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Automatically adapts to varying levels of light and changing weather conditions, providing 24/7 High Definition (HD) video coverage for key areas.
When a suspicious individual enters a campus, the system generates an alarm in real time and can produce tracking information based on the individual's activities, effectively improving campus security management.
Deep Learning (DL) algorithms are deployed to detect genuine intrusions and rule out trivial disturbances caused by the weather and small animals, resulting in more accurate threat identification.
With cameras used to monitor premises and key locations, security personnel can observe surveillance video and complete random security checks remotely. When necessary, a security guard can be dispatched to the scene with one-click deployment. The system also generates patrol reports.
Authorized individuals are granted access in seconds at campus entrances and exits, generating an alarm when any unauthorized entry is detected, effectively preventing security breaches.
Registered vehicles can easily enter and exit the campus automatically, preventing unnecessary congestion during peak hours and collecting traffic flow data in real-time, facilitating intelligent and efficient campus management. This allows security personnel to easily issue an alert and search for a specific vehicle that has entered the campus.
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