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Camera settings reference

This page lists every parameter of the camera configuration panel described in Cameras, section by section. Where a parameter offers named presets, the numeric value behind each preset is given in brackets; Custom always lets you type your own value. "External" resources run in the shared detector, extractor and liveness services, "internal" ones run inside the camera container itself; GPU options need a GPU-enabled deployment (see GPU acceleration).

General​

ParameterDescription
Camera nameDisplay name used in event cards, filters and the history.
Service nameRead-only. The camera slot (one of the cam-1 to cam-5 containers) processing this camera.
RTSP / Video sourceRTSP URL of the stream, including credentials if the camera needs them.
EnabledStarts or stops processing of the stream.

Buttons: FILTER IN HISTORY opens the event history filtered to this camera; DELETE removes the camera.

Detection timing​

Detection timing section

ParameterDescriptionDefault
Detection / Extraction intervalHow often a frame is taken for detection and extraction: Conservative (1000 ms) saves resources, Moderate (500 ms) balances load and latency, Fast (250 ms) gives the lowest latency at the highest load, Custom sets separate detection and extraction intervals.Moderate (500 ms)

Face processing​

Face processing section

ParameterDescriptionDefault
Face detector resourceNone, CPU internal, CPU external, GPU internal, GPU external, Any external (CPU or GPU by current utilisation).CPU internal
Confidence threshold (0-10 000)Minimum detection confidence: Include low quality faces (1200), Only good faces (1500), Only perfect faces (3500), Custom.Only good faces (1500)
Min face sizeSmallest face detected, in pixels.35
Max face sizeLargest face detected, in pixels.600
Max facesMaximum faces detected per frame. Lower it to the real need of the scene; it has a large effect on throughput.20
Face save strategyAll stores every face of a person; Balanced stores the first face and any later face with better quality or score; MatchedOnly stores only faces matched to a watchlist member (with the same improvement rule). All can generate very large amounts of data.Balanced
Face detector algorithmBalanced (speed and accuracy) or Accurate (slower, more accurate).Balanced
Template generator resourceWhere face templates are extracted: CPU external, GPU external, Any external.CPU external

The platform links detected faces to the corresponding pedestrian. If either the face or the pedestrian of a linked pair is stored, the other is stored too, regardless of the save strategy of that section.

Spoof detection​

ParameterDescriptionDefault
Distant detector resourcePassive liveness for faces at a distance (walk-through scenes): None, CPU external, GPU external, Any external.None (CPU external when the section is switched on)
Distant liveness score threshold (0-100)Results below this score count as spoof. Default (90) or Custom.90
Nearby detector resourcePassive liveness for faces close to the camera (selfie-style scenes): same options as distant.None
Nearby liveness score threshold (0-100)Results below this score count as spoof. Default (90) or Custom.90

Both checks can run at the same time; click More resources to reveal the second one. Liveness results appear as spoof icons and in the Spoof attributes of the event detail; see Liveness for the conditions under which a check is performed.

Pedestrian processing​

Pedestrian processing section

ParameterDescriptionDefault
Pedestrian detector resourceNone, CPU external, GPU external, Any external.None
Confidence threshold (0-10 000)Optimal (2 500) or Custom.Optimal (2 500)
Min pedestrian sizeSmallest pedestrian detected, in pixels (20-10 000).80
Max pedestrian sizeLargest pedestrian detected, in pixels (21-10 000).2 000
Max pedestriansMaximum pedestrians detected per frame (1-1 000).20
Pedestrian save strategyNone stores only images linked to a face; All stores everything; Balanced stores the first image and any later image of better quality in the tracklet.Balanced
Pedestrian attributes extractor resourceExtracts age group, gender, body orientation, clothing and accessories: None, CPU external, GPU external, Any external.None

Object processing​

Object processing section

ParameterDescriptionDefault
Object detector resourceNone, CPU external, GPU external, Any external. At least one object type must be selected for detection to start.None
Confidence threshold (0-10 000)Optimal (6 000) or Custom.Optimal (6 000)
Min object sizeSmallest object detected, in pixels (20-10 000).80
Max object sizeLargest object detected, in pixels (21-10 000).2 000
Max objectsMaximum objects detected per frame (1-1 000).20
Object save strategyNone, All or Balanced, as for pedestrians.Balanced
Object typesClasses to detect. Vehicles: car, bus, truck, motorcycle, bicycle, boat, airplane, train. Animals: bird, cat, dog, horse, sheep, cow, bear, elephant, giraffe, zebra. Other objects: suitcase, backpack, handbag, umbrella, knife.none selected

Camera preview​

Camera preview section

ParameterDescriptionDefault
Preview enabledGenerates the MPEG1 preview stream with bounding boxes for the live monitoring page.Enabled
Preview qualityLow (426 px, 153 000 bit/s), Medium (640 px, 450 000 bit/s), High (1280 px, 1 400 000 bit/s) or Custom resolution and bitrate.Low
Preview profilesAttributes drawn next to a detection: Minimal (bounding box), AC/Security (box, member name), Retail (box, member name, age, gender), Full (box, member name, age, gender, order, face or pedestrian size, confidence or quality, template quality, yaw, pitch, roll), Custom (pick attributes).Minimal