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ra=!1,R0(a,t,r);ra=(a.flags&131072)!==0}else ra=!1,Ae&&(t.flags&1048576)!==0&&ap(t,In,t.index);switch(t.lanes=0,t.tag){case 16:e:{a=t.pendingProps;var n=t.elementType,c=n._init;if(n=c(n._payload),t.type=n,typeof n=="function")Zo(n)?(a=Ui(n,a),t.tag=1,t=yh(null,t,n,a,r)):(t.tag=0,t=Ic(null,t,n,a,r));else{if(n!=null){if(c=n.$$typeof,c===N){t.tag=11,t=hh(null,t,n,a,r);break e}else if(c===_){t.tag=14,t=gh(null,t,n,a,r);break e}}throw t=X(n)||n,Error(o(306,t,""))}}return t;case 0:return Ic(a,t,t.type,t.pendingProps,r);case 1:return n=t.type,c=Ui(n,t.pendingProps),yh(a,t,n,c,r);case 3:e:{if(dt(t,t.stateNode.containerInfo),a===null)throw Error(o(387));n=t.pendingProps;var d=t.memoizedState;c=d.element,pc(a,t),js(t,n,null,r);var x=t.memoizedState;if(n=x.cache,Jt(t,Ze,n),n!==d.cache&&lc(t,[Ze],r,!0),ws(),n=x.element,d.isDehydrated)if(d={element:n,isDehydrated:!1,cache:x.cache},t.updateQueue.baseState=d,t.memoizedState=d,t.flags&256){t=kh(a,t,n,r);break e}else 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c=t.type._context,n=t.pendingProps.children,Li(t),c=ma(c),n=n(c),t.flags|=1,oa(a,t,n,r),t.child;case 14:return gh(a,t,t.type,t.pendingProps,r);case 15:return fh(a,t,t.type,t.pendingProps,r);case 19:return Nh(a,t,r);case 31:return n=t.pendingProps,r=t.mode,n={mode:n.mode,children:n.children},a===null?(r=rl(n,r),r.ref=t.ref,t.child=r,r.return=t,t=r):(r=jt(a.child,n),r.ref=t.ref,t.child=r,r.return=t,t=r),t;case 22:return bh(a,t,r);case 24:return Li(t),n=ma(Ze),a===null?(c=dc(),c===null&&(c=qe,d=oc(),c.pooledCache=d,d.refCount++,d!==null&&(c.pooledCacheLanes|=r),c=d),t.memoizedState={parent:n,cache:c},mc(t),Jt(t,Ze,c)):((a.lanes&r)!==0&&(pc(a,t),js(t,null,null,r),ws()),c=a.memoizedState,d=t.memoizedState,c.parent!==n?(c={parent:n,cache:n},t.memoizedState=c,t.lanes===0&&(t.memoizedState=t.updateQueue.baseState=c),Jt(t,Ze,n)):(n=d.cache,Jt(t,Ze,n),n!==c.cache&&lc(t,[Ze],r,!0))),oa(a,t,t.pendingProps.children,r),t.child;case 29:throw t.pendingProps}throw Error(o(156,t.tag))}function zt(a){a.flags|=4}function Ah(a,t){if(t.type!=="stylesheet"||(t.state.loading&4)!==0)a.flags&=-16777217;else if(a.flags|=16777216,!Rg(t)){if(t=Qa.current,t!==null&&((ye&4194048)===ye?ht!==null:(ye&62914560)!==ye&&(ye&536870912)===0||t!==ht))throw ys=uc,cp;a.flags|=8192}}function sl(a,t){t!==null&&(a.flags|=4),a.flags&16384&&(t=a.tag!==22?rm():536870912,a.lanes|=t,Tr|=t)}function Ds(a,t){if(!Ae)switch(a.tailMode){case"hidden":t=a.tail;for(var r=null;t!==null;)t.alternate!==null&&(r=t),t=t.sibling;r===null?a.tail=null:r.sibling=null;break;case"collapsed":r=a.tail;for(var n=null;r!==null;)r.alternate!==null&&(n=r),r=r.sibling;n===null?t||a.tail===null?a.tail=null:a.tail.sibling=null:n.sibling=null}}function Ge(a){var t=a.alternate!==null&&a.alternate.child===a.child,r=0,n=0;if(t)for(var c=a.child;c!==null;)r|=c.lanes|c.childLanes,n|=c.subtreeFlags&65011712,n|=c.flags&65011712,c.return=a,c=c.sibling;else 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10cture?",ctaSub:"Talk to our team and discover how the ecosystem can serve your city, institution or business.",techCapTitle:"Technical Capabilities",techCapSub:"Advanced detection and tracking powered by the UMSI engine.",tab0:"Autonomous Search",tab1:"Body Recognition",tab2:"Object Search",f0t0:"Violent Action",f0d0:"Detects fights and assaults in real-time.",f0t1:"Photo/Video Track",f0d1:"Recognize and follow individuals from provided media.",f0t2:"Physical Traits",f0d2:"Search based on characteristics, metadata, or images.",f0t3:"Target Pursuit",f0d3:"Identify wanted individuals and track them across networks.",f1t0:"Aggressor Logging",f1d0:"Complete record of aggressor characteristics and metadata.",f1t1:"Crowd Analysis",f1d1:"Monitor dense areas for anomalies.",f1t2:"Posture Detection",f1d2:"Identify suspicious loitering or hiding.",f1t3:"Multi-cam Handoff",f1d3:"Seamlessly pass body tracking between camera views.",f2t0:"License Plates",f2d0:"Active pursuit of specific vehicle plates (ALPR).",f2t1:"Vehicle Traits",f2d1:"Search by color, make, model, and damage.",f2t2:"Weapon Detection",f2d2:"Immediate alerts for firearms or bladed weapons.",f2t3:"Custom Objects",f2d3:"The system recognizes any object — just tell it what you're looking for.",marqueeItems:["STREETS","NEIGHBORHOODS","CITIES","STATES","COUNTRY","ALL CONNECTED"],networkTag:"UNIFIED INTELLIGENCE NETWORK",networkTitle:"One Search.",networkTitleCyan:"Every Scale.",networkSub:"From a street to an entire country — Perceptrum, Perceptrum Corporate and F.A.S.T.-AI work as one network: millions of private cameras, thousands of government systems, and FAST-AI traffic cameras all connected."},Xj=JSON.parse(`{"tag":"Public Safety · Institutional · Mission Critical","heroTitle":"Cameras are everywhere.","heroTitle2":"But do they really protect you?","heroSub":"Perceptrum Corporate transforms any camera into an active intelligent surveillance agent — operating 24/7, without human intervention.","seeSolution":"See the Solution","integratedSurveillance":"INTEGRATED SURVEILLANCE","stat1":"24/7 — Continuous Monitoring","stat2":"100% — Automatic and Autonomous","stat3":"0 — Cameras replaced","stat4":"LGPD — Fully Compliant","problemTag":"The Problem","problemTitle":"The old model is silently failing","problem1":"Cameras used only for traffic fines","problem2":"Manual monitoring — slow and inefficient","problem3":"No autonomous response to critical events","problem4":"Vast infrastructure underutilized by the State","problemStat":"< 5% of incidents handled in real time by the current monitoring model","solutionTag":"The Solution","solutionTitle":"What if every camera became intelligent?","sol1title":"Public and private cameras","sol1desc":"Homes, businesses, shops and roads — all integrated","sol2title":"AI that understands context","sol2desc":"Not just detection — it interprets the scene like an experienced operator","sol3title":"Natural language","sol3desc":"Configure and query cameras by talking — no technical knowledge needed","solQuote":"Public and private cameras. 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10overage levels — streets, neighborhoods, cities, states or the entire available network — according to the access permissions of each operation. Once the person, vehicle or object is found, Perceptrum Corporate automatically begins tracking, reporting where it was seen, the route taken and where it reappeared, always supported by images and videos to document the occurrence.","engineCovP3":"The key differentiator of Perceptrum Corporate is that it does not rely solely on manual searches by an operator. In addition to locating by visual characteristics, the platform can identify situations and behaviors of interest and automatically trigger search and tracking — recognizing relevant facts like an armed person or a vehicle involved in an incident and activating tracking across the entire available camera network.","engineCovLevels":["Streets","Neighborhoods","Cities","States","Network","National"],"engineQuote":"Greater coverage area. Intelligent search across the entire network.","engineQuoteDesc":"Perceptrum Corporate extraordinarily expands the ability to locate people, vehicles and objects of interest by integrating public security with an extensive authorized private monitoring network.","findTag":"Perceptrum Find","findTitle":"Intelligent distributed search to locate people, vehicles and objects in real time.","findTab1":"People","findTab2":"Vehicles","findTab3":"Objects","findTab4":"Real Time","findQuote":"A single operation can trigger a large-scale search.","findStep1":"Register the target with description and reference images","findStep2":"Define the coverage area by state or region","findStep3":"Monitor the operation in real time","findStep4":"View results received live","findStep5":"Audit every step with full traceability","corpPlatTag":"Corporate and Institutional Platform","corpPlatTitle":"Perceptrum Corporate: real expansion of surveillance coverage","corpPlatDesc":"Perceptrum Corporate is the corporate and institutional platform of the network. When a search is initiated, it automatically activates all public cameras connected to the authorized ecosystem in the defined region — public agencies, city halls, states, secretariats and official monitoring structures. An incident identified at one point can be searched across a much larger area, with much greater response capacity.","targetRegTag":"Target Registration","targetRegTitle":"The search target is defined simply and visually","targetRegDesc":"To start an operation, simply inform what needs to be found. The platform allows registering target type, objective description, visual characteristics, observed context and reference images — transforming operational information into a structured visual target, ready to be distributed across the network.","geoSelectTag":"Geographic Selection","geoSelectTitle":"Search by region, city, state or defined area","geoSelectDesc":"Perceptrum Find allows you to clearly define where the operation should take place. It is possible to select the search area by geofence, including streets, neighborhoods or specific regions. The search stops being generic and becomes intelligent, targeted and operationally efficient.","geoSelectBadge1":"More operational focus","geoSelectBadge2":"Less unnecessary processing","geoSelectBadge3":"Much faster response","privDesignTag":"Perceptrum Corporate + Perceptrum Partnership","privDesignTitle":"Perceptrum: the private layer that expands the network without exposing privacy","privDesignDesc":"Perceptrum is the private version of the technology, designed for businesses, shops, condominiums and homes. It participates in the search network in an authorized manner, expanding operational coverage without requiring invasive integration. When an authorized search is distributed by Perceptrum Corporate, enabled private environments collaborate locally — and the system returns only what is necessary for the operation, using the requester Perceptrum Corporate's API KEY, without spending the private user's tokens.","privDesignSub":"More coverage, without opening live video to third parties","realTimeTag":"Real-Time Operation","realTimeTitle":"Operation monitored live, with full traceability","realTimeDesc":"It is not enough to search. You need to monitor, record and audit. Perceptrum Find was designed to offer real-time operational vision: search progress, execution status, results received, operational events and complete audit trail.","valuePropTitle":"A new way to expand electronic security","valuePropSub"

10:"With the Perceptrum Corporate + Perceptrum ecosystem, surveillance stops being limited to isolated islands of cameras and starts functioning as an intelligent, distributed and collaborative network.","valueProp1":"Expand coverage","valueProp2":"Reduce integration costs","valueProp3":"Simplify operation","valueProp4":"Preserve privacy","valueProp5":"Make search much more efficient","perceptrumTitle":"Perceptrum: the private layer that expands the network without exposing privacy","perceptrumDesc":"Perceptrum is the private version of the technology, designed for businesses, shops, condominiums and homes. It participates in the search network in an authorized manner, expanding operational coverage.","priv1":"No live video streaming to third parties","priv2":"No installation of additional equipment","priv3":"No integrations that increase the risk surface","priv4":"Authorized and reversible collaboration by the owner","capTitle":"One platform. Unlimited capability.","cap1title":"24/7 Surveillance","cap1desc":"Autonomous agents that never sleep, monitoring events in real time.","cap2title":"Camera Chat","cap2desc":"Ask anything in natural language. The AI responds based on live video.","cap3title":"Automatic Alerts","cap3desc":"Immediate notifications by email, SMS or integrated systems when an incident is detected.","cap4title":"Target Tracking","cap4desc":"Track suspects or vehicles across the entire city, camera by camera, fully automatically.","cap5title":"Public + Private Network","cap5desc":"Integrates public and private cameras in the same operational intelligence platform.","cap6title":"Contextual Analysis","cap6desc":"Maintains event context over time, with no loss of information between cameras.","whoTitle":"Built for these institutions","who1":"City Halls and Governments","who2":"Police Forces","who3":"Municipal Guards","who4":"Command & Control Centers","who5":"Public Safety Departments","who6":"Airports and Seaports","who7":"Prisons & Detention Centers","who8":"Public Enterprises","lgpdTitle":"Privacy & LGPD Compliance","lgpd1":"No permanent streaming of private video to public systems","lgpd2":"Voluntary and reversible cooperation by camera owners","lgpd3":"Analysis executed locally in the private environment","lgpd4":"Only relevant results are shared — never continuous feed","lgpd5":"Full audit trail for every operation","dialogTag":"Real-world Usage Example","dialogTitle":"Public safety in practice","dialogQ1":"Was this child seen by any authorized camera?","dialogA1":"Yes — detected at 2:32 PM at camera on Rua das Flores No. 48, heading north.","dialogQ2":"Start automatic tracking.","dialogA2":"Tracking started. Following across 3 active cameras. Last location: Av. Central, heading east.","ecosysTitle":"A platform that goes further","ecosysSub":"Perceptrum Corporate integrates with a complete ecosystem of intelligence solutions for the State.","eco1title":"Perceptrum Corporate","eco1desc":"Core platform — public and private cameras, 24/7 monitoring, camera chat and automatic tracking.","eco2title":"F.A.S.T.-AI","eco2sub":"Intelligent traffic enforcement","eco2desc":"Advanced system integrated with Perceptrum Corporate for automated real-time traffic violation enforcement.","eco3title":"CrimeDetector.ai","eco3sub":"Automatic crime identification","eco3desc":"Free platform for identifying criminal actions and tracking individuals and vehicles of interest.","eco4title":"Perceptrum Personal","eco4sub":"Solution for home users","eco4desc":"Extends the intelligent surveillance network to the private sector — homes, shops and businesses.","ctaTitle":"Transform every camera into an active security agent","ctaSub":"Talk to our team and request a pilot program for your institution.","engineCovBadge":"Active search across the entire network","realTimeLabel1":"Live results","realTimeLabel2":"Real-time operations","realTimeLabel3":"Audit trail"}`),Zj={tag:"Private Sector · Home · Business · Condominiums",heroTitle:"Converse With Your",heroTitleAccent:"Cameras",heroSub:"PERCEPTRUM is an intelligent agent like ChatGPT, built specifically to SEE, UNDERSTAND, and RESPOND about what your cameras capture — and to privately expand the city-wide security network.",imusCallout:"Perceptrum Personal is powered by the same proprietary engine used by Perceptrum Corporate — a universal multimodal AI that processes video, audio, and context simultaneously, understanding scenes in depth and responding in natural language.",whatTag:"What Is Perceptrum",whatTitle1:"The private security revolution",whatDesc1:"Perceptrum transforms even the simplest cameras into intelligent agents. It detects intrusions, violent actions (robberies, muggings, fights), and automatically connects to the F.A.S.T.-AI 

10network to begin active tracking — autonomously and without human interference.",whatTitle2:"Part of the network",whatDesc2:"Perceptrum participates in the Perceptrum Corporate search network in an authorized manner, expanding operational coverage without invasive integration. When an authorized search is distributed by Perceptrum Corporate, enabled private environments collaborate locally.",howTitle:"How It Works",feat1title:"Camera Chat",feat1desc:'Ask anything in natural language. "Was someone at my front door between 6 PM and 8 PM?" The AI responds based on live or recorded video.',feat2title:"Crime Detection",feat2desc:"Automatically detects intrusions, violent actions (robberies, muggings, fights) and sends instant alerts.",feat3title:"Network Participation",feat3desc:"When an authorized search is distributed by Perceptrum Corporate, your Perceptrum privately collaborates — without opening live video to authorities.",feat4title:"Privacy by Design",feat4desc:"No live video streaming to third parties. No open router ports. You decide which cameras participate in authorized searches.",networkTag:"Voluntary Cooperation Network",networkTitle:"How a private camera participates in public security searches",networkDesc:"The owner has full control. Participation is voluntary, per-camera, and revocable at any time.",networkStep1:'Owner activates "Allow Public Access" for specific cameras in the Perceptrum settings panel.',networkStep2:"System explains exactly what will happen and asks for explicit confirmation.",networkStep3:"When a search is triggered by Perceptrum Corporate or F.A.S.T.-AI, the request arrives locally to the Perceptrum system.",networkStep4:"Perceptrum analyzes its own cameras locally — no live stream is sent to authorities.",networkStep5:"Only if a match is found is a result sent to the requesting platform. Your environment stays private.",networkPrivNote:"The camera never opens a port. No continuous video is streamed. Analysis happens inside your network. You remain in control.",usecasesTitle:"Built For Every Private Space",uc1title:"Home Security",uc1desc:"Intrusion detection, package theft, visitor identification, elderly/child monitoring.",uc2title:"Business & Commerce",uc2desc:"Robbery prevention, employee safety monitoring, after-hours intrusion alerts.",uc3title:"Condominiums",uc3desc:"Gate monitoring, common area surveillance, visitor tracking, package management.",privTitle:"Your cameras. Your rules.",privItem1:"No live video streaming to third parties",privItem2:"No additional equipment needed",privItem3:"Per-camera authorization — you decide",privItem4:"LGPD fully compliant",privItem5:"Authorized and reversible collaboration",synergyTitle:"When Perceptrum joins Perceptrum Corporate's network",synergyDesc:"A criminal identified by a business camera in the morning can be tracked through the city using public cameras. This is the power of the unified Perceptrum Corporate + Perceptrum network.",ctaTitle:"Start Conversing With Your Cameras",detectedList:"What Perceptrum detects",detect1:"Intrusions & unauthorized presence",detect2:"Robbery & violent actions",detect3:"Suspicious behaviors",detect4:"Perimeter risk",detect5:"Abandoned objects",detect6:"Cries for help",detect7:"Operational anomalies",detect8:"Configurable events",drakonFindIntegTitle:"Perceptrum Find Integration",drakonFindIntegDesc:"When Perceptrum identifies an element of interest, it automatically records the visual characteristics and initiates a distributed search across the entire authorized camera network — triggering the Perceptrum Find operation instantly."},eN={tagBadge:"Public Enforcement · Urban Security · Traffic",acronym:"Autonomous Security and Traffic Monitoring",subtitle:"Active Pursuit Platform · Urban Intelligence · Public Sector",heroSub:"The world's first autonomous AI platform that unifies public and private camera networks to actively track suspects, missing persons and vehicles — across entire smart cities, in real time.",stat1:"Real-Time Tracking",stat2:"Public + Private Networks",stat3:"LGPD Compliant",stat4:"Zero Hardware Replacement",imusCallout:"F.A.S.T.-AI is powered by Aiquimist's proprietary multimodal AI engine — the same technology shared across Perceptrum Corporate and Perceptrum. It simultaneously processes video feeds, license plates, behavioral patterns, and geospatial context to generate actionable intelligence at city scale.",imusTags:["Video Analysis","Audio Context","Behavioral Recognition","Geospatial Correlation","Natural Language Queries"],problemTag:"The Problem",problemTitle:"Cities have cameras. Not intelligence.",prob1:"Traffic cameras used only for fines — not for safety",prob2:"Public security and traffic departments operate in silos",prob3:"Suspects cross camera zones with no automatic handoff",prob4:"Massive infrastru

10cture with near-zero autonomous response",prob5:"Manual review of footage — hours after incidents occur",probStat:"Suspects routinely escape between camera zones because no system connects them in real time.",howTag:"How It Works",howTitle:"One incident triggers the entire network.",s1title:"Incident Detected",s1desc:"A camera — public or Perceptrum private — detects a crime, a suspect on a wanted list, or a suspicious behavior. F.A.S.T.-AI is immediately triggered.",s2title:"Target Registered",s2desc:"The system registers the target: physical description, reference images, vehicle plate, last known location and direction of movement.",s3title:"Network Search Distributed",s3desc:"Perceptrum Corporate distributes the search across all authorized cameras in the area — public traffic cameras, private Perceptrum nodes, and mobile units.",s4title:"Real-Time Tracking",s4desc:"As the suspect moves between camera zones, F.A.S.T.-AI constructs a live movement trajectory on the operational map — automatically.",s5title:"Field Units Alerted",s5desc:"Police and patrol units receive real-time location updates and interception coordinates — enabling active pursuit rather than post-incident review.",capTag:"Capabilities",capTitle:"A Unified Security Ecosystem",cap1title:"City-Wide Mesh",cap1desc:"Integrates municipal traffic cameras with private Perceptrum CCTV nodes — securely and without hardware changes.",cap2title:"Legal Target ID",cap2desc:"Automatically cross-references databases for individuals wanted by justice — face, plate, behavioral profile.",cap3title:"Active Tracking",cap3desc:"Plots movement trajectories on a live map as subjects move between camera zones, camera by camera.",cap4title:"Autonomous Response",cap4desc:"No human needed to initiate tracking. Detection triggers the entire pursuit workflow automatically.",cap5title:"Traffic + Safety Unified",cap5desc:"Combines traffic infrastructure with public safety operations into a single command platform.",cap6title:"CrimeDetector App",cap6desc:"Free app that connects basic cameras to the F.A.S.T.-AI network for autonomous alerts, expanding coverage.",ecosysTitle:"The Aiquimist Ecosystem",ecosysSub:"F.A.S.T.-AI is the operational command layer. Perceptrum Corporate and Perceptrum are the eyes. Together, they form the most complete urban security network available today.",ecosysQuote:"A criminal identified at a business camera connects to Perceptrum Corporate's public network and triggers F.A.S.T.-AI's active pursuit — all within seconds, with no human intervention.",complianceTitle:"Designed for the Public Sector",comp1:"LGPD and data protection legislation fully compliant",comp2:"Judicial authorization workflow built into the platform",comp3:"Zero hardware replacement — works with existing infrastructure",comp4:"Full audit trail with traceability for every operation",comp5:"Role-based access control for different agencies",comp6:"Encrypted data transit across all network nodes",ctaTitle:"Ready to modernize your city's security?",ctaSub:"F.A.S.T.-AI is tailored for municipalities, police forces, and government agencies. Request technical documentation and a pilot program proposal."},aN={tag:"Get In Touch",heroTitle:"Let's talk about your security challenge",heroSub:"Whether you represent a municipality, a company, a condominium or an institution — we have a platform for your reality.",formName:"Full Name",formEmail:"Email",formPhone:"Phone / WhatsApp",formOrg:"Organization / City",formSector:"Sector",formSectorOpt1:"Select your sector",formSectorOpt2:"Public Security / Government",formSectorOpt3:"Traffic & Urban Mobility",formSectorOpt4:"Private Company",formSectorOpt5:"Condominium / Real Estate",formSectorOpt6:"Residence",formSectorOpt7:"Other",formProduct:"Platform of Interest",formProdOpt1:"Select a platform",formProdOpt2:"Perceptrum Corporate",formProdOpt3:"Perceptrum Personal",formProdOpt4:"F.A.S.T.-AI",formProdOpt5:"All three / Ecosystem",formMessage:"Describe your challenge or question",formSend:"Send Message",formSending:"Sending...",formSuccess:"Message sent! Our team will c

10ontact you shortly.",formError:"Error sending message. Please try again or contact us directly.",emergency:"Emergency Contact",phone:"+55 (95) 99111-6093",email:"[email protected]",location:"Brazil — Global Operations",responseTime:"Response time: up to 24 business hours",fieldRequired:"This field is required",labelEmail:"Email"},tN={heroTag:"About Us",heroTitle:"Factory of Solutions with",heroTitleCyan:"Artificial Intelligence",heroSub:"Professionals who have lived and breathed technology for over four decades — from the 1980s to today's neural networks.",historyTag:"Our Story",historyTitle:"AiQuimist.ai is a factory of solutions based on artificial intelligence",historyP1:"Founded by professionals immersed in technology for more than four decades. We started in the 1980s, when AI was written in PROLOG, LISP and ADA; today we develop proprietary neural networks that work anywhere — from GPU data centers to SBC boards on poles and agricultural machines. Leading to the creation of Perceptrum Corporate, Perceptrum and F.A.S.T.-AI, which uses Universal Multimodal Security Interpretation.",historyP2:"Whether saving lives on the streets or maximizing forest development, AiQuimist.ai turns 40 years of knowledge into results you see within weeks.",card1Tag:"A concept with no parallel in the world",card1Text:"Throughout this journey we built cutting-edge solutions for public and private security, digital education, traffic enforcement, road engineering and urban maintenance. The apex of this experience is our Perceptrum Corporate + Perceptrum + F.A.S.T.-AI network — the first platform connecting government and private cameras into a single computer vision network.",card2Tag:"Precision Agriculture",card2Text:"We apply the same expertise to precision agriculture: in partnership with AutoAgroMachines, we embed AI into Forest.Bot (planting & restoration), irrigators and fertilisers, monitoring every seedling and guiding management in real time.",teamTag:"Leadership",teamTitle:"Our Team",teamSub:"Decades of experience in AI, software and innovation — united to turn vision into results.",m1Tag:"Leadership",m1Role:"President (CEO)",m1Bio:"Computer vision specialist, Nicholas has been developing AI solutions since the age of 16.",m1Quote:'"My goal is to bring world-class AI to any camera or machine, whether at an urban intersection or in a forest planting machine."',m1b1:"9+ years CUDA/TensorRT & Jetson Orin optimization (< 50 ms latency)",m1b2:"Technical creator of Perceptrum Corporate, Perceptrum Personal and F.A.S.T.-AI",m1b3:"Executive programs at MIT, Stanford, Harvard and Michigan",m1b4:"Created models detecting weapons, accidents, agricultural pests and planting failures",m2Tag:"Technology",m2Role:"VP of Technology (CTO)",m2Bio:"Communications graduate and software engineer by passion, Eduardo bridges innovation and scale.",m2b1:"Co-author of the legendary Kit 5 (2 million+ copies sold)",m2b2:"Pioneer in live-video social networks and mobile app generators (BCyou)",m2b3:"Creator of Kit 5 mobile — first NO CODE mobile system generator",m2b4:"30+ years in applied AI, IoT and global software distribution",m3Tag:"Marketing",m3Role:"VP of Marketing (CMO)",m3Bio:"IT visionary since 1984, Marcello turns bold ideas into market-leading products.",m3b1:"Created the first system generator for non-technical users in Brazil",m3b2:"Developed the Disque-Denúncia system (national security reference)",m3b3:"Inventor of Forest.Bot — a machine that plants 1,800 trees per hour",m3b4:"Rio Branco Medal and over 35 years developing innovative technologies",valTag:"Principles",valTitle:"What drives us?",val1Label:"INNOVATION",val1Title:"Innovation with immediate impact",val1Desc:"All our solutions deliver immediate impact for our clients — in cost, efficiency and quality.",val2Label:"AI FOR ALL",val2Title:"Democratization of AI",val2Desc:"Perceptrum brings professional-grade AI vision to any business; every camera can now intelligently protect your premises.",val3Label:"INTEGRATION",val3Title:"Frictionless integration",val3Desc:"Existing hardware + AiQuimist.ai software = results in less than 30 days.",platTag:"Ecosystem",platTitle:"Our platforms",plat1Title:"Perceptrum Corporate",plat1Desc:"Autonomous AI security agent that monitors cameras 24/7, detects threats in real time and integrates with any existing CCTV / VMS 

10infrastructure.",plat2Title:"Perceptrum Personal",plat2Desc:"Computer vision platform for the private sector: behavioral analytics, access control and business intelligence — powered by your existing cameras.",plat3Title:"F.A.S.T.-AI",plat3Desc:"Active pursuit system for security forces: predictive multi-camera tracking, autonomous target follow-through and real-time dispatch integration.",ctaTitle:"Let's build the",ctaTitleCyan:"future together!",ctaSub1:"Municipalities, state governments, security forces, private companies and rural producers are already reaping concrete benefits from our technology.",ctaSub2:"Get in touch and discover how we can generate immediate impact in your territory or business.",ctaBtn1:"Schedule Demo",ctaTagline:"AiQuimist.ai - SECURITY INNOVATION, REAL RESULTS."},iN={heroTag:"Careers",heroTitle:"Build the future",heroTitleCyan:"with us",heroSub:"Join a team that transforms cameras into intelligent agents, forests into algorithms and cities into safe ecosystems.",btnViewJobs:"View open positions",btnSpontaneous:"Spontaneous application",whyTag:"Why AiQuimist.ai?",whyTitle:"More than a job",whySub:"Here every line of code has direct impact on lives, cities and territories.",perk1Title:"Cutting-edge technology",perk1Desc:"Work with the latest GPUs, Jetson Orin and proprietary neural networks.",perk2Title:"Global presence",perk2Desc:"Projects in Brazil, USA, Saudi Arabia, UAE and Spain.",perk3Title:"Real impact",perk3Desc:"Your solutions go to streets, cities and forests — visible results in weeks.",perk4Title:"Experienced team",perk4Desc:"40+ years of cumulative experience in AI, software and innovation.",perk5Title:"Accelerated growth",perk5Desc:"International start-up expanding with real growth opportunities.",perk6Title:"Flexibility",perk6Desc:"Remote, hybrid and on-site positions across multiple cities and countries.",openTag:"Opportunities",openTitle:"Open positions",openSub:"Didn't find the right role? Send a spontaneous application to",job1Title:"Computer Vision Engineer",job1Area:"Technology",job1Desc:"Development and optimisation of real-time object detection, tracking and scene analysis models. Experience with YOLO, OpenCV, CUDA/TensorRT.",job2Title:"Full Stack Developer",job2Area:"Engineering",job2Desc:"Building dashboards, APIs and interfaces for our AI platforms. Stack: React, Node.js, PostgreSQL, Python.",job3Title:"Embedded AI Specialist (Jetson / SBC)",job3Area:"Technology",job3Desc:"Embedding neural networks in edge devices (Jetson Orin, Raspberry Pi). Latency and performance optimisation in resource-constrained environments.",job4Title:"Public AI Project Manager",job4Area:"Operations",job4Desc:"Coordinating deployments in municipalities and public security agencies. Experience in government project management and public tenders.",job5Title:"Corporate Sales Analyst (B2G/B2B)",job5Area:"Sales",job5Desc:"Prospecting and business development with municipalities, state governments, security forces and private companies.",job6Title:"Data Engineer & MLOps",job6Area:"Technology",job6Desc:"Building and maintaining data pipelines, model training and production deployment. Experience with MLflow, Docker, Kubernetes.",procTag:"Process",procTitle:"How does it work?",proc1Title:"Resume submission",proc1Desc:"Send your CV and portfolio to [email protected] with the job title in the subject line.",proc2Title:"Technical screening",proc2Desc:"Our team reviews your profile and responds within 5 business days.",proc3Title:"Technical interview",proc3Desc:"A conversation with the tech team — no timed tests, focus on real experience.",proc4Title:"Offer & onboarding",proc4Desc:"Personalised offer and integration into real projects from day one.",ctaTitle:"Ready to become",ctaTitleCyan:"part of the team?",ctaSub:"Send your resume with the job title in the subject line.",ctaBtn:"Send application",job1Location:"São Paulo, SP / Remote",job2Location:"Remote",job3Location:"São Paulo, SP / Boa Vista, RR",job4Location:"São Paulo, SP",job5Location:"Remote / On-site",job6Location:"Remote",job1Type:"CLT / PJ",job2Type:"CLT / PJ",job3Type:"PJ",job4Type:"CLT",job5Type:"CLT / PJ",job6Type:"PJ"},rN={title:"404 — Page Not Found",message:"The page you're looking for doesn't exist or has been moved.",back:"Back to Home"},sN={title:"Privacy Policy",breadcrumb:"Privacy Policy",lastUpdated:"Last updated: March 21, 2026",intro:"AiQuimist.ai is committed to protecting your privacy and handling your personal data with transparency, security, and respect, in compliance with the LGPD, GDPR, and other applicable laws.",navLabel:"Navigation",toc1:"Introduction",toc2:"Data We Collect",toc3:"How We Use Data",toc4:"Data Sharing",toc5:"Security",toc6:"Retention",toc7:"International Transfers",toc8:"LGPD / GDPR Rights",toc9:"Cookies",toc10:"Children",toc11:"Changes",toc12:"Contact",section1:"1. Introduction",section2:"2. Data We Collect",section3:"3. How We Use Your Data",section4:"4. Data Sharing",section5:"5. Security",section6:"6. Data Retention",section7:"7. International Transfers",section8:"8. LGPD / GDPR Rights",section9:"9. Cookies",section10:"10. Children's Privacy",section11:"11. Changes to This Policy",section12:"12. Contact",bodyNote:"This legal document is available in full in English and Portuguese."},nN={title:"Terms of Service",breadcrumb:"Terms of Service",lastUpdated:"Last updated: March 21, 2026",intro:"This document governs access to and use of AiQuimist.ai products and services. Please read carefully before using any of our services.",navLabel:"Navigation",toc1:"Acceptance",toc2:"Services",toc3:"Account",toc4:"License & IP",toc5:"Acceptable Use",toc6:"Privacy & Data",toc7:"Availability (SLA)",toc8:"Billing",toc9:"Liability",toc10:"Indemnification",toc11:"Termination",section1:"1. Acceptance of Terms",section2:"2. Description of Services",section3:"3. Account Registration",section4:"4. License and Intellectual Property",section5:"5. Acceptable Use",section6:"6. Privacy and Data Protection",section7:"7. Service Availability (SLA)",section8:"8. Pricing, Billing, and Payments",section9:"9. Limitation of Liability",section10:"10. Indemnification",section11:"11. Termination",bodyNote:"This legal document is available in full in English and Portuguese.",section12:"12. Governing Law and Dispute Resolution",section13:"13. Changes to Terms",section14:"14. Contact",toc12:"Governing Law",toc13:"Changes",toc14:"Contact"},lN={howItWorksTag:"How It Works",platformPrefix:"Agentic Platform for",platformHighlight:"Intelligent Vision",platformDesc:"A single command finds any person, vehicle, or object — searching in parallel across all public and private cameras in the city.",nodeQueryLabel:`MULTI-MODAL
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12sub1Desc:"Face · Clothing · Height",sub2Label:"Vehicle",sub2Desc:"Plate · Model · Color",sub3Label:"Animal",sub3Desc:"Breed · Color · Size",sub4Label:"Object",sub4Desc:"Bag · Backpack · Item",sub5Label:"Motorcycle",sub5Desc:"Model · Color · Plate",sub6Label:"Glasses/Hat",sub6Desc:"Accessories · Signs",pillar1Title:"Distributed Search",pillar1Desc:"Perceptrum Find triggers the search to public cameras AND authorized Perceptrum and F.A.S.T.-AI nodes in parallel.",pillar2Title:"Real-Time Handoff",pillar2Desc:"As the target moves between zones, all agents keep tracking without human intervention.",pillar3Title:"Privacy Preserved",pillar3Desc:"Private cameras analyze locally — only results are shared, never the video."},oN=JSON.parse(`{"hero":{"badge":"Use Cases","h1a":"Your cameras are already installed.","h1b":"Now they need to start thinking.","sub":"AiQuimist transforms any security camera into an intelligent system that understands what is happening, acts before it is too late and protects what matters most — without replacing a single piece of equipment.","quote":"You monitor. 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Operational in days.","btn1":"Schedule a Demo","btn2":"Talk to a Specialist","btn3":"Try for Free Now","footnote":"AiQuimist.ai is an American startup with a branch in Brazil. Creators of Perceptrum Corporate, Perceptrum Personal and F.A.S.T.-AI — a proprietary ecosystem of multimodal intelligence for security, protection and urban management. Over 40 years of experience in technological innovation.","privacyTitle":"Your privacy is non-negotiable.","privacyBody":"When you activate voluntary cooperation, no port is opened on your network. No video is transmitted continuously. The analysis happens on your computer. Only when the system finds what is being searched, the result — not the video — is shared with authorities. You are always in control.","privacyLgpd":"Developed in full compliance with the LGPD and international data protection legislation.","integrationBadge":"The Power of Integration","integrationH":"Together, they form something that","integrationHAccent":"does not exist anywhere else in the world.","integrationSub":"For the first time in history, public space, road space and private space are connected in a single operational intelligence — that does not stop, does not get distracted and does not lose track.","faqBadge":"Frequently Asked Questions","traditional2":"Traditional Model","withPlatform2":"With the Platform"},"drakon":{"tag":"Public Safety · Governments · Critical Mission","h":"The State cannot make mistakes. Perceptrum Corporate ensures it doesn't.","s":"Municipalities, governments and security forces now have intelligence that analyzes public cameras in real time, understands the context of each scene and acts before a threat materializes.","a1":"Municipalities and local governments needing to monitor public spaces more efficiently","a2":"State and federal governments with extensive camera networks no team can monitor alone","a3":"Police forces and municipal guards needing instant alerts without relying on attentive operators","a4":"Integrated command and control centers (CIOPs) requiring centralized intelligence","a5":"Prisons and correctional units where any unusual event is a potential threat","a6":"Airports, ports and terminals with critical areas requiring precise, uninterrupted monitoring","a7":"Borders and critical infrastru

12cture where security cannot depend on human attention","uc1t":"Urban Space Monitoring","uc1p":"A control center with 500 cameras has 3 operators. It is humanly impossible to monitor everything. Incidents go unnoticed.","uc1s":"Perceptrum Corporate analyzes all cameras simultaneously. Detects suspicious movement, crowd concentration and abnormal behavior — alerting the operator only when something real occurs.","uc1q":"What would it be like for your team to receive only the alerts that truly matter?","uc2t":"Border Security","uc2p":"Smuggling and trafficking are discovered too late. The team reacts instead of preventing.","uc2s":"The system identifies unusual behavioral patterns in real time — seeking occurrences based on your team's experience — and starts acting first.","uc2q":"How many incidents could have been avoided if your team knew beforehand?","uc3t":"Suspect Search & Tracking","uc3p":"A suspect disappears from cameras after a crime. The team loses track. Hours pass without clues.","uc3s":"The operator types an instruction in natural language. The system mobilizes the entire network of public and cooperative private cameras — tracking the target in real time across the entire grid.","uc3q":"What if your team never lost track of a suspect again?","uc4t":"Airport & Terminal Security","uc4p":"Boarding areas, runways and restricted zones with dozens of cameras. Impossible to monitor everything. Any gap is a vulnerability.","uc4s":"Perceptrum Corporate monitors all critical zones, detects unauthorized access, abandoned objects and suspicious behavior — with immediate, contextualized alerts.","uc4q":"What would be the cost of an incident that could have been prevented?","fint":"Financial Case for the Public Sector","fb1":"Heavy investment in new hardware","fb2":"Hiring operators 24/7","fb3":"Constant equipment maintenance","fb4":"Coverage limited to what was installed","fb5":"Expensive, slow and bureaucratic expansion","fa1":"Zero investment in new hardware","fa2":"Automatic alerts — fewer operators needed","fa3":"Integrates with existing infrastructure","fa4":"Scales at proportionally low cost","fa5":"Operational in days, not months","link":"Explore Perceptrum Corporate in detail"},"perceptrum":{"tag":"Private Security · Residences · Businesses","h":"Your camera was recording. Now it protects.","s":"Perceptrum transforms ordinary cameras into intelligent protection systems — that understand what is happening, alert at the right time and can, with your permission, help save lives beyond your premises.","a1":"Homes and residences — real 24/7 protection without private security staff","a2":"Condominiums and buildings — intelligent perimeter, lobby and common area monitoring","a3":"Small and medium businesses — real-time theft and intrusion detection","a4":"Retail chains — unified view of all locations with automatic alerts","a5":"Banks and financial institutions — proactive risk detection before escalation","a6":"Shopping centers — intelligent coverage of parking lots and sensitive areas","a7":"Private schools and universities — student safety, access control and perimeter monitoring","a8":"Hospitals and clinics — sensitive environments with precise, privacy-respecting monitoring","a9":"Warehouses and logistics facilities — access control, asset tracking and process verification","a10":"Farms and rural properties — remote monitoring of large areas without high-speed internet","uc1t":"Residential Condominium","uc1p":"The lobby camera records everything. But someone only watches after something happens. Security is always reactive.","uc1s":"Perceptrum monitors the lobby, parking lot and common areas in real time. Alerts the building manager when suspicious access, unauthorized presence or unusual behavior is detected.","uc1q":"What if your condominium knew about a threat before it entered?","uc2t":"Retail Store","uc2p":"Thefts happen. The camera filmed it, but nobody saw it at the time. The loss walked out the door with the thief.","uc2s":"The system identifies typical theft behaviors in real time and alerts before the product disappears.","uc2q":"How much does your store lose per year in thefts that could have been prevented?","uc3t":"Industry & Logistics","uc3p":"Complex processes are verified manually. Errors go unnoticed. Auditing is expensive and slow.","uc3s":"Automated JOBs verify each process step — volume counting, vehicle verification, delivery confirmation — and alert only when something deviates from expected.","uc3q":"What if you could audit all processes without hiring another employee?","uc4t":"Public Sector — Expanded Coverage","uc4p":"The city has 2,000 public cameras. The suspect disappeared around the corner. No public camera there — the search ends.","uc4s":"With the Perceptrum voluntary network, the search continues through private cameras of residents and businesses that chose to cooperate — without exposing live video, without violating privacy.","uc4q":"Imagine a network of one million cameras cooperating with your team — at cents per search.","fint":"Perceptrum Business Model","fb1":"Free basic monitoring to start","fb2":"No credit card required","fb3":"Existing cameras — zero hardware replacement","fb4":"Voluntary cooperation — you decide","fb5":"Privacy preserved by architectural design","fa1":"Premium: less than a coffee per day","fa2":"All platform features unlocked","fa3":"Automatic alerts and continuous analysis","fa4":"Integration with the national cooperative network","fa5":"Full GDPR / 

12LGPD compliance","link":"Explore Perceptrum in detail"},"fast":{"tag":"Urban Planning · Traffic · Mobility","h":"Your city doesn't need more cameras. It needs the ones it already has to be smarter.","s":"F.A.S.T.-AI transforms the camera infrastructure already installed on public roads into a real-time urban intelligence system — generating strategic information, enforcing violations and supporting operational decisions with real data.","a1":"Municipal transit and mobility secretariats — real-time visibility of the entire road network","a2":"Urban operations centers (COUs) — centralized intelligence on city flows and events","a3":"Public works and urban planning departments — real usage data for infrastructure decisions","a4":"Traffic enforcement agencies — automatic fine generation and violation recording","a5":"Managers of large public events — flow control and risk anticipation in crowds","a6":"Highway and parking concessionaires — intelligent access and circulation monitoring","uc1t":"Automated Traffic Enforcement","uc1p":"Violations happen all the time, but enforcement depends on on-site agents — expensive, limited and impossible to be everywhere.","uc1s":"The system automatically identifies violations, records with evidence and generates the notification — without an agent, without additional cost, 24 hours a day.","uc1q":"How much does your city collect per month in fines? Multiply that by 10.","uc2t":"Congestion Management","uc2p":"The manager only learns about congestion when traffic has already collapsed. Decisions are reactive and data arrives late.","uc2s":"F.A.S.T.-AI detects congestion formation before it escalates, identifies the origin point and suggests diversions — in real time.","uc2q":"What if your city could act before the congestion, not after?","uc3t":"Fleeing Vehicle Tracking","uc3p":"A vehicle involved in a crime disappears on the streets. Cameras recorded it, but no one can follow the route in real time.","uc3s":"The system automatically tracks the vehicle across the entire network of public and cooperative private cameras — reporting position and route in real time.","uc3q":"How many criminals escape because tracking is manual and slow?","uc4t":"Intelligence for Large Events","uc4p":"Concerts, matches, demonstrations. Unpredictable crowds. Managers without real-time data make decisions blindly.","uc4s":"The system monitors flow density, detects abnormal crowds, anticipates riot risks and provides the manager with a live decision dashboard.","uc4q":"Imagine managing 50,000 people with the same precision as 500.","fint":"F.A.S.T.-AI is not a cost. It is a revenue source.","fb1":"Enforcement depends on on-site agents","fb2":"Coverage limited to fixed points","fb3":"Reaction to congestion after collapse","fb4":"Data arrives too late for decisions","fb5":"Growing operational costs year after year","fa1":"Automated fines generated 24/7","fa2":"Coverage of the entire existing road network","fa3":"Real-time congestion prevention","fa4":"Live decision dashboard","fa5":"The investment pays for itself — and generates surplus","link":"Explore F.A.S.T.-AI in detail"},"integrationBullets":{"b1":"The search doesn't stop when the suspect leaves a public camera","b2":"The network grows with every private camera that joins voluntarily","b3":"Costs don't grow proportionally — you pay per query, not per infrastructure","b4":"Privacy is preserved because analysis occurs locally, in the user's environment","b5":"Data protection law compliance is built into the architecture — not just promised","b6":"Intelligence continuously improves with every processed event"},"integrationSteps":{"step1":"Identifies the event on public cameras","step2":"Tracks the vehicle through the road network automatically","step3":"Activates cooperative private cameras in the neighborhood"},"faq":{"q1":"Do I need to replace my cameras?","a1":"No. The platforms are designed to work on any camera already installed, of any brand, model or generation. If your camera has an IP address and supports the RTSP protocol — and the vast majority do — it works.","q2":"Does it need a powerful server with a GPU?","a2":"No. None of the three platforms require a GPU. Perceptrum Corporate and F.A.S.T.-AI run on conventional servers. Perceptrum runs on a computer with an Intel i5 processor or better.","q3":"How is integration with my current system done?","a3":"You import an Excel or CSV file with camera information — IP address, manufacturer, username and password. The system goes into operation immediately. No complex configurations, no specialized support required.","q4":"Is my privacy compromised with Perceptrum?","a4":"No. When you activate voluntary cooperation, no video is transmitted continuously. The analysis occurs on your computer. Only the relevant result of a search is shared with authorities — not the images. You are in total control.","q5":"How long does implementation take?","a5":"For Perceptrum, a matter of minutes. For Perceptrum Corporate and F.A.S.T.-AI, onboarding is fast and can be done without interrupting current operations. We can start with a pilot project on your existing infrastru

12cture.","q6":"How does the solution pay for itself?","a6":"For the public sector: F.A.S.T.-AI generates direct revenue through automatic fines, while also reducing operational costs. For companies: loss prevention, monitoring team reduction and process automation deliver immediate ROI. For governments using Perceptrum: the cost per search is cents — incomparably lower than any physical network expansion."},"ctaTitle":"The question is not whether you need this technology.","ctaGradient":"The question is how much you'll still lose without it."}`),cN={heroTag:"Governmental Intelligence System",heroTitle1:"AI that sees everything",heroTitle2:"your operators miss.",heroSub:"Government-grade surveillance orchestration platform. Uninterrupted 24/7 analysis across thousands of cameras simultaneously. Surgical precision. No detail missed.",heroCta1:"Request Restricted Access",heroCta2:"Understand the Technology",statLabel1:"States",statLabel2:"Municipalities",statLabel3:"Operation",reachTag:"Unlimited Reach",reachTitle:"There is no limit to what the system can see.",reachDesc:"Any event captured by any camera in the network can trigger an autonomous search that propagates instantly across municipalities, states and the entire national territory.",sc1tag:"Traffic Accident",sc1title:"Hit and Run After Traffic Accident",sc1desc:"Camera identifies collision. The vehicle flees. The system automatically triggers a search across Perceptrum Corporate cameras in the city, propagates to FAST-AI on highways and alerts neighboring instances. The net closes in seconds — with no human operator in the loop.",sc1p1:"Perceptrum Corporate",sc1p2:"FAST-AI",sc1p3:"Autonomous",sc2tag:"Pedestrian",sc2title:"Hit-and-Run with Pedestrian",sc2desc:"System detects the accident, extracts the vehicle's license plate and model. In milliseconds: propagates to Perceptrum Corporate cameras across the municipality, to authorized Perceptrum Personal private cameras, and to the entire FAST-AI network. The vehicle has nowhere to go.",sc2p1:"Perceptrum Corporate",sc2p2:"Perceptrum Personal",sc2p3:"FAST-AI",sc3tag:"Child Safety",sc3title:"Missing or Abducted Child",sc3desc:"A search for a missing child propagates from one municipality to all municipalities, from one state to all states. All Perceptrum Corporate, Perceptrums and FAST-AIs in the country participate in the search, cross-referencing data in real time.",sc3p1:"National",sc3p2:"All Perceptrum Corporate",sc3p3:"Perceptrum Personal",sc4tag:"Fugitives",sc4title:"Criminals, Fugitives and Terrorists",sc4desc:"Fugitives, national wanted persons, terrorism suspects. The target is registered once in the watchlist. The national camera network starts searching 24 hours a day across the entire territory — cities, highways and authorized private spaces.",sc4p1:"National Watchlist",sc4p2:"FaceID",sc4p3:"ReID",humanTag:"The Human Factor",humanTitle:"The Human Factor is the Weakest Link",humanLabel:"Human Operator",hw1:"Severe visual fatigue after 20 minutes of monitoring.",hw2:"Effectively focuses on only 1 to 4 cameras simultaneously.",hw3:"Misses critical events while analyzing other screens.",hw4:"Requires shift changes and complex logistical coordination.",hw5:"Unable to correlate events across distant cameras over time.",ai1:"Relentless 24/7/365 processing. Zero fatigue.",ai2:"Analyzes thousands of cameras simultaneously in real time.",ai3:"No frame is ignored. No detail is missed.",ai4:"Autonomous, constant and perfectly predictable operation.",ai5:"Complex event chain reasoning (Orchestration).",orchTag:"Perceptrum Corporate Exclusive",orchTitle:"Multi-Camera Orchestration",orchDesc:"This is not simple per-camera detection. It is real-time chained reasoning. The output of one camera becomes the input of the next, creating complex intelligence pipelines.",orch1tag:"Initial Detection",orch1title:"Camera A detects target",orch1desc:"Camera A detects a person with characteristics X in the east zone.",orch1badge:"OUTPUT TOKEN GENERATED",orch2tag:"Propagation & Tracking",orch2title:"Network activation",orch2desc:"The token automatically programs Cameras B, C and D to search for the target.",orch2badge:"INPUT TOKEN RECEIVED",orch3tag:"Action & Alert",orch3title:"Confirmed and alerted",orch3desc:"Camera C confirms the trajectory. Alert triggered only when all conditions are validated.",orch3badge:"TARGET CONFIRMED",modTag:"Intelligence Modules",modTitle:"Intelligence Modules",modDesc:"The most complete analytical arsenal available to security forces. Detect anomalous behaviors and threats in real time.",mod1title:"Weapon Detection",mod1desc:"Long and short firearms.",mod2title:"FaceID",mod2desc:"Match against wanted lists in milliseconds.",mod3title:"Re-ID",mod3desc:"Tracking the same person across multiple cameras.",mod4title:"Intruders",mod4desc:"Secure perimeter invasion.",mod5title:"Abandoned Object",mod5desc:"Detection of suspicious bags or packages.",mod6title:"Crowd Anomaly",mod6desc:"Panic, rush or sudden crowd gathering.",mod7title:"Masked Persons",mod7desc:"Facial concealment in risk areas.",mod8title:"Custom Algorithms",mod8desc:"Create new detections via prompt.",d2dTag:"Inter-agency Network",d2dTitle:"Perceptrum Corporate-to-Corporate Network",d2dDesc:"Distinct government agencies (Military Police, Civil Police, Federal Police) operate their own Perceptrum Corporate instances. The magic happens in the autonomous interconnection. When Agency A searches for a suspect, the request automatically propagates to Agencies B, C and D. No bureaucracy, no phone calls, no lost time.",d2dAgency1:"Agency A",d2dAgency2:"Agency B",d2dAgency3:"Agency C",d2dSub:"The net closes in an instant — without bureaucracy or phone calls.",scopeTag:"Full Scope Integration",scopeTitle:"Total Scope Integration",scopeDesc:"Intelligence does not stop at city limits. The ecosystem extends to highways and authorized private domains.",scope1tag:"Road Integration",scope1desc:"Direct connection to the road network (DMV, PRF, DER, DNIT). When a target tracked in the urban area enter

12s a highway, the monitoring transition is seamless.",scope1b1:"Automatic Handoff Urban ↔ Highway",scope1b2:"Toll and Intersection Monitoring",scope1b3:"Border Evasion Alert",scope2tag:"Private Integration",scope2desc:"Citizens, condominiums and businesses participate voluntarily. The central system receives target matches in private areas without ever accessing the original video (Privacy by Design).",scope2b1:"Decentralized Voluntary Participation",scope2b2:"Privacy Protection (Blind-Match)",scope2b3:"Sensor Multiplication at No State Cost",nlpTag:"Natural Language",nlpTitle:"Operation via Natural Language",nlpDesc:"No code required. Your operators configure complex analytical tasks by writing in plain language.",nlp1:"Monitor all cameras in the southern sector.",nlp2:"If a man in a red shirt is detected running...",nlp3:"Forward token to cameras at city exits.",nlp4:"# Job structured. Orchestration active.",techTag:"Technical Specifications",techTitle:"Technical Specifications",tech1title:"Hardware Agnostic",tech1desc:"Compatible with RTSP, ONVIF, HTTP, NVRs from any brand.",tech2title:"Flexible Deployment",tech2desc:"Runs On-Premise, Hybrid Cloud or Sovereign Cloud.",tech3title:"Extreme Efficiency",tech3desc:"Can operate without dedicated GPUs per 

12camera.",tech4title:"Compliance",tech4desc:"Fully compliant with LGPD.",ecoTag:"National Ecosystem",ecoTitle:"The National Ecosystem",ecoDesc:"Three complementary products forming an unbreakable intelligence mesh, under the Aiquimist.ai banner.",eco1desc:"Government Core (CCOs, Police Forces)",eco2desc:"Road Network (DMV, Highways)",eco3desc:"Private Sector (Commerce, Residents)",ctaTitle:"Assume Absolute Control.",ctaSub:"Available exclusively for State Governments, Federal Government, Municipalities, DMV, PRF, DER and DNIT. Request a technical demonstration.",ctaNote:"Demo credentials are subject to institutional affiliation verification.",ctaBtn:"Request Restricted Access",ctaBtnBack:"Back to Perceptrum Corporate"},dN={heroTag:"Federated Intelligence Network",heroTitle1:"No one can hide",heroTitle2:"from the network.",heroSub:"Perceptrum connects every camera, every user, every city into a single cooperative intelligence fabric. When someone triggers a search, the signal propagates autonomously — across neighborhoods, cities, states, and countries.",heroCta1:"Request Access",heroCta2:"See How It Works",statLabel1:"Participants",statLabel2:"Scale",statLabel3:"Operation",statVal1:"Any",statVal2:"Global",statVal3:"24/7",whatTag:"Federated Architecture",whatTitle:"One search. Infinite eyes.",whatDesc:"Every Perceptrum installation can be authorized to participate in searches initiated by other Perceptrum, Perceptrum Corporate or F.A.S.T.-AI systems. No video is ever shared. No stream is ever opened. Only match results — confirmed detections — are transmitted. The owner keeps complete control.",howTag:"How it works",howTitle:"Autonomous Cooperative Search",step1title:"Target Registered",step1desc:"A face, a vehicle, a silhouette, a color pattern. The target is registered once in the originating system.",step2title:"Search Propagates",step2desc:"The search signal spreads automatically to all authorized nodes — neighboring Perceptrums, Perceptrum Corporate cameras, FAST-AI highway monitors.",step3title:"Match Found",step3desc:"When any authorized system detects the target, it sends only the confirmation — not the video — back to the originating system.",step4title:"Location Pinpointed",step4desc:"The originating system receives the confirmed location in real time. Autonomous. No human required at any step.",scaleTag:"Any Scale",scaleTitle:"From one block to the entire country.",scaleDesc:"A search can be constrained to a neighborhood, expanded to a city, escalated to a state, or unleashed across an entire nation — depending on who authorized the search and at what scope.",scale1:"Neighborhood",scale1desc:"Cameras from nearby apartments, shops, condos",scale2:"City",scale2desc:"All urban Perceptrum + Perceptrum Corporate nodes",scale3:"State",scale3desc:"All municipal networks interconnected",scale4:"Country",scale4desc:"Full national coverage — every authorized system",permTag:"User Sovereignty",permTitle:"You decide who can search in your cameras.",permDesc:"No streaming. No video access. You choose exactly which external systems can query your cameras. Searches are executed locally by your own AI. Only confirmed matches are shared.",perm1:"You authorize specific systems or institutions",perm2:"Your video never leaves your premises",perm3:"Your AI executes the search locally",perm4:"Only binary match results are transmitted",perm5:"Authorization can be revoked at any time",perm6:"Full audit log of every query performed",mapTag:"Live Coverage",mapTitle:"The search spreads like a signal.",mapDesc:"See how a single alert — one missing child, one fugitive, one stolen vehicle — propagates across the network. Every authorized node becomes part of the search. The coverage area expands in real time.",netTag:"Ecosystem",netTitle:"Three systems. One intelligence.",netDesc:"Perceptrum Personal, Perceptrum Corporate and F.A.S.T.-AI are designed to interoperate. A search can originate in any of the three and propagate across all three simultaneously.",netP2P:"Perceptrum-to-Perceptrum",netP2D:"Perceptrum-to-Perceptrum Corporate",netP2F:"Perceptrum-to-FAST-AI",netD2P:"Perceptrum Corporate-to-Perceptrum",netF2P:"FAST-AI-to-Perceptrum",ucTag:"Use Cases",ucTitle:"Every search matters.",uc1title:"Missing Persons",uc1desc:"A child disappears. The family registers the face. In minutes, every authorized camera in the city is looking. If the child appears anywhere, the system confirms it instantly — without human intervention.",uc2title:"Kidnapping",uc2desc:"A kidnapping alert is issued. The vehicle plate and description propagate across the network. Urban Perceptrum cameras and FAST-AI highway monitors collaborate autonomously to track the vehicle.",uc3title:"Fugitives",uc3desc:"A criminal on the run. The face is in the watchlist. Every participating system searches silently. The moment the fugitive appears in front of any camera, the alert fires.",uc4title:"Stolen Vehicles",uc4desc:"Plate registered. Search propagates. The vehicle cannot change routes without passing through an authorized camera. Detection is inevitable.",techTag:"Architecture",techTitle:"Built for Privacy. Built for Scale.",tech1title:"Blind-Match Protocol",tech1desc:"Search queries never reveal sensitive data. Only match/no-match results are transmitted between systems.",tech2title:"Zero Video Sharing",tech2desc:"No raw video, no stream, no image is ever transmitted outside your system.",tech3title:"Federated Execution",tech3desc:"Each node runs the search locally. The network only transmits results.",tech4title:"Revocable Authorization",tech4desc:"Any authorization can be instantly revoked. You stay in full control at all times.",ctaTitle:"Join the network. Protect your city.",ctaSub:"Available for residential communities, businesses, municipalities, and law enforcement. Every node you add makes the entire network stronger.",ctaNote:"Enterprise and government plans available. Contact us for integration.",ctaBtn:"Request Access",ctaBtnBack:"Back to Perceptrum",btnBadge:"New",btnLabel:"See the Perceptrum Network →",btnSub:"Federated search · Neighborhood to Country · Total privacy",pf1label:"Search Initiated",pf1desc:"System A registers the target",pf2label:"Propagates to Nodes",pf2desc:"Signal sent to authorized",pf3label:"Local Search",pf3desc:"Each node searches its cameras",pf4label:"Match Returns",pf4desc:"Confirmation only — no video",networkLabel:"PERCEPTRUM NETWORK",networkActive:"ACTIVE SEARCH",simulateBtn:"▶ Simulate Search",simulatingBtn:"● Search Active",coverageNational:"NATIONAL COVERAGE",activeNodes:"active nodes",sp1a:"Apartment cameras",sp1b:"Neighborhood shops",sp1c:"Nearby condos",sp2a:"All Perceptrum in the municipality",sp2b:"City hall Perceptrum Corporate cameras",sp2c:"Monitored intersections",sp3a:"All state municipalities",sp3b:"FAST-AI on state highways",sp3c:"State Perceptrum Corporate network",sp4a:"Entire national Perceptrum network",sp4b:"Federal Perceptrum Corporate",sp4c:"FAST-AI on all highways",sp4d:"Authorized private cameras",authModelLabel:"Authorization Model",authModelTitle:"No streaming. No access. Results only.",authSignal:"SEARCH SIGNAL (no video)",authAuthorized:"✓ AUTHORIZED",authMatchOnly:"MATCH ONLY (no video)",authOrigin:"ORIGIN",authParticipant:"PARTICIPANT"},uN={btnBadge:"Network",btnLabel:"See the FAST-AI Traffic Network →",btnSub:"Traffic cameras · Private + Government · City-wide intelligence",heroTag:"Traffic Intelligence Network",heroTitle1:"Every road. Every vehicle.",heroTitle2:"Zero blind spots.",heroSub:"F.A.S.T.-AI connects its own traffic cameras with millions of private Perceptrum installations and the entire government Perceptrum Corporate network — forming the most powerful traffic intelligence infrastru

12cture ever built.",heroCta1:"Request Access",heroCta2:"See How It Works",statLabel1:"Coverage",statLabel2:"Networks",statLabel3:"Detection",statLabel4:"Operation",statVal1:"Urban + Highways",statVal2:"Public + Private",statVal3:"Sub-second",statVal4:"24/7",whatTag:"Federated Traffic Intelligence",whatTitle:"One alert. Every camera in the city.",whatDesc:"FAST-AI operates on traffic and highway cameras under its direct management — but it can also trigger search signals to any authorized private Perceptrum installation and to government Perceptrum Corporate cameras. A single alert can activate millions of cameras across the entire urban and road network simultaneously.",howTag:"How It Works",howTitle:"Autonomous Distributed Search",step1title:"Event Registered",step1desc:"A traffic incident, a wanted vehicle, a person of interest. The target is registered once in the FAST-AI system — by plate, face, color, model, or any visual characteristic.",step2title:"Signal Propagated",step2desc:"The search signal is dispatched to FAST-AI traffic cameras, then extended to authorized private Perceptrum nodes and government Perceptrum Corporate cameras — all simultaneously.",step3title:"Multi-network Detection",step3desc:"Each node on the network executes the search locally. No video is shared. Only confirmed match results are returned to the origin system.",step4title:"Location Confirmed",step4desc:"The FAST-AI system receives the confirmed location in real time, from any camera on any participating network. Fully autonomous.",reidTag:"Identification Technology",reidTitle:"Beyond plates. Beyond faces.",reidDesc:"FAST-AI combines Re-ID (full-body biometric signature) with Face ID to identify individuals even when they change clothes, wear hats, use glasses, or partially cover their face. For vehicles, the system goes beyond plate, color, model and brand — it identifies by wheel type, tires, body marks, stickers, damage patterns, and any unique visual characteristic.",reid1title:"Re-ID (Full Body)",reid1desc:"Proportions, posture, gait, clothing pattern. The system builds a unique biometric signature for each individual — no face required.",reid2title:"Face ID + Re-ID Combined",reid2desc:"When both methods agree, identification confidence exceeds 99.7%. When conditions are adverse, Re-ID alone still provides reliable matching.",reid3title:"Vehicle: Infinite Attributes",reid3desc:"Plate · Color · Model · Brand · Wheels · Tires · Body damage · Stickers · Any visible feature. The system builds a complete fingerprint of every vehicle.",reid4title:"Object Tracking",reid4desc:"Bags, packages, motorcycles, bicycles — any object that moves can be tracked end-to-end across the entire network.",scaleTag:"Any Scale",scaleTitle:"From a street corner to the entire country.",scaleDesc:"A FAST-AI search can be limited to a single intersection, expanded to an entire city, escalated to a state highway network, or activated nationwide — across all traffic, private and government cameras simultaneously.",scale1:"Intersection",scale1desc:"FAST-AI cameras at the specific location",scale2:"City",scale2desc:"All FAST-AI + private Perceptrum urban nodes",scale3:"State",scale3desc:"Highway network FAST-AI + state Perceptrum Corporate cameras",scale4:"Country",scale4desc:"Full national coverage — every authorized system",netTag:"The Ecosystem",netTitle:"Three networks. One intelligence.",netDesc:"FAST-AI, Perceptrum and Perceptrum Corporate are designed to interoperate. A traffic alert from FAST-AI can instantly reach millions of private cameras (Perceptrum) and the entire government camera infrastructure (Perceptrum Corporate), forming an unprecedented surveillance coalition.",netF2P:"FAST-AI → Private Perceptrum",netF2D:"FAST-AI → Government Perceptrum Corporate",netP2F:"Perceptrum → FAST-AI",netD2F:"Perceptrum Corporate → FAST-AI",netP2D:"Perceptrum ↔ Perceptrum Corporate",agencyTag:"Traffic Authorities",agencyTitle:"Built for the agencies that protect roads.",agencyDesc:"FAST-AI integrates natively with traffic and road enforcement agencies. Below are examples of partner agencies by country:",agencyBR:"🇧🇷 Brazil",agencyBRlist:["DETRAN – State Traffic Department","DER – State Road Department","DNIT – National Road Infrastru

12cture Department","PRF – Federal Highway Police","PM – Military Police (Road Patrol)"],agencyUS:"🇺🇸 United States",agencyUSlist:["NHTSA – National Highway Traffic Safety Administration","State DOT – Departments of Transportation","Highway Patrol / State Police","FMCSA – Federal Motor Carrier Safety Administration"],agencyEU:"🇪🇺 Europe",agencyEUlist:["Polícia de Segurança Pública (Portugal)","Gendarmerie Nationale (France)","Bundespolizei / ADAC (Germany)","Guardia Civil de Tráfico (Spain)","Polizia Stradale (Italy)"],agencyOther:"🌍 Other Countries",agencyOtherlist:["Road Safety Corps (Nigeria)","Traffic Police Directorate (UAE)","Central Road Research Institute (India)","National Police Agency – Traffic Bureau (Japan)"],ucTag:"Use Cases",ucTitle:"Every alert on the road matters.",uc1title:"Wanted Vehicles",uc1desc:"A stolen vehicle or a plate flagged in a warrant. The plate is registered once. The search propagates instantly across all traffic cameras, private Perceptrums and Perceptrum Corporate nodes. Interception is inevitable.",uc2title:"Traffic Fugitives",uc2desc:"A vehicle flees from a checkpoint. The pursuit is tracked in real time — not just on the highway, but on every street, avenue and side road covered by the network.",uc3title:"Missing Persons on Roads",uc3desc:"An Amber Alert on a highway. The individual's face and clothing are registered. Every FAST-AI camera, every private Perceptrum and every Perceptrum Corporate terminal executes the search simultaneously.",uc4title:"Urban Ordering",uc4desc:"Irregular parking, unauthorized vehicles in restricted zones, illegal use of bus lanes. The system detects automatically and generates alerts without human operators.",uc5title:"Traffic Incident Response",uc5desc:"A major accident on a highway. FAST-AI automatically detects the incident, notifies emergency services, records all vehicles involved and reconstructs the entire sequence of events.",techTag:"Architecture",techTitle:"Built for roads. Built for scale.",tech1title:"Blind-Match Protocol",tech1desc:"Search queries never expose sensitive data. Only match / no-match results are transmitted between networks.",tech2title:"Zero Video Sharing",tech2desc:"No raw video, no stream, no image leaves the originating system. Only confirmed detections are shared.",tech3title:"Federated Execution",tech3desc:"Each node executes the search locally. The network transmits only results.",tech4title:"Revocable Authorization",tech4desc:"Any private Perceptrum or government Perceptrum Corporate node can leave the search network at any time.",ctaTitle:"Connect your city to the network.",ctaSub:"Available for traffic departments, highway patrols, state secretariats and municipalities. Every camera you add extends coverage for the entire region.",ctaNote:"Integration with DETRAN, PRF, DER and equivalent agencies in other countries. Contact us.",ctaBtn:"Request Access",ctaBtnBack:"Back to F.A.S.T.-AI",sf1sub:"FAST-AI origin",sf2sub:"Perceptrum + Perceptrum Corporate",sf3sub:"Local execution",sf4sub:"No video shared",reidPersonLabel:"RE-ID · Person",reidVehicleLabel:"VEHICLE · Full Fingerprint",reidBioNote:"Biometric signature built without face required",reidVisNote:"Identified by any visible characteristic",simulateAlert:"▶ Simulate Alert",ecoAlert:"A single FAST-AI alert can instantly reach millions of cameras across private and government networks — all executing locally, none sharing raw video."},mN=JSON.parse('{"navLabel":"PERCEPTRUM INTELLIGENCE","tag":"AUDIO INTELLIGENCE SYSTEM","heroTitle":"PERCEPTRUM","heroTitleAccent":"INTELLIGENCE","heroSub":"AI-powered audio intelligence and assisted transcription for public security, prison intelligence, and criminal investigation.","heroBadge":"WINDOWS 11 · DESKTOP APP · BY AIQUIMIST.AI","stat1val":"N","stat1label":"Unlimited Speakers","stat2val":"27","stat2label":"Brazilian States (UF)","stat3val":"100%","stat3label":"Digital Signature","stat4val":"$2.6K","stat4label":"Per unit / month","overviewTag":"EXECUTIVE OVERVIEW","overviewTitle":"From Raw Audio to Signed Report — Fully Automated","overviewP1":"Perceptrum Intelligence is a specialized desktop solution for audio intelligence activities, designed to operate in public security, prison intelligence, and criminal investigation environments.","overviewP2":"The system executes, in an integrated and automated manner, the complete audio processing cycle: from raw file capture to standardized document generation, with speaker identification, keyword detection, AI-assisted analysis, and chain of custody documentation.","overviewCard1Tag":"ZERO SERVER INFRASTRUCTURE","overviewCard1Text":"Embedded local database distributed with the installer — no database server required. 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12icles":"Other Articles","seeAll":"See all","backToBlog":"Back to Blog","shareLabel":"Share:","copyLink":"Copy link","wantToSee":"Want to see in practice?","scheduleDemo":"Schedule a demonstration and see how AI transforms your security operation.","requestDemoBtn":"Request Demo","ourProducts":"Our products","categories":{"ia-seguranca":"AI & Public Safety","smart-cities":"Smart Cities","tecnologia":"Technology & AI","casos-de-uso":"Use Cases","all":"All"},"posts":{"ia-transformando-seguranca-publica-brasil":{"title":"How Artificial Intelligence Is Transforming Public Safety in Brazil","excerpt":"From pattern recognition to real-time crime prevention: understand how AI platforms are redefining the role of surveillance cameras in Brazilian cities.","tags":["artificial intelligence","public safety","smart cameras","crime prevention"],"content":[{"type":"paragraph","text":"Brazil faces one of the greatest public safety challenges in the world. With more than 40,000 homicides per year and a surveillance camera density growing at double-digit rates, Brazilian cities accumulate petabytes of video footage that is rarely analyzed in real time. Artificial intelligence is changing that radically."},{"type":"heading","text":"The Problem of Blind Cameras"},{"type":"paragraph","text":"For decades, security cameras were treated as passive tools: they recorded everything, but only served investigations after a crime had already occurred. A human operator can effectively monitor, at most, between 4 and 8 screens simultaneously. In a city with 10,000 cameras, that means more than 99% of footage is never actually watched."},{"type":"paragraph","text":"Modern AI platforms for public safety completely change that equation. Instead of requiring humans to passively observe, the system analyzes all feeds simultaneously, 24 hours a day, identifying risk situations before they turn into crimes."},{"type":"heading","text":"What AI Can Detect"},{"type":"paragraph","text":"The capabilities of current computer vision platforms for public safety go far beyond simple facial recognition. Among the most relevant detections for the Brazilian context:"},{"type":"list","items":["Atypical gatherings in public spaces — an early indicator of confrontations or disturbances","Abandoned object behavior — detection of suspects leaving backpacks, bags, or packages","Perimeter and restricted zone monitoring with automatic intrusion alerts","Identification of vehicles with license plates on watch lists or search warrants","Pedestrian flow analysis to identify panic or flight situations","Detection of weapons and sharp objects in camera feeds","Recognition of people in vulnerable situations (falls, fainting, assaults)"]},{"type":"callout","text":"Platforms like Perceptrum Corporate combine more than 40 layered AI models, enabling detection of risk situations with accuracy above 95% and latency under 200 milliseconds."},{"type":"heading","text":"From Reactivity to Predictive Prevention"},{"type":"paragraph","text":"The most significant advancement is not real-time detection — it is predictive capability. Algorithms trained on historical crime data can identify patterns that precede crimes: peak incident times by neighborhood, recurring suspect behaviors, correlations between events (such as concerts and territorial disputes) and robberies."},{"type":"paragraph","text":"This allows public safety agencies to reposition patrol vehicles and officers preventively, before emergency calls come in. Studies in cities across the US and Europe that have adopted predictive surveillance report reductions of 15% to 30% in certain types of crime."},{"type":"heading","text":"Integration with Operations Centers (COPs and CIOPs)"},{"type":"paragraph","text":"One of the major bottlenecks in Brazilian public safety is communication between different agencies — Military Police, Civil Police, Municipal Guard, Fire Department, SAMU. Modern AI platforms integrate natively with dispatch systems, CAD (Computer-Aided Dispatch), and digital radios, creating a unified information flow."},{"type":"paragraph","text":"When a system detects a risk situation, it automatically creates an incident, attaches the relevant video clip, geolocates the occurrence on the operations center map, and suggests the nearest available resources for response — all within seconds."},{"type":"heading","text":"Privacy, LGPD, and the Ethical Debate"},{"type":"paragraph","text":"The deployment of AI in public surveillance raises legitimate questions about privacy and civil rights. In Brazil, the LGPD (General Data Protection Law) and resolutions from the CNJ establish guidelines for the use of facial recognition in public spaces. Responsible platforms operate with biometric data encryption, access audits, documented legal bases, and the ability to delete records upon request."},{"type":"paragraph","text":"The debate is not about whether to use AI in public safety, but how to do so with responsibility, transparency, and proper governance. Cities that have implemented rigorous compliance frameworks are able to capture the benefits of technology while maintaining public trust."},{"type":"heading","text":"The Path Forward for Brazilian Cities"},{"type":"paragraph","text":"The adoption journey for Brazilian municipalities generally follows three phases: (1) integrating existing cameras into a centralized platform with AI analysis, with no hardware replacement required; (2) training monitoring teams and fine-tuning AI models to local specifics; and (3) expanding to integration with other urban systems such as traffic lights, alarms, and police radio."},{"type":"callout","text":"The return on investment in AI platforms for public safety is measurable: reduction in human monitoring overtime hours, an increase in crime resolution rates (through access to higher-quality evidence), and a decrease in incident response times."}]},"cidades-inteligentes-ia-transformacao-urbana":{"title":"Smart Cities: What They Are and How AI Accelerates This Transformation","excerpt":"Smart cities aren't just about technology — they represent a new philosophy of urban management. Understand the pillars, the challenges, and how AI connects infrastru

12cture, data, and citizens in an intelligent network.","tags":["smart cities","cidades inteligentes","urban management","AI","infrastructure"],"content":[{"type":"paragraph","text":"More than 55% of the world's population lives in cities — and that number will reach 70% by 2050. In Brazil, urbanization already exceeds 87%. Cities that fail to evolve their intelligent management capabilities will face growing crises in mobility, security, the environment, and public services. It is in this context that the Smart City concept has moved from technological utopia to strategic necessity."},{"type":"heading","text":"What Makes a City Smart?"},{"type":"paragraph","text":"A smart city is not defined by the number of cameras or sensors it has — but by its ability to transform data into faster and better decisions. The six fundamental pillars of a smart city are: smart governance, smart mobility, smart environment, smart economy, smart people, and smart housing."},{"type":"paragraph","text":"The common denominator across all these pillars is the collection, analysis, and real-time use of data to optimize urban operations. And this is where artificial intelligence enters as the central enabling element."},{"type":"heading","text":"The Role of AI in Urban Infrastructure"},{"type":"paragraph","text":"AI is not just another technology layer — it is the nervous system that makes sense of the vast amounts of data that the modern city produces. Traffic sensors, surveillance cameras, energy consumption meters, weather stations, fleet GPS systems, and municipal apps generate data volumes that are impossible to analyze manually."},{"type":"list","items":["Adaptive traffic management: traffic lights that adjust their cycles in real time based on vehicle flow","Early flood risk detection: analysis of rainfall data, river levels, and flooding history","Waste collection optimization: dynamic routes based on dumpster-level sensors","Smart public lighting: automatic intensity adjustment based on pedestrian presence and ambient light levels","Air quality monitoring and alerts for at-risk groups","Predictive infrastru

12cture maintenance: bridges, pavements, and water networks"]},{"type":"heading","text":"The Concept of the Federated City"},{"type":"paragraph","text":"One of the greatest challenges facing smart cities is fragmentation: each municipal department buys its own system, creates its own data silo, and fails to communicate with the others. The result is a city with a lot of technology but very little integrated intelligence."},{"type":"paragraph","text":"The federated city concept solves this problem with an architecture that allows different systems — public safety cameras, traffic sensors, SAMU data, fire department information — to share a centralized analytics layer while maintaining the autonomy of each department."},{"type":"callout","text":"Federated platforms like F.A.S.T.-AI allow municipalities to start with the systems they already have and progressively integrate new data sources, without complex migrations or replacement of existing infrastructure."},{"type":"heading","text":"The Case for Smart Cameras in Urban Management"},{"type":"paragraph","text":"Cameras already exist in large numbers across Brazilian cities — the problem is that they are used primarily as post-incident historical archives. When integrated with AI platforms, those same cameras begin to function as multifunctional sensors: counting vehicles, identifying types of incidents, measuring pedestrian flow, detecting emergency situations, and feeding real-time management dashboards."},{"type":"paragraph","text":"A camera integrated with an AI platform can replace multiple dedicated sensors, reducing the city's total instrumentation cost while delivering far greater operational value."},{"type":"heading","text":"Real Implementation Challenges in Brazil"},{"type":"paragraph","text":"The reality of Brazilian municipalities has unique characteristics that smart city projects must respect: limited budgets and annual budget cycles that hinder long-term investments; fiber connectivity concentrated in state capitals and absent in mid-sized cities; technical capacity limitations within municipal teams; and an evolving regulatory framework, especially regarding the use of biometrics in public spaces."},{"type":"list","items":["Start with what you have: integrate existing cameras and sensors before purchasing additional hardware","Prioritize use cases with measurable ROI and short timelines (security, traffic)","Establish clear data governance from the outset — who accesses what and for what purpose","Invest in team training: technology only works if there are people capable of interpreting it","Choose platforms with open architecture to avoid vendor lock-in"]},{"type":"heading","text":"The Future: Cities That Learn"},{"type":"paragraph","text":"The next frontier for smart cities is not just collecting and analyzing data — it is continuous learning. AI systems that incorporate operational feedback become progressively more accurate and adapted to the specific characteristics of each city. A platform deployed in Manaus will develop, over time, models calibrated to the Amazon's climatic conditions, local crime patterns, and the region's specific traffic behavior."},{"type":"quote","text":"The smart city is not a product you buy — it is a capability you build, data by data, incident by incident, over time.","source":"F.A.S.T.-AI design principle"}]},"visao-computacional-cameras-inteligentes":{"title":"Computer Vision: The Technology Behind Cameras That Think","excerpt":"How deep learning algorithms transform pixels into meaning — and why that changes everything for security and urban management.","tags":["computer vision","deep learning","computer vision","neural networks","AI cameras"],"content":[{"type":"paragraph","text":"A camera captures light and converts it into pixels. For decades, that was all cameras did. Computer vision changes that reality: today, deep learning algorithms can extract meaning from images with accuracy equal to or greater than the human eye — and at speeds no human could match."},{"type":"heading","text":"What Is Computer Vision?"},{"type":"paragraph","text":"Computer vision (CV) is the field of artificial intelligence dedicated to making machines 'see' and interpret images and videos. It's not just about recognizing objects — it's about understanding context, spatial relationships, movement, behavior, and, increasingly, intent."},{"type":"paragraph","text":"The convolutional neural network (CNN) revolution that began in 2012 transformed computer vision from an experimental field into production-ready technology. Today, models like YOLO, ResNet, and Vision Transformers (ViTs) can identify hundreds of objects and situations in real time on commodity hardware."},{"type":"heading","text":"The Five Layers of AI Visual Perception"},{"type":"list","items":["Object detection: identifies and locates elements in an image (people, vehicles, weapons, abandoned objects)","Classification: categorizes what was detected (car vs. motorcycle, man vs. woman, running vs. walking)","Tracking: follows an object or person over time, even if they leave and return to the field of view","Pose and behavior analysis: interprets body postures and movement patterns (aggression, falls, suspicious hesitation)","Identity recognition: links a face or silhouette to a specific identity in a database"]},{"type":"heading","text":"How It Works in Practice: Edge vs. Cloud"},{"type":"paragraph","text":"A computer vision system for security can process data in two ways: at the edge (edge computing), where analysis happens directly on the camera or on a nearby local server, and in the cloud, where data is sent for centralized processing. Modern solutions use a hybrid architecture: simpler analyses at the edge (motion detection, people counting) and complex analyses in the cloud (facial recognition, behavioral analysis)."},{"type":"callout","text":"Systems like Perceptrum Corporate operate with latency under 200ms from the moment of detection to the alert at the operations center — critical in situations where seconds make a difference."},{"type":"heading","text":"AI Models for Security: Training and Calibration"},{"type":"paragraph","text":"A generic computer vision model performs well under lab conditions. In the real world of urban security, performance depends critically on training with data from the actual use context. A model trained on images from European street cameras may struggle with the lighting conditions and urban density found in Brazilian cities."},{"type":"paragraph","text":"That's why serious urban security platforms include a continuous calibration process: the system learns from local data, reduces false positives over time, and adapts its detection thresholds to the specific characteristics of the monitored environment."},{"type":"heading","text":"Limitations Every Manager Should Know"},{"type":"paragraph","text":"No technology is perfect, and honesty about limitations is crucial for setting the right expectations:"},{"type":"list","items":["Low-light conditions still reduce accuracy, especially for facial recognition","Low-resolution cameras (below 2MP) limit the ability to detect fine details","Occlusion (when one object partially covers another) is a challenge for all current models","Very crowded environments (such as subway stations during rush hour) increase the false positive rate","No system should completely replace human judgment — AI is a decision-support tool"]},{"type":"heading","text":"What Comes Next"},{"type":"paragraph","text":"The frontiers of computer vision are expanding rapidly. Multimodal models, which combine vision with natural language, allow operators to ask questions in plain English and receive answers from the camera system ('Show me all incidents involving red vehicles on this camera in the last 2 hours'). The convergence of language AI and vision promises to transform urban monitoring once again — this time, making access to camera intelligence as simple as a conversation."}]},"lgpd-vigilancia-urbana-municipios-brasileiros":{"title":"LGPD and Urban Surveillance: What Brazilian Municipalities Need to Know","excerpt":"Is the use of smart cameras and facial recognition in public spaces legal in Brazil? What are the obligations of municipalities? A practical guide on compliance and privacy.","tags":["LGPD","privacy","facial recognition","compliance","digital law","municipalities"],"content":[{"type":"paragraph","text":"The General Data Protection Law (LGPD — Law 13.709/2018) came into effect in 2020 and established a new regulatory framework for the processing of personal data in Brazil. For municipalities that operate or intend to operate surveillance systems with smart cameras, understanding the implications of LGPD is not optional — it is a prerequisite for the responsible and legally sound deployment of these technologies."},{"type":"heading","text":"Biometric Data is Sensitive Data"},{"type":"paragraph","text":"LGPD classifies biometric data — including facial images used for identification — as sensitive personal data. This means that processing such data requires a specific legal basis and additional protection obligations. For municipalities, the most relevant legal bases are: (a) compliance with a legal or regulatory obligation by the controller; (b) regular exercise of rights; and (c) protection of the life or physical safety of the data subject or a third party."},{"type":"callout","text":"The mere fact that a municipality operates cameras in public spaces already constitutes it as a personal data controller under LGPD, even if facial recognition is not used."},{"type":"heading","text":"Practical Obligations for Municipalities"},{"type":"list","items":["Appoint a Data Protection Officer (DPO) responsible for the privacy program","Develop and publish a privacy policy specific to the surveillance systems","Conduct a Data Protection Impact Assessment (DPIA) before implementing facial recognition systems","Establish video retention periods and ensure automatic deletion upon expiration","Implement access controls to ensure that only authorized personnel can access images and data","Maintain up-to-date records of data processing activities","N

12otify ANPD and data subjects in the event of a security incident that may cause harm"]},{"type":"heading","text":"Facial Recognition in Public Spaces"},{"type":"paragraph","text":"The use of real-time facial recognition in public spaces is the most sensitive issue and still the most debated in Brazil. In 2022, the São Paulo Court of Justice suspended a facial recognition system in the São Paulo Metro for violating LGPD. STJ and CNJ also issue periodic guidance on the subject."},{"type":"paragraph","text":"Its use for public safety purposes — such as searching for fugitives — is supported by security legislation, but requires rigorous process documentation, human oversight of decisions, and cannot be used in a discriminatory manner. Passive mass biometrics (identifying every person who passes in front of a camera) is the modality with the greatest legal risk."},{"type":"heading","text":"Best Practices That Reduce Legal Risk"},{"type":"list","items":["Clear signage in monitored areas informing the public about the use of AI-powered cameras","Use of facial recognition only pursuant to a warrant or explicit court order","Data segregation: footage from standard cameras vs. biometric data processed separately","Periodic external audits of the system and its access logs","Training of operational teams on legal limitations and responsibilities","Vendor contracts that include joint liability clauses"]},{"type":"heading","text":"The Role of the Technology Vendor"},{"type":"paragraph","text":"When contracting an AI-powered surveillance platform, the municipality assumes responsibility as the data controller. The technology vendor acts as the data processor. This means that the supply contract must include specific data protection obligations: the vendor may only process data for the contracted purposes, must implement technical security measures, and must cooperate with audits and incident notifications."},{"type":"paragraph","text":"Responsible vendors offer contracts with clear DPA (Data Processing Agreement) clauses, technical documentation on the security measures implemented, and the ability to demonstrate compliance to ANPD when required."},{"type":"heading","text":"LGPD as an Opportunity, Not an Obstacle"},{"type":"paragraph","text":"Municipalities that view LGPD as an enemy of public safety have the wrong perspective. Compliance with data protection law is precisely what enables the building of public trust in surveillance technologies — trust that is fundamental to the political and operational success of these projects. Cities that deploy smart cameras with transparency, clear boundaries, and visible governance earn far greater cooperation from residents than those that operate in opacity."}]},"analise-comportamental-ia-prevencao-crimes":{"title":"Behavioral Analysis by AI: How to Anticipate Risks Before They Become Crimes","excerpt":"The next frontier of public safety goes beyond detecting what is happening — it's predicting what is about to happen. Understand how behavioral analysis by AI works.","tags":["behavioral analysis","crime prevention","predictive AI","machine learning","security"],"content":[{"type":"paragraph","text":"There is a moment, in the seconds before a crime happens, when the situation can still be reversed. A trained security guard knows how to recognize this intuitively — the nervousness of someone about to commit theft, the way someone is looking for a victim in a crowd, the moment a dispute is escalating into physical violence. Behavioral analysis by AI seeks to encode and automate exactly that capability."},{"type":"heading","text":"How AI Learns Behavior"},{"type":"paragraph","text":"Behavioral analysis models are trained on enormous volumes of annotated video: hours of normal situations (people walking, shopping, waiting) and hours of risk situations (thefts, assaults, vandalism). The algorithm learns to distinguish patterns of movement, body posture, speed, direction, and relationships between multiple people that correlate with risky behaviors."},{"type":"callout","text":"Advanced models analyze not only position and movement, but also micro-patterns such as step hesitation, gaze direction estimated from body pose, and approach patterns between individuals."},{"type":"heading","text":"Types of Behavior That Modern Systems Detect"},{"type":"list","items":["Loitering (suspicious wandering): a person circulating in a restricted or sensitive area with no apparent purpose","Tail-gaiting: consistently following someone closely, a pattern associated with harassment and theft","Atypical routing: detecting when someone enters a space through an unusual path, avoiding cameras","Conflict escalation: a sequence of body postures indicating an argument evolving into physical confrontation","Object abandonment behavior: placing something down and moving away quickly","Vulnerability signals: a person who appears disoriented, dizzy, or in physical distress","Group formation: rapid clustering of people in a pattern inconsistent with the environment (concert vs. fight)"]},{"type":"heading","text":"The Problem of False Positives"},{"type":"paragraph","text":"The biggest challenge in behavioral analysis is not detection — it's specificity. A highly sensitive system generates so many alerts that operators start ignoring them (the well-known 'Boy Who Cried Wolf' effect). A very conservative system misses real risk situations. The right balance depends on the environment: a subway station during rush hour requires different thresholds than a museum at night."},{"type":"paragraph","text":"Mature platforms allow granular sensitivity adjustments per camera, time of day, and event type, with continuous learning based on operator feedback. When an operator flags an alert as a false positive, the system learns from that example and progressively improves."},{"type":"heading","text":"Integration with Field Resources"},{"type":"paragraph","text":"Behavioral analysis in isolation has limited value. The real differentiator comes from integration: when the system detects a risk pattern, it needs to trigger the right human resource, in the right way, at the right speed. This includes direct alerts to field agents' radios, automatic dispatch of the nearest units, and automatic incident logging with a video clip and geolocation."},{"type":"heading","text":"Ethical Considerations and Algorithmic Bias"},{"type":"paragraph","text":"Behavioral analysis raises serious ethical questions. The risk of algorithmic bias is real: if the training data reflects historical policing patterns that were already discriminatory, the model may replicate and amplify those distortions. A system that learns that 'a young person, of a certain race, in a certain 

12neighborhood, at 11 PM' is suspicious may perpetuate systemic discrimination."},{"type":"paragraph","text":"The ethical use of behavioral analysis requires: training datasets audited for representativeness and bias; continuous performance monitoring segmented by demographic groups; mandatory human oversight before any operational action; and transparency about how the system works and is tested."},{"type":"heading","text":"The Future: Multimodal Analysis"},{"type":"paragraph","text":"The next generation of behavioral analysis goes beyond video: integration of audio data (detecting sounds of screams, gunshots, breaking glass), public social media data for event context, cellular telephony patterns in monitored spaces, and historical incident data for predictive calibration. The convergence of these sources promises crime prevention systems that are significantly more accurate and less intrusive than any individual approach."}]},"cameras-tradicionais-agentes-inteligentes-salto-tecnologico":{"title":"From Traditional Cameras to Intelligent Agents: The Technological Leap in Private Security","excerpt":"How condominiums, businesses, and commercial establishments are moving from archive cameras to autonomous monitoring systems that act, alert, and learn.","tags":["private security","condominiums","smart cameras","autonomous monitoring","Perceptrum"],"content":[{"type":"paragraph","text":"Brazil's private security market moves more than R$ 80 billion per year and employs around 1.5 million security guards. The vast majority of installed cameras — estimated at more than 60 million across the country — function as archives: they record everything, but rarely does anyone watch the footage before an incident occurs. This model is reaching its limit."},{"type":"heading","text":"The Old Model: Cameras as Archives"},{"type":"paragraph","text":"The traditional operation of a CFTV (Closed-Circuit Television) system is straightforward: cameras record on a loop, footage is stored for 30 to 90 days, and in the event of an incident, the recording is reviewed retroactively. The presence of a human guard in front of the monitors adds some real-time response capability, but it is limited by human attention and labor costs."},{"type":"paragraph","text":"This model comes with rising costs (guard salaries, camera maintenance, storage) and declining effectiveness (guards spending hours monitoring cameras experience rapidly degrading attention). The result is what researchers call 'illusory security': the appearance of protection without the substance."},{"type":"heading","text":"The New Model: Autonomous Surveillance Agents"},{"type":"paragraph","text":"AI-powered security platforms transform existing cameras into autonomous surveillance agents. Instead of a passive camera, the system now has an active camera: it detects, classifies, tracks, alerts, and logs — automatically, without constant human intervention."},{"type":"callout","text":"With platforms like Perceptrum, a single operator can manage hundreds of cameras with greater effectiveness than a team of human guards monitoring dozens — at a much lower operational cost."},{"type":"heading","text":"Use Cases in Private Security"},{"type":"list","items":["Residential condominiums: perimeter intrusion detection, recognition of authorized residents and visitors, unknown vehicle alerts","Commercial establishments: theft detection (product-concealing behavior), suspicious crowd alerts, monitoring of checkouts and storage areas","Warehouses and distribution centers: recognition-based access control, unauthorized-hours presence detection, asset monitoring","Hospitals and clinics: detection of patients in risk situations (falls, seizures), access control to restricted areas","Banks and branches: suspicious behavior detection in queues, vault and terminal monitoring, helmet and face-obstruction alerts","Schools and universities: prohibited object detection, perimeter monitoring, identification of unauthorized individuals"]},{"type":"heading","text":"The Transition for Small and Medium-Sized Businesses"},{"type":"paragraph","text":"For years, AI for security was accessible only to large corporations with robust IT budgets. The democratization of cloud computing and the falling cost of AI processing changed that. Today, a mid-sized establishment can access analytical capabilities that were once exclusive to major banks or airports, at a monthly cost comparable to a single security guard's salary."},{"type":"paragraph","text":"The SaaS (Software as a Service) model eliminates the need for upfront infrastru

12cture investment: the establishment keeps its existing cameras, installs a software agent, and gains active AI analysis. Physical hardware can be upgraded progressively, prioritizing the highest-risk areas."},{"type":"heading","text":"Concrete ROI: What to Measure"},{"type":"list","items":["Reduction in theft losses: inventory comparison before and after deployment","Reduced human surveillance costs: guard hours replaced by autonomous monitoring","Incident response time: comparison between the manual model and automatic alerts","Incident resolution rate: improvement in the quality of evidence available for investigation","Insurance premiums: insurers offer discounts of 10–25% to establishments with certified intelligent monitoring systems"]},{"type":"paragraph","text":"The transition from passive cameras to intelligent agents is not a matter of if, but when. For establishments that depend on security — and all of them do — the question is what the cost of waiting will be."}]},"reconhecimento-facial-seguranca-publica-etica-tecnologia":{"title":"Facial Recognition in Public Safety: Uses, Limits, and the Ethical Debate in Brazil","excerpt":"Facial recognition is one of the most powerful and controversial technologies in modern security. Understand how it works, where it is effective, and where it meets its legal and ethical limits.","tags":["facial recognition","biometrics","AI ethics","public safety","civil rights"],"content":[{"type":"paragraph","text":"In 2019, the São Paulo Civil Police used facial recognition to identify and arrest a fugitive during Carnival — the first arrest made with this technology in Brazil. Since then, the adoption of facial recognition in public safety has grown rapidly, alongside the debate over its limits and risks. Understanding this technology — what it does well, what it does poorly, and where it should not be used — is essential for public safety managers."},{"type":"heading","text":"How Facial Recognition Works"},{"type":"paragraph","text":"Facial recognition is a subset of computer vision that analyzes unique geometric features of the human face — the distance between the eyes, the shape of the nose, the contour of the jaw — to create a mathematical representation called a facial embedding. This embedding can be compared against other embeddings in a database to determine whether it matches a known identity."},{"type":"paragraph","text":"Modern systems operate in two modes: verification (confirming that a person is who they claim to be, as in access control) and identification (determining who an unknown person is in an image). The second mode — identification — is the most sensitive from a legal and ethical standpoint."},{"type":"heading","text":"Where Facial Recognition Is Effective"},{"type":"list","items":["Fugitive search: comparing camera images against warrant databases — high effectiveness with human oversight","Access control in secure areas: identity verification at specific checkpoints (airports, critical facilities)","Victim identification: recognition in emergency situations or disasters","Post-incident investigation: retrospective search of video archives to identify already-known suspects","Registry deduplication: identifying whether the same person is registered multiple times across public systems"]},{"type":"heading","text":"Where the Limits Are Critical"},{"type":"paragraph","text":"The technical limitations of facial recognition are well documented and have direct implications for its use in public safety. Studies by NIST (the U.S. National Institute of Standards and Technology) show that error rates vary significantly by age group, gender, and especially ethnicity — with false match rates up to 100x higher for Black individuals in some systems."},{"type":"callout","text":"A false positive rate of 0.1% may seem small — but in a city with 1 million cameras and 1 billion analyses per day, it potentially means 1 million incorrect matches."},{"type":"heading","text":"The Brazilian Debate: Between Efficiency and Rights"},{"type":"paragraph","text":"The Brazilian debate over facial recognition in public spaces is far from settled. On one side, law enforcement agencies argue that the technology significantly enhances the capacity to identify criminals and terrorists. On the other, civil rights organizations and technology experts point to the risks of discrimination, wrongful prosecution, and mass surveillance."},{"type":"paragraph","text":"The most legally and ethically defensible position is that of controlled use: facial recognition as an investigative support tool, with results always reviewed by a human before any action is taken, and with a prohibition on its use for mass identification of citizens without individualized suspicion."},{"type":"heading","text":"The Responsible Use Framework"},{"type":"list","items":["Only for serious crimes (an exhaustive list defined by law or decree)","Facial recognition results are investigative leads, never evidence or a sufficient basis for arrest","Mandatory human review by a qualified officer before any action is taken","Detailed logging of every query, including reason, operator, and result","Periodic audits of accuracy and error rates broken down by demographic group","Prohibition on use at political demonstrations, protests, and labor activities","Maximum retention period for collected biometric data"]},{"type":"paragraph","text":"The path forward for facial recognition in Brazilian public safety runs through specific legislation — still absent — that clearly establishes what can and cannot be done, with independent oversight and effective penalties for misuse. Until that regulatory framework exists, public managers who adopt the technology must fill that regulatory void with rigorous internal policies."}]}}}`),gN=JSON.parse(`{"badge":"Technical Glossary","heroTitle1":"AI, Security","heroTitle2":"Smart Cities","heroSubtitle":"Clear technical definitions of the main concepts of artificial intelligence applied to public safety, smart cities, and data protection.","searchPlaceholder":"Search term...","allCategories":"ALL","termsFound":"TERMS FOUND","termFound":"TERM FOUND","clearFilters":"Clear filters","noResults":"No terms found for","clearSearch":"Clear search","categoryLabel":"CATEGORY","relatedTerms":"RELATED TERMS","presentIn":"PRESENT IN","ctaHeading":"See AI applied in practice","ctaSubtitle":"All these concepts are integrated into the AiQuimist.ai platforms. See how they work in the field.","ctaBtn1":"PERCEPTRUM CORPORATE","ctaBtn2":"READ BLOG","termsCount":"terms defined","categoriesLabel":"Categories","updatedYear":"Updated 2025","categories":{"ia-ml":"AI & Machine Learning","visao-computacional":"Computer Vision","seguranca-publica":"Public Safety","smart-cities":"Smart Cities","privacidade-legal":"Privacy & Legal"},"terms":{"agente-de-ia":{"term":"AI Agent","shortDef":"Autonomous system that perceives the environment and makes decisions to achieve goals.","fullDef":"An AI agent is a computational system capable of perceiving its environment through sensors (cameras, microphones, APIs), processing information with artificial intelligence models, and autonomously executing actions to achieve predefined goals. Unlike traditional rule-based algorithms, AI agents adapt their behavior based on continuous learning. In public safety, AI agents monitor camera feeds in real time, detect anomalies, and trigger alerts without constant human intervention.","relatedTerms":["Machine Learning","Real-Time Inference","AI Model"]},"aprendizado-de-maquina":{"term":"Machine Learning","shortDef":"Subfield of AI where systems learn patterns from data without explicit programming.","fullDef":"Machine Learning is a branch of artificial intelligence that enables computers to learn and improve automatically through experience, without being explicitly programmed for each task. Algorithms analyze large volumes of historical data, identify patterns, and build predictive models. In public safety, ML algorithms are trained on thousands of hours of video to recognize suspicious behavior, identify vehicles, detect abnormal gatherings, and anticipate incidents.","relatedTerms":["Deep Learning","Model Training","Neural Network"]},"deep-learning":{"term":"Deep Learning","shortDef":"ML technique using deep neural networks with multiple layers to extract complex representations.","fullDef":"Deep Learning is a subfield of machine learning that uses artificial neural networks with multiple (deep) layers to model complex abstractions in data. Inspired by the structure of the human brain, Deep Learning has revolutionized tasks such as image recognition, natural language processing, and object detection. Models such as CNN (Convolutional Neural Networks) and Transformers are the foundation of the leading computer vision solutions applied to public safety.","relatedTerms":["Convolutional Neural Network","Transformer","Machine Learning"]},"modelo-de-ia":{"term":"AI Model","shortDef":"Trained mathematical representation capable of making predictions or classifications on 

12new data.","fullDef":"An AI model is the result of a training process: a mathematical representation learned from data that can be applied to make predictions, classifications, or recommendations on new data. Models can be simple (logistic regression) or extremely complex (neural networks with billions of parameters). In public safety practice, different models are combined — one for object detection, another for tracking, another for behavioral analysis — forming an AI pipeline.","relatedTerms":["Real-Time Inference","Model Training","AI Pipeline"]},"inferencia-em-tempo-real":{"term":"Real-Time Inference","shortDef":"Execution of AI models with minimal latency to process live data.","fullDef":"Real-Time Inference is the ability to run artificial intelligence models with sufficiently low latency to process live data — such as video streams — and produce results in milliseconds. This is what differentiates a post-event video analysis system from an active monitoring system: real-time inference makes it possible to detect a threat and alert operators while the event is still unfolding. It requires specialized hardware (GPUs, NPUs, AI accelerators) and optimized models (quantization, pruning).","relatedTerms":["GPU","Latency","AI Agent"]},"treinamento-de-modelo":{"term":"Model Training","shortDef":"Process of adjusting the parameters of a neural network using labeled data to minimize errors.","fullDef":"Model Training is the process by which a machine learning model learns from data. During training, the algorithm iteratively adjusts its internal parameters (weights) to minimize the difference between its predictions and the correct outcomes (labels). In the context of public safety, training a suspicious behavior detection model requires a corpus of annotated video data — a task that can take months and enormous computational resources, as well as domain-specific expertise.","relatedTerms":["Dataset","Overfitting","Fine-tuning"]},"fine-tuning":{"term":"Fine-tuning","shortDef":"Adapting a pre-trained model for a specific task using domain data.","fullDef":"Fine-tuning is the technique of taking an AI model pre-trained on a large generic dataset and adjusting it with a smaller set of domain-specific data. This drastically reduces development cost and time: instead of training from scratch, the model starts from a broad knowledge base and is specialized for the desired task. In public safety, a computer vision model trained on ImageNet can be fine-tuned with urban security camera data to detect stolen vehicles or specific behaviors.","relatedTerms":["Transfer Learning","Dataset","Model Training"]},"rede-neural-convolucional":{"term":"Convolutional Neural Network (CNN)","shortDef":"Neural network architecture specialized in processing grid-structured data, such as images.","fullDef":"Convolutional Neural Networks (CNN) are a class of deep neural networks particularly effective at processing data with spatial structure, such as images and video. They use convolution operations to hierarchically extract visual features — edges, textures, shapes, complete objects. They are the core technology behind object detection systems (YOLO, SSD, EfficientDet), facial recognition, and video analysis in public safety.","relatedTerms":["Deep Learning","Object Detection","YOLO"]},"llm":{"term":"LLM (Large Language Model)","shortDef":"Large-scale language model capable of understanding and generating text with human-like fluency.","fullDef":"Large Language Models are artificial intelligence models trained on enormous text corpora with billions or trillions of parameters, capable of understanding and generating natural language with high fluency. Examples include GPT-4, Claude, Gemini, and Llama. In public safety, LLMs are used in emergency dispatch assistants, incident report analysis, automatic bulletin summarization, and in the voice component of AI agents such as Perceptrum Intelligence.","relatedTerms":["Perceptrum Intelligence","Natural Language Processing","Transformer"]},"processamento-de-linguagem-natural":{"term":"Natural Language Processing (NLP)","shortDef":"Field of AI that enables machines to understand, interpret, and generate human language.","fullDef":"Natural Language Processing (NLP) is the area of artificial intelligence that deals with the interaction between computers and human language. It encompasses tasks such as sentiment analysis, machine translation, entity extraction, speech recognition, and text generation. In public safety systems, NLP is used to analyze emergency calls, transcribe radio communications, process incident reports, and enable natural language queries against incident databases.","relatedTerms":["LLM","Speech Recognition","Sentiment Analysis"]},"visao-computacional":{"term":"Computer Vision","shortDef":"Field of AI that enables machines to interpret and understand visual information from the real world.","fullDef":"Computer Vision is the interdisciplinary field concerned with how computers can be programmed to interpret and understand the visual content of the real world — digital images, videos, and camera data. It uses image processing algorithms, machine learning, and deep neural networks to perform tasks such as image classification, object detection and tracking, semantic segmentation, and behavior analysis. It is the fundamental technology behind modern smart cameras used in public safety.","relatedTerms":["Object Detection","Facial Recognition","Behavior Analysis"]},"deteccao-de-objetos":{"term":"Object Detection","shortDef":"Computer vision technique that identifies and locates specific objects in images or videos.","fullDef":"Object Detection is a computer vision technique that identifies and locates instances of objects from predefined categories in images or video frames, typically delimiting them with bounding boxes and assigning a label and confidence score. Popular algorithms include YOLO (You Only Look Once), SSD (Single Shot Detector), and Faster R-CNN. In public safety, it is used to detect people, vehicles, weapons, abandoned luggage, and other elements of interest in real time.","relatedTerms":["YOLO","Object Tracking","Segmentation"]},"rastreamento-de-objetos":{"term":"Object Tracking","shortDef":"Ability to follow the trajectory of specific objects across consecutive video frames.","fullDef":"Object Tracking is the task of identifying and following the position and trajectory of one or multiple objects across a sequence of video frames. Algorithms such as SORT, DeepSORT, ByteTrack, and OC-SORT assign persistent identities to each detected object, enabling their movement to be tracked even in cases of partial occlusion or lighting changes. In intelligent surveillance systems, tracking makes it possible to follow a suspect across multiple cameras.","relatedTerms":["Object Detection","Person Re-Identification","Behavior Analysis"]},"reconhecimento-facial":{"term":"Facial Recognition","shortDef":"Biometric technology that identifies or verifies individuals through facial characteristics.","fullDef":"Facial Recognition is a biometric technology that uses computer vision and deep learning algorithms to identify or verify the identity of individuals based on facial features. The process involves detecting the face in the image, extracting features (facial embeddings), and comparing them against a database. In public safety, it is applied to identify people on wanted or missing persons lists. Its use raises important ethical and legal questions, particularly regarding LGPD and algorithmic bias.","relatedTerms":["Biometrics","LGPD","Algorithmic Bias"]},"analise-de-comportamento":{"term":"Behavior Analysis","shortDef":"Automatic interpretation of movement and action patterns of people or vehicles to detect anomalies.","fullDef":"Behavior Analysis (Behavioral Analytics) is the ability of computer vision systems to interpret and classify movement patterns, posture, interaction, and actions of people or vehicles in video scenes. It goes beyond simple object detection: the system understands what is happening — a fight, a fall, someone loitering in a restricted area, a vehicle driving the wrong way. It is based on deep learning models trained on large datasets of video annotated with specific behaviors.","relatedTerms":["Anomaly Detection","Object Tracking","AI Agent"]},"deteccao-de-anomalias":{"term":"Anomaly Detection","shortDef":"Automatic identification of events, patterns, or behaviors that deviate from the normal baseline.","fullDef":"Anomaly Detection is the ability of AI systems to automatically identify events, patterns, or behaviors that deviate significantly from what is considered normal for a given context. In urban monitoring, this includes abnormal crowds, abandoned objects, suspicious movements at unusual hours, perimeter intrusions, and accidents. Anomaly detection can be based on explicit rules, statistical models, or neural networks trained to recognize normal patterns and flag deviations.","relatedTerms":["Behavior Analysis","Virtual Perimeter","Real-Time Alert"]},"re-identificacao-de-pessoa":{"term":"Person Re-Identification (Re-ID)","shortDef":"Recognition of an individual across different cameras or moments without the use of facial recognition.","fullDef":"Person Re-Identification (Re-ID) is the technique that enables associating the same individual in images captured by different cameras, at different times or angles, without necessarily using facial recognition. It uses visual features such as clothing color, texture, posture, and gait to maintain the individual's identity across a camera network. It is essential for tracking across urban spaces with multiple cameras and for post-event investigations.","relatedTerms":["Object Tracking","Facial Recognition","Multi-Camera"]},"segmentacao-de-instancias":{"term":"Instance Segmentation","shortDef":"Technique that precisely identifies and delineates each object in a scene at the pixel level.","fullDef":"Instance Segmentation is an advanced computer vision task that goes beyond object detection: instead of merely delimiting objects with rectangles (bounding boxes), it classifies each pixel in the image and associates pixels with specific object instances. This allows, for example, accurately counting the number of people in a crowd, measuring crowding areas, detecting vehicles with precision under overlapping conditions, and analyzing complex scenes in greater detail.","relatedTerms":["Object Detection","People Counting","Computer Vision"]},"yolo":{"term":"YOLO (You Only Look Once)","shortDef":"Family of real-time object detection architectures recognized for their speed and accuracy.","fullDef":"YOLO (You Only Look Once) is a family of neural network architectures developed for real-time object detection with exceptional speed and accuracy. Unlike earlier approaches that analyzed image regions in multiple steps, YOLO processes the entire image in a single pass through the neural network, making it extremely efficie

12nt. The most recent versions (YOLOv8, YOLOv9, YOLO-World) are widely used in smart camera systems for public safety.","relatedTerms":["Object Detection","Real-Time Inference","Convolutional Neural Network"]},"leitura-de-placa":{"term":"License Plate Recognition (OCR/ALPR)","shortDef":"Automatic recognition of vehicle license plates by cameras using computer vision and OCR.","fullDef":"Automatic License Plate Recognition (ALPR — also known as ANPR in Europe) is the technology that enables smart cameras to automatically detect, locate, and read the license plates of moving vehicles. It is essential for access control, stolen vehicle identification, traffic monitoring, and investigations. Modern systems operate in real time, even with vehicles at high speed, low lighting, and partially obstructed plates.","relatedTerms":["Object Detection","OCR","Traffic Monitoring"]},"cisp":{"term":"CISP (Public Safety Integrated Center)","shortDef":"A centralized structure that integrates multiple public safety agencies through shared technology and data.","fullDef":"CISP (Centro Integrado de Segurança Pública) is an organizational and technological structure that brings together, in a single physical and digital environment, representatives from different public safety agencies — civil police, military police, fire departments, municipal guards, and SAMU — with integrated information systems, centralized monitoring, and coordinated response protocols. With AI, modern CISPs receive feeds from intelligent cameras, urban sensor data, and automatic alerts to increase operational efficiency.","relatedTerms":["Public Safety SOC","Integrated Monitoring","Interoperability"]},"monitoramento-inteligente":{"term":"Intelligent Monitoring","shortDef":"Urban surveillance with automated AI analysis, surpassing the passive model of traditional cameras.","fullDef":"Intelligent Monitoring is the evolution of the traditional CFTV (Closed-Circuit TV) system, where passive cameras are replaced or supplemented by AI agents that analyze feeds in real time. Instead of relying solely on human operators watching multiple monitors, intelligent monitoring automates the detection of events of interest, generates proactive alerts, maintains continuous tracking, and produces automatic reports — allowing operators to focus on analysis and decision-making.","relatedTerms":["CFTV","AI Agent","Virtual Fence","Anomaly Detection"]},"cerca-virtual":{"term":"Virtual Fence (Geofencing)","shortDef":"Definition of geographic zones or video areas that trigger alerts when breached.","fullDef":"Virtual Fence is the concept of defining digital zones — either on a geographic map (geofencing) or directly over a camera feed — that, when crossed by people, vehicles, or objects, trigger automatic alerts. In public safety, virtual fences protect sensitive areas (schools, airports, critical facilities), detect perimeter intrusions, monitor vehicle-restricted zones, and alert about gatherings in prohibited areas. They are configurable by time of day, object type, and crossing direction.","relatedTerms":["Geofencing","Anomaly Detection","Real-Time Alert"]},"policiamento-preditivo":{"term":"Predictive Policing","shortDef":"Use of historical data and AI models to predict locations and time periods with the highest likelihood of crime.","fullDef":"Predictive Policing is the application of data analysis and machine learning algorithms to forecast where and when crimes are most likely to occur, enabling proactive allocation of police resources. The models analyze historical incident records, temporal patterns, socioeconomic data, and geospatial information. While it increases operational efficiency, it raises ethical debates around racial bias, self-fulfilling prophecies, and preemptive surveillance. It requires careful human oversight and algorithmic transparency.","relatedTerms":["Data Analysis","Crime Mapping","AI Ethics"]},"soc-seguranca-publica":{"term":"Public Safety SOC","shortDef":"A 24/7 operational monitoring center that consolidates security data for decision-making.","fullDef":"The Security Operations Center (SOC) in the context of public safety is an operations center that c

12onsolidates monitoring of cameras, sensors, radios, incident data, and real-time intelligence. With AI integration, the SOC receives automatic alerts, visualizes operational situation dashboards, coordinates team dispatch, and maintains an incident history log. It is the working environment for operators who use systems like Perceptrum Corporate to make tactical decisions.","relatedTerms":["CISP","Intelligent Monitoring","Operational Dashboard"]},"biometria":{"term":"Biometrics","shortDef":"Identification of individuals through unique, measurable physical or behavioral characteristics.","fullDef":"Biometrics is the field that studies and applies unique, measurable physical or behavioral characteristics of human beings for identification and authentication. In public safety, the main biometric modalities include facial recognition, fingerprint, iris, palm vein, voice, and gait analysis. Biometric systems must balance accuracy (minimizing false positives and negatives), speed, and compliance with data protection legislation such as LGPD.","relatedTerms":["Facial Recognition","LGPD","Privacy"]},"despacho-inteligente":{"term":"Intelligent Dispatch","shortDef":"Automated allocation of emergency resources based on priority and proximity.","fullDef":"Intelligent Dispatch is the application of optimization algorithms and artificial intelligence to automate and enhance the allocation of emergency resources — patrol vehicles, firefighters, SAMU — based on incident priority, location, estimated response time, and team availability. Integrated with digital radio and GPS systems, intelligent dispatch reduces response time, minimizes human error in high-stress situations, and ensures that the most appropriate resources are sent to each incident.","relatedTerms":["CISP","Perceptrum Intelligence","Interoperability"]},"smart-city":{"term":"Smart City","shortDef":"A city that uses technology and data to improve service efficiency, quality of life, and sustainability.","fullDef":"Smart City is the concept of a city that integrates information and communication technologies (ICTs), the Internet of Things (IoT), big data, and artificial intelligence to optimize urban resource management, improve the quality of public services, increase operational efficiency, and raise citizens' quality of life. In practice, this involves connected sensors, intelligent cameras, adaptive lighting, smart traffic management, environmental monitoring, and integrated data platforms.","relatedTerms":["IoT","Urban Data Platform","Intelligent Monitoring"]},"iot":{"term":"IoT (Internet of Things)","shortDef":"A network of connected physical devices that collect and exchange data over the internet.","fullDef":"Internet of Things (IoT) is the ecosystem of physical devices embedded with sensors, software, and connectivity that enables them to collect, transmit, and receive data via the internet. In smart cities, IoT includes IP cameras, air quality sensors, noise detectors, traffic flow meters, smart streetlights, connected waste bins, and weather stations. All of these devices feed data platforms that inform urban management and public safety decisions.","relatedTerms":["Smart City","Edge Computing","Urban Sensor"]},"edge-computing":{"term":"Edge Computing","shortDef":"Processing data close to its source to reduce latency and bandwidth consumption.","fullDef":"Edge Computing is the computing paradigm that processes data close to its source — on the camera, the sensor, or a local server — rather than sending everything to the cloud. In urban surveillance systems, this means the camera or a local device performs AI inference (detection, behavioral analysis) and only sends relevant alerts and metadata to the cloud, not the full raw video stream. This drastically reduces bandwidth consumption, lowers latency, and improves privacy.","relatedTerms":["IoT","Real-Time Inference","Smart Camera"]},"digital-twin":{"term":"Digital Twin (Digital Twin)","shortDef":"Real-time virtual replica of an asset, system, or city for simulation and monitoring.","fullDef":"Digital Twin is a dynamic, real-time virtual representation of a physical asset, system, or environment — in the case of smart cities, it can be a digital twin of the entire urban fabric, integrating traffic data, cameras, environmental sensors, and utilities. It enables scenario simulations (evacuation, resource allocation during events), predictive analysis of infrastru

12cture failures, and data-driven decision-making without impacting the real system. It is an emerging technology applied to urban planning and emergency management.","relatedTerms":["Smart City","Simulation","IoT"]},"plataforma-de-dados-urbanos":{"term":"Urban Data Platform","shortDef":"Centralized system that aggregates, normalizes, and makes available data from multiple city sources.","fullDef":"An Urban Data Platform is a software system that aggregates, integrates, normalizes, and makes available data from various urban infrastructure sources — cameras, IoT sensors, transportation systems, ombudsman offices, health records, meteorological data — in a single interface. It enables cross-analysis, creation of management dashboards, APIs for third-party applications, and informed decision-making for municipal managers. 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For public surveillance systems using AI — facial recognition, behavioral analysis — LGPD imposes specific obligations regarding legal basis, data minimization, DPIA (impact assessment), and data subject rights.","relatedTerms":["GDPR","Privacy by Design","ANPD","Facial Recognition"]},"gdpr":{"term":"GDPR (General Data Protection Regulation)","shortDef":"European data protection regulation that sets global privacy standards.","fullDef":"The GDPR (General Data Protection Regulation) is the European Union regulation (Regulation 2016/679) that establishes comprehensive rules on the collection, processing, and storage of personal data of European residents. 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45collect, use, protect, and share personal information from customers, partners, website visitors, and users of our services (collectively, "you").']}),e.jsx("p",{className:"mt-4",children:"By using our services or accessing our website, you acknowledge having read and understood this Policy. If you do not agree with the terms described herein, we ask that you do not use our services."}),e.jsxs("p",{className:"mt-4",children:["We are registered in the United States (Delaware) and Brazil, and we process personal data in compliance with the ",e.jsx("strong",{className:"text-white",children:"Brazilian General Data Protection Law (LGPD — Law No. 13,709/2018)"}),", the ",e.jsx("strong",{className:"text-white",children:"European Union General Data Protection Regulation (GDPR — EU Regulation 2016/679)"}),", the ",e.jsx("strong",{className:"text-white",children:"California Consumer Privacy Act (CCPA)"}),", and other applicable laws in the jurisdictions where we operate."]})]})}),e.jsx($a,{id:"collect",title:o?.section2??(l?"2. Dados que Coletamos":"2. Data We Collect"),children:l?e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"Coletamos diferentes categorias de dados pessoais dependendo do seu relacionamento conosco:"}),e.jsx(ja,{title:"2.1 Dados fornecidos diretamente por você",children:e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-2",children:[e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Dados de identificação:"})," nome completo, cargo, nome da empresa, número de CNPJ/CPF (quando aplicável)"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Dados de contato:"})," endereço de e-mail, número de telefone, endereço comercial"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Dados de conta:"})," credenciais de acesso (nome de usuário, senha criptografada), preferências de conta"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Dados de comunicação:"})," conteúdo de mensagens, solicitações de suporte técnico, feedback"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Dados contratuais:"})," informações necessárias para execução de contratos, incluindo dados de faturamento"]})]})}),e.jsx(ja,{title:"2.2 Dados coletados automaticamente",children:e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-2",children:[e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Dados de uso:"})," páginas visitadas, tempo de sessão, cliques, funcionalidades acessadas"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Dados técnicos:"})," endereço IP, tipo e versão do navegador, sistema operacional, resolução de tela"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Dados de localização:"})," localização aproximada com base no IP (país/região)"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Logs de sistema:"})," registros de acesso, erros e eventos de segurança"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Cookies e tecnologias similares:"})," conforme detalhado na Seção 9"]})]})}),e.jsx(ja,{title:"2.3 Dados de clientes processados em nome de terceiros",children:e.jsxs("p",{className:"mt-2",children:["Quando nossos clientes (operadores) utilizam nossas plataformas de IA para processamento de dados de câmeras e sensores, operamos como ",e.jsx("strong",{className:"text-white",children:"operador de dados"})," sob as instruções do cliente (controlador). Dados de vídeo, imagens e metadados associados são processados exclusivamente conforme o contrato de prestação de serviços."]})})]}):e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"We collect different categories of personal data depending on your relationship with us:"}),e.jsx(ja,{title:"2.1 Data You Provide Directly",children:e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-2",children:[e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Identification data:"})," full name, job title, company name, tax identification numbers (where applicable)"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Contact data:"})," email address, phone number, business address"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Account data:"})," access credentials (username, encrypted password), account preferences"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Communication data:"})," message contents, technical support requests, feedback"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Contractual data:"})," information required for contract execution, including billing data"]})]})}),e.jsx(ja,{title:"2.2 Automatically Collected Data",children:e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-2",children:[e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Usage data:"})," pages visited, session duration, clicks, features accessed"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Technical data:"})," IP address, browser type and version, operating system, screen resolution"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Location data:"})," approximate location based on IP (country/region)"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"System logs:"})," access records, errors, and security events"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Cookies and similar technologies:"})," as detailed in Section 9"]})]})}),e.jsx(ja,{title:"2.3 Customer Data Processed on Behalf of Third Parties",children:e.jsxs("p",{className:"mt-2",children:["When our customers (operators) use our AI platforms to process data from cameras and sensors, we act as a ",e.jsx("strong",{className:"text-white",children:"data processor"})," under the customer's instructions (controller). Video data, images, and associated metadata are processed exclusively in accordance with the service agreement."]})})]})}),e.jsx($a,{id:"use",title:o?.section3??(l?"3. Como Usamos Seus Dados":"3. How We Use Your Data"),children:l?e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"Utilizamos dados pessoais com base nas seguintes hipóteses legais previstas na LGPD e no GDPR:"}),e.jsxs("table",{className:"mt-4 w-full text-sm border-collapse",children:[e.jsx("thead",{children:e.jsxs("tr",{className:"border-b border-[rgba(0,229,204,0.18)]",children:[e.jsx("th",{className:"text-left py-3 pr-4 text-white font-semibold",children:"Finalidade"}),e.jsx("th",{className:"text-left py-3 text-white font-semibold",children:"Base Legal"})]})}),e.jsx("tbody",{className:"divide-y divide-[#9B30FF]/10",children:[["Prestação dos serviços contratados","Execução de contrato (Art. 7º, V da LGPD)"],["Criação e gerenciamento de contas de usuário","Execução de contrato"],["Suporte técnico e atendimento ao cliente","Execução de contrato / Legítimo interesse"],["Faturamento e gestão financeira","Execução de contrato / Obrigação legal"],["Melhoria de produtos e serviços","

45Legítimo interesse (Art. 7º, IX da LGPD)"],["Análise de segurança e prevenção a fraudes","Legítimo interesse / Segurança"],["Comunicações de marketing (com consentimento)","Consentimento (Art. 7º, I da LGPD)"],["Cumprimento de obrigações legais e regulatórias","Obrigação legal (Art. 7º, II da LGPD)"],["Defesa em processos judiciais ou administrativos","Exercício regular de direitos"]].map(([m,h])=>e.jsxs("tr",{children:[e.jsx("td",{className:"py-3 pr-4 text-[#B0C8D0]/85",children:m}),e.jsx("td",{className:"py-3 text-[#B0C8D0]/70",children:h})]},m))})]})]}):e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"We use personal data based on the following legal grounds under the LGPD and GDPR:"}),e.jsxs("table",{className:"mt-4 w-full text-sm border-collapse",children:[e.jsx("thead",{children:e.jsxs("tr",{className:"border-b border-[rgba(0,229,204,0.18)]",children:[e.jsx("th",{className:"text-left py-3 pr-4 text-white font-semibold",children:"Purpose"}),e.jsx("th",{className:"text-left py-3 text-white font-semibold",children:"Legal Basis"})]})}),e.jsx("tbody",{className:"divide-y divide-[#9B30FF]/10",children:[["Providing contracted services","Contract performance"],["Creating and managing user accounts","Contract performance"],["Technical support and customer service","Contract performance / Legitimate interest"],["Billing and financial management","Contract performance / Legal obligation"],["Product and service improvement","Legitimate interest"],["Security analysis and fraud prevention","Legitimate interest / Security"],["Marketing communications (with consent)","Consent"],["Compliance with legal and regulatory obligations","Legal obligation"],["Defense in legal or administrative proceedings","Exercise of legal rights"]].map(([m,h])=>e.jsxs("tr",{children:[e.jsx("td",{className:"py-3 pr-4 text-[#B0C8D0]/85",children:m}),e.jsx("td",{className:"py-3 text-[#B0C8D0]/70",children:h})]},m))})]})]})}),e.jsx($a,{id:"share",title:o?.section4??(l?"4. Compartilhamento de Dados":"4. Data Sharing"),children:l?e.jsxs(e.Fragment,{children:[e.jsxs("p",{children:["A AiQuimist.ai ",e.jsx("strong",{className:"text-white",children:"não vende"})," dados pessoais. Compartilhamos dados apenas nas seguintes situações:"]}),e.jsx(ja,{title:"4.1 Prestadores de serviços",children:e.jsx("p",{className:"mt-2",children:"Contratamos empresas terceirizadas para auxiliar na operação de nossos serviços (provedores de infraestrutura em nuvem, processadores de pagamento, plataformas de e-mail). Esses parceiros estão contratualmente obrigados a processar dados apenas conforme nossas instruções e manter padrões adequados de segurança."})}),e.jsx(ja,{title:"4.2 Autoridades governamentais",children:e.jsx("p",{className:"mt-2",children:"Podemos divulgar dados quando legalmente obrigados por ordem judicial, requisição de autoridade competente ou cumprimento de obrigação legal."})}),e.jsx(ja,{title:"4.3 Transações corporativas",children:e.jsx("p",{className:"mt-2",children:"Em caso de fusão, aquisição ou venda de ativos, dados pessoais podem ser transferidos como parte da transação, sempre com garantias adequadas de proteção."})}),e.jsx(ja,{title:"4.4 Com seu consentimento",children:e.jsx("p",{className:"mt-2",children:"Podemos compartilhar dados com terceiros quando você nos autorizar expressamente."})})]}):e.jsxs(e.Fragment,{children:[e.jsxs("p",{children:["AiQuimist.ai does ",e.jsx("strong",{className:"text-white",children:"not sell"})," personal data. We share data only in the following situations:"]}),e.jsx(ja,{title:"4.1 Service Providers",children:e.jsx("p",{className:"mt-2",children:"We engage third-party companies to assist in operating our services (cloud infrastructure providers, payment processors, email platforms). These partners are contractually bound to process data only according to our instructions and maintain appropriate security standards."})}),e.jsx(ja,{title:"4.2 Government Authorities",children:e.jsx("p",{className:"mt-2",children:"We may disclose data when legally required by court order, request of competent authority, or to fulfill legal obligations."})}),e.jsx(ja,{title:"4.3 Corporate Transactions",children:e.jsx("p",{className:"mt-2",children:"In the event of a merger, acquisition, or asset sale, personal data may be transferred as part of the transaction, always with adequate protection guarantees."})}),e.jsx(ja,{title:"4.4 With Your Consent",children:e.jsx("p",{className:"mt-2",children:"We may share data with third parties when you expressly authorize us to do so."})})]})}),e.jsx($a,{id:"security",title:o?.section5??(l?"5. Segurança dos Dados":"5. Data Security"),children:l?e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"Implementamos medidas técnicas e organizacionais robustas para proteger seus dados pessoais:"}),e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-4",children:[e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Criptografia em trânsito:"})," TLS 1.3 para todas as comunicações"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Criptografia em repouso:"})," AES-256 para dados armazenados"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Controle de acesso:"})," princípio do menor privilégio, autenticação multifator (MFA) obrigatória para sistemas críticos"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Monitoramento contínuo:"})," detecção de intrusões, análise de logs de segurança em tempo real"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Testes de segurança:"})," testes de penetração periódicos realizados por especialistas independentes"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Resposta a incidentes:"})," plano formal de resposta a incidentes com notificação em até 72 horas às autoridades competentes"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Treinamento:"})," todos os colaboradores com acesso a dados pessoais recebem treinamento obrigatório em privacidade e segurança"]})]}),e.jsxs("p",{className:"mt-4 p-4 bg-[#9B30FF]/10 border border-[rgba(0,229,204,0.18)] rounded-xl",children:[e.jsx("strong",{className:"text-white",children:"Notificação de violação:"})," Em caso de incidente de segurança que resulte em violação de dados pessoais, notificaremos a Autoridade Nacional de Proteção de Dados (ANPD) e os titulares afetados dentro dos prazos legais."]})]}):e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"We implement robust technical and organizational measures to protect your personal data:"}),e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-4",children:[e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Encryption in transit:"}

45)," TLS 1.3 for all communications"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Encryption at rest:"})," AES-256 for stored data"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Access control:"})," principle of least privilege, mandatory multi-factor authentication (MFA) for critical systems"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Continuous monitoring:"})," intrusion detection, real-time security log analysis"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Security testing:"})," periodic penetration tests conducted by independent experts"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Incident response:"})," formal incident response plan with notification within 72 hours to competent authorities"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"Training:"})," all employees with access to personal data receive mandatory privacy and security training"]})]}),e.jsxs("p",{className:"mt-4 p-4 bg-[#9B30FF]/10 border border-[rgba(0,229,204,0.18)] rounded-xl",children:[e.jsx("strong",{className:"text-white",children:"Breach Notification:"})," In the event of a security incident resulting in a personal data breach, we will notify the competent Data Protection Authority and affected data subjects within legal timeframes."]})]})}),e.jsx($a,{id:"retention",title:o?.section6??(l?"6. Retenção de Dados":"6. Data Retention"),children:l?e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"Retemos dados pessoais apenas pelo tempo necessário para as finalidades para as quais foram coletados ou conforme exigido por lei:"}),e.jsxs("table",{className:"mt-4 w-full text-sm border-collapse",children:[e.jsx("thead",{children:e.jsxs("tr",{className:"border-b border-[rgba(0,229,204,0.18)]",children:[e.jsx("th",{className:"text-left py-3 pr-4 text-white font-semibold",children:"Categoria"}),e.jsx("th",{className:"text-left py-3 text-white font-semibold",children:"Prazo de Retenção"})]})}),e.jsx("tbody",{className:"divide-y divide-[#9B30FF]/10",children:[["Dados de conta ativa","Duração do relacionamento contratual + 5 anos"],["Dados de faturamento e contratos","10 anos (obrigação fiscal/legal)"],["Logs de sistema e segurança","12 meses"],["Dados de suporte técnico","3 anos após encerramento do chamado"],["Comunicações de marketing","Até revogação do consentimento"],["Dados de vídeo/câmera (clientes B2B)","Conforme contrato (padrão: 30 dias)"],["Dados de navegação e cookies analíticos","13 meses"]].map(([m,h])=>e.jsxs("tr",{children:[e.jsx("td",{className:"py-3 pr-4 text-[#B0C8D0]/85",children:m}),e.jsx("td",{className:"py-3 text-[#B0C8D0]/70",children:h})]},m))})]})]}):e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"We retain personal data only as long as necessary for the purposes for which it was collected or as required by law:"}),e.jsxs("table",{className:"mt-4 w-full text-sm border-collapse",children:[e.jsx("thead",{children:e.jsxs("tr",{className:"border-b border-[rgba(0,229,204,0.18)]",children:[e.jsx("th",{className:"text-left py-3 pr-4 text-white font-semibold",children:"Category"}),e.jsx("th",{className:"text-left py-3 text-white font-semibold",children:"Retention Period"})]})}),e.jsx("tbody",{className:"divide-y divide-[#9B30FF]/10",children:[["Active account data","Duration of contractual relationship + 5 years"],["Billing and contract data","10 years (tax/legal obligation)"],["System and security logs","12 months"],["Technical support data","3 years after ticket closure"],["Marketing communications","Until consent is revoked"],["Video/camera data (B2B customers)","Per contract (default: 30 days)"],["Navigation data and analytics cookies","13 months"]].map(([m,h])=>e.jsxs("tr",{children:[e.jsx("td",{className:"py-3 pr-4 text-[#B0C8D0]/85",children:m}),e.jsx("td",{className:"py-3 text-[#B0C8D0]/70",children:h})]},m))})]})]})}),e.jsx($a,{id:"transfers",title:o?.section7??(l?"7. Transferências Internacionais":"7. International Transfers"),children:l?e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"Operamos globalmente, o que pode envolver transferências de dados pessoais entre países. Para garantir proteção adequada em transferências internacionais, adotamos:"}),e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-4",children:[e.jsx("li",{children:"Cláusulas Contratuais Padrão (SCCs) aprovadas pela Comissão Europeia"}),e.jsx("li",{children:"Avaliação de impacto de transferência (TIA) quando exigido pelo GDPR"}),e.jsx("li",{children:"Contratos de processamento de dados (DPAs) com todos os subprocessadores"}),e.jsx("li",{children:"Conformidade com as exigências da ANPD para transferências internacionais sob a LGPD"})]}),e.jsxs("p",{className:"mt-4",children:["Nossos principais centros de processamento de dados estão localizados nos ",e.jsx("strong",{className:"text-white",children:"Estados Unidos"})," e no ",e.jsx("strong",{className:"text-white",children:"Brasil"}),". Utilizamos provedores de nuvem certificados (incluindo AWS, Microsoft Azure e Google Cloud) com certificações ISO 27001, SOC 2 Type II e conformidade com GDPR."]})]}):e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"We operate globally, which may involve transferring personal data between countries. To ensure adequate protection in international transfers, we adopt:"}),e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-4",children:[e.jsx("li",{children:"Standard Contractual Clauses (SCCs) approved by the European Commission"}),e.jsx("li",{children:"Transfer Impact Assessment (TIA) when required by GDPR"}),e.jsx("li",{children:"Data Processing Agreements (DPAs) with all sub-processors"}),e.jsx("li",{children:"Compliance with ANPD requirements for international transfers under LGPD"})]}),e.jsxs("p",{className:"mt-4",children:["Our main data processing centers are located in the ",e.jsx("strong",{className:"text-white",children:"United States"})," and ",e.jsx("strong",{className:"text-white",children:"Brazil"}),". We use certified cloud providers (including AWS, Microsoft Azure, and Google Cloud) with ISO 27001, SOC 2 Type II certifications and GDPR compliance."]})]})}),e.jsx($a,{id:"lgpd",title:o?.section8??(l?"8. Seus Direitos (LGPD / GDPR)":"8. Your Rights (LGPD / GDPR)"),children:l?e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"Você possui os 

45seguintes direitos em relação aos seus dados pessoais, conforme a LGPD (art. 18) e o GDPR (art. 15–22):"}),e.jsx("div",{className:"grid sm:grid-cols-2 gap-4 mt-4",children:[["Acesso","Solicitar cópia dos seus dados pessoais que processamos"],["Retificação","Corrigir dados incompletos, inexatos ou desatualizados"],["Exclusão","Solicitar apagamento dos dados desnecessários ou tratados em desconformidade"],["Portabilidade","Receber seus dados em formato estruturado e interoperável"],["Oposição","Opor-se ao tratamento com base em legítimo interesse"],["Revogação do consentimento","Retirar consentimento a qualquer momento, sem prejuízo da licitude do tratamento anterior"],["Informação","Ser informado sobre com quem seus dados são compartilhados"],["Não discriminação","Não ser discriminado por exercer seus direitos"]].map(([m,h])=>e.jsxs("div",{className:"p-4 bg-[#06080D] border border-[rgba(0,229,204,0.12)] rounded-xl",children:[e.jsx("p",{className:"text-[#00E5CC] font-semibold text-sm mb-1",children:m}),e.jsx("p",{className:"text-[#B0C8D0]/70 text-xs",children:h})]},m))}),e.jsx("p",{className:"mt-6",children:"Para exercer qualquer um desses direitos, entre em contato com nosso Encarregado de Proteção de Dados (DPO):"}),e.jsxs("p",{className:"mt-2 p-4 bg-[#9B30FF]/10 border border-[rgba(0,229,204,0.18)] rounded-xl",children:[e.jsx("strong",{className:"text-white",children:"DPO AiQuimist.ai"}),e.jsx("br",{}),"E-mail: ",e.jsx("a",{href:"mailto:[email protected]",className:"text-[#00E5CC] hover:underline",children:"[email protected]"}),e.jsx("br",{}),"Responderemos em até ",e.jsx("strong",{className:"text-white",children:"15 dias úteis"})," a partir do recebimento da solicitação."]})]}):e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"You have the following rights regarding your personal data, under the LGPD (art. 18) and GDPR (art. 15–22):"}),e.jsx("div",{className:"grid sm:grid-cols-2 gap-4 mt-4",children:[["Access","Request a copy of the personal data we process about you"],["Rectification","Correct incomplete, inaccurate, or outdated data"],["Erasure","Request deletion of unnecessary or non-compliant data"],["Portability","Receive your data in a structured, interoperable format"],["Objection","Object to processing based on legitimate interest"],["Consent withdrawal","Withdraw consent at any time without affecting prior lawful processing"],["Information","Be informed about who your data is shared with"],["Non-discrimination","Not be discriminated against for exercising your rights"]].map(([m,h])=>e.jsxs("div",{className:"p-4 bg-[#06080D] border border-[rgba(0,229,204,0.12)] rounded-xl",children:[e.jsx("p",{className:"text-[#00E5CC] font-semibold text-sm mb-1",children:m}),e.jsx("p",{className:"text-[#B0C8D0]/70 text-xs",children:h})]},m))}),e.jsx("p",{className:"mt-6",children:"To exercise any of these rights, contact our Data Protection Officer (DPO):"}),e.jsxs("p",{className:"mt-2 p-4 bg-[#9B30FF]/10 border border-[rgba(0,229,204,0.18)] rounded-xl",children:[e.jsx("strong",{className:"text-white",children:"AiQuimist.ai DPO"}),e.jsx("br",{}),"Email: ",e.jsx("a",{href:"mailto:[email protected]",className:"text-[#00E5CC] hover:underline",children:"[email protected]"}),e.jsx("br",{}),"We will respond within ",e.jsx("strong",{className:"text-white",children:"15 business days"})," of receiving your request."]})]})}),e.jsx($a,{id:"cookies",title:o?.section9??(l?"9. Cookies e Tecnologias de Rastreamento":"9. Cookies and Tracking Technologies"),children:l?e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"Utilizamos cookies e tecnologias similares para melhorar sua experiência. Você pode controlar o uso de cookies nas configurações do seu navegador."}),e.jsxs("table",{className:"mt-4 w-full text-sm border-collapse",children:[e.jsx("thead",{children:e.jsxs("tr",{className:"border-b border-[rgba(0,229,204,0.18)]",children:[e.jsx("th",{className:"text-left py-3 pr-4 text-white font-semibold",children:"Tipo"}),e.jsx("th",{className:"text-left py-3 pr-4 text-white font-semibold",children:"Finalidade"}),e.jsx("th",{className:"text-left py-3 text-white font-semibold",children:"Exemplos"})]})}),e.jsx("tbody",{className:"divide-y divide-[#9B30FF]/10",children:[["Essenciais","Necessários para o funcionamento básico do site e autenticação","Sessão, CSRF"],["Funcionais","Lembram preferências do usuário (idioma, tema)","Preferência de idioma"],["Analíticos","Medem desempenho e uso do site (dados anonimizados)","Google Analytics"],["Marketing","Veiculação de publicidade relevante (somente com consentimento)","Google Ads"]].map(([m,h,b])=>e.jsxs("tr",{children:[e.jsx("td",{className:"py-3 pr-4 text-[#00E5CC] font-medium",children:m}),e.jsx("td",{className:"py-3 pr-4 text-[#B0C8D0]/85",children:h}),e.jsx("td",{className:"py-3 text-[#B0C8D0]/70",children:b})]},m))})]})]}):e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"We use cookies and similar technologies to enhance your experience. You can control cookie use in your browser settings."}),e.jsxs("table",{className:"mt-4 w-full text-sm border-collapse",children:[e.jsx("thead",{children:e.jsxs("tr",{className:"border-b border-[rgba(0,229,204,0.18)]",children:[e.jsx("th",{className:"text-left py-3 pr-4 text-white font-semibold",children:"Type"}),e.jsx("th",{className:"text-left py-3 pr-4 text-white font-semibold",children:"Purpose"}),e.jsx("th",{className:"text-left py-3 text-white font-semibold",children:"Examples"})]})}),e.jsx("tbody",{className:"divide-y divide-[#9B30FF]/10",children:[["Essential","Required for basic site operation and authentication","Session, CSRF"],["Functional","Remember user preferences (language, theme)","Language preference"],["Analytical","Measure site performance and usage (anonymized data)","Google Analytics"],["Marketing","Deliver relevant advertising (consent only)","Google Ads"]].map(([m,h,b])=>e.jsxs("tr",{children:[e.jsx("td",{className:"py-3 pr-4 text-[#00E5CC] font-medium",children:m}),e.jsx("td",{className:"py-3 pr-4 text-[#B0C8D0]/85",children:h}),e.jsx("td",{className:"py-3 text-[#B0C8D0]/70",children:b})]},m))})]})]})}),e.jsx($a,{id:"children",title:o?.section10??(l?"10. Privacidade de Crianças":"10. Children's Privacy"),children:e.jsx("p",{children:l?"Nossos serviços são destinados exclusivamente a empresas e profissionais adultos. Não coletamos intencionalmente dados pessoais de crianças menores de 18 anos. Se tomarmos conhecimento de que coletamos acidentalmente dados de uma criança sem verificação de consentimento parental adequado, tomaremos medidas imediatas para excluir essas informações. Se você acreditar que coletamos dados de uma criança, entre em contato conosco imediatamente pelo e-mail [email protected].":"Our services are intended exclusively for businesses and adult professionals. We do not intentionally collect personal data from children under 18 years of age. If we become aware that we have accidentally collected data from a child without appropriate parental consent verification, we will take immediate steps to delete that information. If you believe we have collected data from a child, please contact us immediately at [email protected]."})}),e.jsx($a,{id:"changes",title:o?.section11??(l?"11. Alterações a Esta Política":"11. 

45Changes to This Policy"),children:e.jsx("p",{children:l?"Podemos atualizar esta Política de Privacidade periodicamente para refletir mudanças em nossas práticas, legislação aplicável ou serviços. Notificaremos você sobre alterações materiais por e-mail (para usuários registrados) ou por aviso destacado em nosso site. A data da última atualização será sempre indicada no topo desta página. Recomendamos que você revise esta Política periodicamente.":"We may periodically update this Privacy Policy to reflect changes in our practices, applicable law, or services. We will notify you of material changes by email (for registered users) or by prominent notice on our website. The date of the last update will always be indicated at the top of this page. We recommend you review this Policy periodically."})}),e.jsx($a,{id:"contact",title:o?.section12??(l?"12. Contato e DPO":"12. Contact & DPO"),children:l?e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"Para dúvidas, solicitações ou reclamações relacionadas a esta Política ou ao tratamento de seus dados pessoais, entre em contato:"}),e.jsxs("div",{className:"mt-6 grid sm:grid-cols-2 gap-4",children:[e.jsx(vi,{title:"Encarregado de Dados (DPO)",email:"[email protected]",desc:"Para solicitações de direitos, reclamações e questões de privacidade"}),e.jsx(vi,{title:"Privacidade Geral",email:"[email protected]",desc:"Para dúvidas gerais sobre proteção de dados"}),e.jsx(vi,{title:"Segurança",email:"[email protected]",desc:"Para reportar vulnerabilidades ou incidentes de segurança"}),e.jsx(vi,{title:"Suporte Comercial",email:"[email protected]",desc:"Para questões contratuais e comerciais"})]}),e.jsxs("p",{className:"mt-6",children:["Você também tem o direito de registrar uma reclamação junto à ",e.jsx("strong",{className:"text-white",children:"ANPD (Autoridade Nacional de Proteção de Dados)"})," ou à autoridade supervisora de proteção de dados do seu país."]})]}):e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"For questions, requests, or complaints related to this Policy or the processing of your personal data, please contact:"}),e.jsxs("div",{className:"mt-6 grid sm:grid-cols-2 gap-4",children:[e.jsx(vi,{title:"Data Protection Officer (DPO)",email:"[email protected]",desc:"For rights requests, complaints, and privacy matters"}),e.jsx(vi,{title:"General Privacy",email:"[email protected]",desc:"For general data protection questions"}),e.jsx(vi,{title:"Security",email:"[email protected]",desc:"To report vulnerabilities or security incidents"}),e.jsx(vi,{title:"Commercial Support",email:"[email protected]",desc:"For contractual and commercial matters"})]}),e.jsxs("p",{className:"mt-6",children:["You also have the right to lodge a complaint with the ",e.jsx("strong",{className:"text-white",children:"ANPD (Brazilian N

45ational Data Protection Authority)"})," or the data protection supervisory authority in your country."]})]})})]})]})})]})}function $a({id:s,title:i,children:l}){return e.jsxs("section",{id:s,"data-section":!0,className:"scroll-mt-24",children:[e.jsx("h2",{className:"text-xl font-bold text-white mb-6 pb-3 border-b border-[rgba(0,229,204,0.18)]",children:i}),e.jsx("div",{className:"space-y-4 text-[#B0C8D0]/85",children:l})]})}function ja({title:s,children:i}){return e.jsxs("div",{className:"mt-5",children:[e.jsx("h3",{className:"text-base font-semibold text-white mb-2",children:s}),i]})}function vi({title:s,email:i,desc:l}){return e.jsxs("div",{className:"p-4 bg-[#06080D] border border-[rgba(0,229,204,0.12)] rounded-xl",children:[e.jsx("p",{className:"text-white font-semibold text-sm mb-1",children:s}),e.jsx("a",{href:`mailto:${i}`,className:"text-[#00E5CC] hover:underline text-sm",children:i}),e.jsx("p",{className:"text-[#B0C8D0]/70 text-xs mt-1",children:l})]})}const VN=[{id:"acceptance",icon:Yl,enLabel:"Acceptance"},{id:"services",icon:Zy,enLabel:"Services"},{id:"account",icon:wi,enLabel:"Account"},{id:"license",icon:Yi,enLabel:"License & IP"},{id:"acceptable",icon:Yl,enLabel:"Acceptable Use"},{id:"privacy",icon:pa,enLabel:"Privacy & Data"},{id:"sla",icon:qa,enLabel:"Availability (SLA)"},{id:"billing",icon:e2,enLabel:"Billing"},{id:"liability",icon:Lt,enLabel:"Liability"},{id:"indemnification",icon:Jg,enLabel:"Indemnification"},{id:"termination",icon:du,enLabel:"Termination"},{id:"governing",icon:Jg,enLabel:"Governing Law"},{id:"changes",icon:Yi,enLabel:"Changes"},{id:"contact",icon:$e,enLabel:"Contact"}];function UN(){const{lang:s,t:i}=_e(),l=s==="pt",o=i.terms,[u,p]=C.useState("acceptance");C.useEffect(()=>{window.scrollTo(0,0);const m=new IntersectionObserver(h=>{h.forEach(b=>{b.isIntersecting&&p(b.target.id)})},{rootMargin:"-20% 0px -70% 0px"});return document.querySelectorAll("[data-section]").forEach(h=>m.observe(h)),()=>m.disconnect()},[]);const f=VN.map((m,h)=>({...m,label:o?.[`toc${h+1}`]??m.enLabel}));return e.jsxs("div",{className:"bg-[#080A0F] min-h-screen text-[#B0C8D0]/85",children:[e.jsx(ha,{title:"Terms of Service — AiQuimist.ai",description:"Read AiQuimist.ai's terms of service — the legal agreement governing use of our AI platforms and services, including licensing, SLA, and data processing terms.",canonical:"https://aiquimist.ai/terms-of-service",noIndex:!1}),e.jsx("div",{className:"bg-gradient-to-b from-[#06080D] to-[#080A0F] border-b border-[rgba(0,229,204,0.12)] pt-32 pb-16",children:e.jsxs("div",{className:"max-w-7xl mx-auto px-4 sm:px-6 lg:px-8",children:[e.jsxs("div",{className:"flex items-center gap-2 text-sm text-[#B0C8D0]/50 mb-6",children:[e.jsx($,{href:"/",className:"hover:text-[#00E5CC] transition-colors",children:"Home"}),e.jsx(Qe,{className:"w-4 h-4"}),e.jsx("span",{className:"text-[#B0C8D0]/85",children:o?.breadcrumb??(l?"Termos de Serviço":"Terms of Service")})]}),e.jsxs("div",{className:"flex items-center gap-5 mb-6",children:[e.jsx("div",{className:"w-14 h-14 rounded-2xl bg-[#9B30FF]/20 border border-[rgba(0,229,204,0.18)] flex items-center justify-center shrink-0",children:e.jsx(Yi,{className:"w-7 h-7 text-[#00E5CC]"})}),e.jsxs("div",{children:[e.jsx("h1",{className:"text-4xl md:text-5xl font-bold text-white",children:o?.title??(l?"Termos de Serviço":"Terms of Service")}),e.jsx("p",{className:"text-[#B0C8D0]/70 mt-2 text-sm",children:o?.lastUpdated??(l?"Última atualização: 21 de março de 2026 · Versão 2.0":"Last updated: March 21, 2026 · Version 2.0")})]})]}),e.jsx("p",{className:"text-[#B0C8D0]/70 max-w-3xl text-lg leading-relaxed",children:o?.intro??(l?"Este instrumento regula o acesso e uso dos produtos e serviços da AiQuimist.ai. 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If you do not agree, do not use our services."]})})]})}),e.jsx("div",{className:"max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-16",children:e.jsxs("div",{className:"flex flex-col lg:flex-row gap-12",children:[e.jsx("aside",{className:"lg:w-64 shrink-0",children:e.jsxs("div",{className:"lg:sticky lg:top-24 bg-[#06080D] border border-[rgba(0,229,204,0.12)] rounded-2xl p-6",children:[e.jsx("p",{className:"text-xs uppercase tracking-widest text-[#00E5CC] font-semibold mb-5",children:o?.navLabel??(l?"Sumário":"Contents")}),e.jsx("ul",{className:"space-y-1",children:f.map(m=>{const h=m.icon;return e.jsx("li",{children:e.jsxs("a",{href:`#${m.id}`,className:`flex items-center gap-3 px-3 py-2 rounded-xl text-sm transition-all ${u===m.id?"bg-[#9B30FF]/20 text-[#00E5CC] font-semibold":"text-[#B0C8D0]/70 hover:text-white hover:bg-white/5"}`,onClick:()=>p(m.id),children:[e.jsx(h,{className:"w-4 h-4 shrink-0"}),m.label]})},m.id)})})]})}),e.jsxs("article",{className:"flex-1 max-w-3xl space-y-16 text-sm leading-relaxed",children:[e.jsx(Na,{id:"acceptance",title:o?.section1??(l?"1. 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Acceptance of Terms"),children:l?e.jsxs(e.Fragment,{children:[e.jsxs("p",{children:['Estes Termos de Serviço ("Termos") constituem um contrato juridicamente vinculante entre você ("Cliente", "Usuário" ou "você") e a ',e.jsx("strong",{className:"text-white",children:"AiQuimist.ai LLC"}),', uma empresa registrada no Estado de Delaware, Estados Unidos, e suas afiliadas brasileiras e internacionais (coletivamente, "AiQuimist.ai", "nós" ou "nossa").']}),e.jsx("p",{className:"mt-4",children:'Ao acessar ou utilizar qualquer produto, plataforma, API, documentação, ferramenta ou serviço fornecido pela AiQuimist.ai (coletivamente, "Serviços"), você declara que:'}),e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-3",children:[e.jsx("li",{children:"Tem capacidade legal para celebrar contratos vinculantes;"}),e.jsx("li",{children:"Se estiver aceitando em nome de uma organização, tem autoridade para vincular essa organização;"}),e.jsx("li",{children:"Leu, compreendeu e concorda com estes Termos e nossa Política de Privacidade."})]})]}):e.jsxs(e.Fragment,{children:[e.jsxs("p",{children:['These Terms of Service ("Terms") constitute a legally binding agreement between you ("Customer," "

45User," or "you") and ',e.jsx("strong",{className:"text-white",children:"AiQuimist.ai LLC"}),', a company registered in the State of Delaware, United States, and its Brazilian and international affiliates (collectively, "AiQuimist.ai," "we," or "our").']}),e.jsx("p",{className:"mt-4",children:'By accessing or using any product, platform, API, documentation, tool, or service provided by AiQuimist.ai (collectively, "Services"), you represent that you:'}),e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-3",children:[e.jsx("li",{children:"Have the legal capacity to enter into binding agreements;"}),e.jsx("li",{children:"If accepting on behalf of an organization, have the authority to bind that organization;"}),e.jsx("li",{children:"Have read, understood, and agree to these Terms and our Privacy Policy."})]})]})}),e.jsx(Na,{id:"services",title:o?.section2??(l?"2. Descrição dos Serviços":"2. Description of Services"),children:l?e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"A AiQuimist.ai oferece plataformas de inteligência artificial para segurança e cidades inteligentes, incluindo:"}),e.jsx("div",{className:"grid sm:grid-cols-3 gap-4 mt-4",children:[{name:"Perceptrum Corporate",desc:"Agente de segurança autônomo para monitoramento inteligente de câmeras, detecção de ameaças e integração com sistemas existentes (CCTV/VMS)"},{name:"Perceptrum Personal",desc:"Plataforma de visão computacional para o setor privado, com análise comportamental, 

45controle de acesso e business intelligence por câmeras"},{name:"F.A.S.T.-AI",desc:"Sistema de perseguição ativa para forças de segurança, com rastreamento preditivo de alvos em múltiplas câmeras e integração com dispatch"}].map(m=>e.jsxs("div",{className:"p-4 bg-[#06080D] border border-[rgba(0,229,204,0.12)] rounded-xl",children:[e.jsx("p",{className:"text-[#00E5CC] font-bold mb-2",children:m.name}),e.jsx("p",{className:"text-[#B0C8D0]/70 text-xs",children:m.desc})]},m.name))}),e.jsx("p",{className:"mt-4",children:"Os Serviços são fornecidos como Software como Serviço (SaaS) e/ou instalação on-premise, conforme definido no contrato específico firmado entre as partes. A disponibilidade de funcionalidades específicas pode variar conforme o plano contratado."})]}):e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"AiQuimist.ai offers artificial intelligence platforms for security and smart cities, including:"}),e.jsx("div",{className:"grid sm:grid-cols-3 gap-4 mt-4",children:[{name:"Perceptrum Corporate",desc:"Autonomous AI security agent for intelligent camera monitoring, threat detection, and integration with existing CCTV/VMS systems"},{name:"Perceptrum Personal",desc:"Computer vision platform for the private sector, with behavioral analytics, access control, and camera-based business intelligence"},{name:"F.A.S.T.-AI",desc:"Active pursuit system for security forces, with predictive multi-camera target tracking and dispatch integration"}].map(m=>e.jsxs("div",{className:"p-4 bg-[#06080D] border border-[rgba(0,229,204,0.12)] rounded-xl",children:[e.jsx("p",{className:"text-[#00E5CC] font-bold mb-2",children:m.name}),e.jsx("p",{className:"text-[#B0C8D0]/70 text-xs",children:m.desc})]},m.name))}),e.jsx("p",{className:"mt-4",children:"Services are provided as Software as a Service (SaaS) and/or on-premise installation, as defined in the specific agreement between the parties. Availability of specific features may vary by contracted plan."})]})}),e.jsx(Na,{id:"account",title:o?.section3??(l?"3. Registro e Conta de Usuário":"3. Account Registration"),children:l?e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"Para acessar os Serviços, é necessário criar uma conta. Ao se registrar, você concorda em:"}),e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-3",children:[e.jsx("li",{children:"Fornecer informações verdadeiras, precisas, atuais e completas;"}),e.jsx("li",{children:"Manter e atualizar prontamente suas informações de registro;"}),e.jsx("li",{children:"Manter a confidencialidade de suas credenciais de acesso;"}),e.jsx("li",{children:"Notificar-nos imediatamente em caso de uso não autorizado da sua conta;"}),e.jsx("li",{children:"Ser responsável por todas as atividades que ocorram sob sua conta."})]}),e.jsx("p",{className:"mt-4",children:"A AiQuimist.ai reserva-se o direito de desativar contas que violem estes Termos ou por suspeita de atividade fraudulenta, sem aviso prévio quando necessário para proteção do serviço."}),e.jsx("p",{className:"mt-4",children:"Contas empresariais podem incluir múltiplos usuários (administradores, operadores, leitores). O administrador da conta é responsável por gerenciar permissões e garantir que todos os usuários cumpram estes Termos."})]}):e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"To access the Services, you must create an account. By registering, you agree to:"}),e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-3",children:[e.jsx("li",{children:"Provide true, accurate, current, and complete information;"}),e.jsx("li",{children:"Promptly maintain and update your registration information;"}),e.jsx("li",{children:"Maintain the confidentiality of your access credentials;"}),e.jsx("li",{children:"Immediately notify us of any unauthorized use of your account;"}),e.jsx("li",{children:"Be responsible for all activities that occur under your account."})]}),e.jsx("p",{className:"mt-4",children:"AiQuimist.ai reserves the right to deactivate accounts that violate these Terms or for suspected fraudulent activity, without prior notice when necessary to protect the service."}),e.jsx("p",{className:"mt-4",children:"Enterprise accounts may include multiple users (administrators, operators, readers). The account administrator is responsible for managing permissions and ensuring all users comply with these Terms."})]})}),e.jsx(Na,{id:"license",title:o?.section4??(l?"4. Licença e Propriedade Intelectual":"4. License and Intellectual Property"),children:l?e.jsxs(e.Fragment,{children:[e.jsx(Te,{title:"4.1 Concessão de Licença",children:e.jsx("p",{className:"mt-2",children:"Sujeito ao cumprimento destes Termos e ao pagamento das taxas a

45plicáveis, a AiQuimist.ai concede a você uma licença limitada, não exclusiva, não transferível, não sublicenciável e revogável para acessar e usar os Serviços exclusivamente para seus fins comerciais internos."})}),e.jsxs(Te,{title:"4.2 Propriedade da AiQuimist.ai",children:[e.jsx("p",{className:"mt-2",children:"A AiQuimist.ai e seus licenciantes detêm todos os direitos de propriedade intelectual relacionados aos Serviços, incluindo:"}),e.jsxs("ul",{className:"list-disc list-inside space-y-1 mt-2",children:[e.jsx("li",{children:"Código-fonte, algoritmos e modelos de inteligência artificial (incluindo o motor IMUS)"}),e.jsx("li",{children:"Interfaces de usuário, design e experiência do usuário"}),e.jsx("li",{children:"Documentação técnica, manuais e materiais de treinamento"}),e.jsx("li",{children:"Marcas registradas, logos e identidade visual"}),e.jsx("li",{children:"Patentes, pedidos de patentes e know-how técnico"})]})]}),e.jsx(Te,{title:"4.3 Seus Dados",children:e.jsx("p",{className:"mt-2",children:'Você retém todos os direitos sobre os dados que inserir nos Serviços ("Dados do Cliente"). 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Não utilizaremos seus dados para treinar nossos modelos de IA sem autorização expressa.'})}),e.jsx(Te,{title:"4.4 Feedback",children:e.jsx("p",{className:"mt-2",children:"Se você nos enviar sugestões, ideias ou feedback sobre os Serviços, concordamos que podemos usar essas informações sem obrigação de compensação ou atribuição."})})]}):e.jsxs(e.Fragment,{children:[e.jsx(Te,{title:"4.1 License Grant",children:e.jsx("p",{className:"mt-2",children:"Subject to compliance with these Terms and payment of applicable fees, AiQuimist.ai grants you a limited, non-exclusive, non-transferable, non-sublicensable, and revocable license to access and use the Services solely for your internal business purposes."})}),e.jsxs(Te,{title:"4.2 AiQuimist.ai Ownership",children:[e.jsx("p",{className:"mt-2",children:"AiQuimist.ai and its licensors retain all intellectual property rights related to the Services, including:"}),e.jsxs("ul",{className:"list-disc list-inside space-y-1 mt-2",children:[e.jsx("li",{children:"Source code, algorithms, and artificial intelligence models (including the UMSI engine)"}),e.jsx("li",{children:"User interfaces, design, and user experience"}),e.jsx("li",{children:"Technical documentation, manuals, and training materials"}),e.jsx("li",{children:"Registered trademarks, logos, and visual identity"}),e.jsx("li",{children:"Patents, patent applications, and technical know-how"})]})]}),e.jsx(Te,{title:"4.3 Your Data",children:e.jsx("p",{className:"mt-2",children:'You retain all rights to the data you input into the Services ("Customer Data"). You grant us a limited license to process this data solely for the purpose of providing the contracted Services. We will not use your data to train our AI models without explicit authorization.'})}),e.jsx(Te,{title:"4.4 Feedback",children:e.jsx("p",{className:"mt-2",children:"If you send us suggestions, ideas, or feedback about the Services, you agree that we may use that information without any obligation of compensation or attribution."})})]})}),e.jsx(Na,{id:"acceptable",title:o?.section5??(l?"5. Uso Aceitável":"5. Acceptable Use"),children:l?e.jsxs(e.Fragment,{children:[e.jsxs("p",{children:["Você concorda em utilizar os Serviços somente para fins legais e de acordo com estes Termos. ",e.jsx("strong",{className:"text-white",children:"É expressamente proibido:"})]}),e.jsx("div",{className:"mt-4 space-y-3",children:[["Uso ilegal","Usar os Serviços para atividades ilegais, incluindo vigilância não autorizada, coleta ilegal de dados biométricos ou violação de direitos de privacidade"],["Engenharia reversa","Descompilar, fazer engenharia reversa, desmontar ou tentar derivar o código-fonte de qualquer componente dos Serviços"],["Acesso não autorizado","Tentar acessar sistemas, redes ou dados além do que é permitido pela sua conta"],["Interferência","Introduzir vírus, malware ou qualquer código malicioso; realizar ataques de negação de serviço; comprometer a integridade dos Serviços"],["Revenda não autorizada","Sublicenciar, vender, revender, transferir ou explorar comercialmente os Serviços sem autorização expressa"],["Violação de PI","Remover avisos de propriedade, marcas registradas ou legendas de direitos autorais dos Serviços"],["Raspagem de dados","Coletar dados dos Serviços através de meios automatizados sem permissão escrita prévia"]].map(([m,h])=>e.jsxs("div",{className:"flex gap-3 p-3 bg-red-500/5 border border-red-500/20 rounded-xl",children:[e.jsx(du,{className:"w-4 h-4 text-red-400 shrink-0 mt-0.5"}),e.jsxs("div",{children:[e.jsxs("span",{className:"text-red-300 font-semibold text-sm",children:[m,": "]}),e.jsx("span",{className:"text-[#B0C8D0]/70 text-sm",children:h})]})]},m))}),e.jsx("p",{className:"mt-4",children:"A violação destas disposições pode resultar na suspensão ou rescisão imediata da sua conta e acesso aos Serviços, além de responsabilização civ

45il e criminal."})]}):e.jsxs(e.Fragment,{children:[e.jsxs("p",{children:["You agree to use the Services only for lawful purposes and in accordance with these Terms. ",e.jsx("strong",{className:"text-white",children:"The following are expressly prohibited:"})]}),e.jsx("div",{className:"mt-4 space-y-3",children:[["Illegal use","Using the Services for illegal activities, including unauthorized surveillance, illegal collection of biometric data, or violation of privacy rights"],["Reverse engineering","Decompiling, reverse engineering, disassembling, or attempting to derive the source code of any component of the Services"],["Unauthorized access","Attempting to access systems, networks, or data beyond what is permitted by your account"],["Interference","Introducing viruses, malware, or any malicious code; conducting denial-of-service attacks; compromising the integrity of the Services"],["Unauthorized resale","Sublicensing, selling, reselling, transferring, or commercially exploiting the Services without express authorization"],["IP violation","Removing proprietary notices, trademarks, or copyright legends from the Services"],["Data scraping","Collecting data from the Services through automated means without prior written permission"]].map(([m,h])=>e.jsxs("div",{className:"flex gap-3 p-3 bg-red-500/5 border border-red-500/20 rounded-xl",children:[e.jsx(du,{className:"w-4 h-4 text-red-400 shrink-0 mt-0.5"}),e.jsxs("div",{children:[e.jsxs("span",{className:"text-red-300 font-semibold text-sm",children:[m,": "]}),e.jsx("span",{className:"text-[#B0C8D0]/70 text-sm",children:h})]})]},m))}),e.jsx("p",{className:"mt-4",children:"Violation of these provisions may result in immediate suspension or termination of your account and access to the Services, as well as civil and criminal liability."})]})}),e.jsx(Na,{id:"privacy",title:o?.section6??(l?"6. Privacidade e Proteção de Dados":"6. Privacy and Data Protection"),children:l?e.jsxs(e.Fragment,{children:[e.jsxs("p",{children:["O tratamento de dados pessoais no âmbito destes Termos é regido pela nossa ",e.jsx($,{href:"/privacy-policy",className:"text-[#00E5CC] hover:underline",children:"Política de Privacidade"}),", que é parte integrante deste instrumento."]}),e.jsxs("p",{className:"mt-4",children:["Para clientes empresariais, celebramos um ",e.jsx("strong",{className:"text-white",children:"Acordo de Processamento de Dados (DPA/APD)"})," como parte do contrato de prestação de serviços, conforme exigido pela LGPD e pelo GDPR. O DPA define:"]}),e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-3",children:[e.jsx("li",{children:"As categorias de dados pessoais processados em seu nome;"}),e.jsx("li",{children:"As finalidades e duração do processamento;"}),e.jsx("li",{children:"As medidas técnicas e organizacionais de segurança;"}),e.jsx("li",{children:"Os direitos e obrigações de cada parte como controlador e operador;"}),e.jsx("li",{children:"Os procedimentos para solicitação de direitos dos t

45itulares."})]})]}):e.jsxs(e.Fragment,{children:[e.jsxs("p",{children:["The processing of personal data under these Terms is governed by our ",e.jsx($,{href:"/privacy-policy",className:"text-[#00E5CC] hover:underline",children:"Privacy Policy"}),", which is an integral part of this agreement."]}),e.jsxs("p",{className:"mt-4",children:["For enterprise customers, we enter into a ",e.jsx("strong",{className:"text-white",children:"Data Processing Agreement (DPA)"})," as part of the service agreement, as required by the LGPD and GDPR. The DPA defines:"]}),e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-3",children:[e.jsx("li",{children:"The categories of personal data processed on your behalf;"}),e.jsx("li",{children:"The purposes and duration of processing;"}),e.jsx("li",{children:"Technical and organizational security measures;"}),e.jsx("li",{children:"The rights and obligations of each party as controller and processor;"}),e.jsx("li",{children:"Procedures for data subject rights requests."})]})]})}),e.jsx(Na,{id:"sla",title:o?.section7??(l?"7. Disponibilidade do Serviço (SLA)":"7. Service Availability (SLA)"),children:l?e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"A AiQuimist.ai se compromete a manter alta disponibilidade dos Serviços, conforme os níveis definidos abaixo:"}),e.jsxs("table",{className:"mt-4 w-full text-sm border-collapse",children:[e.jsx("thead",{children:e.jsxs("tr",{className:"border-b border-[rgba(0,229,204,0.18)]",children:[e.jsx("th",{className:"text-left py-3 pr-4 text-white font-semibold",children:"Plano"}),e.jsx("th",{className:"text-left py-3 pr-4 text-white font-semibold",children:"Disponibilidade"}),e.jsx("th",{className:"text-left py-3 text-white font-semibold",children:"Downtime máximo/mês"})]})}),e.jsx("tbody",{className:"divide-y divide-[#9B30FF]/10",children:[["Standard","99,5%","~3,6 horas"],["Professional","99,9%","~43 minutos"],["Enterprise / Missão Crítica","99,99%","~4,3 minutos"]].map(([m,h,b])=>e.jsxs("tr",{children:[e.jsx("td",{className:"py-3 pr-4 text-[#B0C8D0]/85",children:m}),e.jsx("td",{className:"py-3 pr-4 text-[#00E5CC] font-semibold",children:h}),e.jsx("td",{className:"py-3 text-[#B0C8D0]/70",children:b})]},m))})]}),e.jsx("p",{className:"mt-4",children:"As medições de disponibilidade excluem: (i) manutenções programadas com aviso prévio de 48h; (ii) indisponibilidades causadas por fatores fora do controle da AiQuimist.ai (força maior, falhas de provedores de internet, etc.); (iii) falhas causadas por uso indevido do cliente."}),e.jsxs("p",{className:"mt-4",children:[e.jsx("strong",{className:"text-white",children:"Créditos de serviço:"})," Em caso de não cumprimento do SLA, o Cliente terá direito a créditos proporcionais no faturamento seguinte, mediante solicitação formal no prazo de 30 dias após o incidente."]})]}):e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"AiQuimist.ai is committed to maintaining high availability of the Services, according to the levels defined below:"}),e.jsxs("table",{className:"mt-4 w-full text-sm border-collapse",children:[e.jsx("thead",{children:e.jsxs("tr",{className:"border-b border-[rgba(0,229,204,0.18)]",children:[e.jsx("th",{className:"text-left py-3 pr-4 text-white font-semibold",children:"Plan"}),e.jsx("th",{className:"text-left py-3 pr-4 text-white font-semibold",children:"Availability"}),e.jsx("th",{className:"text-left py-3 text-white font-semibold",children:"Max downtime/month"})]})}),e.jsx("tbody",{className:"divide-y divide-[#9B30FF]/10",children:[["Standard","99.5%","~3.6 hours"],["Professional","99.9%","~43 minutes"],["Enterprise / Mission Critical","99.99%","~4.3 minutes"]].map(([m,h,b])=>e.jsxs("tr",{children:[e.jsx("td",{className:"py-3 pr-4 text-[#B0C8D0]/85",children:m}),e.jsx("td",{className:"py-3 pr-4 text-[#00E5CC] font-semibold",children:h}),e.jsx("td",{className:"py-3 text-[#B0C8D0]/70",children:b})]},m))})]}),e.jsx("p",{className:"mt-4",children:"Availability measurements exclude: (i) scheduled maintenance with 48h prior notice; (ii) unavailability caused by factors outside AiQuimist.ai's control (force majeure, ISP failures, etc.); (iii) failures caused by customer misuse."}),e.jsxs("p",{className:"mt-4",children:[e.jsx("strong",{className:"text-white",children:"Service credits:"})," In the event of SLA non-compliance, the Customer will be entitled to proportional credits on the next invoice, upon formal request within 30 days after the incident."]})]})}),e.jsx(Na,{id:"billing",title:o?.section8??(l?"8. Preços, Faturamento e Pagamentos":"8. Pricing, Billing, and Payments"),children:l?e.jsxs(e.Fragment,{children:[e.jsx(Te,{title:"8.1 Preços",children:e.jsxs("p",{className:"mt-2",children:["Os preços dos Serviços são definidos no contrato específico ou proposta comercial aceita. Preç

45os podem ser revisados com aviso prévio de ",e.jsx("strong",{className:"text-white",children:"90 dias"})," para contratos em vigor."]})}),e.jsx(Te,{title:"8.2 Faturamento",children:e.jsx("p",{className:"mt-2",children:"Salvo disposição em contrário no contrato, o faturamento é realizado mensalmente ou anualmente, conforme o plano. Faturas são emitidas no início de cada período de faturamento."})}),e.jsx(Te,{title:"8.3 Pagamento",children:e.jsxs("p",{className:"mt-2",children:["O pagamento deve ser efetuado no prazo de ",e.jsx("strong",{className:"text-white",children:"30 dias"})," a partir da emissão da fatura, salvo acordo diferente. Atrasos podem resultar em cobrança de juros de 1% ao mês e multa de 2%, além de eventual suspensão do serviço após 15 dias de inadimplência."]})}),e.jsx(Te,{title:"8.4 Impostos",children:e.jsx("p",{className:"mt-2",children:"Os preços indicados não incluem impostos, taxas ou encargos aplicáveis. O Cliente é responsável por todos os tributos incidentes sobre as transações, exceto impostos sobre a renda da AiQuimist.ai."})}),e.jsx(Te,{title:"8.5 Reembolsos",children:e.jsx("p",{className:"mt-2",children:"Salvo disposição expressa em contrário ou exigência legal, os valores pagos não são reembolsáveis. Créditos de serviço decorrentes de violação de SLA são a única exceção prevista."})})]}):e.jsxs(e.Fragment,{children:[e.jsx(Te,{title:"8.1 Pricing",children:e.jsxs("p",{className:"mt-2",children:["Service prices are defined in the specific contract or accepted commercial proposal. Prices may be revised with ",e.jsx("strong",{className:"text-white",children:"90 days'"})," prior notice for active contracts."]})}),e.jsx(Te,{title:"8.2 Billing",children:e.jsx("p",{className:"mt-2",children:"Unless otherwise specified in the contract, billing is monthly or annual, depending on the plan. Invoices are issued at the beginning of each billing period."})}),e.jsx(Te,{title:"8.3 Payment",children:e.jsxs("p",{className:"mt-2",children:["Payment must be made within ",e.jsx("strong",{className:"text-white",children:"30 days"})," of invoice issuance, unless otherwise agreed. Late payments may result in 1% monthly interest and a 2% penalty, plus potential service suspension after 15 days of default."]})}),e.jsx(Te,{title:"8.4 Taxes",children:e.jsx("p",{className:"mt-2",children:"Quoted prices do not include applicable taxes, fees, or charges. The Customer is responsible for all taxes on transactions, except AiQuimist.ai income taxes."})}),e.jsx(Te,{title:"8.5 Refunds",children:e.jsx("p",{className:"mt-2",children:"Unless expressly stated otherwise or required by law, paid amounts are non-refundable. Service credits arising from SLA violations are the only exception provided."})})]})}),e.jsx(Na,{id:"liability",title:o?.section9??(l?"9. Limitação de Responsabilidade":"9. Limitation of Liability"),children:l?e.jsxs(e.Fragment,{children:[e.jsxs("div",{className:"p-4 bg-amber-500/10 border border-amber-500/30 rounded-xl mb-4",children:[e.jsx("p",{className:"text-amber-300 text-xs uppercase tracking-wider font-semibold mb-2",children:"Importante — Leia com Atenção"}),e.jsx("p",{className:"text-[#B0C8D0]/85",children:"Esta seção limita significativamente os direitos legais das partes. Certifique-se de compreendê-la completamente antes de aceitar estes Termos."})]}),e.jsx(Te,{title:"9.1 Exclusão de Garantias",children:e.jsx("p",{className:"mt-2",children:'Os Serviços são fornecidos "no estado em que se encontram" e "conforme disponibilidade". A AiQuimist.ai não oferece garantias expressas ou implícitas, incluindo garantias de comercialização, adequação a uma finalidade específica ou não violação, na extensão máxima permitida pela lei aplicável.'})}),e.jsx(Te,{title:"9.2 Limite de Responsabilidade",children:e.jsxs("p",{className:"mt-2",children:["Em nenhuma hipótese a responsabilidade total da AiQuimist.ai perante você, por qualquer causa, excederá o ",e.jsx("strong",{className:"text-white",children:"valor total pago pelos Serviços nos 12 meses anteriores"})," ao evento que deu origem à reclamação."]})}),e.jsx(Te,{title:"9.3 Exclusão de Danos Indiretos",children:e.jsx("p",{className:"mt-2",children:"Em nenhuma hipótese qualquer parte será responsável por danos indiretos, incidentais, especiais, consequenciais ou exemplares, incluindo lucros cessantes, perda de dados, interrupção de negócios ou danos à reputação, mesmo que a parte tenha sido avisada da possibilidade de tais danos."})})]}):e.jsxs(e.Fragment,{children:[e.jsxs("div",{className:"p-4 bg-amber-500/10 border border-amber-500/30 rounded-xl mb-4",children:[e.jsx("p",{className:"text-amber-300 text-xs uppercase tracking-wider font-semibold mb-2",children:"Important — Read Carefully"}),e.jsx("p",{className:"text-[#B0C8D0]/85",children:"This section significantly limits the legal r

45ights of the parties. Ensure you fully understand it before accepting these Terms."})]}),e.jsx(Te,{title:"9.1 Disclaimer of Warranties",children:e.jsx("p",{className:"mt-2",children:'The Services are provided "as is" and "as available." AiQuimist.ai makes no express or implied warranties, including warranties of merchantability, fitness for a particular purpose, or non-infringement, to the maximum extent permitted by applicable law.'})}),e.jsx(Te,{title:"9.2 Liability Cap",children:e.jsxs("p",{className:"mt-2",children:["In no event shall AiQuimist.ai's total liability to you, for any cause, exceed the ",e.jsx("strong",{className:"text-white",children:"total amount paid for the Services in the 12 months preceding"})," the event giving rise to the claim."]})}),e.jsx(Te,{title:"9.3 Exclusion of Indirect Damages",children:e.jsx("p",{className:"mt-2",children:"In no event shall either party be liable for indirect, incidental, special, consequential, or exemplary damages, including lost profits, data loss, business interruption, or reputational harm, even if the party has been advised of the possibility of such damages."})})]})}),e.jsx(Na,{id:"indemnification",title:o?.section10??(l?"10. Indenização":"10. Indemnification"),children:l?e.jsx("p",{children:"Você concorda em defender, indenizar e isentar a AiQuimist.ai e seus diretores, funcionários, contratados e parceiros de quaisquer reclamações, perdas, danos, responsabilidades, custos e despesas (incluindo honorários advocatícios razoáveis) decorrentes de: (i) seu uso dos Serviços em violação a estes Termos; (ii) violação de direitos de terceiros, incluindo propriedade intelectual ou privacidade; (iii) conteúdo ou dados que você inseriu nos Serviços; (iv) sua violação de qualquer lei aplicável."}):e.jsx("p",{children:"You agree to defend, indemnify, and hold harmless AiQuimist.ai and its directors, employees, contractors, and partners from any claims, losses, damages, liabilities, costs, and expenses (including reasonable attorneys' fees) arising from: (i) your use of the Services in violation of these Terms; (ii) violation of third-party rights, including intellectual property or privacy; (iii) content or data you input into the Services; (iv) your violation of any applicable law."})}),e.jsx(Na,{id:"termination",title:o?.section11??(l?"11. Rescisão":"11. Termination"),children:l?e.jsxs(e.Fragment,{children:[e.jsx(Te,{title:"11.1 Rescisão pelo Cliente",children:e.jsxs("p",{className:"mt-2",children:["Você pode encerrar sua conta a qualquer momento mediante aviso prévio de ",e.jsx("strong",{className:"text-white",children:"30 dias"})," por escrito. Contratos anuais podem estar sujeitos a multa rescisória conforme previsto no instrumento contratual específico."]})}),e.jsx(Te,{title:"11.2 Rescisão pela AiQuimist.ai",children:e.jsx("p",{className:"mt-2",children:"Podemos suspender ou encerrar sua conta e acesso aos Serviços: (a) com aviso prévio de 30 dias por qualquer motivo; (b) imediatamente em caso de violação material destes Termos, inadimplência, uso fraudulento ou uso que coloque em risco a segurança dos Serviços ou de terceiros."})}),e.jsx(Te,{title:"11.3 Efeitos da Rescisão",children:e.jsx("p",{className:"mt-2",children:"Após a rescisão: (i) seu acesso aos Serviços será encerrado; (ii) você terá 30 dias para exportar seus dados, após os quais poderão ser excluídos; (iii) as cláusulas que por sua natureza devam sobreviver à rescisão permanecerão em vigor (incluindo PI, limitação de responsabilidade, confidencialidade e lei aplicável)."})})]}):e.jsxs(e.Fragment,{children:[e.jsx(Te,{title:"11.1 Termination by Customer",children:e.jsxs("p",{className:"mt-2",children:["You may close your account at any time with ",e.jsx("strong",{className:"text-white",children:"30 days'"})," written prior notice. Annual contracts may be subject to early termination fees as specified in the specific contract."]})}),e.jsx(Te,{title:"11.2 Termination by AiQuimist.ai",children:e.jsx("p",{className:"mt-2",children:"We may suspend or terminate your account and access to Services: (a) with 30 days' prior notice for any reason; (b) immediately in the event of material breach of these Terms, non-payment, fraudulent use, or use that endangers the security of the Services or third parties."})}),e.jsx(Te,{title:"11.3 Effects of Termination",children:e.jsx("p",{className:"mt-2",children:"After termination: (i) your access to the Services will be discontinued; (ii) you will have 30 days to export your data, after which it may be deleted; (iii) clauses that by their nature should survive termination will remain in effect (including IP, limitation of liability, confidentiality, and governing law)."})})]})}),e.jsx(Na,{id:"governing",title:o?.section12??(l?"12. Lei Aplicável e Resolução de Disputas":"12. Governing Law and Dispute Resolution"),children:l?e.jsxs(e.Fragment,{children:[e.jsxs("p",{children:["Estes Termos são regidos pelas leis do ",e.jsx("strong",{className:"text-white",children:"Estado de Delaware, Estados Unidos"}),", sem prejuízo das normas de proteção ao consumidor e proteção de dados aplicáveis em cada jurisdição onde a AiQuimist.ai opera."]}),e.jsxs("p",{className:"mt-4",children:["Para clientes brasileiros, aplicam-se adicionalmente as disposições do ",e.jsx("strong",{className:"text-white",children:"Código Civil Brasileiro, CDC"})," (quando aplicável) e ",e.jsx("strong",{className:"text-white",children:"LGPD"}),"."]}),e.jsxs("p",{className:"mt-4",children:[e.jsx("strong",{className:"text-white",children:"Resolução amigável:"})," As partes se comprometem a buscar solução amigável por meio de negociação direta por até 30 dias antes de recorrer a qualquer mecanismo formal de resolução de disputas."]}),e.jsxs("p",{className:"mt-4",children:[e.jsx("strong",{className:"text-white",children:"Arbitragem:"})," Disputas não resolvidas amigavelmente serão submetidas à arbitragem vinculante, administrada pela Câmara de Arbitragem Empresarial – Brasil (CAMARB), ou pela American Arbitration Association (AAA) para partes fora do Brasil, com sede em São Paulo (BR) ou Wilmington-DE (EUA), conforme o caso."]})]}):e.jsxs(e.Fragment,{children:[e.jsxs("p",{children:["These Terms are governed by the laws of the ",e.jsx("strong",{className:"text-white",children:"State of Delaware, United States"}),", without prejudice to consumer protection and data protection rules applicable in each jurisdiction where AiQuimist.ai operates."]}),e.jsxs("p",{className:"mt-4",children:["For Brazilian customers, the provisions of the ",e.jsx("strong",{className:"text-white",children:"Brazilian Civil Code, Consumer Defense Code"})," (where applicable), and ",e.jsx("strong",{className:"text-white",children:"LGPD"})," additionally apply."]}),e.jsxs("p",{className:"mt-4",children:[e.jsx("strong",{className:"text-white",children:"Amicable resolution:"})," The parties commit to seeking an amicable solution through direct negotiation for up to 30 days before resorting to any formal dispute resolution mechanism."]}),e.jsxs("p",{className:"mt-4",children:[e.jsx("strong",{className:"text-white",children:"Arbitration:"})," Disputes not resolved amicably will be submitted to binding arbitration, administered by the Câmara de Arbitragem Empresarial – Brasil (CAMARB), or the American Arbitration Association (AAA) for parties outside Brazil, seated in São Paulo (BR) or Wilmington, DE (USA), as applicable."]})]})}),e.jsx(Na,{id:"changes",title:o?.section13??(l?"13. Alterações nos Termos":"13. Changes to Terms"),children:l?e.jsxs(e.Fragment,{children:[e.jsx("p",{children:"Reservamo-nos o direito de modificar estes Termos a qualquer momento. Alterações materiais serão comunicadas com antecedência mínima de:"}),e.jsxs("ul",{className:"list-disc list-inside space-y-2 mt-3",children:[e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"30 dias"})," para alterações que ampliem obrigações do Cliente ou restrinjam seus direitos"]}),e.jsxs("li",{children:[e.jsx("strong",{className:"text-white",children:"10 dias"})," para outras alterações, por e-mail e/ou aviso no painel do Cliente"]})]}),e.jsx("p",{className:"mt-4",children:"O uso continuado dos Serviços após a entrada em vigor das alterações constituirá sua aceitação dos novos Termos. Se não concordar com as alterações, você poderá rescindir o contrato antes da data de vigência sem penalida

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Creado mediante prompts en lenguaje natural — sin código, sin programación.",type:"capabilities",items:[{label:"JOB (tarea)",detail:"Unidad de monitoreo que lee 1 o N cámaras/canales y actúa según condiciones definidas"},{label:"STEP (etapa)",detail:"Cada JOB se compone de múltiples etapas encadenadas; el resultado de una cámara (output) alimenta la siguiente (input)"},{label:"Múltiples fuentes por etapa",detail:"Cada STEP puede activar 1 o más cámaras y/o 1 o más canales de audio"},{label:"Encadenamiento inteligente",detail:"Dependencia cognitiva entre etapas; el flujo cambia según el resultado anterior"},{label:"Decisiones condicionales nativas",detail:"Ramificaciones, interrupción, repetición o escalado basados en resultado real"},{label:"Prompt por canal",detail:"Cada cámara o canal de audio recibe un prompt específico dentro del mismo JOB (ejecución, alerta y negativo)"},{label:"Programación",detail:"Ejecución en días y horarios programados, con duración definida o continua"},{label:"Activación/desactivación instantánea",detail:"Sin necesidad de reconfiguración"},{label:"Versionado de tareas",detail:"Historial de configuraciones y prompts"},{label:"Creación por usuarios no técnicos",detail:"Operadores sin conocimiento técnico crean JOBs completos mediante interfaz con agente inteligente"}],params:[{param:"Creación de JOBs",value:"Lenguaje natural (texto o voz) — sin código"},{param:"Encadenamiento",value:"STEP N usa resultado cognitivo del STEP N-1"},{param:"Fuentes por STEP",value:"1 o más cámaras + 1 o más canales de audio"},{param:"Programación",value:"Fecha, hora, duración y recurrencia configurables"}]},{id:"s4",title:"1.4 Capacidades de Detección y Clasificación",type:"grouped",groups:[{label:"Detección basada en video (visión computacional / multimodal)",items:["Identificación de situaciones y acciones relevantes según prompts configurados","Reconocimiento de personas de interés — watchlist con asociación automática de eventos","Conteo de personas con disparadores condicionales (más de X / menos de X / exactamente X)","Seguimiento (tracking) de 1 o múltiples individuos/vehículos a lo largo del tiempo","Seguimiento multi-cámara con reidentificación — sigue el desplazamiento entre cámaras A → N → B","Detección de desviación de ruta y violación de trayectoria esperada","Lectura de placas, carteles y contenido textual visible en la cámara","Identificación de gestos manuales configurables y gestos en lengua de señas (cuando se define en prompt)","Detección de estado emocional y lenguaje corporal de preconflicto"]}

45,{label:"Detección basada en audio (habla / sonidos / multimodal)",items:["Análisis de audio en tiempo real y grabado con transcripción (STT) cuando sea aplicable","Diarización — separación e identificación de locutores con resumen por locutor y resumen de toda la conversación","Detección de palabras clave habladas según parametrización","Detección de frases y patrones semánticos configurables","Detección de patrones de habla indicativos de ocurrencia — urgencia, conflicto, repetición","Realce de fragmentos relevantes para auditoría"]},{label:"Sistema de alertas",items:["Alerta por condición cumplida — ej.: 'grupo con X individuos detectado en el punto A'","Alerta por condición NO cumplida — ej.: 'individuo no pasó por la cámara Y en el plazo T'","Alertas con lógica de secuencia de pasos — workflow multipunto configurable","Disparadores, ventanas temporales y criterios de correlación parametrizables","Niveles de severidad, destinatarios y canales de notificación configurables","Evidencias adjuntas a las alertas — fotogramas, clips de video, segmentos de audio","Registro del ciclo de vida de la alerta — generación, envío, recepción y cierre"]}]},{id:"s5",title:"1.5 Contextualización y Generación de Evidencias",type:"capabilities",items:[{label:"Descripción contextual automática",detail:"Generada en lenguaje natural para cada evento detectado"},{label:"Metadatos estructurados",detail:"Fuente, fecha/hora, ubicación lógica, tipo de evento, severidad"},{label:"Correlación automática",detail:"Mismo individuo, misma área, mismo intervalo — entre múltiples fuentes"},{label:"Extracción de evidencias",detail:"Fotogramas, clips de video, segmentos de audio, texto reconocido"},{label:"Trazabilidad de inferencias",detail:"Logs y auditoría de todas las detecciones"},{label:"Informes operacionales",detail:"Rastro de auditoría completo"}]},{id:"s6",title:"1.6 Operación por Lenguaje Natural",desc:"Cualquier operador — sin formación técnica — crea, configura y opera JOBs completos usando texto o voz. Sin programación, scripts ni herramientas externas.",type:"capabilities",items:[{label:"Consultas en lenguaje natural",detail:"Preguntas con respuestas contextualizadas"},{label:"Comandos por texto y voz",detail:"Creación, edición y activación de tareas"},{label:"Configuración completa por prompt",detail:"Monitoreos, alertas, disparadores y destinatarios"},{label:"Controles de gobernanza",detail:"Confirmación para acciones críticas, restricciones por perfil"},{label:"Rastro de auditoría",detail:"Registro de todos los comandos y cambios"}]},{id:"s7",title:"1.7 Integraciones Externas — API y Webhook",type:"capabilities",items:[{label:"Disparo automático de webhooks",detail:"Llamadas a APIs externas basadas en condiciones definidas"},{label:"Configuración por operadores no técnicos",detail:"Mediante prompt en lenguaje natural"},{label:"Payload estructurado",detail:"Metadatos y evidencias en JSON"},{label:"Autenticación en llamadas externas",detail:"Tokens, claves, firmas y listas de permiso"},{label:"Auditoría de solicitudes",detail:"Log completo de todas las llamadas externas"},{label:"Tratamiento de fallos",detail:"Reintentos, colas y logs"},{label:"Interoperabilidad",detail:"Paneles, mensajería, sistemas de registro y gestión"}],params:[{param:"Protocolo",value:"API REST + Webhooks"},{param:"Payload",value:"JSON estructurado con metadatos, evidencias y contexto"},{param:"Autenticación",value:"Tokens, claves, firmas y listas de permiso"},{param:"Auditoría",value:"Log completo de todas las llamadas externas"}]},{id:"s8",title:"1.8 Métricas de Consumo y Gestión de Costos",type:"capabilities",items:[{label:"Métricas por JOB/STEP",detail:"Registro y disponibilización detallados"},{label:"Métricas por cámara/canal de audio",detail:"Consumo individualizado por fuente"},{label:"Métricas por usuario/perfil",detail:"Seguimiento de uso por operador"},{label:"Conteo de tokens y solicitudes",detail:"Estimación y valores reales con latencia"}

45,{label:"Costos por dimensión",detail:"JOB, cámara y usuario"},{label:"Cuotas y centros de costo",detail:"Soporte para cuotas y segregación por departamento"}]},{id:"s9",title:"1.9 Requisitos de Hardware",type:"params",params:[{param:"GPU",value:"No requerida — ninguna de las tres plataformas"},{param:"GPU (F.A.S.T.-AI)",value:"Utilizada para algunas infracciones complejas y solución SBC de prevención de accidentes en carreteras"},{param:"Hardware propietario",value:"No requerido — integra con infraestructura existente"},{param:"Cámaras",value:"Sin sustitución — compatible con cualquier equipo instalado"},{param:"SO soportado",value:"Windows (compatibilidad nativa)"},{param:"Despliegue",value:"On-premises, nube pública/privada (territorio nacional) o híbrido"},{param:"Activación",value:"Días, no meses — piloto implantable en hasta 7 días hábiles"}]},{id:"s10",title:"1.10 Seguridad de la Información, Gobernanza y Protección de Datos",type:"capabilities",items:[{label:"Control de acceso RBAC",detail:"Segregación de funciones y mínimo privilegio"},{label:"Rastros de auditoría completos",detail:"Logs de operación, comandos, cambios de configuración y prompts"},{label:"Protección de datos",detail:"En tránsito y en reposo"},{label:"Políticas de retención y eliminación",detail:"Pseudonimización/anonimización cuando sea aplicable"},{label:"Gestión de perfiles de acceso",detail:"Restricciones operacionales por nivel"},{label:"Cumplimiento GDPR/LGPD",detail:"Minimización, finalidad, necesidad y responsabilidad"},{label:"Almacenamiento de credenciales",detail:"Windows Credential Manager/DPAPI o equivalente — texto plano prohibido"}]},{id:"s11",title:"1.11 Disponibilidad y Continuidad Operacional",type:"capabilities",items:[{label:"Operación 24×7",detail:"Monitoreo continuo sin interrupción"},{label:"Recuperación automática",detail:"Reanudación tras fallos de stream sin intervención"},{label:"Resiliencia a caídas de conectividad",detail:"Reprocesamiento de contenido grabado"},{label:"Colas y reprocesamiento",detail:"Garantía de cobertura sin lagunas"},{label:"Alta disponibilidad",detail:"Redundancia, replicación y balanceo cuando estén configurados"}]},{id:"s12",title:"1.12 Integración con Red Cooperativa Privada",desc:"Capacidad exclusiva del ecosistema AiQuimist: cámaras privadas de usuarios voluntarios participan automáticamente en búsquedas públicas — sin transmitir video, sin abrir puertos de red.",type:"capabilities",items:[{label:"Distribución gratuita",detail:"Solución para Windows distribuible a usuarios privados en todo el país"},{label:"Mecanismo de emparejamiento",detail:"Código de activación, vinculación y revocación de dispositivo"},{label:"Endpoints autorizados únicamente",detail:"Solo endpoints autorizados pueden consumir o publicar datos/eventos"},{label:"Detección y notificación local",detail:"El análisis ocurre en el computador del usuario privado"},{label:"Notificación de coincidencia",detail:"Automática a la plataforma central cuando hay match con watchlist"},{label:"Alerta estructurada",detail:"Imagen del individuo con overlay, fecha/hora, cámara, dirección completa, GPS, nivel de confianza, identificador"},{label:"Algoritmos Re-ID",detail:"Reidentificación y, cuando sea aplicable y autorizado, reconocimiento facial"}

45,{label:"Participación voluntaria",detail:"El usuario decide si activa la cooperación y qué cámaras participan"},{label:"Privacidad por diseño",detail:"Sin puertos abiertos, sin streams transmitidos continuamente"},{label:"Cumplimiento integral GDPR/LGPD",detail:"Análisis local, compartición solo del resultado relevante"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"Inteligencia institucional para operaciones públicas y entornos de misión crítica",sections:[{title:"2.1 Foco y Alcance Operacional",desc:"Plataforma orientada al sector público, institucional y corporativo de alta criticidad. Opera sobre redes de cámaras de gran escala.",type:"list",items:["Municipios, gobiernos estatales y federales","Fuerzas policiales, guardias municipales y secretarías de seguridad","Centros integrados de mando y control (CIOPs)","Prisiones y unidades penitenciarias","Aeropuertos, puertos y terminales","Fronteras e infraestructura crítica nacional","Empresas públicas y grandes corporaciones privadas de operación compleja","Grandes empresas privadas: bancos, logística y otras"]},{title:"2.2 Infraestructura Exclusiva",type:"params",params:[{param:"Dónde se ejecuta",value:"Servidores propios del cliente (on-premise)"},{param:"Seguridad de datos",value:"100% interno — ninguna información expuesta a internet"},{param:"GPU",value:"No requerida"},{param:"Servidores",value:"Convencionales — dedicados a la base de datos y lectura simultánea de cámaras"},{param:"Escala",value:"Redes institucionales de gran escala — decenas a miles de cámaras"}]},{title:"2.3 Detecciones Específicas",type:"list",items:["Movimientos sospechosos en perímetros, accesos y entornos críticos","Comportamientos incompatibles con áreas sensibles","Intrusiones e intentos de acceso no autorizado","Conflictos y situaciones de violencia","Intentos de fuga en unidades de custodia","Presencia de armas","Abandono de objetos en lugares de riesgo","Cambios bruscos en patrones de comportamiento","Concentración anormal de personas en puntos críticos","Situaciones de riesgo en entornos de misión crítica — aeropuertos, fronteras, prisiones","Motor Temporal: ejecuta el prompt y el sistema continúa sin intervención humana"]},{title:"2.4 Coordinación de la Red Cooperativa",type:"list",items:["Dispara búsquedas y rastreos que se propagan por toda la malla pública y privada cooperante","Recibe notificaciones automáticas de Perceptrum cuando hay match con watchlist","Coordina operaciones integradas entre espacio público, vial (F.A.S.T.) y privado (Perceptrum)","Centraliza alertas, evidencias y rastro de seguimiento de toda la red integrada"]},{title:"2.5 Modelo Comercial",type:"params",params:[{param:"Licenciamiento",value:"Institucional — contrato con organismo público o corporación"},{param:"Despliegue",value:"On-premise en los servidores del cliente"},{param:"Soporte",value:"Onboarding y configuración incluidos"},{param:"Piloto",value:"Implantable en hasta 7 días hábiles sobre infraestructura existente"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"Inteligencia multimodal para el entorno privado — del hogar a la gran corporación",sections:[{title:"2.6 Foco y Alcance Operacional",desc:"Plataforma orientada al sector privado, comercial, residencial y condominial. Democratiza el acceso a la inteligencia de monitoreo avanzado.",type:"list",items:["Residencias y hogares","Condominios y edificios residenciales y comerciales","Pequeños y medianos comercios","Cadenas de comercio minorista y tiendas","Bancos e instituciones financieras","Centros comerciales y estacionamientos","Escuelas y universidades privadas","Hospitales y clínicas privadas","Almacenes e instalaciones logísticas","Granjas y propiedades rurales"]},{title:"2.7 Infraestructura Exclusiva",type:"params",params:[{param:"Dónde se ejecuta",value:"Computador personal del usuario (doméstico o corporativo)"},{param:"Procesador mínimo",value:"Intel i5 o superior"},{param:"GPU",value:"No requerida"},{param:"Almacenamiento",value:"Espacio en disco para imágenes temporales en análisis"},{param:"DVR/NVR",value:"Lectura nativa para búsquedas en grabaciones anteriores"},{param:"Activación",value:"Minutos — importación de cámaras mediante CSV e inicio inmediato"}]},{title:"2.8 Detecciones Específicas",type:"list",items:["Movimientos fuera de patrón en horarios o lugares inusuales","Hurtos, robos y asaltos — comportamientos típicos de sustracción","Presencia indebida en áreas restringidas","Riesgo perimetral e intentos de intrusión","Pedidos de ayuda — gestos y comportamientos de socorro","Abandono de objetos sospechosos","Anomalías operacionales en procesos (logística, inventario, entregas)","Verificación automatizada de procesos: vehículo, placa, repartidor, conteo de volúmenes","Eventos configurables por tipo de entorno — perfil de ca

45da instalación","Localiza infractor de medida de protección (órdenes de alejamiento etc.)"]},{title:"2.9 Cooperación Voluntaria (exclusivo Perceptrum)",type:"list",items:["Bandera de cooperación voluntaria — el propietario decide si activa y qué cámaras participan","Cuando está activado: la cámara participa en búsquedas emitidas por Perceptrum Corporate o F.A.S.T.-AI","Análisis ejecutado localmente — en el computador del propio usuario privado","Ningún stream de video transmitido continuamente a la central pública","Ningún puerto de red abierto externamente","Solo el resultado (match) se envía a la central — no las imágenes","La alerta incluye: imagen del individuo con overlay, fecha/hora, cámara, dirección, GPS, nivel de confianza","Participación revocable en cualquier momento por el propietario","Cumplimiento integral con GDPR/LGPD — privacidad por diseño arquitectónico"]},{title:"2.10 Modelo Comercial",type:"params",params:[{param:"Versión gratuita",value:"Funcionalidades básicas de monitoreo — sin costo, sin tarjeta de crédito"},{param:"Versión premium",value:"Acceso completo — licencia mensual accesible"},{param:"Cooperación pública",value:"Gratuita para el usuario privado — costo pagado por el organismo público por consulta"},{param:"Costo para el Estado",value:"Centavos por búsqueda — pagado solo cuando se activa la búsqueda"},{param:"Distribución",value:"Distribuible a usuarios privados en todo el país"}]}]},{id:"fast-ai",product:"F.A.S.T.-AI",color:"#00AAFF",icon:"🚦",tagline:"Inteligencia territorial, movilidad y lectura dinámica del espacio urbano",sections:[{title:"2.11 Foco y Alcance Operacional",desc:"Plataforma orientada a la movilidad, el tránsito, el ordenamiento urbano y la interpretación dinámica del territorio.",type:"list",items:["Secretarías y departamentos municipales de tránsito y movilidad","Centros de operación urbana (COUs)","Departamentos de obras y planificación urbana","Organismos de fiscalización del tránsito","Gestores de grandes eventos públicos","Concesionarias de autopistas y estacionamientos","Fuerzas de seguridad pública — rastreo de vehículos y operaciones viales"]},{title:"2.12 Infraestructura Exclusiva",type:"params",params:[{param:"Dónde se ejecuta",value:"Servidores de las empresas responsables de tránsito y ordenamiento urbano"},{param:"GPU",value:"No requerida (excepto análisis de infracciones complejas y SBC de prevención de accidentes en autopistas)"},{param:"Almacenamiento",value:"Bajo — lee directamente de NAS, DVR, NVR o streaming existente"},{param:"Fuentes compatibles",value:"Cámaras públicas de vías, semáforos, radares fijos y móviles — cualquier estándar"},{param:"Escala",value:"Red vial urbana completa — barrios, corredores, ciudades"}]},{title:"2.13 Detecciones Específicas",type:"list",items:["Infracciones de tránsito — generación automática de multas con evidencias","Accidentes y atropellos — detección y notificación inmediata","Formación de congestiones — detección temprana antes del colapso","Bloqueos y desvíos de vía","Ocupación irregular del espacio público","Eventos atípicos que afectan la movilidad urbana","Riesgos operacionales en vías y áreas estratég

45icas","Patrones de flujo, zonas críticas y recurrencias","Rastreo de vehículos sospechosos — placa, modelo, color, trayecto","Concentración y densidad de personas en vías y espacios públicos","Persecución automática si lo solicita el operador"]},{title:"2.14 Inteligencia Territorial (exclusivo F.A.S.T.-AI)",type:"list",items:["Análisis de patrones de flujo vehicular y peatonal por hora, día y zona","Identificación de zonas críticas y recurrencias de incidentes","Apoyo a decisiones de planificación vial y urbana con datos reales","Panel de gestión territorial en tiempo real para secretarios y gestores","Soporte a la gestión de grandes eventos — densidad, flujo, riesgos de tumulto","Generación de información estratégica continua sobre el comportamiento del territorio"]},{title:"2.15 Modelo Comercial",type:"params",params:[{param:"Licenciamiento",value:"Municipal / estadual — contrato con organismo público de movilidad o seguridad"},{param:"Despliegue",value:"Servidores del municipio o concesionaria — sobre infraestructura existente"},{param:"ROI directo",value:"Los ingresos generados por multas automáticas superan el costo de la plataforma"},{param:"Piloto",value:"Implantable en hasta 7 días hábiles sobre cámaras públicas existentes"}]}]}],comparison:{title:"Resumen Comparativo de las Tres Plataformas",rows:[{feature:"Foco principal",drakon:"Sector público y misión crítica",perceptrum:"Sector privado y residencial",fast:"Tránsito y ordenamiento urbano"},{feature:"Dónde se ejecuta",drakon:"Servidores del cliente (on-premise)",perceptrum:"Computador personal (i5+)",fast:"Servidores municipales/concesionaria"},{feature:"GPU requerida",drakon:"❌ No",perceptrum:"❌ No",fast:"❌ No (excepto SBC)"},{feature:"Sustitución de cámaras",drakon:"❌ No requerida",perceptrum:"❌ No requerida",fast:"❌ No requerida"},{feature:"Análisis en vivo (24/7)",drakon:"✅ Sí",perceptrum:"✅ Sí",fast:"✅ Sí"},{feature:"Posprocesamiento grabado",drakon:"✅ Sí (DVR/NVR/NAS)",perceptrum:"✅ Sí (DVR/NVR/NAS)",fast:"✅ Sí (DVR/NVR/NAS)"},{feature:"JOBs por lenguaje natural",drakon:"✅ Sí",perceptrum:"✅ Sí",fast:"✅ Sí"},{feature:"Integración API/Webhook",drakon:"✅ Sí",perceptrum:"✅ Sí",fast:"✅ Sí"},{feature:"Seguimiento multi-cámara",drakon:"✅ Sí",perceptrum:"✅ Sí",fast:"✅ Sí"},{feature:"Red cooperativa privada",drakon:"✅ Coordina búsquedas",perceptrum:"✅ Participa (voluntario)",fast:"✅ Coordina búsquedas viales"},{feature:"Versión gratuita disponible",drakon:"❌ No",perceptrum:"✅ Sí (básico)",fast:"❌ No"},{feature:"PoC disponible",drakon:"✅ Sí",perceptrum:"❌ No",fast:"✅ Sí"},{feature:"Multas automáticas",drakon:"❌ No es el foco",perceptrum:"❌ No es el foco",fast:"✅ Sí — generación automática"},{feature:"Inteligencia territorial",drakon:"Operacional institucional",perceptrum:"Operacional privada",fast:"✅ Territorial y urbana"},{feature:"Cumplimiento GDPR/LGPD",drakon:"✅ Sí",perceptrum:"✅ Sí (por diseño)",fast:"✅ Sí"},{feature:"Tiempo de activación del piloto",drakon:"Hasta 7 días hábiles",perceptrum:"Minutos",fast:"Hasta 7 días hábiles"}]}},fr:{hero:{badge:"Spécifications Techniques",title:"Specs Techniques",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"Document technique structuré pour les processus d'évaluation, d'acquisition et d'intégration. Toutes les spécifications des trois plateformes AiQuimist — fonctionnalités partagées et différenciateurs exclusifs.",part1:"PARTIE 1 — Core Specs",part1sub:"Fonctionnalités présentes sur les trois plateformes",part2:"PARTIE 2 — Specs Exclusives",part2sub:"Différenciateurs spécifiques à chaque produit",part3:"Résumé Comparatif"},copy:"Copier le tableau",copied:"Copié !",yes:"✅ Oui",no:"❌ Non",feature:"Fonctionnalité",capacity:"Capacité",detail:"Détail",param:"Paramètre",value:"Valeur",sections:[{id:"s1",title:"1.1 Moteur IA — Interprétation Multimodale Universelle",desc:"Plateforme AiQuimist qui analyse simultanément la vidéo, l'audio, le texte et l'image pour extraire le contexte réel et identifier les situations pertinentes.",type:"capabilities",items:[{label:"🎥 Vidéo",detail

45:"Analyse en temps réel des caméras en direct et des enregistrements. Reconnaît les scènes, objets, comportements, mouvements et modèles."},{label:"🔊 Audio",detail:"Détection de la parole, des mots-clés, des modèles sémantiques, du ton de voix, de l'urgence, des conflits et des sons d'intérêt configurables."},{label:"📄 Texte et Image",detail:"Téléchargement et analyse de fichiers (vidéo, image, audio, texte). Extraction de preuves, métadonnées et corrélation entre sources."},{label:"Traitement temporel natif",detail:"Analyse la fluidité du mouvement, pas seulement des images isolées"},{label:"Fenêtre de contexte massive",detail:"Maintient la mémoire de longues périodes vidéo/audio pour la corrélation d'événements"},{label:"Analyse en temps réel (en direct)",detail:"Flux de caméras et canaux audio 24×7"},{label:"Post-traitement",detail:"Mêmes critères de détection appliqués aux archives et fichiers enregistrés : NVR, DVR, NAS"},{label:"Téléchargement de fichiers numériques",detail:"Vidéo, image, audio et texte pour une analyse multimodale corrélée"},{label:"Identification de l'état émotionnel",detail:"Lecture du langage corporel, du ton de voix et des signaux comportementaux"},{label:"Abstraction des fournisseurs IA",detail:"Endpoints, identifiants et limites configurables ; changement de fournisseur avec un impact minimal"}]},{id:"s2",title:"1.2 Ingestion de Caméras et Sources",type:"mixed",items:[{label:"Compatibilité universelle",detail:"Toute caméra, quelle que soit la marque, le fabricant, le modèle ou la génération"},{label:"Analogique et numérique",detail:"Aucun remplacement de matériel requis"},{label:"Protocole principal",detail:"RTSP, ONVIF et méthodes HTTP/fichier équivalentes"},{label:"DVR / NVR / NAS",detail:"Lecture des équipements déjà installés chez le client"},{label:"Import en masse",detail:"Excel ou CSV avec métadonnées des caméras (IP, fabricant, utilisateur, mot de passe, port, etc.)"},{label:"Fonctionnement autonome",detail:"Entièrement local via réseau interne — sans exposition des flux à internet"},{label:"Sécurité réseau",detail:"Aucune ouverture de port pour l'accès distant ni configuration de tunnels/NAT"},{label:"Évolutivité",detail:"1 à N caméras/canaux audio en parallèle"},{label:"Disponibilité des flux",detail:"Surveillance et récupération automatique après les pannes"}]},{id:"s3",title:"1.3 Orchestration des Tâches — JOB / STEP",desc:"Système d'automatisation intelligent qui remplace les opérateurs humains dans les routines de surveillance. Créé via des prompts en langage naturel — sans code, sans programmation.",type:"capabilities",items:[{label:"JOB (tâche)",detail:"Unité de surveillance qui lit 1 ou N caméras/canaux et agit selon des conditions définies"},{label:"STEP (étape)",detail:"Chaque JOB est composé de plusieurs étapes enchaînées ; le résultat d'une caméra (output) alimente la suivante (input)"},{label:"Sources multiples par étape",detail:"Chaque STEP peut activer 1 ou plusieurs caméras et/ou 1 ou plusieurs canaux audio"},{label:"Chaînage intelligent",detail:"Dépendance cognitive entre les étapes ; le flux change en fonction du résultat précédent"},{label:"Décisions conditionnelles natives",detail:"Branches, interruption, répétition ou escalade basées sur le résultat réel"},{label:"Prompt par canal",detail:"Chaque caméra ou canal audio reçoit un prompt spécifique dans le même JOB (exécution, alerte et négatif)"},{label:"Planification",detail:"Exécution les jours et heures programmés, avec durée définie ou continue"},{label:"Activation/désactivation instantanée",detail:"Sans reconfiguration nécessaire"}

45,{label:"Versionnage des tâches",detail:"Historique des configurations et prompts"},{label:"Création par utilisateurs non techniques",detail:"Les opérateurs sans connaissances techniques créent des JOBs complets via l'interface avec un agent intelligent"}],params:[{param:"Création de JOBs",value:"Langage naturel (texte ou voix) — sans code"},{param:"Chaînage",value:"STEP N utilise le résultat cognitif du STEP N-1"},{param:"Sources par STEP",value:"1 ou plusieurs caméras + 1 ou plusieurs canaux audio"},{param:"Planification",value:"Date, heure, durée et récurrence configurables"}]},{id:"s4",title:"1.4 Capacités de Détection et Classification",type:"grouped",groups:[{label:"Détection basée sur la vidéo (vision par ordinateur / multimodale)",items:["Identification des situations et actions pertinentes selon les prompts configurés","Reconnaissance des personnes d'intérêt — liste de surveillance avec association automatique d'événements","Comptage de personnes avec déclencheurs conditionnels (plus de X / moins de X / exactement X)","Suivi de 1 ou plusieurs individus/véhicules dans le temps","Suivi multi-caméras avec réidentification — suit le déplacement entre caméras A → N → B","Détection d'écart de trajet et violation de trajectoire attendue","Lecture des plaques d'immatriculation, panneaux et contenu textuel visible à la caméra","Identification de gestes manuels configurables et gestes en langue des signes (quand défini dans le prompt)","Détection de l'état émotionnel et du langage corporel de pré-conflit"]},{label:"Détection basée sur l'audio (parole / sons / multimodale)",items:["Analyse audio en temps réel et enregistrée avec transcription (STT) si applicable","Diarisation — séparation et identification des locuteurs avec résumé par locuteur et résumé de la conversation entière","Détection de mots-clés prononcés selon la paramétrisation","Détection de phrases et modèles sémantiques configurables","Détection de modèles de parole indiquant des événements — urgence, conflit, répétition","Mise en évidence des extraits pertinents pour l'audit"]},{label:"Système d'alertes",items:["Alerte sur condition satisfaite — ex. : 'groupe de X individus détecté au point A'","Alerte sur condition NON satisfaite — ex. : 'individu n'a pas passé la caméra Y dans le délai T'","Alertes avec logique de séquence de passages — workflow multipoint configurable","Déclencheurs, fenêtres temporelles et critères de corrélation paramétrables","Niveaux de sévérité, destinataires et canaux de notification configurables","Preuves jointes aux alertes — images, clips vidéo, segments audio","Enregistrement du cycle de vie de l'alerte — génération, routage, réception et clôture"]}]},{id:"s5",title:"1.5 Contextualisation et Génération de Preuves",type:"capabilities",items:[{label:"Description contextuelle automatique",detail:"Générée en langage naturel pour chaque événement détecté"},{label:"Métadonnées structurées",detail:"Source, date/heure, emplacement logique, type d'événement, sévérité"},{label:"Corrélation automatique",detail:"Même individu, même zone, même intervalle — entre plusieurs sources"},{label:"Extraction de preuves",detail:"Images, clips vidéo, segments audio, texte reconnu"},{label:"Traçabilité des inférences",detail:"Journaux et audit de toutes les détections"},{label:"Rapports opérationnels",detail:"Piste d'audit complète"}]},{id:"s6",title:"1.6 Opération en Langage Naturel",desc:"Tout opérateur — sans formation technique — crée, configure et exploite des JOBs complets en utilisant le texte ou la voix. Aucune programmation, script ou outil externe.",type:"capabilities",items:[{label:"Requêtes en langage naturel",detail:"Questions avec réponses contextualisées"},{label:"Commandes par texte et voix",detail:"Création, édition et activation des tâches"},{label:"Configuration complète par prompt",detail:"Surveillances, alertes, déclencheurs et destinataires"},{label:"Contrôles de gouvernance",detail:"Confirmation pour les actions critiques, restrictions par profil"},{label:"Piste d'audit",detail:"Enregistrement de toutes les commandes et modifications"}]},{id:"s7",title:"1.7 Intégrations Externes — API et Webhook",type:"capabilities",items:[{label:"Déclenchement automatique de webhooks",detail

45:"Appels aux APIs externes basés sur des conditions définies"},{label:"Configuration par utilisateurs non techniques",detail:"Via prompt en langage naturel"},{label:"Payload structuré",detail:"Métadonnées et preuves en JSON"},{label:"Authentification des appels externes",detail:"Tokens, clés, signatures et listes de permission"},{label:"Audit des requêtes",detail:"Journal complet de tous les appels externes"},{label:"Gestion des échecs",detail:"Nouvelles tentatives, files d'attente et journaux"},{label:"Interopérabilité",detail:"Tableaux de bord, messagerie, systèmes d'enregistrement et de gestion"}],params:[{param:"Protocole",value:"API REST + Webhooks"},{param:"Payload",value:"JSON structuré avec métadonnées, preuves et contexte"},{param:"Authentification",value:"Tokens, clés, signatures et listes de permission"},{param:"Audit",value:"Journal complet de tous les appels externes"}]},{id:"s8",title:"1.8 Métriques de Consommation et Gestion des Coûts",type:"capabilities",items:[{label:"Métriques par JOB/STEP",detail:"Enregistrement et mise à disposition détaillés"},{label:"Métriques par caméra/canal audio",detail:"Consommation individualisée par source"},{label:"Métriques par utilisateur/profil",detail:"Suivi de l'utilisation par opérateur"},{label:"Comptage de tokens et requêtes",detail:"Estimations et valeurs réelles avec latence"},{label:"Coûts par dimension",detail:"JOB, caméra et utilisateur"},{label:"Quotas et centres de coûts",detail:"Support des quotas et de la ségrégation par département"}]},{id:"s9",title:"1.9 Exigences Matérielles",type:"params",params:[{param:"GPU",value:"Non requise — aucune des trois plateformes"},{param:"GPU (F.A.S.T.-AI)",value:"Utilisée pour certaines infractions complexes et solution SBC de prévention d'accidents sur autoroutes"},{param:"Matériel propriétaire",value:"Non requis — s'intègre à l'infrastructure existante"},{param:"Caméras",value:"Sans remplacement — compatible avec tout équipement installé"},{param:"OS supporté",value:"Windows (compatibilité native)"},{param:"Déploiement",value:"On-premises, cloud public/privé (territoire national) ou hybride"},{param:"Activation",value:"Jours, pas mois — pilote déployable en 7 jours ouvrables"}]},{id:"s10",title:"1.10 Sécurité de l'Information, Gouvernance et Protection des Données",type:"capabilities",items:[{label:"Contrôle d'accès RBAC",detail:"Ségrégation des fonctions et principe du moindre privilège"},{label:"Pistes d'audit complètes",detail:"Journaux d'opération, commandes, modifications de configuration et prompts"},{label:"Protection des données",detail:"En transit et au repos"},{label:"Politiques de rétention et de suppression",detail:"Pseudonymisation/anonymisation si applicable"},{label:"Gestion des profils d'accès",detail:"Restrictions opérationnelles par niveau"},{label:"Conformité RGPD/LGPD",detail:"Minimisation, finalité, nécessité et responsabilité"},{label:"Stockage des identifiants",detail:"Windows Credential Manager/DPAPI ou équivalent — texte en clair interdit"}]},{id:"s11",title:"1.11 Disponibilité et Continuité Opérationnelle",type:"capabilities",items:[{label:"Fonctionnement 24×7",detail:"Surveillance continue sans interruption"},{label:"Récupération automatique",detail:"Reprise après les pannes de flux sans intervention"},{label:"Résilience aux coupures de connectivité",detail:"Retraitement du contenu enregistré"},{label:"Files d'attente et retraitement",detail:"Garantie de couverture sans lacunes"},{label:"Haute disponibilité",detail:"Redondance, réplication et équilibrage si configurés"}]},{id:"s12",title:"1.12 Intégration avec le Réseau Coopératif Privé",desc:"Capacité exclusive de l'écosystème AiQuimist : les caméras privées d'utilisateurs volontaires participent automatiquement aux recherches publiques — sans transmettre de vidéo, sans ouvrir de ports réseau.",type:"capabilities",items:[{label:"Distribution gratuite",detail:"Solution Windows distribuable aux utilisateurs privés à l'échelle nationale"},{label:"Mécanisme d'appairage",detail:"Code d'activation, liaison et révocation d'appareil"},{label:"Endpoints autorisés uniquement",detail:"Seuls les endpoints autorisés peuvent consommer ou publier des données/événements"}

45,{label:"Détection et notification locales",detail:"L'analyse s'effectue sur l'ordinateur de l'utilisateur privé"},{label:"Notification de correspondance",detail:"Automatique à la plateforme centrale lors d'une correspondance avec la liste de surveillance"},{label:"Alerte structurée",detail:"Image de l'individu avec overlay, date/heure, caméra, adresse complète, GPS, niveau de confiance, identifiant"},{label:"Algorithmes Re-ID",detail:"Réidentification et, le cas échéant et autorisé, reconnaissance faciale"},{label:"Participation volontaire",detail:"L'utilisateur décide d'activer la coopération et quelles caméras participent"},{label:"Protection de la vie privée par conception",detail:"Aucun port ouvert, aucun flux transmis en continu"},{label:"Conformité totale RGPD/LGPD",detail:"Analyse locale, partage uniquement du résultat pertinent"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"Intelligence institutionnelle pour les opérations publiques et les environnements critiques",sections:[{title:"2.1 Focus et Périmètre Opérationnel",desc:"Plateforme destinée aux secteurs public, institutionnel et aux grandes entreprises à haute criticité. Opère sur des réseaux de caméras à grande échelle.",type:"list",items:["Municipalités, gouvernements régionaux et fédéraux","Forces de police, gardes municipaux et secrétariats à la sécurité","Centres de commandement et de contrôle intégrés (CIOPs)","Prisons et établissements pénitentiaires","Aéroports, ports et terminaux","Frontières et infrastructures critiques nationales","Entreprises publiques et grandes corporations privées à opérations complexes","Grandes entreprises privées : banques, logistique et autres"]},{title:"2.2 Infrastructure Exclusive",type:"params",params:[{param:"Fonctionne sur",value:"Serveurs propres du client (on-premise)"},{param:"Sécurité des données",value:"100% interne — aucune information exposée à internet"},{param:"GPU",value:"Non requise"},{param:"Serveurs",value:"Conventionnels — dédiés à la base de données et à la lecture simultanée des caméras"},{param:"Échelle",value:"Grands réseaux institutionnels — des dizaines à des milliers de caméras"}]},{title:"2.3 Détections Spécifiques",type:"list",items:["Mouvements suspects dans les périmètres, accès et environnements critiques","Comportements incompatibles avec les zones sensibles","Intrusions et tentatives d'accès non autorisé","Conflits et situations de violence","Tentatives d'évasion dans les unités de détention","Présence d'armes","Abandon d'objets dans des endroits à risque","Changements brusques dans les modèles comportementaux","Concentration anormale de personnes aux points critiques","Situations à risque dans les environnements critiques — aéroports, frontières, prisons","Moteur Temporel : exécute le prompt et le système continue sans intervention humaine"]},{title:"2.4 Coordination du Réseau Coopératif",type:"list",items:["Déclenche des recherches et des suivis qui se propagent à l'ensemble du maillage public et privé coopératif","Reçoit des notifications automatiques de Perceptrum lors de correspondances avec la liste de surveillance","Coordonne les opérations intégrées entre l'espace public, routier (F.A.S.T.) et privé (Perceptrum)","Centralise les alertes, preuves et piste de suivi de l'ensemble du réseau intégré"]},{title:"2.5 Modèle Commercial",type:"params",params:[{param:"Licence",value:"Institutionnelle — contrat avec un organisme public ou une corporation"},{param:"Déploiement",value:"On-premise sur les serveurs du client"},{param:"Support",value:"Onboarding et configuration inclus"},{param:"Pilote",value:"Déployable en 7 jours ouvrables sur l'infrastructure existante"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"Intelligence multimodale pour l'environnement privé — du domicile à la grande entreprise",sections:[{title:"2.6 Focus et Périmètre Opérationnel",desc:"Plateforme destinée aux secteurs privé, commercial, résidentiel et copropriété. Démocratise l'accès à l'intelligence de surveillance avancée.",type:"list",items:["Résidences et maisons","Copropriétés et immeubles résidentiels et commerciaux","Petits et moyens commerces","Chaînes de commerce de détail et magasins","Banques et institutions financières","Centres commerciaux et parkings","Écoles et universités privées","Hôpitaux et cliniques privés","Entrepôts et installations logistiques","Fermes et propriétés rurales"]}

45,{title:"2.7 Infrastructure Exclusive",type:"params",params:[{param:"Fonctionne sur",value:"Ordinateur personnel de l'utilisateur (domicile ou entreprise)"},{param:"Processeur minimum",value:"Intel i5 ou supérieur"},{param:"GPU",value:"Non requise"},{param:"Stockage",value:"Espace disque pour les images temporaires en cours d'analyse"},{param:"DVR/NVR",value:"Lecture native pour les recherches dans les enregistrements précédents"},{param:"Activation",value:"Minutes — import des caméras via CSV et démarrage immédiat"}]},{title:"2.8 Détections Spécifiques",type:"list",items:["Mouvements hors modèle à des heures ou des lieux inhabituels","Vols, cambriolages et agressions — comportements typiques de soustraction","Présence non autorisée dans les zones restreintes","Risque périmétrique et tentatives d'intrusion","Demandes d'aide — gestes et comportements de détresse","Abandon d'objets suspects","Anomalies opérationnelles dans les processus (logistique, inventaire, livraisons)","Vérification automatisée des processus : véhicule, plaque, livreur, comptage de volumes","Événements configurables par type d'environnement — profil par installation","Localise les violateurs de mesures de protection (ordonnances de protection etc.)"]},{title:"2.9 Coopération Volontaire (exclusif Perceptrum)",type:"list",items:["Indicateur de coopération volontaire — le propriétaire décide d'activer et quelles caméras participent","Quand activé : la caméra participe aux recherches émises par Perceptrum Corporate ou F.A.S.T.-AI","Analyse exécutée localement — sur l'ordinateur de l'utilisateur privé","Aucun flux vidéo transmis en continu à la centrale publique","Aucun port réseau ouvert externement","Seul le résultat (correspondance) est envoyé à la centrale — pas les images","L'alerte comprend : image de l'individu avec overlay, date/heure, caméra, adresse, GPS, niveau de confiance","Participation révocable à tout moment par le propriétaire","Conformité totale RGPD/LGPD — protection de la vie privée par conception architecturale"]},{title:"2.10 Modèle Commercial",type:"params",params:[{param:"Version gratuite",value:"Fonctionnalités de surveillance de base — sans frais, sans carte de crédit"},{param:"Version premium",value:"Accès complet — licence mensuelle abordable"},{param:"Coopération publique",value:"Gratuite pour l'utilisateur privé — coût payé par l'organisme public par consultation"},{param:"Coût pour l'État",value:"Quelques centimes par recherche — payé uniquement quand la recherche est déclenchée"},{param:"Distribution",value:"Distribuable aux utilisateurs privés à l'échelle nationale"}]}]},{id:"fast-ai",product:"F.A.S.T.-AI",color:"#00AAFF",icon:"🚦",tagline:"Intelligence territoriale, mobilité et lecture dynamique de l'espace urbain",sections:[{title:"2.11 Focus et Périmètre Opérationnel",desc:"Plateforme destinée à la mobilité, la circulation, l'aménagement urbain et l'interprétation dynamique du territoire.",type:"list",items:["Secrétariats et départements municipaux de la circulation et de la mobilité","Centres d'opérations urbaines (COUs)","Départements des travaux publics et de l'urbanisme","Organismes de contrôle de la circulation","Gestionnaires de grands événements publics","Concessionnaires d'autoroutes et de parkings","Forces de sécurité publique — suivi de véhicules et opérations routières"]},{title:"2.12 Infrastructure Exclusive",type:"params",params:[{param:"Fonctionne sur",value:"Serveurs des entreprises responsables de la circulation et de l'aménagement urbain"},{param:"GPU",value:"Non requise (sauf analyse d'infractions complexes et solution SBC de prévention d'accidents sur autoroutes)"},{param:"Stockage",value:"Faible — lit directement depuis NAS, DVR, NVR ou streaming existant"},{param:"Sources compatibles",value:"Caméras publiques de voirie, feux de circulation, radars fixes et mobiles — tout standard"},{param:"Échelle",value:"Réseau routier urbain complet — quartiers, corridors, villes"}]},{title:"2.13 Détections Spécifiques",type:"list",items:["Infractions routières — génération automatique d'amendes avec preuves","Accidents et renversements de piétons — détection et notification immédiate","Formation d'embouteillages — détection précoce avant le blocage","Blocages et déviations de voies","Occupation irrégulière de l'espace public","Événements atypiques affectant la mobilité urbaine","Risques opérationnels sur les routes et zones stratég

45iques","Modèles de flux, zones critiques et récurrences","Suivi de véhicules suspects — plaque, modèle, couleur, trajet","Concentration et densité de personnes sur les routes et espaces publics","Poursuite automatique si demandée par l'opérateur"]},{title:"2.14 Intelligence Territoriale (exclusif F.A.S.T.-AI)",type:"list",items:["Analyse des modèles de flux vehiculaire et piétonnier par heure, jour et zone","Identification des zones critiques et récurrences d'incidents","Aide aux décisions d'urbanisme et de planification routière avec données réelles","Tableau de bord de gestion territoriale en temps réel pour les élus et gestionnaires","Support à la gestion de grands événements — densité, flux, risques d'émeute","Génération d'informations stratégiques continues sur le comportement du territoire"]},{title:"2.15 Modèle Commercial",type:"params",params:[{param:"Licence",value:"Municipale / régionale — contrat avec un organisme public de mobilité ou de sécurité"},{param:"Déploiement",value:"Serveurs de la mairie ou du concessionnaire — sur infrastructure existante"},{param:"ROI direct",value:"Les revenus générés par les amendes automatiques dépassent le coût de la plateforme"},{param:"Pilote",value:"Déployable en 7 jours ouvrables sur les caméras publiques existantes"}]}]}],comparison:{title:"Résumé Comparatif des Trois Plateformes",rows:[{feature:"Focus principal",drakon:"Secteur public et mission critique",perceptrum:"Secteur privé et résidentiel",fast:"Circulation et aménagement urbain"},{feature:"Fonctionne sur",drakon:"Serveurs du client (on-premise)",perceptrum:"Ordinateur personnel (i5+)",fast:"Serveurs municipaux/concessionnaire"},{feature:"GPU requise",drakon:"❌ Non",perceptrum:"❌ Non",fast:"❌ Non (sauf SBC)"},{feature:"Remplacement des caméras",drakon:"❌ Non requis",perceptrum:"❌ Non requis",fast:"❌ Non requis"},{feature:"Analyse en direct (24/7)",drakon:"✅ Oui",perceptrum:"✅ Oui",fast:"✅ Oui"},{feature:"Post-traitement enregistré",drakon:"✅ Oui (DVR/NVR/NAS)",perceptrum:"✅ Oui (DVR/NVR/NAS)",fast:"✅ Oui (DVR/NVR/NAS)"},{feature:"JOBs par langage naturel",drakon:"✅ Oui",perceptrum:"✅ Oui",fast:"✅ Oui"},{feature:"Intégration API/Webhook",drakon:"✅ Oui",perceptrum:"✅ Oui",fast:"✅ Oui"},{feature:"Suivi multi-caméras",drakon:"✅ Oui",perceptrum:"✅ Oui",fast:"✅ Oui"},{feature:"Réseau coopératif privé",drakon:"✅ Coordonne les recherches",perceptrum:"✅ Participe (volontaire)",fast:"✅ Coordonne les recherches routières"},{feature:"Version gratuite disponible",drakon:"❌ Non",perceptrum:"✅ Oui (basique)",fast:"❌ Non"},{feature:"PoC disponible",drakon:"✅ Oui",perceptrum:"❌ Non",fast:"✅ Oui"},{feature:"Amendes automatiques",drakon:"❌ Pas le focus",perceptrum:"❌ Pas le focus",fast:"✅ Oui — génération automatique"},{feature:"Intelligence territoriale",drakon:"Opérationnel institutionnel",perceptrum:"Opérationnel privé",fast:"✅ Territorial et urbain"},{feature:"Conformité RGPD/LGPD",drakon:"✅ Oui",perceptrum:"✅ Oui (par conception)",fast:"✅ Oui"},{feature:"Délai d'activation du pilote",drakon:"Jusqu'à 7 jours ouvrables",perceptrum:"Minutes",fast:"Jusqu'à 7 jours ouvrables"}]}},de:{hero:{badge:"Technische Spezifikationen",title:"Technische Specs",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"Strukturiertes technisches Dokument für Evaluierungs-, Beschaffungs- und Integrationsprozesse. Alle Spezifikationen der drei AiQuimist-Plattformen — gemeinsame Funktionen und exklusive Unterscheidungsmerkmale.",part1:"TEIL 1 — Core Specs",part1sub:"Funktionen, die auf allen drei Plattformen vorhanden sind",part2:"TEIL 2 — Exklusive Specs",part2sub:"Plattformspezifische Merkmale und Differenzierungsmerkmale",part3:"Vergleichsübersicht"},copy:"Tabelle kopieren",copied:"Kopiert!",yes:"✅ Ja",no:"❌ Nein",feature:"Merkmal",capacity:"Fähigkeit",detail:"Details",param:"Parameter",value:"Wert",sections:[{id:"s1",title:"1.1 KI-Engine — Universelle Multimodale Interpretation",desc:"AiQuimist-Plattform, die gleichzeitig Video, Audio, Text und Bild analysiert, um echten Kontext zu extrahieren und relevante Situationen zu identifizieren.",type:"capabilities",items:[{label:"🎥 Video",detail

45:"Echtzeit-Analyse von Live-Kameras und Aufzeichnungen. Erkennt Szenen, Objekte, Verhaltensweisen, Bewegungen und Muster."},{label:"🔊 Audio",detail:"Erkennung von Sprache, Schlüsselwörtern, semantischen Mustern, Tonlage, Dringlichkeit, Konflikten und konfigurierbaren Interessenssignalen."},{label:"📄 Text & Bild",detail:"Upload und Analyse von Dateien (Video, Bild, Audio, Text). Beweisextraktion, Metadaten und quellenübergreifende Korrelation."},{label:"Natives temporales Processing",detail:"Analysiert Bewegungsflüssigkeit, nicht nur einzelne Frames"},{label:"Massives Kontextfenster",detail:"Behält Gedächtnis langer Video-/Audioperioden für die Ereigniskorrelation"},{label:"Echtzeit-Analyse (Live)",detail:"Kamera-Streams und Audiokanäle 24×7"},{label:"Nachbearbeitung",detail:"Gleiche Erkennungskriterien auf Archive und aufgezeichnete Dateien angewendet: NVR, DVR, NAS"},{label:"Digitaler Datei-Upload",detail:"Video, Bild, Audio und Text für korrelierte multimodale Analyse"},{label:"Emotionszustandserkennung",detail:"Lesen von Körpersprache, Tonlage und Verhaltenssignalen"},{label:"KI-Provider-Abstraktion",detail:"Konfigurierbare Endpunkte, Anmeldedaten und Limits; Provider-Wechsel mit minimalem Aufwand"}]},{id:"s2",title:"1.2 Kamera- und Quellenerfassung",type:"mixed",items:[{label:"Universelle Kompatibilität",detail:"Jede Kamera unabhängig von Marke, Hersteller, Modell oder Generation"},{label:"Analog und digital",detail:"Kein Hardwareaustausch erforderlich"},{label:"Hauptprotokoll",detail:"RTSP, ONVIF und gleichwertige HTTP/Datei-Methoden"},{label:"DVR / NVR / NAS",detail:"Liest bereits beim Kunden installierte Geräte"},{label:"Massenimport",detail:"Excel oder CSV mit Kamera-Metadaten (IP, Hersteller, Benutzer, Passwort, Port usw.)"},{label:"Eigenständiger Betrieb",detail:"Vollständig lokal über internes Netzwerk — keine Stream-Exposition ins Internet"},{label:"Netzwerksicherheit",detail:"Keine offenen Ports für Fernzugriff oder NAT/Tunnel-Konfigurationen"},{label:"Skalierbarkeit",detail:"1 bis N Kameras/Audiokanäle parallel"},{label:"Stream-Verfügbarkeit",detail:"Überwachung und automatische Wiederherstellung nach Ausfällen"}]},{id:"s3",title:"1.3 Aufgaben-Orchestrierung — JOB / STEP",desc:"Intelligentes Automatisierungssystem, das menschliche Operatoren in Überwachungsroutinen ersetzt. Erstellt durch Prompts in natürlicher Sprache — kein Code, keine Programmierung.",type:"capabilities",items:[{label:"JOB (Aufgabe)",detail:"Überwachungseinheit, die 1 oder N Kameras/Kanäle liest und unter definierten Bedingungen handelt"},{label:"STEP (Schritt)",detail:"Jeder JOB besteht aus mehreren verketteten Schritten; das Ergebnis einer Kamera (Output) speist den nächsten (Input)"},{label:"Mehrere Quellen pro Schritt",detail:"Jeder STEP kann 1 oder mehr Kameras und/oder 1 oder mehr Audiokanäle aktivieren"},{label:"Intelligente Verkettung",detail:"Kognitive Abhängigkeit zwischen Schritten; Fluss ändert sich basierend auf dem vorherigen Ergebnis"},{label:"Native bedingte Entscheidungen",detail:"Verzweigungen, Unterbrechung, Wiederholung oder Eskalation basierend auf dem tatsächlichen Ergebnis"},{label:"Prompt pro Kanal",detail:"Jede Kamera oder jeder Audiokanal erhält einen spezifischen Prompt innerhalb desselben JOBs (Ausführung, Alarm und Negativ)"},{label:"Planung",detail:"Ausführung an geplanten Tagen und Zeiten, mit definierter oder kontinuierlicher Dauer"},{label:"Sofortige Aktivierung/Deaktivierung",detail:"Keine Neukonfiguration erforderlich"},{label:"Aufgaben-Versionierung",detail:"Verlauf von Konfigurationen und Prompts"},{label:"Erstellung durch Nicht-Techniker",detail:"Operatoren ohne technisches Wissen erstellen vollständige JOBs über die Schnittstelle mit intelligentem Agenten"}],params:[{param:"JOB-Erstellung",value:"Natürliche Sprache (Text oder Sprache) — kein Code"},{param:"Verkettung",value:"STEP N verwendet kognitives Ergebnis von STEP N-1"},{param:"Quellen pro STEP",value:"1 oder mehr Kameras + 1 oder mehr Audiokanäle"},{param:"Planung",value:"Datum, Uhrzeit, Dauer und Wiederholung konfigurierbar"}]},{id:"s4",title:"1.4 Erkennungs- und Klassifizierungsfähigkeiten",type:"grouped",groups:[{label:"Videobasierte Erkennung (Computer Vision / Multimodal)",items:["Identifizierung relevanter Situationen und Aktionen gemäß konfigurierten Prompts","Erkennung von Personen von Interesse — Beobachtungsliste mit automatischer Ereigniszuordnung","Personenzählung mit bedingten Auslösern (mehr als X / weniger als X / genau X)","Verfolgung von 1 oder mehreren Personen/Fahrzeugen im Laufe der Zeit","Multi-Kamera-Verfolgung mit Wiedererkennung — verfolgt Bewegung zwischen Kameras A → N → B","Erkennung von Routenabweichungen und Verletzung der erwarteten Trajektorie","Lesen von Kennzeichen, Schildern und sichtbarem Textinhalt in der Kamera","Erkennung konfigurierbarer Handgesten und Gebärdensprachgesten (wenn im Prompt definiert)","Erkennung von Emotionszustand und Vorkonflikt-Körpersprache"]},{label:"Audiobasierte Erkennung (Sprache / Töne / Multimodal)",items:["Echtzeit- und aufgezeichnete Audioanalyse mit Transkription (STT) wenn zutreffend","Diarisierung — Sprechertrennung und 

45-identifikation mit Zusammenfassung je Sprecher und Gesamtgesprächszusammenfassung","Erkennung gesprochener Schlüsselwörter gemäß Parametrisierung","Erkennung konfigurierbarer Sätze und semantischer Muster","Erkennung von Sprachmustern, die auf Ereignisse hinweisen — Dringlichkeit, Konflikt, Wiederholung","Hervorhebung relevanter Ausschnitte für die Prüfung"]},{label:"Alarmsystem",items:["Alarm bei erfüllter Bedingung — z.B.: 'Gruppe mit X Personen an Punkt A erkannt'","Alarm bei NICHT erfüllter Bedingung — z.B.: 'Person hat Kamera Y nicht innerhalb des Zeitrahmens T passiert'","Alarme mit Passiersequenz-Logik — konfigurierbarer Mehrpunkt-Workflow","Konfigurierbare Auslöser, Zeitfenster und Korrelationskriterien","Konfigurierbare Schweregrade, Empfänger und Benachrichtigungskanäle","Beweise, die an Alarme angehängt sind — Frames, Videoclips, Audiosegmente","Alarmlebenszyklus-Aufzeichnung — Erzeugung, Weiterleitung, Empfang und Abschluss"]}]},{id:"s5",title:"1.5 Kontextualisierung und Beweiserzeugung",type:"capabilities",items:[{label:"Automatische Kontextbeschreibung",detail:"In natürlicher Sprache für jedes erkannte Ereignis generiert"},{label:"Strukturierte Metadaten",detail:"Quelle, Datum/Uhrzeit, logischer Standort, Ereignistyp, Schweregrad"},{label:"Automatische Korrelation",detail:"Gleiche Person, gleiche Fläche, gleicher Zeitraum — über mehrere Quellen"},{label:"Beweisextraktion",detail:"Frames, Videoclips, Audiosegmente, erkannter Text"},{label:"Inferenz-Rückverfolgbarkeit",detail:"Protokolle und Prüfung aller Erkennungen"},{label:"Betriebsberichte",detail:"Vollständiger Prüfpfad"}]},{id:"s6",title:"1.6 Natürlichsprachiger Betrieb",desc:"Jeder Operator — ohne technische Ausbildung — erstellt, konfiguriert und betreibt vollständige JOBs mit Text oder Sprache. Keine Programmierung, Skripte oder externe Tools.",type:"capabilities",items:[{label:"Natürlichsprachige Abfragen",detail:"Fragen mit kontextualisierten Antworten"},{label:"Text- und Sprachbefehle",detail:"Erstellung, Bearbeitung und Aktivierung von Aufgaben"},{label:"Vollständige Konfiguration per Prompt",detail:"Überwachung, Alarme, Auslöser und Empfänger"},{label:"Governance-Kontrollen",detail:"Bestätigung für kritische Aktionen, profilbasierte Einschränkungen"},{label:"Prüfpfad",detail:"Aufzeichnung aller Befehle und Änderungen"}]},{id:"s7",title:"1.7 Externe Integrationen — API und Webhook",type:"capabilities",items:[{label:"Automatisches Webhook-Auslösen",detail:"Externe API-Aufrufe basierend auf definierten Bedingungen"},{label:"Konfiguration durch Nicht-Techniker",detail:"Per natürlichsprachigem Prompt"}

45,{label:"Strukturierter Payload",detail:"Metadaten und Beweise in JSON"},{label:"Authentifizierung externer Aufrufe",detail:"Tokens, Schlüssel, Signaturen und Berechtigungslisten"},{label:"Anfragen-Prüfung",detail:"Vollständiges Protokoll aller externen Aufrufe"},{label:"Fehlerbehandlung",detail:"Wiederholungsversuche, Warteschlangen und Protokolle"},{label:"Interoperabilität",detail:"Dashboards, Messaging, Registrierungs- und Verwaltungssysteme"}],params:[{param:"Protokoll",value:"REST API + Webhooks"},{param:"Payload",value:"Strukturiertes JSON mit Metadaten, Beweisen und Kontext"},{param:"Authentifizierung",value:"Tokens, Schlüssel, Signaturen und Berechtigungslisten"},{param:"Prüfung",value:"Vollständiges Protokoll aller externen Aufrufe"}]},{id:"s8",title:"1.8 Verbrauchsmetriken und Kostenmanagement",type:"capabilities",items:[{label:"Metriken pro JOB/STEP",detail:"Detaillierte Aufzeichnung und Bereitstellung"},{label:"Metriken pro Kamera/Audiokanal",detail:"Individualisierter Verbrauch pro Quelle"},{label:"Metriken pro Benutzer/Profil",detail:"Nutzungsverfolgung pro Operator"},{label:"Token- und Anfragenzählung",detail:"Schätzungen und tatsächliche Werte mit Latenz"},{label:"Kosten nach Dimension",detail:"JOB, Kamera und Benutzer"},{label:"Kontingente und Kostenstellen",detail:"Unterstützung für Kontingente und Abteilungssegregation"}]},{id:"s9",title:"1.9 Hardwareanforderungen",type:"params",params:[{param:"GPU",value:"Nicht erforderlich — keine der drei Plattformen"},{param:"GPU (F.A.S.T.-AI)",value:"Wird für einige komplexe Verstöße und SBC-Unfallpräventionslösung auf Autobahnen verwendet"},{param:"Proprietäre Hardware",value:"Nicht erforderlich — integriert sich in bestehende Infrastruktur"},{param:"Kameras",value:"Kein Austausch — kompatibel mit jeder installierten Ausrüstung"},{param:"Unterstütztes BS",value:"Windows (native Kompatibilität)"},{param:"Bereitstellung",value:"On-premises, öffentliche/private Cloud (nationales Territorium) oder Hybrid"},{param:"Aktivierung",value:"Tage, nicht Monate — Pilot in 7 Werktagen einsetzbar"}]},{id:"s10",title:"1.10 Informationssicherheit, Governance und Datenschutz",type:"capabilities",items:[{label:"RBAC-Zugriffskontrolle",detail:"Funktionstrennung und geringstes Privileg"},{label:"Vollständige Prüfpfade",detail:"Betriebsprotokolle, Befehle, Konfigurationsänderungen und Prompts"},{label:"Datenschutz",detail:"Bei der Übertragung und im Ruhezustand"},{label:"Aufbewahrungs- und Löschrichtlinien",detail:"Pseudonymisierung/Anonymisierung wenn zutreffend"},{label:"Zugriffsprofilmanagement",detail:"Betriebliche Einschränkungen nach Ebene"},{label:"DSGVO/LGPD-Konformität",detail:"Minimierung, Zweck, Notwendigkeit und Rechenschaftspflicht"},{label:"Anmeldedaten-Speicherung",detail:"Windows Credential Manager/DPAPI oder gleichwertig — Klartextspeicherung verboten"}]},{id:"s11",title:"1.11 Verfügbarkeit und Betriebskontinuität",type:"capabilities",items:[{label:"24×7-Betrieb",detail:"Kontinuierliche Überwachung ohne Unterbrechung"},{label:"Automatische Wiederherstellung",detail:"Stream-Ausfallwiederaufnahme ohne Eingriff"},{label:"Konnektivitätsausfall-Resilienz",detail:"Wiederverarbeitung aufgezeichneter Inhalte"},{label:"Warteschlangen und Wiederverarbeitung",detail:"Abdeckungsgarantie ohne Lücken"},{label:"Hohe Verfügbarkeit",detail:"Redundanz, Replikation und Lastausgleich wenn konfiguriert"}]},{id:"s12",title:"1.12 Integration mit Privatem Kooperationsnetzwerk",desc:"Exklusive Fähigkeit des AiQuimist-Ökosystems: Private Kameras freiwilliger Nutzer nehmen automatisch an öffentlichen Suchen teil — ohne Video zu übertragen, ohne Netzwerkports zu öffnen.",type:"capabilities",items:[{label:"Kostenlose Verteilung",detail:"Windows-Lösung, die landesweit an private Nutzer verteilbar ist"},{label:"Kopplungsmechanismus",detail:"Aktivierungscode, Geräteverknüpfung und -widerruf"},{label:"Nur autorisierte Endpunkte",detail:"Nur autorisierte Endpunkte können Daten/Ereignisse konsumieren oder veröffentlichen"},{label:"Lokale Erkennung und Benachrichtigung",detail:"Analyse läuft auf dem Computer des privaten Nutzers"},{label:"Treffer-Benachrichtigung",detail:"Automatisch an die zentrale Plattform bei einem Beobachtungslisten-Treffer"},{label:"Strukturierter Alarm",detail:"Personenbild mit Overlay, Datum/Uhrzeit, Kamera, vollständige Adresse, GPS, Konfidenzniveau, Kennung"}

45,{label:"Re-ID-Algorithmen",detail:"Wiedererkennung und, wenn zutreffend und autorisiert, Gesichtserkennung"},{label:"Freiwillige Teilnahme",detail:"Benutzer entscheidet über Aktivierung der Kooperation und welche Kameras teilnehmen"},{label:"Privacy by Design",detail:"Keine offenen Ports, keine kontinuierlich übertragenen Streams"},{label:"Vollständige DSGVO/LGPD-Konformität",detail:"Lokale Analyse, Teilen nur des relevanten Ergebnisses"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"Institutionelle Intelligenz für öffentliche Operationen und unternehmenskritische Umgebungen",sections:[{title:"2.1 Fokus und Betriebsumfang",desc:"Plattform für den öffentlichen, institutionellen und hochkritischen Unternehmenssektor. Betreibt große Kameranetzwerke.",type:"list",items:["Gemeinden, Landes- und Bundesregierungen","Polizeikräfte, Stadtschutz und Sicherheitsbehörden","Integrierte Leitstellen und Lagezentren (CIOPs)","Gefängnisse und Strafvollzugsanstalten","Flughäfen, Häfen und Terminals","Grenzen und nationale kritische Infrastruktur","Öffentliche Unternehmen und große private Konzerne mit komplexen Betrieben","Große Privatunternehmen: Banken, Logistik und andere"]},{title:"2.2 Exklusive Infrastruktur",type:"params",params:[{param:"Läuft auf",value:"Eigenen Servern des Kunden (On-Premise)"},{param:"Datensicherheit",value:"100% intern — keine Information dem Internet ausgesetzt"},{param:"GPU",value:"Nicht erforderlich"},{param:"Server",value:"Konventionell — dediziert für Datenbank und simultane Kameraerfassung"},{param:"Skalierung",value:"Große institutionelle Netzwerke — Dutzende bis Tausende von Kameras"}]},{title:"2.3 Spezifische Erkennungen",type:"list",items:["Verdächtige Bewegungen an Perimetern, Zugängen und kritischen Umgebungen","Verhaltensweisen, die mit sensiblen Bereichen unvereinbar sind","Einbrüche und unbefugte Zugriffsversuche","Konflikte und Gewaltsituationen","Fluchtversuche in Verwahranstalten","Anwesenheit von Waffen","Zurückgelassene Objekte an Risikoorten","Plötzliche Verhaltensänderungen","Abnormale Menschenansammlungen an kritischen Punkten","Risikosituationen in unternehmenskritischen Umgebungen — Flughäfen, Grenzen, Gefängnisse","Temporale Engine: führt Prompt aus und das System läuft ohne menschliches Eingreifen weiter"]},{title:"2.4 Kooperationsnetzwerk-Koordination",type:"list",items:["Löst Suchen und Verfolgungen aus, die sich über das gesamte öffentliche und kooperative private Netzwerk ausbreiten","Empfängt automatische Benachrichtigungen von Perceptrum bei Beobachtungslisten-Treffern","Koordiniert integrierte Operationen zwischen öffentlichem, Verkehrs- (F.A.S.T.) und privatem (Perceptrum) Raum","Zentralisiert Alarme, Beweise und Verfolgungspfad des gesamten integrierten Netzwerks"]},{title:"2.5 Geschäftsmodell",type:"params",params:[{param:"Lizenzierung",value:"Institutionell — Vertrag mit Behörde oder Konzern"},{param:"Bereitstellung",value:"On-Premise auf den Servern des Kunden"},{param:"Support",value:"Onboarding und Konfiguration inbegriffen"},{param:"Pilot",value:"In 7 Werktagen auf bestehender Infrastruktur einsetzbar"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"Multimodale Intelligenz für private Umgebungen — vom Zuhause bis zum Großkonzern",sections:[{title:"2.6 Fokus und Betriebsumfang",desc:"Plattform für den privaten, kommerziellen, wohn- und wohnanlageorientierten Sektor. Demokratisiert den Zugang zu fortschrittlicher Überwachungsintelligenz.",type:"list",items:["Wohnhäuser und Eigenheime","Wohn- und Geschäftshäuser und Wohnanlagen","Klein- und Mittelunternehmen","Einzelhandelsketten und Geschäfte","Banken und Finanzinstitutionen","Einkaufszentren und Parkplätze","Private Schulen und Universitäten","Private Krankenhäuser und Kliniken","Lager und Logistikzentren","Bauernhöfe und ländliche Grundstücke"]},{title:"2.7 Exklusive Infrastruktur",type:"params",params:[{param:"Läuft auf",value:"Persönlichem Computer des Benutzers (Zuhause oder Unternehmen)"},{param:"Mindestprozessor",value:"Intel i5 oder besser"},{param:"GPU",value:"Nicht erforderlich"},{param:"Speicher",value:"Festplattenspeicher für temporäre Bilder in Analyse"},{param:"DVR/NVR",value:"Native Erfassung für Suchen in früheren Aufzeichnungen"},{param:"Aktivierung",value:"Minuten — Kamera-Import via CSV und sofortiger Start"}]},{title:"2.8 Spezifische Erkennungen",type:"list",items:["Musterwidrige Bewegungen zu ungewöhnlichen Zeiten oder Orten","Diebstahl, Raub und Überfall — typische Subtraktionsverhaltensweisen","Unbefugte Anwesenheit in eingeschränkten Bereichen","Perimeterschutzrisiko und Einbruchsversuche","Hilferufe — Notfallgesten und -verhaltensweisen","Zurückgelassene verdächtige Ob

45jekte","Betriebliche Anomalien in Prozessen (Logistik, Inventar, Lieferungen)","Automatisierte Prozessüberprüfung: Fahrzeug, Kennzeichen, Lieferant, Volumenzählung","Konfigurierbare Ereignisse nach Umgebungstyp — Profil pro Installation","Lokalisiert Verstöße gegen Schutzanordnungen (häusliche Gewalt etc.)"]},{title:"2.9 Freiwillige Kooperation (exklusiv Perceptrum)",type:"list",items:["Freiwilliges Kooperations-Flag — Eigentümer entscheidet über Aktivierung und welche Kameras teilnehmen","Bei Aktivierung: Kamera nimmt an von Perceptrum Corporate oder F.A.S.T.-AI ausgelösten Suchen teil","Analyse lokal ausgeführt — auf dem eigenen Computer des privaten Nutzers","Kein kontinuierlich übertragener Video-Stream an die öffentliche Zentrale","Keine extern geöffneten Netzwerkports","Nur das Ergebnis (Treffer) wird an die Zentrale gesendet — nicht die Bilder","Alarm umfasst: Personenbild mit Overlay, Datum/Uhrzeit, Kamera, Adresse, GPS, Konfidenzniveau","Teilnahme jederzeit durch den Eigentümer widerrufbar","Vollständige DSGVO/LGPD-Konformität — Datenschutz durch architektonisches Design"]},{title:"2.10 Geschäftsmodell",type:"params",params:[{param:"Kostenlose Version",value:"Grundlegende Überwachungsfunktionen — kostenlos, keine Kreditkarte"},{param:"Premium-Version",value:"Vollzugang — erschwingliche monatliche Lizenz"},{param:"Öffentliche Kooperation",value:"Kostenlos für den privaten Nutzer — Kosten vom öffentlichen Amt pro Anfrage bezahlt"},{param:"Kosten für den Staat",value:"Cents pro Suche — nur bezahlt, wenn die Suche ausgelöst wird"},{param:"Verteilung",value:"Bundesweit an private Nutzer verteilbar"}]}]},{id:"fast-ai",product:"F.A.S.T.-AI",color:"#00AAFF",icon:"🚦",tagline:"Territoriale Intelligenz, Mobilität und dynamische Erfassung des städtischen Raums",sections:[{title:"2.11 Fokus und Betriebsumfang",desc:"Plattform für Mobilität, Verkehr, Stadtplanung und dynamische territoriale Interpretation.",type:"list",items:["Städtische Verkehrs- und Mobilitätsabteilungen","Städtische Betriebszentren (COUs)","Tiefbau- und Stadtplanungsabteilungen","Verkehrsüberwachungsbehörden","Veranstalter großer öffentlicher Ereignisse","Autobahn- und Parkkonzessionäre","Öffentliche Sicherheitskräfte — Fahrzeugverfolgung und Straßenoperationen"]},{title:"2.12 Exklusive Infrastruktur",type:"params",params:[{param:"Läuft auf",value:"Servern der für Verkehr und Stadtplanung zuständigen Unternehmen"},{param:"GPU",value:"Nicht erforderlich (außer komplexe Verstoßanalyse und SBC-Unfallprävention auf Autobahnen)"},{param:"Speicher",value:"Gering — liest direkt aus NAS, DVR, NVR oder bestehendem Streaming"},{param:"Kompatible Quellen",value:"Öffentliche Straßenkameras, Ampeln, feste und mobile Radare — jeder Standard"},{param:"Skalierung",value:"Vollständiges städtisches Straßennetzwerk — Stadtteile, Korridore, Städte"}]},{title:"2.13 Spezifische Erkennungen",type:"list",items:["Verkehrsverstöße — automatische Bußgelderzeugung mit Beweisen","Unfälle und Fußgängerunfälle — Erkennung und sofortige Benachrichtigung","Staubildung — Früherkennung vor dem Kollaps","Straßensperrungen und Umleitungen","Unregelmäßige Nutzung des öffentlichen Raums","Atypische Ereignisse, die die städtische Mobilität beeinflussen","Betriebliche Risiken auf Straßen und strategischen Bereichen","Flussmuster, kritische Zonen und Wiederholungen","Verfolgung verdächtiger Fahrzeuge — Kennzeichen, Modell, Farbe, Route","Personenkonzentration und -dichte auf Straßen und öffentlichen Plätzen","Automatische Verfolgung auf Anforderung des Operators"]},{title:"2.14 Territoriale Intelligenz (exklusiv F.A.S.T.-AI)",type:"list",items:["Analyse von Fahrzeug- und Fußgängerflussmustern nach Zeit, Tag und Zone","Identifizierung kritischer Zonen und Vorfallwiederholungen","Unterstützung für Straßen- und Stadtplanungsentscheidungen mit echten Daten","Echtzeit-Dashboard für territoriales Management für Minister und Manager","Unterstützung für Großveranstaltungsmanagement — Dichte, Fluss, Aufruhrrisiken","Kontinuierliche strategische Informationserzeugung über das territoriale Verhalten"]},{title:"2.15 Geschäftsmodell",type:"params",params:[{param:"Lizenzierung",value:"Kommunal / Land — Vertrag mit öffentlicher Mobilitäts- oder Sicherheitsbehörde"},{param:"Bereitstellung",value:"Rathaus- oder Konzessionärserver — auf bestehender Infrastruktur"},{param:"Direkter ROI",value:"Einnahmen aus automatischen Bußgeldern übersteigen die Plattformkosten"},{param:"Pilot",value:"In 7 Werktagen auf bestehenden öffentlichen Kameras einsetzbar"}]}]}],comparison:{title:"Vergleichsübersicht der Drei Plattformen",rows:[{feature:"Hauptfokus",drakon:"Öffentlicher Sektor und unternehmenskritisch",perceptrum:"Privat- und Wohnsektor",fast:"Verkehr und Stadtplanung"},{feature:"Läuft auf",drakon:"Kundeneigene Server (On-Premise)",perceptrum:"Persönlicher Computer (i5+)",fast:"Kommunal-/Konzessionärserver"},{feature:"GPU erforderlich",drakon:"❌ Nein",perceptrum:"❌ Nein",fast:"❌ Nein (außer SBC)"},{feature:"Kameraersatz",drakon:"❌ Nicht erforderlich",perceptrum:"❌ Nicht erforderlich",fast:"❌ Nicht erforderlich"},{feature:"Live-Analyse (24/7)",drakon:"✅ Ja",perceptrum:"✅ Ja",fast:"✅ Ja"},{feature:"Aufgezeichnete Nachbearbeitung",drakon:"✅ Ja (DVR/NVR/NAS)",perceptrum:"✅ Ja (DVR/NVR/NAS)",fast:"✅ Ja (DVR/NVR/NAS)"},{feature:"JOBs per natürlicher Sprache",drakon:"✅ Ja",perceptrum:"✅ Ja",fast:"✅ Ja"},{feature:"API/Webhook-Integration",drakon:"✅ Ja",perceptrum:"✅ Ja",fast:"✅ Ja"},{feature:"Multi-Kamera-Verfolgung",drakon:"✅ Ja",perceptrum:"✅ Ja",fast:"✅ Ja"},{feature:"Privates Kooperationsnetzwerk",drakon:"✅ Koordiniert Suchen",perceptrum:"✅ Nimmt teil (freiwillig)",fast:"✅ Koordiniert Straßensuchen"},{feature:"Kostenlose Version verfügbar",drakon:"❌ Nein",perceptrum:"✅ Ja (Basis)",fast:"❌ Nein"},{feature:"PoC verfügbar",drakon:"✅ Ja",perceptrum:"❌ Nein",fast:"✅ Ja"},{feature:"Automatische Bußgelder",drakon:"❌ Nicht der Fokus",perceptrum:"❌ Nicht der Fokus",fast:"✅ Ja — automatische Generierung"},{feature:"Territoriale Intelligenz",drakon:"Institutionell-operativ",perceptrum:"Privat-operativ",fast:"✅ Territorial und städtisch"},{feature:"DSGVO/LGPD-konform",drakon:"✅ Ja",perceptrum:"✅ Ja (per Design)",fast:"✅ Ja"},{feature:"Pilotaktivierungszeit",drakon:"Bis zu 7 Werktage",perceptrum:"Minuten",fast:"Bis zu 7 Werktage"}]}},it:{hero:{badge:"Specifiche Tecniche",title:"Specs Tecniche",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"Documento tecnico strutturato per processi di valutazione, acquisizione e integrazione. Tutte le specifiche delle tre piattaforme AiQuimist — funzionalità condivise e differenziatori esclusivi.",part1:"PARTE 1 — Core Specs",part1sub:"Funzionalità presenti su tutte e tre le piattaforme",part2:"PARTE 2 — Specs Esclusive",part2sub:"Caratteristiche specifiche e differenziatori di ogni prodotto",part3:"Riepilogo Comparativo"},copy:"Copia tabella",copied:"Copiato!",yes:"✅ Sì",no:"❌ No",feature:"Caratteristica",capacity:"Capacità",detail:"Dettaglio",param:"Parametro",value:"Valore",sections:[{id:"s1",title:"1.1 Motore IA — Interpretazione Multimodale Universale",desc:"Piattaforma AiQuimist che analizza simultaneamente video, audio, testo e immagine per estrarre il contesto reale e identificare situazioni rilevanti.",type:"capabilities",items:[{label:"🎥 Video",detail

45:"Analisi in tempo reale di telecamere live e registrazioni. Riconosce scene, oggetti, comportamenti, movimenti e pattern."},{label:"🔊 Audio",detail:"Rilevamento di parlato, parole chiave, pattern semantici, tono di voce, urgenza, conflitti e suoni di interesse configurabili."},{label:"📄 Testo e Immagine",detail:"Caricamento e analisi di file (video, immagine, audio, testo). Estrazione di prove, metadati e correlazione tra fonti."},{label:"Elaborazione temporale nativa",detail:"Analizza la fluidità del movimento, non solo singoli fotogrammi"},{label:"Finestra di contesto massiva",detail:"Mantiene la memoria di lunghi periodi video/audio per la correlazione degli eventi"},{label:"Analisi in tempo reale (live)",detail:"Stream di telecamere e canali audio 24×7"},{label:"Post-elaborazione",detail:"Stessi criteri di rilevamento applicati ad archivi e file registrati: NVR, DVR, NAS"},{label:"Caricamento di file digitali",detail:"Video, immagine, audio e testo per analisi multimodale correlata"},{label:"Identificazione dello stato emotivo",detail:"Lettura del linguaggio del corpo, del tono di voce e dei segnali comportamentali"},{label:"Astrazione dei provider IA",detail:"Endpoint, credenziali e limiti configurabili; cambio di provider con impatto minimo"}]},{id:"s2",title:"1.2 Acquisizione Telecamere e Fonti",type:"mixed",items:[{label:"Compatibilità universale",detail:"Qualsiasi telecamera, indipendentemente da marca, produttore, modello o generazione"},{label:"Analogico e digitale",detail:"Nessuna sostituzione hardware richiesta"},{label:"Protocollo principale",detail:"RTSP, ONVIF e metodi HTTP/file equivalenti"},{label:"DVR / NVR / NAS",detail:"Lettura di apparecchiature già installate presso il cliente"},{label:"Importazione di massa",detail:"Excel o CSV con metadati telecamere (IP, produttore, utente, password, porta, ecc.)"},{label:"Funzionamento autonomo",detail:"Completamente locale tramite rete interna — nessuna esposizione degli stream a internet"},{label:"Sicurezza di rete",detail:"Nessuna apertura di porte per accesso remoto né configurazione di tunnel/NAT"},{label:"Scalabilità",detail:"Da 1 a N telecamere/canali audio in parallelo"},{label:"Disponibilità degli stream",detail:"Monitoraggio e ripristino automatico dopo i guasti"}]},{id:"s3",title:"1.3 Orchestrazione dei Task — JOB / STEP",desc:"Sistema di automazione intelligente che sostituisce gli operatori umani nelle routine di sorveglianza. Creato tramite prompt in linguaggio naturale — senza codice, senza programmazione.",type:"capabilities",items:[{label:"JOB (task)",detail:"Unità di monitoraggio che legge 1 o N telecamere/canali e agisce in base a condizioni definite"},{label:"STEP (fase)",detail:"Ogni JOB è composto da più fasi concatenate; il risultato di una telecamera (output) alimenta quella successiva (input)"},{label:"Più fonti per fase",detail:"Ogni STEP può attivare 1 o più telecamere e/o 1 o più canali audio"},{label:"Concatenamento intelligente",detail:"Dipendenza cognitiva tra le fasi; il flusso cambia in base al risultato precedente"},{label:"Decisioni condizionali native",detail:"Ramificazioni, interruzione, ripetizione o escalation basate sul risultato reale"},{label:"Prompt per canale",detail:"Ogni telecamera o canale audio riceve un prompt specifico all'interno dello stesso JOB (esecuzione, alerta e negativo)"},{label:"Pianificazione",detail:"Esecuzione nei giorni e negli orari pianificati, con durata definita o continua"},{label:"Attivazione/disattivazione istantanea",detail:"Senza necessità di riconfigurazione"},{label:"Versioning dei task",detail:"Storico di configurazioni e prompt"},{label:"Creazione da parte di utenti non tecnici",detail:"Operatori senza conoscenze tecniche creano JOB completi tramite interfaccia con agente intelligente"}],params:[{param:"Creazione JOB",value:"Linguaggio naturale (testo o voce) — senza codice"},{param:"Concatenamento",value:"Lo STEP N usa il risultato cognitivo dello STEP N-1"},{param:"Fonti per STEP",value:"1 o più telecamere + 1 o più canali audio"},{param:"Pianificazione",value:"Data, ora, durata e ricorrenza configurabili"}]},{id:"s4",title:"1.4 Capacità di Rilevamento e Classificazione",type:"grouped",groups:[{label:"Rilevamento basato su video (computer vision / multimodale)",items:["Identificazione di situazioni e azioni rilevanti secondo i prompt configurati","Riconoscimento di persone di interesse — watchlist con associazione automatica degli eventi","Contegg

45io persone con trigger condizionali (più di X / meno di X / esattamente X)","Tracciamento di 1 o più individui/veicoli nel tempo","Tracciamento multi-telecamera con re-identificazione — segue lo spostamento tra telecamere A → N → B","Rilevamento di deviazione di percorso e violazione della traiettoria attesa","Lettura di targhe, cartelli e contenuto testuale visibile nella telecamera","Identificazione di gesti manuali configurabili e gesti nel linguaggio dei segni (quando definito nel prompt)","Rilevamento dello stato emotivo e del linguaggio del corpo di pre-conflitto"]},{label:"Rilevamento basato su audio (parlato / suoni / multimodale)",items:["Analisi audio in tempo reale e registrata con trascrizione (STT) quando applicabile","Diarizzazione — separazione e identificazione degli speaker con riepilogo per speaker e riepilogo dell'intera conversazione","Rilevamento di parole chiave pronunciate secondo la parametrizzazione","Rilevamento di frasi e pattern semantici configurabili","Rilevamento di pattern del parlato indicativi di eventi — urgenza, conflitto, ripetizione","Evidenziazione di estratti rilevanti per la revisione"]},{label:"Sistema di allarmi",items:["Allarme per condizione soddisfatta — es.: 'gruppo con X individui rilevato nel punto A'","Allarme per condizione NON soddisfatta — es.: 'individuo non ha superato la telecamera Y entro il periodo T'","Allarmi con logica di sequenza di passaggi — workflow multipunto configurabile","Trigger, finestre temporali e criteri di correlazione parametrizzabili","Livelli di gravità, destinatari e canali di 

45notifica configurabili","Prove allegate agli allarmi — fotogrammi, clip video, segmenti audio","Registrazione del ciclo di vita dell'allarme — generazione, instradamento, ricezione e chiusura"]}]},{id:"s5",title:"1.5 Contestualizzazione e Generazione di Prove",type:"capabilities",items:[{label:"Descrizione contestuale automatica",detail:"Generata in linguaggio naturale per ogni evento rilevato"},{label:"Metadati strutturati",detail:"Fonte, data/ora, posizione logica, tipo di evento, gravità"},{label:"Correlazione automatica",detail:"Stesso individuo, stessa area, stesso intervallo — tra più fonti"},{label:"Estrazione di prove",detail:"Fotogrammi, clip video, segmenti audio, testo riconosciuto"},{label:"Tracciabilità delle inferenze",detail:"Log e audit di tutti i rilevamenti"},{label:"Rapporti operativi",detail:"Audit trail completo"}]},{id:"s6",title:"1.6 Operazione in Linguaggio Naturale",desc:"Qualsiasi operatore — senza formazione tecnica — crea, configura e gestisce JOB completi usando testo o voce. Nessuna programmazione, script o strumenti esterni.",type:"capabilities",items:[{label:"Query in linguaggio naturale",detail:"Domande con risposte contestualizzate"},{label:"Comandi tramite testo e voce",detail:"Creazione, modifica e attivazione dei task"},{label:"Configurazione completa tramite prompt",detail:"Monitoraggi, allarmi, trigger e destinatari"},{label:"Controlli di governance",detail:"Conferma per azioni critiche, restrizioni per profilo"},{label:"Audit trail",detail:"Registrazione di tutti i comandi e le modifiche"}]},{id:"s7",title:"1.7 Integrazioni Esterne — API e Webhook",type:"capabilities",items:[{label:"Attivazione automatica dei webhook",detail:"Chiamate ad API esterne basate su condizioni definite"},{label:"Configurazione da parte di utenti non tecnici",detail:"Tramite prompt in linguaggio naturale"},{label:"Payload strutturato",detail:"Metadati e prove in JSON"},{label:"Autenticazione delle chiamate esterne",detail:"Token, chiavi, firme e liste di autorizzazione"},{label:"Audit delle richieste",detail:"Log completo di tutte le chiamate esterne"},{label:"Gestione degli errori",detail:"Tentativi di ripristino, code e log"},{label:"Interoperabilità",detail:"Dashboard, messaggistica, sistemi di registrazione e gestione"}],params:[{param:"Protocollo",value:"API REST + Webhook"},{param:"Payload",value:"JSON strutturato con metadati, prove e contesto"},{param:"Autenticazione",value:"Token, chiavi, firme e liste di autorizzazione"},{param:"Audit",value:"Log completo di tutte le chiamate esterne"}]},{id:"s8",title:"1.8 Metriche di Consumo e Gestione dei Costi",type:"capabilities",items:[{label:"Metriche per JOB/STEP",detail:"Registrazione e disponibilità dettagliate"},{label:"Metriche per telecamera/canale audio",detail:"Consumo individualizzato per fonte"},{label:"Metriche per utente/profilo",detail:"Tracciamento dell'utilizzo per operatore"},{label:"Conteggio di token e richieste",detail:"Stime e valori reali con latenza"},{label:"Costi per dimensione",detail:"JOB, telecamera e utente"},{label:"Quote e centri di costo",detail:"Supporto per quote e segregazione per dipartimento"}]},{id:"s9",title:"1.9 Requisiti Hardware",type:"params",params:[{param:"GPU",value:"Non richiesta — nessuna delle tre piattaforme"},{param:"GPU (F.A.S.T.-AI)",value:"Utilizzata per alcune infrazioni complesse e soluzione SBC di prevenzione incidenti in autostrada"},{param:"Hardware proprietario",value:"Non richiesto — si integra con l'infrastruttura esistente"},{param:"Telecamere",value:"Senza sostituzione — compatibile con qualsiasi apparecchiatura installata"},{param:"SO supportato",value:"Windows (compatibilità nativa)"},{param:"Distribuzione",value:"On-premises, cloud pubblico/privato (territorio nazionale) o ibrido"},{param:"Attivazione",value:"Giorni, non mesi — pilota distribuibile entro 7 giorni lavorativi"}]},{id:"s10",title:"1.10 Sicurezza delle Informazioni, Governance e Protezione dei Dati",type:"capabilities",items:[{label:"Controllo accessi RBAC",detail:"Segregazione delle funzioni e minimo privilegio"}

45,{label:"Audit trail completi",detail:"Log operativi, comandi, modifiche alla configurazione e prompt"},{label:"Protezione dei dati",detail:"In transito e a riposo"},{label:"Politiche di conservazione ed eliminazione",detail:"Pseudonimizzazione/anonimizzazione quando applicabile"},{label:"Gestione dei profili di accesso",detail:"Restrizioni operative per livello"},{label:"Conformità GDPR/LGPD",detail:"Minimizzazione, finalità, necessità e responsabilità"},{label:"Archiviazione delle credenziali",detail:"Windows Credential Manager/DPAPI o equivalente — testo in chiaro vietato"}]},{id:"s11",title:"1.11 Disponibilità e Continuità Operativa",type:"capabilities",items:[{label:"Operazione 24×7",detail:"Monitoraggio continuo senza interruzioni"},{label:"Ripristino automatico",detail:"Ripresa dopo guasti dello stream senza intervento"},{label:"Resilienza alle interruzioni di connettività",detail:"Rielaborazione dei contenuti registrati"},{label:"Code e rielaborazione",detail:"Garanzia di copertura senza lacune"},{label:"Alta disponibilità",detail:"Ridondanza, replica e bilanciamento quando configurati"}]},{id:"s12",title:"1.12 Integrazione con Rete Cooperativa Privata",desc:"Capacità esclusiva dell'ecosistema AiQuimist: le telecamere private di utenti volontari partecipano automaticamente alle ricerche pubbliche — senza trasmettere video, senza aprire porte di rete.",type:"capabilities",items:[{label:"Distribuzione gratuita",detail:"Soluzione Windows distribuibile agli utenti privati a livello nazionale"},{label:"Meccanismo di accoppiamento",detail:"Codice di attivazione, collegamento e revoca del dispositivo"},{label:"Solo endpoint autorizzati",detail:"Solo endpoint autorizzati possono consumare o pubblicare dati/eventi"},{label:"Rilevamento e notifica locale",detail:"L'analisi avviene sul computer dell'utente privato"},{label:"Notifica di corrispondenza",detail:"Automatica alla piattaforma centrale quando c'è una corrispondenza con la watchlist"},{label:"Allarme strutturato",detail:"Immagine dell'individuo con overlay, data/ora, telecamera, indirizzo completo, GPS, livello di confidenza, identificatore"},{label:"Algoritmi Re-ID",detail:"Re-identificazione e, quando applicabile e autorizzato, riconoscimento facciale"}

45,{label:"Partecipazione volontaria",detail:"L'utente decide se attivare la cooperazione e quali telecamere partecipano"},{label:"Privacy by design",detail:"Nessuna porta aperta, nessuno stream trasmesso continuamente"},{label:"Conformità totale GDPR/LGPD",detail:"Analisi locale, condivisione solo del risultato pertinente"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"Intelligenza istituzionale per operazioni pubbliche e ambienti mission-critical",sections:[{title:"2.1 Focus e Ambito Operativo",desc:"Piattaforma destinata al settore pubblico, istituzionale e alle grandi aziende ad alta criticità. Opera su reti di telecamere su larga scala.",type:"list",items:["Comuni, governi regionali e federali","Forze di polizia, polizie municipali e assessorati alla sicurezza","Centri di comando e controllo integrati (CIOPs)","Prigioni e istituti penitenziari","Aeroporti, porti e terminal","Frontiere e infrastrutture critiche nazionali","Aziende pubbliche e grandi aziende private con operazioni complesse","Grandi aziende private: banche, logistica e altri"]},{title:"2.2 Infrastruttura Esclusiva",type:"params",params:[{param:"Funziona su",value:"Server propri del cliente (on-premise)"},{param:"Sicurezza dei dati",value:"100% interna — nessuna informazione esposta a internet"},{param:"GPU",value:"Non richiesta"},{param:"Server",value:"Convenzionali — dedicati al database e alla lettura simultanea delle telecamere"},{param:"Scala",value:"Grandi reti istituzionali — da decine a migliaia di telecamere"}]},{title:"2.3 Rilevamenti Specifici",type:"list",items:["Movimenti sospetti in perimetri, accessi e ambienti critici","Comportamenti incompatibili con aree sensibili","Intrusioni e tentativi di accesso non autorizzato","Conflitti e situazioni di violenza","Tentativi di fuga in unità di custodia","Presenza di armi","Oggetti abbandonati in luoghi a rischio","Cambiamenti bruschi nei pattern comportamentali","Concentrazione anomala di persone nei punti critici","Situazioni di rischio in ambienti mission-critical — aeroporti, frontiere, prigioni","Motore Temporale: esegue il prompt e il sistema procede senza intervento umano"]},{title:"2.4 Coordinamento della Rete Cooperativa",type:"list",items:["Lancia ricerche e tracciamenti che si propagano all'intera rete pubblica e privata cooperante","Riceve notifiche automatiche da Perceptrum quando c'è una corrispondenza con la watchlist","Coordina operazioni integrate tra spazio pubblico, viario (F.A.S.T.) e privato (Perceptrum)","Centralizza allarmi, prove e traccia di tracciamento dell'intera rete integrata"]},{title:"2.5 Modello Commerciale",type:"params",params:[{param:"Licenza",value:"Istituzionale — contratto con ente pubblico o azienda"},{param:"Distribuzione",value:"On-premise sui server del cliente"},{param:"Supporto",value:"Onboarding e configurazione inclusi"},{param:"Pilota",value:"Distribuibile entro 7 giorni lavorativi sull'infrastruttura esistente"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"Intelligenza multimodale per l'ambiente privato — dalla casa alla grande azienda",sections:[{title:"2.6 Focus e Ambito Operativo",desc:"Piattaforma destinata al settore privato, commerciale, residenziale e condominiale. Democratizza l'accesso all'intelligenza di monitoraggio avanzata.",type:"list",items:["Residenze e abitazioni","Condomini ed edifici residenziali e commerciali","Piccole e medie imprese","Catene di negozi al dettaglio","Banche e istituti finanziari","Centri commerciali e parcheggi","Scuole e università private","Ospedali e cliniche private","Magazzini e strutture logistiche","Fattorie e proprietà rurali"]},{title:"2.7 Infrastruttura Esclusiva",type:"params",params:[{param:"Funziona su",value:"Computer personale dell'utente (domestico o aziendale)"},{param:"Processore minimo",value:"Intel i5 o superiore"},{param:"GPU",value:"Non richiesta"},{param:"Archiviazione",value:"Spazio su disco per immagini temporanee in analisi"},{param:"DVR/NVR",value:"Lettura nativa per ricerche nelle registrazioni precedenti"},{param:"Attivazione",value:"Minuti — importazione telecamere via CSV e avvio immediato"}]},{title:"2.8 Rilevamenti Specifici",type:"list",items:["Movimenti fuori schema in orari o luoghi insoliti","Furti, rapine e aggressioni — comportamenti tipici di sottrazione","Presenza non autorizzata in aree riservate","Rischio perimetrale e tentativi di intrusione","Richieste di aiuto — gesti e comportamenti di soccorso","Oggetti sospetti abbandonati","Anomalie operative nei processi (logistica, inventario, conseg

45ne)","Verifica automatizzata dei processi: veicolo, targa, corriere, conteggio volumi","Eventi configurabili per tipo di ambiente — profilo per ogni installazione","Individua violatori di misure di protezione (ordini di allontanamento ecc.)"]},{title:"2.9 Cooperazione Volontaria (esclusivo Perceptrum)",type:"list",items:["Flag di cooperazione volontaria — il proprietario decide se attivare e quali telecamere partecipano","Quando attivato: la telecamera partecipa alle ricerche emesse da Perceptrum Corporate o F.A.S.T.-AI","Analisi eseguita localmente — sul computer dell'utente privato","Nessuno stream video trasmesso continuamente alla centrale pubblica","Nessuna porta di rete aperta esternamente","Solo il risultato (corrispondenza) viene inviato alla centrale — non le immagini","L'allarme include: immagine dell'individuo con overlay, data/ora, telecamera, indirizzo, GPS, livello di confidenza","Partecipazione revocabile in qualsiasi momento dal proprietario","Conformità totale GDPR/LGPD — privacy by architectural design"]},{title:"2.10 Modello Commerciale",type:"params",params:[{param:"Versione gratuita",value:"Funzionalità di monitoraggio di base — senza costi, senza carta di credito"},{param:"Versione premium",value:"Accesso completo — licenza mensile accessibile"},{param:"Cooperazione pubblica",value:"Gratuita per l'utente privato — costo pagato dall'ente pubblico per ogni consultazione"},{param:"Costo per lo Stato",value:"Centesimi per ricerca — pagato solo quando la ricerca viene attivata"},{param:"Distribuzione",value:"Distribuibile agli utenti privati a livello nazionale"}]}]},{id:"fast-ai",product:"F.A.S.T.-AI",color:"#00AAFF",icon:"🚦",tagline:"Intelligenza territoriale, mobilità e lettura dinamica dello spazio urbano",sections:[{title:"2.11 Focus e Ambito Operativo",desc:"Piattaforma destinata alla mobilità, al traffico, all'urbanistica e all'interpretazione dinamica del territorio.",type:"list",items:["Assessorati e dipartimenti comunali di traffico e mobilità","Centri di operazione urbana (COUs)","Dipartimenti di opere pubbliche e urbanistica","Enti di controllo del traffico","Organizzatori di grandi eventi pubblici","Concessionari autostradali e di parcheggi","Forze di sicurezza pubblica — tracciamento veicoli e operazioni stradali"]},{title:"2.12 Infrastruttura Esclusiva",type:"params",params:[{param:"Funziona su",value:"Server delle aziende responsabili del traffico e dell'urbanistica"},{param:"GPU",value:"Non richiesta (eccetto analisi di infrazioni complesse e soluzione SBC di prevenzione incidenti in autostrada)"},{param:"Archiviazione",value:"Bassa — legge direttamente da NAS, DVR, NVR o streaming esistente"},{param:"Fonti compatibili",value:"Telecamere pubbliche stradali, semafori, autovelox fissi e mobili — qualsiasi standard"},{param:"Scala",value:"Rete viaria urbana completa — quartieri, corridoi, città"}]},{title:"2.13 Rilevamenti Specifici",type:"list",items:["Infrazioni stradali — generazione automatica di multe con prove","Incidenti e investimenti di pedoni — rilevamento e notifica immediata","Formazione di ingorghi — rilevamento precoce prima del collasso","Blocchi stradali e deviazioni","Occupazione irregolare dello spazio pubblico","Eventi atipici che influenzano la mobilità urbana","Rischi operativi su strade e aree strategiche","Pattern di flusso, zone critiche e ricorrenze","Tracciamento di veicoli sospetti — targa, modello, colore, percorso","Concentrazione e densità di persone su strade e spazi pubblici","Inseguimento automatico se richiesto dall'operatore"]},{title:"2.14 Intelligenza Territoriale (esclusivo F.A.S.T.-AI)",type:"list",items:["Analisi dei pattern di flusso veicolare e pedonale per ora, giorno e zona","Identificazione di zone critiche e ricorrenze di incidenti","Supporto alle decisioni di pianificazione viaria e urbanistica con dati reali","Dashboard di gestione territoriale in tempo reale per assessori e manager","Supporto alla gestione di grandi eventi — densità, flusso, rischi di tumulto","Generazione continua di informazioni strategiche sul comportamento del territorio"]},{title:"2.15 Modello Commerciale",type:"params",params:[{param:"Licenza",value:"Comunale / regi

45onale — contratto con ente pubblico di mobilità o sicurezza"},{param:"Distribuzione",value:"Server del comune o del concessionario — sull'infrastruttura esistente"},{param:"ROI diretto",value:"I ricavi generati dalle multe automatiche superano il costo della piattaforma"},{param:"Pilota",value:"Distribuibile entro 7 giorni lavorativi sulle telecamere pubbliche esistenti"}]}]}],comparison:{title:"Riepilogo Comparativo delle Tre Piattaforme",rows:[{feature:"Focus principale",drakon:"Settore pubblico e mission-critical",perceptrum:"Settore privato e residenziale",fast:"Traffico e urbanistica"},{feature:"Funziona su",drakon:"Server del cliente (on-premise)",perceptrum:"Computer personale (i5+)",fast:"Server municipali/concessionario"},{feature:"GPU richiesta",drakon:"❌ No",perceptrum:"❌ No",fast:"❌ No (eccetto SBC)"},{feature:"Sostituzione telecamere",drakon:"❌ Non richiesta",perceptrum:"❌ Non richiesta",fast:"❌ Non richiesta"},{feature:"Analisi live (24/7)",drakon:"✅ Sì",perceptrum:"✅ Sì",fast:"✅ Sì"},{feature:"Post-elaborazione registrata",drakon:"✅ Sì (DVR/NVR/NAS)",perceptrum:"✅ Sì (DVR/NVR/NAS)",fast:"✅ Sì (DVR/NVR/NAS)"},{feature:"JOB in linguaggio naturale",drakon:"✅ Sì",perceptrum:"✅ Sì",fast:"✅ Sì"},{feature:"Integrazione API/Webhook",drakon:"✅ Sì",perceptrum:"✅ Sì",fast:"✅ Sì"},{feature:"Tracciamento multi-telecamera",drakon:"✅ Sì",perceptrum:"✅ Sì",fast:"✅ Sì"},{feature:"Rete cooperativa privata",drakon:"✅ Coordina ricerche",perceptrum:"✅ Partecipa (volontario)",fast:"✅ Coordina ricerche stradali"},{feature:"Versione gratuita disponibile",drakon:"❌ No",perceptrum:"✅ Sì (base)",fast:"❌ No"},{feature:"PoC disponibile",drakon:"✅ Sì",perceptrum:"❌ No",fast:"✅ Sì"},{feature:"Multe automatiche",drakon:"❌ Non il focus",perceptrum:"❌ Non il focus",fast:"✅ Sì — generazione automatica"},{feature:"Intelligenza territoriale",drakon:"Operativo istituzionale",perceptrum:"Operativo privato",fast:"✅ Territoriale e urbano"},{feature:"Conformità GDPR/LGPD",drakon:"✅ Sì",perceptrum:"✅ Sì (by design)",fast:"✅ Sì"},{feature:"Tempo di attivazione pilota",drakon:"Fino a 7 giorni lavorativi",perceptrum:"Minuti",fast:"Fino a 7 giorni lavorativi"}]}},nl:{hero:{badge:"Technische Specificaties",title:"Technische Specs",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"Gestructureerd technisch document voor evaluatie-, aanbestedings- en integratieprocessen. Alle specificaties van de drie AiQuimist-platforms — gedeelde functionaliteiten en exclusieve onderscheidende kenmerken.",part1:"DEEL 1 — Core Specs",part1sub:"Functionaliteiten aanwezig op alle drie platforms",part2:"DEEL 2 — Exclusieve Specs",part2sub:"Productspecifieke kenmerken en onderscheidende factoren",part3:"Vergelijkend Overzicht"},copy:"Tabel kopiëren",copied:"Gekopieerd!",yes:"✅ Ja",no:"❌ Nee",feature:"Kenmerk",capacity:"Capaciteit",detail:"Detail",param:"Parameter",value:"Waarde",sections:[{id:"s1",title:"1.1 AI-Motor — Universele Multimodale Interpretatie",desc:"AiQuimist-platform dat tegelijkertijd video, audio, tekst en beeld analyseert om echte context te extraheren en relevante situaties te identificeren.",type:"capabilities",items:[{label:"🎥 Video",detail:"Realtime-analyse van live camera's en opnamen. Herkent scènes, objecten, gedragingen, bewegingen en patronen."},{label:"🔊 Audio",detail:"Detectie van spraak, trefwoorden, semantische patronen, stemtoon, urgentie, conflicten en configureerbare interessantsignalen."},{label:"📄 Tekst & Beeld",detail:"Upload en analyse van bestanden (video, beeld, audio, tekst). Bewijsextractie, metadata en bronoverkoepelende correlatie."},{label:"Natieve temporale verwerking",detail:"Analyseert bewegingsvloeiendheid, niet alleen geïsoleerde frames"},{label:"Massief contextvenster",detail:"Behoudt geheugen van lange video-/audioperioden voor gebeurteniscorrelatie"},{label:"Realtime-analyse (live)",detail:"Camerastreams en audiokanalen 24×7"},{label:"Naverwerking",detail:"Dezelfde detectiecriteria toegepast op archieven en opgenomen bestanden: NVR, DVR, NAS"}

45,{label:"Digitale bestandsupload",detail:"Video, beeld, audio en tekst voor gecorreleerde multimodale analyse"},{label:"Emotionele toestandsidentificatie",detail:"Lezen van lichaamstaal, stemtoon en gedragssignalen"},{label:"AI-providerabstractie",detail:"Configureerbare endpoints, inloggegevens en limieten; providerwisseling met minimale impact"}]},{id:"s2",title:"1.2 Camera- en Bronopname",type:"mixed",items:[{label:"Universele compatibiliteit",detail:"Elke camera, ongeacht merk, fabrikant, model of generatie"},{label:"Analoog en digitaal",detail:"Geen hardwarevervanging vereist"},{label:"Hoofdprotocol",detail:"RTSP, ONVIF en gelijkwaardige HTTP/bestandsmethoden"},{label:"DVR / NVR / NAS",detail:"Leest reeds bij de klant geïnstalleerde apparatuur"},{label:"Bulkimport",detail:"Excel of CSV met camerametadata (IP, fabrikant, gebruiker, wachtwoord, poort, enz.)"},{label:"Zelfstandige werking",detail:"Volledig lokaal via intern netwerk — geen streamblootstelling aan internet"},{label:"Netwerkbeveiliging",detail:"Geen open poorten voor externe toegang of NAT/tunnelconfiguraties"},{label:"Schaalbaarheid",detail:"1 tot N camera's/audiokanalen parallel"},{label:"Streambeschikbaarheid",detail:"Monitoring en automatisch herstel na storingen"}]},{id:"s3",title:"1.3 Taakorkestratie — JOB / STEP",desc:"Intelligent automatiseringssysteem dat menselijke operators vervangt in bewakingsroutines. Gemaakt via prompts in natuurlijke taal — geen code, geen programmering.",type:"capabilities",items:[{label:"JOB (taak)",detail:"Bewakingseenheid die 1 of N camera's/kanalen leest en handelt op basis van gedefinieerde condities"},{label:"STEP (stap)",detail:"Elke JOB bestaat uit meerdere geketende stappen; het resultaat van één camera (output) voedt de volgende (input)"},{label:"Meerdere bronnen per stap",detail:"Elke STEP kan 1 of meer camera's en/of 1 of meer audiokanalen activeren"}

45,{label:"Intelligent ketenen",detail:"Cognitieve afhankelijkheid tussen stappen; stroom verandert op basis van vorig resultaat"},{label:"Natieve voorwaardelijke beslissingen",detail:"Vertakkingen, onderbreking, herhaling of escalatie op basis van werkelijk resultaat"},{label:"Prompt per kanaal",detail:"Elke camera of audiokanaal ontvangt een specifieke prompt binnen dezelfde JOB (uitvoering, alarm en negatief)"},{label:"Planning",detail:"Uitvoering op geplande dagen en tijden, met gedefinieerde of continue duur"},{label:"Directe activering/deactivering",detail:"Geen herconfiguratie vereist"},{label:"Taakversiebeheer",detail:"Geschiedenis van configuraties en prompts"},{label:"Aangemaakt door niet-technici",detail:"Operators zonder technische kennis maken volledige JOB's via interface met intelligente agent"}],params:[{param:"JOB-aanmaak",value:"Natuurlijke taal (tekst of spraak) — geen code"},{param:"Ketening",value:"STEP N gebruikt cognitief resultaat van STEP N-1"},{param:"Bronnen per STEP",value:"1 of meer camera's + 1 of meer audiokanalen"},{param:"Planning",value:"Datum, tijd, duur en herhaling configureerbaar"}]},{id:"s4",title:"1.4 Detectie- en Classificatiecapaciteiten",type:"grouped",groups:[{label:"Videogebaseerde detectie (computer vision / multimodaal)",items:["Identificatie van relevante situaties en acties per geconfigureerde prompts","Herkenning van personen van belang — watchlist met automatische gebeurteniskoppeling","Personentelling met voorwaardelijke triggers (meer dan X / minder dan X / precies X)","Tracking van 1 of meerdere individuen/voertuigen in de tijd","Multi-cameratracking met heridentificatie — volgt verplaatsing tussen camera's A → N → B","Routeafwijkingsdetectie en schending van verwachte trajectorie","Lezen van kentekens, borden en zichtbare tekstinhoud in camera","Identificatie van configureerbare handgebaren en gebarentaalgebaren (wanneer gedefinieerd in prompt)","Emotionele toestandsdetectie en preconflict lichaamstaal"]},{label:"Audiogebaseerde detectie (spraak / geluiden / multimodaal)",items:["Realtime en opgenomen audioanalyse met transcriptie (STT) indien van toepassing","Diarisering — sprekerscheiding en -identificatie met samenvatting per spreker en volledige gespreksamenvatting","Detectie van gesproken trefwoorden per parameterisering","Detectie van configureerbare zinnen en semantische patronen","Detectie van spreekpatronen die wijzen op gebeurtenissen — urgentie, conflict, herhaling","Markering van relevante fragmenten voor controle"]},{label:"Alarmsysteem",items:["Alarm bij voldane conditie — bijv.: 'groep met X individuen gedetecteerd op punt A'","Alarm bij NIET voldane conditie — bijv.: 'individu passeerde camera Y niet binnen tijdbestek T'","Alarmen met passeersequentielogica — configureerbare multipoint-workflow","Configureerbare triggers, tijdvensters en correlatiecriteria","Configureerbare ernst-niveaus, ontvangers en notificatiekanalen","Bewijzen bijgevoegd aan alarmen — frames, videoclips, audiosegmenten","Levenscyclusregistratie van alarm — generatie, routering, ontvangst en sluiting"]}]},{id:"s5",title:"1.5 Contextualisering en Bewijsgeneratie",type:"capabilities",items:[{label:"Automatische contextuele beschrijving",detail:"Gegenereerd in natuurlijke taal voor elk gedetecteerde gebeurtenis"},{label:"Gestructureerde metadata",detail:"Bron, datum/tijd, logische locatie, gebeurtenistype, ernst"},{label:"Automatische correlatie",detail:"Zelfde individu, zelfde gebied, zelfde interval — over meerdere bronnen"},{label:"Bewijsextractie",detail:"Frames, videoclips, audiosegmenten, herkende tekst"},{label:"Inferentietracering",detail:"Logboeken en controle van alle detecties"},{label:"Operationele rapporten",detail:"Volledig controletraject"}]},{id:"s6",title:"1.6 Bediening in Natuurlijke Taal",desc:"Elke operator — zonder technische opleiding — maakt, configureert en bedient volledige JOB's met tekst of spraak. Geen programmering, scripts of externe tools.",type:"capabilities",items:[{label:"Zoekopdrachten in natuurlijke taal",detail:"Vragen met ge

45contextualiseerde antwoorden"},{label:"Tekst- en spraakopdrachten",detail:"Aanmaak, bewerking en activering van taken"},{label:"Volledige configuratie via prompt",detail:"Monitoring, alarmen, triggers en ontvangers"},{label:"Governance-controles",detail:"Bevestiging voor kritieke acties, profielgebaseerde beperkingen"},{label:"Controletraject",detail:"Registratie van alle opdrachten en wijzigingen"}]},{id:"s7",title:"1.7 Externe Integraties — API en Webhook",type:"capabilities",items:[{label:"Automatisch webhook-activering",detail:"Externe API-aanroepen op basis van gedefinieerde condities"},{label:"Configuratie door niet-technici",detail:"Via prompt in natuurlijke taal"},{label:"Gestructureerde payload",detail:"Metadata en bewijs in JSON"},{label:"Authenticatie van externe aanroepen",detail:"Tokens, sleutels, handtekeningen en permissielijsten"},{label:"Aanvraagcontrole",detail:"Volledig logboek van alle externe aanroepen"},{label:"Foutafhandeling",detail:"Herhalingspogingen, wachtrijen en logboeken"},{label:"Interoperabiliteit",detail:"Dashboards, berichten, registratie- en beheersystemen"}],params:[{param:"Protocol",value:"REST API + Webhooks"},{param:"Payload",value:"Gestructureerde JSON met metadata, bewijs en context"},{param:"Authenticatie",value:"Tokens, sleutels, handtekeningen en permissielijsten"},{param:"Controle",value:"Volledig logboek van alle externe aanroepen"}]},{id:"s8",title:"1.8 Verbruiksstatistieken en Kostenbeheer",type:"capabilities",items:[{label:"Statistieken per JOB/STEP",detail:"Gedetailleerde registratie en beschikbaarstelling"},{label:"Statistieken per camera/audiokanaal",detail:"Geïndividualiseerd verbruik per bron"},{label:"Statistieken per gebruiker/profiel",detail:"Gebruikstracking per operator"},{label:"Token- en aanvraagtelling",detail:"Schattingen en werkelijke waarden met latentie"},{label:"Kosten per dimensie",detail:"JOB, camera en gebruiker"}

45,{label:"Quota's en kostenplaatsen",detail:"Ondersteuning voor quota's en afdelingsscheiding"}]},{id:"s9",title:"1.9 Hardwarevereisten",type:"params",params:[{param:"GPU",value:"Niet vereist — geen van de drie platforms"},{param:"GPU (F.A.S.T.-AI)",value:"Gebruikt voor sommige complexe overtredingen en SBC-oplossing voor verkeersongevallenpreventie"},{param:"Eigen hardware",value:"Niet vereist — integreert met bestaande infrastructuur"},{param:"Camera's",value:"Geen vervanging — compatibel met elk geïnstalleerd apparaat"},{param:"Ondersteund OS",value:"Windows (native compatibiliteit)"},{param:"Implementatie",value:"On-premises, publieke/private cloud (nationaal grondgebied) of hybride"},{param:"Activering",value:"Dagen, niet maanden — pilot inzetbaar binnen 7 werkdagen"}]},{id:"s10",title:"1.10 Informatiebeveiliging, Governance en Gegevensbescherming",type:"capabilities",items:[{label:"RBAC-toegangscontrole",detail:"Functiescheiding en minimale bevoegdheden"},{label:"Volledige controletrajecten",detail:"Operationele logboeken, opdrachten, configuratiewijzigingen en prompts"},{label:"Gegevensbescherming",detail:"In transit en in rust"}

45,{label:"Bewaar- en verwijderingsbeleid",detail:"Pseudonimisering/anonimisering indien van toepassing"},{label:"Toegangsprofiel­beheer",detail:"Operationele beperkingen per niveau"},{label:"AVG/LGPD-naleving",detail:"Minimalisering, doel, noodzaak en verantwoording"},{label:"Opslag van inloggegevens",detail:"Windows Credential Manager/DPAPI of equivalent — plaintext-opslag verboden"}]},{id:"s11",title:"1.11 Beschikbaarheid en Operationele Continuïteit",type:"capabilities",items:[{label:"24×7-werking",detail:"Continue monitoring zonder onderbreking"},{label:"Automatisch herstel",detail:"Streamstoring hervatten zonder tussenkomst"},{label:"Verbindingsuitvalbestendigheid",detail:"Herverwerking van opgenomen inhoud"},{label:"Wachtrijen en herverwerking",detail:"Dekkingsgarantie zonder hiaten"},{label:"Hoge beschikbaarheid",detail:"Redundantie, replicatie en taakverdeling indien geconfigureerd"}]},{id:"s12",title:"1.12 Integratie met Privaat Coöperatief Netwerk",desc:"Exclusieve capaciteit van het AiQuimist-ecosysteem: privécamera's van vrijwillige gebruikers nemen automatisch deel aan openbare zoekopdrachten — zonder video te verzenden, zonder netwerkpoorten te openen.",type:"capabilities",items:[{label:"Gratis distributie",detail:"Windows-oplossing die landsbreed aan privégebruikers distribueerbaar is"},{label:"Koppelingmechanisme",detail:"Activatiecode, apparaatkoppeling en -intrekking"},{label:"Alleen geautoriseerde endpoints",detail:"Alleen geautoriseerde endpoints kunnen gegevens/gebeurtenissen verbruiken of publiceren"},{label:"Lokale detectie en melding",detail:"Analyse vindt plaats op de computer van de privégebruiker"},{label:"Overeenkomstmelding",detail:"Automatisch aan het centrale platform bij een watchlist-overeenkomst"},{label:"Gestructureerd alarm",detail:"Afbeelding van individu met overlay, datum/tijd, camera, volledig adres, GPS, betrouwbaarheidsniveau, identificator"},{label:"Re-ID-algoritmen",detail:"Heridentificatie en, indien van toepassing en geautoriseerd, gezichtsherkenning"},{label:"Vrijwillige deelname",detail:"Gebruiker beslist over activering van samenwerking en welke camera's deelnemen"},{label:"Privacy by design",detail:"Geen open poorten, geen continu verzonden streams"},{label:"Volledige AVG/LGPD-naleving",detail:"Lokale analyse, delen van alleen het relevante resultaat"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"Institutionele intelligentie voor publieke operaties en missiekritieke omgevingen",sections:[{title:"2.1 Focus en Operationeel Bereik",desc:"Platform voor de publieke, institutionele en hooggraviteitssector. Werkt op grootschalige cameranetwerken.",type:"list",items:["Gemeenten, provinciale en nationale overheden","Politiediensten, gemeentelijke bewakers en veiligheidsdiensten","Geïntegreerde commando- en controlecentra (CIOPs)","Gevangenissen en detentie-instellingen","Luchthavens, havens en terminals","Grenzen en nationale kritieke infrastructuur","Overheidsbedrijven en grote private ondernemingen met complexe activiteiten","Grote private bedrijven: banken, logistiek en andere"]},{title:"2.2 Exclusieve Infrastructuur",type:"params",params:[{param:"Draait op",value:"Eigen servers van de klant (on-premise)"},{param:"Gegevensbeveiliging",value:"100% intern — geen informatie blootgesteld aan internet"},{param:"GPU",value:"Niet vereist"},{param:"Servers",value:"Conventioneel — toegewijd aan database en gelijktijdige cameraopname"},{param:"Schaal",value:"Grote institutionele netwerken — tientallen tot duizenden camera's"}]},{title:"2.3 Specifieke Detecties",type:"list",items:["Verdachte bewegingen in perimeters, toegangen en kritieke omgevingen","Gedragingen die onverenigbaar zijn met gevoelige gebieden","Inbraken en pogingen tot ongeautoriseerde toegang","Conflicten en gewelddadige situaties","Ontsnappingspogingen in bewaringsplaatsen","Aanwezigheid van wapens","Achtergelaten objecten op risicolocaties","Plotselinge gedragspatroonwijzigingen","Abnormale mensenmenigte op kritieke punten","Risicosituaties in missiekritieke omgevingen — luchthavens, grenzen, gevangenissen","Temporale Motor: voert prompt uit en het systeem gaat verder zonder menselijke tussenkomst"]},{title:"2.4 Coöperatief Netwerkcoördinatie",type:"list",items:["Activeert zoekopdrachten en tracking die zich verspreiden over het gehele publieke en coöperatieve privénetwerk","Ontvangt automatische meldingen van Perceptrum bij watchlist-overeenkomsten","Coördineert geïntegreerde operaties tussen publieke, verkeers- (F.A.S.T.) en privéruimte (Perceptrum)","Centraliseert alarmen, bewijs en trackingtraject van het gehele geïntegreerde netwerk"]},{title:"2.5 Commercieel Model",type:"params",params:[{param:"Licentie",value:"Institutioneel — contract met overheidsinstantie of bedrijf"},{param:"Implementatie",value:"On-premise op de servers van de klant"}

45,{param:"Ondersteuning",value:"Onboarding en configuratie inbegrepen"},{param:"Pilot",value:"Inzetbaar binnen 7 werkdagen op bestaande infrastructuur"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"Multimodale intelligentie voor de privéomgeving — van thuis tot groot bedrijf",sections:[{title:"2.6 Focus en Operationeel Bereik",desc:"Platform voor de privé-, commerciële, residentiële en appartementensector. Democratiseert de toegang tot geavanceerde bewakingsintelligentie.",type:"list",items:["Woningen en huizen","Appartementencomplexen en residentiële en commerciële gebouwen","Kleine en middelgrote bedrijven","Retailketens en winkels","Banken en financiële instellingen","Winkelcentra en parkeerplaatsen","Private scholen en universiteiten","Private ziekenhuizen en klinieken","Magazijnen en logistieke voorzieningen","Boerderijen en landelijke eigendommen"]},{title:"2.7 Exclusieve Infrastructuur",type:"params",params:[{param:"Draait op",value:"Persoonlijke computer van gebruiker (thuis of zakelijk)"},{param:"Minimale processor",value:"Intel i5 of beter"},{param:"GPU",value:"Niet vereist"},{param:"Opslag",value:"Schijfruimte voor tijdelijke afbeeldingen in analyse"},{param:"DVR/NVR",value:"Native opname voor zoekopdrachten in eerdere opnamen"},{param:"Activering",value:"Minuten — camera-import via CSV en directe start"}]},{title:"2.8 Specifieke Detecties",type:"list",items:["Bewegingen buiten patroon op ongebruikelijke tijden of plaatsen","Diefstal, roof en overval — typische aftrekkingsgedragingen","Onbevoegde aanwezigheid in beperkte gebieden","Perimeterrisico en inbraakpogingen","Verzoeken om hulp — noodgebaren en -gedragingen","Achtergelaten verdachte objecten","Operationele afwijkingen in processen (logistiek, inventaris, leveringen)","Geautomatiseerde procesverificatie: voertuig, kenteken, bezorger, volumetelling","Configureerbare gebeurtenissen per omgevingstype — profiel per installatie","Localiseert overtreders van beschermingsmaatregelen (tijdelijke verboden etc.)"]},{title:"2.9 Vrijwillige Samenwerking (exclusief Perceptrum)",type:"list",items:["Vrijwillige samenwerkingsvlag — eigenaar beslist over activering en welke camera's deelnemen","Bij activering: camera neemt deel aan zoekopdrachten van Perceptrum Corporate of F.A.S.T.-AI","Analyse lokaal uitgevoerd — op de eigen computer van de privégebruiker","Geen continu videostream verzonden naar de publieke centrale","Geen extern geopende netwerkpoorten","Alleen het resultaat (overeenkomst) wordt naar de centrale gestuurd — niet de afbeeldingen","Alarm omvat: afbeelding van individu met overlay, datum/tijd, camera, adres, GPS, betrouwbaarheidsniveau","Deelname op elk moment door de eigenaar in te trekken","Volledige AVG/LGPD-naleving — privacy by architectural design"]},{title:"2.10 Commercieel Model",type:"params",params:[{param:"Gratis versie",value:"Basisbewakingsfuncties — geen kosten, geen creditcard"},{param:"Premium versie",value:"Volledige toegang — betaalbare maandelijkse licentie"},{param:"Publieke samenwerking",value:"Gratis voor de privégebruiker — kosten betaald door overheidsinstantie per zoekopdracht"},{param:"Kosten voor de overheid",value:"Centen per zoekopdracht — alleen betaald wanneer de zoekopdracht wordt geactiveerd"},{param:"Distributie",value:"Landsbreed distribueerbaar aan privégebruikers"}]}]},{id:"fast-ai",product:"F.A.S.T.-AI",color:"#00AAFF",icon:"🚦",tagline:"Territoriale intelligentie, mobiliteit en dynamische verkenning van de stedelijke ruimte",sections:[{title:"2.11 Focus en Operationeel Bereik",desc:"Platform voor mobiliteit, verkeer, stedenbouw en dynamische territoriale interpretatie.",type:"list",items:["Gemeentelijke verkeers- en mobiliteitsdiensten","Stedelijke operatiecentra (COUs)","Openbare werken en stedenbouwkundige afdelingen","Verkeershandhavingsinstanties","Organisatoren van grote publieke evenementen","Snelweg- en parkeerconcessiehouders","Openbare veiligheidsdiensten — voertuigtracking en wegoperaties"]}

45,{title:"2.12 Exclusieve Infrastructuur",type:"params",params:[{param:"Draait op",value:"Servers van bedrijven verantwoordelijk voor verkeer en stedenbouw"},{param:"GPU",value:"Niet vereist (behalve complexe overtredings­analyse en SBC-verkeersongevallenpreventie op snelwegen)"},{param:"Opslag",value:"Laag — leest direct van NAS, DVR, NVR of bestaande streaming"},{param:"Compatibele bronnen",value:"Openbare wegcamera's, verkeerslichten, vaste en mobiele flitspalen — elke standaard"},{param:"Schaal",value:"Volledig stedelijk wegennet — wijken, corridors, steden"}]},{title:"2.13 Specifieke Detecties",type:"list",items:["Verkeersovertredingen — automatische boetegeneratie met bewijs","Ongelukken en voetgangersincidenten — detectie en directe melding","Filevorming — vroege detectie vóór instorting","Wegblokkades en omleidingen","Onregelmatige bezetting van openbare ruimte","Atypische gebeurtenissen die de stedelijke mobiliteit beïnvloeden","Operationele risico's op wegen en strategische gebieden","Stroompatronen, kritieke zones en herhalingen","Tracking van verdachte voertuigen — kenteken, model, kleur, route","Mensenmenigte en -dichtheid op wegen en openbare ruimtes","Automatische achtervolging indien gevraagd door operator"]},{title:"2.14 Territoriale Intelligentie (exclusief F.A.S.T.-AI)",type:"list",items:["Analyse van voertuig- en voetgangersstroompatronen per tijdstip, dag en zone","Identificatie van kritieke zones en incidentherhalingen","Ondersteuning voor weg- en stedenbouwplanningsbeslissingen met echte gegevens","Realtime territoriaal beheerdashboard voor wethouders en managers","Ondersteuning voor groot evenementenbeheer — dichtheid, stroom, relletjesrisico's","Continue generatie van strategische informatie over territoriaal gedrag"]},{title:"2.15 Commercieel Model",type:"params",params:[{param:"Licentie",value:"Gemeentelijk / provinciaal — contract met openbare mobiliteits- of veiligheidsinstantie"},{param:"Implementatie",value:"Gemeente- of concessiehouderservers — op bestaande infrastructuur"},{param:"Directe ROI",value:"Inkomsten uit automatische boetes overtreffen de platformkosten"},{param:"Pilot",value:"Inzetbaar binnen 7 werkdagen op bestaande openbare camera's"}]}]}],comparison:{title:"Vergelijkend Overzicht van de Drie Platforms",rows:[{feature:"Hoofdfocus",drakon:"Publieke sector en missiekritiek",perceptrum:"Privé- en residentiële sector",fast:"Verkeer en stedenbouw"},{feature:"Draait op",drakon:"Servers van klant (on-premise)",perceptrum:"Persoonlijke computer (i5+)",fast:"Gemeentelijke/concessieservers"},{feature:"GPU vereist",drakon:"❌ Nee",perceptrum:"❌ Nee",fast:"❌ Nee (behalve SBC)"},{feature:"Cameravervanging",drakon:"❌ Niet vereist",perceptrum:"❌ Niet vereist",fast:"❌ Niet vereist"},{feature:"Live-analyse (24/7)",drakon:"✅ Ja",perceptrum:"✅ Ja",fast:"✅ Ja"},{feature:"Opgenomen naverwerking",drakon:"✅ Ja (DVR/NVR/NAS)",perceptrum:"✅ Ja (DVR/NVR/NAS)",fast:"✅ Ja (DVR/NVR/NAS)"},{feature:"JOB's in natuurlijke taal",drakon:"✅ Ja",perceptrum:"✅ Ja",fast:"✅ Ja"},{feature:"API/Webhook-integratie",drakon:"✅ Ja",perceptrum:"✅ Ja",fast:"✅ Ja"},{feature:"Multi-cameratracking",drakon:"✅ Ja",perceptrum:"✅ Ja",fast:"✅ Ja"},{feature:"Privaat coöperatief netwerk",drakon:"✅ Coördineert zoekopdrachten",perceptrum:"✅ Neemt deel (vrijwillig)",fast:"✅ Coördineert wegzoekopdrachten"},{feature:"Gratis versie beschikbaar",drakon:"❌ Nee",perceptrum:"✅ Ja (basis)",fast:"❌ Nee"},{feature:"PoC beschikbaar",drakon:"✅ Ja",perceptrum:"❌ Nee",fast:"✅ Ja"},{feature:"Automatische boetes",drakon:"❌ Niet de focus",perceptrum:"❌ Niet de focus",fast:"✅ Ja — automatische generatie"},{feature:"Territoriale intelligentie",drakon:"Institutioneel-operationeel",perceptrum:"Privé-operationeel",fast:"✅ Territoriaal en stedelijk"},{feature:"AVG/LGPD-conform",drakon:"✅ Ja",perceptrum:"✅ Ja (by design)",fast:"✅ Ja"},{feature:"Pilotactiveringtijd",drakon:"Tot 7 werkdagen",perceptrum:"Minuten",fast:"Tot 7 werkdagen"}]}},sv:{hero:{badge:"Tekniska Specifikationer",title:"Tekniska Specs",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"Strukturerat tekniskt dokument för utvärderings-, upphandlings- och integrationsprocesser. Alla specifikationer för de tre AiQuimist-plattformarna — delade funktioner och exklusiva differentiering.",part1:"DEL 1 — Core Specs",part1sub:"Funktioner som finns på alla tre plattformar",part2:"DEL 2 — Exklusiva Specs",part2sub:"Plattformsspecifika funktioner och differentiering",part3:"Jämförande Sammanfattning"},copy:"Kopiera tabell",copied:"Kopierat!",yes:"✅ Ja",no:"❌ Nej",feature:"Funktion",capacity:"Kapacitet",detail:"Detalj",param:"Parameter",value:"Värde",sections:[{id:"s1",title:"1.1 AI-Motor — Universell Multimodal Tolkning",desc:"AiQuimist-plattform som simultant analyserar video, ljud, text och bild för att extrahera verkligt sammanhang och identifiera relevanta situationer.",type:"capabilities",items:[{label:"🎥 Video",detail

45:"Realtidsanalys av live-kameror och inspelningar. Känner igen scener, objekt, beteenden, rörelser och mönster."},{label:"🔊 Ljud",detail:"Detektering av tal, nyckelord, semantiska mönster, röstton, brådska, konflikter och konfigurerbara intressanta ljud."},{label:"📄 Text och Bild",detail:"Uppladdning och analys av filer (video, bild, ljud, text). Bevisextraktion, metadata och korskorrelation mellan källor."},{label:"Inbyggd temporal bearbetning",detail:"Analyserar rörelseflöde, inte bara isolerade bildrutor"},{label:"Massivt kontextfönster",detail:"Behåller minne av långa video-/ljudperioder för händelsekorrelation"},{label:"Realtidsanalys (live)",detail:"Kameraströmmar och ljudkanaler 24×7"},{label:"Efterbearbetning",detail:"Samma detekteringskriterier tillämpade på arkiv och inspelade filer: NVR, DVR, NAS"},{label:"Digital filuppladdning",detail:"Video, bild, ljud och text för korrelerad multimodal analys"},{label:"Identifiering av känslomässigt tillstånd",detail:"Avläsning av kroppsspråk, röstton och beteendesignaler"},{label:"AI-leverantörsabstraktion",detail:"Konfigurerbara endpoints, autentiseringsuppgifter och gränser; leverantörsbyte med minimal påverkan"}]},{id:"s2",title:"1.2 Kamera- och Källmatning",type:"mixed",items:[{label:"Universell kompatibilitet",detail:"Vilken kamera som helst, oavsett märke, tillverkare, modell eller generation"},{label:"Analogt och digitalt",detail:"Inget krav på hårdvarubyte"},{label:"Huvudprotokoll",detail:"RTSP, ONVIF och likvärdiga HTTP/fil-metoder"},{label:"DVR / NVR / NAS",detail:"Läser utrustning som redan är installerad hos kunden"},{label:"Massimport",detail:"Excel eller CSV med kamerametadata (IP, tillverkare, användare, lösenord, port osv.)"},{label:"Fristående drift",detail:"Helt lokalt via internt nätverk — ingen ström exponerad för internet"},{label:"Nätverkssäkerhet",detail:"Inga öppna portar för fjärråtkomst eller NAT/tunnelkonfigurationer"},{label:"Skalbarhet",detail:"1 till N kameror/ljudkanaler parallellt"},{label:"Strömtillgänglighet",detail:"Övervakning och automatisk återhämtning efter fel"}]},{id:"s3",title:"1.3 Uppgiftsorkestration — JOB / STEP",desc:"Intelligent automatiseringssystem som ersätter mänskliga operatörer i övervakningsrutiner. Skapat via prompter på naturligt språk — ingen kod, ingen programmering.",type:"capabilities",items:[{label:"JOB (uppgift)",detail:"Övervakningsenhet som läser 1 eller N kameror/kanaler och agerar utifrån definierade villkor"},{label:"STEP (steg)",detail:"Varje JOB består av flera kedjade steg; resultatet av en kamera (output) matar nästa (input)"},{label:"Flera källor per steg",detail:"Varje STEP kan aktivera 1 eller flera kameror och/eller 1 eller flera ljudkanaler"},{label:"Intelligent kedning",detail:"Kognitiva beroenden mellan steg; flödet ändras baserat på föregående resultat"},{label:"Inbyggda villkorliga beslut",detail:"Grenar, avbrott, upprepning eller eskalering baserat på faktiskt resultat"},{label:"Prompt per kanal",detail:"Varje kamera eller ljudkanal får en specifik prompt inom samma JOB (körning, larm och negativt)"},{label:"Schemaläggning",detail:"Körning på schemalagda dagar och tider, med definierad eller kontinuerlig varaktighet"},{label:"Omedelbar aktivering/deaktivering",detail:"Ingen omkonfigurering krävs"},{label:"Uppgiftsversionshantering",detail:"Historik av konfigurationer och prompter"},{label:"Skapad av icke-tekniker",detail:"Operatörer utan teknisk kunskap skapar kompletta JOBs via gränssnitt med intelligent agent"}],params:[{param:"JOB-skapande",value:"Naturligt språk (text eller röst) — ingen kod"},{param:"Kedning",value:"STEP N använder kognitivt resultat från STEP N-1"},{param:"Källor per STEP",value:"1 eller flera kameror + 1 eller flera ljudkanaler"},{param:"Schemaläggning",value:"Datum, tid, varaktighet och upprepning konfigurerbara"}]},{id:"s4",title:"1.4 Detektions- och Klassificeringsförmågor",type:"grouped",groups:[{label:"Videobaserad detektion (datorseende / multimodal)",items:["Identifiering av relevanta situationer och åtgärder per konfigurerade prompter","Igenkänning av intressepersoner — bevakningslista med automatisk händelsekoppling","Personräkning med villkorliga utlösare (mer än X / mindre än X / exakt X)","Spårning av 1 eller flera individer/fordon över tid","Multi-kameraspårning med återidentifiering — följer förflyttning mellan kameror A → N → B","Ruttavvikelsedetektion och kränkning av förväntad bana","Avläsning av registreringsskyltar, skyltar och textinnehåll synligt i kameran","Identifiering av konfigurerbara handgester och teckenspråksgester (när definierat i prompt)","Detektion av känslomässigt tillstånd och förkonflikts kroppsspråk"]},{label:"Ljudbaserad detektion (tal / ljud / multimodal)",items:["Realtids- och inspelad ljudanalys med transkription (STT) när tillämpligt","Diarisering — talarsekreation och -identifiering med sammanfattning per talare och hela konversationssammanfattning","Detektion av uttalade nyckelord per parametrering","Detektion av konfigurerbara fraser och semantiska mönster","Detektion av talsmönster som indikerar händelser — brådska, konflikt, upprepning","Markering av relevanta utdrag för revision"]},{label:"Larmsystem",items:["Larm vid uppfyllt villkor — t.ex.: 'grupp med X individer detekterad vid punkt A'","Larm vid ICKE uppfyllt villkor — t.ex.: 'individ passerade inte kamera Y inom tidsram T'","Larm med passagesekvenslogik — k

45onfigurerbart flerpoints-arbetsflöde","Konfigurerbara utlösare, tidsfönster och korrelationskriterier","Konfigurerbara allvarlighetsnivåer, mottagare och meddelandekanaler","Bevis kopplade till larm — bildrutor, videoklipp, ljudsegment","Registrering av larmets livscykel — generering, dirigering, mottagning och stängning"]}]},{id:"s5",title:"1.5 Kontextualisering och Bevisgenerering",type:"capabilities",items:[{label:"Automatisk kontextuell beskrivning",detail:"Genererad på naturligt språk för varje detekterad händelse"},{label:"Strukturerade metadata",detail:"Källa, datum/tid, logisk plats, händelsetyp, allvarlighetsgrad"},{label:"Automatisk korrelation",detail:"Samma individ, samma område, samma intervall — över flera källor"},{label:"Bevisextraktion",detail:"Bildrutor, videoklipp, ljudsegment, igenkänd text"},{label:"Inferensspårbarhet",detail:"Loggar och revision av alla detekteringar"},{label:"Operativa rapporter",detail:"Fullständigt revisionsspår"}]},{id:"s6",title:"1.6 Drift på Naturligt Språk",desc:"Vilken operatör som helst — utan teknisk utbildning — skapar, konfigurerar och driver kompletta JOBs med text eller röst. Ingen programmering, skript eller externa verktyg.",type:"capabilities",items:[{label:"Frågor på naturligt språk",detail:"Frågor med kontextualiserade svar"},{label:"Text- och röstkommandon",detail:"Skapande, redigering och aktivering av uppgifter"},{label:"Fullständig konfiguration via prompt",detail:"Övervakning, larm, utlösare och mottagare"},{label:"Styrningskontroller",detail:"Bekräftelse för kritiska åtgärder, profilbaserade begränsningar"},{label:"Revisionsspår",detail:"Registrering av alla kommandon och ändringar"}]},{id:"s7",title:"1.7 Externa Integrationer — API och Webhook",type:"capabilities",items:[{label:"Automatisk webhook-aktivering",detail:"Externa API-anrop baserade på definierade villkor"},{label:"Konfiguration av icke-tekniker",detail:"Via prompt på naturligt språk"}

45,{label:"Strukturerad payload",detail:"Metadata och bevis i JSON"},{label:"Autentisering av externa anrop",detail:"Tokens, nycklar, signaturer och behörighetslistor"},{label:"Förfrågningsrevision",detail:"Fullständig logg över alla externa anrop"},{label:"Felhantering",detail:"Återförsök, köer och loggar"},{label:"Interoperabilitet",detail:"Instrumentpaneler, meddelanden, registrerings- och hanteringssystem"}],params:[{param:"Protokoll",value:"REST API + Webhooks"},{param:"Payload",value:"Strukturerad JSON med metadata, bevis och sammanhang"},{param:"Autentisering",value:"Tokens, nycklar, signaturer och behörighetslistor"},{param:"Revision",value:"Fullständig logg över alla externa anrop"}]},{id:"s8",title:"1.8 Förbrukningsstatistik och Kostnadshantering",type:"capabilities",items:[{label:"Statistik per JOB/STEP",detail:"Detaljerad registrering och tillgänglighet"},{label:"Statistik per kamera/ljudkanal",detail:"Individualiserad förbrukning per källa"},{label:"Statistik per användare/profil",detail:"Användningsspårning per operatör"},{label:"Token- och förfrågningsräkning",detail:"Uppskattningar och verkliga värden med latens"},{label:"Kostnader per dimension",detail:"JOB, kamera och användare"},{label:"Kvoter och kostnadsställen",detail:"Stöd för kvoter och avdelningssegregering"}]}

45,{id:"s9",title:"1.9 Hårdvarukrav",type:"params",params:[{param:"GPU",value:"Krävs ej — ingen av de tre plattformarna"},{param:"GPU (F.A.S.T.-AI)",value:"Används för vissa komplexa trafikbrott och SBC-lösning för olycksprevention på motorvägar"},{param:"Proprietär hårdvara",value:"Krävs ej — integreras med befintlig infrastruktur"},{param:"Kameror",value:"Inget byte — kompatibelt med alla installerade enheter"},{param:"Stöd för OS",value:"Windows (inbyggd kompatibilitet)"},{param:"Driftsättning",value:"On-premises, publik/privat molntjänst (nationellt territorium) eller hybrid"},{param:"Aktivering",value:"Dagar, inte månader — pilot driftsättbar inom 7 arbetsdagar"}]},{id:"s10",title:"1.10 Informationssäkerhet, Styrning och Dataskydd",type:"capabilities",items:[{label:"RBAC-åtkomstkontroll",detail:"Funktionssegregering och minsta behörighet"},{label:"Fullständiga revisionsspår",detail:"Driftsloggar, kommandon, konfigurationsändringar och prompter"},{label:"Dataskydd",detail:"Under transport och i vila"},{label:"Lagrings- och raderingspolicyer",detail:"Pseudonymisering/anonymisering när tillämpligt"},{label:"Åtkomstprofilhantering",detail:"Operativa begränsningar per nivå"},{label:"GDPR/LGPD-efterlevnad",detail:"Minimering, ändamål, nödvändighet och ansvarsskyldighet"},{label:"Autentiseringsuppgifter-lagring",detail:"Windows Credential Manager/DPAPI eller likvärdigt — klartext-lagring förbjuden"}]},{id:"s11",title:"1.11 Tillgänglighet och Operativ Kontinuitet",type:"capabilities",items:[{label:"24×7-drift",detail:"Kontinuerlig övervakning utan avbrott"},{label:"Automatisk återhämtning",detail:"Strömåterupptagning vid fel utan ingripande"},{label:"Anslutningsmisslyckande-motståndskraft",detail:"Ombearbetning av inspelat innehåll"},{label:"Köer och ombearbetning",detail:"Täckningsgaranti utan luckor"},{label:"Hög tillgänglighet",detail:"Redundans, replikering och balansering när konfigurerade"}]},{id:"s12",title:"1.12 Integration med Privat Kooperativt Nätverk",desc:"Exklusiv kapacitet i AiQuimist-ekosystemet: privata kameror från frivilliga användare deltar automatiskt i offentliga sökningar — utan att sända video, utan att öppna nätverksportar.",type:"capabilities",items:[{label:"Gratis distribution",detail:"Windows-lösning distribuerad till privata användare nationellt"},{label:"Parkopplingsmekanism",detail:"Aktiveringskod, enhetslänkning och återkallelse"},{label:"Enbart auktoriserade endpoints",detail:"Enbart auktoriserade endpoints kan konsumera eller publicera data/händelser"},{label:"Lokal detektion och avisering",detail:"Analys sker på den privata användarens dator"},{label:"Matchningsavisering",detail:"Automatisk till central plattform vid bevakningslistematchning"},{label:"Strukturerat larm",detail:"Individbild med overlay, datum/tid, kamera, fullständig adress, GPS, konfidensnivå, identifierare"},{label:"Re-ID-algoritmer",detail:"Återidentifiering och, när tillämpligt och auktoriserat, ansiktsigenkänning"},{label:"Frivilligt deltagande",detail:"Användaren bestämmer om samarbete ska aktiveras och vilka kameror som deltar"},{label:"Privacy by design",detail:"Inga öppna portar, inga kontinuerligt sända strömmar"},{label:"Full GDPR/LGPD-efterlevnad",detail:"Lokal analys, delning av enbart relevant resultat"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"Institutionell intelligens för offentliga operationer och verksamhetskritiska miljöer",sections:[{title:"2.1 Fokus och Operativt Omfång",desc:"Plattform avsedd för den offentliga, institutionella och höggravitationssektorn. Verkar på storskaliga kameranätverk.",type:"list",items:["Kommuner, regionala och federala regeringar","Poliskårer, kommunal ordningsvakt och säkerhetsmyndigheter","Integrerade lednings- och kontrollcenter (CIOPs)","Fängelser och kriminalvårdsanstalter","Flygplatser, hamnar och terminaler","Gränser och nationell kritisk infrastruktur","Offentliga företag och stora privata företag med komplexa verksamheter","Stora privata företag: banker, logistik och andra"]},{title:"2.2 Exklusiv Infrastruktur",type:"params",params:[{param:"Körs på",value:"Kundens egna servrar (on-premise)"},{param:"Datasäkerhet",value:"100% internt — ingen information exponerad för internet"},{param:"GPU",value:"Krävs ej"},{param:"Servrar",value:"Konventionella — dedikerade till databas och simultant kameraavläsning"},{param:"Skala",value:"Stora institutionella nätverk — dussintals till tusentals kameror"}]},{title:"2.3 Specifika Detekteringar",type:"list",items:["Misstänkta rörelser i perimetrar, åtkomstpunkter och kritiska miljöer","Beteenden oförenliga med känsliga områden","Intrång och obehöriga åtkomstförsök","Konflikter och våldsamma situationer","Flyktförsök i förvaringsinrättningar","Närvaro av vapen","Övergivna föremål på riskplatser","Plötsliga förändringar i beteendemönster","Onormal folksamling vid kritiska pu

45nkter","Risksituationer i verksamhetskritiska miljöer — flygplatser, gränser, fängelser","Temporal Motor: kör prompt och systemet fortsätter utan mänskligt ingripande"]},{title:"2.4 Kooperativt Nätverkskoordinering",type:"list",items:["Utlöser sökningar och spårningar som sprids över hela det offentliga och kooperativa privata nätverket","Tar emot automatiska meddelanden från Perceptrum vid bevakningslistematchningar","Koordinerar integrerade operationer mellan offentligt, trafikutrymme (F.A.S.T.) och privat (Perceptrum)","Centraliserar larm, bevis och spårningsspår för hela det integrerade nätverket"]},{title:"2.5 Affärsmodell",type:"params",params:[{param:"Licensiering",value:"Institutionell — kontrakt med offentlig myndighet eller företag"},{param:"Driftsättning",value:"On-premise på kundens servrar"},{param:"Support",value:"Onboarding och konfiguration inkluderade"},{param:"Pilot",value:"Driftsättbar inom 7 arbetsdagar på befintlig infrastruktur"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"Multimodal intelligens för privat miljö — från hemmet till storföretaget",sections:[{title:"2.6 Fokus och Operativt Omfång",desc:"Plattform avsedd för den privata, kommersiella, bostads- och bostadsrättssektorn. Demokratiserar tillgången till avancerad övervakningsintelligens.",type:"list",items:["Bostäder och hus","Bostadsrätts- och hyresfastigheter","Små och medelstora företag","Detaljhandelskedjor och butiker","Banker och finansiella institutioner","Köpcentrum och parkeringsplatser","Privata skolor och universitet","Privata sjukhus och kliniker","Lager och logistikanläggningar","Gårdar och lantliga fastigheter"]},{title:"2.7 Exklusiv Infrastruktur",type:"params",params:[{param:"Körs på",value:"Användarens personliga dator (hem eller företag)"},{param:"Minimumprocessor",value:"Intel i5 eller bättre"},{param:"GPU",value:"Krävs ej"},{param:"Lagring",value:"Diskutrymme för temporära bilder under analys"},{param:"DVR/NVR",value:"Inbyggd avläsning för sökningar i tidigare inspelningar"},{param:"Aktivering",value:"Minuter — kameraimport via CSV och omedelbar start"}]},{title:"2.8 Specifika Detekteringar",type:"list",items:["Mönsteravvikande rörelser vid ovanliga tider eller platser","Stöld, rån och överfall — typiska subtraktionsbeteenden","Obehörig närvaro i begränsade områden","Perimeterrisk och intrångsförsök","Hjälprop — nödgester och -beteenden","Övergivna misstänkta föremål","Operativa avvikelser i processer (logistik, lager, leveranser)","Automatiserad processverifiering: fordon, registreringsskylt, leverantör, volymräkning","Konfigurerbara händelser per miljötyp — profil per installation","Lokaliserar överträdare av skyddsorder (restraining orders osv.)"]},{title:"2.9 Frivilligt Samarbete (exklusivt Perceptrum)",type:"list",items:["Frivillig samarbetsflagga — ägaren bestämmer om aktivering och vilka kameror deltar","Vid aktivering: kameran deltar i sökningar utfärdade av Perceptrum Corporate eller F.A.S.T.-AI","Analys utförd lokalt — på den privata användarens dator","Ingen kontinuerlig videoström skickad till det offentliga centret","Inga externt öppnade nätverksportar","Enbart resultatet (matchning) skickas till centret — inte bilderna","Larm inkluderar: individbild med overlay, datum/tid, kamera, adress, GPS, konfidensnivå","Deltagande kan återkallas när som helst av ägaren","Full GDPR/LGPD-efterlevnad — privacy by architectural design"]},{title:"2.10 Affärsmodell",type:"params",params:[{param:"Gratis version",value:"Grundläggande övervakningsfunktioner — kostnadsfritt, inget kreditkort"},{param:"Premiumversion",value:"Full tillgång — prisvärd månadsvis licens"},{param:"Offentligt samarbete",value:"Gratis för den privata användaren — kostnad betalas av offentlig myndighet per förfrågan"},{param:"Kostnad för staten",value:"Ören per sökning — betalt enbart när sökningen aktiveras"},{param:"Distribution",value:"Distribuerbar till privata användare nationellt"}]}]},{id:"fast-ai",product:"F.A.S.T.-AI",color:"#00AAFF",icon:"🚦",tagline:"Territoriell intelligens, mobilitet och dynamisk avläsning av stadsrummet",sections:[{title:"2.11 Fokus och Operativt Omfång",desc:"Plattform avsedd för mobilitet, trafik, stadsplanering och dynamisk territoriell tolkning.",type:"list",items:["Kommunala trafik- och mobilitetsavdelningar","Stadliga driftscentra (COUs)","Avdelningar för offentliga arbeten och stadsplanering","Trafikövervakningsorgan","Arrangörer av stora offentliga evenemang","Motorvägs- och parkeringskoncessionärer","Offentliga säkerhetsstyrkor — fordonsuppföljning och vägoperationer"]}

45,{title:"2.12 Exklusiv Infrastruktur",type:"params",params:[{param:"Körs pÃ¥",value:"Servrar hos företag ansvariga för trafik och stadsplanering"},{param:"GPU",value:"Krävs ej (utom komplex trafikbrottsanalys och SBC-olycksprevention pÃ¥ motorvägar)"},{param:"Lagring",value:"LÃ¥g — läser direkt frÃ¥n NAS, DVR, NVR eller befintlig streaming"},{param:"Kompatibla källor",value:"Offentliga vägkameror, trafikljus, fasta och mobila radarer — alla standarder"},{param:"Skala",value:"Fullständigt stadsvägnätverk — stadsdelar, korridorer, städer"}]},{title:"2.13 Specifika Detekteringar",type:"list",items:["Trafikbrott — automatisk bötesräkning med bevis","Olyckor och pÃ¥körningar av fotgängare — detektion och omedelbar avisering","Trafikköbildning — tidig detektion innan kollaps","Vägblockader och omledningar","Oreglerad användning av offentlig plats","Atypiska händelser som pÃ¥verkar stadsrörligheten","Operativa risker pÃ¥ vägar och strategiska omrÃ¥den","Flödesmönster, kritiska zoner och Ã¥terkommande händelser","SpÃ¥rning av misstänkta fordon — registreringsskylt, modell, färg, rutt","Personkoncentration och -täthet pÃ¥ vägar och offentliga platser","Automatisk förföljelse om operatören begär det"]},{title:"2.14 Territoriell Intelligens (exklusivt F.A.S.T.-AI)",type:"list",items:["Analys av fordons- och fotgängarflödesmönster per tid, dag och zon","Identifiering av kritiska zoner och incidentÃ¥terkommanden","Stöd för väg- och stadsplanerarbeslut med verklig data","Realtids-instrumentpanel för territoriell förvaltning för ministrar och chefer","Stöd för hantering av stora evenemang — densitet, flöde, upploppsrisker","Kontinuerlig generering av strategisk information om territoriellt beteende"]},{title:"2.15 Affärsmodell",type:"params",params:[{param:"Licensiering",value:"Kommunal / regional — kontrakt med offentlig mobilitets- eller säkerhetsmyndighet"},{param:"Driftsättning",value:"Kommunens eller koncessionärens servrar — pÃ¥ befintlig infrastruktur"},{param:"Direkt ROI",value:"Intäkter frÃ¥n automatiska böter överstiger plattformskostnaden"},{param:"Pilot",value:"Driftsättbar inom 7 arbetsdagar pÃ¥ befintliga offentliga kameror"}]}]}],comparison:{title:"Jämförande Sammanfattning av de Tre Plattformarna",rows:[{feature:"Huvudfokus",drakon:"Offentlig sektor och verksamhetskritisk",perceptrum:"Privat och bostadssektor",fast:"Trafik och stadsplanering"},{feature:"Körs pÃ¥",drakon:"Kundens servrar (on-premise)",perceptrum:"Personlig dator (i5+)",fast:"Kommunala/koncessionärservrar"},{feature:"GPU krävs",drakon:"❌ Nej",perceptrum:"❌ Nej",fast:"❌ Nej (utom SBC)"},{feature:"Kamerabyte",drakon:"❌ Krävs ej",perceptrum:"❌ Krävs ej",fast:"❌ Krävs ej"},{feature:"Live-analys (24/7)",drakon:"✅ Ja",perceptrum:"✅ Ja",fast:"✅ Ja"},{feature:"Inspelad efterbearbetning",drakon:"✅ Ja (DVR/NVR/NAS)",perceptrum:"✅ Ja (DVR/NVR/NAS)",fast:"✅ Ja (DVR/NVR/NAS)"},{feature:"JOBs pÃ¥ naturligt sprÃ¥k",drakon:"✅ Ja",perceptrum:"✅ Ja",fast:"✅ Ja"},{feature:"API/Webhook-integration",drakon:"✅ Ja",perceptrum:"✅ Ja",fast:"✅ Ja"},{feature:"Multi-kameraspÃ¥rning",drakon:"✅ Ja",perceptrum:"✅ Ja",fast:"✅ Ja"},{feature:"Privat kooperativt nätverk",drakon:"✅ Koordinerar sökningar",perceptrum:"✅ Deltar (frivilligt)",fast:"✅ Koordinerar vägsökningar"},{feature:"Gratisversion tillgänglig",drakon:"❌ Nej",perceptrum:"✅ Ja (bas)",fast:"❌ Nej"},{feature:"PoC tillgänglig",drakon:"✅ Ja",perceptrum:"❌ Nej",fast:"✅ Ja"},{feature:"Automatiska böter",drakon:"❌ Inte fokus",perceptrum:"❌ Inte fokus",fast:"✅ Ja — automatisk generering"},{feature:"Territoriell intelligens",drakon:"Institutionellt-operativ",perceptrum:"Privat-operativ",fast:"✅ Territoriell och urban"},{feature:"GDPR/LGPD-efterlevnad",drakon:"✅ Ja",perceptrum:"✅ Ja (by design)",fast:"✅ Ja"},{feature:"Pilotaktivingstid",drakon:"Upp till 7 arbetsdagar",perceptrum:"Minuter",fast:"Upp till 7 arbetsdagar"}]}},ru:{hero:{badge:"Технические Спецификации",title:"Технические Specs",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"Структурированный технический документ для процессов оценки, закупки и интеграции. Ð

45’се спецификации трёх платформ AiQuimist — общие возможности и эксклюзивные отличия.",part1:"ЧАСТЬ 1 — Core Specs",part1sub:"Функции, присутствующие на всех трёх платформах",part2:"ЧАСТЬ 2 — Эксклюзивные Specs",part2sub:"Специфические для каждого продукта функции и отличия",part3:"Сравнительная Сводка"},copy:"Копировать таблицу",copied:"Скопировано!",yes:"✅ Да",no:"❌ Нет",feature:"Характеристика",capacity:"Возможность",detail:"Детали",param:"Параметр",value:"Значение",sections:[{id:"s1",title:"1.1 Движок ИИ — Универсальная Мультимодальная Интерпретация",desc:"Платформа AiQuimist, которая одновременно анализирует видео, аудио, текст и изображения для извлечения реального контекста и выявления значимых ситуаций.",type:"capabilities",items:[{label:"🎥 Видео",detail:"Анализ в реальном времени с живых камер и записей. Распознаёт сцены, объекты, поведение, движения и паттерны."},{label:"🔊 Аудио",detail:"Обнаружение речи, ключевых слов, семантических паттернов, тона голоса, срочности, конфликтов и настраиваемых звуков интереса."},{label:"📄 Текст и Изображение",detail:"Загрузка и анализ файлов (видео, изображение, аудио, текст). Извлечение доказательств, метаданных и кросс-корреляция источников."},{label:"Нативная темпоральная обработка",detail:"Анализ плавности движения, а не только отдельных кадров"},{label:"Массивное контекстное окно",detail:"Сохраняет память о длительных периодах видео/аудио для корреляции событий"},{label:"Анализ в реальном времени (живое)",detail:"Потоки с камер и аудиоканалы 24×7"},{label:"Постобработка",detail:"Те же критерии обнаружения применяются к архивам и записанным файлам: NVR, DVR, NAS"},{label:"Загрузка цифровых файлов",detail:"Видео, изображение, аудио и текст для коррелированного мультимодального анализа"},{label:"Определение эмоционального состояния",detail:"Чтение языка тела, тона голоса и поведенческих сигналов"},{label:"Абстракция поставщиков ИИ",detail:"Настраиваемые конечные точки, учётные данные и лимиты; смена поставщика с минимальным воздействием"}]},{id:"s2",title:"1.2 Приём Камер и Источников",type:"mixed",items:[{label:"Универсальная совместимость",detail:"Любая камера, независимо от бренда, производителя, модели или поколения"},{label:"Аналоговое и цифровое",detail:"Замена оборудования не требуется"}

45,{label:"Основной протокол",detail:"RTSP, ONVIF и эквивалентные HTTP/файловые методы"},{label:"DVR / NVR / NAS",detail:"Чтение оборудования, уже установленного у клиента"},{label:"Массовый импорт",detail:"Excel или CSV с метаданными камер (IP, производитель, пользователь, пароль, порт и т.д.)"},{label:"Автономная работа",detail:"Полностью локально через внутреннюю сеть — без передачи потоков в интернет"},{label:"Сетевая безопасность",detail:"Никаких открытых портов для удалённого доступа или конфигурации NAT/туннелей"},{label:"Масштабируемость",detail:"От 1 до N камер/аудиоканалов параллельно"},{label:"Доступность потоков",detail:"Мониторинг и автоматическое восстановление после сбоев"}]},{id:"s3",title:"1.3 Оркестрация Задач — JOB / STEP",desc:"Интеллектуальная система автоматизации, заменяющая операторов-людей в рутинах наблюдения. Создаётся с помощью подсказок на естественном языке — без кода, без программирования.",type:"capabilities",items:[{label:"JOB (задача)",detail:"Единица мониторинга, считывающая 1 или N камер/каналов и действующая по заданным условиям"},{label:"STEP (шаг)",detail:"Каждый JOB состоит из нескольких связанных шагов; результат одной камеры (выход) питает следующую (вход)"},{label:"Несколько источников на шаг",detail:"Каждый STEP может активировать 1 или более камер и/или 1 или более аудиоканалов"},{label:"Интеллектуальное связывание",detail:"Когнитивная зависимость между шагами; поток меняется в зависимости от предыдущего результата"},{label:"Нативные условные решения",detail:"Ветвления, прерывание, повторение или эскалация на основе реального результата"},{label:"Подсказка на канал",detail:"Каждая камера или аудиоканал получает специфическую подсказку в рамках того же JOB"},{label:"Планирование",detail:"Выполнение в запланированные дни и время, с заданной или непрерывной продолжительностью"},{label:"Мгновенная активация/деактивация",detail:"Перенастройка не требуется"},{label:"Версионирование задач",detail:"История конфигураций и подсказок"},{label:"Создание нетехническими пользователями",detail:"Операторы без технических знаний создают полные JOBs через интерфейс с интеллектуальным агентом"}],params:[{param:"Создание JOBs",value:"Естественный язык (текст или голос) — без кода"},{param:"Связывание",value:"STEP N использует когнитивный результат STEP N-1"},{param:"Источники на STEP",value:"1 или более камер + 1 или более аудиоканалов"},{param:"Планирование",value:"Дата, время, продолжительность и периодичность настраиваются"}]},{id:"s4",title:"1.4 Возможности Обнаружения и Классификации",type:"grouped",groups:[{label:"Обнаружение на основе видео (компьютерное зрение / мультимодальное)",items:["Выявление значимых ситуаций и действий согласно настроенным подсказкам","Распознавание лиц, представляющих интерес — список наблюдения с автоматической привязкой событий","Подсчёт людей с условными триггерами (больше X / меньше X / ровно X)","Слежение за 1 или несколькими людьми/транспортными средствами во времени","Мультикамерное слежение с повторной идентификацией — отслеживает перемещение между камерами A → N → B","Обнаружение отклонения от маршрута и нарушения ожидаемой траектории","Считывание номерных знаков, вывесок и текстового содержимого на камере","Распознавание настраиваемых жестов руки и жестового языка (при определении в подсказке)","Обнаружение эмоционального состояния и предконфликтного языка тела"]},{label:"Обнаружение на основе аудио (речь / звуки / мультимодальное)",items:["Анализ живого и записанного аудио с транскрипцией (STT) при необходимости","Диаризация — разделение и идентификация говорящих с резюме по каждому говорящему и всей беседе","Обнаружение произнесённых ключевых слов по параметризации","Обнаружение настраиваемых фраз и семантических паттернов","Обнаружение речевых паттернов, указ

45ывающих на события — срочность, конфликт, повторение","Выделение значимых фрагментов для аудита"]},{label:"Система оповещений",items:["Оповещение при выполненном условии — напр.: 'группа из X человек обнаружена в точке A'","Оповещение при НЕ выполненном условии — напр.: 'человек не прошёл камеру Y в течение времени T'","Оповещения с логикой последовательности прохождений — настраиваемый многоточечный рабочий процесс","Настраиваемые триггеры, временны́е окна и критерии корреляции","Настраиваемые уровни серьёзности, получатели и каналы уведомлений","Доказательства, прикреплённые к оповещениям — кадры, видеоклипы, аудиосегменты","Запись жизненного цикла оповещения — генерация, маршрутизация, получение и закрытие"]}]},{id:"s5",title:"1.5 Контекстуализация и Генерация Доказательств",type:"capabilities",items:[{label:"Автоматическое контекстное описание",detail:"Генерируется на естественном языке для каждого обнаруженного события"},{label:"Структурированные метаданные",detail:"Источник, дата/время, логическое местоположение, тип события, серьёзность"},{label:"Автоматическая корреляция",detail:"Тот же человек, та же зона, тот же интервал — по нескольким источникам"},{label:"Извлечение доказательств",detail:"Кадры, видеоклипы, аудиосегменты, распознанный текст"},{label:"Отслеживаемость выводов",detail:"Журналы и аудит всех обнаружений"},{label:"Операционные отчёты",detail:"Полный аудиторский след"}]},{id:"s6",title:"1.6 Работа на Естественном Языке",desc:"Любой оператор — без технической подготовки — создаёт, настраивает и управляет полными JOBs, используя текст или голос. Никакого программирования, скриптов или внешних инструментов.",type:"capabilities",items:[{label:"Запросы на естественном языке",detail:"Вопросы с контекстуализированными ответами"},{label:"Текстовые и голосовые команды",detail:"Создание, редактирование и активация задач"},{label:"Полная настройка через подсказку",detail:"Мониторинг, оповещения, триггеры и получатели"},{label:"Контроль управления",detail:"Подтверждение для критических действий, ограничения по профилю"},{label:"Аудиторский след",detail:"Запись всех команд и изменений"}]},{id:"s7",title:"1.7 Внешние Интеграции — API и Webhook",type:"capabilities",items:[{label:"Автоматический запуск вебхуков",detail:"Вызовы внешних API на основе заданных условий"},{label:"Настройка нетехническими пользователями",detail:"Через подсказку на естественном языке"},{label:"Структурированная нагрузка",detail:"Метаданные и доÐ

45ºÐ°Ð·Ð°Ñ‚ельства в JSON"},{label:"Аутентификация внешних вызовов",detail:"Токены, ключи, подписи и списки разрешений"},{label:"Аудит запросов",detail:"Полный журнал всех внешних вызовов"},{label:"Обработка ошибок",detail:"Повторные попытки, очереди и журналы"},{label:"Интероперабельность",detail:"Панели мониторинга, обмен сообщениями, системы регистрации и управления"}],params:[{param:"Протокол",value:"REST API + Webhooks"},{param:"Нагрузка",value:"Структурированный JSON с метаданными, доказательствами и контекстом"},{param:"Аутентификация",value:"Токены, ключи, подписи и списки разрешений"},{param:"Аудит",value:"Полный журнал всех внешних вызовов"}]},{id:"s8",title:"1.8 Метрики Потребления и Управление Затратами",type:"capabilities",items:[{label:"Метрики по JOB/STEP",detail:"Детальная запись и доступность"},{label:"Метрики по камере/аудиоканалу",detail:"Индивидуализированное потребление на источник"},{label:"Метрики по пользователю/профилю",detail:"Отслеживание использования по оператору"},{label:"Подсчёт токенов и запросов",detail:"Оценки и реальные значения с задержкой"},{label:"Затраты по измерению",detail:"JOB, камера и пользователь"},{label:"Квоты и центры затрат",detail:"Поддержка квот и разделения по отделам"}]},{id:"s9",title:"1.9 Требования к Оборудованию",type:"params",params:[{param:"GPU",value:"Не требуется — ни одна из трёх платформ"},{param:"GPU (F.A.S.T.-AI)",value:"Используется для некоторых сложных нарушений и решения SBC для предотвращения аварий на шоссе"},{param:"Проприетарное оборудование",value:"Не требуется — интегрируется с существующей инфраструктурой"},{param:"Камеры",value:"Без замены — совместимо с любым установленным оборудованием"},{param:"Поддерживаемая ОС",value:"Windows (нативная совместимость)"},{param:"Развёртывание",value:"On-premises, публичное/частное облако (национальная территория) или гибрид"},{param:"Активация",value:"Дни, не месяцы — пилот развёртывается в течение 7 рабочих дней"}]},{id:"s10",title:"1.10 Информационная Безопасность, Управление и Защита Данных",type:"capabilities",items:[{label:"Контроль доступа RBAC",detail:"Разделение функций и наименьший привилегий"},{label:"Полные аудиторские следы",detail:"Операционные журналы, команды, изменения конфигурации и подсказки"},{label:"Защита данных",detail:"В транзите и в покое"},{label:"Политики хранения и удаления",detail:"Псевдонимизация/анонимизация при необходимости"},{label:"Управление профилями доступа",detail:"Операционные ограничения по уровню"},{label:"Соответствие GDPR/LGPD",detail:"Минимизация, цель, необходимость и ответственность"}

45,{label:"Хранение учётных данных",detail:"Windows Credential Manager/DPAPI или эквивалент — хранение открытого текста запрещено"}]},{id:"s11",title:"1.11 Доступность и Операционная Непрерывность",type:"capabilities",items:[{label:"Работа 24×7",detail:"Непрерывный мониторинг без перебоев"},{label:"Автоматическое восстановление",detail:"Возобновление потока после сбоев без вмешательства"},{label:"Устойчивость к потере связи",detail:"Повторная обработка записанного контента"},{label:"Очереди и повторная обработка",detail:"Гарантия покрытия без пробелов"},{label:"Высокая доступность",detail:"Резервирование, репликация и балансировка при настройке"}]},{id:"s12",title:"1.12 Интеграция с Частной Кооперативной Сетью",desc:"Эксклюзивная возможность экосистемы AiQuimist: частные камеры добровольных пользователей автоматически участвуют в публичных поисках — без передачи видео, без открытия сетевых портов.",type:"capabilities",items:[{label:"Бесплатное распространение",detail:"Решение для Windows, распространяемое частным пользователям по всей стране"},{label:"Механизм сопряжения",detail:"Код активации, привязка и отзыв устройства"},{label:"Только авторизованные конечные точки",detail:"Только авторизованные конечные точки могут использовать или публиковать данные/события"},{label:"Локальное обнаружение и уведомление",detail:"Анализ происходит на компьютере частного пользователя"},{label:"Уведомление о совпадении",detail:"Автоматически на центральную платформу при совпадении со списком наблюдения"},{label:"Структурированное оповещение",detail:"Изображение человека с наложением, дата/время, камера, полный адрес, GPS, уровень доверия, идентификатор"},{label:"Алгоритмы Re-ID",detail:"Повторная идентификация и, при необходимости и авторизации, распознавание лиц"},{label:"Добровольное участие",detail:"Пользователь решает, активировать ли сотрудничество и какие камеры участвуют"},{label:"Конфиденциальность по проекту",detail:"Никаких открытых портов, никаких непрерывно передаваемых потоков"},{label:"Полное соответствие GDPR/LGPD",detail:"Локальный анализ, передача только соответствующего результата"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"Институциональный интеллект для публичных операций и критически важных сред",sections:[{title:"2.1 Фокус и Операционный Охват",desc:"Платформа для государственного, институционального и высококритичного корпоративного секторов. Работает с крупными сетями камер.",type:"list",items:["Муниципалитеты, региональные и федеральные правительства","Полицейские силы, муниципальные охранники и службы безопасности","Интегрированные центры командования и управления (CIOPs)","Тюрьмы и исправительные учреждения","Аэропорты, порты и терминалы","Границы и объекты критической национальной инфраструктуры","Государственные предприятия и крупные частные корпорации со сложными операциями","Крупные частные компании: банки, логистика и другие"]},{title:"2.2 Эксклюзивная Инфраструктура",type:"params",params:[{param:"Работает на",value:"Собственных серверах клиента (on-premise)"},{param:"Безопасность данных",value:"100% внутренняя — никакая информация не выходит в интернет"},{param:"GPU",value:"Не требуется"},{param:"Серверы",value:"Обычные — выделенные для базы данных и одновременного считывания камер"},{param:"Масштаб",value:"Крупные институциональные сети — от десятков до тысяч камер"}]},{title:"2.3 Специфические Обнаружения",type:"list",items:["Подозрительные движения в периметрах, точках доступа и критических средах","Поведение, несовместимое с чувствительными зонами","Вторжения и попытки несанкционированного доступа","Конфликты и насильственные ситуации","Попытки побега в учреждениях содержания под стражей","Наличие оружия","Брошенные предметы в зонах риска","Резкие изменения поведенческих паттернов","Аномальное скопление людей в критических точках","Рисковые ситуации в критически важных средах — аэропорты, границы, тюрьмы","Темпоральный Движок: выполняет подсказку и система продолжает работу без вмешательства человека"]},{title:"2.4 Координация Кооперативной Сети",type:"list",items:["Запускает поиски и слеÐ

45¶ÐºÐ¸, распространяющиеся по всей публичной и частной кооперативной сети","Получает автоматические уведомления от Perceptrum при совпадениях со списком наблюдения","Координирует интегрированные операции между публичным, дорожным (F.A.S.T.) и частным пространством (Perceptrum)","Централизует оповещения, доказательства и след отслеживания всей интегрированной сети"]},{title:"2.5 Коммерческая Модель",type:"params",params:[{param:"Лицензирование",value:"Институциональное — контракт с государственным органом или корпорацией"},{param:"Развёртывание",value:"On-premise на серверах клиента"},{param:"Поддержка",value:"Онбординг и настройка включены"},{param:"Пилот",value:"Развёртывается в течение 7 рабочих дней на существующей инфраструктуре"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"Мультимодальный интеллект для частной среды — от дома до крупной корпорации",sections:[{title:"2.6 Фокус и Операционный Охват",desc:"Платформа для частного, коммерческого, жилого и кондоминиумного секторов. Демократизирует доступ к передовому мониторинговому интеллекту.",type:"list",items:["Жилые дома и квартиры","Жилые и коммерческие кондоминиумы и здания","Малый и средний бизнес","Розничные сети и магазины","Банки и финансовые учреждения","Торговые центры и парковки","Частные школы и университеты","Частные больницы и клиники","Склады и логистические объекты","Фермы и сельские поместья"]},{title:"2.7 Эксклюзивная Инфраструктура",type:"params",params:[{param:"Работает на",value:"Личном компьютере пользователя (домашнем или корпоративном)"},{param:"Минимальный процессор",value:"Intel i5 или лучше"},{param:"GPU",value:"Не требуется"},{param:"Хранилище",value:"Дисковое пространство для временных изображений в анализе"},{param:"DVR/NVR",value:"Нативное считывание для поиска в предыдущих записях"},{param:"Активация",value:"Минуты — импорт камер через CSV и немедленный запуск"}]},{title:"2.8 Специфические Обнаружения",type:"list",items:["Нестандартные движения в необычное время или в необычных местах","Кражи, грабежи и нападения — типичное поведение хищения","Несанкционированное присутствие в ограниченных зонах","Периметральный риск и попытки вторжения","Просьбы о помощи — жесты и поведение в состоянии дистресса","Брошенные подозрительные предметы","Операционные аномалии в процессах (логистика, инвентарь, доставки)","Автоматизированная проверка процессов: транспортное средство, номерной знак, курьер, подсчёт объёмов","Настраиваемые события по типу среды — профиль для каждой установки","Обнаруживает нарушителей охранных ордеров (запреты на сближение и т.д.)"]},{title:"2.9 Добровольное Сотрудничество (эксклюзивно Perceptrum)",type:"list",items:["Флаг добровольного сотрудничества — владелец решает, активировать ли и какие камеры участвуют","При активации: камера участвует в поисках, выданных Perceptrum Corporate или F.A.S.T.-AI","Анализ выполняется локально — на собственном компьютере частного пользователя","Никакой непрерывной видеотрансляции в публичный центр","Никаких внешне открытых сетевых портов","В центр отправляется только результат (совпадение) — не изображения","Оповещение включает: изображение человека с наложением, дату/время, камеру, адрес, GPS, уровень доверия","Участие отзывается в любое время владельцем","Полное соответствие GDPR/LGPD — конфиденциальность по архитектурному проекту"]},{title:"2.10 Коммерческая Модель",type:"params",params:[{param:"Бесплатная версия",value:"Базовые функции мониторинга — без затрат, без кредитной карты"},{param:"Премиум-версия",value:"Полный доступ — доступная ежемесячная лицензия"},{param:"Публичное сотрудничество",value:"Бесплатно для частного пользователя — стоимость оплачивается государственным органом за запрос"},{param:"Стоимость для государства",value:"Копейки за поиск — оплачивается только при активации поиска"},{param:"Распространение",value:"Распространяемо частным пользователям по всей стране"}]}]},{id:"fast-ai",product:"F.A.S.T.-AI",color:"#00AAFF",icon:"🚦",tagline:"Территориальный интеллект, мобильность и динамическое считывание городского пространства",sections:[{title:"2.11 Фокус и Операционный Охват",desc:"Платформа для мобильности, движения, городского планирования и динамической территориальной интерпретации.",type:"list",items:["Муниципальные отделы транспорта и мобильности","Городские операционные центры (COUs)","Департаменты общественных работ и городского планирования","Органы контроля дорожного движения","Организаторы крупных публичных мероприятий","Концессионеры автодорог и парковок","Силы общественной безопасности — отслеживание транспортных средств и дорожные операции"]},{title:"2.12 Эксклюзивная Инфраструктура",type:"params",params:[{param:"Работает на",value:"Серверах компаний, ответственных за трафик и городское планирование"},{param:"GPU",value:"Не требуется (кроме анализа сложных нарушений и SBC предотвращения аварий на шоссе)"},{param:"Хранилище",value:"Малое — читает напрямую с NAS, DVR, NVR или существующего стриминга"},{param:"Совместимые источники",value:"Публичные дорожные камеры, светофоры, стационарные и мобильные радары — любой стандарт"},{param:"Масштаб",value:"Полная городская дорожная сеть — квартал

45ы, коридоры, города"}]},{title:"2.13 Специфические Обнаружения",type:"list",items:["Нарушения ПДД — автоматическое генерирование штрафов с доказательствами","Аварии и наезды на пешеходов — обнаружение и немедленное уведомление","Образование заторов — раннее обнаружение до коллапса","Блокировки и объезды дорог","Незаконное использование общественного пространства","Нетипичные события, влияющие на городскую мобильность","Операционные риски на дорогах и стратегических зонах","Паттерны потоков, критические зоны и рецидивы","Отслеживание подозрительных транспортных средств — номерной знак, модель, цвет, маршрут","Концентрация и плотность людей на дорогах и в общественных местах","Автоматическое преследование по запросу оператора"]},{title:"2.14 Территориальный Интеллект (эксклюзивно F.A.S.T.-AI)",type:"list",items:["Анализ паттернов транспортного и пешеходного потока по времени, дню и зоне","Выявление критических зон и рецидивов инцидентов","Поддержка решений по дорожному и городскому планированию с реальными данными","Панель управления территорией в реальном времени для секретарей и менеджеров","Поддержка управления крупными мероприятиями — плотность, поток, риски беспорядков","Непрерывное генерирование стратегической информации о территориальном поведении"]},{title:"2.15 Коммерческая Модель",type:"params",params:[{param:"Лицензирование",value:"Муниципальное / региональное — контракт с государственным органом мобильности или безопасности"},{param:"Развёртывание",value:"Серверы муниципалитета или концессионера — на существующей инфраструктуре"},{param:"Прямой ROI",value:"Доходы от автоматических штрафов превышают стоимость платформы"},{param:"Пилот",value:"Развёртывается в течение 7 рабочих дней на существующих публичных камерах"}]}]}],comparison:{title:"Сравнительная Сводка Трёх Платформ",rows:[{feature:"Основной фокус",drakon:"Государственный сектор и критически важный",perceptrum:"Частный и жилой сектор",fast:"Трафик и городское планирование"},{feature:"Работает на",drakon:"Серверах клиента (on-premise)",perceptrum:"Личном компьютере (i5+)",fast:"Муниципальных/концессионерских серверах"},{feature:"GPU требуется",drakon:"❌ Нет",perceptrum:"❌ Нет",fast:"❌ Нет (кроме SBC)"},{feature:"Замена камер",drakon:"❌ Не требуется",perceptrum:"❌ Не требуется",fast:"❌ Не требуется"},{feature:"Анализ в реальном времени (24/7)",drakon:"✅ Да",perceptrum:"✅ Да",fast:"✅ Да"},{feature:"Постобработка записей",drakon:"✅ Да (DVR/NVR/NAS)",perceptrum:"✅ Да (DVR/NVR/NAS)",fast:"✅ Да (DVR/NVR/NAS)"},{feature:"JOBs на естественном языке",drakon:"✅ Да",perceptrum:"✅ Да",fast:"✅ Да"},{feature:"Интеграция API/Webhook",drakon:"✅ Да",perceptrum:"✅ Да",fast:"✅ Да"},{feature:"Мультикамерное слежение",drakon:"✅ Да",perceptrum:"✅ Да",fast:"✅ Да"},{feature:"Частная кооперативная сеть",drakon:"✅ Координирует поиски",perceptrum:"✅ Участвует (добровольно)",fast:"✅ Координирует дорожные поиски"},{feature:"Бесплатная версия доступна",drakon:"❌ Нет",perceptrum:"✅ Да (базовая)",fast:"❌ Нет"},{feature:"PoC доступен",drakon:"✅ Да",perceptrum:"❌ Нет",fast:"✅ Да"},{feature:"Автоматические штрафы",drakon:"❌ Не в фокусе",perceptrum:"❌ Не в фокусе",fast:"✅ Да — автоматическая генерация"},{feature:"Территориальный интеллект",drakon:"Институциональный операционный",perceptrum:"Частный операционный",fast:"✅ Территориальный и городской"},{feature:"Соответствие GDPR/LGPD",drakon:"✅ Да",perceptrum:"✅ Да (по проекту)",fast:"✅ Да"},{feature:"Время активации пилота",drakon:"До 7 рабочих дней",perceptrum:"Минуты",fast:"До 7 рабочих дней"}]}},pl:{hero:{badge:"Specyfikacje Techniczne",title:"Specyfikacje Techniczne",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"Ustrukturyzowany dokument techniczny dla procesów oceny, zamówień i integracji. Wszystkie specyfikacje trzech platform AiQuimist — wspólne funkcjonalności i wyłączne wyróżniki.",part1:"CZĘŚĆ 1 — Core Specs",part1sub:"Funkcjonalności obecne na wszystkich trzech platformach",part2:"CZĘŚĆ 2 — Wyłączne Specs",part2sub:"Specyficzne dla każdego produktu funkcje i wyróżniki",part3:"Podsumowanie Porównawcze"},copy:"Kopiuj tabelę",copied:"Skopiowano!",yes:"✅ Tak",no:"❌ Nie",feature:"Cecha",capacity:"Możliwość",detail

45:"Szczegół",param:"Parametr",value:"Wartość",sections:[{id:"s1",title:"1.1 Silnik AI — Uniwersalna Multimodalna Interpretacja",desc:"Platforma AiQuimist, która jednocześnie analizuje wideo, audio, tekst i obraz, aby wyodrębnić rzeczywisty kontekst i zidentyfikować istotne sytuacje.",type:"capabilities",items:[{label:"🎥 Wideo",detail:"Analiza w czasie rzeczywistym kamer na żywo i nagrań. Rozpoznaje sceny, obiekty, zachowania, ruchy i wzorce."},{label:"🔊 Audio",detail:"Wykrywanie mowy, słów kluczowych, wzorców semantycznych, tonu głosu, pilności, konfliktów i konfigurowalnych dźwięków zainteresowania."},{label:"📄 Tekst i Obraz",detail:"Przesyłanie i analiza plików (wideo, obraz, audio, tekst). Ekstrakcja dowodów, metadanych i korelacja między źródłami."},{label:"Natywne przetwarzanie temporalne",detail:"Analizuje płynność ruchu, nie tylko izolowane klatki"},{label:"Masywne okno kontekstowe",detail:"Zachowuje pamięć długich okresów wideo/audio do korelacji zdarzeń"},{label:"Analiza w czasie rzeczywistym (na żywo)",detail

45:"Strumienie kamer i kanały audio 24×7"},{label:"Postprzetwarzanie",detail:"Te same kryteria wykrywania stosowane do archiwów i nagranych plików: NVR, DVR, NAS"},{label:"Przesyłanie plików cyfrowych",detail:"Wideo, obraz, audio i tekst do skorelowanej analizy multimodalnej"},{label:"Identyfikacja stanu emocjonalnego",detail:"Odczytywanie mowy ciała, tonu głosu i sygnałów behawioralnych"},{label:"Abstrakcja dostawców AI",detail:"Konfigurowalne punkty końcowe, dane uwierzytelniające i limity; zmiana dostawcy z minimalnym wpływem"}]},{id:"s2",title:"1.2 Pozyskiwanie Kamer i Źródeł",type:"mixed",items:[{label:"Uniwersalna kompatybilność",detail:"Każda kamera, niezależnie od marki, producenta, modelu czy generacji"},{label:"Analogowe i cyfrowe",detail:"Bez wymogu wymiany sprzętu"},{label:"Główny protokół",detail:"RTSP, ONVIF i równoważne metody HTTP/plikowe"},{label:"DVR / NVR / NAS",detail:"Odczyt urządzeń już zainstalowanych u klienta"},{label:"Masowy import",detail:"Excel lub CSV z metadanymi kamer (IP, producent, użytkownik, hasło, port itp.)"},{label:"Autonomiczna praca",detail:"W pełni lokalnie przez sieć wewnętrzną — bez ujawniania strumieni do internetu"},{label:"Bezpieczeństwo sieci",detail:"Brak otwartych portów dla zdalnego dostępu ani konfiguracji NAT/tuneli"},{label:"Skalowalność",detail:"1 do N kamer/kanałów audio równolegle"},{label:"Dostępność strumieni",detail:"Monitorowanie i automatyczne odtwarzanie po awariach"}]},{id:"s3",title:"1.3 Orkiestracja Zadań — JOB / STEP",desc:"Inteligentny system automatyzacji zastępujący ludzkich operatorów w rutynach nadzoru. Tworzony za pomocą podpowiedzi w języku naturalnym — bez kodu, bez programowania.",type:"capabilities",items:[{label:"JOB (zadanie)",detail:"Jednostka monitorowania, która odczytuje 1 lub N kamer/kanałów i działa na podstawie zdefiniowanych warunków"},{label:"STEP (krok)",detail:"Każdy JOB składa się z kilku połączonych kroków; wynik jednej kamery (wyjście) zasila kolejną (wejście)"},{label:"Wiele źródeł na krok",detail:"Każdy STEP może aktywować 1 lub więcej kamer i/lub 1 lub więcej kanałów audio"},{label:"Inteligentne łączenie",detail:"Zależność kognitywna między krokami; przepływ zmienia się w zależności od poprzedniego wyniku"},{label:"Natywne warunkowe decyzje",detail:"Rozgałęzienia, przerywanie, powtarzanie lub eskalacja na podstawie rzeczywistego wyniku"},{label:"Podpowiedź na kanał",detail:"Każda kamera lub kanał audio otrzymuje określoną podpowiedź w ramach tego samego JOB"},{label:"Planowanie",detail:"Wykonywanie w zaplanowanych dniach i godzinach, z określonym lub ciągłym czasem trwania"},{label:"Natychmiastowa aktywacja/dezaktywacja",detail:"Bez potrzeby rekonfiguracji"},{label:"Wersjonowanie zadań",detail:"Historia konfiguracji i podpowiedzi"},{label:"Tworzenie przez niespecjalistów",detail:"Operatorzy bez wiedzy technicznej tworzą pełne JOBs przez interfejs z inteligentnym agentem"}],params:[{param:"Tworzenie JOBs",value:"Język naturalny (tekst lub głos) — bez kodu"},{param:"Łączenie",value:"STEP N używa kognitywnego wyniku STEP N-1"},{param:"Źródła na STEP",value:"1 lub więcej kamer + 1 lub więcej kanałów audio"},{param:"Planowanie",value:"Data, godzina, czas trwania i powtarzanie konfigurowalne"}]},{id:"s4",title:"1.4 Możliwości Wykrywania i Klasyfikacji",type:"grouped",groups:[{label:"Wykrywanie oparte na wideo (computer vision / multimodalne)",items:["Identyfikacja istotnych sytuacji i działań zgodnie ze skonfigurowanymi podpowiedziami","Rozpoznawanie osób zainteresowania — lista obserwacyjna z automatycznym kojarzeniem zdarzeń","Liczenie osób z wyzwalaczami warunkowymi (więcej niż X / mniej niż X / dokładnie X)","Śledzenie 1 lub wielu osób/pojazdów w czasie","Śledzenie wielokamerowe z ponowną identyfikacją — śledzi przemieszczanie między kamerami A → N → B","Wykrywanie odchylenia trasy i naruszenia oczekiwanej trajektorii","Odczytywanie tablic rejestracyjnych, szyldów i widocznej treści tekstowej w kamerze","Identyfikacja konfigurowalnych gestów ręcznych i gestów języka migowego (gdy zdefiniowane w podpowiedzi)","Wykrywanie stanu emocjonalnego i przedkonfliktowej mowy ciała"]},{label:"Wykrywanie oparte na audio (mowa / dźwięki / multimodalne)",items:["Analiza audio w czasie rzeczywistym i nagranego z transkrypcją (STT) gdy dotyczy","Diaryzacja — separacja i identyfikacja mówców z podsumowaniem na mówcę i całą rozmowę","Wykrywanie wypowiedzianych słów kluczowych zgodnie z parametryzacją","Wykrywanie konfigurowalnych fraz i wzorców semantycznych","Wykrywanie wzorców mowy wskazujących na zdarzenia — pilność, konflikt, powtórzenie","Wyróżnianie istotnych fragmentów do audytu"]},{label:"System alarmów",items:["Alarm przy spełnionym warunku — np.: 'grupa X osób wykryta w punkcie A'","Alarm przy NIE spełnionym warunku — np.: 'osoba nie przeszła przez kamerę Y w czasie T'","Alarmy z logiką sekwencji przejść — konfigurowalny wielopunktowy przepływ pracy","Konfigurowalne wyzwalacze, okna czasowe i kryteria korelacji","Konfigurowalne poziomy ważn

45ości, odbiorcy i kanały powiadomień","Dowody dołączone do alarmów — klatki, klipy wideo, segmenty audio","Rejestrowanie cyklu życia alarmu — generowanie, routing, odbiór i zamknięcie"]}]},{id:"s5",title:"1.5 Kontekstualizacja i Generowanie Dowodów",type:"capabilities",items:[{label:"Automatyczny opis kontekstowy",detail:"Generowany w języku naturalnym dla każdego wykrytego zdarzenia"},{label:"Ustrukturyzowane metadane",detail:"Źródło, data/godzina, lokalizacja logiczna, typ zdarzenia, ważność"},{label:"Automatyczna korelacja",detail:"Ta sama osoba, ten sam obszar, ten sam interwał — między wieloma źródłami"},{label:"Ekstrakcja dowodów",detail:"Klatki, klipy wideo, segmenty audio, rozpoznany tekst"},{label:"Śledzenie wnioskowania",detail:"Logi i audyt wszystkich wykryć"},{label:"Raporty operacyjne",detail:"Pełna ścieżka audytu"}]},{id:"s6",title:"1.6 Operowanie w Języku Naturalnym",desc:"Każdy operator — bez wykształcenia technicznego — tworzy, konfiguruje i obsługuje pełne JOBs używając tekstu lub głosu. Bez programowania, skryptów ani zewnętrznych narzędzi.",type:"capabilities",items:[{label:"Zapytania w języku naturalnym",detail:"Pytania z kontekstualizowanymi odpowiedziami"},{label:"Polecenia tekstowe i głosowe",detail:"Tworzenie, edycja i aktywacja zadań"},{label:"Pełna konfiguracja przez podpowiedź",detail:"Monitorowanie, alarmy, wyzwalacze i odbiorcy"},{label:"Kontrole zarządzania",detail:"Potwierdzenie dla krytycznych działań, ograniczenia profilowe"},{label:"Ścieżka audytu",detail:"Rejestrowanie wszystkich poleceń i zmian"}]},{id:"s7",title:"1.7 Integracje Zewnętrzne — API i Webhook",type:"capabilities",items:[{label:"Automatyczne wyzwalanie webhooków",detail:"Wywołania zewnętrznych API na podstawie zdefiniowanych warunków"},{label:"Konfiguracja przez niespecjalistów",detail:"Przez podpowiedź w języku naturalnym"},{label:"Ustrukturyzowany ładunek",detail:"Metadane i dowody w JSON"},{label:"Uwierzytelnianie zewnętrznych wywołań",detail:"Tokeny, klucze, podpisy i listy uprawnień"},{label:"Audyt żądań",detail:"Pełny log wszystkich zewnętrznych wywołań"},{label:"Obsługa błędów",detail:"Ponowne próby, kolejki i logi"},{label:"Interoperacyjność",detail:"Pulpity, komunikatory, systemy rejestracji i zarządzania"}],params:[{param:"Protokół",value:"REST API + Webhooks"},{param:"Ładunek",value:"Ustrukturyzowany JSON z metadanymi, dowodami i kontekstem"},{param:"Uwierzytelnianie",value:"Tokeny, klucze, podpisy i listy uprawnień"},{param:"Audyt",value:"Pełny log wszystkich zewnętrznych wywołań"}]},{id:"s8",title:"1.8 Metryki Zużycia i Zarządzanie Kosztami",type:"capabilities",items:[{label:"Metryki per JOB/STEP",detail:"Szczegółowy zapis i udostępnianie"},{label:"Metryki per kamera/kanał audio",detail:"Zindywidualizowane zużycie na źródło"},{label:"Metryki per użytkownik/profil",detail:"Śledzenie użytkowania przez operatora"},{label:"Liczenie tokenów i żądań",detail:"Szacowania i rzeczywiste wartości z opóźnieniem"},{label:"Koszty według wymiaru",detail:"JOB, kamera i użytkownik"},{label:"Limity i centra kosztów",detail:"Wsparcie dla limitów i segregacji działów"}]},{id:"s9",title:"1.9 Wymagania Sprzętowe",type:"params",params:[{param:"GPU",value:"Nie wymagana — żadna z trzech platform"},{param:"GPU (F.A.S.T.-AI)",value:"Używana do niektórych złożonych naruszeń i rozwiązania SBC zapobiegania wypadkom na autostradach"},{param:"Własny sprzęt",value:"Nie wymagany — integruje się z istniejącą infrastrukturą"},{param:"Kamery",value:"Bez wymiany — kompatybilne z każdym zainstalowanym urządzeniem"},{param:"Obsługiwany OS",value:"Windows (natywna kompatybilność)"},{param:"Wdrożenie",value:"On-premises, chmura publiczna/prywatna (terytorium krajowe) lub hybrydowe"},{param:"Aktywacja",value:"Dni, nie miesiące — pilot wdrażalny w 7 dni robocze"}]},{id:"s10",title:"1.10 Bezpieczeństwo Informacji, Zarządzanie i Ochrona Danych",type:"capabilities",items:[{label:"Kontrola dostępu RBAC",detail

45:"Segregacja funkcji i zasada najmniejszych uprawnień"},{label:"Pełne ścieżki audytu",detail:"Logi operacyjne, polecenia, zmiany konfiguracji i podpowiedzi"},{label:"Ochrona danych",detail:"W tranzycie i w spoczynku"},{label:"Polityki przechowywania i usuwania",detail:"Pseudonimizacja/anonimizacja gdy dotyczy"},{label:"Zarządzanie profilami dostępu",detail:"Ograniczenia operacyjne według poziomu"},{label:"Zgodność RODO/LGPD",detail:"Minimalizacja, cel, konieczność i odpowiedzialność"},{label:"Przechowywanie danych uwierzytelniających",detail:"Windows Credential Manager/DPAPI lub równoważny — przechowywanie w postaci jawnej zabronione"}]},{id:"s11",title:"1.11 Dostępność i Ciągłość Operacyjna",type:"capabilities",items:[{label:"Działanie 24×7",detail:"Ciągłe monitorowanie bez przerw"},{label:"Automatyczne odtwarzanie",detail:"Wznawianie strumienia po awariach bez interwencji"},{label:"Odporność na utratę połączenia",detail:"Ponowne przetwarzanie nagranej zawartości"},{label:"Kolejki i ponowne przetwarzanie",detail:"Gwarancja pokrycia bez luk"},{label:"Wysoka dostępność",detail:"Redundancja, replikacja i równoważenie obciążenia gdy skonfigurowane"}]},{id:"s12",title:"1.12 Integracja z Prywatną Siecią Kooperacyjną",desc:"Wyłączna możliwość ekosystemu AiQuimist: prywatne kamery dobrowolnych użytkowników automatycznie uczestniczą w publicznych wyszukiwaniach — bez przesyłania wideo, bez otwierania portów sieciowych.",type:"capabilities",items:[{label:"Bezpłatna dystrybucja",detail:"Rozwiązanie Windows dystrybuowane do prywatnych użytkowników w całym kraju"},{label:"Mechanizm parowania",detail:"Kod aktywacyjny, powiązanie i odwołanie urządzenia"},{label:"Tylko autoryzowane punkty końcowe",detail:"Tylko autoryzowane punkty końcowe mogą konsumować lub publikować dane/zdarzenia"},{label:"Lokalne wykrywanie i powiadamianie",detail:"Analiza odbywa się na komputerze prywatnego użytkownika"},{label:"Powiadomienie o dopasowaniu",detail:"Automatyczne do centralnej platformy przy dopasowaniu z listą obserwacyjną"},{label:"Ustrukturyzowany alarm",detail:"Obraz osoby z nakładką, data/godzina, kamera, pełny adres, GPS, poziom ufności, identyfikator"},{label:"Algorytmy Re-ID",detail:"Ponowna identyfikacja i, gdy dotyczy i autoryzowano, rozpoznawanie twarzy"},{label:"Dobrowolne uczestnictwo",detail:"Użytkownik decyduje o aktywacji współpracy i które kamery uczestniczą"},{label:"Prywatność przez projektowanie",detail:"Brak otwartych portów, brak ciągłych transmisji strumieni"},{label:"Pełna zgodność RODO/LGPD",detail:"Lokalna analiza, udostępnianie tylko odpowiedniego wyniku"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"Inteligencja instytucjonalna dla operacji publicznych i środowisk o kluczowym znaczeniu",sections:[{title:"2.1 Fokus i Zakres Operacyjny",desc:"Platforma dla sektora publicznego, instytucjonalnego i wysokokrytycznych korporacji. Obsługuje duże sieci kamer.",type:"list",items:["Gminy, rządy regionalne i federalne","Siły policyjne, straże miejskie i służby bezpieczeństwa","Zintegrowane centra dowodzenia i kontroli (CIOPs)","Więzienia i jednostki penitencjarne","Lotniska, porty i terminale","Granice i krajowa infrastruktura krytyczna","Przedsiębiorstwa publiczne i duże prywatne korporacje o złożonych operacjach","Duże firmy prywatne: banki, logistyka i inne"]},{title:"2.2 Wyłączna Infrastruktura",type:"params",params:[{param:"Działa na",value:"Własnych serwerach klienta (on-premise)"},{param:"Bezpieczeństwo danych",value:"100% wewnętrzne — żadne informacje nie są ujawniane w internecie"},{param:"GPU",value:"Nie wymagana"},{param:"Serwery",value:"Konwencjonalne — dedykowane bazie danych i jednoczesnym odczytywaniu kamer"},{param:"Skala",value:"Duże sieci instytucjonalne — od dziesiątek do tysięcy kamer"}]},{title:"2.3 Specyficzne Wykrycia",type:"list",items:["Podejrzane ruchy w obwodach, punktach dostępu i środowiskach krytycznych","Zachowania niezgodne z obszarami wrażliwymi","Włamania i próby nieuprawnionego dostępu","Konflikty i sytuacje przemocy","Próby ucieczki w jednostkach penitencjarnych","Obecność broni","Opuszczone przedmioty w miejscach ryzyka","Nagłe zmiany wzorców behawioralnych","Nienormalne skupisko osób w krytycznych punktach","Sytuacje ryzyka w środowiskach o kluczowym znaczeniu — lotniska, granice, więzienia","Silnik Temporalny: wykonuje podpowiedź i system działa bez ludzkiej interwencji"]},{title:"2.4 Koordynacja Sieci Kooperacyjnej",type:"list",items:["Uruchami

45a wyszukiwania i śledzenia propagowane przez całą publiczną i prywatną sieć kooperacyjną","Odbiera automatyczne powiadomienia od Perceptrum przy dopasowaniach z listą obserwacyjną","Koordynuje zintegrowane operacje między przestrzenią publiczną, drogową (F.A.S.T.) i prywatną (Perceptrum)","Centralizuje alarmy, dowody i ślad śledzenia całej zintegrowanej sieci"]},{title:"2.5 Model Komercyjny",type:"params",params:[{param:"Licencjonowanie",value:"Instytucjonalne — umowa z organem publicznym lub korporacją"},{param:"Wdrożenie",value:"On-premise na serwerach klienta"},{param:"Wsparcie",value:"Onboarding i konfiguracja w cenie"},{param:"Pilot",value:"Wdrażalny w 7 dni robocze na istniejącej infrastrukturze"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"Multimodalna inteligencja dla środowiska prywatnego — od domu do dużej korporacji",sections:[{title:"2.6 Fokus i Zakres Operacyjny",desc:"Platforma dla sektora prywatnego, komercyjnego, mieszkaniowego i wspólnot mieszkaniowych. Demokratyzuje dostęp do zaawansowanej inteligencji monitoringu.",type:"list",items:["Domy i mieszkania","Wspólnoty i budynki mieszkalne i komercyjne","Małe i średnie przedsiębiorstwa","Sieci handlowe i sklepy","Banki i instytucje finansowe","Centra handlowe i parkingi","Prywatne szkoły i uczelnie","Prywatne szpitale i kliniki","Magazyny i obiekty logistyczne","Gospodarstwa i nieruchomości wiejskie"]},{title:"2.7 Wyłączna Infrastruktura",type:"params",params:[{param:"Działa na",value:"Komputerze osobistym użytkownika (domowym lub korporacyjnym)"},{param:"Minimalny procesor",value:"Intel i5 lub lepszy"},{param:"GPU",value:"Nie wymagana"},{param:"Przechowywanie",value:"Miejsce na dysku dla tymczasowych obrazów w analizie"},{param:"DVR/NVR",value:"Natywny odczyt do wyszukiwań w poprzednich nagraniach"},{param:"Aktywacja",value:"Minuty — import kamer przez CSV i natychmiastowy start"}]},{title:"2.8 Specyficzne Wykrycia",type:"list",items:["Ruchy poza wzorcem w nietypowych godzinach lub miejscach","Kradzieże, napady i rozboje — typowe zachowania subtrakcyjne","Nieuprawniona obecność w strefach ograniczonego dostępu","Ryzyko obwodowe i próby włamania","Prośby o pomoc — gesty i zachowania w sytuacji zagrożenia","Porzucone podejrzane przedmioty","Anomalie operacyjne w procesach (logistyka, inwentarz, dostawy)","Automatyczna weryfikacja procesów: pojazd, tablica rejestracyjna, kurier, liczenie woluminów","Konfigurowalne zdarzenia według typu środowiska — profil na instalację","Wykrywa naruszycieli nakazu ochrony (zakazy zbliżania itp.)"]},{title:"2.9 Dobrowolna Współpraca (wyłącznie Perceptrum)",type:"list",items:["Flaga dobrowolnej współpracy — właściciel decyduje o aktywacji i które kamery uczestniczą","Po aktywacji: kamera uczestniczy w wyszukiwaniach wystawionych przez Perceptrum Corporate lub F.A.S.T.-AI","Analiza wykonywana lokalnie — na własnym komputerze prywatnego użytkownika","Żaden ciągły strumień wideo nie jest przesyłany do centrum publicznego","Żadne porty sieciowe nie są zewnętrznie otwarte","Tylko wynik (dopasowanie) jest wysyłany do centrum — nie obrazy","Alarm obejmuje: obraz osoby z nakładką, data/godzina, kamera, adres, GPS, poziom ufności","Uczestnictwo odwoływalne w każdej chwili przez właściciela","Pełna zgodność RODO/LGPD — prywatność przez projekt architektoniczny"]},{title:"2.10 Model Komercyjny",type:"params",params:[{param:"Wersja bezpłatna",value:"Podstawowe funkcje monitorowania — bez kosztów, bez karty kredytowej"},{param:"Wersja premium",value:"Pełny dostęp — przystępna miesięczna licencja"},{param:"Współpraca publiczna",value:"Bezpłatna dla prywatnego użytkownika — koszt płacony przez organ publiczny za zapytanie"},{param:"Koszt dla państwa",value:"Grosze za wyszukanie — płatne tylko gdy wyszukiwanie jest uruchamiane"},{param:"Dystrybucja",value:"Dystrybuowalne do prywatnych użytkowników w całym kraju"}]}]},{id:"fast-ai",product:"F.A.S.T.-AI",color:"#00AAFF",icon:"🚦",tagline:"Inteligencja terytorialna, mobilność i dynamiczny odczyt przestrzeni miejskiej",sections:[{title:"2.11 Fokus i Zakres Operacyjny",desc:"Platforma dla mobilności, ruchu drogowego, urbanistyki i dynamicznej interpretacji terytorialnej.",type:"list",items:["Miejskie wydziały transportu i mobilności","Miejskie centra operacyjne (COUs)","Wydziały robót publicznych i planowania miejskiego","Organy kontroli ruchu drogowego","Organizatorzy dużych imprez publicznych","Koncesjonariusze autostrad i parkingów","Siły bezpieczeństwa publicznego — śledzenie pojazdów i operacje drogowe"]},{title:"2.12 Wyłączna Infrastruktura",type:"params",params:[{param:"Działa na",value:"Serwerach firm odpowiedzialnych za ruch i urbanistykę"},{param:"GPU",value:"Nie wymagana (z wyjątkiem złożonej analizy naruszeń i rozwiązania SBC zapobiegania wypadkom na autostradach)"},{param:"Przechowywanie",value:"Niskie — odczytuje bezpośrednio z NAS, DVR, NVR lub istniejącego 

45streamingu"},{param:"Zgodne źródła",value:"Publiczne kamery drogowe, sygnalizacja świetlna, stałe i mobilne radary — każdy standard"},{param:"Skala",value:"Pełna sieć ulic miejskich — dzielnice, korytarze, miasta"}]},{title:"2.13 Specyficzne Wykrycia",type:"list",items:["Naruszenia przepisów ruchu — automatyczne generowanie mandatów z dowodami","Wypadki i potrącenia pieszych — wykrywanie i natychmiastowe powiadamianie","Tworzenie korków — wczesne wykrywanie przed kolapsem","Blokady dróg i objazdy","Nieregularne zajmowanie przestrzeni publicznej","Atypiczne zdarzenia wpływające na miejską mobilność","Ryzyko operacyjne na drogach i obszarach strategicznych","Wzorce przepływu, strefy krytyczne i nawroty","Śledzenie podejrzanych pojazdów — tablica rejestracyjna, model, kolor, trasa","Koncentracja i zagęszczenie osób na drogach i w przestrzeniach publicznych","Automatyczne pościgi na żądanie operatora"]},{title:"2.14 Inteligencja Terytorialna (wyłącznie F.A.S.T.-AI)",type:"list",items:["Analiza wzorców przepływu pojazdów i pieszych według godziny, dnia i strefy","Identyfikacja stref krytycznych i nawrotów incydentów","Wsparcie decyzji dotyczących planowania dróg i urbanistyki z rzeczywistymi danymi","Pulpit zarządzania terytorialnego w czasie rzeczywistym dla sekretarzy i menedżerów","Wsparcie zarządzania dużymi imprezami — gęstość, przepływ, ryzyko zamieszek","Ciągłe generowanie informacji strategicznych o zachowaniu terytorialnym"]},{title:"2.15 Model Komercyjny",type:"params",params:[{param:"Licencjonowanie",value:"Miejskie / regionalne — umowa z publicznym organem mobilności lub bezpieczeństwa"},{param:"Wdrożenie",value:"Serwery gminy lub koncesjonariusza — na istniejącej infrastrukturze"},{param:"Bezpośredni ROI",value:"Przychody z automatycznych mandatów przekraczają koszty platformy"},{param:"Pilot",value:"Wdrażalny w 7 dni robocze na istniejących kamerach publicznych"}]}]}],comparison:{title:"Podsumowanie Porównawcze Trzech Platform",rows:[{feature:"Główny fokus",drakon:"Sektor publiczny i o kluczowym znaczeniu",perceptrum:"Sektor prywatny i mieszkaniowy",fast:"Ruch i urbanistyka"},{feature:"Działa na",drakon:"Serwerach klienta (on-premise)",perceptrum:"Komputerze osobistym (i5+)",fast:"Serwerach miejskich/koncesjonariusza"},{feature:"GPU wymagana",drakon:"❌ Nie",perceptrum:"❌ Nie",fast:"❌ Nie (z wyjątkiem SBC)"},{feature:"Wymiana kamer",drakon:"❌ Nie wymagana",perceptrum:"❌ Nie wymagana",fast:"❌ Nie wymagana"},{feature:"Analiza na żywo (24/7)",drakon:"✅ Tak",perceptrum:"✅ Tak",fast:"✅ Tak"},{feature:"Postprzetwarzanie nagrań",drakon:"✅ Tak (DVR/NVR/NAS)",perceptrum:"✅ Tak (DVR/NVR/NAS)",fast:"✅ Tak (DVR/NVR/NAS)"},{feature:"JOBs w języku naturalnym",drakon:"✅ Tak",perceptrum:"✅ Tak",fast:"✅ Tak"},{feature:"Integracja API/Webhook",drakon:"✅ Tak",perceptrum:"✅ Tak",fast:"✅ Tak"},{feature:"Śledzenie wielokamerowe",drakon:"✅ Tak",perceptrum:"✅ Tak",fast:"✅ Tak"},{feature:"Prywatna sieć kooperacyjna",drakon:"✅ Koordynuje wyszukiwania",perceptrum:"✅ Uczestniczy (dobrowolnie)",fast:"✅ Koordynuje wyszukiwania drogowe"},{feature:"Bezpłatna wersja dostępna",drakon:"❌ Nie",perceptrum:"✅ Tak (podstawowa)",fast:"❌ Nie"},{feature:"PoC dostępny",drakon:"✅ Tak",perceptrum:"❌ Nie",fast:"✅ Tak"},{feature:"Automatyczne mandaty",drakon:"❌ Nie w fokusie",perceptrum:"❌ Nie w fokusie",fast:"✅ Tak — automatyczne generowanie"},{feature:"Inteligencja terytorialna",drakon:"Instytucjonalna operacyjna",perceptrum:"Prywatna operacyjna",fast:"✅ Terytorialna i miejska"},{feature:"Zgodność RODO/LGPD",drakon:"✅ Tak",perceptrum:"✅ Tak (przez projekt)",fast:"✅ Tak"},{feature:"Czas aktywacji pilota",drakon:"Do 7 dni roboczych",perceptrum:"Minuty",fast:"Do 7 dni roboczych"}]}},uk:{hero:{badge:"Технічні Специфікації",title:"Технічні Specs",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"Структурований технічний документ для процесів оцінки, закупівлі та інтеграції. Всі специфікації трьох платформ AiQuimist — спільні можливості та ексклюзивні відмінності.",part1:"ЧАСТИНА 1 — Core Specs",part1sub:"Функції, наявні на всіх трьох платформах",part2:"ЧАСТИНА 2 — Ексклюзивні Specs",part2sub:"Специфічні для кожного продукту функції та відмінності",part3:"Порівняльне Резюме"},copy:"Копіювати таблицю",copied:"Скопійовано!",yes:"✅ Так",no:"❌ Ні",feature:"Характеристика",capacity:"Можливість",detail

45:"Деталі",param:"Параметр",value:"Значення",sections:[{id:"s1",title:"1.1 Рушій ШІ — Універсальна Мультимодальна Інтерпретація",desc:"Платформа AiQuimist, яка одночасно аналізує відео, аудіо, текст та зображення для вилучення реального контексту та виявлення значущих ситуацій.",type:"capabilities",items:[{label:"🎥 Відео",detail:"Аналіз у реальному часі з живих камер та записів. Розпізнає сцени, об'єкти, поведінку, рухи та патерни."},{label:"🔊 Аудіо",detail:"Виявлення мовлення, ключових слів, семантичних патернів, тону голосу, терміновості, конфліктів та налаштовуваних цікавих звуків."},{label:"📄 Текст та Зображення",detail:"Завантаження та аналіз файлів (відео, зображення, аудіо, текст). Вилучення доказів, метаданих та крос-кореляція джерел."},{label:"Нативна темпоральна обробка",detail:"Аналізує плавність руху, а не лише окремі кадри"},{label:"Масивне контекстне вікно",detail:"Зберігає пам'ять тривалих відео/аудіо-периодів для кореляції подій"},{label:"Аналіз у реальному часі (наживо)",detail:"Потоки з камер та аудіоканали 24×7"},{label:"Постобробка",detail:"Ті самі критерії виявлення застосовуються до архівів та записаних файлів: NVR, DVR, NAS"},{label:"Завантаження цифрових файлів",detail:"Відео, зображення, аудіо та текст для корельованого мультимодального аналізу"},{label:"Визначення емоційного стану",detail:"Читання мови тіла, тону голосу та поведінкових сигналів"},{label:"Абстракція постачальників ШІ",detail:"Налаштовувані кінцеві точки, облікові дані та ліміти; зміна постачальника з мінімальним впливом"}]},{id:"s2",title:"1.2 Приймання Камер та Джерел",type:"mixed",items:[{label:"Універсальна сумісність",detail:"Будь-яка камера, незалежно від бренду, виробника, моделі чи покоління"},{label:"Аналогове та цифрове",detail:"Заміна обладнання не потрібна"}

45,{label:"Основний протокол",detail:"RTSP, ONVIF та еквівалентні HTTP/файлові методи"},{label:"DVR / NVR / NAS",detail:"Зчитування вже встановленого у клієнта обладнання"},{label:"Масовий імпорт",detail:"Excel або CSV з метаданими камер (IP, виробник, користувач, пароль, порт тощо)"},{label:"Автономна робота",detail:"Повністю локально через внутрішню мережу — без передачі потоків в інтернет"},{label:"Мережева безпека",detail:"Жодних відкритих портів для віддаленого доступу або конфігурації NAT/тунелів"},{label:"Масштабованість",detail:"Від 1 до N камер/аудіоканалів паралельно"},{label:"Доступність потоків",detail:"Моніторинг та автоматичне відновлення після збоїв"}]},{id:"s3",title:"1.3 Оркестрація Завдань — JOB / STEP",desc:"Інтелектуальна система автоматизації, що замінює людей-операторів у рутинах спостереження. Створюється за допомогою підказок природною мовою — без коду, без програмування.",type:"capabilities",items:[{label:"JOB (завдання)",detail:"Одиниця моніторингу, що зчитує 1 або N камер/каналів та діє за визначеними умовами"},{label:"STEP (крок)",detail:"Кожен JOB складається з кількох з'єднаних кроків; результат однієї камери (вихід) живить наступну (вхід)"},{label:"Кілька джерел на крок",detail:"Кожен STEP може активувати 1 або більше камер та/або 1 або більше аудіоканалів"},{label:"Інтелектуальне з'єднання",detail:"Когнітивна залежність між кроками; потік змінюється залежно від попереднього результату"},{label:"Нативні умовні рішення",detail:"Розгалуження, переривання, повторення або ескалація на основі реального результату"},{label:"Підказка на канал",detail:"Кожна камера або аудіоканал отримує специфічну підказку в рамках того ж JOB"},{label:"Планування",detail:"Виконання у заплановані дні та час, з визначеною або безперервною тривалістю"},{label:"Миттєва активація/деактивація",detail:"Перенастройка не потрібна"},{label:"Версіонування завдань",detail:"Історія конфігурацій та підказок"},{label:"Створення нетехнічними користувачами",detail:"Оператори без технічних знань створюють повні JOBs через інтерфейс з інтелектуальним агентом"}],params:[{param:"Створення JOBs",value:"Природна мова (текст або голос) — без коду"},{param:"З'єднання",value:"STEP N використовує когнітивний результат STEP N-1"},{param:"Джерела на STEP",value:"1 або більше камер + 1 або більше аудіоканалів"},{param:"Планування",value:"Дата, час, тривалість та повторення налаштовуються"}]},{id:"s4",title:"1.4 Можливості Виявлення та Класифікації",type:"grouped",groups:[{label:"Виявлення на основі відео (комп'ютерний зір / мультимодальне)",items:["Виявлення значущих ситуацій та дій за налаштованими підказками","Розпізнавання осіб, що становлять інтерес — список спостереження з автоматичним зв'язуванням подій","Підрахунок людей з умовними тригерами (більше X / менше X / рівно X)","Стеження за 1 або кількома особами/транспортними засобами в часі","Багатокамерне стеження з повторною ідентифікацією — відстежує переміщення між камерами A → N → B","Виявлення відхилення від маршруту та порушення очікуваної траєкторії","Зчитування номерних знаків, вивісок та текстового вмісту на камері","Розпізнавання налаштовуваних жестів рук та жестової мови (коли визначено в підказці)","Виявлення емоційного стану та мови тіла передконфлікту"]},{label:"Виявлення на основі аудіо (мовлення / звуки / мультимодальне)",items:["Аналіз живого та записаного аудіо з транскрипцією (STT) при необхідності","Діаризація — розділення та ідентифікація мовців з резюме по кожному мовцю та всій розмові","Виявлення вимовлених ключових слів за параметризацією","Виявлення налаштовуваних фраз та семантичних патернів","Виявлення мовленнєвих патернів, що вказ

45ують на події — терміновість, конфлікт, повторення","Виділення значущих фрагментів для аудиту"]},{label:"Система сповіщень",items:["Сповіщення при виконаній умові — напр.: 'група з X осіб виявлена в точці A'","Сповіщення при НЕ виконаній умові — напр.: 'особа не пройшла камеру Y протягом часу T'","Сповіщення з логікою послідовності проходів — налаштовуваний багатоточковий робочий процес","Налаштовувані тригери, часові вікна та критерії кореляції","Налаштовувані рівні серйозності, отримувачі та канали сповіщень","Докази, прикріплені до сповіщень — кадри, відеокліпи, аудіосегменти","Запис життєвого циклу сповіщення — генерація, маршрутизація, отримання та закриття"]}]},{id:"s5",title:"1.5 Контекстуалізація та Генерація Доказів",type:"capabilities",items:[{label:"Автоматичний контекстний опис",detail:"Генерується природною мовою для кожної виявленої події"},{label:"Структуровані метадані",detail:"Джерело, дата/час, логічне місцезнаходження, тип події, серйозність"},{label:"Автоматична кореляція",detail:"Та сама особа, та сама зона, той самий інтервал — по кількох джерелах"},{label:"Вилучення доказів",detail:"Кадри, відеокліпи, аудіосегменти, розпізнаний текст"},{label:"Відстежуваність висновків",detail:"Журнали та аудит усіх виявлень"},{label:"Операційні звіти",detail:"Повний аудиторський слід"}]},{id:"s6",title:"1.6 Робота Природною Мовою",desc:"Будь-який оператор — без технічної підготовки — створює, налаштовує та керує повними JOBs, використовуючи текст або голос. Жодного програмування, скриптів або зовнішніх інструментів.",type:"capabilities",items:[{label:"Запити природною мовою",detail:"Питання з контекстуалізованими відповідями"},{label:"Текстові та голосові команди",detail:"Створення, редагування та активація завдань"},{label:"Повне налаштування через підказку",detail:"Моніторинг, сповіщення, тригери та отримувачі"},{label:"Контролі управління",detail:"Підтвердження для критичних дій, обмеження за профілем"},{label:"Аудиторський слід",detail:"Запис усіх команд та змін"}]},{id:"s7",title:"1.7 Зовнішні Інтеграції — API та Webhook",type:"capabilities",items:[{label:"Автоматичний запуск вебхуків",detail:"Виклики зовнішніх API на основі визначених умов"},{label:"Налаштування нетехнічними користувачами",detail:"Через підказку природною мовою"},{label:"Структурована навантаження",detail:"Метадані та докаÐ

45·Ð¸ в JSON"},{label:"Автентифікація зовнішніх викликів",detail:"Токени, ключі, підписи та списки дозволів"},{label:"Аудит запитів",detail:"Повний журнал усіх зовнішніх викликів"},{label:"Обробка помилок",detail:"Повторні спроби, черги та журнали"},{label:"Інтероперабельність",detail:"Панелі моніторингу, обмін повідомленнями, системи реєстрації та управління"}],params:[{param:"Протокол",value:"REST API + Webhooks"},{param:"Навантаження",value:"Структурований JSON з метаданими, доказами та контекстом"},{param:"Автентифікація",value:"Токени, ключі, підписи та списки дозволів"},{param:"Аудит",value:"Повний журнал усіх зовнішніх викликів"}]},{id:"s8",title:"1.8 Метрики Споживання та Управління Витратами",type:"capabilities",items:[{label:"Метрики на JOB/STEP",detail:"Детальний запис та доступність"},{label:"Метрики на камеру/аудіоканал",detail:"Індивідуалізоване споживання на джерело"},{label:"Метрики на користувача/профіль",detail:"Відстеження використання за оператором"},{label:"Підрахунок токенів та запитів",detail:"Оцінки та реальні значення із затримкою"},{label:"Витрати за виміром",detail:"JOB, камера та користувач"},{label:"Квоти та центри витрат",detail:"Підтримка квот та розподілу за відділами"}]},{id:"s9",title:"1.9 Вимоги до Обладнання",type:"params",params:[{param:"GPU",value:"Не потрібна — жодна з трьох платформ"},{param:"GPU (F.A.S.T.-AI)",value:"Використовується для деяких складних порушень та рішення SBC запобігання аваріям на шосе"},{param:"Власне обладнання",value:"Не потрібне — інтегрується з існуючою інфраструктурою"},{param:"Камери",value:"Без заміни — сумісне з будь-яким встановленим обладнанням"},{param:"Підтримувана ОС",value:"Windows (нативна сумісність)"},{param:"Розгортання",value:"On-premises, публічна/приватна хмара (національна територія) або гібрид"},{param:"Активація",value:"Дні, не місяці — пілот розгортається протягом 7 робочих днів"}]},{id:"s10",title:"1.10 Інформаційна Безпека, Управління та Захист Даних",type:"capabilities",items:[{label:"Контроль доступу RBAC",detail:"Розділення функцій та принцип найменших привілеїв"},{label:"Повні аудиторські сліди",detail:"Операційні журнали, команди, зміни конфігурації та підказки"},{label:"Захист даних",detail:"У транзиті та у спокої"},{label:"Політики зберігання та видалення",detail:"Псевдонімізація/анонімізація при необхідності"},{label:"Управління профілями доступу",detail:"Операційні обмеження за рівнем"},{label:"Відповідність GDPR/LGPD",detail:"Мінімізація, мета, необхідність та відповідальність"},{label:"Зберігання облікових даних",detail:"Windows Credential Manager/DPAPI або еквівалент — зберігання відкритим текстом заборонено"}]},{id:"s11",title:"1.11 Доступність та Операційна Безперервність",type:"capabilities",items:[{label:"Робота 24×7",detail

45:"Безперервний моніторинг без перебоїв"},{label:"Автоматичне відновлення",detail:"Відновлення потоку після збоїв без втручання"},{label:"Стійкість до втрати зв'язку",detail:"Повторна обробка записаного вмісту"},{label:"Черги та повторна обробка",detail:"Гарантія покриття без прогалин"},{label:"Висока доступність",detail:"Резервування, реплікація та балансування при налаштуванні"}]},{id:"s12",title:"1.12 Інтеграція з Приватною Кооперативною Мережею",desc:"Ексклюзивна можливість екосистеми AiQuimist: приватні камери добровільних користувачів автоматично беруть участь у публічних пошуках — без передачі відео, без відкриття мережевих портів.",type:"capabilities",items:[{label:"Безкоштовний розподіл",detail:"Рішення для Windows, яке розповсюджується приватним користувачам по всій країні"},{label:"Механізм сполучення",detail:"Код активації, прив'язка та відкликання пристрою"},{label:"Лише авторизовані кінцеві точки",detail:"Лише авторизовані кінцеві точки можуть споживати або публікувати дані/події"},{label:"Локальне виявлення та сповіщення",detail:"Аналіз відбувається на комп'ютері приватного користувача"},{label:"Сповіщення про збіг",detail:"Автоматично на центральну платформу при збігу зі списком спостереження"},{label:"Структуроване сповіщення",detail:"Зображення особи з накладенням, дата/час, камера, повна адреса, GPS, рівень довіри, ідентифікатор"},{label:"Алгоритми Re-ID",detail:"Повторна ідентифікація та, при необхідності та авторизації, розпізнавання облич"},{label:"Добровільна участь",detail:"Користувач вирішує, активувати чи ні співпрацю та які камери беруть участь"},{label:"Конфіденційність за проектом",detail:"Жодних відкритих портів, жодних безперервно переданих потоків"},{label:"Повна відповідність GDPR/LGPD",detail:"Локальний аналіз, передача лише відповідного результату"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"Інституційний інтелект для публічних операцій та критично важливих середовищ",sections:[{title:"2.1 Фокус та Операційне Охоплення",desc:"Платформа для державного, інституційного та висококритичного корпоративного секторів. Працює з великими мережами камер.",type:"list",items:["Муніципалітети, регіональні та федеральні уряди","Поліцейські сили, муніципальна охороÐ

45½Ð° та служби безпеки","Інтегровані центри командування та управління (CIOPs)","Тюрми та виправні установи","Аеропорти, порти та термінали","Кордони та об'єкти критичної національної інфраструктури","Державні підприємства та великі приватні корпорації зі складними операціями","Великі приватні компанії: банки, логістика та інші"]},{title:"2.2 Ексклюзивна Інфраструктура",type:"params",params:[{param:"Працює на",value:"Власних серверах клієнта (on-premise)"},{param:"Безпека даних",value:"100% внутрішня — жодна інформація не виходить в інтернет"},{param:"GPU",value:"Не потрібна"},{param:"Сервери",value:"Звичайні — виділені для бази даних та одночасного зчитування камер"},{param:"Масштаб",value:"Великі інституційні мережі — від десятків до тисяч камер"}]},{title:"2.3 Специфічні Виявлення",type:"list",items:["Підозрілі рухи в периметрах, точках доступу та критичних середовищах","Поведінка, несумісна з чутливими зонами","Вторгнення та спроби несанкціонованого доступу","Конфлікти та насильницькі ситуації","Спроби втечі в установах тримання під вартою","Наявність зброї","Кинуті предмети в зонах ризику","Різкі зміни поведінкових патернів","Аномальне скупчення людей у критичних точках","Ризикові ситуації в критично важливих середовищах — аеропорти, кордони, тюрми","Темпоральний Рушій: виконує підказку і система продовжує роботу без втручання людини"]},{title:"2.4 Координація Кооперативної Мережі",type:"list",items:["Запускає пошуки та стеження, що поширюються по всій публічній та приватній кооперативній мережі","Отримує автоматичні сповіщення від Perceptrum при збігах зі списком спостереження","Координує інтегровані операції між публічним, дорожнім (F.A.S.T.) та приватним простором (Perceptrum)","Централізує сповіщення, докази та слід відстеження всієї інтегрованої мережі"]},{title:"2.5 Комерційна Модель",type:"params",params:[{param:"Ліцензування",value:"Інституційне — контракт з державним органом або корпорацією"},{param:"Розгортання",value:"On-premise на серверах клієнта"},{param:"Підтримка",value:"Онбординг та налаштування включені"},{param:"Пілот",value:"Розгортається протягом 7 робочих днів на існуючій інфраструктурі"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"Мультимодальний інтелект для приватного середовища — від дому до великої корпорації",sections:[{title:"2.6 Фокус та Операційне Охоплення",desc:"Платформа для приватного, комерційного, житлового та кондомінійного секторів. Демократизує доступ до передового моніторингового інтелекту.",type:"list",items:["Житлові будинки та квартири","Житлові та комерційні кондомініуми та будівлі","Малий та середній бізнес","РоздрÑ

45–бні мережі та магазини","Банки та фінансові установи","Торгові центри та парковки","Приватні школи та університети","Приватні лікарні та клініки","Склади та логістичні об'єкти","Ферми та сільські маєтки"]},{title:"2.7 Ексклюзивна Інфраструктура",type:"params",params:[{param:"Працює на",value:"Персональному комп'ютері користувача (домашньому або корпоративному)"},{param:"Мінімальний процесор",value:"Intel i5 або кращий"},{param:"GPU",value:"Не потрібна"},{param:"Сховище",value:"Дисковий простір для тимчасових зображень в аналізі"},{param:"DVR/NVR",value:"Нативне зчитування для пошуку в попередніх записах"},{param:"Активація",value:"Хвилини — імпорт камер через CSV та негайний запуск"}]},{title:"2.8 Специфічні Виявлення",type:"list",items:["Нестандартні рухи в незвичайний час або незвичайних місцях","Крадіжки, пограбування та напади — типова поведінка розкрадання","Несанкціонована присутність в обмежених зонах","Периметральний ризик та спроби вторгнення","Прохання про допомогу — жести та поведінка в стані стресу","Кинуті підозрілі предмети","Операційні аномалії в процесах (логістика, інвентар, доставки)","Автоматизована перевірка процесів: транспортний засіб, номерний знак, кур'єр, підрахунок обсягів","Налаштовувані події за типом середовища — профіль для кожної установки","Виявляє порушників охороÐ

45½Ð½Ð¸Ñ… ордерів (заборони на наближення тощо)"]},{title:"2.9 Добровільна Співпраця (ексклюзивно Perceptrum)",type:"list",items:["Прапор добровільної співпраці — власник вирішує, активувати чи ні та які камери беруть участь","При активації: камера бере участь у пошуках, виданих Perceptrum Corporate або F.A.S.T.-AI","Аналіз виконується локально — на власному комп'ютері приватного користувача","Жодної безперервної відеотрансляції в публічний центр","Жодних зовнішньо відкритих мережевих портів","До центру надсилається лише результат (збіг) — не зображення","Сповіщення включає: зображення особи з накладенням, дату/час, камеру, адресу, GPS, рівень довіри","Участь відкликається в будь-який час власником","Повна відповідність GDPR/LGPD — конфіденційність за архітектурним проектом"]},{title:"2.10 Комерційна Модель",type:"params",params:[{param:"Безкоштовна версія",value:"Базові функції моніторингу — без витрат, без кредитної картки"},{param:"Преміум-версія",value:"Повний доступ — доступна щомісячна ліцензія"},{param:"Публічна співпраця",value:"Безкоштовно для приватного користувача — вартість оплачується державним органом за запит"},{param:"Вартість для держави",value:"Копійки за пошук — оплачується лише при активації пошуку"},{param:"Розповсюдження",value:"Розповсюджуване приватним користувачам по всій країні"}]}]},{id:"fast-ai",product:"F.A.S.T.-AI",color:"#00AAFF",icon:"🚦",tagline:"Територіальний інтелект, мобільність та динамічне зчитування міського простору",sections:[{title:"2.11 Фокус та Операційне Охоплення",desc:"Платформа для мобільності, руху, містобудування та динамічної територіальної інтерпретації.",type:"list",items:["Муніципальні відділи транспорту та мобільності","Міські операційні центри (COUs)","Відділи громадських робіт та містобудування","Органи контролю дорожнього руху","Організатори великих публічних заходів","Концесіонери автодоріг та парковок","Сили громадської безпеки — відстеження транспортних засобів та дорожні операції"]},{title:"2.12 Ексклюзивна Інфраструктура",type:"params",params:[{param:"Працює на",value:"Серверах компаній, відповідальних за трафік та містобудування"},{param:"GPU",value:"Не потрібна (крім аналізу складних порушень та рішення SBC запобігання аваріям на шосе)"},{param:"Сховище",value:"Мале — зчитує безпосередньо з NAS, DVR, NVR або існуючого стримінгу"},{param:"Сумісні джерела",value:"Публічні дорожні камери, світлофори, стаціонарні та мобільні радари — будь-який стандарт"},{param:"Масштаб",value:"Повна міська дорожня мережа — квартали, коридори, міста"}]},{title:"2.13 Специфічні Виявлення",type:"list",items:["Порушення ПДР — автоматичне генерування штрафів з докаÐ

45·Ð°Ð¼Ð¸","Аварії та наїзди на пішоходів — виявлення та негайне сповіщення","Утворення заторів — раннє виявлення до колапсу","Блокування доріг та об'їзди","Незаконне використання громадського простору","Нетипові події, що впливають на міську мобільність","Операційні ризики на дорогах та стратегічних зонах","Патерни потоків, критичні зони та рецидиви","Відстеження підозрілих транспортних засобів — номерний знак, модель, колір, маршрут","Концентрація та щільність людей на дорогах та у громадських місцях","Автоматичне переслідування на запит оператора"]},{title:"2.14 Територіальний Інтелект (ексклюзивно F.A.S.T.-AI)",type:"list",items:["Аналіз патернів транспортного та пішохідного потоку за часом, днем та зоною","Виявлення критичних зон та рецидивів інцидентів","Підтримка рішень щодо дорожнього та містобудівного планування з реальними даними","Панель управління територією в реальному часі для секретарів та менеджерів","Підтримка управління великими заходами — щільність, потік, ризики безладу","Безперервне генерування стратегічної інформації про територіальну поведінку"]},{title:"2.15 Комерційна Модель",type:"params",params:[{param:"Ліцензування",value:"Муніципальне / регіональне — контракт з державним органом мобільності або безпеки"},{param:"Розгортання",value:"Сервери муніципалітету або концесіонера — на існуючій інфраструктурі"},{param:"Прямий ROI",value:"Доходи від автоматичних штрафів перевищують вартість платформи"},{param:"Пілот",value:"Розгортається протягом 7 робочих днів на існуючих публічних камерах"}]}]}],comparison:{title:"Порівняльне Резюме Трьох Платформ",rows:[{feature:"Основний фокус",drakon:"Державний сектор та критично важливий",perceptrum:"Приватний та житловий сектор",fast:"Трафік та містобудування"},{feature:"Працює на",drakon:"Серверах клієнта (on-premise)",perceptrum:"Персональному комп'ютері (i5+)",fast:"Муніципальних/концесіонерських серверах"},{feature:"GPU потрібна",drakon:"❌ Ні",perceptrum:"❌ Ні",fast:"❌ Ні (крім SBC)"},{feature:"Заміна камер",drakon:"❌ Не потрібна",perceptrum:"❌ Не потрібна",fast:"❌ Не потрібна"},{feature:"Аналіз наживо (24/7)",drakon:"✅ Так",perceptrum:"✅ Так",fast:"✅ Так"},{feature:"Постобробка записів",drakon:"✅ Так (DVR/NVR/NAS)",perceptrum:"✅ Так (DVR/NVR/NAS)",fast:"✅ Так (DVR/NVR/NAS)"},{feature:"JOBs природною мовою",drakon:"✅ Так",perceptrum:"✅ Так",fast:"✅ Так"},{feature:"Інтеграція API/Webhook",drakon:"✅ Так",perceptrum:"✅ Так",fast:"✅ Так"},{feature:"Багатокамерне стеження",drakon:"✅ Так",perceptrum:"✅ Так",fast:"✅ Так"},{feature:"Приватна кооперативна мережа",drakon:"✅ Координує пошуки",perceptrum:"✅ Бере участь (добровільно)",fast:"✅ Координує дорожні пошуки"},{feature:"Безкоштовна версія доступна",drakon:"❌ Ні",perceptrum:"✅ Так (базова)",fast:"❌ Ні"},{feature:"PoC доступний",drakon:"✅ Так",perceptrum:"❌ Ні",fast:"✅ Так"},{feature:"Автоматичні штрафи",drakon:"❌ Не в фокусі",perceptrum:"❌ Не в фокусі",fast:"✅ Так — автоматична генерація"},{feature:"Територіальний інтелект",drakon:"Інституційний операційний",perceptrum:"Приватний операційний",fast:"✅ Територіальний та міський"},{feature:"Відповідність GDPR/LGPD",drakon:"✅ Так",perceptrum:"✅ Так (за проектом)",fast:"✅ Так"},{feature:"Час активації пілоту",drakon:"До 7 робочих днів",perceptrum:"Хвилини",fast:"До 7 робочих днів"}]}},ar:{hero:{badge:"المواصفات الفنية",title:"المواصفات الفنية",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"وثيقة فنية منظمة لعمليات التقييم والمشتريات والتكامل. جميع مواصفات منصات AiQuimist الثلاث — الوظائف المشتركة والمميزات الحصرية.",part1:"الجزء 1 — المواصفات الأساسية",part1sub:"الوظائف المتوفرة في المنصات الثلاث",part2:"الجزء 2 — المواصفات الحصرية",part2sub:"ميزات ومميزات خاصة بكل منتج",part3:"ملخص مقارن"},copy:"نسخ الجدول",copied:"تم النسخ!",yes:"✅ نعم",no:"❌ لا",feature:"الميزة",capacity:"القدرة",detail:"التفاصيل",param:"المعامل",value:"القيمة",sections:[{id:"s1",title:"1.1 محرك الذكاء الاصطناعي — التفسير متعدد الوسائط الشامل",desc:"منصة AiQuimist التي تحلل في آنٍ واحد الفيديو والصوت والنص والصورة لاستخراج السياق الحقيقي وتحديد المواقف ذات الصلة.",type:"capabilities",items:[{label:"🎥 الفيديو",detail

45:"تحليل فوري للكاميرات المباشرة والتسجيلات. يتعرف على المشاهد والأجسام والسلوكيات والحركات والأنماط."},{label:"🔊 الصوت",detail:"اكتشاف الكلام والكلمات الرئيسية والأنماط الدلالية ونبرة الصوت والإلحاح والنزاعات والأصوات المثيرة للاهتمام القابلة للتكوين."},{label:"📄 النص والصورة",detail:"رفع وتحليل الملفات (فيديو، صورة، صوت، نص). استخراج الأدلة والبيانات الوصفية والترابط بين المصادر."},{label:"معالجة زمنية أصلية",detail:"يحلل سلاسة الحركة، وليس فقط الإطارات المنفردة"},{label:"نافذة سياق ضخمة",detail:"يحتفظ بذاكرة فترات فيديو/صوت طويلة لربط الأحداث"},{label:"تحليل في الوقت الفعلي (مباشر)",detail:"تدفقات الكاميرات والقنوات الصوتية 24×7"},{label:"المعالجة اللاحقة",detail:"نفس معايير الاكتشاف مطبقة على الأرشيف والملفات المسجلة: NVR وDVR وNAS"},{label:"رفع الملفات الرقمية",detail:"فيديو وصورة وصوت ونص للتحليل متعدد الوسائط المترابط"},{label:"تحديد الحالة العاطفية",detail:"قراءة لغة الجسد ونبرة الصوت والإشارات السلوكية"},{label:"تجريد موفري الذكاء الاصطناعي",detail:"نقاط نهاية وبيانات اعتماد وحدود قابلة للتكوين؛ تغيير الموفر بأقل تأثير"}]},{id:"s2",title:"1.2 استيعاب الكاميرات والمصادر",type:"mixed",items:[{label:"توافق شامل",detail:"أي كاميرا بغض النظر عن العلامة التجارية أو المصنّع أو الطراز أو الجيل"},{label:"تناظري ورقمي",detail:"لا يلزم استبدال الأجهزة"},{label:"البروتوكول الرئيسي",detail:"RTSP وONVIF وطرق HTTP/الملف المكافئة"},{label:"DVR / NVR / NAS",detail:"قراءة الأجهزة المثبتة لدى العميل مسبقاً"},{label:"استيراد مجمّع",detail:"Excel أو CSV مع بيانات وصفية للكاميرا (IP والمصنّع والمستخدم وكلمة المرور والمنفذ وما إلى ذلك)"},{label:"تشغيل مستقل",detail:"محلي تماماً عبر الشبكة الداخلية — لا تعرض للتدفقات على الإنترنت"},{label:"أمن الشبكة",detail:"لا منافذ مفتوحة للوصول عن بُعد ولا إعدادات NAT/نفق"},{label:"قابلية التوسع",detail:"من 1 إلى N من الكاميرات/القنوات الصوتية بالتوازي"},{label:"توافر التدفق",detail:"مراقبة واستعادة تلقائية بعد الأعطال"}]},{id:"s3",title:"1.3 تنسيق المهام — JOB / STEP",desc:"نظام أتمتة ذكي يحل محل المشغلين البشريين في روتين المراقبة. يُنشأ عبر المحفزات باللغة الطبيعية — بدون كود، بدون برمجة.",type:"capabilities",items:[{label:"JOB (مهمة)",detail:"وحدة مراقبة تقرأ 1 أو N كاميرا/قناة وتتصرف وفق الشروط المحددة"},{label:"STEP (خطوة)",detail:"كل JOB مكوّن من عدة خطوات متسلسلة؛ نتيجة كاميرا واحدة (مخرجات) تغذي التالية (مدخلات)"},{label:"مصادر متعددة لكل خطوة",detail:"كل STEP يمكنه تفعيل كاميرا واحدة أو أكثر و/أو قناة صوتية واحدة أو أكثر"},{label:"ربط ذكي",detail:"تبعية معرفية بين الخطوات؛ يتغير التدفق بناءً على النتيجة السابقة"},{label:"قرارات شرطية أصلية",detail:"تفرعات وإيقاف وتكرار أو تصعيد بناءً على النتيجة الفعلية"},{label:"محفز لكل قناة",detail:"كل كاميرا أو قناة صوتية تتلقى محفزاً محدداً ضمن نفس JOB"},{label:"الجدولة",detail:"التنفيذ في الأيام والأوقات المجدولة، بمدة محددة أو مستمرة"},{label:"تفعيل/تعطيل فوري",detail:"لا يلزم إعادة التكوين"}

45,{label:"إدارة إصدارات المهام",detail:"سجل الإعدادات والمحفزات"},{label:"إنشاء من قِبَل غير التقنيين",detail:"يُنشئ المشغلون دون معرفة تقنية مهام JOB كاملة عبر الواجهة مع وكيل ذكي"}],params:[{param:"إنشاء JOBs",value:"لغة طبيعية (نص أو صوت) — بدون كود"},{param:"الربط",value:"يستخدم STEP N النتيجة المعرفية لـ STEP N-1"},{param:"المصادر لكل STEP",value:"كاميرا واحدة أو أكثر + قناة صوتية واحدة أو أكثر"},{param:"الجدولة",value:"التاريخ والوقت والمدة والتكرار قابلة للتكوين"}]},{id:"s4",title:"1.4 قدرات الاكتشاف والتصنيف",type:"grouped",groups:[{label:"اكتشاف قائم على الفيديو (رؤية حاسوبية / متعدد الوسائط)",items:["تحديد المواقف والأفعال ذات الصلة وفق المحفزات المكوّنة","التعرف على الأشخاص المعنيين — قائمة مراقبة مع ربط تلقائي للأحداث","عدّ الأشخاص مع مشغّلات شرطية (أكثر من X / أقل من X / بالضبط X)","تتبع شخص واحد أو أكثر/مركبات عبر الزمن","تتبع متعدد الكاميرات مع إعادة التعريف — يتتبع التنقل بين الكاميرات A → N → B","اكتشاف انحراف المسار وانتهاك المسار المتوقع","قراءة لوحات الأرقام واللافتات والمحتوى النصي المرئي في الكاميرا","تحديد إيماءات اليد القابلة للتكوين وإيماءات لغة الإشارة (عند تحديدها في المحفز)","اكتشاف الحالة العاطفية ولغة الجسد قبل النزاع"]},{label:"اكتشاف قائم على الصوت (كلام / أصوات / متعدد الوسائط)",items:["تحليل الصوت المباشر والمسجل مع النسخ (STT) عند الاقتضاء","التمييز — فصل المتحدثين وتحديدهم مع ملخص لكل متحدث وملخص المحادثة بأكملها","اكتشاف الكلمات الرئيسية المنطوقة وفق المعاملة","اكتشاف العبارات والأنماط الدلالية القابلة للتكوين","اكتشاف أنماط الكلام الدالة على الأحداث — الإلحاح والنزاع والتكرار","إبراز المقتطفات ذات الصلة للمراجعة"]},{label:"نظام التنبيهات",items:["تنبيه عند تحقق الشرط — مثل: 'تم اكتشاف مجموعة من X أشخاص في النقطة A'","تنبيه عند عدم تحقق الشرط — مثل: 'لم يمر الشخص عبر الكاميرا Y خلال الفترة T'","تنبيهات بمنطق تسلسل المرور — سير عمل متعدد النقاط قابل للتكوين","مشغّلات ونوافذ زمنية ومعايير ربط قابلة للمعاملة","مستويات خطورة ومستلمون وقنوات إشعار قابلة للتكوين","أدلة مرفقة بالتنبيهات — إطارات ومقاطع فيديو وأجزاء صوتية","تسجيل دورة حياة التنبيه — التوليد والتوجيه والاستلام والإغلاق"]}]},{id:"s5",title:"1.5 السياق وتوليد الأدلة",type:"capabilities",items:[{label:"وصف سياقي تلقائي",detail:"يُولَّد باللغة الطبيعية لكل حدث تم اكتشافه"},{label:"بيانات وصفية منظمة",detail:"المصدر والتاريخ/الوقت والموقع المنطقي ونوع الحدث والخطورة"},{label:"ربط تلقائي",detail:"نفس الشخص ونفس المنطقة ونفس الفترة — عبر مصادر متعددة"},{label:"استخراج الأدلة",detail:"إطارات ومقاطع فيديو وأجزاء صوتية ونص معترف به"}

45,{label:"قابلية تتبع الاستنتاجات",detail:"سجلات وتدقيق لجميع الاكتشافات"},{label:"تقارير تشغيلية",detail:"مسار تدقيق كامل"}]},{id:"s6",title:"1.6 التشغيل باللغة الطبيعية",desc:"أي مشغّل — دون تدريب تقني — يُنشئ ويكوّن ويدير مهام JOB كاملة باستخدام النص أو الصوت. لا برمجة ولا نصوص برمجية ولا أدوات خارجية.",type:"capabilities",items:[{label:"استعلامات باللغة الطبيعية",detail:"أسئلة مع إجابات موضوعة في السياق"},{label:"أوامر نصية وصوتية",detail:"إنشاء وتحرير وتفعيل المهام"},{label:"تكوين كامل عبر المحفز",detail:"المراقبة والتنبيهات والمشغّلات والمستلمون"},{label:"ضوابط الحوكمة",detail:"تأكيد للإجراءات الحرجة وقيود حسب الملف الشخصي"},{label:"مسار التدقيق",detail:"تسجيل جميع الأوامر والتغييرات"}]},{id:"s7",title:"1.7 التكاملات الخارجية — API وWebhook",type:"capabilities",items:[{label:"تشغيل تلقائي للـ webhook",detail:"استدعاءات APIs خارجية بناءً على شروط محددة"},{label:"التكوين من قِبَل غير التقنيين",detail:"عبر المحفز باللغة الطبيعية"},{label:"حمولة منظمة",detail:"بيانات وصفية وأدلة بصيغة JSON"},{label:"مصادقة الاستدعاءات الخارجية",detail:"رموز ومفاتيح وتوقيعات وقوائم أذونات"},{label:"تدقيق الطلبات",detail:"سجل كامل لجميع الاستدعاءات الخارجية"},{label:"معالجة الأخطاء",detail:"إعادة المحاولات والطوابير والسجلات"},{label:"التوافقية",detail:"لوحات المعلومات والمراسلة وأنظمة التسجيل والإدارة"}],params:[{param:"البروتوكول",value:"REST API + Webhooks"},{param:"الحمولة",value:"JSON منظم مع بيانات وصفية وأدلة وسياق"},{param:"المصادقة",value:"رموز ومفاتيح وتوقيعات وقوائم أذونات"},{param:"التدقيق",value:"سجل كامل لجميع الاستدعاءات الخارجية"}]},{id:"s8",title:"1.8 مقاييس الاستهلاك وإدارة التكاليف",type:"capabilities",items:[{label:"مقاييس لكل JOB/STEP",detail:"تسجيل وإتاحة مفصّلة"},{label:"مقاييس لكل كاميرا/قناة صوتية",detail:"استهلاك فردي لكل مصدر"},{label:"مقاييس لكل مستخدم/ملف شخصي",detail:"تتبع الاستخدام لكل مشغّل"},{label:"عدّ الرموز والطلبات",detail:"تقديرات وقيم فعلية مع زمن الاستجابة"},{label:"التكاليف حسب البُعد",detail:"JOB والكاميرا والمستخدم"},{label:"الحصص ومراكز التكلفة",detail:"دعم الحصص والفصل حسب القسم"}]},{id:"s9",title:"1.9 متطلبات الأجهزة",type:"params",params:[{param:"GPU",value:"غير مطلوبة — لا في أيٍّ من المنصات الثلاث"},{param:"GPU (F.A.S.T.-AI)",value:"تُستخدم لبعض المخالفات المعقدة وحل SBC للوقاية من الحوادث في الطرق السريعة"},{param:"أجهزة خاصة",value:"غير مطلوبة — تتكامل مع البنية التحتية الحالية"},{param:"الكاميرات",value:"دون استبدال — متوافقة مع أي جهاز مثبّت"},{param:"نظام التشغيل المدعوم",value:"Windows (توافق أصلي)"},{param:"النشر",value:"On-premises أو سحابة عامة/خاصة (الإقليم الوطني) أو هجينة"},{param:"التفعيل",value:"أيام لا أشهر — يمكن نشر النموذج التجريبي في 7 أيام عمل"}]},{id:"s10",title:"1.10 أمن المعلومات والحوكمة وحماية البيانات",type:"capabilities",items:[{label:"التحكم في الوصول RBAC",detail

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45:"يمكن فقط لنقاط النهاية المصرح بها استهلاك البيانات/الأحداث أو نشرها"},{label:"الاكتشاف والإشعار المحلي",detail:"يجري التحليل على حاسوب المستخدم الخاص"},{label:"إشعار التطابق",detail:"تلقائي إلى المنصة المركزية عند التطابق مع قائمة المراقبة"},{label:"تنبيه منظم",detail:"صورة الشخص مع طبقة تحسين، التاريخ/الوقت، الكاميرا، العنوان الكامل، GPS، مستوى الثقة، المعرّف"},{label:"خوارزميات Re-ID",detail:"إعادة التعريف وعند الاقتضاء والتصريح، التعرف على الوجه"},{label:"المشاركة الطوعية",detail:"المستخدم يقرر تفعيل التعاون وأي كاميرات تشارك"},{label:"الخصوصية بالتصميم",detail:"لا منافذ مفتوحة، لا تدفقات ترسل باستمرار"},{label:"امتثال كامل لـ GDPR/LGPD",detail:"تحليل محلي، مشاركة النتيجة ذات الصلة فقط"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"ذكاء مؤسسي للعمليات العامة والبيئات الحيوية",sections:[{title:"2.1 التركيز والنطاق التشغيلي",desc:"منصة للقطاع العام والمؤسسي والشركات الكبرى ذات الأهمية القصوى. تعمل على شبكات كاميرات واسعة النطاق.",type:"list",items:["البلديات والحكومات الإقليمية والفيدرالية","قوات الشرطة والحرس البلدي وإدارات الأمن","مراكز القيادة والسيطرة المتكاملة (CIOPs)","السجون ومؤسسات الاحتجاز","المطارات والموانئ والمحطات","الحدود والبنية التحتية الحيوية الوطنية","المؤسسات العامة والشركات الخاصة الكبرى ذات العمليات المعقدة","الشركات الخاصة الكبرى: البنوك واللوجستيك وغيرها"]},{title:"2.2 البنية التحتية الحصرية",type:"params",params:[{param:"يعمل على",value:"خوادم العميل الخاصة (on-premise)"},{param:"أمان البيانات",value:"100% داخلي — لا معلومات مكشوفة على الإنترنت"},{param:"GPU",value:"غير مطلوبة"},{param:"الخوادم",value:"تقليدية — مخصصة لقاعدة البيانات وقراءة الكاميرات المتزامنة"},{param:"النطاق",value:"شبكات مؤسسية كبيرة — من عشرات إلى آلاف الكاميرات"}]},{title:"2.3 الاكتشافات المحددة",type:"list",items:["الحركات المشبوهة في المحيطات ونقاط الوصول والبيئات الحيوية","السلوكيات المتعارضة مع المناطق الحساسة","الاقتحامات ومحاولات الوصول غير المصرح به","النزاعات والمواقف العنيفة","محاولات الهروب في مرافق الاحتجاز","وجود أسلحة","الأشياء المتروكة في مواقع الخطر","التغييرات المفاجئة في الأنماط السلوكية","تجمعات غير طبيعية للأشخاص في النقاط الحيوية","مواقف المخاطرة في البيئات الحيوية — المطارات والحدود والسجون","المحرك الزمني: ينفّذ المحفز ويستمر النظام دون تدخل بشري"]},{title:"2.4 تنسيق شبكة التعاون",type:"list",items:["يطلق عمليات بحث وتتبع تنتشر عبر شبكة التعاون العامة والخاصة بأكملها","يتلقى إشعارات تلقائية من Perceptrum عند التطابق مع قائمة المراقبة","ينسّق عمليات متكاملة بين الفضاء العام والمروري (F.A.S.T.) والخاص (Perceptrum)","يمركز التنبيهات والأدلة ومسار التتبع لكامل الشبكة المتكاملة"]},{title:"2.5 النموذج التجاري",type:"params",params:[{param:"الترخيص",value:"مؤسسي — عقد مع جهة حكومية أو شركة"},{param:"النشر",value:"On-premise على خوادم العميل"},{param:"الدعم",value:"الإعداد والتكوين مشمولان"},{param:"النموذج التجريبي",value:"قابل للنشر في 7 أيام عمل على البنية التحتية الحالية"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"ذكاء متعدد الوسائط للبيئة الخاصة — من المنزل إلى الشركة الكبرى",sections:[{title:"2.6 التركيز والنطاق التشغيلي",desc:"منصة للقطاع الخاص والتجاري والسكني والمجمعات السكنية. تُديمقرط الوصول إلى ذكاء المراقبة المتقدم.",type:"list",items:["المساكن والمنازل","المجمعات والمباني السكنية والتجارية","المشاريع الصغيرة والمتوسطة","سلاسل التجزئة والمتاجر","البنوك والمؤسسات المالية","مراكز التسوق والمواقف","المدارس والجامعات الخاصة","المستشفيات والعيادات الخاصة","المستودعات ومرافق اللوجستيك","المزارع والعقارات الريفية"]},{title:"2.7 البنية التحتية الحصرية",type:"params",params:[{param:"يعمل على",value:"الحاسوب الشخصي للمستخدم (المنزلي أو الشركة)"},{param:"الحد الأدنى للمعالج",value:"Intel i5 أو أفضل"},{param:"GPU",value:"غير مطلوبة"}

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45,{label:"AIプロバイダー抽象化",detail:"設定可能なエンドポイント、認証情報、制限；最小限の影響でプロバイダーを切り替え"}]},{id:"s2",title:"1.2 カメラとソースの取り込み",type:"mixed",items:[{label:"ユニバーサル互換性",detail:"ブランド、メーカー、モデル、世代に関わらずあらゆるカメラ"},{label:"アナログとデジタル",detail:"ハードウェアの交換不要"},{label:"主要プロトコル",detail:"RTSP、ONVIF、同等のHTTP/ファイルメソッド"},{label:"DVR / NVR / NAS",detail:"顧客にすでに設置されている機器を読み取り"},{label:"一括インポート",detail:"カメラのメタデータ付きExcelまたはCSV（IP、メーカー、ユーザー、パスワード、ポートなど）"},{label:"自律稼働",detail:"内部ネットワーク経由で完全ローカル — インターネットへのストリーム露出なし"},{label:"ネットワークセキュリティ",detail:"リモートアクセスのためのオープンポートなし、NAT/トンネル設定なし"},{label:"スケーラビリティ",detail:"1からNのカメラ/オーディオチャンネルを並行処理"},{label:"ストリーム可用性",detail:"障害後の監視と自動復旧"}]},{id:"s3",title:"1.3 タスクオーケストレーション — JOB / STEP",desc:"監視ルーティンで人間のオペレーターを置き換えるインテリジェント自動化システム。自然言語のプロンプトで作成 — コードなし、プログラミングなし。",type:"capabilities",items:[{label:"JOB（タスク）",detail:"1またはNのカメラ/チャンネルを読み取り、定義された条件に基づいて行動する監視ユニット"},{label:"STEP（ステップ）",detail:"各JOBは複数の連鎖ステップで構成；あるカメラの結果（出力）が次のカメラ（入力）に入力される"},{label:"ステップごとの複数ソース",detail:"各STEPは1つ以上のカメラおよび/または1つ以上のオーディオチャンネルを有効化できる"},{label:"インテリジェントチェーン",detail:"ステップ間の認知依存；フローは前の結果に基づいて変化"},{label:"ネイティブ条件付き決定",detail:"実際の結果に基づく分岐、中断、繰り返し、またはエスカレーション"},{label:"チャンネルごとのプロンプト",detail:"各カメラまたはオーディオチャンネルは同じJOB内で特定のプロンプトを受け取る"},{label:"スケジューリング",detail:"定義された期間または継続的な期間で計画された日時に実行"},{label:"即時有効化/無効化",detail:"再設定不要"},{label:"タスクバージョン管理",detail:"設定とプロンプトの履歴"},{label:"非技術者による作成",detail:"技術的な知識を持たないオペレーターがインテリジェントエージェントとのインターフェイスを介して完全なJOBを作成"}],params:[{param:"JOB作成",value:"自然言語（テキストまたは音声） — コードなし"},{param:"チェーン",value:"STEP NはSTEP N-1の認知結果を使用"},{param:"STEPごとのソース",value:"1つ以上のカメラ + 1つ以上のオーディオチャンネル"},{param:"スケジューリング",value:"日付、時間、期間、繰り返しを設定可能"}]},{id:"s4",title:"1.4 検出と分類の機能",type:"grouped",groups:[{label:"ビデオベースの検出（コンピュータービジョン／マルチモーダル）",items:["設定されたプロンプトに従った関連する状況と行動の識別","関心人物の認識 — 自動イベント関連付けを持つウォッチリスト","条件付きトリガーによる人数カウント（X人以上／X人未満／ちょうどX人）","1人または複数の個人／車両の時間追跡","再識別によるマルチカメラ追跡 — カメラA → N → B間の移動を追跡","ルート逸脱と予想軌道違反の検出","ナンバープレート、看板、カメラで見えるテキストコンテンツの読み取り","設定可能なハンドジェスチャーと手話ジェスチャーの識別（プロンプトで定義された場合）","感情状態と紛争前のボディランゲージの検出"]},{label:"オーディオベースの検出（音声／サウンド／マルチモーダル）",items:["該当する場合に文字起こし（STT）を含むライブおよび録画オーディオ分析","ダイアライゼーション — 話者の分離と識別、話者ごとのサマリーと会話全体のサマリー","パラメーター設定に従った発話キーワードの検出","設定可能なフレーズと意味パターンの検出","イベントを示す発話パターンの検出 — 緊急性、衝突、繰り返し","レビューのための関連クリップのハイライト"]},{label:"アラームシステム",items:["条件が満たされた場合のアラーム — 例：「ポイントAでX人のグループを検出」","条件が満たされない場合のアラーム — 例：「個人が期間T内にカメラYを通過しなかった」","通過シーケンスロジックのアラーム — 設定可能なマルチポイントワークフロー","設定可能なトリガー、時間枠、相関基準","設定可能な重大度レベル、受信者、通知チャンネル","アラームに添付された証拠 — フレーム、ビデオクリップ、オーディオセグメント","アラームライフサイクル記録 — 生成、ルーティング、受信、クローズ"]}]},{id:"s5",title:"1.5 コンテキスト化と証拠生成",type:"capabilities",items:[{label:"自動コンテキスト説明",detail:"検出されたイベントごとに自然言語で生成"}

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45ªã—"},{param:"GPU",value:"不要"},{param:"サーバー",value:"従来型 — データベースとカメラの同時読み取り専用"},{param:"スケール",value:"大規模組織ネットワーク — 数十から数千台のカメラ"}]},{title:"2.3 特定の検出",type:"list",items:["境界、アクセスポイント、重要環境での不審な動き","機密エリアと相容れない行動","侵入と不正アクセス試行","衝突と暴力的な状況","拘留施設での脱走試行","武器の存在","危険な場所に放置された物体","行動パターンの突然の変化","重要ポイントでの異常な人の集まり","ミッションクリティカルな環境でのリスク状況 — 空港、国境、刑務所","テンポラルエンジン：プロンプトを実行し、人間の介入なしにシステムが継続"]},{title:"2.4 協力ネットワークの調整",type:"list",items:["公共および民間協力ネットワーク全体に広がる検索と追跡を開始","ウォッチリストの一致時にPerceptrumから自動通知を受信","公共、交通（F.A.S.T.）、民間（Perceptrum）空間間の統合操作を調整","統合ネットワーク全体のアラーム、証拠、追跡証跡を集中管理"]},{title:"2.5 ビジネスモデル",type:"params",params:[{param:"ライセンス",value:"組織向け — 公共機関または企業との契約"},{param:"展開",value:"顧客サーバーへのオンプレミス"},{param:"サポート",value:"オンボーディングと設定含む"},{param:"パイロット",value:"既存インフラで7営業日以内に展開可能"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"プライベート環境のためのマルチモーダルインテリジェンス — 家庭から大企業まで",sections:[{title:"2.6 フォーカスと運用範囲",desc:"民間、商業、住宅、マンション向けプラットフォーム。高度な監視インテリジェンスへのアクセスを民主化。",type:"list",items:["住宅と一戸建て","マンションと住宅・商業ビル","中小企業","小売チェーンと店舗","銀行と金融機関","ショッピングモールと駐車場","私立学校と大学","私立病院とクリニック","倉庫と物流施設","農場と農村の不動産"]},{title:"2.7 独自インフラ",type:"params",params:[{param:"稼働環境",value:"ユーザーのパソコン（家庭または企業）"},{param:"最低プロセッサー",value:"Intel i5以上"},{param:"GPU",value:"不要"},{param:"ストレージ",value:"分析中の一時画像用ディスク容量"},{param:"DVR/NVR",value:"過去の録画検索のためのネイティブ読み取り"},{param:"有効化",value:"分単位 — CSVでカメラをインポートして即時開始"}]},{title:"2.8 特定の検出",type:"list",items:["異常な時間帯や場所でのパターン外の動き","窃盗、強盗、暴行 — 典型的な奪取行動","制限区域への無断侵入","境界リスクと侵入試行","助けを求める声 — 緊急ジェスチャーと行動","放置された不審物","プロセスでの運用上の異常（物流、在庫、配送）","自動プロセス検証：車両、ナンバープレート、配達業者、数量カウント","環境タイプに応じた設定可能なイベント — インストールごとのプロファイル","保護命令違反者を特定（接近禁止命令など）"]},{title:"2.9 自発的協力（Perceptrum独自）",type:"list",items:["自発的協力フラグ — オーナーが有効化と参加するカメラを決定","有効化時：カメラはPerceptrum CorporateまたはF.A.S.T.-AIが発行した検索に参加","分析はローカルで実行 — プライベートユーザーのコンピューター上","公共センターへの継続的なビデオストリームの送信なし","外部への開放ネットワークポートなし","センターには結果（一致）のみ送信 — 画像は送信しない","アラームには：オーバーレイ付き個人の画像、日時、カメラ、住所、GPS、信頼レベルを含む","オーナーによりいつでも参加を撤回可能","GDPR/LGPD完全準拠 — 建築設計によるプライバシー"]},{title:"2.10 ビジネスモデル",type:"params",params:[{param:"無料版",value:"基本的な監視機能 — コストなし、クレジットカード不要"},{param:"プレミアム版",value:"フルアクセス — 手頃な月次ライセンス"},{param:"公共協力",value:"プライベートユーザーに無料 — コストはクエリごとに公共機関が支払い"},{param:"国への費用",value:"検索1回あたり数円 — 検索がトリガーされた時ã

45®ã¿æ”¯æ‰•ã„"},{param:"配布",value:"全国のプライベートユーザーに配布可能"}]}]},{id:"fast-ai",product:"F.A.S.T.-AI",color:"#00AAFF",icon:"🚦",tagline:"領域インテリジェンス、モビリティ、都市空間のダイナミック読み取り",sections:[{title:"2.11 フォーカスと運用範囲",desc:"モビリティ、交通、都市計画、ダイナミックな領域解釈のためのプラットフォーム。",type:"list",items:["市交通・モビリティ部","都市運営センター（COU）","公共事業・都市計画部","交通取締機関","大規模公共イベント主催者","高速道路・駐車場コンセッション事業者","公共安全部隊 — 車両追跡と道路作業"]},{title:"2.12 独自インフラ",type:"params",params:[{param:"稼働環境",value:"交通・都市計画担当企業のサーバー"},{param:"GPU",value:"不要（複雑な違反分析と高速道路の事故防止SBCを除く）"},{param:"ストレージ",value:"低 — NAS、DVR、NVR、既存ストリーミングから直接読み取り"},{param:"互換ソース",value:"公道カメラ、信号機、固定・移動式レーダー — あらゆる規格"},{param:"スケール",value:"完全な都市道路ネットワーク — 地区、回廊、都市"}]},{title:"2.13 特定の検出",type:"list",items:["交通違反 — 証拠付きの自動違反金生成","事故と歩行者事故 — 検出と即時通知","渋滞形成 — 崩壊前の早期検出","道路封鎖と迂回","公共スペースの不規則な使用","都市モビリティに影響する非典型的なイベント","道路と戦略的エリアでの運用リスク","フローパターン、重要ゾーン、繰り返し","不審車両の追跡 — ナンバープレート、モデル、色、ルート","道路と公共スペースでの人の集中と密度","オペレーターの要求があれば自動追跡"]},{title:"2.14 領域インテリジェンス（F.A.S.T.-AI独自）",type:"list",items:["時間、曜日、ゾーン別の車両と歩行者フローパターン分析","重要ゾーンとインシデントの繰り返しの識別","実際のデータによる道路・都市計画決定のサポート","大臣と管理者のためのリアルタイム領域管理ダッシュボード","大型イベント管理のサポート — 密度、フロー、暴動リスク","領域行動に関する戦略的情報の継続的な生成"]},{title:"2.15 ビジネスモデル",type:"params",params:[{param:"ライセンス",value:"市区町村／地域 — 公共モビリティまたはセキュリティ機関との契約"},{param:"展開",value:"市区町村またはコンセッション事業者サーバー — 既存インフラ上"},{param:"直接ROI",value:"自動違反金収入がプラットフォームコストを上回る"},{param:"パイロット",value:"既存公共カメラで7営業日以内に展開可能"}]}]}],comparison:{title:"3つのプラットフォームの比較サマリー",rows:[{feature:"主なフォーカス",drakon:"公共セクターとミッションクリティカル",perceptrum:"民間・住宅セクター",fast:"交通と都市計画"},{feature:"稼働環境",drakon:"顧客サーバー（オンプレミス）",perceptrum:"パソコン（i5+）",fast:"市区町村/コンセッションサーバー"},{feature:"GPU必要",drakon:"❌ いいえ",perceptrum:"❌ いいえ",fast:"❌ いいえ（SBCを除く）"},{feature:"カメラ交換",drakon:"❌ 不要",perceptrum:"❌ 不要",fast:"❌ 不要"},{feature:"ライブ分析（24/7）",drakon:"✅ はい",perceptrum:"✅ はい",fast:"✅ はい"},{feature:"録画後処理",drakon:"✅ はい（DVR/NVR/NAS）",perceptrum:"✅ はい（DVR/NVR/NAS）",fast:"✅ はい（DVR/NVR/NAS）"},{feature:"自然言語JOB",drakon:"✅ はい",perceptrum:"✅ はい",fast:"✅ はい"},{feature:"API/Webhook統合",drakon:"✅ はい",perceptrum:"✅ はい",fast:"✅ はい"},{feature:"マルチカメラ追跡",drakon:"✅ はい",perceptrum:"✅ はい",fast:"✅ はい"},{feature:"プライベート協力ネットワーク",drakon:"✅ 検索を調整",perceptrum:"✅ 参加（自発的）",fast:"✅ 道路検索を調整"}

45,{feature:"無料版あり",drakon:"❌ いいえ",perceptrum:"✅ はい（基本）",fast:"❌ いいえ"},{feature:"PoC利用可能",drakon:"✅ はい",perceptrum:"❌ いいえ",fast:"✅ はい"},{feature:"自動違反金",drakon:"❌ フォーカス外",perceptrum:"❌ フォーカス外",fast:"✅ はい — 自動生成"},{feature:"領域インテリジェンス",drakon:"組織的・運用的",perceptrum:"民間・運用的",fast:"✅ 領域的・都市的"},{feature:"GDPR/LGPD準拠",drakon:"✅ はい",perceptrum:"✅ はい（設計による）",fast:"✅ はい"},{feature:"パイロット有効化時間",drakon:"最大7営業日",perceptrum:"数分",fast:"最大7営業日"}]}},ko:{hero:{badge:"기술 사양",title:"기술 사양",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"평가, 조달 및 통합 프로세스를 위한 구조화된 기술 문서입니다. AiQuimist 세 플랫폼 모두의 사양 — 공통 기능 및 독점 차별화 요소.",part1:"파트 1 — 핵심 사양",part1sub:"세 플랫폼 모두에 공통된 기능",part2:"파트 2 — 전용 사양",part2sub:"각 제품의 특정 차별화 요소",part3:"비교 요약"},copy:"표 복사",copied:"복사됨!",yes:"✅ 예",no:"❌ 아니오",feature:"기능",capacity:"용량",detail:"세부사항",param:"매개변수",value:"값",sections:[{id:"s1",title:"1.1 AI 엔진 — 범용 멀티모달 해석",desc:"AiQuimist 플랫폼은 비디오, 오디오, 텍스트 및 이미지를 동시에 분석하여 실제 맥락을 추출하고 관련 상황을 식별합니다.",type:"capabilities",items:[{label:"🎥 비디오",detail:"라이브 카메라 및 녹화의 실시간 분석. 장면, 객체, 행동, 움직임 및 패턴을 인식합니다."},{label:"🔊 오디오",detail:"음성, 키워드, 의미 패턴, 어조, 긴박성, 갈등 및 구성 가능한 관심 소리 감지."},{label:"📄 텍스트 및 이미지",detail:"파일 업로드 및 분석(비디오, 이미지, 오디오, 텍스트). 소스 간 증거, 메타데이터 및 상관관계 추출."},{label:"네이티브 시간적 처리",detail:"개별 프레임뿐만 아니라 움직임의 흐름을 분석"},{label:"대용량 컨텍스트 윈도우",detail:"이벤트 상관관계를 위해 긴 비디오/오디오 기간의 메모리 유지"}

45,{label:"실시간 분석(라이브)",detail:"24×7 카메라 스트림 및 오디오 채널"},{label:"사후 처리",detail:"NVR, DVR, NAS의 파일 및 녹화에 동일한 감지 기준 적용"},{label:"디지털 파일 업로드",detail:"상관된 멀티모달 분석을 위한 비디오, 이미지, 오디오 및 텍스트"},{label:"감정 상태 식별",detail:"신체 언어, 어조 및 행동 신호 판독"},{label:"AI 공급업체 추상화",detail:"구성 가능한 엔드포인트, 자격 증명 및 제한; 최소한의 영향으로 공급업체 변경"}]},{id:"s2",title:"1.2 카메라 및 소스 수집",type:"mixed",items:[{label:"범용 호환성",detail:"브랜드, 제조사, 모델 또는 세대에 관계없이 모든 카메라"},{label:"아날로그 및 디지털",detail:"하드웨어 교체 필요 없음"},{label:"주요 프로토콜",detail:"RTSP, ONVIF 및 동등한 HTTP/파일 방법"},{label:"DVR / NVR / NAS",detail:"고객에 이미 설치된 장비 읽기"},{label:"대량 가져오기",detail:"카메라 메타데이터가 포함된 Excel 또는 CSV(IP, 제조사, 사용자, 비밀번호, 포트 등)"},{label:"자율 운영",detail:"내부 네트워크를 통해 완전히 로컬 — 인터넷에 스트림 노출 없음"},{label:"네트워크 보안",detail:"원격 액세스를 위한 포트 개방 또는 터널/NAT 설정 없음"}

45,{label:"확장성",detail:"병렬로 1~N개의 카메라/오디오 채널"},{label:"스트림 가용성",detail:"장애 후 모니터링 및 자동 복구"}]},{id:"s3",title:"1.3 작업 오케스트레이션 — JOB / STEP",desc:"감시 루틴에서 인간 운영자를 대체하는 지능형 자동화 시스템. 자연어 프롬프트로 생성 — 코딩 또는 프로그래밍 없음.",type:"capabilities",items:[{label:"JOB(작업)",detail:"1개 또는 N개의 카메라/채널을 읽고 정의된 조건에 따라 작동하는 모니터링 단위"},{label:"STEP(단계)",detail:"각 JOB은 여러 연결된 단계로 구성; 한 카메라의 결과(출력)가 다음(입력)에 공급됨"},{label:"단계당 여러 소스",detail:"각 STEP은 1개 이상의 카메라 및/또는 1개 이상의 오디오 채널을 활성화할 수 있음"},{label:"지능형 연결",detail:"단계 간 인지적 의존성; 이전 결과에 따라 흐름이 변경됨"},{label:"네이티브 조건부 결정",detail:"실제 결과를 기반으로 분기, 중단, 반복 또는 에스컬레이션"},{label:"채널당 프롬프트",detail:"각 카메라 또는 오디오 채널은 동일한 JOB 내에서 특정 프롬프트를 수신"},{label:"스케줄링",detail:"정의된 또는 지속적인 기간으로 예약된 날짜 및 시간에 실행"},{label:"즉시 활성화/비활성화",detail:"재구성 필요 없음"},{label:"작업 버전 관리",detail:"구성 및 프롬프트 기록"},{label:"비기술 사용자 생성",detail:"기술 지식이 없는 운영자가 지능형 에이전트 인터페이스를 통해 완전한 JOB 생성"}],params:[{param:"JOB 생성",value:"자연어(텍스트 또는 음성) — 코딩 없음"},{param:"연결",value:"STEP N은 STEP N-1의 인지적 결과 사용"},{param:"STEP당 소스",value:"1개 이상의 카메라 + 1개 이상의 오디오 채널"},{param:"스케줄링",value:"날짜, 시간, 기간 및 반복 구성 가능"}]},{id:"s4",title:"1.4 감지 및 분류 기능",type:"grouped",groups:[{label:"비디오 기반 감지(컴퓨터 비전 / 멀티모달)",items:["구성된 프롬프트에 따른 관련 상황 및 행동 식별","관심 인물 인식 — 자동 이벤트 연관이 포함된 감시 목록","조건부 트리거를 통한 인원 계수(X보다 많음 / 적음 / 정확히 X)","시간에 따른 1명 또는 여러 개인/차량 추적","재식별을 통한 다중 카메라 추적 — 카메라 A → N → B 간 이동 추적","경로 이탈 및 예상 궤적 위반 감지","번호판, 표지판 및 카메라에 표시된 텍스트 내용 판독","구성 가능한 수동 제스처 및 수화 제스처 식별(프롬프트에서 정의된 경우)","감정 상태 및 사전 갈등 신체 언어 감지"]},{label:"오디오 기반 감지(음성 / 소리 / 멀티모달)",items:["실시간 및 녹화된 오디오 분석(해당되는 경우 STT 전사 포함)","화자 분리 — 화자 요약 및 전체 대화 요약으로 화자 식별 및 분리","매개변수화에 따른 구어 키워드 감지","구성 가능한 구문 및 의미 패턴 감지","발생 징후 음성 패턴 감지 — 긴박성, 갈등, 반복","감사를 위한 관련 세그먼트 강조"]},{label:"알림 시스템",items:["충족 조건에 따른 알림 — 예: 'A 지점에서 X명의 그룹 감지됨'","미충족 조건에 따른 알림 — 예: 'T 시간 내에 개인이 카메라 Y를 통과하지 않음'","단계 시퀀스 로직이 있는 알림 — 구성 가능한 다중 포인트 워크플로","구성 가능한 트리거, 시간 창 및 상관관계 기준","구성 가능한 심각도 수준, 수신자 및 알림 채널","알림에 첨부된 증거 — 프레임, 비디오 클립, 오디오 세그먼트","알림 수명 주기 기록 — 생성, 전송, 수신 및 종료"]}]},{id:"s5",title:"1.5 컨텍스트화 및 증거 생성",type:"capabilities",items:[{label:"자동 컨텍스트 설명",detail:"감지된 각 이벤트에 대해 자연어로 생성"},{label:"구조화된 메타데이터",detail:"소스, 날짜/시간, 논리적 위치, 이벤트 유형, 심각도"}

45,{label:"자동 상관관계",detail:"여러 소스 간 동일 개인, 동일 영역, 동일 간격"},{label:"증거 추출",detail:"프레임, 비디오 클립, 오디오 세그먼트, 인식된 텍스트"},{label:"추론 추적 가능성",detail:"모든 감지의 로그 및 감사"},{label:"운영 보고서",detail:"완전한 감사 추적"}]},{id:"s6",title:"1.6 자연어 운영",desc:"기술 교육 없이도 모든 운영자가 텍스트 또는 음성을 사용하여 완전한 JOB을 생성, 구성 및 운영할 수 있습니다. 프로그래밍, 스크립트 또는 외부 도구 없음.",type:"capabilities",items:[{label:"자연어 쿼리",detail:"컨텍스트화된 답변이 포함된 질문"},{label:"텍스트 및 음성 명령",detail:"작업 생성, 편집 및 활성화"},{label:"프롬프트로 완전한 구성",detail:"모니터링, 알림, 트리거 및 수신자"},{label:"거버넌스 제어",detail:"중요한 작업에 대한 확인, 프로필별 제한"},{label:"감사 추적",detail:"모든 명령 및 변경 사항 기록"}]},{id:"s7",title:"1.7 외부 통합 — API 및 Webhook",type:"capabilities",items:[{label:"자동 웹훅 실행",detail:"정의된 조건을 기반으로 외부 API 호출"},{label:"비기술 운영자 구성",detail:"자연어 프롬프트를 통해"},{label:"구조화된 페이로드",detail:"JSON의 메타데이터 및 증거"}

45,{label:"외부 호출 인증",detail:"토큰, 키, 서명 및 허용 목록"},{label:"요청 감사",detail:"모든 외부 호출의 완전한 로그"},{label:"실패 처리",detail:"재시도, 대기열 및 로그"},{label:"상호 운용성",detail:"대시보드, 메시징, 레코드 및 관리 시스템"}],params:[{param:"프로토콜",value:"REST API + Webhooks"},{param:"페이로드",value:"메타데이터, 증거 및 컨텍스트가 포함된 구조화된 JSON"},{param:"인증",value:"토큰, 키, 서명 및 허용 목록"},{param:"감사",value:"모든 외부 호출의 완전한 로그"}]},{id:"s8",title:"1.8 소비 지표 및 비용 관리",type:"capabilities",items:[{label:"JOB/STEP별 지표",detail:"자세한 기록 및 가용성"},{label:"카메라/오디오 채널별 지표",detail:"소스별 개별 소비"},{label:"사용자/프로필별 지표",detail:"운영자별 사용량 추적"},{label:"토큰 및 요청 계수",detail:"지연 시간이 포함된 추정 및 실제 값"},{label:"차원별 비용",detail:"JOB, 카메라 및 사용자"},{label:"할당량 및 비용 센터",detail:"할당량 및 부서별 분리 지원"}]},{id:"s9",title:"1.9 하드웨어 요구 사항",type:"params",params:[{param:"GPU",value:"필요 없음 — 세 플랫폼 모두"},{param:"GPU (F.A.S.T.-AI)",value:"일부 복잡한 위반 및 고속도로 사고 예방 SBC 솔루션에 사용됨"},{param:"전용 하드웨어",value:"필요 없음 — 기존 인프라와 통합"},{param:"카메라",value:"교체 없음 — 설치된 모든 장비와 호환"},{param:"지원 OS",value:"Windows(네이티브 호환성)"},{param:"배포",value:"온프레미스, 공공/사설 클라우드(국내 영토) 또는 하이브리드"},{param:"활성화",value:"월이 아닌 일 — 최대 7영업일 내에 파일럿 구현 가능"}]},{id:"s10",title:"1.10 정보 보안, 거버넌스 및 데이터 보호",type:"capabilities",items:[{label:"RBAC 액세스 제어",detail:"직무 분리 및 최소 권한"},{label:"완전한 감사 추적",detail:"운영, 명령, 구성 변경 및 프롬프트 로그"},{label:"데이터 보호",detail:"전송 중 및 저장 중"},{label:"보존 및 삭제 정책",detail:"해당하는 경우 가명화/익명화"},{label:"액세스 프로필 관리",detail:"수준별 운영 제한"},{label:"GDPR/LGPD 준수",detail:"최소화, 목적, 필요성 및 책임"},{label:"자격 증명 저장",detail:"Windows Credential Manager/DPAPI 또는 동등물 — 일반 텍스트 금지"}]},{id:"s11",title:"1.11 가용성 및 운영 연속성",type:"capabilities",items:[{label:"24×7 운영",detail:"중단 없는 지속적인 모니터링"},{label:"자동 복구",detail:"개입 없이 스트림 장애 후 재개"},{label:"연결 중단 복원력",detail:"녹화된 콘텐츠 재처리"},{label:"대기열 및 재처리",detail:"공백 없는 커버리지 보장"},{label:"고가용성",detail:"구성된 경우 중복성, 복제 및 부하 분산"}]},{id:"s12",title:"1.12 민간 협력 네트워크 통합",desc:"AiQuimist 생태계의 독점 기능: 자발적 사용자의 민간 카메라가 비디오를 전송하거나 네트워크 포트를 열지 않고 공공 검색에 자동으로 참여합니다.",type:"capabilities",items:[{label:"무료 배포",detail:"전국 민간 사용자에게 배포 가능한 Windows용 솔루션"},{label:"페어링 메커니즘",detail:"활성화 코드, 장치 연결 및 취소"},{label:"승인된 엔드포인트만",detail:"승인된 엔드포인트만 데이터/이벤트를 소비하거나 게시할 수 있음"},{label:"로컬 감지 및 알림",detail:"분석은 민간 사용자의 컴퓨터에서 발생"},{label:"일치 알림",detail:"감시 목록과 일치할 때 중앙 플랫폼으로 자동"},{label:"구조화된 알림",detail:"오버레이가 있는 개인 이미지, 날짜/시간, 카메라, 전체 주소, GPS, 신뢰도, 식별자"},{label:"Re-ID 알고리즘",detail:"재식별 및 해당하고 허가된 경우 얼굴 인식"},{label:"자발적 참여",detail:"사용자가 협력을 활성화할지 및 어떤 카메라가 참여할지 결정"},{label:"설계에 의한 개인 정보 보호",detail:"열린 포트 없음, 지속적으로 전송되는 스트림 없음"}

45,{label:"GDPR/LGPD 완전 준수",detail:"로컬 분석, 관련 결과만 공유"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"공공 운영 및 임무 중요 환경을 위한 제도적 지능",sections:[{title:"2.1 초점 및 운영 범위",desc:"공공, 제도적 및 고중요도 기업 부문을 대상으로 하는 플랫폼. 대규모 카메라 네트워크에서 운영됩니다.",type:"list",items:["시, 주 및 연방 정부","경찰, 자치경비대 및 보안부","통합지휘통제센터(CIOP)","교도소 및 구금 시설","공항, 항구 및 터미널","êµ­ê²½ 및 국가 주요 인프라","공공 기업 및 복잡한 운영의 대형 민간 기업","대형 민간 기업: 은행, 물류 등"]},{title:"2.2 전용 인프라",type:"params",params:[{param:"실행 위치",value:"고객 자체 서버(온프레미스)"},{param:"데이터 보안",value:"100% 내부 — 인터넷에 노출된 정보 없음"},{param:"GPU",value:"필요 없음"},{param:"서버",value:"일반 — 데이터베이스 전용 및 동시 카메라 읽기"},{param:"규모",value:"대규모 제도적 네트워크 — 수십에서 수천 개의 카메라"}]},{title:"2.3 특정 감지",type:"list",items:["경계, 접근 및 중요 환경에서의 의심스러운 움직임","민감한 영역과 호환되지 않는 행동","침입 및 무단 접근 시도","갈등 및 폭력 상황","구금 시설에서의 탈출 시도","무기 존재","위험 장소에 물체 방치","행동 패턴의 급격한 변화","중요 지점에서의 비정상적인 인원 집중","임무 중요 환경의 위험 상황 — 공항, êµ­ê²½, 교도소","시간 엔진: 프롬프트를 실행하고 시스템이 인간 개입 없이 계속됨"]},{title:"2.4 협력 네트워크 조정",type:"list",items:["전체 공공 및 민간 협력 네트워크에 전파되는 검색 및 추적 실행","감시 목록과 일치할 때 Perceptrum의 자동 알림 수신","공공, 도로(F.A.S.T.) 및 민간(Perceptrum) 공간 간 통합 운영 조정","전체 통합 네트워크의 알림, 증거 및 추적 기록 중앙화"]},{title:"2.5 상업 모델",type:"params",params:[{param:"라이선싱",value:"제도적 — 공공 기관 또는 기업과의 계약"},{param:"배포",value:"고객 서버에 온프레미스"},{param:"지원",value:"온보딩 및 구성 포함"},{param:"파일럿",value:"기존 인프라에서 최대 7영업일 내에 구현 가능"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"가정에서 대기업까지 민간 환경을 위한 멀티모달 지능",sections:[{title:"2.6 초점 및 운영 범위",desc:"민간, 상업, 주거 및 콘도미니엄 부문을 대상으로 하는 플랫폼. 고급 모니터링 지능에 대한 접근을 민주화합니다.",type:"list",items:["주거 및 가정","콘도미니엄 및 주거/상업용 건물","소규모 및 중규모 상업시설","소매 체인 및 매장","은행 및 금융 기관","쇼핑몰 및 주차장","사립학교 및 대학교","민간 병원 및 클리닉","창고 및 물류 시설","농장 및 농촌 부동산"]},{title:"2.7 전용 인프라",type:"params",params:[{param:"실행 위치",value:"사용자의 개인 컴퓨터(가정 또는 기업용)"},{param:"최소 프로세서",value:"Intel i5 이상"},{param:"GPU",value:"필요 없음"},{param:"저장소",value:"분석 시 임시 이미지를 위한 디스크 공간"},{param:"DVR/NVR",value:"이전 녹화 검색을 위한 네이티브 읽기"},{param:"활성화",value:"분 단위 — CSV로 카메라 가져오기 및 즉시 시작"}]},{title:"2.8 특정 감지",type:"list",items:["비정상적인 시간 또는 장소에서 패턴을 벗어난 움직임","절도, 강도 및 폭행 — 전형적인 절도 행동","제한 구역에 부적절하게 존재","경계 위험 및 침입 시도","도움 요청 — 도움 제스처 및 행동","의심스러운 물체 방치","프로세스의 운영 이상(물류, 재고, 배달)","자동화된 프로세스 검증: 차량, 번호판, 배달원, 물량 계수","환경 유형별 구성 가능한 이벤트 — 각 시설의 프로필","보호 명령 위반자 위치 추적(접근 금지 명령 등)"]},{title:"2.9 자발적 협력(Perceptrum 전용)",type:"list",items:["자발적 협력 플래그 — 소유자가 활성화 여부 및 어떤 카메라가 참여할지 결정","활성화 시: 카메라가 Perceptrum Corporate 또는 F.A.S.T.-AI에서 발행된 검색에 참여","로컬에서 실행되는 분석 — 민간 사용자 자신의 컴퓨터에서","공공 센터에 지속적으로 전송되는 비디오 스트림 없음","외부에 열린 네트워크 포트 없음","ê²°ê³¼(일치)만 센터로 전송 — 이미지 아님","알림에 포함: 오버레이가 있는 개인 이미지, 날짜/시간, 카메라, 주소, GPS, 신뢰도","소유자가 언제든지 철회 가능한 참여","GDPR/LGPD 완전 준수 — 아í

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45,{label:"🔊 Ses",detail:"Konuşma, anahtar kelime, anlamsal kalıp, ses tonu, aciliyet, çatışma ve yapılandırılabilir ilgi sesi tespiti."},{label:"📄 Metin ve Görüntü",detail:"Dosya yükleme ve analizi (video, görüntü, ses, metin). Kaynaklar arasında kanıt, meta veri ve korelasyon çıkarımı."},{label:"Yerel zamansal işleme",detail:"Yalnızca izole kareler değil, hareket akıcılığını analiz eder"},{label:"Büyük bağlam penceresi",detail:"Olay korelasyonu için uzun video/ses dönemlerinin belleğini korur"},{label:"Gerçek zamanlı analiz (canlı)",detail:"24×7 kamera akışları ve ses kanalları"},{label:"Sonradan işleme",detail:"NVR, DVR, NAS'tan dosyalar ve kayıtlara aynı tespit kriterleri uygulanır"},{label:"Dijital dosya yükleme",detail:"İlişkili çok modlu analiz için video, görüntü, ses ve metin"},{label:"Duygusal durum tanımlama",detail:"Beden dili, ses tonu ve davranışsal sinyallerin okunması"},{label:"AI sağlayıcı soyutlaması",detail:"Yapılandırılabilir uç noktalar, kimlik bilgileri ve limitler; minimum etkiyle sağlayıcı değişimi"}]},{id:"s2",title:"1.2 Kamera ve Kaynak Alımı",type:"mixed",items:[{label:"Evrensel uyumluluk",detail:"Marka, üretici, model veya nesil fark etmeksizin herhangi bir kamera"},{label:"Analog ve dijital",detail:"Donanım değişikliği gerekmez"},{label:"Ana protokol",detail:"RTSP, ONVIF ve eşdeğer HTTP/dosya yöntemleri"},{label:"DVR / NVR / NAS",detail:"Müşteride zaten kurulu ekipmanın okunması"},{label:"Toplu içe aktarma",detail:"Kamera meta verilerini içeren Excel veya CSV (IP, üretici, kullanıcı, şifre, port vb.)"},{label:"Özerk işletim",detail:"İç ağ üzerinden tamamen yerel — internet'e akış açığı yok"},{label:"Ağ güvenliği",detail:"Uzaktan erişim için port açılmaz, tünel/NAT yapılandırılmaz"},{label:"Ölçeklenebilirlik",detail:"Paralel 1 ila N kamera/ses kanalı"},{label:"Akış kullanılabilirliği",detail:"Arızalardan sonra izleme ve otomatik kurtarma"}]},{id:"s3",title:"1.3 Görev Orkestrasyonu — JOB / STEP",desc:"Gözetleme rutinlerinde insan o

45peratörlerin yerini alan akıllı otomasyon sistemi. Doğal dil istemleriyle oluşturulur — kod veya programlama gerektirmez.",type:"capabilities",items:[{label:"JOB (görev)",detail:"1 veya N kamera/kanal okuyan ve tanımlanmış koşullara göre çalışan izleme birimi"},{label:"STEP (adım)",detail:"Her JOB birden fazla zincirlenmiş adımdan oluşur; bir kameranın sonucu (çıktı) bir sonrakini besler (girdi)"},{label:"Adım başına birden fazla kaynak",detail:"Her STEP 1 veya daha fazla kamera ve/veya 1 veya daha fazla ses kanalını etkinleştirebilir"},{label:"Akıllı zincirleme",detail:"Adımlar arasında bilişsel bağımlılık; akış önceki sonuca göre değişir"},{label:"Yerel koşullu kararlar",detail:"Gerçek sonuca dayalı dallanma, kesinti, tekrarlama veya yükseltme"},{label:"Kanal başına istem",detail:"Her kamera veya ses kanalı aynı JOB içinde belirli bir istem alır"},{label:"Zamanlama",detail:"Tanımlanmış veya sürekli süreyle planlanan tarih ve saatlerde yürütme"},{label:"Anında etkinleştirme/devre dışı bırakma",detail:"Yeniden yapılandırma gerekmez"},{label:"Görev sürümleme",detail:"Yapılandırma ve istem geçmişi"},{label:"Teknik olmayan kullanıcı oluşturma",detail:"Teknik bilgisi olmayan operatörler akıllı ajan arayüzü aracılığıyla tam JOB oluşturur"}],params:[{param:"JOB oluşturma",value:"Doğal dil (metin veya ses) — kod yok"},{param:"Zincirleme",value:"STEP N, STEP N-1'in bilişsel sonucunu kullanır"},{param:"STEP başına kaynaklar",value:"1 veya daha fazla kamera + 1 veya daha fazla ses kanalı"},{param:"Zamanlama",value:"Tarih, saat, süre ve tekrarlama yapılandırılabilir"}]},{id:"s4",title:"1.4 Tespit ve Sınıflandırma Yetenekleri",type:"grouped",groups:[{label:"Video tabanlı tespit (bilgisayarlı görü / çok modlu)",items:["Yapılandırılmış istemlere göre ilgili durumların ve eylemlerin tanımlanması","İlgi kişilerinin tanınması — otomatik olay ilişkilendirme içeren izleme listesi","Koşullu tetikleyicilerle kişi sayımı (X'ten fazla / X'ten az / tam X)","Zaman içinde 1 veya birden fazla bireyin/aracın takibi","Yeniden tanımlama ile çok kameralı takip — kamera A → N → B arasındaki hareketi takip eder","Rota sapması ve beklenen yörünge ihlalinin tespiti","Plakaların, işaretlerin ve kamerada görünür metin içeriğinin okunması","Yapılandırılabilir el hareketleri ve işaret dili hareketlerinin tanımlanması (istemde tanımlandığında)","Duygusal durum ve çatışma öncesi beden dilinin tespiti"]},{label:"Ses tabanlı tespit (konuşma / sesler / çok modlu)",items:["Uygulanabilir durumlarda transkripsiyon (STT) ile gerçek zamanlı ve kaydedilmiş ses analizi","Hoparlör ayrımı — hoparlör özeti ve tüm konuşma özeti ile hoparlör tanımlama ve ayrımı","Parametrizasyona göre söylenen anahtar kelimelerin tespiti","Yapılandırılabilir ifade ve anlamsal kalıpların tespiti","Olay göstergeli konuşma kalıplarının tespiti — aciliyet, çatışma, tekrarlama","Denetim için ilgili segmentlerin vurgulanması"]},{label:"Uyarı sistemi",items:["Karşılanan koşul uyarısı — örn.: 'A noktasında X kişilik grup tespit edildi'","Karşılanmayan koşul uyarısı — örn.: 'birey T süresi içinde Y kamerasından geçmedi'","Adım sırası mantığı içeren uyarılar — yapılandırılabilir çok noktalı iş akışı","Yapılandırılabilir tetikleyiciler, zaman pencereleri ve korelasyon kriterleri","Yapılandırılabilir önem düzeyleri, alıcılar ve bildirim kanalları","Uyarılara eklenmiş kanıtlar — kareler, video klipleri, ses segmentleri","Uyarı yaşam döngüsü kaydı — oluşturma, gönderme, alma ve kapatma"]}]},{id:"s5",title:"1.5 Bağlamsallaştırma ve Kanıt Üretimi",type:"capabilities",items:[{label:"Otomatik bağlam açıklaması",detail:"Her tespit edilen olay için doğal dilde oluşturulur"},{label:"Yapılandırılmış meta veriler",detail:"Kaynak, tarih/saat, mantıksal konum, olay türü, önem"},{label:"Otomatik korelasyon",detail:"Birden fazla kaynak arasında aynı birey, aynı alan, aynı aralık"}

45,{label:"Kanıt çıkarımı",detail:"Kareler, video klipleri, ses segmentleri, tanınan metin"},{label:"Çıkarım izlenebilirliği",detail:"Tüm tespitlerin günlükleri ve denetimi"},{label:"Operasyonel raporlar",detail:"Tam denetim izi"}]},{id:"s6",title:"1.6 Doğal Dil İşletimi",desc:"Herhangi bir operatör — teknik eğitim olmaksızın — metin veya ses kullanarak tam JOB'ları oluşturabilir, yapılandırabilir ve işletebilir. Programlama, komut dosyaları veya harici araçlar gerektirmez.",type:"capabilities",items:[{label:"Doğal dil sorguları",detail:"Bağlamsal yanıtlı sorular"},{label:"Metin ve ses komutları",detail:"Görev oluşturma, düzenleme ve etkinleştirme"},{label:"İstemle tam yapılandırma",detail:"İzleme, uyarılar, tetikleyiciler ve alıcılar"},{label:"Yönetişim kontrolleri",detail:"Kritik eylemler için onay, profile göre kısıtlamalar"},{label:"Denetim izi",detail:"Tüm komutların ve değişikliklerin kaydı"}]},{id:"s7",title:"1.7 Harici Entegrasyonlar — API ve Webhook",type:"capabilities",items:[{label:"Otomatik webhook tetikleme",detail:"Tanımlanmış koşullara dayalı harici API çağrıları"},{label:"Teknik olmayan operatör yapılandırması",detail:"Doğal dil istemi aracılığıyla"},{label:"Yapılandırılmış yük",detail:"JSON'da meta veriler ve kanıtlar"},{label:"Harici çağrılarda kimlik doğrulama",detail:"Belirteçler, anahtarlar, imzalar ve izin listeleri"},{label:"İstek denetimi",detail:"Tüm harici çağrıların tam günlüğü"},{label:"Hata işleme",detail:"Yeniden denemeler, kuyruklar ve günlükler"},{label:"Birlikte çalışabilirlik",detail:"Panolar, mesajlaşma, kayıt ve yönetim sistemleri"}],params:[{param:"Protokol",value:"REST API + Webhooks"},{param:"Yük",value:"Meta veriler, kanıtlar ve bağlam içeren yapılandırılmış JSON"},{param:"Kimlik doğrulama",value:"Belirteçler, anahtarlar, imzalar ve izin listeleri"},{param:"Denetim",value:"Tüm harici çağrıların tam günlüğü"}]},{id:"s8",title:"1.8 Tüketim Metrikleri ve Maliyet Yönetimi",type:"capabilities",items:[{label:"JOB/STEP başına metrikler",detail:"Ayrıntılı kayıt ve kullanılabilirlik"},{label:"Kamera/ses kanalı başına metrikler",detail:"Kaynak başına bireysel tüketim"},{label:"Kullanıcı/profil başına metrikler",detail:"Operatör başına kullanım takibi"},{label:"Jeton ve istek sayımı",detail:"Gecikme ile tahmin ve gerçek değerler"},{label:"Boyuta göre maliyetler",detail:"JOB, kamera ve kullanıcı"},{label:"Kotalar ve maliyet merkezleri",detail:"Kota ve departmana göre ayrım desteği"}]},{id:"s9",title:"1.9 Donanım Gereksinimleri",type:"params",params:[{param:"GPU",value:"Gerekmez — üç platformun hiçbirinde"},{param:"GPU (F.A.S.T.-AI)",value:"Bazı karmaşık ihlaller ve otoyol kaza önleme SBC çözümü için kullanılır"},{param:"Tescilli donanım",value:"Gerekmez — mevcut altyapıyla entegre"},{param:"Kameralar",value:"Değişiklik yok — kurulu herhangi bir ekipmanla uyumlu"},{param:"Desteklenen işletim sistemi",value:"Windows (yerel uyumluluk)"},{param:"Dağıtım",value:"Yerinde, genel/özel bulut (ulusal toprak) veya hibrit"},{param:"Aktivasyon",value:"Aylar değil günler — en fazla 7 iş günü içinde pilot uygulanabilir"}]},{id:"s10",title:"1.10 Bilgi Güvenliği, Yönetişim ve Veri Koruma",type:"capabilities",items:[{label:"RBAC erişim kontrolü",detail:"Görev ayrımı ve en az ayrıcalık"},{label:"Tam denetim izleri",detail:"İşlem, komut, yapılandırma değişikliği ve istem günlükleri"},{label:"Veri koruma",detail:"Aktarım sırasında ve beklemede"},{label:"Saklama ve silme politikaları",detail:"Uygulanabilir durumlarda takma ad/anonimleştirme"},{label:"Erişim profili yönetimi",detail:"Seviyeye göre operasyonel kısıtlamalar"},{label:"GDPR/LGPD uyumu",detail:"Minimizasyon, amaç, gereklilik ve hesap verebilirlik"},{label:"Kimlik bilgisi depolama",detail:"Windows Kimlik Bilgisi Yöneticisi/DPAPI veya eşdeğeri — düz metin yasaktır"}]},{id:"s11",title:"1.11 Kullanılabilirlik ve Operasyonel Süreklilik",type:"capabilities",items:[{label:"24×7 işletim",detail:"Kesintisiz sürekli izleme"}

45,{label:"Otomatik kurtarma",detail:"Müdahale olmadan akış arızalarından sonra devam etme"},{label:"Bağlantı kesintisi dayanıklılığı",detail:"Kaydedilen içeriğin yeniden işlenmesi"},{label:"Kuyruklar ve yeniden işleme",detail:"Boşluksuz kapsama garantisi"},{label:"Yüksek kullanılabilirlik",detail:"Yapılandırıldığında yedeklilik, çoğaltma ve yük dengeleme"}]},{id:"s12",title:"1.12 Özel İşbirliği Ağıyla Entegrasyon",desc:"AiQuimist ekosisteminin özel özelliği: gönüllü kullanıcıların özel kameraları video iletmeden veya ağ portları açmadan kamuya açık aramalara otomatik olarak katılır.",type:"capabilities",items:[{label:"Ücretsiz dağıtım",detail:"Tüm ülkedeki özel kullanıcılara dağıtılabilen Windows çözümü"},{label:"Eşleştirme mekanizması",detail:"Aktivasyon kodu, cihaz bağlantısı ve iptal"},{label:"Yalnızca yetkili uç noktalar",detail:"Yalnızca yetkili uç noktalar veri/olayları tüketebilir veya yayımlayabilir"},{label:"Yerel tespit ve bildirim",detail:"Analiz özel kullanıcının bilgisayarında gerçekleşir"}

45,{label:"Eşleşme bildirimi",detail:"İzleme listesiyle eşleşme olduğunda merkezi platforma otomatik"},{label:"Yapılandırılmış uyarı",detail:"Katmanlı bireyin görüntüsü, tarih/saat, kamera, tam adres, GPS, güven düzeyi, tanımlayıcı"},{label:"Re-ID algoritmaları",detail:"Yeniden tanımlama ve uygulanabilir ve yetkilendirilmiş olduğunda yüz tanıma"},{label:"Gönüllü katılım",detail:"Kullanıcı işbirliğini etkinleştirip etkinleştirmeyeceğine ve hangi kameraların katılacağına karar verir"},{label:"Tasarımla gizlilik",detail:"Açık port yok, sürekli iletilen akış yok"},{label:"GDPR/LGPD tam uyumu",detail:"Yerel analiz, yalnızca ilgili sonuç paylaşımı"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"Kamu operasyonları ve kritik görev ortamları için kurumsal zeka",sections:[{title:"2.1 Odak ve Operasyonel Kapsam",desc:"Kamu, kurumsal ve yüksek kritiklik kurumsal sektörüne yönelik platform. Büyük ölçekli kamera ağlarında çalışır.",type:"list",items:["Belediyeler, eyalet ve federal hükümetler","Polis, belediye muhafızları ve güvenlik bakanlıkları","Entegre komuta kontrol merkezleri (CIOP)","Cezaevleri ve tutukevleri","Havalimanları, limanlar ve terminaller","Sınırlar ve ulusal kritik altyapı","Kamu kuruluşları ve karmaşık operasyonlu büyük özel şirketler","Büyük özel şirketler: bankalar, lojistik ve diğerleri"]},{title:"2.2 Özel Altyapı",type:"params",params:[{param:"Çalıştığı yer",value:"Müşterinin kendi sunucuları (yerinde)"},{param:"Veri güvenliği",value:"%100 dahili — internete açık bilgi yok"},{param:"GPU",value:"Gerekmez"},{param:"Sunucular",value:"Geleneksel — veritabanı ve eş zamanlı kamera okuma için ayrılmış"},{param:"Ölçek",value:"Büyük ölçekli kurumsal ağlar — onlarca ila binlerce kamera"}]},{title:"2.3 Özel Tespitler",type:"list",items:["Çevre, erişim noktaları ve kritik ortamlarda şüpheli hareketler","Hassas alanlarla bağdaşmayan davranışlar","İzinsiz giriş ve yetkisiz erişim girişimleri","Çatışma ve şiddet durumları","Tutuklama tesislerinde kaçış girişimleri","Silah varlığı","Risk taşıyan yerlerde nesne bırakma","Davranış kalıplarındaki ani değişiklikler","Kritik noktalarda anormal kişi yoğunluğu","Kritik görev ortamlarındaki tehlikeli durumlar — havalimanları, sınırlar, cezaevleri","Zaman Motoru: istemi yürütür ve sistem insan müdahalesi olmadan devam eder"]},{title:"2.4 İşbirliği Ağı Koordinasyonu",type:"list",items:["Tüm kamu ve özel işbirliği ağında yayılan aramalar ve takipler başlatır","İzleme listesiyle eşleşme olduğunda Perceptrum'dan otomatik bildirim alır","Kamu, yol (F.A.S.T.) ve özel (Perceptrum) alanlar arasında entegre operasyonları koordine eder","Tüm entegre ağdan uyarıları, kanıtları ve takip kayıtlarını merkezileştirir"]},{title:"2.5 Ticari Model",type:"params",params:[{param:"Lisanslama",value:"Kurumsal — kamu kuruluşu veya şirketle sözleşme"},{param:"Dağıtım",value:"Müşteri sunucularında yerinde"},{param:"Destek",value:"Dahil işe alım ve yapılandırma"},{param:"Pilot",value:"Mevcut altyapı üzerinde en fazla 7 iş günü içinde uygulanabilir"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"Evden büyük kurumsal şirkete kadar özel ortam için çok modlu zeka",sections:[{title:"2.6 Odak ve Operasyonel Kapsam",desc:"Özel, ticari, konut ve site sektörüne yönelik platform. Gelişmiş izleme zekasına erişimi demokratikleştirir.",type:"list",items:["Konutlar ve evler","Siteler ve konut/ticari binalar","Küçük ve orta ölçekli ticari yerler","Perakende zincirleri ve mağazalar","Bankalar ve finans kuruluşları","Alışveriş merkezleri ve otoparklar","Özel okullar ve üniversiteler","Özel hastaneler ve klinikler","Depolar ve lojistik tesisler","Çiftlikler ve kırsal mülkler"]},{title:"2.7 Özel Altyapı",type:"params",params:[{param:"Çalıştığı yer",value:"Kullanıcının kişisel bilgisayarı (ev veya kurumsal)"},{param:"Minimum işlemci",value:"Intel i5 veya üzeri"},{param:"GPU",value:"Gerekmez"},{param:"Depolama",value:"Analiz sırasında geçici görüntüler için disk alanı"},{param:"DVR/NVR",value:"Önceki kayıtlarda arama için yerel okuma"},{param:"Aktivasyon",value:"Dakikalar — CSV aracılığıyla kamera içe aktarma ve anında başlatma"}]},{title:"2.8 Özel Tespitler",type:"list",items:["Olağandışı saatlerde veya yerlerde kalıp dışı hareketler","Hırsızlıklar, soygunlar ve saldırılar — tipik gasp davranışları","Kısıtlı alanlarda uygunsuz varlık","Çevre riski ve izinsiz giriş girişimleri","Yardım talepleri — yardım jest ve davranışları","Şüpheli nesnelerin terk edilmesi","Süreçlerde operasyonel anormallikler (lojistik, envanter, teslimler)","Otomatik süreç doğrulama: araç, plaka, kurye, hacim sayımı","Ortam türüne göre yapılandırılabilir olaylar — her tesisin profili","Uzaklaştırma kararı ihlalcisinin konumlandırılması (yaklaşma yasağı vb.)"]},{title:"2.9 Gönüllü İşbirliği (Perceptrum'a özel)",type:"list",items:["Gönüllü işbirliği bayrağı — sahip etkinleştirip etkinleştirmeyeceğine ve hangi kameraların katılacağına karar verir","Etkinleştirildiğinde: kamera Perceptrum Corporate veya F.A.S.T.-AI tarafından yayımlanan aramalara katılır","Yerel olarak yürütülen analiz — özel kullanıcının kendi bilgisayarında","Kamuya açık merkeze sürekli iletilen video akışı y

45ok","Dışarıya açık ağ portu yok","Yalnızca sonuç (eşleşme) merkeze gönderilir — görüntüler değil","Uyarı şunları içerir: katmanlı bireyin görüntüsü, tarih/saat, kamera, adres, GPS, güven düzeyi","Sahip tarafından istediği zaman iptal edilebilir katılım","GDPR/LGPD tam uyumu — mimari tasarımla gizlilik koruması"]},{title:"2.10 Ticari Model",type:"params",params:[{param:"Ücretsiz sürüm",value:"Temel izleme işlevleri — ücretsiz, kredi kartı gerekmez"},{param:"Premium sürüm",value:"Tam erişim — erişilebilir aylık lisans"},{param:"Kamu işbirliği",value:"Özel kullanıcı için ücretsiz — kamu kuruluşu sorgu başına ödeme yapar"},{param:"Devlet maliyeti",value:"Arama başına birkaç kuruş — yalnızca arama etkinleştirildiğinde ödenir"},{param:"Dağıtım",value:"Tüm ülkedeki özel kullanıcılara dağıtılabilir"}]}]},{id:"fast-ai",product:"F.A.S.T.-AI",color:"#00AAFF",icon:"🚦",tagline:"Bölgesel zeka, hareketlilik ve kentsel alanın dinamik yorumlaması",sections:[{title:"2.11 Odak ve Operasyonel Kapsam",desc:"Hareketlilik, trafik, kentsel düzenleme ve bölgenin dinamik yorumlamasına yönelik platform.",type:"list",items:["Belediye trafik ve hareketlilik departmanları","Kentsel operasyon merkezleri (COU)","Kamu işleri ve kentsel planlama departmanları","Trafik denetim kurumları","Büyük kamu etkinliği yöneticileri","Otoyol ve otopark işleticileri","Kamu güvenliği güçleri — araç takibi ve yol operasyonları"]},{title:"2.12 Özel Altyapı",type:"params",params:[{param:"Çalıştığı yer",value:"Trafik ve kentsel düzenleme sorumlusu şirketlerin sunucuları"},{param:"GPU",value:"Gerekmez (karmaşık ihlal analizi ve otoyol kaza önleme SBC hariç)"},{param:"Depolama",value:"Düşük — doğrudan mevcut NAS, DVR, NVR veya akıştan okur"},{param:"Uyumlu kaynaklar",value:"Yol, trafik ışığı, sabit ve mobil radar kamu kameraları — herhangi bir standart"},{param:"Ölçek",value:"Tam kentsel yol ağı — mahalleler, koridorlar, şehirler"}]},{title:"2.13 Özel Tespitler",type:"list",items:["Trafik ihlalleri — 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Model",type:"params",params:[{param:"Lisanslama",value:"Belediye/eyalet — hareketlilik veya güvenlik kamu kuruluşuyla sözleşme"},{param:"Dağıtım",value:"Belediye veya işletici sunucuları — mevcut altyapı üzerinde"},{param:"Doğrudan ROI",value:"Otomatik cezalardan elde edilen gelir platform maliyetini aşar"},{param:"Pilot",value:"Mevcut kamu kameraları üzerinde en fazla 7 iş günü içinde uygulanabilir"}]}]}],comparison:{title:"Üç Platformun Karşılaştırmalı Özeti",rows:[{feature:"Ana odak",drakon:"Kamu sektörü ve kritik görev",perceptrum:"Özel ve konut sektörü",fast:"Trafik ve kentsel düzenleme"},{feature:"Çalıştığı yer",drakon:"Müşteri sunucuları (yerinde)",perceptrum:"Kişisel bilgisayar (i5+)",fast:"Belediye/işletici sunucuları"},{feature:"GPU gerekli",drakon:"❌ Hayır",perceptrum:"❌ Hayır",fast:"❌ Hayır (SBC hariç)"},{feature:"Kamera değişimi",drakon:"❌ Gerekmez",perceptrum:"❌ Gerekmez",fast:"❌ Gerekmez"},{feature:"Canlı analiz (24/7)",drakon:"✅ Evet",perceptrum:"✅ Evet",fast:"✅ Evet"},{feature:"Kaydedilmiş sonradan işleme",drakon:"✅ Evet (DVR/NVR/NAS)",perceptrum:"✅ Evet (DVR/NVR/NAS)",fast:"✅ Evet (DVR/NVR/NAS)"},{feature:"Doğal dil JOB'ları",drakon:"✅ Evet",perceptrum:"✅ Evet",fast:"✅ Evet"},{feature:"API/Webhook entegrasyonu",drakon:"✅ Evet",perceptrum:"✅ Evet",fast:"✅ Evet"},{feature:"Çok kameralı takip",drakon:"✅ Evet",perceptrum:"✅ Evet",fast:"✅ Evet"},{feature:"Özel işbirliği ağı",drakon:"✅ Aramaları koordine eder",perceptrum:"✅ Katılır (gönüllü)",fast:"✅ Yol aramalarını koordine eder"},{feature:"Ücretsiz sürüm mevcut",drakon:"❌ Hayır",perceptrum:"✅ Evet (temel)",fast:"❌ Hayır"},{feature:"PoC mevcut",drakon:"✅ Evet",perceptrum:"❌ Hayır",fast:"✅ Evet"},{feature:"Otomatik cezalar",drakon:"❌ Odak değil",perceptrum:"❌ Odak değil",fast:"✅ Evet — otomatik oluşturma"},{feature:"Bölgesel zeka",drakon:"Kurumsal operasyonel",perceptrum:"Özel operasyonel",fast:"✅ Bölgesel ve kentsel"},{feature:"GDPR/LGPD uyumu",drakon:"✅ Evet",perceptrum:"✅ Evet (tasarım gereği)",fast:"✅ Evet"},{feature:"Pilot aktivasyon süresi",drakon:"En fazla 7 iş günü",perceptrum:"Dakikalar",fast:"En fazla 7 iş günü"}]}},hi:{hero:{badge:"तकनीकी विशेषताएँ",title:"तकनीकी विशेषताएँ",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"मूल्यांकन, खरीद और एकीकरण प्रक्रियाओं के लिए संरचित तकनीकी दस्तावेज़। AiQuimist के तीनों प्लेटफ़ॉर्म की सभी विशेषताएँ — साझा कार्यक्षमताएँ और विशेष भेदकारक।",part1:"भाग 1 — मूल विशेषताएँ",part1sub:"तीनों प्लेटफ़ॉर्म में उपस्थित कार्यक्षमताएँ",part2:"भाग 2 — विशेष विशेषताएँ",part2sub:"प्रत्à

45¤¯à¥‡à¤• उत्पाद के विशिष्ट भेदकारक",part3:"तुलनात्मक सारांश"},copy:"तालिका कॉपी करें",copied:"कॉपी हो गया!",yes:"✅ हाँ",no:"❌ नहीं",feature:"विशेषता",capacity:"क्षमता",detail:"विवरण",param:"पैरामीटर",value:"मान",sections:[{id:"s1",title:"1.1 AI इंजन — सार्वभौमिक मल्टीमोडल व्याख्या",desc:"AiQuimist प्लेटफ़ॉर्म वीडियो, ऑडियो, टेक्स्ट और छवि का एक साथ विश्लेषण करता है ताकि वास्तविक संदर्भ निकाला जा सके और प्रासंगिक स्थितियों की पहचान की जा सके।",type:"capabilities",items:[{label:"🎥 वीडियो",detail:"लाइव कैमरों और रिकॉर्डिंग का वास्तविक समय विश्लेषण। दृश्यों, वस्तुओं, व्यवहारों, गतिविधियों और पैटर्न को पहचानता है।"},{label:"🔊 ऑडियो",detail:"भाषण, कीवर्ड, अर्थपूर्ण पैटर्न, आवाज़ का स्वर, तात्कालिकता, संघर्ष और कॉन्फ़िगर करने योग्य रुचि की ध्वनियाँ पहचानता है।"},{label:"📄 टेक्स्ट और छवि",detail:"फ़ाइल अपलोड और विश्लेषण (वीडियो, छवि, ऑडियो, टेक्स्ट)। स्रोतों के बीच साक्ष्य, मेटाडेटा और सहसंबंध निष्कर्षण।"},{label:"मूल अस्थायी प्रसंस्करण",detail:"केवल अलग फ्रेम नहीं, गति की प्रवाहमयता का विश्लेषण करता है"},{label:"बड़ी संदर्भ विंडो",detail:"घटना सहसंबंध के लिए लंबी वीडियो/ऑडियो अवधि की स्मृति बनाए रखता है"},{label:"वास्तविक समय विश्लेषण (लाइव)",detail

45:"24×7 कैमरा स्ट्रीम और ऑडियो चैनल"},{label:"पश्च-प्रसंस्करण",detail:"NVR, DVR, NAS की फ़ाइलों और रिकॉर्डिंग पर समान पहचान मानदंड लागू"},{label:"डिजिटल फ़ाइल अपलोड",detail:"सहसंबद्ध मल्टीमोडल विश्लेषण के लिए वीडियो, छवि, ऑडियो और टेक्स्ट"},{label:"भावनात्मक अवस्था पहचान",detail:"शारीरिक भाषा, आवाज़ का स्वर और व्यवहार संकेत पढ़ना"},{label:"AI प्रदाता अमूर्तन",detail:"कॉन्फ़िगर करने योग्य एंडपॉइंट, क्रेडेंशियल और सीमाएँ; न्यूनतम प्रभाव के साथ प्रदाता परिवर्तन"}]},{id:"s2",title:"1.2 कैमरा और स्रोत अंतर्ग्रहण",type:"mixed",items:[{label:"सार्वभौमिक संगतता",detail:"ब्रांड, निर्माता, मॉडल या पीढ़ी की परवाह किए बिना कोई भी कैमरा"},{label:"एनालॉग और डिजिटल",detail:"हार्डवेयर प्रतिस्थापन की कोई आवश्यकता नहीं"},{label:"मुख्य प्रोटोकॉल",detail:"RTSP, ONVIF और समकक्ष HTTP/फ़ाइल विधियाँ"},{label:"DVR / NVR / NAS",detail:"ग्राहक में पहले से स्थापित उपकरण पढ़ना"},{label:"बल्क आयात",detail:"कैमरा मेटाडेटा के साथ Excel या CSV (IP, निर्माता, उपयोगकर्ता, पासवर्ड, पोर्ट आदि)"},{label:"स्वायत्त संचालन",detail:"आंतरिक नेटवर्क के माध्यम से पूरी तरह स्थानीय — इंटरनेट पर स्ट्रीम का कोई एक्सपोज़र नहीं"},{label:"नेटवर्क सुरक्षा",detail:"दूरस्थ पहुँच के लिए कोई पोर्ट नहीं खुलता, कोई टनल/NAT कॉन्फ़िगर नहीं होता"},{label:"स्केलेबिलिटी",detail:"समानांतर में 1 से N कैमरे/ऑडियो चैनल"},{label:"स्ट्रीम उपलब्धता",detail:"विफलताओं के बाद निगरानी और स्वचालित पुनर्प्राप्ति"}]},{id:"s3",title:"1.3 कार्य समन्वय — JOB / STEP",desc:"निगरानी दिनचर्या में मानव ऑपरेटरों की जगह लेने वाली बुद्धिमान स्वचालन प्रणाली। प्राकृतिक भाषा प्रॉम्प्ट के माध्यम से बनाई गई — कोई कोडिंग या प्रोग्रामिंग नहीं।",type:"capabilities",items:[{label:"JOB (कार्य)",detail:"1 या N कैमरे/चैनल पढ़ने वाली और परिभाषित शर्तों के अनुसार संचालित होने वाली निगरानी इकाई"},{label:"STEP (चरण)",detail:"प्रत्येक JOB कई जुड़े चरणों से बना होता है; एक कैमरे का परिणाम (आउटपुट) अगले को फीड करता है (इनपुट)"},{label:"प्रति चरण एकाधिक स्रोत",detail

45:"प्रत्येक STEP 1 या अधिक कैमरे और/या 1 या अधिक ऑडियो चैनल सक्रिय कर सकता है"},{label:"बुद्धिमान चेनिंग",detail:"चरणों के बीच संज्ञानात्मक निर्भरता; प्रवाह पिछले परिणाम के अनुसार बदलता है"},{label:"मूल सशर्त निर्णय",detail:"वास्तविक परिणाम पर आधारित शाखाएँ, रुकावट, दोहराव या एस्केलेशन"},{label:"प्रति चैनल प्रॉम्प्ट",detail:"प्रत्येक कैमरा या ऑडियो चैनल एक ही JOB के भीतर एक विशिष्ट प्रॉम्प्ट प्राप्त करता है"},{label:"शेड्यूलिंग",detail:"परिभाषित या निरंतर अवधि के साथ निर्धारित तारीखों और समय पर निष्पादन"},{label:"तत्काल सक्रियण/निष्क्रियण",detail:"पुनः कॉन्फ़िगरेशन की कोई आवश्यकता नहीं"},{label:"कार्य संस्करण नियंत्रण",detail:"कॉन्फ़िगरेशन और प्रॉम्प्ट इतिहास"},{label:"गैर-तकनीकी उपयोगकर्ता निर्माण",detail:"बिना तकनीकी ज्ञान वाले ऑपरेटर बुद्धिमान एजेंट इंटरफेस के माध्यम से पूर्ण JOB बनाते हैं"}],params:[{param:"JOB निर्माण",value:"प्राकृतिक भाषा (टेक्स्ट या आवाज़) — कोई कोड नहीं"},{param:"चेनिंग",value:"STEP N, STEP N-1 के संज्ञानात्मक परिणाम का उपयोग करता है"},{param:"STEP प्रति स्रोत",value:"1 या अधिक कैमरे + 1 या अधिक ऑडियो चैनल"},{param:"शेड्यूलिंग",value:"तारीख, समय, अवधि और पुनरावृत्ति कॉन्फ़िगर करने योग्य"}]},{id:"s4",title:"1.4 पहचान और वर्गीकरण क्षमताएँ",type:"grouped",groups:[{label:"वीडियो-आधारित पहचान (कंप्यूटर विज़न / मल्टीमोडल)",items:["कॉन्फ़िगर किए गए प्रॉम्प्ट के अनुसार प्रासंगिक स्थितियों और कार्यों की पहचान","रुचि के व्यक्तियों की पहचान — स्वचालित घटना संबद्धता के साथ वॉचलिस्ट","सशर्त ट्रिगर के साथ लोगों की गिनती (X से अधिक / कम / बिल्कुल X)","समय के साथ 1 या अधिक व्यक्तियों/वाहनों की ट्रैकिंग","पुनः पहचान के साथ मल्टी-कैमरा ट्रैकिंग — कैमरा A → N → B के बीच गति ट्रैक करता है","मार्ग विचलन और अपेक्षित प्रक्षेपवक्र उल्लंघन का पता लगाना","नंबर प्लेट, साइन और कैमरे में दिखाई देने वाली टेक्स्ट सामग्री पढ़ना","कॉन्फ़िगर करने योग्य हस्त संकेतों और सांकेतिक भाषा संकेतों की पहचान (जब प्रॉम्प्ट में परिभाषित)","भावनात्मक अवस्था और पूर्व-संघर्ष शारीरिक भाषा का पता लगाना"]}

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45,{label:"परिचालन रिपोर्ट",detail:"पूर्ण ऑडिट ट्रेल"}]},{id:"s6",title:"1.6 प्राकृतिक भाषा संचालन",desc:"कोई भी ऑपरेटर — बिना तकनीकी प्रशिक्षण के — टेक्स्ट या आवाज़ का उपयोग करके पूर्ण JOB बना, कॉन्फ़िगर और संचालित कर सकता है। कोई प्रोग्रामिंग, स्क्रिप्ट या बाहरी उपकरण नहीं।",type:"capabilities",items:[{label:"प्राकृतिक भाषा प्रश्न",detail:"संदर्भीकृत उत्तरों के साथ प्रश्न"},{label:"टेक्स्ट और आवाज़ कमांड",detail:"कार्य बनाना, संपादित करना और सक्रिय करना"},{label:"प्रॉम्प्ट द्वारा पूर्ण कॉन्फ़िगरेशन",detail:"निगरानी, अलर्ट, ट्रिगर और प्राप्तकर्ता"},{label:"गवर्नेंस नियंत्रण",detail:"महत्वपूर्ण कार्यों के लिए पुष्टि, प्रोफ़ाइल द्वारा प्रतिबंध"},{label:"ऑडिट ट्रेल",detail:"सभी कमांड और परिवर्तनों का रिकॉर्ड"}]},{id:"s7",title:"1.7 बाहरी एकीकरण — API और Webhook",type:"capabilities",items:[{label:"स्वचालित वेबहुक ट्रिगरिंग",detail:"परिभाषित शर्तों पर आधारित बाहरी API कॉल"},{label:"गैर-तकनीकी ऑपरेटर कॉन्फ़िगरेशन",detail:"प्राकृतिक भाषा प्रॉम्प्ट के माध्यम से"},{label:"संरचित पेलोड",detail:"JSON में मेटाडेटा और साक्ष्य"},{label:"बाहरी कॉल में प्रमाणीकरण",detail:"टोकन, कुंजी, हस्ताक्षर और अनुमति सूचियाँ"},{label:"अनुरोध ऑडिट",detail:"सभी बाहरी कॉल का पूर्ण लॉग"},{label:"विफलता प्रबंधन",detail:"पुनः प्रयास, कतार और लॉग"},{label:"इंटरऑपरेबिलिटी",detail:"डैशबोर्ड, मैसेजिंग, रिकॉर्ड और प्रबंधन सिस्टम"}],params:[{param:"प्रोटोकॉल",value:"REST API + Webhooks"},{param:"पेलोड",value:"मेटाडेटा, साक्ष्य और संदर्भ के साथ संरचित JSON"},{param:"प्रमाणीकरण",value:"टोकन, कुंजी, हस्ताक्षर और अनुमति सूचियाँ"},{param:"ऑडिट",value:"सभी बाहरी कॉल का पूर्ण लॉग"}]},{id:"s8",title:"1.8 उपभोग मेट्रिक्स और लागत प्रबंधन",type:"capabilities",items:[{label:"JOB/STEP प्रति मेट्रिक्स",detail:"विस्तृत रिकॉर्डिंग और उपलब्धता"},{label:"कैमरा/ऑडियो चैनल प्रति मेट्रिक्स",detail:"स्रोत द्वारा व्यक्तिगत उपभोग"},{label:"उपयोगकर्ता/प्रोफ़ाइल प्रति मेट्रिक्स",detail:"ऑपरेटर द्वारा उपयोग ट्रैकिंग"},{label:"टोकन और अनुरोध गिनती",detail:"विलंबता के साथ अनुमानित और वास्तविक मान"}

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45,{feature:"प्राकृतिक भाषा JOB",drakon:"✅ हाँ",perceptrum:"✅ हाँ",fast:"✅ हाँ"},{feature:"API/Webhook एकीकरण",drakon:"✅ हाँ",perceptrum:"✅ हाँ",fast:"✅ हाँ"},{feature:"मल्टी-कैमरा ट्रैकिंग",drakon:"✅ हाँ",perceptrum:"✅ हाँ",fast:"✅ हाँ"},{feature:"निजी सहयोग नेटवर्क",drakon:"✅ खोज समन्वित करता है",perceptrum:"✅ भाग लेता है (स्वैच्छिक)",fast:"✅ सड़क खोज समन्वित करता है"},{feature:"मुफ़्त संस्करण उपलब्ध",drakon:"❌ नहीं",perceptrum:"✅ हाँ (बुनियादी)",fast:"❌ नहीं"},{feature:"PoC उपलब्ध",drakon:"✅ हाँ",perceptrum:"❌ नहीं",fast:"✅ हाँ"},{feature:"स्वचालित जुर्माने",drakon:"❌ फ़ोकस नहीं",perceptrum:"❌ फ़ोकस नहीं",fast:"✅ हाँ — स्वचालित उत्पादन"},{feature:"क्षेत्रीय बुद्धिमत्ता",drakon:"संस्थागत परिचालन",perceptrum:"निजी परिचालन",fast:"✅ क्षेत्रीय और शहरी"},{feature:"GDPR/LGPD अनुपालन",drakon:"✅ हाँ",perceptrum:"✅ हाँ (डिज़ाइन द्वारा)",fast:"✅ हाँ"},{feature:"पायलट सक्रियण समय",drakon:"अधिकतम 7 कार्यदिवस",perceptrum:"मिनट",fast:"अधिकतम 7 कार्यदिवस"}]}},id:{hero:{badge:"Spesifikasi Teknis",title:"Spesifikasi Teknis",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"Dokumen teknis terstruktur untuk proses evaluasi, pengadaan, dan integrasi. Semua spesifikasi ketiga platform AiQuimist — fungsi bersama dan pembeda eksklusif.",part1:"BAGIAN 1 — Spesifikasi Inti",part1sub:"Fungsi yang ada di ketiga platform",part2:"BAGIAN 2 — Spesifikasi Eksklusif",part2sub:"Pembeda spesifik setiap produk",part3:"Ringkasan Perbandingan"},copy:"Salin tabel",copied:"Disalin!",yes:"✅ Ya",no:"❌ Tidak",feature:"Fitur",capacity:"Kapasitas",detail:"Detail",param:"Parameter",value:"Nilai",sections:[{id:"s1",title:"1.1 Mesin AI — Interpretasi Multimodal Universal",desc:"Platform AiQuimist menganalisis video, audio, teks, dan gambar secara bersamaan untuk mengekstrak konteks nyata dan mengidentifikasi situasi yang relevan.",type:"capabilities",items:[{label:"🎥 Video",detail:"Analisis real-time kamera langsung dan rekaman. Mengenali adegan, objek, perilaku, gerakan, dan pola."},{label:"🔊 Audio",detail:"Deteksi ucapan, kata kunci, pola semantik, nada suara, urgensi, konflik, dan suara menarik yang dapat dikonfigurasi."},{label:"📄 Teks dan Gambar",detail:"Unggah dan analisis file (video, gambar, audio, teks). Ekstraksi bukti, metadata, dan korelasi antar sumber."},{label:"Pemrosesan temporal native",detail:"Menganalisis kelancaran gerakan, bukan hanya frame terisolasi"},{label:"Jendela konteks besar",detail:"Mempertahankan memori periode video/audio yang panjang untuk korelasi peristiwa"},{label:"Analisis real-time (langsung)",detail:"Stream kamera dan saluran audio 24×7"},{label:"Pasca-pemrosesan",detail:"Kriteria deteksi yang sama diterapkan pada file dan rekaman: NVR, DVR, NAS"},{label:"Unggah file digital",detail:"Video, gambar, audio, dan teks untuk analisis multimodal yang berkorelasi"},{label:"Identifikasi keadaan emosional",detail:"Membaca bahasa tubuh, nada suara, dan sinyal perilaku"},{label:"Abstraksi penyedia AI",detail:"Endpoint, kredensial, dan batas yang dapat dikonfigurasi; pergantian penyedia dengan dampak minimal"}]},{id:"s2",title:"1.2 Penyerapan Kamera dan Sumber",type:"mixed",items:[{label:"Kompatibilitas universal",detail:"Kamera apa pun, terlepas dari merek, pabrikan, model, atau generasi"},{label:"Analog dan digital",detail:"Tidak perlu penggantian perangkat keras"}

45,{label:"Protokol utama",detail:"RTSP, ONVIF, dan metode HTTP/file yang setara"},{label:"DVR / NVR / NAS",detail:"Membaca peralatan yang sudah terpasang di pelanggan"},{label:"Impor massal",detail:"Excel atau CSV dengan metadata kamera (IP, pabrikan, pengguna, kata sandi, port, dll.)"},{label:"Operasi otonom",detail:"Sepenuhnya lokal melalui jaringan internal — tidak ada paparan stream ke internet"},{label:"Keamanan jaringan",detail:"Tidak ada port yang dibuka untuk akses jarak jauh, tidak ada konfigurasi tunnel/NAT"},{label:"Skalabilitas",detail:"1 hingga N kamera/saluran audio secara paralel"},{label:"Ketersediaan stream",detail:"Pemantauan dan pemulihan otomatis setelah kegagalan"}]},{id:"s3",title:"1.3 Orkestrasi Tugas — JOB / STEP",desc:"Sistem otomasi cerdas yang menggantikan operator manusia dalam rutinitas pengawasan. Dibuat melalui prompt bahasa alami — tanpa pengkodean atau pemrograman.",type:"capabilities",items:[{label:"JOB (tugas)",detail:"Unit pemantauan yang membaca 1 atau N kamera/saluran dan beroperasi sesuai kondisi yang ditentukan"}

45,{label:"STEP (tahap)",detail:"Setiap JOB terdiri dari beberapa tahap yang dirantai; hasil satu kamera (output) memberi makan berikutnya (input)"},{label:"Beberapa sumber per tahap",detail:"Setiap STEP dapat mengaktifkan 1 atau lebih kamera dan/atau 1 atau lebih saluran audio"},{label:"Perantaian cerdas",detail:"Ketergantungan kognitif antar tahap; alur berubah berdasarkan hasil sebelumnya"},{label:"Keputusan kondisional native",detail:"Percabangan, interupsi, pengulangan, atau eskalasi berdasarkan hasil aktual"},{label:"Prompt per saluran",detail:"Setiap kamera atau saluran audio menerima prompt spesifik dalam JOB yang sama"},{label:"Penjadwalan",detail:"Eksekusi pada tanggal dan waktu yang dijadwalkan dengan durasi yang ditentukan atau berkelanjutan"},{label:"Aktivasi/nonaktifasi instan",detail:"Tidak perlu konfigurasi ulang"},{label:"Pengelolaan versi tugas",detail:"Riwayat konfigurasi dan prompt"},{label:"Pembuatan oleh pengguna non-teknis",detail:"Operator tanpa pengetahuan teknis membuat JOB lengkap melalui antarmuka agen cerdas"}],params:[{param:"Pembuatan JOB",value:"Bahasa alami (teks atau suara) — tanpa kode"},{param:"Perantaian",value:"STEP N menggunakan hasil kognitif STEP N-1"},{param:"Sumber per STEP",value:"1 atau lebih kamera + 1 atau lebih saluran audio"},{param:"Penjadwalan",value:"Tanggal, waktu, durasi, dan pengulangan dapat dikonfigurasi"}]},{id:"s4",title:"1.4 Kemampuan Deteksi dan Klasifikasi",type:"grouped",groups:[{label:"Deteksi berbasis video (computer vision / multimodal)",items:["Identifikasi situasi dan t

45indakan yang relevan sesuai prompt yang dikonfigurasi","Pengenalan orang yang diminati — watchlist dengan asosiasi peristiwa otomatis","Penghitungan orang dengan pemicu kondisional (lebih dari X / kurang dari X / tepat X)","Pelacakan 1 atau beberapa individu/kendaraan dari waktu ke waktu","Pelacakan multi-kamera dengan reidentifikasi — mengikuti pergerakan antar kamera A → N → B","Deteksi penyimpangan rute dan pelanggaran lintasan yang diharapkan","Pembacaan pelat nomor, rambu, dan konten teks yang terlihat di kamera","Identifikasi gerakan tangan yang dapat dikonfigurasi dan gerakan bahasa isyarat (ketika didefinisikan dalam prompt)","Deteksi keadaan emosional dan bahasa tubuh pra-konflik"]},{label:"Deteksi berbasis audio (ucapan / suara / multimodal)",items:["Analisis audio real-time dan terekam dengan transkripsi (STT) jika berlaku","Diarisasi — pemisahan dan identifikasi pembicara dengan ringkasan per pembicara dan ringkasan keseluruhan percakapan","Deteksi kata kunci yang diucapkan sesuai parametrisasi","Deteksi frasa dan pola semantik yang dapat dikonfigurasi","Deteksi pola ucapan yang menunjukkan kejadian — urgensi, konflik, pengulangan","Penyorotan segmen relevan untuk audit"]},{label:"Sistem peringatan",items:["Peringatan kondisi terpenuhi — mis.: 'kelompok X individu terdeteksi di titik A'","Peringatan kondisi tidak terpenuhi — mis.: 'individu tidak melewati kamera Y dalam waktu T'","Peringatan dengan logika urutan tahap — alur kerja multi-titik yang dapat dikonfigurasi","Pemicu, jendela waktu, dan kriteria korelasi yang dapat dikonfigurasi","Tingkat keparahan, penerima, dan saluran notifikasi yang dapat dikonfigurasi","Bukti terlampir pada peringatan — frame, klip video, segmen audio","Catatan siklus hidup peringatan — dihasilkan, dikirim, diterima, dan ditutup"]}]},{id:"s5",title:"1.5 Kontekstualisasi dan Pembuatan Bukti",type:"capabilities",items:[{label:"Deskripsi konteks otomatis",detail:"Dihasilkan dalam bahasa alami untuk setiap peristiwa yang terdeteksi"},{label:"Metadata terstruktur",detail:"Sumber, tanggal/waktu, lokasi logis, jenis peristiwa, keparahan"},{label:"Korelasi otomatis",detail:"Individu yang sama, area yang sama, interval yang sama — di beberapa sumber"},{label:"Ekstraksi bukti",detail:"Frame, klip video, segmen audio, teks yang dikenali"},{label:"Keterlacakan inferensi",detail:"Log dan audit semua deteksi"},{label:"Laporan operasional",detail:"Jejak audit lengkap"}]},{id:"s6",title:"1.6 Operasi Bahasa Alami",desc:"Operator mana pun — tanpa pelatihan teknis — dapat membuat, mengonfigurasi, dan mengoperasikan JOB lengkap menggunakan teks atau suara. Tanpa pemrograman, skrip, atau alat eksternal.",type:"capabilities",items:[{label:"Kueri bahasa alami",detail:"Pertanyaan dengan jawaban yang dikontekstualisasikan"},{label:"Perintah teks dan suara",detail:"Pembuatan, pengeditan, dan aktivasi tugas"},{label:"Konfigurasi lengkap melalui prompt",detail:"Pemantauan, peringatan, pemicu, dan penerima"},{label:"Kontrol tata kelola",detail:"Konfirmasi untuk tindakan kritis, pembatasan berdasarkan profil"},{label:"Jejak audit",detail:"Catatan semua perintah dan perubahan"}]},{id:"s7",title:"1.7 Integrasi Eksternal — API dan Webhook",type:"capabilities",items:[{label:"Pemicu webhook otomatis",detail:"Panggilan API eksternal berdasarkan kondisi yang ditentukan"},{label:"Konfigurasi operator non-teknis",detail:"Melalui prompt bahasa alami"},{label:"Payload terstruktur",detail:"Metadata dan bukti dalam JSON"},{label:"Autentikasi panggilan eksternal",detail:"Token, kunci, tanda tangan, dan daftar izin"},{label:"Audit permintaan",detail:"Log lengkap semua panggilan eksternal"},{label:"Penanganan kegagalan",detail:"Percobaan ulang, antrian, dan log"},{label:"Interoperabilitas",detail:"Dasbor, pesan, catatan, dan sistem manajemen"}],params:[{param:"Protokol",value:"REST API + Webhook"},{param:"Payload",value:"JSON terstruktur dengan metadata, bukti, dan konteks"},{param:"Autentikasi",value:"Token, kunci, tanda tangan, dan daftar izin"},{param:"Audit",value:"Log lengkap semua panggilan eksternal"}]},{id:"s8",title:"1.8 Metrik Konsumsi dan Manajemen Biaya",type:"capabilities",items:[{label:"Metrik per JOB/STEP",detail:"Pencatatan dan ketersediaan terperinci"}

45,{label:"Metrik per kamera/saluran audio",detail:"Konsumsi individual per sumber"},{label:"Metrik per pengguna/profil",detail:"Pelacakan penggunaan per operator"},{label:"Penghitungan token dan permintaan",detail:"Estimasi dan nilai aktual dengan latensi"},{label:"Biaya per dimensi",detail:"JOB, kamera, dan pengguna"},{label:"Kuota dan pusat biaya",detail:"Dukungan untuk kuota dan pemisahan per departemen"}]},{id:"s9",title:"1.9 Persyaratan Perangkat Keras",type:"params",params:[{param:"GPU",value:"Tidak diperlukan — tidak ada dari ketiga platform"},{param:"GPU (F.A.S.T.-AI)",value:"Digunakan untuk beberapa pelanggaran kompleks dan solusi SBC pencegahan kecelakaan jalan tol"},{param:"Perangkat keras kepemilikan",value:"Tidak diperlukan — terintegrasi dengan infrastruktur yang ada"},{param:"Kamera",value:"Tidak ada penggantian — kompatibel dengan peralatan yang dipasang apa pun"},{param:"OS yang didukung",value:"Windows (kompatibilitas native)"},{param:"Penerapan",value:"On-premises, cloud publik/privat (wilayah nasional), atau hibrida"},{param:"Aktivasi",value:"Hari, bukan bulan — pilot dapat diimplementasikan dalam maksimal 7 hari kerja"}]},{id:"s10",title:"1.10 Keamanan Informasi, Tata Kelola, dan Perlindungan Data",type:"capabilities",items:[{label:"Kontrol akses RBAC",detail:"Pemisahan tugas dan hak akses minimum"},{label:"Jejak audit lengkap",detail:"Log operasi, perintah, perubahan konfigurasi, dan prompt"},{label:"Perlindungan data",detail:"Dalam transit dan saat disimpan"},{label:"Kebijakan retensi dan penghapusan",detail:"Pseudonimisasi/anonimisasi jika berlaku"},{label:"Manajemen profil akses",detail:"Pembatasan operasional berdasarkan tingkat"},{label:"Kepatuhan GDPR/LGPD",detail:"Minimisasi, tujuan, kebutuhan, dan akuntabilitas"},{label:"Penyimpanan kredensial",detail:"Windows Credential Manager/DPAPI atau setara — teks biasa dilarang"}]},{id:"s11",title:"1.11 Ketersediaan dan Kelangsungan Operasional",type:"capabilities",items:[{label:"Operasi 24×7",detail:"Pemantauan berkelanjutan tanpa gangguan"},{label:"Pemulihan otomatis",detail:"Dilanjutkan setelah kegagalan stream tanpa intervensi"},{label:"Ketahanan terhadap gangguan konektivitas",detail:"Pemrosesan ulang konten yang direkam"},{label:"Antrian dan pemrosesan ulang",detail:"Jaminan cakupan tanpa celah"},{label:"Ketersediaan tinggi",detail:"Redundansi, replikasi, dan penyeimbangan beban saat dikonfigurasi"}]},{id:"s12",title:"1.12 Integrasi dengan Jaringan Kerja Sama Privat",desc:"Kemampuan eksklusif ekosistem AiQuimist: kamera privat pengguna sukarela berpartisipasi otomatis dalam pencarian publik — tanpa mengirimkan video, tanpa membuka port jaringan.",type:"capabilities",items:[{label:"Distribusi gratis",detail:"Solusi Windows yang dapat didistribusikan kepada pengguna privat di seluruh negara"},{label:"Mekanisme pemasangan",detail:"Kode aktivasi, tautan perangkat, dan pencabutan"},{label:"Hanya endpoint yang diotorisasi",detail:"Hanya endpoint yang diotorisasi yang dapat mengonsumsi atau menerbitkan data/peristiwa"},{label:"Deteksi dan notifikasi lokal",detail:"Analisis terjadi di komputer pengguna privat"},{label:"Notifikasi kecocokan",detail:"Otomatis ke platform pusat saat ada kecocokan dengan watchlist"},{label:"Peringatan terstruktur",detail:"Gambar individu dengan overlay, tanggal/waktu, kamera, alamat lengkap, GPS, tingkat kepercayaan, pengidentifikasi"},{label:"Algoritma Re-ID",detail:"Reidentifikasi dan, jika berlaku dan diotorisasi, pengenalan wajah"},{label:"Partisipasi sukarela",detail:"Pengguna memutuskan apakah akan mengaktifkan kerja sama dan kamera mana yang berpartisipasi"},{label:"Privasi berdasarkan desain",detail:"Tidak ada port terbuka, tidak ada stream yang dikirimkan terus-menerus"},{label:"Kepatuhan GDPR/LGPD penuh",detail:"Analisis lokal, berbagi hanya hasil yang relevan"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"Kecerdasan institusional untuk operasi publik dan lingkungan misi kritis",sections:[{title:"2.1 Fokus dan Cakupan Operasional",desc:"Platform yang ditujukan untuk sektor publik, institusional, dan korporat berkritikalitas tinggi. Beroperasi pada jaringan kamera skala besar.",type:"list",items:["Kotamadya, pemerintah negara bagian dan federal","Polisi, pengawal kota, dan kementerian keamanan","Pusat komando dan kendali terpadu (CIOP)","Penjara dan fasilitas penahanan","Bandara, pelabuhan, dan terminal","Perbatasan dan infrastruktur kritis nasional","Perusahaan publik dan perusahaan swasta besar dengan operasi kompleks","Perusahaan swasta besar: bank, logistik, dan lainnya"]},{title:"2.2 Infrastruktur Eksklusif",type:"params",params:[{param:"Berjalan di mana",value:"Server milik pelanggan (on-premise)"},{param:"Keamanan data",value:"100% internal — tidak ada informasi yang terekspos ke internet"},{param:"GPU",value:"Tidak diperlukan"},{param:"Server",value:"Konvensional — didedikasikan untuk basis data dan pembacaan kamera secara bersamaan"},{param:"Skala",value:"Jaringan institusional skala besar — puluhan hingga ribuan kamera"}]},{title:"2.3 Deteksi Spesifik",type:"list",items:["Gerakan mencurigakan di perimeter, akses, dan lingkungan kritis","Perilaku yang tidak sesuai dengan area sensitif","Penyusupan dan upaya akses tidak sah","Konflik dan situasi kekerasan","Upaya melarikan diri di fasilitas penahanan","Keberadaan senjata","Peninggalan benda di tempat berisiko","Perubahan mendadak dalam pola perilaku","Konsentrasi orang yang tidak normal di titik kritis","Situasi berbahaya di lingkungan misi kritis — bandara, perbatasan, pe

45njara","Mesin Temporal: menjalankan prompt dan sistem terus berjalan tanpa intervensi manusia"]},{title:"2.4 Koordinasi Jaringan Kerja Sama",type:"list",items:["Memicu pencarian dan penelusuran yang menyebar ke seluruh jaringan kerja sama publik dan privat","Menerima notifikasi otomatis dari Perceptrum saat ada kecocokan dengan watchlist","Mengkoordinasikan operasi terpadu antara ruang publik, jalan (F.A.S.T.), dan privat (Perceptrum)","Memusatkan peringatan, bukti, dan catatan penelusuran dari seluruh jaringan terintegrasi"]},{title:"2.5 Model Komersial",type:"params",params:[{param:"Lisensi",value:"Institusional — kontrak dengan lembaga publik atau korporasi"},{param:"Penerapan",value:"On-premise di server pelanggan"},{param:"Dukungan",value:"Orientasi dan konfigurasi termasuk"},{param:"Pilot",value:"Dapat diimplementasikan dalam maksimal 7 hari kerja di infrastruktur yang ada"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"Kecerdasan multimodal untuk lingkungan privat — dari rumah ke korporasi besar",sections:[{title:"2.6 Fokus dan Cakupan Operasional",desc:"Platform yang ditujukan untuk sektor privat, komersial, residensial, dan kondominium. Mendemokratisasi akses ke kecerdasan pemantauan tingkat lanjut.",type:"list",items:["Tempat tinggal dan rumah","Kondominium dan gedung residensial/komersial","Tempat komersial kecil dan menengah","Jaringan ritel dan toko","Bank dan lembaga keuangan","Pusat perbelanjaan dan tempat parkir","Sekolah dan universitas swasta","Rumah sakit dan klinik swasta","Gudang dan fasilitas logistik","Pertanian dan properti pedesaan"]},{title:"2.7 Infrastruktur Eksklusif",type:"params",params:[{param:"Berjalan di mana",value:"Komputer pribadi pengguna (rumahan atau korporat)"},{param:"Prosesor minimum",value:"Intel i5 atau lebih tinggi"},{param:"GPU",value:"Tidak diperlukan"},{param:"Penyimpanan",value:"Ruang disk untuk gambar sementara saat analisis"},{param:"DVR/NVR",value:"Pembacaan native untuk pencarian rekaman sebelumnya"},{param:"Aktivasi",value:"Menit — impor kamera melalui CSV dan mulai langsung"}]},{title:"2.8 Deteksi Spesifik",type:"list",items:["Gerakan di luar pola pada jam atau tempat yang tidak biasa","Pencurian, perampokan, dan penyerangan — perilaku perampasan yang khas","Keberadaan yang tidak tepat di area terbatas","Risiko perimeter dan upaya penyusupan","Permintaan bantuan — gerakan dan perilaku pertolongan","Peninggalan benda mencurigakan","Anomali operasional dalam proses (logistik, inventaris, pengiriman)","Verifikasi proses otomatis: kendaraan, pelat nomor, kurir, penghitungan volume","Peristiwa yang dapat dikonfigurasi berdasarkan jenis lingkungan — profil setiap instalasi","Menemukan pelanggar perintah perlindungan (larangan mendekati, dll.)"]},{title:"2.9 Kerja Sama Sukarela (eksklusif Perceptrum)",type:"list",items:["Bendera kerja sama sukarela — pemilik memutuskan apakah akan mengaktifkan dan kamera mana yang berpartisipasi","Saat diaktifkan: kamera berpartisipasi dalam pencarian yang diterbitkan oleh Perceptrum Corporate atau F.A.S.T.-AI","Analisis dijalankan secara lokal — di komputer pengguna privat sendiri","Tidak ada stream video yang dikirimkan terus-menerus ke pusat publik","Tidak ada port jaringan yang terbuka ke luar","Hanya hasil (kecocokan) yang dikirim ke pusat — bukan gambar","Peringatan mencakup: gambar individu dengan overlay, tanggal/waktu, kamera, alamat, GPS, tingkat kepercayaan","Partisipasi yang dapat dicabut kapan saja oleh pemilik","Kepatuhan GDPR/LGPD penuh — perlindungan privasi berdasarkan desain arsitektur"]},{title:"2.10 Model Komersial",type:"params",params:[{param:"Versi gratis",value:"Fungsi pemantauan dasar — gratis, tanpa kartu kredit"},{param:"Versi premium",value:"Akses penuh — lisensi bulanan yang terjangkau"},{param:"Kerja sama publik",value:"Gratis untuk pengguna privat — lembaga publik membayar per kueri"},{param:"Biaya negara",value:"Sen per pencarian — dibayar hanya saat pencarian diaktifkan"},{param:"Distribusi",value:"Dapat didistribusikan kepada pengguna privat di seluruh negara"}]}]},{id:"fast-ai",product:"F.A.S.T.-AI",color:"#00AAFF",icon:"🚦",tagline:"Kecerdasan teritorial, mobilitas, dan interpretasi dinamis ruang perkotaan",sections:[{title:"2.11 Fokus dan Cakupan Operasional",desc:"Platform yang ditujukan untuk mobilitas, lalu lintas, tata ruang kota, dan interpretasi dinamis wilayah.",type:"list",items:["Dinas lalu lintas dan mobilitas kotamadya","Pusat operasi perkotaan (COU)","Dinas pekerjaan umum dan perencanaan kota","Lembaga penegak lalu lintas","Pengelola acara publik berskala besar","Operator jalan tol dan tempat parkir","Pasukan keamanan publik — pelacakan kendaraan dan operasi jalan"]},{title:"2.12 Infrastruktur Eksklusif",type:"params",params:[{param:"Berjalan di mana",value:"Server perusahaan yang bertanggung jawab atas lalu lintas dan tata ruang kota"},{param:"GPU",value:"Tidak diperlukan (kecuali analisis pelanggaran kompleks dan SBC pencegahan kecelakaan jalan tol)"},{param:"Penyimpanan",value:"Rendah — membaca langsung dari NAS, DVR, NVR, atau streaming yang ada"},{param:"Sumber yang kompatibel",value:"Kamera publik jalan, lampu lalu lintas, radar tetap dan bergerak — standar apa pun"},{param:"Skala",value:"Jaringan jalan perkotaan lengkap — lingkungan, koridor, kota"}]},{title:"2.13 Deteksi Spesifik",type:"list",items:["Pelanggaran lalu lintas — pembuatan denda otomatis dengan bukti","Kecelakaan dan tabrakan pejalan kaki — deteksi dan notifikasi segera","Pembentukan kemacetan — deteksi dini sebelum kolaps","Pemblokiran dan pengalihan jalan","Penguasaan ruang publik yang tidak teratur","Peristiwa atipikal yang mempe

45ngaruhi mobilitas perkotaan","Risiko operasional di jalan dan kawasan strategis","Pola aliran, zona kritis, dan pengulangan","Pelacakan kendaraan mencurigakan — pelat nomor, model, warna, rute","Konsentrasi dan kepadatan orang di jalan dan ruang publik","Pengejaran otomatis jika diminta operator"]},{title:"2.14 Kecerdasan Teritorial (eksklusif F.A.S.T.-AI)",type:"list",items:["Analisis pola aliran kendaraan dan pejalan kaki berdasarkan jam, hari, dan zona","Identifikasi zona kritis dan pengulangan insiden","Dukungan keputusan perencanaan jalan dan perkotaan dengan data nyata","Dasbor manajemen teritorial real-time untuk sekretaris dan manajer","Dukungan manajemen acara besar — kepadatan, aliran, risiko kerumunan","Pembuatan informasi strategis berkelanjutan tentang perilaku wilayah"]},{title:"2.15 Model Komersial",type:"params",params:[{param:"Lisensi",value:"Kotamadya/negara bagian — kontrak dengan lembaga publik mobilitas atau keamanan"},{param:"Penerapan",value:"Server kotamadya atau operator — di atas infrastruktur yang ada"},{param:"ROI langsung",value:"Pendapatan yang dihasilkan dari denda otomatis melebihi biaya platform"},{param:"Pilot",value:"Dapat diimplementasikan dalam maksimal 7 hari kerja di kamera publik yang ada"}]}]}],comparison:{title:"Ringkasan Perbandingan Tiga Platform",rows:[{feature:"Fokus utama",drakon:"Sektor publik dan misi kritis",perceptrum:"Sektor privat dan residensial",fast:"Lalu lintas dan tata ruang kota"},{feature:"Berjalan di mana",drakon:"Server pelanggan (on-premise)",perceptrum:"Komputer pribadi (i5+)",fast:"Server kotamadya/operator"},{feature:"GPU diperlukan",drakon:"❌ Tidak",perceptrum:"❌ Tidak",fast:"❌ Tidak (kecuali SBC)"},{feature:"Penggantian kamera",drakon:"❌ Tidak diperlukan",perceptrum:"❌ Tidak diperlukan",fast:"❌ Tidak diperlukan"},{feature:"Analisis langsung (24/7)",drakon:"✅ Ya",perceptrum:"✅ Ya",fast:"✅ Ya"},{feature:"Pasca-pemrosesan rekaman",drakon:"✅ Ya (DVR/NVR/NAS)",perceptrum:"✅ Ya (DVR/NVR/NAS)",fast:"✅ Ya (DVR/NVR/NAS)"},{feature:"JOB bahasa alami",drakon:"✅ Ya",perceptrum:"✅ Ya",fast:"✅ Ya"},{feature:"Integrasi API/Webhook",drakon:"✅ Ya",perceptrum:"✅ Ya",fast:"✅ Ya"},{feature:"Pelacakan multi-kamera",drakon:"✅ Ya",perceptrum:"✅ Ya",fast:"✅ Ya"},{feature:"Jaringan kerja sama privat",drakon:"✅ Mengkoordinasikan pencarian",perceptrum:"✅ Berpartisipasi (sukarela)",fast:"✅ Mengkoordinasikan pencarian jalan"},{feature:"Versi gratis tersedia",drakon:"❌ Tidak",perceptrum:"✅ Ya (dasar)",fast:"❌ Tidak"},{feature:"PoC tersedia",drakon:"✅ Ya",perceptrum:"❌ Tidak",fast:"✅ Ya"},{feature:"Denda otomatis",drakon:"❌ Bukan fokus",perceptrum:"❌ Bukan fokus",fast:"✅ Ya — pembuatan otomatis"},{feature:"Kecerdasan teritorial",drakon:"Operasional institusional",perceptrum:"Operasional privat",fast:"✅ Teritorial dan perkotaan"},{feature:"Kepatuhan GDPR/LGPD",drakon:"✅ Ya",perceptrum:"✅ Ya (berdasarkan desain)",fast:"✅ Ya"},{feature:"Waktu aktivasi pilot",drakon:"Maksimal 7 hari kerja",perceptrum:"Menit",fast:"Maksimal 7 hari kerja"}]}},vi:{hero:{badge:"Thông số kỹ thuật",title:"Thông số kỹ thuật",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"Tài liệu kỹ thuật có cấu trúc cho các quy trình đánh giá, mua sắm và tích hợp. Tất cả thông số của ba nền tảng AiQuimist — chức năng chung và điểm khác biệt độc quyền.",part1:"PHẦN 1 — Thông số cốt lõi",part1sub:"Các chức năng có mặt ở cả ba nền tảng",part2:"PHẦN 2 — Thông số độc quyền",part2sub:"Điểm khác biệt riêng của từng sản phẩm",part3:"Tóm tắt so sánh"},copy:"Sao chép bảng",copied:"Đã sao chép!",yes:"✅ Có",no:"❌ Không",feature:"Tính năng",capacity:"Dung lượng",detail:"Chi tiết",param:"Tham số",value:"Giá trị",sections:[{id:"s1",title:"1.1 Động cơ AI — Diễn giải đa phương thức toàn cầu",desc:"Nền tảng AiQuimist phân tích đồng thời video, âm thanh, văn bản và hình ảnh để trích xuất ngữ cảnh thực tế và xác định các tình huống liên quan.",type:"capabilities",items:[{label:"🎥 Video",detail

45:"Phân tích thời gian thực camera trực tiếp và bản ghi. Nhận biết cảnh vật, đối tượng, hành vi, chuyển động và các mẫu."},{label:"🔊 Âm thanh",detail:"Phát hiện giọng nói, từ khóa, mẫu ngữ nghĩa, giọng điệu, độ khẩn cấp, xung đột và các âm thanh đáng chú ý có thể cấu hình."},{label:"📄 Văn bản và Hình ảnh",detail:"Tải lên và phân tích tệp (video, hình ảnh, âm thanh, văn bản). Trích xuất bằng chứng, siêu dữ liệu và tương quan giữa các nguồn."},{label:"Xử lý thời gian gốc",detail:"Phân tích sự trơn tru của chuyển động, không chỉ các khung riêng lẻ"},{label:"Cửa sổ ngữ cảnh lớn",detail:"Duy trì bộ nhớ về các giai đoạn video/âm thanh dài để tương quan sự kiện"},{label:"Phân tích thời gian thực (trực tiếp)",detail:"Luồng camera và kênh âm thanh 24×7"},{label:"Hậu xử lý",detail:"Cùng tiêu chí phát hiện áp dụng cho tệp và bản ghi: NVR, DVR, NAS"},{label:"Tải lên tệp kỹ thuật số",detail:"Video, hình ảnh, âm thanh và văn bản để phân tích đa phương thức tương quan"},{label:"Nhận dạng trạng thái cảm xúc",detail:"Đọc ngôn ngữ cơ thể, giọng điệu và tín hiệu hành vi"},{label:"Trừu tượng hóa nhà cung cấp AI",detail:"Endpoint, thông tin xác thực và giới hạn có thể cấu hình; thay đổi nhà cung cấp với tác động tối thiểu"}]},{id:"s2",title:"1.2 Thu nhận Camera và Nguồn",type:"mixed",items:[{label:"Tương thích toàn cầu",detail:"Bất kỳ camera nào, bất kể thương hiệu, nhà sản xuất, mô hình hoặc thế hệ"},{label:"Analog và kỹ thuật số",detail:"Không cần thay thế phần cứng"},{label:"Giao thức chính",detail:"RTSP, ONVIF và các phương thức HTTP/tệp tương đương"},{label:"DVR / NVR / NAS",detail:"Đọc thiết bị đã lắp đặt tại khách hàng"},{label:"Nhập hàng loạt",detail:"Excel hoặc CSV với siêu dữ liệu camera (IP, nhà sản xuất, người dùng, mật khẩu, cổng, v.v.)"},{label:"Vận hành tự chủ",detail:"Hoàn toàn cục bộ qua mạng nội bộ — không có luồng tiếp xúc với internet"},{label:"Bảo mật mạng",detail:"Không mở cổng để truy cập từ xa, không cấu hình đường hầm/NAT"},{label:"Khả năng mở rộng",detail:"1 đến N camera/kênh âm thanh song song"}

45,{label:"Khả dụng luồng",detail:"Giám sát và phục hồi tự động sau sự cố"}]},{id:"s3",title:"1.3 Điều phối nhiệm vụ — JOB / STEP",desc:"Hệ thống tự động hóa thông minh thay thế người vận hành trong các quy trình giám sát. Được tạo thông qua lệnh ngôn ngữ tự nhiên — không cần mã hóa hoặc lập trình.",type:"capabilities",items:[{label:"JOB (nhiệm vụ)",detail:"Đơn vị giám sát đọc 1 hoặc N camera/kênh và hoạt động theo các điều kiện được xác định"},{label:"STEP (bước)",detail:"Mỗi JOB bao gồm nhiều bước được liên kết; kết quả của một camera (đầu ra) cung cấp cho camera tiếp theo (đầu vào)"},{label:"Nhiều nguồn mỗi bước",detail:"Mỗi STEP có thể kích hoạt 1 hoặc nhiều camera và/hoặc 1 hoặc nhiều kênh âm thanh"},{label:"Liên kết thông minh",detail:"Phụ thuộc nhận thức giữa các bước; luồng thay đổi dựa trên kết quả trước đó"},{label:"Quyết định có điều kiện gốc",detail:"Phân nhánh, ngắt, lặp hoặc leo thang dựa trên kết quả thực tế"}

45,{label:"Lệnh mỗi kênh",detail:"Mỗi camera hoặc kênh âm thanh nhận lệnh cụ thể trong cùng một JOB"},{label:"Lập lịch",detail:"Thá»±c thi vào các ngày và giờ đã lên lịch với thời lượng xác định hoặc liên tục"},{label:"Kích hoạt/vô hiệu hóa tức thì",detail:"Không cần cấu hình lại"},{label:"Quản lý phiên bản nhiệm vụ",detail:"Lịch sá»­ cấu hình và lệnh"},{label:"Tạo bởi người dùng phi kỹ thuật",detail:"Người vận hành không có kiến thức kỹ thuật tạo JOB hoàn chỉnh qua giao diện đại lý thông minh"}],params:[{param:"Tạo JOB",value:"Ngôn ngữ tá»± nhiên (văn bản hoặc giọng nói) — không có mã"},{param:"Liên kết",value:"STEP N sá»­ dụng kết quả nhận thức của STEP N-1"},{param:"Nguồn mỗi STEP",value:"1 hoặc nhiều camera + 1 hoặc nhiều kênh âm thanh"},{param:"Lập lịch",value:"Ngày, giờ, thời lượng và lặp lại có thể cấu hình"}]},{id:"s4",title:"1.4 Khả năng phát hiện và phân loại",type:"grouped",groups:[{label:"Phát hiện dá»±a trên video (thị giác máy tính / đa phÆ°Æ¡ng thức)",items:["Xác định các tình huống và hành động liên quan theo các lệnh được cấu hình","Nhận dạng người quan tâm — danh sách theo dõi với liên kết sá»± kiện tá»± động","Đếm người với kích hoạt có điều kiện (nhiều hÆ¡n X / ít hÆ¡n X / chính xác X)","Theo dõi 1 hoặc nhiều cá nhân/phÆ°Æ¡ng tiện theo thời gian","Theo dõi đa camera với nhận dạng lại — theo dõi di chuyển giữa camera A → N → B","Phát hiện sai lệch tuyến đường và vi phạm quỹ đạo dá»± kiến","Đọc biển số, biển hiệu và nội dung văn bản hiển thị trên camera","Nhận dạng cá»­ chỉ tay có thể cấu hình và cá»­ chỉ ngôn ngữ ký hiệu (khi được xác định trong lệnh)","Phát hiện trạng thái cảm xúc và ngôn ngữ cÆ¡ thể trước xung đột"]},{label:"Phát hiện dá»±a trên âm thanh (giọng nói / âm thanh / đa phÆ°Æ¡ng thức)",items:["Phân tích âm thanh thời gian thá»±c và được ghi lại với phiên âm (STT) khi áp dụng","Phân biệt người nói — tách và nhận dạng người nói với tóm tá

45º¯t mỗi người nói và tóm tắt toàn bộ cuộc trò chuyện","Phát hiện từ khóa được nói theo tham số hóa","Phát hiện cụm từ và mẫu ngữ nghÄ©a có thể cấu hình","Phát hiện mẫu giọng nói cho thấy sá»± cố — khẩn cấp, xung đột, lặp lại","Làm nổi bật các đoạn liên quan để kiểm toán"]},{label:"Hệ thống cảnh báo",items:["Cảnh báo điều kiện đáp ứng — ví dụ: 'nhóm X cá nhân được phát hiện tại điểm A'","Cảnh báo điều kiện không đáp ứng — ví dụ: 'cá nhân không đi qua camera Y trong thời gian T'","Cảnh báo với logic chuỗi bước — quy trình làm việc nhiều điểm có thể cấu hình","Kích hoạt, cá»­a sổ thời gian và tiêu chí tÆ°Æ¡ng quan có thể cấu hình","Mức độ nghiêm trọng, người nhận và kênh thông báo có thể cấu hình","Bằng chứng đính kèm cảnh báo — khung, clip video, đoạn âm thanh","Hồ sÆ¡ vòng đời cảnh báo — được tạo, gá»­i, nhận và đóng"]}]},{id:"s5",title:"1.5 Ngữ cảnh hóa và Tạo bằng chứng",type:"capabilities",items:[{label:"Mô tả ngữ cảnh tá»± động",detail:"Được tạo bằng ngôn ngữ tá»± nhiên cho mỗi sá»± kiện được phát hiện"},{label:"Siêu dữ liệu có cấu trúc",detail:"Nguồn, ngày/giờ, vị trí logic, loại sá»± kiện, mức độ nghiêm trọng"},{label:"TÆ°Æ¡ng quan tá»± động",detail:"Cùng cá nhân, cùng khu vá»±c, cùng khoảng thời gian — giữa nhiều nguồn"},{label:"Trích xuất bằng chứng",detail:"Khung, clip video, đoạn âm thanh, văn bản được nhận dạng"}

45,{label:"Khả năng truy xuất suy luận",detail:"Nhật ký và kiểm toán tất cả các phát hiện"},{label:"Báo cáo vận hành",detail:"Dấu vết kiểm toán đầy đủ"}]},{id:"s6",title:"1.6 Vận hành Ngôn ngữ tự nhiên",desc:"Bất kỳ người vận hành nào — không cần đào tạo kỹ thuật — có thể tạo, cấu hình và vận hành JOB hoàn chỉnh bằng văn bản hoặc giọng nói. Không cần lập trình, tập lệnh hoặc công cụ bên ngoài.",type:"capabilities",items:[{label:"Truy vấn ngôn ngữ tự nhiên",detail:"Câu hỏi với câu trả lời được ngữ cảnh hóa"},{label:"Lệnh văn bản và giọng nói",detail:"Tạo, chỉnh sửa và kích hoạt nhiệm vụ"},{label:"Cấu hình hoàn chỉnh qua lệnh",detail:"Giám sát, cảnh báo, kích hoạt và người nhận"},{label:"Kiểm soát quản trị",detail:"Xác nhận cho các hành động quan trọng, hạn chế theo hồ sơ"},{label:"Dấu vết kiểm toán",detail:"Hồ sơ tất cả các lệnh và thay đổi"}]},{id:"s7",title:"1.7 Tích hợp bên ngoài — API và Webhook",type:"capabilities",items:[{label:"Kích hoạt webhook tự động",detail:"Gọi API bên ngoài dựa trên các điều kiện được xác định"},{label:"Cấu hình người vận hành phi kỹ thuật",detail:"Qua lệnh ngôn ngữ tự nhiên"},{label:"Tải trọng có cấu trúc",detail:"Siêu dữ liệu và bằng chứng trong JSON"},{label:"Xác thực trong các cuộc gọi bên ngoài",detail:"Token, khóa, chữ ký và danh sách cho phép"},{label:"Kiểm toán yêu cầu",detail:"Nhật ký đầy đủ tất cả các cuộc gọi bên ngoài"},{label:"Xử lý lỗi",detail:"Thử lại, hàng đợi và nhật ký"},{label:"Khả năng tương tác",detail:"Bảng điều khiển, nhắn tin, hồ sơ và hệ thống quản lý"}],params:[{param:"Giao thức",value:"REST API + Webhook"},{param:"Tải trọng",value:"JSON có cấu trúc với siêu dữ liệu, bằng chứng và ngữ cảnh"},{param:"Xác thực",value:"Token, khóa, chữ ký và danh sách cho phép"},{param:"Kiểm toán",value:"Nhật ký đầy đủ tất cả các cuộc gọi bên ngoài"}]},{id:"s8",title:"1.8 Số liệu tiêu thụ và Quản lý chi phí",type:"capabilities",items:[{label:"Số liệu mỗi JOB/STEP",detail:"Ghi lại và khả dụng chi tiết"}

45,{label:"Số liệu mỗi camera/kênh âm thanh",detail:"Tiêu thụ riêng lẻ theo nguồn"},{label:"Số liệu mỗi người dùng/hồ sơ",detail:"Theo dõi sử dụng theo người vận hành"},{label:"Đếm token và yêu cầu",detail:"Ước tính và giá trị thực tế với độ trễ"},{label:"Chi phí theo chiều",detail:"JOB, camera và người dùng"},{label:"Hạn ngạch và trung tâm chi phí",detail:"Hỗ trợ hạn ngạch và phân tách theo phòng ban"}]},{id:"s9",title:"1.9 Yêu cầu phần cứng",type:"params",params:[{param:"GPU",value:"Không cần — không có nền tảng nào trong ba"},{param:"GPU (F.A.S.T.-AI)",value:"Được sử dụng cho một số vi phạm phức tạp và giải pháp SBC phòng ngừa tai nạn đường cao tốc"},{param:"Phần cứng độc quyền",value:"Không cần — tích hợp với cơ sở hạ tầng hiện có"},{param:"Camera",value:"Không thay thế — tương thích với bất kỳ thiết bị đã lắp đặt nào"},{param:"Hệ điều hành được hỗ trợ",value:"Windows (tương thích gốc)"},{param:"Triển khai",value:"Tại chỗ, đám mây công cộng/riêng tư (lãnh thổ quốc gia) hoặc kết hợp"},{param:"Kích hoạt",value:"Ngày, không phải tháng — thí điểm có thể triển khai trong tối đa 7 ngày làm việc"}]},{id:"s10",title:"1.10 Bảo mật thông tin, Quản trị và Bảo vệ dữ liệu",type:"capabilities",items:[{label:"Kiểm soát truy cập RBAC",detail:"Phân tách nhiệm vụ và đặc quyền tối thiểu"}

45,{label:"Dấu vết kiểm toán đầy đủ",detail:"Nhật ký hoạt động, lệnh, thay đổi cấu hình và lệnh"},{label:"Bảo vệ dữ liệu",detail:"Trong quá trình truyền và khi lưu trữ"},{label:"Chính sách lưu giữ và xóa",detail:"Bút danh/ẩn danh khi áp dụng"},{label:"Quản lý hồ sơ truy cập",detail:"Hạn chế hoạt động theo cấp độ"},{label:"Tuân thủ GDPR/LGPD",detail:"Giảm thiểu, mục đích, sự cần thiết và trách nhiệm giải trình"},{label:"Lưu trữ thông tin xác thực",detail:"Windows Credential Manager/DPAPI hoặc tương đương — văn bản thuần túy bị cấm"}]},{id:"s11",title:"1.11 Tính khả dụng và Tính liên tục hoạt động",type:"capabilities",items:[{label:"Hoạt động 24×7",detail:"Giám sát liên tục không gián đoạn"},{label:"Phục hồi tự động",detail:"Tiếp tục sau sự cố luồng mà không cần can thiệp"},{label:"Khả năng chịu đựng gián đoạn kết nối",detail:"Xử lý lại nội dung được ghi lại"},{label:"Hàng đợi và xử lý lại",detail:"Đảm bảo phạm vi phủ sóng không có khoảng trống"},{label:"Tính khả dụng cao",detail:"Dự phòng, sao chép và cân bằng tải khi được cấu hình"}]},{id:"s12",title:"1.12 Tích hợp với Mạng hợp tác riêng tư",desc:"Khả năng độc quyền của hệ sinh thái AiQuimist: camera riêng tư của người dùng tự nguyện tự động tham gia tìm kiếm công cộng — mà không truyền video, không mở cổng mạng.",type:"capabilities",items:[{label:"Phân phối miễn phí",detail:"Giải pháp Windows có thể phân phối cho người dùng riêng tư trên toàn quốc"},{label:"Cơ chế ghép đôi",detail:"Mã kích hoạt, liên kết thiết bị và thu hồi"},{label:"Chỉ điểm cuối được ủy quyền",detail:"Chỉ điểm cuối được ủy quyền mới có thể tiêu thụ hoặc xuất bản dữ liệu/sự kiện"},{label:"Phát hiện và thông báo cục bộ",detail:"Phân tích xảy ra trên máy tính của người dùng riêng tư"},{label:"Thông báo kết quả khớp",detail:"Tự động đến nền tảng trung tâm khi có kết quả khớp với danh sách theo dõi"},{label:"Cảnh báo có cấu trúc",detail:"Hình ảnh cá nhân có lớp phủ, ngày/giờ, camera, địa chỉ đầy đủ, GPS, mức độ tin cậy, định danh"},{label:"Thuật toán Re-ID",detail:"Nhận dạng lại và nhận dạng khuôn mặt khi áp dụng và được ủy quyền"},{label:"Tham gia tự nguyện",detail:"Người dùng quyết định có kích hoạt hợp tác và camera nào tham gia"},{label:"Quyền riêng tư theo thiết kế",detail:"Không có cổng mở, không có luồng được truyền liên tục"}

45,{label:"Tuân thủ GDPR/LGPD đầy đủ",detail:"Phân tích cục bộ, chỉ chia sẻ kết quả liên quan"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"Trí tuệ thể chế cho các hoạt động công cộng và môi trường quan trọng",sections:[{title:"2.1 Trọng tâm và Phạm vi hoạt động",desc:"Nền tảng hướng đến khu vực công, thể chế và doanh nghiệp có mức độ quan trọng cao. Hoạt động trên các mạng camera quy mô lớn.",type:"list",items:["Thành phố, chính phủ tiểu bang và liên bang","Cảnh sát, đội bảo vệ thành phố và bộ an ninh","Trung tâm chỉ huy và kiểm soát tích hợp (CIOP)","Nhà tù và cơ sở giam giữ","Sân bay, cảng biển và bến cảng","Biên giới và cơ sở hạ tầng quan trọng quốc gia","Doanh nghiệp công và công ty tư nhân lớn với hoạt động phức tạp","Công ty tư nhân lớn: ngân hàng, logistics và các công ty khác"]},{title:"2.2 Cơ sở hạ tầng độc quyền",type:"params",params:[{param:"Chạy ở đâu",value:"Máy chủ của khách hàng (tại chỗ)"},{param:"Bảo mật dữ liệu",value:"100% nội bộ — không có thông tin nào tiếp xúc với internet"},{param:"GPU",value:"Không cần"},{param:"Máy chủ",value:"Thông thường — dành riêng cho cơ sở dữ liệu và đọc camera đồng thời"},{param:"Quy mô",value:"Mạng thể chế quy mô lớn — hàng chục đến hàng nghìn camera"}]},{title:"2.3 Phát hiện cụ thể",type:"list",items:["Chuyển động đáng ngờ ở vành đai, lối vào và môi trường quan trọng","Hành vi không phù hợp với khu vực nhạy cảm","Xâm nhập và cố gắng truy cập trái phép","Xung đột và tình huống bạo lực","Cố gắng trốn thoát tại cơ sở giam giữ","Sự hiện diện của vũ khí","Bỏ vật dụng ở nơi nguy hiểm","Thay đổi đột ngột trong mẫu hành vi","Tập trung người bất thường ở các điểm quan trọng","Tình huống nguy hiểm ở môi trường quan trọng — sân bay, biên giới, nhà tù","Động cơ thời gian: thực thi lệnh và hệ thống tiếp tục mà không cần can thiệp của con người"]},{title:"2.4 Điều phối Mạng hợp tác",type:"list",items:["Kích hoạt các tìm kiếm và theo dõi lan truyền qua toàn bộ mạng hợp tác công và riêng","Nhận thông báo tự động từ Perceptrum khi có kết quả khớp với danh sách theo dõi","Điều phối các hoạt động tích hợp giữa không gian công cộng, đường bộ (F.A.S.T.) và riêng tư (Perceptrum)","Tập trung cảnh báo, bằng chứng và hồ sơ theo dõi từ toàn bộ mạng tích hợp"]},{title:"2.5 Mô hình thương mại",type:"params",params:[{param:"Cấp phép",value:"Thể chế — hợp đồng với cơ quan công quyền hoặc tập đoàn"}

45,{param:"Triển khai",value:"Tại chỗ trên máy chủ của khách hàng"},{param:"Hỗ trợ",value:"Bao gồm giới thiệu và cấu hình"},{param:"Thí điểm",value:"Có thể triển khai trong tối đa 7 ngày làm việc trên cÆ¡ sở hạ tầng hiện có"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"Trí tuệ đa phÆ°Æ¡ng thức cho môi trường riêng tÆ° — từ gia đình đến tập đoàn lớn",sections:[{title:"2.6 Trọng tâm và Phạm vi hoạt động",desc:"Nền tảng hướng đến khu vá»±c riêng tÆ°, thÆ°Æ¡ng mại, dân cÆ° và chung cÆ°. Dân chủ hóa quyền truy cập vào trí tuệ giám sát nâng cao.",type:"list",items:["Nhà ở và hộ gia đình","Chung cÆ° và tòa nhà dân cÆ°/thÆ°Æ¡ng mại","Địa điểm thÆ°Æ¡ng mại nhỏ và vừa","Chuỗi bán lẻ và cá»­a hàng","Ngân hàng và tổ chức tài chính","Trung tâm mua sắm và bãi đậu xe","Trường học và đại học tÆ° thục","Bệnh viện và phòng khám tÆ°","Kho và cÆ¡ sở logistics","Trang trại và bất động sản nông thôn"]},{title:"2.7 CÆ¡ sở hạ tầng độc quyền",type:"params",params:[{param:"Chạy ở đâu",value:"Máy tính cá nhân của người dùng (gia đình hoặc doanh nghiệp)"},{param:"Bộ xá»­ lý tối thiểu",value:"Intel i5 hoặc cao hÆ¡n"},{param:"GPU",value:"Không cần"},{param:"LÆ°u trữ",value:"Dung lượng ổ đĩa cho hình ảnh tạm thời trong quá trình phân tích"},{param:"DVR/NVR",value:"Đọc gốc để tìm kiếm trong các bản ghi trước đó"},{param:"Kích hoạt",value:"Phút — nhập camera qua CSV và bắt đầu ngay lập tức"}]},{title:"2.8 Phát hiện cụ thể",type:"list",items:["Chuyển động ngoài mẫu vào những thời điểm hoặc địa điểm bá

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45ันเพื่อดึงบริบทที่แท้จริงและระบุสถานการณ์ที่เกี่ยวข้อง",type:"capabilities",items:[{label:"🎥 วิดีโอ",detail:"การวิเคราะห์แบบเรียลไทม์ของกล้องสดและการบันทึก จดจำฉาก วัตถุ พฤติกรรม การเคลื่อนไหว และรูปแบบ"},{label:"🔊 เสียง",detail:"การตรวจจับการพูด คำสำคัญ รูปแบบความหมาย น้ำเสียง ความเร่งด่วน ความขัดแย้ง และเสียงที่น่าสนใจที่กำหนดค่าได้"},{label:"📄 ข้อความและภาพ",detail:"การอัปโหลดและวิเคราะห์ไฟล์ (วิดีโอ ภาพ เสียง ข้อความ) การดึงหลักฐาน เมตาดาตา และความสัมพันธ์ระหว่างแหล่งข้อมูล"},{label:"การประมวลผลเวลาเนทีฟ",detail:"วิเคราะห์ความลื่นไหลของการเคลื่อนไหว ไม่ใช่แค่เฟรมที่แยกออกมา"},{label:"หน้าต่างบริบทขนาดใหญ่",detail:"รักษาหน่วยความจำของช่วงวิดีโอ/เสียงที่ยาวนานเพื่อความสัมพันธ์ของเหตุการณ์"},{label:"การวิเคราะห์แบบเรียลไทม์ (สด)",detail:"สตรีมกล้องและช่องเสียง 24×7"},{label:"การประมวลผลภายหลัง",detail:"เกณฑ์การตรวจจับเดียวกันที่ใช้กับไฟล์และการบันทึก: NVR, DVR, NAS"},{label:"การอัปโหลดไฟล์ดิจิทัล",detail:"วิดีโอ ภาพ เสียง และข้อความสำหรับการวิเคราะห์มัลติโมดัลที่สัมพันธ์กัน"},{label:"การระบุสถานะทางอารมณ์",detail:"อ่านภาษากาย น้ำเสียง และสัญญาณพฤติกรรม"},{label:"การแยกผู้ให้บริการ AI",detail:"Endpoint ข้อมูลรับรอง และขีดจำกัดที่กำหนดค่าได้ การเปลี่ยนผู้ให้บริการที่มีผลกระทบน้อยที่สุด"}]},{id:"s2",title:"1.2 การรับข้อมูลกล้องและแหล่งข้อมูล",type:"mixed",items:[{label:"ความเข้ากันได้สากล",detail:"กล้องใดก็ได้ ไม่ว่าจะเป็นยี่ห้อ ผู้ผลิต รุ่น หรือรุ่นใด"},{label:"แอนะล็อกและดิจิทัล",detail:"ไม่จำเป็นต้องเปลี่ยนฮาร์ดแวร์"},{label:"โปรโตคอลหลัก",detail:"RTSP, ONVIF และวิธี HTTP/ไฟล์ที่เทียบเท่า"},{label:"DVR / NVR / NAS",detail:"อ่านอุปกรณ์ที่ติดตั้งอยู่แล้วที่ลูกค้า"},{label:"การนำเข้าจำนวนมาก",detail:"Excel หรือ CSV พร้อมเมตาดาตาของกล้อง (IP ผู้ผลิต ผู้ใช้ รหัสผ่าน พอร์ต ฯลฯ)"},{label:"การดำเนินงานอัตโนมัติ",detail:"ท้องถิ่นโดยสมบูรณ์ผ่านเครือข่ายภายใน — ไม่มีการเปิดเผยสตรีมต่ออินเทอร์เน็ต"},{label:"ความปลอดภัยเครือข่าย",detail:"ไม่มีการเปิดพอร์ตสำหรับการเข้าถึงระยะไกล ไม่มีการกำหนดค่าอุโมงค์/NAT"},{label:"ความสามารถในการปรับขนาด",detail:"1 ถึง N กล้อง/

45ช่องเสียงแบบขนาน"},{label:"ความพร้อมใช้งานของสตรีม",detail:"การตรวจสอบและการกู้คืนอัตโนมัติหลังจากความล้มเหลว"}]},{id:"s3",title:"1.3 การจัดระเบียบงาน — JOB / STEP",desc:"ระบบอัตโนมัติอัจฉริยะที่แทนที่ผู้ปฏิบัติงานมนุษย์ในกิจวัตรการเฝ้าระวัง สร้างผ่านพรอมต์ภาษาธรรมชาติ — ไม่ต้องมีการเขียนโค้ดหรือการเขียนโปรแกรม",type:"capabilities",items:[{label:"JOB (งาน)",detail:"หน่วยการตรวจสอบที่อ่านกล้อง/ช่อง 1 หรือ N ช่องและดำเนินการตามเงื่อนไขที่กำหนด"},{label:"STEP (ขั้นตอน)",detail:"JOB แต่ละงานประกอบด้วยขั้นตอนที่เชื่อมโยงหลายขั้นตอน ผลลัพธ์ของกล้องหนึ่ง (เอาต์พุต) ป้อนให้กับกล้องถัดไป (อินพุต)"},{label:"หลายแหล่งข้อมูลต่อขั้นตอน",detail:"แต่ละ STEP สามารถเปิดใช้งานกล้อง 1 ตัวหรือมากกว่าและ/หรือช่องเสียง 1 ช่องหรือมากกว่า"},{label:"การเชื่อมโยงอัจฉริยะ",detail:"การพึ่งพาเชิงความรู้ระหว่างขั้นตอน กระแสเปลี่ยนตามผลลัพธ์ก่อนหน้า"},{label:"การตัดสินใจแบบมีเงื่อนไขเนทีฟ",detail:"การแตกกิ่ง การหยุดชะงัก การทำซ้ำ หรือการยกระดับตามผลลัพธ์จริง"},{label:"พรอมต์ต่อช่อง",detail:"กล้องหรือช่องเสียงแต่ละตัวได้รับพรอมต์เฉพาะภายใน JOB เดียวกัน"},{label:"การจัดกำหนดการ",detail:"การดำเนินการในวันที่และเวลาที่กำหนดด้วยระยะเวลาที่กำหนดหรือต่อเนื่อง"},{label:"การเปิดใช้งาน/ปิดใช้งานทันที",detail:"ไม่จำเป็นต้องกำหนดค่าใหม่"},{label:"การควบคุมเวอร์ชันงาน",detail:"ประวัติการกำหนดค่าและพรอมต์"},{label:"การสร้างโดยผู้ใช้ที่ไม่มีทักษะด้านเทคนิค",detail:"ผู้ปฏิบัติงานที่ไม่มีความรู้ด้านเทคนิคสร้าง JOB ที่สมบูรณ์ผ่านอินเทอร์เฟซตัวแทนอัจฉริยะ"}],params:[{param:"การสร้าง JOB",value:"ภาษาธรรมชาติ (ข้อความหรือเสียง) — ไม่มีโค้ด"},{param:"การเชื่อมโยง",value:"STEP N ใช้ผลลัพธ์เชิงความรู้ของ STEP N-1"},{param:"แหล่งข้อมูลต่อ STEP",value:"กล้อง 1 ตัวหรือมากกว่า + ช่องเสียง 1 ช่องหรือมากกว่า"},{param:"การจัดกำหนดการ",value:"กำหนดค่าวันที่ เวลา ระยะเวลา และการทำซ้ำได้"}]},{id:"s4",title:"1.4 ความสามารถในการตรวจจับและจำแนกประเภท",type:"grouped",groups:[{label:"การตรวจจับโดยใช้วิดีโอ (วิสัยทัศน์คอมพิวเตอร์ / มัลติโมดัล)",items:["การระบุสถานการณ์และการกระทำที่เกี่ยวข้องตามพรอมต์ที่กำหนดค่า","การจดจำบุคคลที่น่าสนใจ — รายการเฝ้าระวังพร้อมก

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45:"แหล่งข้อมูล วันที่/เวลา ตำแหน่งเชิงตรรกะ ประเภทเหตุการณ์ ความรุนแรง"},{label:"ความสัมพันธ์อัตโนมัติ",detail:"บุคคลเดียวกัน พื้นที่เดียวกัน ช่วงเวลาเดียวกัน — ระหว่างแหล่งข้อมูลหลายแหล่ง"},{label:"การดึงหลักฐาน",detail:"เฟรม คลิปวิดีโอ ส่วนเสียง ข้อความที่จดจำ"},{label:"ความสามารถในการตรวจสอบย้อนกลับการอนุมาน",detail:"บันทึกและการตรวจสอบการตรวจจับทั้งหมด"},{label:"รายงานการปฏิบัติงาน",detail:"เส้นทางการตรวจสอบที่สมบูรณ์"}]},{id:"s6",title:"1.6 การดำเนินงานด้วยภาษาธรรมชาติ",desc:"ผู้ปฏิบัติงานใดก็ได้ — โดยไม่ต้องมีการฝึกอบรมด้านเทคนิค — สามารถสร้าง กำหนดค่า และดำเนินการ JOB ที่สมบูรณ์โดยใช้ข้อความหรือเสียง ไม่ต้องมีการเขียนโปรแกรม สคริปต์ หรือเครื่องมือภายนอก",type:"capabilities",items:[{label:"การสอบถามภาษาธรรมชาติ",detail:"คำถามพร้อมคำตอบที่มีบริบท"},{label:"คำสั่งข้อความและเสียง",detail:"การสร้าง แก้ไข และเปิดใช้งานงาน"},{label:"การกำหนดค่าที่สมบูรณ์ผ่านพรอมต์",detail:"การตรวจสอบ การแจ้งเตือน ตัวกระตุ้น และผู้รับ"},{label:"การควบคุมการกำกับดูแล",detail:"การยืนยันสำหรับการดำเนินการที่สำคัญ ข้อจำกัดตามโปรไฟล์"},{label:"เส้นทางการตรวจสอบ",detail:"บันทึกคำสั่งและการเปลี่ยนแปลงทั้งหมด"}]},{id:"s7",title:"1.7 การบูรณาการภายนอก — API และ Webhook",type:"capabilities",items:[{label:"การเรียก Webhook อัตโนมัติ",detail:"การเรียก API ภายนอกตามเงื่อนไขที่กำหนด"},{label:"การกำหนดค่าผู้ปฏิบัติงานที่ไม่มีทักษะด้านเทคนิค",detail:"ผ่านพรอมต์ภาษาธรรมชาติ"},{label:"เพย์โหลดที่มีโครงสร้าง",detail:"เมตาดาตาและหลักฐานใน JSON"},{label:"การรับรองความถูกต้องในการเรียกภายนอก",detail:"โทเค็น กุญแจ ลายเซ็น และรายการอนุญาต"},{label:"การตรวจสอบคำขอ",detail:"บันทึกที่สมบูรณ์ของการเรียกภายนอกทั้งหมด"},{label:"การจัดการความล้มเหลว",detail:"การลองใหม่ คิว และบันทึก"},{label:"การทำงานร่วมกัน",detail:"แดชบอร์ด การส่งข้อความ บันทึก และระบบการจัดการ"}],params:[{param:"โปรโตคอล",value:"REST API + Webhooks"},{param:"เพย์โหลด",value:"JSON ที่มีโครงสร้างพร้อมเมตาดาตา หลักฐาน และบริบท"},{param:"การรับรองความถูกต้อง",value:"โทเค็น กุญแจ ลายเซ็น และรายการอนุญาต"},{param:"การตรวจสอบ",value:"บันทึกที่สมบูรณ์ของการเรียกภายนอกทั้งหมด"}]},{id:"s8",title:"1.8 เมตริกการใช้งานและการจัดการต้นทุน",type:"capabilities",items:[{label:"เมตริกต่อ JOB/STEP",detail:"การบันทึกและความพร้อมใช้งานโดยละเอียด"}

45,{label:"เมตริกต่อกล้อง/ช่องเสียง",detail:"การใช้งานส่วนบุคคลต่อแหล่งข้อมูล"},{label:"เมตริกต่อผู้ใช้/โปรไฟล์",detail:"การติดตามการใช้งานต่อผู้ปฏิบัติงาน"},{label:"การนับโทเค็นและคำขอ",detail:"ค่าประมาณและค่าจริงพร้อมเวลาแฝง"},{label:"ต้นทุนต่อมิติ",detail:"JOB กล้อง และผู้ใช้"},{label:"โควต้าและศูนย์ต้นทุน",detail:"รองรับโควต้าและการแยกตามแผนก"}]},{id:"s9",title:"1.9 ข้อกำหนดฮาร์ดแวร์",type:"params",params:[{param:"GPU",value:"ไม่จำเป็น — ทั้งสามแพลตฟอร์ม"},{param:"GPU (F.A.S.T.-AI)",value:"ใช้สำหรับการละเมิดบางประเภทที่ซับซ้อนและโซลูชัน SBC ป้องกันอุบัติเหตุทางหลวง"},{param:"ฮาร์ดแวร์เฉพาะ",value:"ไม่จำเป็น — บูรณาการกับโครงสร้างพื้นฐานที่มีอยู่"},{param:"กล้อง",value:"ไม่มีการเปลี่ยนทดแทน — เข้ากันได้กับอุปกรณ์ที่ติดตั้งใดก็ได้"},{param:"ระบบปฏิบัติการที่รองรับ",value:"Windows (ความเข้ากันได้เนทีฟ)"},{param:"การปรับใช้",value:"On-premises คลาวด์สาธารณะ/ส่วนตัว (ดินแดนแห่งชาติ) หรือไฮบริด"},{param:"การเปิดใช้งาน",value:"วัน ไม่ใช่เดือน — สามารถดำเนินการนำร่องได้ภายในสูงสุด 7 วันทำการ"}]},{id:"s10",title:"1.10 ความปลอดภัยของข้อมูล การกำกับดูแล และการคุ้มครองข้อมูล",type:"capabilities",items:[{label:"การควบคุมการเข้าถึง RBAC",detail:"การแยกหน้าที่และสิทธิ์ขั้นต่ำ"},{label:"เส้นทางการตรวจสอบที่สมบูรณ์",detail:"บันทึกการดำเนินงาน คำสั่ง การเปลี่ยนแปลงการกำหนดค่า และพรอมต์"},{label:"การคุ้มครองข้อมูล",detail:"ระหว่างการส่งและขณะพัก"},{label:"นโยบายการเก็บรักษาและการลบ",detail:"การใช้นามสกุล/การทำให้ไม่ระบุตัวตนเมื่อใช้ได้"},{label:"การจัดการโปรไฟล์การเข้าถึง",detail:"ข้อจำกัดการปฏิบัติงานตามระดับ"},{label:"การปฏิบัติตาม GDPR/LGPD",detail:"การลดขั้นต่ำ วัตถุประสงค์ ความจำเป็น และความรับผิดชอบ"},{label:"การจัดเก็บข้อมูลรับรอง",detail:"Windows Credential Manager/DPAPI หรือเทียบเท่า — ห้ามใช้ข้อความธรรมดา"}]},{id:"s11",title:"1.11 ความพร้อมใช้งานและความต่อเนื่องในการปฏิบัติงาน",type:"capabilities",items:[{label:"การดำเนินงาน 24×7",detail

45:"การตรวจสอบอย่างต่อเนื่องโดยไม่มีการหยุดชะงัก"},{label:"การกู้คืนอัตโนมัติ",detail:"ดำเนินการต่อหลังจากความล้มเหลวของสตรีมโดยไม่ต้องแทรกแซง"},{label:"ความยืดหยุ่นต่อการหยุดชะงักของการเชื่อมต่อ",detail:"การประมวลผลใหม่ของเนื้อหาที่บันทึก"},{label:"คิวและการประมวลผลใหม่",detail:"รับประกันความครอบคลุมโดยไม่มีช่องว่าง"},{label:"ความพร้อมใช้งานสูง",detail:"ความซ้ำซ้อน การจำลองแบบ และการปรับสมดุลโหลดเมื่อกำหนดค่า"}]},{id:"s12",title:"1.12 การบูรณาการกับเครือข่ายความร่วมมือส่วนตัว",de

45sc:"ความสามารถพิเศษของระบบนิเวศ AiQuimist: กล้องส่วนตัวของผู้ใช้อาสาสมัครมีส่วนร่วมในการค้นหาสาธารณะโดยอัตโนมัติ — โดยไม่ต้องส่งวิดีโอหรือเปิดพอร์ตเครือข่าย",type:"capabilities",items:[{label:"การแจกจ่ายฟรี",detail:"โซลูชัน Windows ที่สามารถแจกจ่ายให้กับผู้ใช้ส่วนตัวทั่วประเทศ"},{label:"กลไกการจับคู่",detail:"รหัสเปิดใช้งาน การเชื่อมโยงอุปกรณ์ และการเพิกถอน"},{label:"เฉพาะ Endpoint ที่ได้รับอนุญาต",detail:"เฉพาะ Endpoint ที่ได้รับอนุญาตเท่านั้นที่สามารถบริโภคหรือเผยแพร่ข้อมูล/เหตุการณ์"},{label:"การตรวจจับและการแจ้งเตือนในเครื่อง",detail:"การวิเคราะห์เกิดขึ้นบนคอมพิวเตอร์ของผู้ใช้ส่วนตัว"},{label:"การแจ้งเตือนการจับคู่",detail:"อัตโนมัติไปยังแพลตฟอร์มกลางเมื่อมีการจับคู่กับรายการเฝ้าระวัง"},{label:"การแจ้งเตือนที่มีโครงสร้าง",detail:"ภาพบุคคลพร้อมการซ้อนทับ วันที่/เวลา กล้อง ที่อยู่เต็ม GPS ระดับความเชื่อมั่น ตัวระบุ"},{label:"อัลกอริทึม Re-ID",detail:"การระบุตัวตนใหม่ และเมื่อใช้ได้และได้รับอนุญาต การจดจำใบหน้า"},{label:"การมีส่วนร่วมโดยสมัครใจ",detail:"ผู้ใช้ตัดสินใจว่าจะเปิดใช้งานความร่วมมือและกล้องใดที่จะมีส่วนร่วม"},{label:"ความเป็นส่วนตัวตามการออกแบบ",detail:"ไม่มีพอร์ตที่เปิดอยู่ ไม่มีสตรีมที่ส่งอย่างต่อเนื่อง"},{label:"การปฏิบัติตาม GDPR/LGPD อย่างสมบูรณ์",detail:"การวิเคราะห์ในเครื่อง แบ่งปันเฉพาะผลลัพธ์ที่เกี่ยวข้อง"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"ปัญญาเชิงสถาบันสำหรับการดำเนินงานสาธารณะและสภาพแวดล้อมที่สำคัญ",sections:[{title:"2.1 จุดเน้นและขอบเขตการดำเนินงาน",desc:"แพลตฟอร์มที่มุ่งเป้าไปที่ภาคสาธารณะ สถาบัน และองค์กรที่มีความสำคัญสูง ดำเนินการบนเครือข่ายกล้องขนาดใหญ่",type:"list",items:["เทศบาล รัฐบาลระดับรัฐและระดับสหพันธ์","ตำรวจ หน่วยรักษาเมือง และกระทรวงความมั่นคง","ศูนย์บัญชาการและควบคุมแบบบูรณาการ (CIOP)","เรือนจำและสถานที่กักขัง","สนามบิน ท่าเรือ และสถานีขนส่ง","ชายแดนและโครงสร้างพื้นฐานที่สำคัญของชาติ","รัฐวิสาหกิจและบริษัทเอกชนขนาดใหญ่ที่มีการดำเนินงานซับซ้อน","บริษัทเอกชนขนาดใหญ่: ธนาคาร โลจิสติกส์ และอื่นๆ"]},{title:"2.2 โครงสร้างพื้นฐานพิเศษ",type:"params",params:[{param:"ทำงานที่ไหน",value:"เซิร์ฟเวอร์ของลูกค้าเอง (on-premise)"},{param:"ความปลอดภัยของข้อมูล",value:"100% ภายใน — ไม่มีข้อมูลที่เปิดเผยต่ออินเทอร์เน็ต"},{param:"GPU",value:"ไม่จำเป็น"},{param:"เซิร์ฟเวอร์",value:"ทั่วไป — อุทิศสำหรับฐานข้อมูลและการอ่านกล้องพร้อมก

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45à¸²à¸£à¸”ำเนินงานเชิงสถาบัน",perceptrum:"การดำเนินงานส่วนตัว",fast:"✅ เชิงดินแดนและเมือง"},{feature:"การปฏิบัติตาม GDPR/LGPD",drakon:"✅ ใช่",perceptrum:"✅ ใช่ (ตามการออกแบบ)",fast:"✅ ใช่"},{feature:"เวลาเปิดใช้งานนำร่อง",drakon:"สูงสุด 7 วันทำการ",perceptrum:"นาที",fast:"สูงสุด 7 วันทำการ"}]}},fa:{hero:{badge:"مشخصات فنی",title:"مشخصات فنی",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"سند فنی ساختاریافته برای فرآیندهای ارزیابی، تدارکات و یکپارچه‌سازی. تمام مشخصات هر سه پلتفرم AiQuimist — عملکردهای مشترک و تمایزات انحصاری.",part1:"بخش Û± — مشخصات اصلی",part1sub:"عملکردهای موجود در هر سه پلتفرم",part2:"بخش Û² — مشخصات انحصاری",part2sub:"تمایزات خاص هر محصول",part3:"خلاصه مقایسه‌ای"},copy:"کپی جدول",copied:"کپی شد!",yes:"✅ بله",no:"❌ خیر",feature:"ویژگی",capacity:"ظرفیت",detail:"جزئیات",param:"پارامتر",value:"مقدار",sections:[{id:"s1",title:"Û±.Û± موتور هوش مصنوعی — تفسیر چندوجهی جهانی",desc:"پلتفرم AiQuimist به طور همزمان ویدیو، صدا، متن و تصویر را تحلیل می‌کند تا زمینه واقعی را استخراج و موقعیت‌های مرتبط را شناسایی کند.",type:"capabilities",items:[{label:"🎥 ویدیو",detail:"تحلیل بلادرنگ دوربین‌های زنده و ضبط‌ها. صحنه‌ها، اشیاء، رفتارها، حرکت‌ها و الگوها را تشخیص می‌دهد."},{label:"🔊 صدا",detail:"تشخیص گفتار، کلمات کلیدی، الگوهای معنایی، لحن صدا، فوریت، درگیری و صداهای مورد علاقه قابل پیکربندی."},{label:"📄 متن و تصویر",detail:"آپلود و تحلیل فایل (ویدیو، تصویر، صدا، متن). استخراج شواهد، ابرداده و همبستگی بین منابع."},{label:"پردازش زمانی بومی",detail:"روانی حرکت را تحلیل می‌کند، نه فقط فریم‌های منفرد"},{label:"پنجره زمینه بزرگ",detail:"حافظه دوره‌های طولانی ویدیو/صدا را برای همبستگی رویدادها حفظ می‌کند"},{label:"تحلیل بلادرنگ (زنده)",detail:"جریان‌های دوربین و کانال‌های صوتی ۲۴×۷"},{label:"پس‌پردازش",detail:"معیارهای یکسان تشخیص برای فایل‌ها و ضبط‌ها: NVR، DVR، NAS"},{label:"آپلود فایل دیجیتال",detail:"ویدیو، تصویر، صدا و متن برای تحلیل چندوجهی همبسته"},{label:"شناسایی حالت احساسی",detail:"خواندن زبان بدن، لحن صدا و سیگنال‌های رفتاری"},{label:"انتزاع ارائه‌دهنده هوش مصنوعی",detail:"نقاط انتهایی، اعتبارنامه‌ها و محدودیت‌های قابل پیکربندی؛ تغییر ارائه‌دهنده با کمترین تأثیر"}]},{id:"s2",title:"Û±.Û² ورودی دوربین و منابع",type:"mixed",items:[{label:"سازگاری جهانی",detail:"هر دوربینی، صرف نظر از برند، سازنده، مدل یا نسل"},{label:"آنالوگ و دیجیتال",detail:"نیازی به تعویض سخت‌افزار نیست"},{label:"پروتکل اصلی",detail:"RTSP، ONVIF و روش‌های معادل HTTP/فایل"},{label:"DVR / NVR / NAS",detail:"خواندن تجهیزات از پیش نصب‌شده در مشتری"}

45,{label:"وارد کردن انبوه",detail:"Excel یا CSV با ابرداده‌های دوربین (IP، سازنده، کاربر، رمز عبور، پورت و غیره)"},{label:"عملیات مستقل",detail:"کاملاً محلی از طریق شبکه داخلی — بدون افشای جریان به اینترنت"},{label:"امنیت شبکه",detail:"بدون باز کردن پورت برای دسترسی از راه دور، بدون پیکربندی تونل/NAT"},{label:"مقیاس‌پذیری",detail:"۱ تا N دوربین/کانال صوتی به صورت موازی"},{label:"در دسترس بودن جریان",detail:"نظارت و بازیابی خودکار پس از خرابی‌ها"}]},{id:"s3",title:"۱.۳ هماهنگی وظایف — JOB / STEP",desc:"سیستم اتوماسیون هوشمند که اپراتورهای انسانی را در روتین‌های نظارت جایگزین می‌کند. از طریق درخواست‌های زبان طبیعی ایجاد می‌شود — بدون کدنویسی یا برنامه‌نویسی.",type:"capabilities",items:[{label:"JOB (وظیفه)",detail

45:"واحد نظارتی که ۱ یا N دوربین/کانال می‌خواند و بر اساس شرایط تعریف‌شده عمل می‌کند"},{label:"STEP (مرحله)",detail:"هر JOB از چندین مرحله زنجیره‌ای تشکیل شده؛ نتیجه یک دوربین (خروجی) به دوربین بعدی (ورودی) تغذیه می‌شود"},{label:"چندین منبع در هر مرحله",detail:"هر STEP می‌تواند ۱ یا چند دوربین و/یا ۱ یا چند کانال صوتی را فعال کند"},{label:"زنجیره‌سازی هوشمند",detail:"وابستگی شناختی بین مراحل؛ جریان بر اساس نتیجه قبلی تغییر می‌کند"},{label:"تصمیم‌گیری شرطی بومی",detail:"انشعاب، وقفه، تکرار یا تشدید بر اساس نتیجه واقعی"},{label:"درخواست در هر کانال",detail:"هر دوربین یا کانال صوتی درخواست خاصی در همان JOB دریافت می‌کند"},{label:"برنامه‌ریزی",detail:"اجرا در تاریخ‌ها و ساعات برنامه‌ریزی‌شده با مدت تعریف‌شده یا پیوسته"},{label:"فعال‌سازی/غیرفعال‌سازی فوری",detail:"نیازی به پیکربندی مجدد نیست"},{label:"نسخه‌بندی وظایف",detail:"تاریخچه پیکربندی و درخواست"},{label:"ایجاد توسط کاربران غیرفنی",detail:"اپراتوران بدون دانش فنی از طریق رابط عامل هوشمند JOB کامل ایجاد می‌کنند"}],params:[{param:"ایجاد JOB",value:"زبان طبیعی (متن یا صدا) — بدون کد"},{param:"زنجیره‌سازی",value:"STEP N از نتیجه شناختی STEP N-1 استفاده می‌کند"},{param:"منابع در هر STEP",value:"۱ یا چند دوربین + ۱ یا چند کانال صوتی"},{param:"برنامه‌ریزی",value:"تاریخ، ساعت، مدت و تکرار قابل پیکربندی"}]},{id:"s4",title:"۱.۴ قابلیت‌های تشخیص و طبقه‌بندی",type:"grouped",groups:[{label:"تشخیص مبتنی بر ویدیو (بینایی کامپیوتر / چندوجهی)",items:["شناسایی موقعیت‌ها و اقدامات مرتبط بر اساس درخواست‌های پیکربندی‌شده","تشخیص افراد مورد علاقه — فهرست مراقبت با ارتباط خودکار رویداد","شمارش افراد با محرک‌های شرطی (بیشتر از X / کمتر از X / دقیقاً X)","ردیابی ۱ یا چند فرد/وسیله نقلیه در طول زمان","ردیابی چند دوربین با شناسایی مجدد — حرکت بین دوربین‌های A → N → B را دنبال می‌کند","تشخیص انحراف از مسیر و نقض مسیر مورد انتظار","خواندن پلاک، تابلو و محتوای متنی قابل مشاهده در دوربین","شناسایی حرکات دست قابل پیکربندی و حرکات زبان اشاره (وقتی در درخواست تعریف شده)","تشخیص حالت احساسی و زبان بدن قبل از درگیری"]},{label:"تشخیص مبتنی بر صدا (گفتار / صداها / چندوجهی)",items:["تحلیل صدای بلادرنگ و ضبط‌شده با رونویسی (STT) در صورت کاربرد","تفکیک گوینده — جدا کردن و شناسایی گوینده با خلاصه هر گوینده و خلاصه کل مکالمه","تشخیص کلمات کلیدی گفتاری بر اساس پارامترسازی","تشخیص عبارات و الگوهای معنایی قابل پیکربندی","تشخیص الگوهای گفتاری نشانه‌دهنده وقوع — فوریت، درگیری، تکرار","برجسته کردن بخش‌های مرتبط برای حسابرسی"]},{label:"سیستم هشدار",items:["هشدار شرط برآورده‌شده — مثال: 'گروه X نفری در نقطه A شناسایی شد'","هشدار شرط برآورده‌نشده — مثال: 'فرد در زمان T از دوربین Y عبور نکرد'","هشدارهای با منطق توالی مراحل — جریان کار چند نقطه‌ای قابل پیکربندی","محرک‌ها، پنجره‌های زمانی و معیارهای همبستگی قابل پیکربندی","سطوح شدت، گیرندگان و کانال‌های اعلان قابل پیکربندی","شواهد پیوست به هشدارها — فریم‌ها، کلیپ‌های ویدیو، بخش‌های صوتی","ثبت چرخه حیات هشدار — تولید، ارسال، دریافت و بسته شدن"]}]},{id:"s5",title:"۱.۵ زمینه‌سازی و تولید شواهد",type:"capabilities",items:[{label:"توضیح زمینه خودکار",detail

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45’ تاکہ حقیقی سیاق و سباق نکالا جا سکے اور متعلقہ صورت حال کی شناخت کی جا سکے۔",type:"capabilities",items:[{label:"🎥 ویڈیو",detail:"لائیو کیمروں اور ریکارڈنگ کا ریئل ٹائم تجزیہ۔ مناظر، اشیاء، رویہ، حرکت اور نمونوں کو پہچانتا ہے۔"},{label:"🔊 آڈیو",detail:"تقریر، کلیدی الفاظ، معنیاتی نمونے، آواز کا لہجہ، فوریت، تنازع اور قابل ترتیب دلچسپ آوازوں کی پہچان۔"},{label:"📄 متن اور تصویر",detail:"فائل اپ لوڈ اور تجزیہ (ویڈیو، تصویر، آڈیو، متن)۔ ذرائع کے درمیان شواہد، میٹا ڈیٹا اور باہمی تعلق نکالنا۔"},{label:"مقامی وقتی پروسیسنگ",detail:"صرف الگ فریموں کو نہیں بلکہ حرکت کی روانی کا تجزیہ کرتا ہے"},{label:"بڑی سیاق و سباق ونڈو",detail:"واقعات کے باہمی تعلق کے لیے ویڈیو/آڈیو کے طویل ادوار کی یادداشت برقرار رکھتا ہے"},{label:"ریئل ٹائم تجزیہ (لائیو)",detail:"۲۴×۷ کیمرہ سٹریمز اور آڈیو چینلز"},{label:"بعد از پروسیسنگ",detail:"NVR، DVR، NAS کی فائلوں اور ریکارڈنگ پر یکساں پہچان معیار لاگو"},{label:"ڈیجیٹل فائل اپ لوڈ",detail:"باہم متعلق ملٹی موڈل تجزیہ کے لیے ویڈیو، تصویر، آڈیو اور متن"},{label:"جذباتی حالت کی شناخت",detail:"جسمانی زبان، آواز کا لہجہ اور رویہ سے متعلق اشاروں کو پڑھنا"},{label:"AI فراہم کنندہ خلاصہ",detail:"قابل ترتیب اینڈ پوائنٹس، اعتماد نامے اور حدود؛ کم سے کم اثر کے ساتھ فراہم کنندہ تبدیلی"}]},{id:"s2",title:"Û±.Û² کیمرہ اور ذرائع کا انجذاب",type:"mixed",items:[{label:"عالمگیر مطابقت",detail:"برانڈ، مینوفیکچرر، ماڈل یا نسل سے قطع نظر کوئی بھی کیمرہ"},{label:"اینالاگ اور ڈیجیٹل",detail:"ہارڈ ویئر کی تبدیلی کی ضرورت نہیں"},{label:"بنیادی پروٹوکول",detail:"RTSP، ONVIF اور مساوی HTTP/فائل طریقے"},{label:"DVR / NVR / NAS",detail:"گاہک میں پہلے سے نصب آلات کو پڑھنا"},{label:"بڑے پیمانے پر درآمد",detail:"کیمرہ میٹا ڈیٹا کے ساتھ Excel یا CSV (IP، مینوفیکچرر، صارف، پاس ورڈ، پورٹ وغیرہ)"},{label:"خودمختار آپریشن",detail:"اندرونی نیٹ ورک کے ذریعے مکمل طور پر مقامی — انٹرنیٹ پر سٹریم کا کوئی انکشاف نہیں"},{label:"نیٹ ورک سیکیورٹی",detail:"ریموٹ رسائی کے لیے کوئی پورٹ نہیں کھولا جاتا، کوئی ٹنل/NAT ترتیب نہیں دی جاتی"},{label:"توسیع پذیری",detail:"موازی طور پر Û± سے N کیمرے/آڈیو چینلز"},{label:"سٹریم دستیابی",detail:"ناکامیوں کے بعد نگرانی اور خودکار بحالی"}]},{id:"s3",title:"Û±.Û³ کام کی ہم آہنگی — JOB / STEP",desc:"ذہین آٹومیشن سسٹم جو نگرانی کے معمول میں انسانی آپریٹروں کی جگہ لیتا ہے۔ قدرتی زبان کے اشارے کے ذریعے بنایا گیا — کوئی کوڈنگ یا پروگرامنگ نہیں۔",type:"capabilities",items:[{label:"JOB (کام)",detail:"نگرانی اکائی جو Û± یا N کیمرے/چینل پڑھتی ہے اور متعین شرائط کے مطابق کام کرتی ہے"},{label:"STEP (مرحلہ)",detail:"ہر JOB کئی زنجیر بند مراحل پر مشتمل ہے؛ ایک کیمرے کا نتیجہ (آؤٹ پٹ) اگلے کو فیڈ کرتا ہے (ان پٹ)"},{label:"فی مرحلہ متعدد ذرائع",detail:"ہر STEP Û± یا زیادہ کیمرے اور/یا Û± یا زیادہ آڈیو چینلز کو فعال کر سکتا ہے"}

45,{label:"ذہین زنجیر بندی",detail:"مراحل کے درمیان علمی انحصار؛ بہاؤ پچھلے نتیجے کی بنیاد پر بدلتا ہے"},{label:"مقامی مشروط فیصلے",detail:"حقیقی نتیجے کی بنیاد پر شاخیں، رکاوٹ، تکرار یا توسیع"},{label:"فی چینل اشارہ",detail:"ہر کیمرہ یا آڈیو چینل اسی JOB میں ایک مخصوص اشارہ وصول کرتا ہے"},{label:"شیڈولنگ",detail:"متعین یا مسلسل مدت کے ساتھ طے شدہ تاریخوں اور اوقات پر عمل"},{label:"فوری فعال/غیر فعال",detail:"دوبارہ ترتیب کی ضرورت نہیں"},{label:"کام کا ورژننگ",detail:"ترتیب اور اشارے کی تاریخ"},{label:"غیر تکنیکی صارفین کی تخلیق",detail:"تکنیکی علم کے بغیر آپریٹرز ذہین ایجنٹ انٹرفیس کے ذریعے مکمل JOB بناتے ہیں"}],params:[{param:"JOB تخلیق",value:"قدرتی زبان (متن یا آواز) — کوئی کوڈ نہیں"},{param:"زنجیر بندی",value:"STEP N، STEP N-1 کے علمی نتیجے کا استعمال کرتا ہے"},{param:"فی STEP ذرائع",value:"۱ یا زیادہ کیمرے + ۱ یا زیادہ آڈیو چینلز"},{param:"شیڈولنگ",value:"تاریخ، وقت، مدت اور تکرار قابل ترتیب"}]},{id:"s4",title:"۱.۴ پہچان اور درجہ بندی کی صلاحیتیں",type:"grouped",groups:[{label:"ویڈیو پر مبنی پہچان (کمپیوٹر وژن / ملٹی موڈل)",items:["ترتیب دیے گئے اشاروں کے مطابق متعلقہ صورت حال اور اعمال کی شناخت","دلچسپی کے افراد کی پہچان — خودکار واقعہ تعلق کے ساتھ واچ لسٹ","مشروط محرکات کے ساتھ افراد کی گنتی (X سے زیادہ / کم / بالکل X)","وقت کے ساتھ ۱ یا زیادہ افراد/گاڑیوں کو ٹریک کرنا","دوبارہ شناخت کے ساتھ ملٹی کیمرہ ٹریکنگ — کیمرہ A → N → B کے درمیان حرکت کو ٹریک کرتا ہے","راستے سے انحراف اور متوقع راستے کی خلاف ورزی کا پتہ لگانا","نمبر پلیٹ، سائن اور کیمرے میں دکھائی دینے والے متنی مواد کو پڑھنا","قابل ترتیب ہاتھ کے اشارے اور اشاروں کی زبان کے اشارے کی شناخت (جب اشارے میں تعریف کی گئی ہو)","جذباتی حالت اور تنازع سے پہلے کی جسمانی زبان کا پتہ لگانا"]},{label:"آڈیو پر مبنی پہچان (تقریر / آوازیں / ملٹی موڈل)",items:["ریئل ٹائم اور ریکارڈ شدہ آڈیو کا تجزیہ قابل اطلاق ہونے پر ٹرانسکرپشن (STT) کے ساتھ","اسپیکر ڈائرائزیشن — فی اسپیکر خلاصے اور پوری گفتگو کے خلاصے کے ساتھ اسپیکر علیحدگی اور شناخت","پیرامیٹرائزیشن کے مطابق بولے گئے کلیدی الفاظ کا پتہ لگانا","قابل ترتیب فقروں اور معنیاتی نمونوں کا پتہ لگانا","واقعے کی علامت تقریر کے نمونوں کا پتہ لگانا — فوریت، تنازع، تکرار","آڈٹ کے لیے متعلقہ حصوں کو نمایاں کرنا"]},{label:"الرٹ سسٹم",items:["پوری شدہ شرط کا الرٹ — مثال: 'نقطہ A پر X افراد کا گروہ پایا گیا'","نہ پوری ہونے والی شرط کا الرٹ — مثال: 'فرد وقت T میں کیمرہ Y سے نہیں گزرا'","مرحلے کی ترتیب منطق کے ساتھ الرٹ — قابل ترتیب ملٹی پوائنٹ ورک فلو","قابل ترتیب محرکات، وقت کی ونڈوز اور باہمی تعلق کے معیار","قابل ترتیب شدت کی سطحیں، وصول کنندگان اور اطلاع کے چینلز","الرٹ سے منسلک شواہد — فریم، ویڈیو کلپ، آڈیو حصے","الرٹ لائف سائیکل ریکارڈ — تیار، بھیجا، وصول اور بند"]}]},{id:"s5",title:"۱.۵ سیاق و سباق سازی اور شواہد کی تیاری",type:"capabilities",items:[{label:"خودکار سیاق و سباق وضاحت",detail

45:"ہر پہچانے گئے واقعے کے لیے قدرتی زبان میں تیار کی جاتی ہے"},{label:"منظم میٹا ڈیٹا",detail:"ذریعہ، تاریخ/وقت، منطقی مقام، واقعے کی قسم، شدت"},{label:"خودکار باہمی تعلق",detail:"وہی فرد، وہی علاقہ، وہی وقفہ — متعدد ذرائع کے درمیان"},{label:"شواہد نکالنا",detail:"فریم، ویڈیو کلپ، آڈیو حصے، پہچانا گیا متن"},{label:"استنتاج کی قابل ردیابی",detail:"تمام پہچانوں کے لاگ اور آڈٹ"},{label:"آپریشنل رپورٹیں",detail:"مکمل آڈٹ ٹریل"}]},{id:"s6",title:"۱.۶ قدرتی زبان آپریشن",desc:"کوئی بھی آپریٹر — تکنیکی تربیت کے بغیر — متن یا آواز کا استعمال کرتے ہوئے مکمل JOB بنا، ترتیب دے اور چلا سکتا ہے۔ کوئی پروگرامنگ، اسکرپٹ یا بیرونی ٹولز نہیں۔",type:"capabilities",items:[{label:"قدرتی زبان کے سوالات",detail:"سیاق و سباق سے جوابات کے ساتھ سوالات"},{label:"متن اور آواز کے احکام",detail:"کام بنانا، ترمیم اور فعال کرنا"},{label:"اشارے سے مکمل ترتیب",detail:"نگرانی، الرٹ، محرکات اور وصول کنندگان"},{label:"حکمرانی کنٹرول",detail:"اہم اعمال کے لیے تصدیق، پروفائل کے مطابق پابندیاں"},{label:"آڈٹ ٹریل",detail:"تمام احکام اور تبدیلیوں کا ریکارڈ"}]},{id:"s7",title:"۱.۷ بیرونی انضمام — API اور Webhook",type:"capabilities",items:[{label:"خودکار Webhook فائرنگ",detail:"متعین شرائط کی بنیاد پر بیرونی API کالز"},{label:"غیر تکنیکی آپریٹر ترتیب",detail:"قدرتی زبان کے اشارے کے ذریعے"},{label:"منظم پے لوڈ",detail:"JSON میں میٹا ڈیٹا اور شواہد"},{label:"بیرونی کالز میں تصدیق",detail:"ٹوکن، چابیاں، دستخط اور اجازت کی فہرستیں"},{label:"درخواست آڈٹ",detail:"تمام بیرونی کالز کا مکمل لاگ"},{label:"ناکامی کا انتظام",detail:"دوبارہ کوشش، قطاریں اور لاگ"},{label:"باہمی تعاملیت",detail:"ڈیش بورڈ، پیغام رسانی، ریکارڈ اور انتظامی نظام"}],params:[{param:"پروٹوکول",value:"REST API + Webhooks"},{param:"پے لوڈ",value:"میٹا ڈیٹا، شواہد اور سیاق و سباق کے ساتھ منظم JSON"},{param:"تصدیق",value:"ٹوکن، چابیاں، دستخط اور اجازت کی فہرستیں"},{param:"آڈٹ",value:"تمام بیرونی کالز کا مکمل لاگ"}]},{id:"s8",title:"۱.۸ استعمال کے میٹرکس اور لاگت کا انتظام",type:"capabilities",items:[{label:"فی JOB/STEP میٹرکس",detail:"تفصیلی ریکارڈنگ اور دستیابی"},{label:"فی کیمرہ/آڈیو چینل میٹرکس",detail:"ذریعے کے مطابق انفرادی استعمال"},{label:"فی صارف/پروفائل میٹرکس",detail:"آپریٹر کے مطابق استعمال کی ٹریکنگ"},{label:"ٹوکن اور درخواست گنتی",detail:"تاخیر کے ساتھ تخمینی اور حقیقی قدریں"},{label:"جہت کے مطابق لاگت",detail:"JOB، کیمرہ اور صارف"},{label:"کوٹہ اور لاگت مراکز",detail:"کوٹہ اور محکمے کے مطابق علیحدگی کی حمایت"}]},{id:"s9",title:"۱.۹ ہارڈ ویئر کی ضروریات",type:"params",params:[{param:"GPU",value:"ضروری نہیں — تینوں پلیٹ فارم میں سے کوئی بھی نہیں"},{param:"GPU (F.A.S.T.-AI)",value:"کچھ پیچیدہ خلاف ورزیوں اور ہائی وے حادثہ روکتھام SBC حل کے لیے استعمال کیا جاتا ہے"},{param:"خصوصی ہارڈ ویئر",value:"ضروری نہیں — موجودہ انفراسٹرکچر کے ساتھ انضمام"},{param:"کیمرے",value:"کوئی تبدیلی نہیں — نصب کسی بھی آلے کے ساتھ مطابقت"},{param:"سپورٹ شدہ OS",value:"Windows (مقامی مطابقت)"},{param:"تعیناتی",value:"آن پریمسز، عوامی/نجی کلاؤڈ (قومی علاقہ) یا ہائبرڈ"},{param:"فعال سازی",value:"مہینے نہیں، دن — زیادہ سے زیادہ ۷ کاری دنوں میں پائلٹ لاگو کیا جا سکتا ہے"}]},{id:"s10",title:"۱.۱۰ معلوماتی سلامتی، حکمرانی اور ڈیٹا تحفظ",type:"capabilities",items:[{label:"RBAC رسائی کنٹرول",detail

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45,{label:"DVR / NVR / NAS",detail:"Leitura de equipamentos já instalados no cliente"},{label:"Importação em massa",detail:"Excel ou CSV com metadados das câmeras (IP, fabricante, usuário, senha, porta etc.)"},{label:"Operação standalone",detail:"Totalmente local via rede interna — sem exposição de streams à internet"},{label:"Segurança de rede",detail:"Vedada abertura de portas para acesso remoto ou configuração de túneis/NAT"},{label:"Escalabilidade",detail:"1 a N câmeras/canais de áudio em paralelo"},{label:"Disponibilidade de streams",detail:"Monitoramento e recuperação automática após falhas"}]},{id:"s3",title:"1.3 Orquestração de Tarefas — JOB / STEP",desc:"Sistema de automação inteligente que substitui operadores humanos em rotinas de vigilância. Criado por prompts em linguagem natural — sem código, sem programação.",type:"capabilities",items:[{label:"JOB (tarefa)",detail:"Unidade de monitoramento que lê 1 ou N câmeras/canais e age conforme condições definidas"},{label:"STEP (etapa)",detail:"Cada JOB é composto por múltiplas etapas encadeadas; o resultado de uma câmera (output) alimenta a próxima (input)"},{label:"Múltiplas fontes por etapa",detail:"Cada STEP pode acionar 1 ou mais câmeras e/ou 1 ou mais canais de áudio"},{label:"Encadeamento inteligente",detail:"Dependência cognitiva entre etapas; o fluxo muda com base no resultado anterior"},{label:"Decisões condicionais nativas",detail:"Ramificações, interrupção, repetição ou escalamento baseados em resultado real"},{label:"Prompt por canal",detail:"Cada câmera ou canal de áudio recebe um prompt específico dentro do mesmo JOB (execução, alerta e negativa)"},{label:"Agendamento",detail:"Execução em dias e horários programados, com duração definida ou ininterrupta"},{label:"Ativação/desativação instantânea",detail:"Sem necessidade de reconfiguração"},{label:"Versionamento de tarefas",detail:"Histórico de configurações e prompts"},{label:"Criação por leigos",detail:"Operadores sem conhecimento técnico criam JOBs completos via interface com auxílio de agente inteligente"}],params:[{param:"Criação de JOBs",value:"Linguagem natural (texto ou voz) — sem código"},{param:"Encadeamento",value:"STEP N usa resultado cognitivo do STEP N-1"},{param:"Fontes por STEP",value:"1 ou mais câmeras + 1 ou mais canais de áudio"},{param:"Agendamento",value:"Data, hora, duração e recorrência configuráveis"}]},{id:"s4",title:"1.4 Capacidades de Detecção e Classificação",type:"grouped",groups:[{label:"Detecção baseada em vídeo (visão computacional / multimodal)",items:["Identificação de situações e ações relevantes conforme prompts configurados","Reconhecimento de indivíduos de interesse — watchlist com associação automática de eventos","Contagem de pessoas com gatilhos condicionais (mais de X / menos de X / exatamente X)","Rastreamento (tracking) de 1 ou múltiplos indivíduos/veículos ao longo do tempo","Rastreamento multi-câmera com reidentificação — acompanha deslocamento entre câmeras A → N → B","Detecção de desvio de rota e violação de trajeto esperado","Leitura de placas, cartazes e conteúdo textual visível na câmera","Identificação de gestos manuais configuráveis e gestos em Libras (quando definido em prompt)","Detecção de estado emocional e linguagem corporal de pré-conflito"]},{label:"Detecção baseada em áudio (fala / sons / multimodal)",items:["Análise de áudio em tempo real e gravado com transcrição (STT) quando aplicável","Diarização — separação e identificação de locutores com resumo por locutor e resumo da conversa toda","Detecção de palavras-chave faladas conforme parametrização","Detecção de frases e padrões semânticos configuráveis","Detecção de padrões de fala indicativos de ocorrência — urgência, conflito, repetição","Realce de trechos relevantes para auditoria"]},{label:"Sistema de alertas",items:["Alerta por condição satisfeita — ex.: 'grupo com X indivíduos detectado no ponto A'","Alerta por condição NÃO satisfeita — ex.: 'indivíduo não passou pela câmera Y no prazo T'","Alertas com lógica de sequência de passagens — workflow multipoint configurável","Gatilhos, janelas temporais e critérios de correlação parametrizáveis","Níveis de severidade, destinatários e canais de notificação configuráveis","Evidências anexadas aos alertas — frames, clipes de vídeo, segmentos de áudio","Registro do ciclo de vida do alerta — geração, encaminhamento, recebimento e encerramento"]}]},{id:"s5",title:"1.5 Contextualização e Geração de Evidências",type:"capabilities",items:[{label:"Descrição contextual automática",detail

45:"Gerada em linguagem natural para cada evento detectado"},{label:"Metadados estruturados",detail:"Fonte, data/hora, local lógico, tipo de evento, severidade"},{label:"Correlação automática",detail:"Mesmo indivíduo, mesma área, mesmo intervalo — entre múltiplas fontes"},{label:"Extração de evidências",detail:"Frames, clipes de vídeo, segmentos de áudio, texto reconhecido"},{label:"Rastreabilidade de inferências",detail:"Logs e auditoria de todas as detecções"},{label:"Relatórios operacionais",detail:"Trilha de auditoria completa"}]},{id:"s6",title:"1.6 Operação por Linguagem Natural",desc:"Qualquer operador — sem formação técnica — cria, configura e opera JOBs completos usando texto ou voz. Não há programação, scripts ou ferramentas externas.",type:"capabilities",items:[{label:"Consultas em linguagem natural",detail:"Perguntas com respostas contextualizadas"},{label:"Comandos por texto e voz",detail:"Criação, edição e ativação de tarefas"},{label:"Configuração completa por prompt",detail:"Monitoramentos, alertas, gatilhos e destinatários"},{label:"Controles de governança",detail:"Confirmação para ações críticas, restrições por perfil"}

45,{label:"Trilha de auditoria",detail:"Registro de todos os comandos e alterações"}]},{id:"s7",title:"1.7 Integrações Externas — API e Webhook",type:"capabilities",items:[{label:"Disparo automático de webhooks",detail:"Chamadas a APIs externas baseadas em condições definidas"},{label:"Configuração por operadores leigos",detail:"Via prompt em linguagem natural"},{label:"Payload estruturado",detail:"Metadados e evidências em JSON"},{label:"Autenticação nas chamadas externas",detail:"Tokens, chaves, assinaturas e listas de permissão"},{label:"Auditoria de requisições",detail:"Log completo de todas as chamadas externas"},{label:"Tratamento de falhas",detail:"Retries, filas e logs"},{label:"Interoperabilidade",detail:"Painéis, mensageria, sistemas de registro e gestão"}],params:[{param:"Protocolo",value:"API REST + Webhooks"},{param:"Payload",value:"JSON estruturado com metadados, evidências e contexto"},{param:"Autenticação",value:"Tokens, chaves, assinaturas e listas de permissão"},{param:"Auditoria",value:"Log completo de todas as chamadas externas"}]},{id:"s8",title:"1.8 Métricas de Consumo e Gestão de Custos",type:"capabilities",items:[{label:"Métricas por JOB/STEP",detail:"Registro e disponibilização detalhados"},{label:"Métricas por câmera/canal de áudio",detail:"Consumo individualizado por fonte"},{label:"Métricas por usuário/perfil",detail:"Rastreamento de uso por operador"},{label:"Contagem de tokens e requests",detail:"Estimativa e valores reais com latência"},{label:"Custos por dimensão",detail:"JOB, câmera e usuário"},{label:"Cotas e centros de custo",detail:"Suporte a quotas e segregação por departamento"}]},{id:"s9",title:"1.9 Requisitos de Hardware",type:"params",params:[{param:"GPU",value:"Não exigida — nenhuma das três plataformas"},{param:"GPU (F.A.S.T.-AI)",value:"Utilizada para algumas infrações complexas e solução SBC de prevenção de acidentes em rodovias"},{param:"Hardware proprietário",value:"Não exigido — integra com parque existente"},{param:"Câmeras",value:"Sem substituição — compatível com qualquer equipamento instalado"},{param:"SO suportado",value:"Windows (compatibilidade nativa)"},{param:"Implantação",value:"On-premises, nuvem pública/privada (território nacional) ou híbrido"},{param:"Ativação",value:"Dias, não meses — piloto implantável em até 7 dias úteis"}]},{id:"s10",title:"1.10 Segurança da Informação, Governança e LGPD",type:"capabilities",items:[{label:"Controle de acesso RBAC",detail:"Segregação de funções e menor privilégio"},{label:"Trilhas de auditoria completas",detail:"Logs de operação, comandos, alterações de configuração e prompts"},{label:"Proteção de dados",detail:"Em trânsito e em repouso"},{label:"Políticas de retenção e descarte",detail:"Pseudonimização/anonimização quando aplicável"},{label:"Gestão de perfis de acesso",detail:"Restrições operacionais por nível"},{label:"Conformidade com LGPD",detail:"Minimização, finalidade, necessidade e prestação de contas"},{label:"Armazenamento de credenciais",detail:"Windows Credential Manager/DPAPI ou equivalente — vedado texto simples"}]},{id:"s11",title:"1.11 Disponibilidade e Continuidade Operacional",type:"capabilities",items:[{label:"Operação 24×7",detail:"Monitoramento contínuo sem interrupção"},{label:"Recuperação automática",detail:"Retomada após falhas de stream sem intervenção"},{label:"Resiliência a quedas de conectividade",detail:"Reprocessamento de conteúdo gravado"},{label:"Filas e reprocessamento",detail:"Garantia de cobertura sem lacunas"},{label:"Alta disponibilidade",detail:"Redundância, replicação e balanceamento quando configurados"}]},{id:"s12",title:"1.12 Integração com Rede Cooperativa Privada",desc:"Capacidade exclusiva do ecossistema AiQuimist: câmeras privadas de usuários voluntários participam automaticamente de buscas públicas — sem transmitir vídeo, sem abrir portas de rede.",type:"capabilities",items:[{label:"Distribuição gratuita",detail:"Solução para ambiente Windows distribuível a usuários privados em todo o País"}

45,{label:"Mecanismo de pareamento",detail:"Código de ativação, vinculação e revogação de dispositivo"},{label:"Endpoints autorizados",detail:"Apenas endpoints autorizados podem consumir ou publicar dados/eventos"},{label:"Detecção e notificação local",detail:"Análise ocorre no computador do usuário privado"},{label:"Notificação de correspondência",detail:"Automática à plataforma central quando há match com watchlist"},{label:"Alerta estruturado",detail:"Imagem/recorte com overlay, data/hora, câmera, endereço completo, GPS, nível de confiança, identificador"},{label:"Algoritmos Re-ID",detail:"Reidentificação e, quando aplicável e autorizado, reconhecimento facial"},{label:"Participação voluntária",detail:"O usuário decide se ativa a cooperação e quais câmeras participam"},{label:"Privacidade por design",detail:"Nenhuma porta aberta, nenhum stream transmitido continuamente"},{label:"LGPD integral",detail:"Análise local, compartilhamento apenas do resultado relevante"}]}],platforms:[{id:"drakon",product:"Perceptrum Corporate",color:"#00E5CC",icon:"🏛",tagline:"Inteligência institucional para operações públicas e ambientes de missão crítica",sections:[{title:"2.1 Foco e Escopo de Operação",desc:"Plataforma voltada para o setor público, institucional e corporativo de alta criticidade. Opera sobre redes de câmeras de grande escala.",type:"list",items:["Prefeituras, governos estaduais e federais","Forças policiais, guardas municipais e secretarias de segurança","Centros integrados de comando e controle (CIOPs)","Presídios e unidades prisionais","Aeroportos, portos e terminais","Fronteiras e infraestrutura crítica nacional","Empresas públicas e grandes corporações privadas de operação complexa","Grandes empresas privadas: bancos, logística e outras"]},{title:"2.2 Infraestrutura Exclusiva",type:"params",params:[{param:"Onde roda",value:"Servidores do próprio cliente (on-premise)"},{param:"Segurança de dados",value:"100% interno — nenhuma informação exposta à internet"},{param:"GPU",value:"Não exigida"},{param:"Servidores",value:"Convencionais — dedicados ao banco de dados e leitura simultânea de câmeras"},{param:"Escala",value:"Redes institucionais de grande porte — dezenas a milhares de câmeras"}]},{title:"2.3 Detecções Específicas",type:"list",items:["Movimentações suspeitas em perímetros, acessos e ambientes críticos","Comportamentos incompatíveis com áreas sensíveis","Invasões e tentativas de acesso não autorizado","Conflitos e situações de violência","Tentativas de fuga em unidades de custódia","Presença de armas","Abandono de objetos em locais de risco","Alterações bruscas de padrão comportamental","Concentração anormal de pessoas em pontos críticos","Situações de risco em missão crítica — aeroportos, fronteiras, presídios","Motor Temporal: executa prompt e o sistema segue sem interferência humana"]},{title:"2.4 Coordenação da Rede Cooperativa",type:"list",items:["Dispara buscas e rastreamentos que se propagam para toda a malha pública e privada cooperante","Recebe notificações automáticas do Perceptrum quando há match com watchlist","Coordena operações integradas entre espaço público, viário (F.A.S.T.) e privado (Perceptrum)","Centraliza alertas, evidências e trilha de rastreamento de toda a rede integrada"]},{title:"2.5 Modelo Comercial",type:"params",params:[{param:"Licenciamento",value:"Institucional — contrato com órgão público ou corporação"},{param:"Implantação",value:"On-premise nos servidores do cliente"},{param:"Suporte",value:"Onboarding e configuração incluídos"},{param:"Piloto",value:"Implantável em até 7 dias úteis sobre infraestrutura existente"}]}]},{id:"perceptrum",product:"Perceptrum Personal",color:"#9B30FF",icon:"🏢",tagline:"Inteligência multimodal para o ambiente privado — do lar à grande corporação",sections:[{title:"2.6 Foco e Escopo de Operação",desc:"Plataforma voltada para o setor privado, comercial, residencial e condominial. Democratiza o acesso à inteligência de monitoramento avançado.",type:"list",items:["Residências e casas","Condomínios e edifícios residenciais e comerciais","Pequenos e médios comércios","Redes de varejo e lojas","Bancos e agências financeiras","Shopping centers e estacionamentos","Escolas e universidades privadas","Hospitais e clínicas privadas","Indústrias e galpões logísticos","Fazendas e propriedades rurais"]},{title:"2.7 Infraestrutura Exclusiva",type:"params",params:[{param:"On

45de roda",value:"Computador pessoal do usuário (doméstico ou corporativo)"},{param:"Processador mínimo",value:"Intel i5 ou superior"},{param:"GPU",value:"Não exigida"},{param:"Armazenamento",value:"Espaço em disco para imagens temporárias em análise"},{param:"DVR/NVR",value:"Leitura nativa para buscas em gravações anteriores"},{param:"Ativação",value:"Minutos — importação de câmeras via CSV e início imediato"}]},{title:"2.8 Detecções Específicas",type:"list",items:["Movimentações fora do padrão em horários ou locais incomuns","Furtos, roubos e assaltos — comportamentos típicos de subtração","Presença indevida em áreas restritas","Risco perimetral e tentativas de invasão","Pedidos de ajuda — gestos e comportamentos de socorro","Abandono de objetos suspeitos","Anormalidades operacionais em processos (logística, estoque, entregas)","Verificação automatizada de processos: veículo, placa, entregador, contagem de volumes","Eventos configuráveis por tipo de ambiente — perfil de cada instalação","Localiza infrator de medida protetiva (Maria da Penha etc.)"]},{title:"2.9 Cooperação Voluntária (exclusivo Perceptrum)",type:"list",items:["Flag de cooperação voluntária — o proprietário decide se ativa e quais câmeras participam","Quando ativado: câmera passa a participar de buscas emitidas pelo Perceptrum Corporate ou F.A.S.T.-AI","Análise executada localmente — no computador do próprio usuário privado","Nenhum stream de vídeo transmitido continuamente à central pública","Nenhuma porta de rede aberta externamente","Somente o resultado (match) é enviado à central — não as imagens","Alerta inclui: 

45imagem do indivíduo plotado, data/hora, câmera, endereço, GPS, nível de confiança","Participação revogável a qualquer momento pelo proprietário","Conformidade integral com LGPD — privacidade por design arquitetural"]},{title:"2.10 Modelo Comercial",type:"params",params:[{param:"Versão gratuita",value:"Funcionalidades básicas de monitoramento — sem custo, sem cartão de crédito"},{param:"Versão premium",value:"Acesso completo — licença mensal acessível"},{param:"Cooperação pública",value:"Gratuita para o usuário privado — custo pago pelo órgão público por consulta"},{param:"Custo para o Estado",value:"Centavos por busca — pago apenas quando a busca é acionada"},{param:"Distribuição",value:"Distribuível a usuários privados em todo o País"}]}]},{id:"fast-ai",product:"F.A.S.T.-AI",color:"#00AAFF",icon:"🚦",tagline:"Inteligência territorial, mobilidade e leitura dinâmica do espaço urbano",sections:[{title:"2.11 Foco e Escopo de Operação",desc:"Plataforma voltada para mobilidade, trânsito, ordenamento urbano e interpretação dinâmica do território.",type:"list",items:["Secretarias e departamentos municipais de trânsito e mobilidade","Centros de operação urbana (COUs)","Departamentos de obras e planejamento urbano","Órgãos de fiscalização de trânsito","Gestores de grandes eventos públicos","Concessionárias de rodovias e estacionamentos","Forças de segurança pública — rastreamento de veículos e operações viárias"]},{title:"2.12 Infraestrutura Exclusiva",type:"params",params:[{param:"Onde roda",value:"Servidores das empresas responsáveis por trânsito e ordenamento urbano"},{param:"GPU",value:"Não exigida (exceto análise de infrações complexas e SBC de prevenção de acidentes em rodovias)"},{param:"Armazenamento",value:"Baixo — lê diretamente NAS, DVR, NVR ou streaming existente"},{param:"Fontes compatíveis",value:"Câmeras públicas de vias, semáforos, radares fixos e móveis — qualquer padrão"},{param:"Escala",value:"Malha viária urbana completa — bairros, corredores, cidades"}]},{title:"2.13 Detecções Específicas",type:"list",items:["Infrações de trânsito — geração automática de multas com evidências","Acidentes e atropelamentos — detecção e notificação imediata","Formação de congestionamentos — detecção precoce antes do colapso","Bloqueios e desvios de via","Ocupação irregular do espaço público","Eventos atípicos que afetam a mobilidade urbana","Riscos operacionais em vias e áreas estratég

45icas","Padrões de fluxo, zonas críticas e recorrências","Rastreamento de veículos suspeitos — placa, modelo, cor, trajeto","Concentração e densidade de pessoas em vias e espaços públicos","Perseguição automática se solicitado pelo operador"]},{title:"2.14 Inteligência Territorial (exclusivo F.A.S.T.-AI)",type:"list",items:["Análise de padrões de fluxo veicular e de pedestres por horário, dia e zona","Identificação de zonas críticas e recorrências de incidentes","Apoio a decisões de planejamento viário e urbano com dados reais","Painel de gestão territorial em tempo real para secretários e gestores","Suporte à gestão de grandes eventos — densidade, fluxo, riscos de tumulto","Geração de informação estratégica contínua sobre o comportamento do território"]},{title:"2.15 Modelo Comercial",type:"params",params:[{param:"Licenciamento",value:"Municipal / estadual — contrato com órgão público de mobilidade ou segurança"},{param:"Implantação",value:"Servidores da prefeitura ou concessionária — sobre infraestrutura existente"},{param:"ROI direto",value:"Receita gerada por multas automáticas supera custo da plataforma"},{param:"Piloto",value:"Implantável em até 7 dias úteis sobre câmeras públicas existentes"}]}]}],comparison:{title:"Resumo Comparativo das Três Plataformas",rows:[{feature:"Foco principal",drakon:"Setor público e missão crítica",perceptrum:"Setor privado e residencial",fast:"Trânsito e ordenamento urbano"},{feature:"Onde roda",drakon:"Servidores do cliente (on-premise)",perceptrum:"Computador pessoal (i5+)",fast:"Servidores municipais/concessionária"},{feature:"GPU necessária",drakon:"❌ Não",perceptrum:"❌ Não",fast:"❌ Não (exceto SBC)"},{feature:"Substituição de câmeras",drakon:"❌ Não exigida",perceptrum:"❌ Não exigida",fast:"❌ Não exigida"},{feature:"Análise ao vivo (24/7)",drakon:"✅ Sim",perceptrum:"✅ Sim",fast:"✅ Sim"},{feature:"Pós-processamento gravado",drakon:"✅ Sim (DVR/NVR/NAS)",perceptrum:"✅ Sim (DVR/NVR/NAS)",fast:"✅ Sim (DVR/NVR/NAS)"},{feature:"JOBs por linguagem natural",drakon:"✅ Sim",perceptrum:"✅ Sim",fast:"✅ Sim"},{feature:"Integração API/Webhook",drakon:"✅ Sim",perceptrum:"✅ Sim",fast:"✅ Sim"},{feature:"Rastreamento multi-câmera",drakon:"✅ Sim",perceptrum:"✅ Sim",fast:"✅ Sim"},{feature:"Rede cooperativa privada",drakon:"✅ Coordena buscas",perceptrum:"✅ Participa (voluntário)",fast:"✅ Coordena buscas viárias"},{feature:"Versão gratuita disponível",drakon:"❌ Não",perceptrum:"✅ Sim (básico)",fast:"❌ Não"},{feature:"PoC disponível",drakon:"✅ Sim",perceptrum:"❌ Não",fast:"✅ Sim"},{feature:"Multas automáticas",drakon:"❌ Não é o foco",perceptrum:"❌ Não é o foco",fast:"✅ Sim — geração automática"},{feature:"Inteligência territorial",drakon:"Operacional institucional",perceptrum:"Operacional privada",fast:"✅ Territorial e urbana"},{feature:"LGPD compliant",drakon:"✅ Sim",perceptrum:"✅ Sim (por design)",fast:"✅ Sim"},{feature:"Tempo de ativação piloto",drakon:"Até 7 dias úteis",perceptrum:"Minutos",fast:"Até 7 dias úteis"}]}},en:{hero:{badge:"Technical Specifications",title:"Technical Specs",subtitle:"Perceptrum Corporate · Perceptrum Personal · F.A.S.T.-AI",desc:"Structured technical document for evaluation, procurement and integration processes. All specifications for the three AiQuimist platforms — shared capabilities and exclusive differentiators.",part1:"PART 1 — Core Specs",part1sub:"Capabilities present across all three platforms",part2:"PART 2 — Exclusive Specs",part2sub:"Platform-specific features and differentiators",part3:"Comparative Summary"},copy:"Copy table",copied:"Copied!",yes:"✅ Yes",no:"❌ No",feature:"Feature",capacity:"Capability",detail:"Detail",param:"Parameter",value:"Value",sections:[{id:"s1",title:"1.1 AI Engine — Universal Multimodal Interpretation",desc:"AiQuimist platform that simultaneously analyzes video, audio, text and image to extract real context and identify relevant situations.",type:"capabilities",items:[{label:"🎥 Video",detail

45:"Real-time analysis of live cameras and recordings. Recognizes scenes, objects, behaviors, movements and patterns."},{label:"🔊 Audio",detail:"Detection of speech, keywords, semantic patterns, tone of voice, urgency, conflict and configurable sounds of interest."},{label:"📄 Text & Image",detail:"Upload and analysis of files (video, image, audio, text). Evidence extraction, metadata and cross-source correlation."},{label:"Native temporal processing",detail:"Analyzes movement fluidity, not just isolated frames"},{label:"Massive context window",detail:"Maintains memory of long video/audio periods for event correlation"},{label:"Real-time analysis (live)",detail:"Camera streams and audio channels 24×7"},{label:"Post-processing",detail:"Same detection criteria applied to archives and recorded files: NVR, DVR, NAS"},{label:"Digital file upload",detail:"Video, image, audio and text for correlated multimodal analysis"},{label:"Emotional state identification",detail:"Reading of body language, tone of voice and behavioral signals"},{label:"AI provider abstraction",detail:"Configurable endpoints, credentials and limits; provider swap with minimal impact"}]},{id:"s2",title:"1.2 Camera and Source Ingestion",type:"mixed",items:[{label:"Universal compatibility",detail:"Any camera regardless of brand, manufacturer, model or generation"},{label:"Analog and digital",detail:"No hardware replacement required"},{label:"Primary protocol",detail:"RTSP, ONVIF and equivalent HTTP/file methods"},{label:"DVR / NVR / NAS",detail:"Reads equipment already installed at client site"},{label:"Bulk import",detail:"Excel or CSV with camera metadata (IP, manufacturer, user, password, port, etc.)"},{label:"Standalone operation",detail:"Fully local via internal network — no stream exposure to the internet"},{label:"Network security",detail:"No open ports for remote access or NAT/tunnel configurations"},{label:"Scalability",detail:"1 to N cameras/audio channels in parallel"},{label:"Stream availability",detail:"Monitoring and automatic recovery after failures"}]},{id:"s3",title:"1.3 Task Orchestration — JOB / STEP",desc:"Intelligent automation system that replaces human operators in surveillance routines. Created using natural language prompts — no code, no programming.",type:"capabilities",items:[{label:"JOB (task)",detail:"Monitoring unit that reads 1 or N cameras/channels and acts on defined conditions"},{label:"STEP (stage)",detail:"Each JOB consists of multiple chained stages; the result of one camera (output) feeds the next (input)"},{label:"Multiple sources per stage",detail:"Each STEP can trigger 1 or more cameras and/or 1 or more audio channels"},{label:"Intelligent chaining",detail:"Cognitive dependency between stages; flow changes based on previous result"},{label:"Native conditional decisions",detail:"Branches, interruption, repetition or escalation based on real result"},{label:"Prompt per channel",detail:"Each camera or audio channel receives a specific prompt within the same JOB (execution, alert and negative)"},{label:"Scheduling",detail:"Execution on scheduled days and times, with defined or continuous duration"},{label:"Instant activation/deactivation",detail:"No reconfiguration required"},{label:"Task versioning",detail:"History of configurations and prompts"}

45,{label:"Created by non-technical users",detail:"Operators without technical knowledge create complete JOBs via unified interface with intelligent agent assistance"}],params:[{param:"JOB creation",value:"Natural language (text or voice) — no code"},{param:"Chaining",value:"STEP N uses cognitive result of STEP N-1"},{param:"Sources per STEP",value:"1 or more cameras + 1 or more audio channels"},{param:"Scheduling",value:"Date, time, duration and recurrence configurable"}]},{id:"s4",title:"1.4 Detection and Classification Capabilities",type:"grouped",groups:[{label:"Video-based detection (computer vision / multimodal)",items:["Identification of relevant situations and actions per configured prompts","Recognition of persons of interest — watchlist with automatic event association","People counting with conditional triggers (more than X / less than X / exactly X)","Tracking of 1 or multiple individuals/vehicles over time","Multi-camera tracking with re-identification — follows displacement between cameras A → N → B","Route deviation detection and expected trajectory violation","Reading of license plates, signs and textual content visible in camera","Identification of configurable hand gestures and sign language gestures (when defined in prompt)","Emotional state detection and pre-conflict body language"]},{label:"Audio-based detection (speech / sounds / multimodal)",items:["Real-time and recorded audio analysis with transcription (STT) when applicable","Diarization — speaker separation and identification with per-speaker and full-conversation summaries","Spoken keyword detection per parameterization","Detection of configurable phrases and semantic patterns","Detection of speech patterns indicating occurrences — urgency, conflict, repetition","Highlighting of relevant excerpts for auditing"]},{label:"Alert system",items:["Alert on condition met — e.g.: 'group with X individuals detected at point A'","Alert on condition NOT met — e.g.: 'individual did not pass camera Y within timeframe T'","Alerts with passage sequence logic — configurable multipoint workflow","Configurable triggers, time windows and correlation criteria","Configurable severity levels, recipients and notification channels","Evidence attached to alerts — frames, video clips, audio segments","Alert lifecycle recording — generation, routing, receipt and closure"]}]},{id:"s5",title:"1.5 Contextualization and Evidence Generation",type:"capabilities",items:[{label:"Automatic contextual description",detail:"Generated in natural language for each detected event"},{label:"Structured metadata",detail:"Source, date/time, logical location, event type, severity"},{label:"Automatic correlation",detail:"Same individual, same area, same interval — across multiple sources"},{label:"Evidence extraction",detail:"Frames, video clips, audio segments, recognized text"},{label:"Inference traceability",detail:"Logs and auditing of all detections"},{label:"Operational reports",detail:"Complete audit trail"}]},{id:"s6",title:"1.6 Natural Language Operation",desc:"Any operator — without technical training — creates, configures and operates complete JOBs using text or voice. No programming, scripts or external tools.",type:"capabilities",items:[{label:"Natural language queries",detail:"Questions with contextualized responses"},{label:"Text and voice commands",detail:"Task creation, editing and activation"},{label:"Complete configuration via prompt",detail:"Monitoring, alerts, triggers and recipients"},{label:"Governance controls",detail:"Confirmation for critical actions, profile-based restrictions"},{label:"Audit trail",detail:"Record of all commands and changes"}]},{id:"s7",title:"1.7 External Integrations — API and Webhook",type:"capabilities",items:[{label:"Automatic webhook triggering",detail:"External API calls based on defined conditions"}

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45SBC accident prevention solution on highways"},{param:"Proprietary hardware",value:"Not required — integrates with existing infrastructure"},{param:"Cameras",value:"No replacement — compatible with any installed equipment"},{param:"Supported OS",value:"Windows (native compatibility)"},{param:"Deployment",value:"On-premises, cloud public/private (national territory) or hybrid"},{param:"Activation",value:"Days, not months — pilot deployable within 7 business days"}]},{id:"s10",title:"1.10 Information Security, Governance and Data Protection",type:"capabilities",items:[{label:"RBAC access control",detail:"Function segregation and least privilege"},{label:"Complete audit trails",detail:"Operation logs, commands, configuration changes and prompts"},{label:"Data protection",detail:"In transit and at rest"},{label:"Retention and disposal policies",detail:"Pseudonymization/anonymization when applicable"},{label:"Access profile management",detail:"Operational restrictions by level"},{label:"GDPR/LGPD compliance",detail:"Minimization, purpose, necessity and accountability"},{label:"Credential storage",detail:"Windows Credential Manager/DPAPI or equivalent — plain text storage prohibited"}]},{id:"s11",title:"1.11 Availability and Operational Continuity",type:"capabilities",items:[{label:"24×7 operation",detail:"Continuous monitoring without interruption"}

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74ando mochilas, sacolas ou embrulhos","Monitoramento de perímetros e zonas restritas com alertas automáticos de invasão","Identificação de veículos com placas em listas de restrição ou mandados de busca","Análise de fluxo de pedestres para identificar situações de pânico ou fuga","Detecção de armas e objetos cortantes em feeds de câmeras","Reconhecimento de pessoas em situação de vulnerabilidade (quedas, desmaios, agressões)"]},{type:"callout",icon:"🔍",text:"Plataformas como o Perceptrum Corporate combinam mais de 40 modelos de IA em camadas, permitindo detectar situações de risco com precisão acima de 95% e latência inferior a 200 milissegundos."},{type:"heading",level:2,text:"Da Reatividade à Prevenção Preditiva"},{type:"paragraph",text:"O avanço mais significativo não é a detecção em tempo real — é a capacidade preditiva. Algoritmos treinados com dados históricos de criminalidade conseguem identificar padrões que antecedem crimes: horários de maior incidência por bairro, comportamentos recorrentes de suspeitos, correlação entre eventos (como shows e disputas por território) e roubos."},{type:"paragraph",text:"Isso permite que as secretarias de segurança pública reposicionem viaturas e agentes preventivamente, antes que chamados de emergência cheguem. Estudos em cidades dos EUA e Europa que adotaram vigilância preditiva reportam reduções de 15% a 30% em certos tipos de crime."},{type:"heading",level:2,text:"Integração com Centros de Operações (COPs e CIOPs)"},{type:"paragraph",text:"Um dos grandes gargalos da segurança pública brasileira é a comunicação entre diferentes órgãos — Polícia Militar, Civil, Guarda Municipal, Bombeiros, SAMU. Plataformas de IA modernas se integram nativamente a sistemas de despacho, CAD (Computer-Aided Dispatch) e rádios digitais, criando um fluxo unificado de informação."},{type:"paragraph",text:"Quando um sistema detecta uma situação de risco, ele automaticamente cria um incidente, anexa o clipe de vídeo relevante, geolocaliza a ocorrência no mapa do centro de operações e sugere os recursos mais próximos para atendimento — tudo em segundos."},{type:"heading",level:2,text:"Privacidade, LGPD e o Debate Ético"},{type:"paragraph",text:"A implantação de IA em vigilância pública levanta questões legítimas de privacidade e direitos civis. No Brasil, a LGPD (Lei Geral de Proteção de Dados) e resoluções do CNJ estabelecem diretrizes para o uso de reconhecimento facial em espaços públicos. As plataformas responsáveis operam com criptografia de dados biométricos, auditorias de acesso, bases legais documentadas e capacidade de exclusão de registros mediante solicitação."},{type:"paragraph",text:"O debate não é sobre se usar IA na segurança pública, mas como fazê-lo com responsabilidade, transparência e governança adequada. Cidades que implementaram frameworks de compliance rigorosos conseguem capturar os benefícios da tecnologia mantendo a confiança da população."},{type:"heading",level:2,text:"O Caminho para as Cidades Brasileiras"},{type:"paragraph",text:"A trajetória de adoção para municípios brasileiros geralmente segue três fases: (1) integração das câmeras existentes em uma plataforma centralizada com análise de IA, sem necessidade de substituição de hardware; (2) treinamento das equipes de monitoramento e ajuste dos modelos de IA para as especificidades locais; e (3) expansão para integração com outros sistemas urbanos como semáforos, alarmes e rádio policial."},{type:"callout",icon:"📊",text:"O retorno sobre investimento em plataformas de IA para segurança pública é mensurável: redução de horas extras de monitoramento humano, aumento na taxa de resolução de crimes (pelo acesso a evidências de melhor qualidade) e diminuição do tempo de resposta a incidentes."}]},{slug:"cidades-inteligentes-ia-transformacao-urbana",title:"Cidades Inteligentes: O que São e Como a IA Acelera Essa Transformação",excerpt:"Smart cities não são só tecnologia — são uma nova filosofia de gestão urbana. Entenda os pilares, os de

74safios e como a IA conecta infraestrutura, dados e cidadãos em uma rede inteligente.",category:"Smart Cities",categorySlug:"smart-cities",date:"2025-04-04",readTime:"10 min",tags:["smart cities","cidades inteligentes","gestão urbana","IA","infraestrutura"],accentColor:"#9B30FF",content:[{type:"paragraph",text:"Mais de 55% da população mundial vive em cidades — e esse número chegará a 70% em 2050. No Brasil, a urbanização já ultrapassa 87%. Cidades que não evoluírem sua capacidade de gestão inteligente enfrentarão crises crescentes de mobilidade, segurança, meio ambiente e serviços públicos. É nesse contexto que o conceito de Smart City deixou de ser utopia tecnológica para se tornar necessidade estratégica."},{type:"heading",level:2,text:"O que Faz uma Cidade ser Inteligente?"},{type:"paragraph",text:"Uma cidade inteligente não se define pela quantidade de câmeras ou sensores que possui — mas pela capacidade de transformar dados em decisões mais rápidas e melhores. Os seis pilares fundamentais de uma smart city são: governança inteligente, mobilidade inteligente, meio ambiente inteligente, economia inteligente, pessoas inteligentes e habitação inteligente."},{type:"paragraph",text:"O denominador comum entre todos esses pilares é a coleta, análise e uso de dados em tempo real para otimizar o funcionamento urbano. E é aqui que a inteligência artificial entra como elemento habilitador central."},{type:"heading",level:2,text:"O Papel da IA na Infraestrutura Urbana"},{type:"paragraph",text:"A IA não é apenas mais uma camada tecnológica — ela é o sistema nervoso que dá sentido à quantidade de dados que a cidade moderna produz. Sensores de tráfego, câmeras de vigilância, medidores de consumo de energia, estações meteorológicas, GPS de frotas e aplicativos municipais geram volumes de dados impossíveis de analisar manualmente."},{type:"list",items:["Gestão de tráfego adaptativa: semáforos que ajustam seus ciclos em tempo real com base no fluxo de veículos","Detecção precoce de riscos de enchente: análise de dados de chuva, nível de rios e histórico de alagamentos","Otimização da coleta de lixo: rotas dinâmicas baseadas em sensores de nível em caçambas","Iluminação pública inteligente: ajuste automático de intensidade baseado em presença de pedestres e nível de luminosidade","Monitoramento de qualidade do ar e alertas para grupos de risco","Manutenção preditiva de infraestrutura: pontes, pavimentação e redes de água"]},{type:"heading",level:2,text:"O Conceito de Cidade Federada"},{type:"paragraph",text:"Um dos maiores desafios das smart cities é a fragmentação: cada secretaria compra seu próprio sistema, cria seu próprio silo de dados e não se comunica com os demais. O resultado é que a cidade tem muita tecnologia, mas pouca inteligência integrada."},{type:"paragraph",text:"O conceito de cidade federada resolve esse problema com uma arquitetura que permite que sistemas diferentes — câmeras da segurança pública, sensores de trânsito, dados do SAMU, informações do corpo de bombeiros — compartilhem uma camada de análise centralizada, mantendo a autonomia de cada secretaria."},{type:"callout",icon:"🌐",text:"Plataformas federadas como o F.A.S.T.-AI permitem que municípios comecem com os sistemas que já possuem e progressivamente integrem novas fontes de dados, sem migrações complexas ou substituição de infraestrutura existente."},{type:"heading",level:2,text:"O Case das Câmeras Inteligentes na Gestão Urbana"},{type:"paragraph",text:"As câmeras já existem em grande número nas cidades brasileiras — o problema é que são usadas majoritariamente como arquivo histórico pós-incidente. Quando integradas a plataformas de IA, as mesmas câmeras passam a funcionar como sensores multifuncionais: contam veículos, identificam tipos de ocorrências, medem fluxo de pedestres, detectam situações de emergência e alimentam dashboards de gestão em tempo real."},{type:"paragraph",text:"Uma câmera integrada a uma plataforma de IA pode substituir múltiplos sensores dedicados, reduzindo o custo total de instrumentação da cidade enquanto entrega muito mais valor operacional."},{type:"heading",level:2,text:"Desafios Reais de Implantação no Brasil"},{type:"paragraph",text:"A realidade dos municípios brasileiros tem peculiaridades que projetos de smart city precisam respeitar: orçamentos limitados e ciclos orçamentários anuais que dificultam investimentos de longo prazo; conectividade de fibra concentrada em capitais e ausente em municípios médios; limitações de capacitação técnica nas equipes municipais; e framework regulatório em evolução, especialmente no que tange ao uso de biometria em espaços públicos."},{type:"list",items:["Comece com o que você tem: integre câmeras e sensores existentes antes de comprar mais hardware","Priorize casos de uso com ROI mensurável e prazo curto (segurança, trânsito)","Estabeleça governança de dados clara desde o início — quem acessa o quê e com qual finalidade","Invista em capacitação das equipes: a tecnologia só funciona se houver pessoas para interpretá-la","Escolha plataformas com arquitetura aberta para evitar lock-in tecnológico"]},{type:"heading",level:2,text:"O Futuro: Cidades que Aprendem"},{type:"paragraph",text:"A próxima fronteira das smart cities não é apenas coletar e analisar dados — é aprender continuamente. Sistemas de IA que incorporam feedback operacional ficam progressivamente mais precisos e adaptados às especificidades de cada cidade. Uma plataforma 

74implantada em Manaus vai desenvolver, ao longo do tempo, modelos calibrados para as condições climáticas da Amazônia, os padrões de criminalidade locais e o comportamento de tráfego específico daquela região."},{type:"quote",text:"A cidade inteligente não é um produto que se compra — é uma capacidade que se constrói, dado a dado, incidente a incidente, ao longo do tempo.",source:"Princípio de design do F.A.S.T.-AI"}]},{slug:"visao-computacional-cameras-inteligentes",title:"Visão Computacional: A Tecnologia por Trás das Câmeras que Pensam",excerpt:"Como algoritmos de deep learning transformam pixels em significado — e por que isso muda tudo para a segurança e a gestão urbana.",category:"Tecnologia & IA",categorySlug:"tecnologia",date:"2025-03-28",readTime:"7 min",tags:["visão computacional","deep learning","computer vision","redes neurais","câmeras IA"],accentColor:"#00AAFF",content:[{type:"paragraph",text:"Uma câmera captura luz e a converte em pixels. Por décadas, isso foi tudo que câmeras faziam. A visão computacional muda essa realidade: hoje, algoritmos de deep learning conseguem extrair significado de imagens com precisão igual ou superior à do olho humano — e em velocidades que nenhum ser humano conseguiria igualar."},{type:"heading",level:2,text:"O que é Visão Computacional?"},{type:"paragraph",text:"Visão computacional (Computer Vision, ou CV) é o campo da inteligência artificial dedicado a fazer máquinas 'enxergarem' e interpretarem imagens e vídeos. Não se trata apenas de reconhecer objetos — mas de entender contexto, relações espaciais, movimento, comportamento e, cada vez mais, intenção."},{type:"paragraph",text:"A revolução das redes neurais convolucionais (CNNs) a partir de 2012 transformou a visão computacional de uma área experimental em tecnologia de produção. Hoje, modelos como YOLO, ResNet e Vision Transformers (ViTs) conseguem identificar centenas de objetos e situações em tempo real em hardware comum."},{type:"heading",level:2,text:"As Cinco Camadas da Percepção Visual por IA"}

74,{type:"list",items:["Detecção de objetos: identifica e localiza elementos em uma imagem (pessoas, veículos, armas, objetos abandonados)","Classificação: categoriza o que foi detectado (carro × motocicleta, homem × mulher, correndo × caminhando)","Rastreamento: acompanha um objeto ou pessoa ao longo do tempo, mesmo que saia e retorne ao campo de visão","Análise de pose e comportamento: interpreta posturas corporais e padrões de movimento (agressão, queda, hesitação suspeita)","Reconhecimento de identidade: vincula um rosto ou silhueta a uma identidade específica em uma base de dados"]},{type:"heading",level:2,text:"Como Funciona na Prática: Edge vs. Cloud"},{type:"paragraph",text:"Um sistema de visão computacional para segurança pode processar dados de duas formas: na borda (edge computing), onde a análise acontece diretamente na câmera ou em um servidor local próximo, e na nuvem, onde dados são enviados para processamento centralizado. Soluções modernas usam arquitetura híbrida: análises mais simples na borda (detecção de movimento, contagem de pessoas) e análises complexas na nuvem (reconhecimento facial, análise comportamental)."},{type:"callout",icon:"⚡",text:"Sistemas como o Perceptrum Corporate operam com latência inferior a 200ms do momento da detecção até o alerta no centro de operações — crucial para situações onde segundos fazem diferença."},{type:"heading",level:2,text:"Modelos de IA para Segurança: Treinamento e Calibração"},{type:"paragraph",text:"Um modelo de visão computacional genérico funciona bem em condições de laboratório. No mundo real da segurança urbana, o desempenho depen

74de criticamente do treinamento com dados do contexto de uso. Um modelo treinado com imagens de câmeras de rua européias pode ter dificuldades com as condições de iluminação e densidade urbana das cidades brasileiras."},{type:"paragraph",text:"Por isso, plataformas sérias de segurança urbana incluem um processo de calibração contínua: o sistema aprende com os dados locais, reduz falsos positivos ao longo do tempo e adapta seus limiares de detecção às especificidades do ambiente monitorado."},{type:"heading",level:2,text:"Limitações que Todo Gestor Deve Conhecer"},{type:"paragraph",text:"Nenhuma tecnologia é perfeita, e honestidade sobre as limitações é crucial para expectativas corretas:"},{type:"list",items:["Condições de baixa luminosidade ainda reduzem a precisão, especialmente para reconhecimento facial","Câmeras de baixa resolução (inferiores a 2MP) limitam a capacidade de detecção de detalhes","Oclusão (quando um objeto cobre parcialmente outro) é um desafio para todos os modelos atuais","Ambientes muito movimentados (como estações de metrô no horário de pico) aumentam a taxa de falsos positivos","Nenhum sistema deve substituir completamente o julgamento humano — IA é uma ferramenta de apoio à decisão"]},{type:"heading",level:2,text:"O que Vem a Seguir"},{type:"paragraph",text:"As fronteiras da visão computacional estão se expandindo rapidamente. Modelos multimodais, que combinam visão com linguagem natural, permitem que operadores façam perguntas em português e recebam respostas do sistema de câmeras ('Mostra todos os incidentes envolvendo veículos vermelhos nessa câmera nas últimas 2 horas'). A convergência de IA de linguagem e visão promete transformar o monitoramento urbano novamente — desta vez, tornando o acesso à inteligência das câmeras tão simples quanto uma conversa."}]},{slug:"lgpd-vigilancia-urbana-municipios-brasileiros",title:"LGPD e Vigilância Urbana: O que Municípios Brasileiros Precisam Saber",excerpt:"O uso de câmeras inteligentes e reconhecimento facial em espaços públicos é legal no Brasil? Quais são as obrigações dos municípios? Um guia prático sobre compliance e privacidade.",category:"Tecnologia & IA",categorySlug:"tecnologia",date:"2025-03-18",readTime:"9 min",tags:["LGPD","privacidade","reconhecimento facial","compliance","direito digital","municípios"],accentColor:"#00AAFF",content:[{type:"paragraph",text:"A Lei Geral de Proteção de Dados (LGPD — Lei 13.709/2018) entrou em vigor em 2020 e trouxe um novo marco regulatório para o tratamento de dados pessoais no Brasil. Para municípios que operam ou pretendem operar sistemas de vigilância com câmeras inteligentes, entender as implicações da LGPD não é opcional — é uma condição para a implantação responsável e legalmente segura dessas tecnologias."},{type:"heading",level:2,text:"Dados Biométricos são Dados Sensíveis"},{type:"paragraph",text:"A LGPD classifica dados biométricos — incluindo imagens faciais usadas para identificação — como dados pessoais sensíveis. Isso significa que seu tratamento exige uma base legal específica e obrigações adicionais de proteção. Para municípios, as bases legais mais relevantes são: (a) cumprimento de obrigação legal ou regulatória pelo controlador; (b) exercício regular de direitos; e (c) proteção da vida ou da incolumidade física do titular ou de terceiro."},{type:"callout",icon:"⚖️",text:"O simples fato de um município operar câmeras em espaços públicos já o constitui como controlador de dados pessoais nos termos da LGPD, mesmo que não utilize reconhecimento facial."},{type:"heading",level:2,text:"Obrigações Práticas para Municípios"},{type:"list",items:["Nomear um Encarregado de Proteção de Dados (DPO — Data Protection Officer) responsável pelo programa de privacidade","Elaborar e publicar uma política de privacidade específica para os sistemas de vigilância","Realizar Relatório de Impacto à Proteção de Dados (RIPD) antes de implementar sistemas de reconhecimento facial","Estabelecer prazo de retenção dos vídeos e garantir eliminação automática ao final do prazo","Implementar controles de acesso para garantir que apenas pessoas autorizadas possam acessar imagens e dados","Manter registros de atividade de tratamento de dados atualizados","Notificar a ANPD e os titulares em c

74aso de incidente de segurança que possa causar dano"]},{type:"heading",level:2,text:"O Reconhecimento Facial em Espaços Públicos"},{type:"paragraph",text:"O uso de reconhecimento facial em tempo real em espaços públicos é a questão mais sensível e ainda a mais debatida no Brasil. Em 2022, o Tribunal de Justiça de São Paulo suspendeu um sistema de reconhecimento facial no Metrô de SP por violação à LGPD. O STJ e o CNJ também emitem orientações periódicas sobre o tema."},{type:"paragraph",text:"O uso para fins de segurança pública — busca de foragidos, por exemplo — tem respaldo na legislação de segurança, mas exige documentação rigorosa do processo, supervisão humana das decisões e não pode ser usado de forma discriminatória. A biometria passiva em massa (identificar toda pessoa que passa por uma câmera) é a modalidade com maior risco legal."},{type:"heading",level:2,text:"Boas Práticas que Reduzem o Risco Legal"},{type:"list",items:["Sinalização clara nos espaços monitorados informando sobre o uso de câmeras com IA","Uso de reconhecimento facial apenas por mandado ou ordem judicial expressa","Segregação de dados: imagens de câmeras comuns vs. dados biométricos tratados separadamente","Auditorias externas periódicas do sistema e de seus registros de acesso","Treinamento das equipes operacionais sobre limitações e responsabilidades legais","Contratos com fornecedores de tecnologia que inclua cláusulas de responsabilidade solidária"]},{type:"heading",level:2,text:"O Papel do Fornecedor de Tecnologia"},{type:"paragraph",text:"Ao contratar uma plataforma de vigilância com IA, o município assume a responsabilidade 

74como controlador dos dados. O fornecedor da tecnologia atua como operador. Isso significa que o contrato de fornecimento deve incluir obrigações específicas de proteção de dados: o fornecedor só pode tratar os dados para as finalidades contratadas, deve implementar medidas técnicas de segurança, e deve colaborar com auditorias e notificações de incidentes."},{type:"paragraph",text:"Fornecedores responsáveis oferecem contratos com cláusulas DPA (Data Processing Agreement) claras, documentação técnica sobre as medidas de segurança implementadas, e capacidade de demonstrar conformidade à ANPD se necessário."},{type:"heading",level:2,text:"A LGPD como Oportunidade, não Obstáculo"},{type:"paragraph",text:"Municipalidades que encaram a LGPD como inimiga da segurança pública têm a perspectiva invertida. O compliance com a lei de proteção de dados é o que permite construir confiança pública nas tecnologias de vigilância, fundamental para o sucesso político e operacional dos projetos. Cidades que implantam câmeras inteligentes com transparência, limites claros e governança visível colhem muito mais cooperação da população do que aquelas que operam na opacidade."}]},{slug:"analise-comportamental-ia-prevencao-crimes",title:"Análise Comportamental por IA: Como Antecipar Riscos antes que se Tornem Crimes",excerpt:"A próxima fronteira da segurança pública vai além de detectar o que está acontecendo — é prever o que está prestes a acontecer. Entenda como funciona a análise comportamental por IA.",category:"IA & Segurança Pública",categorySlug:"ia-seguranca",date:"2025-03-10",readTime:"8 min",tags:["análise comportamental","prevenção de crimes","IA preditiva","machine learning","segurança"],accentColor:"#00E5CC",content:[{type:"paragraph",text:"Existe um momento, nos segundos antes de um crime acontecer, em que a situação ainda pode ser revertida. Um segurança treinado sabe reconhecer isso intuitivamente — o nervosismo de quem está prestes a cometer um furto, o jeito de quem está buscando uma vítima em uma multidão, o momento em que uma discussão está escalando para violência física. A análise comportamental por IA busca codificar e automatizar exatamente essa capacidade."},{type:"heading",level:2,text:"Como a IA Aprende Comportamento"},{type:"paragraph",text:"Modelos de análise comportamental são treinados com enormes volumes de vídeo anotado: horas de situações normais (pessoas caminhando, comprando, esperando) e horas de situações de risco (furtos, agressões, vandalismo). O algoritmo aprende a distinguir padrões de movimento, postura corporal, velocidade, direção e relação entre múltiplas pessoas que correlacionam com comportamentos de risco."},{type:"callout",icon:"🧠",text:"Modelos avançados analisam não apenas posição e movimento, mas também micro-padrões como hesitação de passos, direção do olhar estimada por pose corporal, e padrões de aproximação entre indivíduos."},{type:"heading",level:2,text:"Tipos de Comportamento que Sistemas Modernos Detectam"},{type:"list",items:["Loitering (perambulação suspeita): pessoa circulando em área restrita ou sensível sem propósito aparente","Tail-gaiting: seguir alguém de perto de forma consistente, padrão associado a assédio e furto","Roteamento atípico: detectar quando alguém entra em um espaço por um caminho incomum, evitando câmeras","Escalada de conflito: sequência de posturas corporais que indicam discussão evoluindo para confronto físico","Comportamento de abandono de objeto: depositar algo e afastar rapidamente","Sinais de vulnerabilidade: pessoa que parece desorientada, tonta ou em sofrimento físico","Formação de grupo: aglomeração rápida de pessoas em padrão inconsistente com o ambiente (show vs. briga)"]},{type:"heading",level:2,text:"O Problema dos Falsos Positivos"},{type:"paragraph",text:"O maior desafio da análise comportamental não é a detecção — é a especificidade. Um sistema muito sensível gera tantos alertas que os operadores passam a ignorá-los (o famoso 'efeito Boy Who Cried Wolf'). Um sistema muito conservador perde situações de risco reais. O equilíbrio correto depende do ambiente: uma estação de metrô na hora do rush requer limiares diferentes de um museu à noite."},{type:"paragraph",text:"Plataformas maduras permitem ajuste granular de sensibilidade por câmera, horário e tipo de evento, com aprendizado contínuo baseado no feedback dos operadores. Quando um operador marca um alerta como falso positivo, o sistema aprende com aquele exemplo e melhora progressivamente."},{type:"heading",level:2,text:"Integração com Recursos em Campo"},{type:"paragraph",text:"Análise comportamental isolada tem valor limitado. O diferencial real vem da integração: quando o sistema detecta um padrão de risco, ele precisa acionar o recurso humano certo, da forma certa, na velocidade certa. Isso inclui alertas diretos para rádios de agentes em c

74ampo, despacho automático de viaturas mais próximas, registro automático do incidente com clipe de vídeo e geolocalização."},{type:"heading",level:2,text:"Considerações Éticas e Vieses Algorítmicos"},{type:"paragraph",text:"Análise comportamental levanta questões éticas sérias. O risco de viés algorítmico é real: se os dados de treinamento refletirem padrões históricos de policiamento que já eram discriminatórios, o modelo pode replicar e amplificar essas distorções. Um sistema que aprende que 'pessoa jovem, de determinada raça, em determinado bairro, às 23h' é suspeita pode perpetuar discriminações sistêmicas."},{type:"paragraph",text:"O uso ético da análise comportamental exige: conjuntos de dados de treinamento auditados para representatividade e viés; monitoramento contínuo do desempenho segmentado por grupos demográficos; supervisão humana obrigatória antes de qualquer ação operacional; e transparência sobre como o sistema funciona e é testado."},{type:"heading",level:2,text:"O Futuro: Análise Multimodal"},{type:"paragraph",text:"A próxima geração de análise comportamental vai além do vídeo: integração de dados de áudio (detectar sons de gritos, tiros, vidros quebrando), dados de redes sociais públicas para contexto de eventos, padrões de telefonia celular em espaços monitorados e dados históricos de incidentes para calibração preditiva. A convergência dessas fontes promete sistemas de prevenção de crimes significativamente mais precisos e menos intrusivos do que qualquer abordagem individual."}]},{slug:"cameras-tradicionais-agentes-inteligentes-salto-tecnologico",title:"De Câmeras Tradicionais a Agentes Inteligentes: O Salto Tecnológico da Segurança Privada",excerpt:"Como condomínios, empresas e estabelecimentos comerciais estão passando de câmeras de arquivo para sistemas de monitoramento autônomo que agem, alertam e aprendem.",category:"Casos de Uso",categorySlug:"casos-de-uso",date:"2025-03-01",readTime:"6 min",tags:["segurança privada","condomínios","câmeras inteligentes","monitoramento autônomo","Perceptrum"],accentColor:"#CC44DD",content:[{type:"paragraph",text:"O mercado de segurança privada no Brasil movimenta mais de R$ 80 bilhÃ

74µes por ano e emprega cerca de 1,5 milhão de vigilantes. A grande maioria das câmeras instaladas — estimadas em mais de 60 milhões no país — funciona como arquivo: grava tudo, mas raramente alguém assiste ao vídeo antes de um incidente acontecer. Esse modelo está chegando ao seu limite."},{type:"heading",level:2,text:"O Modelo Antigo: Câmeras como Arquivo"},{type:"paragraph",text:"O funcionamento tradicional de um sistema de CFTV (Circuito Fechado de Televisão) é simples: câmeras gravam em loop, imagens são armazenadas por 30 a 90 dias e, em caso de incidente, a gravação é consultada retroativamente. A presença de um vigilante humano diante dos monitores adiciona alguma capacidade de resposta em tempo real, mas é limitada pela atenção humana e pelo custo da mão de obra."},{type:"paragraph",text:"Esse modelo tem custos crescentes (salários de vigilantes, manutenção de câmeras, armazenamento) e eficácia decrescente (vigilantes com horas de trabalho monitorando câmeras têm atenção que degrada rapidamente). O resultado é o que pesquisadores chamam de 'segurança ilusória': a aparência de proteção sem a substância."},{type:"heading",level:2,text:"O Novo Modelo: Agentes de Vigilância Autônomos"},{type:"paragraph",text:"Plataformas de segurança com IA transformam as câmeras existentes em agentes autônomos de vigilância. Em vez de uma câmera passiva, o sistema passa a ter uma câmera ativa: ela detecta, classifica, rastreia, alerta e registra — automaticamente, sem intervenção humana constante."},{type:"callout",icon:"🔐",text:"Com plataformas como o Perceptrum, um único operador pode gerenciar centenas de câmeras com eficácia superior à de uma equipe de vigilantes humanos monitorando dezenas — a um custo operacional muito menor."},{type:"heading",level:2,text:"Casos de Uso na Segurança Privada"},{type:"list",items:["Condomínios residenciais: detecção de intrusos no perímetro, reconhecimento de moradores e visitantes autorizados, alerta de veículos desconhecidos","Estabelecimentos comerciais: detecção de furto (comportamento de esconder produtos), alerta de aglomeração suspeita, monitoramento de caixas e áreas de estoque","Galpões e armazéns: controle de acesso por reconhecimento, detecção de presença em horários não autorizados, monitoramento de ativos","Hospitais e clínicas: detecção de pacientes em situação de risco (quedas, convulsões), controle de acesso a áreas restritas","Bancos e agências: detecção de comportamento suspeito na fila, monitoramento de cofres e terminais, alerta de capacetes e objetos que obstruem a face","Escolas e universidades: detecção de objetos proibidos, monitoramento de perímetro, identificação de pessoas não autorizadas"]},{type:"heading",level:2,text:"A Transição para Pequenas e Médias Empresas"},{type:"paragraph",text:"Durante anos, IA para segurança foi acessível apenas para grandes corporações com orçamentos de TI robustos. A democratização da computação em nuvem e a queda no custo de processamento de IA mudaram isso. Hoje, um estabelecimento médio pode acessar capacidades de análise que antes eram exclusivas de grandes bancos ou aeroportos, por um custo mensal compatível com o salário de um vigilante."},{type:"paragraph",text:"O modelo SaaS (Software as a Service) elimina a necessidade de investimento inicial em infraestrutura: o estabelecimento mantém suas câmeras existentes, instala um agente de software e passa a ter análise de IA ativa. O hardware físico pode ser atualizado progressivamente, priorizando as áreas de maior risco."},{type:"heading",level:2,text:"ROI Concreto: o que Medir"},{type:"list",items:["Redução de perdas por furto: comparação de inventário antes e depois da implantação","Custo de vigilância humana reduzida: horas de vigilante substituídas por monitoramento autônomo","Tempo de resposta a incidentes: comparação entre modelo manual e com alertas automáticos","Taxa de resolução de incidentes: melhoria na qualidade das evidências disponíveis para investigação","Prêmios de seguro: seguradoras oferecem descontos de 10-25% para estabelecimentos com sistemas certificados de monitoramento inteligente"]},{type:"paragraph",text:"A transição de câmeras passivas para agentes inteligentes não é uma questão de se, mas de quando. Para estabelecimentos que dependem de segurança — e todos dependem — a questão é qual será o custo de esperar."}]},{slug:"reconhecimento-facial-seguranca-publica-etica-tecnologia",title:"Reconhecimento Facial em Segurança Pública: Usos, Limites e o Debate Ético no Brasil",excerpt:"O reconhecimento facial é uma das tecnologias mais poderosas e controversas da segurança moderna. Entenda como funciona, onde é eficaz e onde encontra seus limites legais e éticos.",category:"IA & Segurança Pública",categorySlug:"ia-seguranca",date:"2025-02-20",readTime:"9 min",tags:["reconhecimento facial","biometria","ética em IA","segurança pública","direitos civis"],accentColor:"#00E5CC",content:[{type:"paragraph",text:"Em 2019, a Polícia Civil de São Paulo usou reconhecimento facial para 

74identificar e prender um foragido da Justiça no Carnaval — a primeira prisão com essa tecnologia no Brasil. Desde então, a adoção do reconhecimento facial em segurança pública cresceu rapidamente, junto com o debate sobre seus limites e riscos. Entender essa tecnologia — o que ela faz bem, o que ela faz mal e onde ela não deveria ser usada — é essencial para gestores de segurança pública."},{type:"heading",level:2,text:"Como Funciona o Reconhecimento Facial"},{type:"paragraph",text:"Reconhecimento facial é um subconjunto da visão computacional que analisa características geométricas únicas do rosto humano — distância entre os olhos, formato do nariz, contorno da mandíbula — para criar uma representação matemática chamada embedding facial. Esse embedding pode ser comparado a outros embeddings em uma base de dados para determinar se há correspondência com uma identidade conhecida."},{type:"paragraph",text:"Sistemas modernos operam em dois modos: verificação (confirmar que uma pessoa é quem diz ser, como em controle de acesso) e identificação (determinar quem é uma pessoa desconhecida em uma imagem). O segundo modo — identificação — é o mais sensível do ponto de vista legal e ético."},{type:"heading",level:2,text:"Onde o Reconhecimento Facial é Eficaz"},{type:"list",items:["Busca de foragidos: comparação de imagens de câmeras com bancos de mandados — alta eficácia com supervisão humana","Controle de acesso em áreas seguras: verificação de identidade em pontos específicos (aeroportos, instalações críticas)","Identificação de vítimas: reconhecimento em situações de emergência ou desastres","Investigação pós-incidente: busca retrospectiva em acervo de vídeo para identificar suspeitos já conhecidos","Deduplicação de cadastros: identificar se uma mesma pessoa está cadastrada múltiplas vezes em sistemas públicos"]},{type:"heading",level:2,text:"Onde os Limites são Críticos"},{type:"paragraph",text:"As limitações técnicas do reconhecimento facial são bem documentadas e têm implicações diretas para seu uso em segurança pública. Estudos do NIST (Instituto Nacional de Padrões e Tecnologia dos EUA) mostram que a taxa de erro varia significativamente por faixa etária, gênero e, especialmente, etnia — com taxas de falsa correspondência até 100x maiores para pessoas negras em alguns sistemas."},{type:"callout",icon:"⚠️",text:"Uma taxa de falso positivo de 0,1% parece pequena — mas em uma cidade com 1 milhão de câmeras e 1 bilhão de análises por dia, significa potencialmente 1 milhão de correspondências incorretas."},{type:"heading",level:2,text:"O Debate Brasileiro: Entre Eficiência e Direitos"},{type:"paragraph",text:"O debate brasileiro sobre reconhecimento facial em espaços públicos está longe de resolvido. De um lado, forças de segurança argumentam que a tecnologia aumenta significativamente a capacidade de identificação de criminosos e terroristas. De outro, organizações de direitos civis e especialistas em tecnologia apontam os riscos de discriminação, erro judicial e vigilância em massa."},{type:"paragraph",text:"A posição mais defensável juridicamente e eticamente é a do uso controlado: reconhecimento facial como ferramenta de apoio à investigação, com resultados sempre revisados por um humano antes de qualquer ação, e com proibição de uso para identificação em massa de cidadãos sem suspeita individualizada."},{type:"heading",level:2,text:"O Framework de Uso Responsável"},{type:"list",items:["Apenas para crimes graves (lista taxativa definida em lei ou decreto)","Resultado de reconhecimento facial é lead investigativo, nunca prova ou base suficiente para prisão","Revisão humana obrigatória por servidor habilitado antes de qualquer ação","Registro detalhado de cada consulta, com motivo, executor e resultado","Auditoria periódica das taxas de acerto e erro por grupo demográfico","Vedação de uso para manifestações políticas, protestos e atividades sindicais","Prazo máximo de retenção dos dados biométricos coletados"]},{type:"paragraph",text:"O caminho à frente para o reconhecimento facial em segurança pública brasileira passa por legislação específica — ainda ausente — que estabeleça claramente o que pode e não pode ser feito, com fiscalização independente e punições efetivas para uso indevido. 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Diferentemente de algoritmos tradicionais baseados em regras fixas, agentes de IA adaptam seu comportamento com base em aprendizado contínuo. Na segurança pública, agentes de IA monitoram feeds de câmeras em tempo real, detectam anomalias e acionam alertas sem intervenção humana constante.",relatedTerms:["Machine Learning","Inferência em Tempo Real","Modelo de IA"],seenIn:["Perceptrum Corporate","F.A.S.T.-AI"]},{term:"Aprendizado de Máquina",slug:"aprendizado-de-maquina",category:"ia-ml",shortDef:"Subcampo da IA onde sistemas aprendem padrões a partir de dados sem programação explícita.",fullDef:"Aprendizado de Máquina (Machine Learning) é um ramo da inteligência artificial que permite aos computadores aprender e melhorar automaticamente por meio da experiência, sem serem explicitamente programados para cada tarefa. Os algoritmos analisam grandes volumes de dados históricos, identificam padrões e constroem modelos preditivos. Na segurança pública, algoritmos de ML são treinados com milhares de horas de vídeo para reconhecer comportamentos suspeitos, identificar veículos, detectar aglomerações anormais e antecipar ocorrências.",relatedTerms:["Deep Learning","Treinamento de Modelo","Rede Neural"],seenIn:["Perceptrum Corporate","Perceptrum Personal"]},{term:"Deep Learning",slug:"deep-learning",category:"ia-ml",shortDef:"Técnica de ML usando redes neurais profundas com múltiplas camadas para extrair representações complexas.",fullDef:"Deep Learning é uma subárea do aprendizado de máquina que utiliza redes neurais artificiais com múltiplas camadas (profundas) para modelar abstrações complexas em dados. Inspirado na estrutura do cérebro humano, o Deep Learning revolucionou tarefas como reconhecimento de imagem, processamento de linguagem natural e detecção de objetos. Modelos como CNNs (Redes Neurais Convolucionais) e Transformers são a base das principais soluções de visão computacional aplicadas à segurança pública.",relatedTerms:["Rede Neural Convolucional","Transformer","Aprendizado de Máquina"],seenIn:["Perceptrum Corporate","Perceptrum Personal","F.A.S.T.-AI"]},{term:"Modelo de IA",slug:"modelo-de-ia",category:"ia-ml",shortDef:"Representação matemática treinada capaz de fazer previsões ou classificações sobre novos dad

74os.",fullDef:"Um modelo de IA é o resultado de um processo de treinamento: uma representação matemática aprendida a partir de dados que pode ser aplicada para fazer previsões, classificações ou recomendações sobre dados novos. Modelos podem ser simples (regressão logística) ou extremamente complexos (redes neurais com bilhões de parâmetros). Na prática de segurança pública, diferentes modelos são combinados — um para detecção de objetos, outro para rastreamento, outro para análise comportamental — formando um pipeline de IA.",relatedTerms:["Inferência em Tempo Real","Treinamento de Modelo","Pipeline de IA"]},{term:"Inferência em Tempo Real",slug:"inferencia-em-tempo-real",category:"ia-ml",shortDef:"Execução de modelos de IA com latência mínima para processar dados ao vivo.",fullDef:"Inferência em Tempo Real é a capacidade de executar modelos de inteligência artificial com latência suficientemente baixa para processar dados ao vivo — como streams de vídeo — e produzir resultados em milissegundos. É o que diferencia um sistema de análise de vídeo pós-evento de um sistema de monitoramento ativo: a inferência em tempo real permite detectar uma ameaça e alertar operadores enquanto o evento ainda está acontecendo. Requer hardware especializado (GPUs, NPUs, aceleradores de IA) e modelos otimizados (quantização, pruning).",relatedTerms:["GPU","Latência","Agente de IA"],seenIn:["Perceptrum Corporate","F.A.S.T.-AI"]},{term:"Treinamento de Modelo",slug:"treinamento-de-modelo",category:"ia-ml",shortDef:"Processo de ajuste dos parâmetros de uma rede neural usando dados rotulados para minimizar erros.",fullDef:"Treinamento de Modelo é o processo pelo qual um modelo de machine learning aprende a partir de dados. Durante o treinamento, o algoritmo ajusta iterativamente seus parâmetros internos (pesos) para minimizar a diferença entre suas previsões e os resultados corretos (rótulos). No contexto de segurança pública, treinar um modelo de detecção de comportamento suspeito requer um corpus de dados de vídeos anotados — uma tarefa que pode demandar meses e enormes recursos computacionais, além de expertise em domínio específico.",relatedTerms:["Dataset","Overfitting","Fine-tuning"]},{term:"Fine-tuning",slug:"fine-tuning",category:"ia-ml",shortDef:"Adaptação de um modelo pré-treinado para uma tarefa específica com dados de domínio.",fullDef:"Fine-tuning é a técnica de pegar um modelo de IA pré-treinado em um grande dataset genérico e ajustá-lo com um conjunto menor de dados específicos de domínio. Isso reduz drasticamente o custo e o tempo de desenvolvimento: em vez de treinar do zero, o modelo parte de um conhecimento base amplo e é especializado para a tarefa desejada. Na segurança pública, um modelo de visão computacional treinado em ImageNet pode ser ajustado com dados de câmeras de segurança urbana para detectar veículos roubados ou comportamentos específicos.",relatedTerms:["Transferência de Aprendizado","Dataset","Treinamento de Modelo"]},{term:"Rede Neural Convolucional (CNN)",slug:"rede-neural-convolucional",category:"ia-ml",shortDef:"Arquitetura de rede neural especializada no processamento de dados em grade, como imagens.",fullDef:"Redes Neurais Convolucionais (CNNs) são uma classe de redes neurais profundas especialmente eficazes no processamento de dados com estrutura espacial, como imagens e vídeos. Elas utilizam operações de convolução para extrair hierarquicamente características visuais — bordas, texturas, formas, objetos completos. São a tecnologia central por trás de sistemas de detecção de objetos (YOLO, SSD, EfficientDet), reconhecimento facial e análise de vídeo em segurança pública.",relatedTerms:["Deep Learning","Detecção de Objetos","YOLO"]},{term:"LLM (Large Language Model)",slug:"llm",category:"ia-ml",shortDef:"Modelo de linguagem de grande escala capaz de compreender e gerar texto com fluência humana.",fullDef:"Large Language Models são modelos de inteligência artificial treinados em enormes corpora de texto com bilhões ou trilhões de parâmetros, capazes de compreender e gerar linguagem natural com alta fluência. Exemplos incluem GPT-4, Claude, Gemini e Llama. Na segurança pública, LLMs são utilizados em assistentes de despacho de emergência, análise de relatórios de ocorrências, síntese automática de boletins e no componente de voz de agentes de IA como o Perceptrum Intelligence.",relatedTerms:["Perceptrum Intelligence","Processamento de Linguagem Natural","Transformer"],seenIn:["Perceptrum Intelligence"]},{term:"Processamento de Linguagem Natural (PLN)",slug:"processamento-de-linguagem-natural",category:"ia-ml",shortDef:"Campo da IA que permite a máquinas compreender, interpretar e gerar linguagem humana.",fullDef:"Processamento de Linguagem Natural (PLN ou NLP, do inglês Natural Language Processing) é a área da inteligência artificial que trata da interação entre computadores e a linguagem humana. Engloba tarefas como análise de sentimento, tradução automática, extração de entidades, reconhecimento de fala e geração de texto. Em sistemas de segurança pública, PLN é usado para analisar chamadas de emergência, transcrever comunicações de rádio, processar boletins de ocorrência e permitir consultas em linguagem natural a bancos de dados de incidentes.",relatedTerms:["LLM","Reconhecimento de Fala","Análise de Sentimento"],seenIn:["Perceptrum Intelligence"]},{term:"Visão Computacional",slug:"visao-computacional",category:"visao-computacional",shortDef:"Campo da IA que permite a máquinas 

74interpretar e compreender informações visuais do mundo real.",fullDef:"Visão Computacional é o campo interdisciplinar que trata de como computadores podem ser programados para interpretar e compreender o conteúdo visual do mundo real — imagens digitais, vídeos e dados de câmeras. Utiliza algoritmos de processamento de imagem, aprendizado de máquina e redes neurais profundas para realizar tarefas como classificação de imagens, detecção e rastreamento de objetos, segmentação semântica e análise de comportamento. É a tecnologia fundamental por trás das câmeras inteligentes modernas usadas na segurança pública.",relatedTerms:["Detecção de Objetos","Reconhecimento Facial","Análise de Comportamento"],seenIn:["Perceptrum Corporate","Perceptrum Personal"]},{term:"Detecção de Objetos",slug:"deteccao-de-objetos",category:"visao-computacional",shortDef:"Técnica de visão computacional que identifica e localiza objetos específicos em imagens ou vídeos.",fullDef:"Detecção de Objetos é uma técnica de visão computacional que identifica e localiza instâncias de objetos de categorias predefinidas em imagens ou frames de vídeo, geralmente delimitando-os com bounding boxes e atribuindo um rótulo e score de confiança. Algoritmos populares incluem YOLO (You Only Look Once), SSD (Single Shot Detector) e Faster R-CNN. Na segurança pública, é usada para detectar pessoas, veículos, armas, bagagens abandonadas e outros elementos de interesse em tempo real.",relatedTerms:["YOLO","Rastreamento de Objetos","Segmentação"],seenIn:["Perceptrum Corporate"]},{term:"Rastreamento de Objetos (Object Tracking)",slug:"rastreamento-de-objetos",category:"visao-computacional",shortDef:"Capacidade de seguir a trajetória de objetos específicos ao longo de frames consecutivos de vídeo.",fullDef:"Rastreamento de Objetos é a tarefa de identificar e seguir a posição e trajetória de um ou múltiplos objetos ao longo de uma sequência de frames de vídeo. Algoritmos como SORT, DeepSORT, ByteTrack e OC-SORT atribuem identidades persistentes a cada objeto detectado, permitindo acompanhar seu movimento mesmo em casos de oclusão parcial ou mudanças de iluminação. Em sistemas de vigilância inteligente, o rastreamento permite seguir uma pessoa suspeita através de múltiplas câmeras.",relatedTerms:["Detecção de Objetos","Re-identificação de Pessoa","Análise de Comportamento"],seenIn:["Perceptrum Corporate"]},{term:"Reconhecimento Facial",slug:"reconhecimento-facial",category:"visao-computacional",shortDef:"Tecnologia biométrica que identifica ou verifica indivíduos por meio de características do rosto.",fullDef:"Reconhecimento Facial é uma tecnologia biométrica que usa algoritmos de visão computacional e aprendizado profundo para identificar ou verificar a identidade de indivíduos com base em características faciais. O processo envolve detecção do rosto na imagem, extração de características (embeddings faciais) e comparação com uma base de dados. Em segurança pública, é aplicado para identificar pessoas em listas de procurados ou desaparecidos. Seu uso levanta importantes questões éticas e legais, especialmente em relação à LGPD e ao viés algorítmico.",relatedTerms:["Biometria","LGPD","Viés Algorítmico"],seenIn:["Perceptrum Corporate"]},{term:"Análise de Comportamento",slug:"analise-de-comportamento",category:"visao-computacional",shortDef:"Interpretação automática de padrões de movimento e ação de pessoas ou veículos para detectar anomalias.",fullDef:"Análise de Comportamento (Behavioral Analytics) é a capacidade de sistemas de visão computacional de interpretar e classificar padrões de movimento, postura, interação e ação de pessoas ou veículos em cenas de vídeo. Vai além da simples detecção de objetos: o sistema compreende o que está acontecendo — uma briga, uma queda, alguém rondando uma área restrita, veículo em contramão. Baseada em modelos de aprendizado profundo treinados em grandes datasets de vídeo anotados com comportamentos específicos.",relatedTerms:["Detecção de Anomalias","Rastreamento de Objetos","Agente de IA"],seenIn:["Perceptrum Corporate","F.A.S.T.-AI"]}

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É fundamental para o rastreamento em espaços urbanos com múltiplas câmeras e para investigações pós-evento.",relatedTerms:["Rastreamento de Objetos","Reconhecimento Facial","Multi-câmera"],seenIn:["Perceptrum Corporate"]},{term:"Segmentação de Instâncias",slug:"segmentacao-de-instancias",category:"visao-computacional",shortDef:"Técnica que identifica e delineia com precisão pixel a pixel cada objeto em uma cena.",fullDef:"Segmentação de Instâncias é uma tarefa avançada de visão computacional que vai além da detecção de objetos: em vez de apenas delimitar objetos com retângulos (bounding boxes), ela classifica cada pixel da imagem e associa pixels a instâncias específicas de objetos. Isso permite, por exemplo, contar com precisão o número de pessoas em uma multidão, medir áreas de aglomeração, detectar veículos com precisão em condições de sobreposição e analisar cenas complexas com maior detalhamento.",relatedTerms:["Detecção de Objetos","Contagem de Pessoas","Visão Computacional"],seenIn:["Perceptrum Personal"]},{term:"YOLO (You Only Look Once)",slug:"yolo",category:"visao-computacional",shortDef:"Família de arquiteturas de detecção de objetos em tempo real reconhecida pela velocidade e precisão.",fullDef:"YOLO (You Only Look Once) é uma família de arquiteturas de redes neurais desenvolvidas para detecção de objetos em tempo real com velocidade e precisão excepcionais. Ao contrário de abordagens anteriores que analisavam regiões da imagem em múltiplas etapas, o YOLO processa a imagem inteira em uma única passagem pela rede neural, tornando-o extremamente eficiente. 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Na segurança pública, cercas virtuais protegem áreas sensíveis (escolas, aeroportos, instalações críticas), detectam invasão de perímetro, monitoram zonas de restrição de veículos e alertam sobre aglomerações em áreas proibidas. São configuráveis por horário, tipo de objeto e direção de cruzamento.",relatedTerms:["Geofencing","Detecção de Anomalias","Alerta em Tempo Real"],seenIn:["Perceptrum Corporate"]},{term:"Policiamento Preditivo",slug:"policiamento-preditivo",category:"seguranca-publica",shortDef:"Uso de dados históricos e modelos de IA para prever locais e períodos com maior probabilidade de crimes.",fullDef:"Policiamento Preditivo é a aplicação de análise de dados e algoritmos de machine learning para prever onde e quando crimes são mais prováveis de ocorrer, permitindo alocação proativa de recursos policiais. Os modelos analisam histórico de ocorrências, padrões temporais, dados socioeconômicos e geoespaciais. 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