{"id":12117,"date":"2025-07-23T16:00:03","date_gmt":"2025-07-23T15:00:03","guid":{"rendered":"https:\/\/cctvacademy.be\/?p=12117"},"modified":"2026-10-07T07:58:28","modified_gmt":"2026-10-07T06:58:28","slug":"ai-by-camera","status":"publish","type":"post","link":"https:\/\/cctvacademy.be\/nl\/ai-by-camera\/","title":{"rendered":"AI BY CAMERA"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"12117\" class=\"elementor elementor-12117\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b15f4ed e-flex e-con-boxed e-con e-parent\" data-id=\"b15f4ed\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9586c01 elementor-widget elementor-widget-html\" data-id=\"9586c01\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<!--\nCCTV Academy \u2014 AI 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.top-actions{width:100%;justify-content:space-between}.cctv-aic-v1 h1{font-size:clamp(42px,15vw,64px)}.cctv-aic-v1 .section{padding:72px 0}.cctv-aic-v1 .architecture,.cctv-aic-v1 .functions,.cctv-aic-v1 .brand-grid,.cctv-aic-v1 .test-grid,.cctv-aic-v1 .media-grid,.cctv-aic-v1 .knowledge{grid-template-columns:1fr}.cctv-aic-v1 .chips{grid-template-columns:1fr}.cctv-aic-v1 .stage{aspect-ratio:.84}.cctv-aic-v1 .cta-box{padding:32px 24px}}\n@media(prefers-reduced-motion:reduce){.cctv-aic-v1 *{animation:none!important;transition:none!important}}\n<\/style>\n\n<div class=\"cctv-aic-v1\" id=\"cctv-aic-page\">\n  <div class=\"topbar\">\n    <div class=\"wrap topbar-inner\">\n      <div class=\"version\">CCTV Academy \u00b7 AI by Camera \u00b7 v1.0 STAGING<\/div>\n      <div class=\"top-actions\">\n        <a class=\"home-btn localized-home\" href=\"https:\/\/cctvacademy.be\/\" data-i=\"home\">Home<\/a>\n        <div class=\"langs\" aria-label=\"Language\">\n          <button class=\"lang\" type=\"button\" data-lang=\"nl\">NL<\/button><button class=\"lang\" type=\"button\" data-lang=\"fr\">FR<\/button><button class=\"lang\" type=\"button\" data-lang=\"en\">EN<\/button><button class=\"lang\" type=\"button\" data-lang=\"de\">DE<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <section class=\"hero\">\n    <div class=\"wrap hero-grid\">\n      <div>\n        <div class=\"eyebrow\" data-i=\"heroEye\">CCTV Academy \u00b7 Edge AI<\/div>\n        <h1 data-ih=\"heroTitle\">AI gebeurt niet alleen in de recorder.<br><em>De camera kan zelf analyseren.<\/em><\/h1>\n        <p class=\"lead\" data-i=\"heroLead\">Bij AI by Camera voert de IP-camera zelf intelligente beeldanalyse uit. De recorder ontvangt vervolgens gebeurtenissen, metadata of resultaten en gebruikt die voor weergave, zoeken, rapportage of verdere verwerking.<\/p>\n        <div class=\"hero-actions\">\n          <a class=\"btn btn-primary\" href=\"#werking\" data-i=\"heroCta1\">Bekijk hoe het werkt \u2192<\/a>\n          <a class=\"btn btn-secondary localized-link\" href=\"https:\/\/cctvacademy.be\/nl\/technische-termen-uitgelegd\/\" data-i=\"heroCta2\">Technische termen<\/a>\n        <\/div>\n        <div class=\"checks\"><span data-i=\"check1\">Analyse in de IP-camera<\/span><span data-i=\"check2\">Metadata naar NVR<\/span><span data-i=\"check3\">Praktijk altijd testen<\/span><\/div>\n      <\/div>\n      <div class=\"ai-stage\">\n        <div class=\"stage\">\n          <img data-recalc-dims=\"1\" height=\"600\" width=\"600\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/cctvacademy.be\/wp-content\/uploads\/2025\/07\/CCTV-OPLEIDING-CAMERABEWAKING-MICRO-LEARNING-wat-is-ai-by-camera-600X600.jpg?resize=600%2C600&#038;ssl=1\" data-alt-i=\"heroAlt\" alt=\"CCTV Academy AI by Camera\">\n          <div class=\"scan-ui\" aria-hidden=\"true\"><div class=\"scanline\"><\/div><\/div>\n          <div class=\"chips\"><div class=\"chip\"><small>EDGE AI<\/small><strong data-i=\"chip1\">Camera analyseert<\/strong><\/div><div class=\"chip\"><small>EVENT<\/small><strong data-i=\"chip2\">Detectie & metadata<\/strong><\/div><div class=\"chip\"><small>NVR<\/small><strong data-i=\"chip3\">Opslaan & zoeken<\/strong><\/div><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <div class=\"jump-wrap\"><div class=\"wrap\"><nav class=\"jump\" aria-label=\"Page navigation\"><a href=\"#werking\" data-i=\"nav1\">Werking<\/a><a href=\"#functies\" data-i=\"nav2\">AI-functies<\/a><a href=\"#camera-recorder\" data-i=\"nav3\">Camera + NVR<\/a><a href=\"#praktijk\" data-i=\"nav4\">Praktijk<\/a><a href=\"#demo\" data-i=\"nav5\">Demo<\/a><a href=\"#verder\" data-i=\"nav6\">Verder leren<\/a><\/nav><\/div><\/div>\n\n  <section class=\"section section-light\" id=\"werking\">\n    <div class=\"wrap\">\n      <div class=\"kicker\" data-i=\"s1k\">Wat betekent AI by Camera?<\/div>\n      <h2 data-i=\"s1t\">De intelligente analyse gebeurt aan de rand van het systeem.<\/h2>\n      <div class=\"split\">\n        <div class=\"copy\"><p data-i=\"s1p1\">De camera maakt niet alleen videobeeld. Bij ondersteunde modellen beschikt de camera ook over eigen AI-verwerkingscapaciteit waarmee gebeurtenissen of objecten lokaal kunnen worden geanalyseerd.<\/p><p data-i=\"s1p2\">De NVR ontvangt daarna de videostream samen met relevante gebeurtenissen of metadata. Daardoor kan de recorder functies tonen, bewaren of doorzoekbaar maken zonder alle analyse zelf te moeten uitvoeren.<\/p><p data-i=\"s1p3\">Welke combinatie werkelijk ondersteund wordt, blijft afhankelijk van het concrete camera- en recorderplatform, firmware en de functie die je wilt gebruiken.<\/p><\/div>\n        <div class=\"notice\"><strong data-i=\"s1boxh\">Belangrijk voor de installateur<\/strong><p data-i=\"s1boxp\">\u201cAI by Camera\u201d is geen algemene garantie dat elke AI-camera met elke recorder dezelfde functies levert. Controleer de datasheet en test de bedoelde combinatie.<\/p><\/div>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <section class=\"section section-dark\">\n    <div class=\"wrap\">\n      <div class=\"kicker\" data-i=\"s2k\">Technische keten<\/div><h2 data-i=\"s2t\">Van camerabeeld naar bruikbare AI-gebeurtenis.<\/h2>\n      <div class=\"architecture\">\n        <article class=\"arch\"><small>01 \u00b7 IMAGE<\/small><h3 data-i=\"a1h\">Camerabeeld<\/h3><p data-i=\"a1p\">Lens en sensor bouwen de videobeelden op.<\/p><\/article>\n        <article class=\"arch\"><small>02 \u00b7 AI<\/small><h3 data-i=\"a2h\">Lokale analyse<\/h3><p data-i=\"a2p\">De camera analyseert ondersteunde objecten of regels.<\/p><\/article>\n        <article class=\"arch\"><small>03 \u00b7 EVENT<\/small><h3 data-i=\"a3h\">Event & metadata<\/h3><p data-i=\"a3p\">De relevante gebeurtenis en gegevens worden gegenereerd.<\/p><\/article>\n        <article class=\"arch\"><small>04 \u00b7 NVR<\/small><h3 data-i=\"a4h\">Recorder<\/h3><p data-i=\"a4p\">De NVR bewaart, toont of combineert de informatie.<\/p><\/article>\n        <article class=\"arch\"><small>05 \u00b7 USER<\/small><h3 data-i=\"a5h\">Zoeken & actie<\/h3><p data-i=\"a5p\">De gebruiker zoekt, controleert of koppelt een actie.<\/p><\/article>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <section class=\"section section-light\" id=\"functies\">\n    <div class=\"wrap\">\n      <div class=\"kicker\" data-i=\"s3k\">AI-functies by Camera<\/div><h2 data-i=\"s3t\">Zes voorbeelden uit de huidige CCTV Academy-bron.<\/h2><p class=\"intro\" data-i=\"s3intro\">De precieze beschikbaarheid verschilt per camera, recorder en firmware. De pagina gebruikt deze functies als leerconcepten, niet als universele modelgarantie.<\/p>\n      <div class=\"functions\">\n        <article class=\"function\"><div class=\"icon\">FD<\/div><h3 data-i=\"f1h\">Face Detection & Recognition<\/h3><p data-i=\"f1p\">De camera kan gezichten detecteren; de recorder kan, wanneer de combinatie dit ondersteunt, resultaten verder verwerken of vergelijken.<\/p><div class=\"micro\" data-i=\"f1m\">Detectie en herkenning zijn niet hetzelfde.<\/div><\/article>\n        <article class=\"function\"><div class=\"icon\">IVS<\/div><h3 data-i=\"f2h\">Perimeter Protection<\/h3><p data-i=\"f2p\">Virtuele lijnen en zones helpen gerichte gebeurtenissen detecteren, bijvoorbeeld rond een ingang, erf of beveiligde grens.<\/p><div class=\"micro\" data-i=\"f2m\">Tripwire \u00b7 Intrusion \u00b7 filtering<\/div><\/article>\n        <article class=\"function\"><div class=\"icon\">SMD<\/div><h3>SMD Plus<\/h3><p data-i=\"f3p\">Slimme bewegingsdetectie richt zich op relevante objectcategorie\u00ebn zoals personen en voertuigen en helpt irrelevante beweging te beperken.<\/p><div class=\"micro\" data-i=\"f3m\">Mens \u00b7 voertuig \u00b7 minder ruis<\/div><\/article>\n        <article class=\"function\"><div class=\"icon\">META<\/div><h3 data-i=\"f4h\">Metadata<\/h3><p data-i=\"f4p\">Ondersteunde camera\u2019s kunnen beschrijvende gegevens aan gebeurtenissen koppelen, zodat opgenomen beelden later gerichter doorzocht kunnen worden.<\/p><div class=\"micro\" data-i=\"f4m\">Zoeken op kenmerken vereist ondersteuning.<\/div><\/article>\n        <article class=\"function\"><div class=\"icon\">ANPR<\/div><h3>ANPR<\/h3><p data-i=\"f5p\">Gespecialiseerde camera\u2019s kunnen nummerplaten registreren. De recorder kan die informatie bewaren en beschikbaar maken voor zoeken of rapportage.<\/p><div class=\"micro\" data-i=\"f5m\">Techniek en wetgeving samen beoordelen.<\/div><\/article>\n        <article class=\"function\"><div class=\"icon\">PC<\/div><h3 data-i=\"f6h\">People Counting<\/h3><p data-i=\"f6p\">Geschikte camera\u2019s kunnen tellingen genereren voor in- en uitgaande personen; de NVR kan resultaten weergeven of bewaren.<\/p><div class=\"micro\" data-i=\"f6m\">Tellingen altijd in de echte sc\u00e8ne valideren.<\/div><\/article>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <section class=\"section section-dark\" id=\"camera-recorder\">\n    <div class=\"wrap\">\n      <div class=\"kicker\" data-i=\"s4k\">Camera + recorder<\/div><h2 data-i=\"s4t\">De recorder hoeft niet alle AI zelf uit te voeren.<\/h2><p class=\"intro\" data-i=\"s4intro\">De huidige CCTV Academy-bron legt uit dat de recorder niet noodzakelijk voldoende eigen AI-capaciteit heeft om alle intelligente functies gelijktijdig uit te voeren. Daarom is het belangrijk te weten welke functies werkelijk door de camera geleverd worden.<\/p>\n      <div class=\"brand-grid\">\n        <article class=\"brand-card\"><div class=\"tag\" data-i=\"bc1tag\">AI by Camera<\/div><h3 data-i=\"bc1h\">Analyse in de camera<\/h3><p data-i=\"bc1p\">De IP-camera voert de ondersteunde analyse lokaal uit en stuurt gebeurtenissen of metadata mee naar de recorder.<\/p><\/article>\n        <article class=\"brand-card\"><div class=\"tag\" data-i=\"bc2tag\">AI by Recorder<\/div><h3 data-i=\"bc2h\">Analyse in de NVR<\/h3><p data-i=\"bc2p\">Bij andere functies voert de recorder zelf de analyse uit. De beschikbare capaciteit kan dan beperkt zijn tot een bepaald aantal gelijktijdige kanalen.<\/p><\/article>\n      <\/div>\n      <div class=\"notice\" style=\"background:rgba(255,255,255,.055);border-color:rgba(255,255,255,.12)\"><strong style=\"color:#fff\" data-i=\"s4boxh\">Compatibiliteit eerst controleren<\/strong><p style=\"color:#c5d8d4\" data-i=\"s4boxp\">De oorspronkelijke pagina kiest voor Dahua-camera\u2019s in combinatie met de Dahua-NVR om communicatieproblemen met specifieke AI-functies te vermijden. Behandel dat als platformkeuze uit de huidige Academy-bron en controleer steeds de concrete compatibiliteitsmatrix.<\/p><\/div>\n    <\/div>\n  <\/section>\n\n  <section class=\"section section-dark\" id=\"praktijk\" style=\"padding-top:8px\">\n    <div class=\"wrap\">\n      <div class=\"kicker\" data-i=\"s5k\">AI in theorie versus praktijk<\/div><h2 data-i=\"s5t\">Een perfecte demo is nog geen perfecte installatie.<\/h2><p class=\"intro\" data-i=\"s5intro\">Licht, reflecties, drukke achtergronden, camerahoek, kleding, afstand en onvoorspelbare beweging be\u00efnvloeden wat een algoritme werkelijk ziet.<\/p>\n      <div class=\"test-grid\">\n        <article class=\"test-card bad\"><h3 data-i=\"badH\">Niet doen: blind vertrouwen<\/h3><p data-i=\"badP\">Een fabrikantdemo toont meestal ideale omstandigheden. Dat zegt niet automatisch hoe dezelfde functie zich gedraagt op jouw werf, parking, winkel of inkomzone.<\/p><\/article>\n        <article class=\"test-card good\"><h3 data-i=\"goodH\">Wel doen: configureren, testen, verfijnen<\/h3><p data-i=\"goodP\">Test met echte looplijnen, lichtwissels, voertuigen, reflecties en storende objecten. Controleer false positives \u00e9n gemiste gebeurtenissen voordat je de configuratie oplevert.<\/p><\/article>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <section class=\"section section-dark\" id=\"demo\" style=\"padding-top:8px\">\n    <div class=\"wrap\">\n      <div class=\"kicker\" data-i=\"s6k\">Bestaande Academy-media<\/div><h2 data-i=\"s6t\">Behoud de originele beelden \u00e9n de praktijkdemo.<\/h2>\n      <div class=\"media-grid\">\n        <div class=\"media\"><img data-recalc-dims=\"1\" height=\"600\" width=\"600\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/cctvacademy.be\/wp-content\/uploads\/2025\/07\/CCTV-OPLEIDING-CAMERABEWAKING-MICRO-LEARNING-wat-is-ai-by-camera-600X600.jpg?resize=600%2C600&#038;ssl=1\" data-alt-i=\"m1alt\" alt=\"AI by Camera CCTV Academy\"><div class=\"media-caption\"><small data-i=\"existing\">Bestaand CCTV Academy beeld<\/small><strong data-i=\"m1cap\">AI by Camera \u2014 Micro-Learning visual<\/strong><\/div><\/div>\n        <div class=\"media\"><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/cctvacademy.be\/wp-content\/uploads\/2025\/07\/cctv-termen-uitgelegd-AI-CCTV-en-camerabewaking-opleiding-in-kortrijk-7-1.jpg?w=812&#038;ssl=1\" data-alt-i=\"m2alt\" alt=\"AI by Camera specificatie\"><div class=\"media-caption\"><small data-i=\"existing\">Bestaand CCTV Academy beeld<\/small><strong data-i=\"m2cap\">Specificatievoorbeeld uit de bestaande pagina<\/strong><\/div><\/div>\n      <\/div>\n      <div class=\"embed-preserve\" data-preserve-existing-iframe=\"true\"><strong data-i=\"videoH\">Praktijkdemo \u2014 origineel iframe behouden<\/strong><p data-i=\"videoP\">De huidige pagina bevat een demo waarbij je twee fouten in de telling moet zoeken. Neem bij de WordPress-merge exact het bestaande video-\/iframe-element en de huidige link over; vervang het niet door een gegokte embed.<\/p><\/div>\n    <\/div>\n  <\/section>\n\n  <section class=\"section section-light\" id=\"verder\">\n    <div class=\"wrap\">\n      <div class=\"kicker\" data-i=\"s7k\">Bouw verder op deze kennis<\/div><h2 data-i=\"s7t\">Begrijp waar de AI draait \u2014 en wat je daarna met de informatie doet.<\/h2>\n      <div class=\"knowledge\">\n        <a class=\"localized-link\" href=\"https:\/\/cctvacademy.be\/nl\/technische-termen-uitgelegd\/\"><div class=\"tag\" data-i=\"k1tag\">Basis<\/div><h3 data-i=\"k1h\">Technische termen uitgelegd<\/h3><p data-i=\"k1p\">Plaats AI by Camera naast AI by Recorder, bandwidth en decoding.<\/p><div class=\"go\" data-i=\"k1go\">Open termen \u2192<\/div><\/a>\n        <a class=\"localized-link\" href=\"https:\/\/cctvacademy.be\/nl\/ai-chip-in-de-8-megapixel-ip-camera-van-dahua\/\"><div class=\"tag\">Edge AI<\/div><h3 data-i=\"k2h\">AI-chip in de camera<\/h3><p data-i=\"k2p\">Bekijk welke lokale rekenkracht intelligente analyse mogelijk maakt.<\/p><div class=\"go\" data-i=\"k2go\">Bekijk AI-chip \u2192<\/div><\/a>\n        <a class=\"localized-link\" href=\"https:\/\/cctvacademy.be\/nl\/wat-betekent-wizsense-concreet\/\"><div class=\"tag\">Dahua<\/div><h3>WizSense<\/h3><p data-i=\"k3p\">Plaats SMD, perimeterdetectie en slimme zoekfuncties in \u00e9\u00e9n productfamilie.<\/p><div class=\"go\" data-i=\"k3go\">Bekijk WizSense \u2192<\/div><\/a>\n        <a class=\"localized-link\" href=\"https:\/\/cctvacademy.be\/nl\/opleiding-camerabewaking-ai-personen-detectie\/\"><div class=\"tag\" data-i=\"k4tag\">Hands-on<\/div><h3 data-i=\"k4h\">AI Personen Detectie<\/h3><p data-i=\"k4p\">Programmeer en test verschillende detectieregels op echte AI-camera\u2019s.<\/p><div class=\"go\" data-i=\"k4go\">Open opleiding \u2192<\/div><\/a>\n        <a class=\"localized-link\" href=\"https:\/\/cctvacademy.be\/nl\/hoe-configureer-je-de-acupick-ai-zoek-functie\/\"><div class=\"tag\">AI Search<\/div><h3>AcuPick<\/h3><p data-i=\"k5p\">Gebruik AI-resultaten en metadata om relevante personen of voertuigen sneller terug te vinden.<\/p><div class=\"go\" data-i=\"k5go\">Bekijk AcuPick \u2192<\/div><\/a>\n        <a class=\"localized-link\" href=\"https:\/\/cctvacademy.be\/nl\/opleiding-camerabewaking-fort-knox-het-ai-opnamesysteem\/\"><div class=\"tag\">NVR<\/div><h3 data-i=\"k6h\">Fort Knox AI-opnamesysteem<\/h3><p data-i=\"k6p\">Begrijp camera-AI, recorder-AI, netwerk, decoding en opslag als \u00e9\u00e9n systeem.<\/p><div class=\"go\" data-i=\"k6go\">Open Fort Knox \u2192<\/div><\/a>\n        <a class=\"localized-link\" href=\"https:\/\/cctvacademy.be\/nl\/advanced-ai-cctv-installateur-cursus-advanced-ai-cctv-installateur-opleiding\/\"><div class=\"tag\">Advanced<\/div><h3 data-i=\"k7h\">Advanced AI CCTV<\/h3><p data-i=\"k7p\">Ga verder met perimeter, ANPR, AcuPick en geavanceerde herkenning.<\/p><div class=\"go\" data-i=\"k7go\">Ontdek Advanced AI \u2192<\/div><\/a>\n        <a class=\"localized-link\" href=\"https:\/\/cctvacademy.be\/nl\/installateur-camerabewaking-opleidingen-in-kortrijk\/\"><div class=\"tag\">Micro-Learning<\/div><h3 data-i=\"k8h\">Test het zelf<\/h3><p data-i=\"k8p\">Werk met echte camera\u2019s en recorders en controleer wat AI in jouw sc\u00e8ne werkelijk doet.<\/p><div class=\"go\" data-i=\"k8go\">Ontdek Micro-Learning \u2192<\/div><\/a>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <section class=\"cta\">\n    <div class=\"wrap\"><div class=\"cta-box\"><div class=\"kicker\" data-i=\"ctaK\">CCTV Academy \u00b7 Practice first<\/div><h2 data-i=\"ctaT\">AI is pas betrouwbaar wanneer je de echte sc\u00e8ne test.<\/h2><p data-i=\"ctaP\">Configureer niet alleen de functie. Loop door de zone, verander licht, voeg storende beweging toe en controleer wat er fout gaat. D\u00e1\u00e1r begint professioneel AI-CCTV.<\/p><div class=\"cta-actions\"><a class=\"btn btn-primary localized-link\" href=\"https:\/\/cctvacademy.be\/nl\/installateur-camerabewaking-opleidingen-in-kortrijk\/\" data-i=\"cta1\">Ontdek CCTV Micro-Learning \u2192<\/a><a class=\"btn btn-secondary localized-link\" href=\"https:\/\/cctvacademy.be\/nl\/opleidingstraject-camerabewaking\/\" data-i=\"cta2\">Bekijk het opleidingstraject<\/a><\/div><\/div><\/div>\n  <\/section>\n\n  <div data-preserve-existing-share-links=\"true\" hidden><!-- Bij live WordPress-merge: bestaande print\/e-mail\/LinkedIn\/Facebook\/WhatsApp sharecomponent behouden indien deze in de body\/template zit. --><\/div>\n<\/div>\n\n<script>\n(function(){\n  var root=document.getElementById('cctv-aic-page'); if(!root)return;\n  var c={\n    nl:{home:'Home',heroEye:'CCTV Academy \u00b7 Edge AI',heroTitle:'AI gebeurt niet alleen in de recorder.<br><em>De camera kan zelf analyseren.<\/em>',heroLead:'Bij AI by Camera voert de IP-camera zelf intelligente beeldanalyse uit. De recorder ontvangt vervolgens gebeurtenissen, metadata of resultaten en gebruikt die voor weergave, zoeken, rapportage of verdere verwerking.',heroCta1:'Bekijk hoe het werkt \u2192',heroCta2:'Technische termen',check1:'Analyse in de IP-camera',check2:'Metadata naar NVR',check3:'Praktijk altijd testen',heroAlt:'CCTV Academy visual over AI by Camera',chip1:'Camera analyseert',chip2:'Detectie & metadata',chip3:'Opslaan & zoeken',nav1:'Werking',nav2:'AI-functies',nav3:'Camera + NVR',nav4:'Praktijk',nav5:'Demo',nav6:'Verder leren',s1k:'Wat betekent AI by Camera?',s1t:'De intelligente analyse gebeurt aan de rand van het systeem.',s1p1:'De camera maakt niet alleen videobeeld. Bij ondersteunde modellen beschikt de camera ook over eigen AI-verwerkingscapaciteit waarmee gebeurtenissen of objecten lokaal kunnen worden geanalyseerd.',s1p2:'De NVR ontvangt daarna de videostream samen met relevante gebeurtenissen of metadata. Daardoor kan de recorder functies tonen, bewaren of doorzoekbaar maken zonder alle analyse zelf te moeten uitvoeren.',s1p3:'Welke combinatie werkelijk ondersteund wordt, blijft afhankelijk van het concrete camera- en recorderplatform, firmware en de functie die je wilt gebruiken.',s1boxh:'Belangrijk voor de installateur',s1boxp:'\u201cAI by Camera\u201d is geen algemene garantie dat elke AI-camera met elke recorder dezelfde functies levert. Controleer de datasheet en test de bedoelde combinatie.',s2k:'Technische keten',s2t:'Van camerabeeld naar bruikbare AI-gebeurtenis.',a1h:'Camerabeeld',a1p:'Lens en sensor bouwen de videobeelden op.',a2h:'Lokale analyse',a2p:'De camera analyseert ondersteunde objecten of regels.',a3h:'Event & metadata',a3p:'De relevante gebeurtenis en gegevens worden gegenereerd.',a4h:'Recorder',a4p:'De NVR bewaart, toont of combineert de informatie.',a5h:'Zoeken & actie',a5p:'De gebruiker zoekt, controleert of koppelt een actie.',s3k:'AI-functies by Camera',s3t:'Zes voorbeelden uit de huidige CCTV Academy-bron.',s3intro:'De precieze beschikbaarheid verschilt per camera, recorder en firmware. De pagina gebruikt deze functies als leerconcepten, niet als universele modelgarantie.',f1h:'Face Detection & Recognition',f1p:'De camera kan gezichten detecteren; de recorder kan, wanneer de combinatie dit ondersteunt, resultaten verder verwerken of vergelijken.',f1m:'Detectie en herkenning zijn niet hetzelfde.',f2h:'Perimeter Protection',f2p:'Virtuele lijnen en zones helpen gerichte gebeurtenissen detecteren, bijvoorbeeld rond een ingang, erf of beveiligde grens.',f2m:'Tripwire \u00b7 Intrusion \u00b7 filtering',f3p:'Slimme bewegingsdetectie richt zich op relevante objectcategorie\u00ebn zoals personen en voertuigen en helpt irrelevante beweging te beperken.',f3m:'Mens \u00b7 voertuig \u00b7 minder ruis',f4h:'Metadata',f4p:'Ondersteunde camera\u2019s kunnen beschrijvende gegevens aan gebeurtenissen koppelen, zodat opgenomen beelden later gerichter doorzocht kunnen worden.',f4m:'Zoeken op kenmerken vereist ondersteuning.',f5p:'Gespecialiseerde camera\u2019s kunnen nummerplaten registreren. De recorder kan die informatie bewaren en beschikbaar maken voor zoeken of rapportage.',f5m:'Techniek en wetgeving samen beoordelen.',f6h:'People Counting',f6p:'Geschikte camera\u2019s kunnen tellingen genereren voor in- en uitgaande personen; de NVR kan resultaten weergeven of bewaren.',f6m:'Tellingen altijd in de echte sc\u00e8ne valideren.',s4k:'Camera + recorder',s4t:'De recorder hoeft niet alle AI zelf uit te voeren.',s4intro:'De huidige CCTV Academy-bron legt uit dat de recorder niet noodzakelijk voldoende eigen AI-capaciteit heeft om alle intelligente functies gelijktijdig uit te voeren. Daarom is het belangrijk te weten welke functies werkelijk door de camera geleverd worden.',bc1tag:'AI by Camera',bc1h:'Analyse in de camera',bc1p:'De IP-camera voert de ondersteunde analyse lokaal uit en stuurt gebeurtenissen of metadata mee naar de recorder.',bc2tag:'AI by Recorder',bc2h:'Analyse in de NVR',bc2p:'Bij andere functies voert de recorder zelf de analyse uit. De beschikbare capaciteit kan dan beperkt zijn tot een bepaald aantal gelijktijdige kanalen.',s4boxh:'Compatibiliteit eerst controleren',s4boxp:'De oorspronkelijke pagina kiest voor Dahua-camera\u2019s in combinatie met de Dahua-NVR om communicatieproblemen met specifieke AI-functies te vermijden. Behandel dat als platformkeuze uit de huidige Academy-bron en controleer steeds de concrete compatibiliteitsmatrix.',s5k:'AI in theorie versus praktijk',s5t:'Een perfecte demo is nog geen perfecte installatie.',s5intro:'Licht, reflecties, drukke achtergronden, camerahoek, kleding, afstand en onvoorspelbare beweging be\u00efnvloeden wat een algoritme werkelijk ziet.',badH:'Niet doen: blind vertrouwen',badP:'Een fabrikantdemo toont meestal ideale omstandigheden. Dat zegt niet automatisch hoe dezelfde functie zich gedraagt op jouw werf, parking, winkel of inkomzone.',goodH:'Wel doen: configureren, testen, verfijnen',goodP:'Test met echte looplijnen, lichtwissels, voertuigen, reflecties en storende objecten. Controleer false positives \u00e9n gemiste gebeurtenissen voordat je de configuratie oplevert.',s6k:'Bestaande Academy-media',s6t:'Behoud de originele beelden \u00e9n de praktijkdemo.',existing:'Bestaand CCTV Academy beeld',m1alt:'CCTV Academy AI by Camera Micro-Learning beeld',m1cap:'AI by Camera \u2014 Micro-Learning visual',m2alt:'Specificatievoorbeeld AI by Camera uit CCTV Academy',m2cap:'Specificatievoorbeeld uit de bestaande pagina',videoH:'Praktijkdemo \u2014 origineel iframe behouden',videoP:'De huidige pagina bevat een demo waarbij je twee fouten in de telling moet zoeken. Neem bij de WordPress-merge exact het bestaande video-\/iframe-element en de huidige link over; vervang het niet door een gegokte embed.',s7k:'Bouw verder op deze kennis',s7t:'Begrijp waar de AI draait \u2014 en wat je daarna met de informatie doet.',k1tag:'Basis',k1h:'Technische termen uitgelegd',k1p:'Plaats AI by Camera naast AI by Recorder, bandwidth en decoding.',k1go:'Open termen \u2192',k2h:'AI-chip in de camera',k2p:'Bekijk welke lokale rekenkracht intelligente analyse mogelijk maakt.',k2go:'Bekijk AI-chip \u2192',k3p:'Plaats SMD, perimeterdetectie en slimme zoekfuncties in \u00e9\u00e9n productfamilie.',k3go:'Bekijk WizSense \u2192',k4tag:'Hands-on',k4h:'AI Personen Detectie',k4p:'Programmeer en test verschillende detectieregels op echte AI-camera\u2019s.',k4go:'Open opleiding \u2192',k5p:'Gebruik AI-resultaten en metadata om relevante personen of voertuigen sneller terug te vinden.',k5go:'Bekijk AcuPick \u2192',k6h:'Fort Knox AI-opnamesysteem',k6p:'Begrijp camera-AI, recorder-AI, netwerk, decoding en opslag als \u00e9\u00e9n systeem.',k6go:'Open Fort Knox \u2192',k7h:'Advanced AI CCTV',k7p:'Ga verder met perimeter, ANPR, AcuPick en geavanceerde herkenning.',k7go:'Ontdek Advanced AI \u2192',k8h:'Test het zelf',k8p:'Werk met echte camera\u2019s en recorders en controleer wat AI in jouw sc\u00e8ne werkelijk doet.',k8go:'Ontdek Micro-Learning \u2192',ctaK:'CCTV Academy \u00b7 Practice first',ctaT:'AI is pas betrouwbaar wanneer je de echte sc\u00e8ne test.',ctaP:'Configureer niet alleen de functie. Loop door de zone, verander licht, voeg storende beweging toe en controleer wat er fout gaat. D\u00e1\u00e1r begint professioneel AI-CCTV.',cta1:'Ontdek CCTV Micro-Learning \u2192',cta2:'Bekijk het opleidingstraject'},\n    fr:{home:'Accueil',heroEye:'CCTV Academy \u00b7 IA en p\u00e9riph\u00e9rie',heroTitle:'L\u2019IA ne se trouve pas seulement dans l\u2019enregistreur.<br><em>La cam\u00e9ra peut analyser elle-m\u00eame.<\/em>',heroLead:'Avec AI by Camera, la cam\u00e9ra IP effectue elle-m\u00eame l\u2019analyse intelligente de l\u2019image. L\u2019enregistreur re\u00e7oit ensuite des \u00e9v\u00e9nements, m\u00e9tadonn\u00e9es ou r\u00e9sultats pour l\u2019affichage, la recherche, le reporting ou le traitement ult\u00e9rieur.',heroCta1:'Voir comment cela fonctionne \u2192',heroCta2:'Termes techniques',check1:'Analyse dans la cam\u00e9ra IP',check2:'M\u00e9tadonn\u00e9es vers le NVR',check3:'Toujours tester en pratique',heroAlt:'Visuel CCTV Academy sur AI by Camera',chip1:'La cam\u00e9ra analyse',chip2:'D\u00e9tection & m\u00e9tadonn\u00e9es',chip3:'Stocker & rechercher',nav1:'Fonctionnement',nav2:'Fonctions IA',nav3:'Cam\u00e9ra + NVR',nav4:'Pratique',nav5:'D\u00e9mo',nav6:'Continuer \u00e0 apprendre',s1k:'Que signifie AI by Camera ?',s1t:'L\u2019analyse intelligente s\u2019effectue \u00e0 la p\u00e9riph\u00e9rie du syst\u00e8me.',s1p1:'La cam\u00e9ra ne produit pas seulement de la vid\u00e9o. Sur les mod\u00e8les compatibles, elle dispose aussi de sa propre capacit\u00e9 de traitement IA pour analyser localement des \u00e9v\u00e9nements ou des objets.',s1p2:'Le NVR re\u00e7oit ensuite le flux vid\u00e9o avec les \u00e9v\u00e9nements ou m\u00e9tadonn\u00e9es utiles. Il peut ainsi afficher, stocker ou rendre les informations recherchables sans effectuer lui-m\u00eame toute l\u2019analyse.',s1p3:'La combinaison r\u00e9ellement prise en charge d\u00e9pend toujours du mod\u00e8le de cam\u00e9ra, du NVR, du firmware et de la fonction souhait\u00e9e.',s1boxh:'Important pour l\u2019installateur',s1boxp:'\u00ab AI by Camera \u00bb ne garantit pas que chaque cam\u00e9ra IA offre les m\u00eames fonctions avec chaque enregistreur. V\u00e9rifiez la fiche technique et testez la combinaison pr\u00e9vue.',s2k:'Cha\u00eene technique',s2t:'De l\u2019image cam\u00e9ra \u00e0 un \u00e9v\u00e9nement IA exploitable.',a1h:'Image cam\u00e9ra',a1p:'L\u2019objectif et le capteur construisent la vid\u00e9o.',a2h:'Analyse locale',a2p:'La cam\u00e9ra analyse les objets ou r\u00e8gles pris en charge.',a3h:'\u00c9v\u00e9nement & m\u00e9tadonn\u00e9es',a3p:'L\u2019\u00e9v\u00e9nement pertinent et les donn\u00e9es sont g\u00e9n\u00e9r\u00e9s.',a4h:'Enregistreur',a4p:'Le NVR stocke, affiche ou combine les informations.',a5h:'Recherche & action',a5p:'L\u2019utilisateur recherche, contr\u00f4le ou associe une action.',s3k:'Fonctions IA by Camera',s3t:'Six exemples issus de la source CCTV Academy actuelle.',s3intro:'La disponibilit\u00e9 exacte varie selon la cam\u00e9ra, le NVR et le firmware. Ces fonctions sont pr\u00e9sent\u00e9es comme concepts d\u2019apprentissage, pas comme garantie universelle.',f1h:'Face Detection & Recognition',f1p:'La cam\u00e9ra peut d\u00e9tecter des visages ; l\u2019enregistreur peut ensuite traiter ou comparer les r\u00e9sultats lorsque la combinaison le permet.',f1m:'D\u00e9tection et reconnaissance ne sont pas identiques.',f2h:'Perimeter Protection',f2p:'Des lignes et zones virtuelles permettent de d\u00e9tecter des \u00e9v\u00e9nements cibl\u00e9s autour d\u2019une entr\u00e9e, d\u2019un terrain ou d\u2019une limite s\u00e9curis\u00e9e.',f2m:'Tripwire \u00b7 Intrusion \u00b7 filtrage',f3p:'La d\u00e9tection intelligente de mouvement se concentre sur des cat\u00e9gories pertinentes comme les personnes et v\u00e9hicules et aide \u00e0 r\u00e9duire les mouvements inutiles.',f3m:'Personne \u00b7 v\u00e9hicule \u00b7 moins de bruit',f4h:'M\u00e9tadonn\u00e9es',f4p:'Les cam\u00e9ras compatibles peuvent associer des donn\u00e9es descriptives aux \u00e9v\u00e9nements afin de permettre une recherche plus cibl\u00e9e dans les enregistrements.',f4m:'La recherche par attribut exige une prise en charge.',f5p:'Des cam\u00e9ras sp\u00e9cialis\u00e9es peuvent enregistrer les plaques. Le NVR peut conserver ces informations et les rendre disponibles pour la recherche ou le reporting.',f5m:'\u00c9valuer ensemble technique et l\u00e9gislation.',f6h:'People Counting',f6p:'Les cam\u00e9ras adapt\u00e9es peuvent g\u00e9n\u00e9rer des comptages d\u2019entr\u00e9es et de sorties ; le NVR peut afficher ou conserver les r\u00e9sultats.',f6m:'Toujours valider les comptages dans la sc\u00e8ne r\u00e9elle.',s4k:'Cam\u00e9ra + enregistreur',s4t:'L\u2019enregistreur ne doit pas ex\u00e9cuter toute l\u2019IA lui-m\u00eame.',s4intro:'La source CCTV Academy explique que l\u2019enregistreur ne dispose pas n\u00e9cessairement de la puissance IA suffisante pour traiter toutes les fonctions intelligentes simultan\u00e9ment. Il faut donc savoir quelles fonctions sont r\u00e9ellement fournies par la cam\u00e9ra.',bc1tag:'AI by Camera',bc1h:'Analyse dans la cam\u00e9ra',bc1p:'La cam\u00e9ra IP effectue localement l\u2019analyse prise en charge et transmet les \u00e9v\u00e9nements ou m\u00e9tadonn\u00e9es au NVR.',bc2tag:'AI by Recorder',bc2h:'Analyse dans le NVR',bc2p:'Pour d\u2019autres fonctions, l\u2019enregistreur effectue lui-m\u00eame l\u2019analyse. La capacit\u00e9 disponible peut alors \u00eatre limit\u00e9e \u00e0 un certain nombre de canaux simultan\u00e9s.',s4boxh:'V\u00e9rifier d\u2019abord la compatibilit\u00e9',s4boxp:'La page d\u2019origine privil\u00e9gie des cam\u00e9ras Dahua avec un NVR Dahua afin de limiter les probl\u00e8mes de communication pour certaines fonctions IA. Consid\u00e9rez cela comme un choix de plateforme de la source actuelle et v\u00e9rifiez toujours la matrice de compatibilit\u00e9 concr\u00e8te.',s5k:'IA en th\u00e9orie versus pratique',s5t:'Une d\u00e9mo parfaite n\u2019est pas encore une installation parfaite.',s5intro:'Lumi\u00e8re, reflets, arri\u00e8re-plans charg\u00e9s, angle de cam\u00e9ra, v\u00eatements, distance et mouvements impr\u00e9visibles influencent ce que l\u2019algorithme voit r\u00e9ellement.',badH:'\u00c0 \u00e9viter : faire confiance aveugl\u00e9ment',badP:'Une d\u00e9mo fabricant montre g\u00e9n\u00e9ralement des conditions id\u00e9ales. Cela ne dit pas automatiquement comment la m\u00eame fonction se comporte sur votre chantier, parking, magasin ou entr\u00e9e.',goodH:'\u00c0 faire : configurer, tester, affiner',goodP:'Testez avec de vraies trajectoires, variations de lumi\u00e8re, v\u00e9hicules, reflets et mouvements perturbateurs. Contr\u00f4lez les faux positifs et les \u00e9v\u00e9nements manqu\u00e9s avant la livraison.',s6k:'M\u00e9dias CCTV Academy existants',s6t:'Conserver les images originales et la d\u00e9mo pratique.',existing:'Image CCTV Academy existante',m1alt:'Image Micro-Learning CCTV Academy AI by Camera',m1cap:'AI by Camera \u2014 visuel Micro-Learning',m2alt:'Exemple de sp\u00e9cification AI by Camera CCTV Academy',m2cap:'Exemple de sp\u00e9cification de la page existante',videoH:'D\u00e9mo pratique \u2014 conserver l\u2019iframe original',videoP:'La page actuelle contient une d\u00e9mo o\u00f9 il faut rep\u00e9rer deux erreurs de comptage. Lors de la fusion WordPress, reprenez exactement l\u2019\u00e9l\u00e9ment vid\u00e9o\/iframe et le lien actuels ; ne les remplacez pas par un embed suppos\u00e9.',s7k:'Approfondir',s7t:'Comprendre o\u00f9 tourne l\u2019IA \u2014 et ce que vous faites ensuite de l\u2019information.',k1tag:'Base',k1h:'Termes techniques expliqu\u00e9s',k1p:'Placez AI by Camera \u00e0 c\u00f4t\u00e9 de AI by Recorder, bandwidth et decoding.',k1go:'Ouvrir les termes \u2192',k2h:'Puce IA dans la cam\u00e9ra',k2p:'Voyez quelle puissance locale permet l\u2019analyse intelligente.',k2go:'Voir la puce IA \u2192',k3p:'Placez SMD, protection p\u00e9rim\u00e9trique et recherche intelligente dans une m\u00eame famille produit.',k3go:'Voir WizSense \u2192',k4tag:'Pratique',k4h:'D\u00e9tection IA de personnes',k4p:'Programmez et testez plusieurs r\u00e8gles de d\u00e9tection sur de vraies cam\u00e9ras IA.',k4go:'Ouvrir la formation \u2192',k5p:'Utilisez les r\u00e9sultats IA et m\u00e9tadonn\u00e9es pour retrouver plus vite personnes ou v\u00e9hicules pertinents.',k5go:'Voir AcuPick \u2192',k6h:'Syst\u00e8me d\u2019enregistrement Fort Knox AI',k6p:'Comprenez IA cam\u00e9ra, IA NVR, r\u00e9seau, d\u00e9codage et stockage comme un seul syst\u00e8me.',k6go:'Ouvrir Fort Knox \u2192',k7h:'Advanced AI CCTV',k7p:'Continuez avec p\u00e9rim\u00e8tre, ANPR, AcuPick et reconnaissance avanc\u00e9e.',k7go:'D\u00e9couvrir Advanced AI \u2192',k8h:'Testez vous-m\u00eame',k8p:'Travaillez avec de vraies cam\u00e9ras et NVR et v\u00e9rifiez ce que l\u2019IA fait r\u00e9ellement dans votre sc\u00e8ne.',k8go:'D\u00e9couvrir Micro-Learning \u2192',ctaK:'CCTV Academy \u00b7 Practice first',ctaT:'L\u2019IA devient fiable lorsque vous testez la sc\u00e8ne r\u00e9elle.',ctaP:'N\u2019activez pas seulement la fonction. Traversez la zone, changez la lumi\u00e8re, ajoutez des mouvements perturbateurs et observez les erreurs. C\u2019est l\u00e0 que commence l\u2019IA-CCTV professionnelle.',cta1:'D\u00e9couvrir CCTV Micro-Learning \u2192',cta2:'Voir le parcours de formation'},\n    en:{home:'Home',heroEye:'CCTV Academy \u00b7 Edge AI',heroTitle:'AI does not only live in the recorder.<br><em>The camera can analyse by itself.<\/em>',heroLead:'With AI by Camera, the IP camera performs intelligent image analysis locally. The recorder then receives events, metadata or results and uses them for display, search, reporting or further processing.',heroCta1:'See how it works \u2192',heroCta2:'Technical terms',check1:'Analysis in the IP camera',check2:'Metadata to NVR',check3:'Always test in practice',heroAlt:'CCTV Academy visual about AI by Camera',chip1:'Camera analyses',chip2:'Detection & metadata',chip3:'Store & search',nav1:'How it works',nav2:'AI functions',nav3:'Camera + NVR',nav4:'Practice',nav5:'Demo',nav6:'Learn more',s1k:'What does AI by Camera mean?',s1t:'Intelligent analysis happens at the edge of the system.',s1p1:'The camera does more than create video. Supported models also include their own AI processing capacity to analyse events or objects locally.',s1p2:'The NVR then receives the video stream together with relevant events or metadata. This lets the recorder display, store or search information without having to perform all analysis itself.',s1p3:'The functions that are actually supported always depend on the specific camera and recorder platform, firmware and intended feature.',s1boxh:'Important for installers',s1boxp:'\u201cAI by Camera\u201d is not a universal guarantee that every AI camera provides the same functions with every recorder. Check the datasheet and test the intended combination.',s2k:'Technical chain',s2t:'From camera image to a usable AI event.',a1h:'Camera image',a1p:'Lens and sensor build the video image.',a2h:'Local analysis',a2p:'The camera analyses supported objects or rules.',a3h:'Event & metadata',a3p:'The relevant event and data are generated.',a4h:'Recorder',a4p:'The NVR stores, displays or combines the information.',a5h:'Search & action',a5p:'The user searches, verifies or links an action.',s3k:'AI functions by Camera',s3t:'Six examples from the current CCTV Academy source.',s3intro:'Exact availability varies by camera, recorder and firmware. These are learning concepts, not universal model guarantees.',f1h:'Face Detection & Recognition',f1p:'The camera can detect faces; the recorder can further process or compare results when the combination supports it.',f1m:'Detection and recognition are not the same.',f2h:'Perimeter Protection',f2p:'Virtual lines and zones help detect targeted events around an entrance, site or protected boundary.',f2m:'Tripwire \u00b7 Intrusion \u00b7 filtering',f3p:'Smart motion detection focuses on relevant object classes such as people and vehicles and helps reduce irrelevant motion.',f3m:'Human \u00b7 vehicle \u00b7 less noise',f4h:'Metadata',f4p:'Supported cameras can attach descriptive data to events so recorded video can later be searched more selectively.',f4m:'Attribute search requires support.',f5p:'Specialised cameras can register licence plates. The recorder can store this information and make it available for search or reporting.',f5m:'Assess technology and law together.',f6h:'People Counting',f6p:'Suitable cameras can generate incoming and outgoing counts; the NVR can display or store the results.',f6m:'Always validate counts in the real scene.',s4k:'Camera + recorder',s4t:'The recorder does not have to perform all AI itself.',s4intro:'The current CCTV Academy source explains that the recorder may not have enough built-in AI capacity to process every intelligent function simultaneously. That is why you need to know which functions are actually delivered by the camera.',bc1tag:'AI by Camera',bc1h:'Analysis in the camera',bc1p:'The IP camera performs supported analysis locally and sends events or metadata to the recorder.',bc2tag:'AI by Recorder',bc2h:'Analysis in the NVR',bc2p:'For other functions, the recorder performs the analysis itself. Available capacity may then be limited to a certain number of simultaneous channels.',s4boxh:'Check compatibility first',s4boxp:'The original page favours Dahua cameras with a Dahua NVR to avoid communication issues with specific AI functions. Treat that as the platform choice of the current Academy source and always verify the concrete compatibility matrix.',s5k:'AI in theory versus practice',s5t:'A perfect demo is not yet a perfect installation.',s5intro:'Lighting, reflections, busy backgrounds, camera angle, clothing, distance and unpredictable movement all affect what an algorithm actually sees.',badH:'Do not: trust blindly',badP:'A manufacturer demo usually shows ideal conditions. That does not automatically show how the same function behaves on your site, car park, shop or entrance.',goodH:'Do: configure, test, refine',goodP:'Test real walking paths, changing light, vehicles, reflections and distracting motion. Check both false positives and missed events before handover.',s6k:'Existing CCTV Academy media',s6t:'Keep the original images and the practical demo.',existing:'Existing CCTV Academy image',m1alt:'CCTV Academy AI by Camera Micro-Learning image',m1cap:'AI by Camera \u2014 Micro-Learning visual',m2alt:'AI by Camera specification example from CCTV Academy',m2cap:'Specification example from the existing page',videoH:'Practical demo \u2014 keep original iframe',videoP:'The current page contains a demo where you need to find two counting errors. During the WordPress merge, carry over the exact existing video\/iframe element and link; do not replace it with a guessed embed.',s7k:'Build on this knowledge',s7t:'Understand where the AI runs \u2014 and what you do with the information next.',k1tag:'Basics',k1h:'Technical terms explained',k1p:'Place AI by Camera next to AI by Recorder, bandwidth and decoding.',k1go:'Open terms \u2192',k2h:'AI chip in the camera',k2p:'See what local processing power enables intelligent analysis.',k2go:'View AI chip \u2192',k3p:'Place SMD, perimeter protection and intelligent search within one product family.',k3go:'View WizSense \u2192',k4tag:'Hands-on',k4h:'AI Person Detection',k4p:'Program and test different detection rules on real AI cameras.',k4go:'Open training \u2192',k5p:'Use AI results and metadata to find relevant people or vehicles faster.',k5go:'View AcuPick \u2192',k6h:'Fort Knox AI recording system',k6p:'Understand camera AI, recorder AI, network, decoding and storage as one system.',k6go:'Open Fort Knox \u2192',k7h:'Advanced AI CCTV',k7p:'Continue with perimeter, ANPR, AcuPick and advanced recognition.',k7go:'Discover Advanced AI \u2192',k8h:'Test it yourself',k8p:'Work with real cameras and recorders and verify what AI actually does in your scene.',k8go:'Discover Micro-Learning \u2192',ctaK:'CCTV Academy \u00b7 Practice first',ctaT:'AI becomes reliable when you test the real scene.',ctaP:'Do not only enable the feature. Walk through the zone, change the light, add distracting motion and check what goes wrong. That is where professional AI CCTV starts.',cta1:'Discover CCTV Micro-Learning \u2192',cta2:'View the training path'},\n    de:{home:'Startseite',heroEye:'CCTV Academy \u00b7 Edge AI',heroTitle:'KI steckt nicht nur im Recorder.<br><em>Die Kamera kann selbst analysieren.<\/em>',heroLead:'Bei AI by Camera f\u00fchrt die IP-Kamera intelligente Bildanalyse lokal aus. Der Recorder erh\u00e4lt anschlie\u00dfend Ereignisse, Metadaten oder Ergebnisse und nutzt sie f\u00fcr Anzeige, Suche, Berichte oder weitere Verarbeitung.',heroCta1:'So funktioniert es \u2192',heroCta2:'Technische Begriffe',check1:'Analyse in der IP-Kamera',check2:'Metadaten zum NVR',check3:'Praxis immer testen',heroAlt:'CCTV Academy Visual zu AI by Camera',chip1:'Kamera analysiert',chip2:'Erkennung & Metadaten',chip3:'Speichern & suchen',nav1:'Funktionsweise',nav2:'KI-Funktionen',nav3:'Kamera + NVR',nav4:'Praxis',nav5:'Demo',nav6:'Weiterlernen',s1k:'Was bedeutet AI by Camera?',s1t:'Die intelligente Analyse erfolgt am Rand des Systems.',s1p1:'Die Kamera erzeugt nicht nur Video. Unterst\u00fctzte Modelle besitzen eigene KI-Rechenleistung, um Ereignisse oder Objekte lokal zu analysieren.',s1p2:'Der NVR erh\u00e4lt anschlie\u00dfend den Videostream zusammen mit relevanten Ereignissen oder Metadaten. So kann der Recorder Informationen anzeigen, speichern oder durchsuchbar machen, ohne jede Analyse selbst auszuf\u00fchren.',s1p3:'Welche Kombination tats\u00e4chlich unterst\u00fctzt wird, h\u00e4ngt immer von Kamera, Recorder, Firmware und gew\u00fcnschter Funktion ab.',s1boxh:'Wichtig f\u00fcr Installateure',s1boxp:'\u201eAI by Camera\u201c garantiert nicht allgemein, dass jede KI-Kamera mit jedem Recorder dieselben Funktionen liefert. Datenblatt pr\u00fcfen und die geplante Kombination testen.',s2k:'Technische Kette',s2t:'Vom Kamerabild zum nutzbaren KI-Ereignis.',a1h:'Kamerabild',a1p:'Objektiv und Sensor erzeugen das Videobild.',a2h:'Lokale Analyse',a2p:'Die Kamera analysiert unterst\u00fctzte Objekte oder Regeln.',a3h:'Ereignis & Metadaten',a3p:'Das relevante Ereignis und die Daten werden erzeugt.',a4h:'Recorder',a4p:'Der NVR speichert, zeigt oder kombiniert die Informationen.',a5h:'Suche & Aktion',a5p:'Der Benutzer sucht, pr\u00fcft oder verkn\u00fcpft eine Aktion.',s3k:'KI-Funktionen by Camera',s3t:'Sechs Beispiele aus der aktuellen CCTV-Academy-Quelle.',s3intro:'Die genaue Verf\u00fcgbarkeit variiert je nach Kamera, Recorder und Firmware. Die Funktionen dienen als Lernkonzepte, nicht als universelle Modellgarantie.',f1h:'Face Detection & Recognition',f1p:'Die Kamera kann Gesichter erkennen; der Recorder kann Ergebnisse weiterverarbeiten oder vergleichen, wenn die Kombination dies unterst\u00fctzt.',f1m:'Erkennung und Wiedererkennung sind nicht dasselbe.',f2h:'Perimeter Protection',f2p:'Virtuelle Linien und Zonen helfen, gezielte Ereignisse an Eing\u00e4ngen, Grundst\u00fccken oder gesch\u00fctzten Grenzen zu erkennen.',f2m:'Tripwire \u00b7 Intrusion \u00b7 Filterung',f3p:'Intelligente Bewegungserkennung konzentriert sich auf relevante Objektklassen wie Personen und Fahrzeuge und hilft, irrelevante Bewegung zu reduzieren.',f3m:'Person \u00b7 Fahrzeug \u00b7 weniger St\u00f6rungen',f4h:'Metadaten',f4p:'Unterst\u00fctzte Kameras k\u00f6nnen Ereignissen beschreibende Daten zuordnen, damit Aufnahmen sp\u00e4ter gezielter durchsucht werden k\u00f6nnen.',f4m:'Attributsuche erfordert Unterst\u00fctzung.',f5p:'Spezialisierte Kameras k\u00f6nnen Kennzeichen erfassen. Der Recorder kann diese Informationen speichern und f\u00fcr Suche oder Berichte bereitstellen.',f5m:'Technik und Recht gemeinsam bewerten.',f6h:'People Counting',f6p:'Geeignete Kameras k\u00f6nnen Ein- und Ausgangsz\u00e4hlungen erzeugen; der NVR kann Ergebnisse anzeigen oder speichern.',f6m:'Z\u00e4hlungen immer in der realen Szene validieren.',s4k:'Kamera + Recorder',s4t:'Der Recorder muss nicht jede KI selbst ausf\u00fchren.',s4intro:'Die aktuelle CCTV-Academy-Quelle erkl\u00e4rt, dass der Recorder nicht unbedingt genug eigene KI-Kapazit\u00e4t besitzt, um alle intelligenten Funktionen gleichzeitig zu verarbeiten. Deshalb muss klar sein, welche Funktionen tats\u00e4chlich von der Kamera geliefert werden.',bc1tag:'AI by Camera',bc1h:'Analyse in der Kamera',bc1p:'Die IP-Kamera f\u00fchrt unterst\u00fctzte Analysen lokal aus und sendet Ereignisse oder Metadaten an den Recorder.',bc2tag:'AI by Recorder',bc2h:'Analyse im NVR',bc2p:'Bei anderen Funktionen f\u00fchrt der Recorder die Analyse selbst aus. Die verf\u00fcgbare Kapazit\u00e4t kann dann auf eine bestimmte Zahl gleichzeitiger Kan\u00e4le begrenzt sein.',s4boxh:'Kompatibilit\u00e4t zuerst pr\u00fcfen',s4boxp:'Die urspr\u00fcngliche Seite setzt auf Dahua-Kameras zusammen mit einem Dahua-NVR, um Kommunikationsprobleme bei bestimmten KI-Funktionen zu vermeiden. Behandle dies als Plattformwahl der aktuellen Academy-Quelle und pr\u00fcfe immer die konkrete Kompatibilit\u00e4tsmatrix.',s5k:'KI in Theorie versus Praxis',s5t:'Eine perfekte Demo ist noch keine perfekte Installation.',s5intro:'Licht, Reflexionen, unruhige Hintergr\u00fcnde, Kamerawinkel, Kleidung, Entfernung und unvorhersehbare Bewegungen beeinflussen, was ein Algorithmus tats\u00e4chlich sieht.',badH:'Nicht tun: blind vertrauen',badP:'Eine Herstellerdemo zeigt meist ideale Bedingungen. Das sagt nicht automatisch, wie dieselbe Funktion auf deiner Baustelle, deinem Parkplatz, Gesch\u00e4ft oder Eingang arbeitet.',goodH:'Tun: konfigurieren, testen, verfeinern',goodP:'Teste echte Laufwege, Lichtwechsel, Fahrzeuge, Reflexionen und st\u00f6rende Bewegung. Pr\u00fcfe Fehlalarme und verpasste Ereignisse vor der \u00dcbergabe.',s6k:'Vorhandene CCTV-Academy-Medien',s6t:'Originalbilder und Praxisdemo beibehalten.',existing:'Vorhandenes CCTV-Academy-Bild',m1alt:'CCTV Academy AI by Camera Micro-Learning Bild',m1cap:'AI by Camera \u2014 Micro-Learning Visual',m2alt:'AI-by-Camera-Spezifikationsbeispiel aus CCTV Academy',m2cap:'Spezifikationsbeispiel der bestehenden Seite',videoH:'Praxisdemo \u2014 originales iframe beibehalten',videoP:'Die aktuelle Seite enth\u00e4lt eine Demo, in der zwei Z\u00e4hlfehler gefunden werden sollen. Bei der WordPress-Zusammenf\u00fchrung das vorhandene Video-\/iframe-Element und den aktuellen Link exakt \u00fcbernehmen; keinen Embed erraten.',s7k:'Auf diesem Wissen aufbauen',s7t:'Verstehe, wo die KI l\u00e4uft \u2014 und was danach mit den Informationen geschieht.',k1tag:'Basis',k1h:'Technische Begriffe erkl\u00e4rt',k1p:'Ordne AI by Camera neben AI by Recorder, Bandbreite und Decoding ein.',k1go:'Begriffe \u00f6ffnen \u2192',k2h:'KI-Chip in der Kamera',k2p:'Sieh, welche lokale Rechenleistung intelligente Analyse erm\u00f6glicht.',k2go:'KI-Chip ansehen \u2192',k3p:'Ordne SMD, Perimeterschutz und intelligente Suche in einer Produktfamilie ein.',k3go:'WizSense ansehen \u2192',k4tag:'Hands-on',k4h:'KI-Personenerkennung',k4p:'Programmiere und teste verschiedene Erkennungsregeln an echten KI-Kameras.',k4go:'Schulung \u00f6ffnen \u2192',k5p:'Nutze KI-Ergebnisse und Metadaten, um relevante Personen oder Fahrzeuge schneller zu finden.',k5go:'AcuPick ansehen \u2192',k6h:'Fort Knox KI-Aufnahmesystem',k6p:'Verstehe Kamera-KI, Recorder-KI, Netzwerk, Decoding und Speicher als ein System.',k6go:'Fort Knox \u00f6ffnen \u2192',k7h:'Advanced AI CCTV',k7p:'Vertiefe Perimeter, ANPR, AcuPick und fortgeschrittene Wiedererkennung.',k7go:'Advanced AI entdecken \u2192',k8h:'Selbst testen',k8p:'Arbeite mit echten Kameras und Recordern und pr\u00fcfe, was KI in deiner Szene tats\u00e4chlich macht.',k8go:'Micro-Learning entdecken \u2192',ctaK:'CCTV Academy \u00b7 Practice first',ctaT:'KI wird zuverl\u00e4ssig, wenn du die reale Szene testest.',ctaP:'Aktiviere nicht nur die Funktion. Laufe durch die Zone, \u00e4ndere das Licht, f\u00fcge st\u00f6rende Bewegung hinzu und pr\u00fcfe, was schiefgeht. 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Bij AI by Camera voert de IP-camera zelf intelligente beeldanalyse uit. De recorder ontvangt vervolgens gebeurtenissen, metadata of resultaten en gebruikt die voor weergave, zoeken, rapportage of verdere [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_canvas","format":"standard","meta":{"_acf_changed":false,"zakra_page_container_layout":"customizer","zakra_page_sidebar_layout":"customizer","zakra_remove_content_margin":false,"zakra_sidebar":"customizer","zakra_transparent_header":"customizer","zakra_logo":0,"zakra_main_header_style":"default","zakra_menu_item_color":"","zakra_menu_item_hover_color":"","zakra_menu_item_active_color":"","zakra_menu_active_style":"","zakra_page_header":true,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_glsr_average":0,"_glsr_ranking":0,"_glsr_reviews":0,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[121],"tags":[25,71],"class_list":["post-12117","post","type-post","status-publish","format-standard","hentry","category-cctv-micro-learning","tag-camerabewaking","tag-merk-dahua"],"acf":[],"nelio_content":{"autoShareEndMode":"never","automationSources":{"useCustomSentences":false,"customSentences":[]},"efiAlt":"","efiUrl":"","followers":[1],"highlights":[],"isAutoShareEnabled":true,"networkImageIds":[],"permalinkQueryArgs":[],"series":[],"suggestedReferences":[]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI BY CAMERA - RAS\/AIS CCTV Academy<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cctvacademy.be\/nl\/ai-by-camera\/\" \/>\n<meta property=\"og:locale\" content=\"nl_BE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI BY CAMERA - RAS\/AIS CCTV Academy\" \/>\n<meta property=\"og:description\" content=\"CCTV Academy \u00b7 AI by Camera \u00b7 v1.0 STAGING Home NLFRENDE CCTV Academy \u00b7 Edge AI AI gebeurt niet alleen in de recorder.De camera kan zelf analyseren. 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