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Updated on 2023-07-12 GMT+08:00
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Highlights

Geofence

Geofences, powered by the intrusion detection algorithm, are set in important areas to prevent unauthorized intrusion and destruction. Geofences are mainly used in campus security and smart city scenarios. If management personnel see unexpected behavior in the video, they send personnel to deal with it to avoid losses. Multiple objects can be detected simultaneously and alarms are generated accordingly.

Figure 1 Geofence 1
Figure 2 Geofence 2

Crowd Counting

The crowd counting algorithm counts people in an image captured by a camera. You can configure line-crossings, areas, and heatmap detection duration to customize policies for supermarkets and communities.

Figure 3 Crowd counting 1
Figure 4 Crowd counting 2

Away-from-Post Detection

The away-from post detection algorithm is used to monitor if the persons assigned to the specified areas leave their posts for over a specified period of time. If they do, alarms are generated.

Figure 5 Away-from post detection 1
Figure 6 Away-from post detection 2

Fire Passage Obstruction Detection

The fire passage obstruction algorithm detects fire passage blockages and triggers alarms, facilitating intelligent and efficient campus management.

Figure 7 Detecting whether fire access routes are obstructed
Figure 8 Detecting whether fire escapes are obstructed

Safety Helmet and Reflective Clothing Detection

Backed by the work gear and helmet detection algorithm, cameras can detect persons who do not wear safety helmet or reflective clothing at construction site entrances or in specified areas. If violations are detected, alarms are generated and related photos are saved.

Figure 9 Safety helmet and reflective clothing detection
Figure 10 Safety helmet and reflective clothing detection