A camera is the input
A conventional CCTV system records or displays video. AI video analytics adds models that analyse frames or sequences to detect patterns, track objects or support search. Analytics can run on a suitable camera, an edge device or a server.
The additional pipeline
Decode the stream, prepare frames, run inference, associate results across time and apply event rules. A video-management or operational application can then show a clip, timestamp and relevant detection for review.
Test the actual scene
Lighting, camera angle, resolution, occlusion and the training domain affect results. Test false alarms and missed events using representative footage. A confidence score is not a guarantee that an event occurred, and a detected object is not automatically an identified person.
Keep use proportionate
Define authorised purposes, access, retention and escalation. A useful alert preserves enough context for an operator to verify it. Recording video alone does not create an AI capability, and adding a model alone does not validate its operational performance.
Sources & further reading
Reviewed 19 October 2026. This is a technology learning session; examples describe possible designs, not a claim that a particular integration is active.
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