{
  "record": {
    "id": "d987f784-d5d0-4eba-a241-2fc555eaa7a0",
    "code": "PAI-D987F784",
    "force": "Dutch Police (Politie)",
    "country": "Netherlands",
    "country_code": "nl",
    "is_country": true,
    "region": "Netherlands, national",
    "technology": "Video Analytics Search (BriefCam)",
    "technology_slug": "briefcam",
    "vendor": "BriefCam",
    "vendor_slug": "briefcam",
    "programme": "",
    "status": "operational",
    "stage": "in-use",
    "evidence": "official",
    "evidence_is_claim": false,
    "since": "2018",
    "legal_basis": "Not detailed in the source reviewed",
    "oversight": "Documented via the Dutch government's own public algorithm register, a transparency mechanism",
    "notes": "The Dutch police's own entry in the government's official algorithm register describes a tool using convolutional neural network and deep learning models to identify moving objects in video and classify them by characteristics including type (person or vehicle), colour, size and direction of movement, letting investigators combine filters such as a person on a bicycle wearing a particular colour travelling in a particular direction. Results are reviewed by police staff; the register states the algorithm itself does not make investigative decisions. This is one of the clearest official public descriptions found anywhere of how this class of video analytics tool actually works.",
    "source": "Dutch government algorithm register (Algoritmeregister)",
    "source_url": "https://algoritmes.overheid.nl/",
    "last_checked": "2026-08-26",
    "record_url": "https://www.policeainews.com/tracker/record/d987f784-d5d0-4eba-a241-2fc555eaa7a0"
  },
  "licence": "https://www.policeainews.com/data#licence"
}