People-crowding detection in AI camera systems is a feature that automatically recognises and tracks groups of people gathering in a defined area. It relies on algorithms able to analyse the image and distinguish between groups of people and individuals.
Benefits of people-crowding detection
- Greater security: crowding detection lets you raise the alarm in time about potential threats such as riots, demonstrations or fights.
- Crime prevention: the feature helps prevent group-based criminal activities like theft, vandalism or assault.
- Smooth operations: it helps keep traffic flowing in busy places such as airports, train stations or shopping centres.
How people-crowding detection works
- Image capture: the camera records the monitored scene.
- Image analysis: algorithms analyse the image and count the people in the frame.
- Crowding determination: if more people than the threshold are present, the system flags the situation as crowding.
- Alert: after detection the system can send an alert to the operator, start recording or trigger an alarm.
People-crowding detection is a valuable feature that enables more efficient monitoring and crime prevention.
Conditions for proper detection
The security camera must be mounted at 2–4 m height. The tilt angle relative to horizontal must not exceed 30°. Detection range is 10–15 m. There must be no obstacles between the monitored person/vehicle and the camera causing shadowing. Failing these conditions can lead to incorrect operation of the detection features.
