Detection or recognition camera with all geometry given
Ppm Calculation
Calculates CCTV pixel density at a target distance using horizontal camera resolution, sensor width, and lens focal length. The reduced pinhole-camera method estimates horizontal field of view, pixels per metre, and margin against a specified surveillance target density.
5 fields
3 archetypes
with-tool
3 scored fields
contract fields
Parameter Map
5 inputs to 3 scored outputs
horizontal_pixels
floatHorizontal camera resolution
640 to 12000pxsensor_width_mm
floatCamera sensor width
2 to 25mmlens_focal_length_mm
floatLens focal length
2 to 80mmtarget_distance_m
floatDistance from camera to target plane
1 to 200mtarget_ppm
floathidden in hardRequired pixel density target
20 to 1000px/m
Horizontal field of view at the target plane
Pixel density at target distance
Margin relative to target pixel density
visibility contract
Difficulty Ladder
Mixed camera objectives and target densities
Target PPM hidden in the surveillance objective
scenario bands
Archetype Atlas
detection_camera
2 contextsWide-angle detection camera
car-park / site-perimeter
recognition_camera
2 contextsRecognition camera at an access point
building-entry / station-gate
identification_camera
2 contextsHigh-density identification camera
cash-office / secure-room
rendered task
Generation Preview
building-entry-recognition-camera-preview
- difficulty
- hard
- visibility
- partial
- archetype
- recognition_camera
- site context
- building-entry
visible fields
- horizontal_pixels1920 to 8000 px
- sensor_width_mm4 to 12 mm
- lens_focal_length_mm6 to 25 mm
- target_distance_m5 to 50 m
withheld schema
Recognition camera at an access point. building-entry. Required outputs: horizontal_field_of_view_m, pixels_per_meter, target_ppm_margin_pct