Through AI human detection technology, it can accurately make "human abnormal intrusion/abnormal stay judgment" for the monitoring area in a specific area to avoid strangers from breaking in.
Control the entry and exit of vehicles on campus strictly , release eligible vehicles according to the white list, plan daily or weekly authorization updates for resident vehicles and visiting vehicles, and integrate the charging system to achieve a cloud billing mechanism, reducing the retrieval time spent on vehicle tracking in the future.
Provide irregular warning area settings, with electric motorized lenses, it is convenient for monitoring units to remotely adjust the needs of the identification area.Through the connection of GMS system, real-time monitoring alarm information and event record query can be grasped.
Set up an emergency kiosk, in the event of an emergency on an empty campus, call the police as soon as possible, assemble a rescue mold on the campus, and help the central control center understand the current situation through the real-time video function.The module introduces the AI face capture function to prevent malicious triggering of behaviors and assist in event recording.
Through the integration of video images from all areas of the campus through the monitoring system, the system is highly compatible,
can include thousands of camera images, and perform remote monitoring, access to images, playback, real-time warning and other management functions.
You can set up hundreds of management accounts, set account management permissions, manage them hierarchically, and control the risk of image data scheduling.