Traditional campus security primarily relies on surveillance systems. Without dedicated personnel on duty, these systems are essentially just for show, only useful for obtaining evidence afterwards. With numerous cameras, it is impossible to constantly monitor the screens, and abnormal events can be missed at any time, including potential risks that are either occurring or not occurring .....
Potential safety hazards in various fields of schools emerge one after another:
★ Accidents caused by students' roughhousing and pulling
★ Accidents caused by fires in electric bike sheds during charging
★ Accidents caused by food safety and hygiene in the kitchen
★ Accident caused by a student breaking into the laboratory without permission and coming into contact with hazardous chemicals
★ Accidents caused by bullying by top students
★ Accidents caused by students chasing, playing, and climbing over fences
★ Accidents caused by social personnel committing violence on campus
★ Accidents caused by students climbing over the fence to skip classes
★ Students trample and damage flowers and public property
★ Linger at school gates, rivers and lakesides, and rooftops
★ Playing with fire and smoking in corridors, staircases, and remote areas
★ Accidents caused by water dispenser-related safety issues
How can we predict risks in advance and effectively address potential safety hazards on campus? Chengdu Weitong Information Technology Co., Ltd., leveraging the AI behavior analysis system, will perfectly solve these problems.
Based on the "human behavior + facial recognition + object recognition + voice recognition" behavior analysis system, Chengdu Weitong Information Technology Co., Ltd. will achieve intelligent risk perception, dynamic early warning, timely response, and rapid disposal through multi-modal analysis by connecting with the school's surveillance system signals, thereby enhancing precise early warning and control capabilities.
