Surveillance data, structured

Search cameras by location, type, and country.

GET /v1/cameras?lat=48.8566&lng=2.3522&radius=1000&type=alpr,cctv

{
  "data": [
    {
      "id": 42891,
      "latitude": 48.8571,
      "longitude": 2.3515,
      "type": "cctv",
      "operator": "Prefecture de Police de Paris",
      "jurisdiction": "Paris",
      "country": "FR",
      "confidence": "high"
    }
  ],
  "meta": { "count": 127, "limit": 100 }
}

Surveillance density statistics for any location.

GET /v1/cameras/stats?lat=51.5074&lng=-0.1278&radius=5000

{
  "data": {
    "total": 1847,
    "density": 23.5,
    "rating": "A",
    "by_type": [
      { "type": "cctv", "count": 1203 },
      { "type": "alpr", "count": 412 },
      { "type": "speed_camera", "count": 232 }
    ]
  }
}

Comprehensive surveillance exposure analysis for any location.

GET /v1/exposure-report?lat=40.7128&lng=-74.0060

{
  "data": {
    "exposure_level": "high",
    "rings": [
      { "radius_meters": 250, "total": 12 },
      { "radius_meters": 500, "total": 34 },
      { "radius_meters": 1000, "total": 89 },
      { "radius_meters": 5000, "total": 412 }
    ]
  }
}

Coverage statistics by country.

GET /v1/countries

{
  "data": [
    { "country": "US", "camera_count": 271352, "type_count": 10 },
    { "country": "FR", "camera_count": 60983, "type_count": 2 },
    { "country": "IT", "camera_count": 12120, "type_count": 2 }
  ],
  "meta": { "total_countries": 104 }
}

Analyze surveillance exposure along a commute or travel route.

GET /v1/route-score?waypoints=49.28,-123.12,49.27,-123.10&corridor=200

{
  "data": {
    "route_length_meters": 1847,
    "corridor_meters": 200,
    "total_cameras": 23,
    "cameras_per_km": 12.5,
    "grade": "D",
    "by_type": { "cctv": 15, "alpr": 6, "speed_camera": 2 },
    "segments": [
      { "start": { "lat": 49.28, "lng": -123.12 }, "cameras": 14 },
      { "start": { "lat": 49.27, "lng": -123.10 }, "cameras": 9 }
    ]
  }
}