{
  "@context": "https://schema.org",
  "@type": "article",
  "@id": "https://anchorfact.org/kb/ai-surveillance-systems",
  "headline": "AI for Surveillance Systems: Object Tracking, Anomaly Detection, and Intelligent Monitoring",
  "description": "AI surveillance sees everything, everywhere, all at once -- tracking objects across hundreds of cameras, detecting anomalies in real-time, and enabling forensic search through weeks of footage in seconds. The technology raises fundamental questions about privacy, bias, and the balance between security and civil liberties.",
  "dateCreated": "2026-05-24T02:49:13.572Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Deep Learning for Intelligent Video Surveillance: Object Tracking, Action Recognition, and Anomaly Detection (2024-2025 Comprehensive Survey)",
      "sameAs": "https://arxiv.org/search/?query=video+surveillance+deep+learning+tracking+anomaly"
    },
    {
      "@type": "CreativeWork",
      "name": "AI Surveillance Ethics: Facial Recognition Regulation, Bias, and the Right to Privacy in Public Spaces",
      "sameAs": "https://arxiv.org/search/?query=AI+surveillance+ethics+facial+recognition+regulation"
    }
  ]
}