Motion detection with people distinction is a feature in AI camera systems that distinguishes between motion of people and motion of other objects such as cars, animals or trees. It relies on algorithms able to analyse the image and recognise characteristic features of the human body.
Benefits of motion detection with people distinction
- Higher security: the feature lets you raise the alarm in time about unauthorised entry into a protected area while eliminating false alarms caused by animals, branches or shadows.
- Fewer false alarms: false alarms are frustrating and reduce the camera system's credibility. Distinguishing people from other objects eliminates up to 99% of false alarms, saving operator time and effort.
- Higher monitoring efficiency: operators can focus only on relevant events, significantly improving their efficiency.
- Possibility of automatic tracking: some AI camera systems can automatically track people in the frame, making the operator's work easier.
How motion detection with people distinction works
- Image capture: the camera records the monitored scene.
- Image analysis: algorithms analyse the image and look for characteristic features of the human body or evaluate all motion.
- Person recognition: if the algorithms find enough characteristic features, they recognise a person.
- Motion distinction: the system compares the current image with the previous one and determines whether motion occurred.
- Alert: on detecting motion of a person the system can send an alert to the operator, start recording or take other actions such as triggering an alarm.
Types of motion detection
- Motion detection: the system detects any motion meeting the rules within a grid of squares.
- Motion detection with person detection: the system detects only human motion meeting the rules within the defined grid.
Motion detection with people distinction is a valuable feature that improves security, reduces false alarms and enables more efficient monitoring.
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°. Recommended detection distance is 10–15 m. There must be no objects between the person/vehicle and the camera causing shadowing. Failing these conditions can lead to incorrect operation of the detection features.
