Artificial intelligence technology has been more and more integrated into the field of video surveillance. Recently, we have also released many new functions based on AI intelligent video cloud storage/security surveillance video AI intelligent analysis platform. Detect, track and capture faces, human bodies, and objects in real-time video, and support face detection, helmet wearing detection, human body detection, area intrusion detection, vehicle structured data, etc.
In the back kitchens of many restaurants, schools, and canteens in parks, there are often people who do not wear chef hats or uniforms in accordance with the back kitchen rules and regulations due to the hot environment and weak hygiene awareness. Food safety is no small matter. Failure to follow the food safety rules and regulations to carry out back kitchen operations will not only reduce food safety, but also allow the group where you work to bear certain risks. Facing these problems, TSINGSEE Qingxi AI video intelligent analysis platform has a good solution.
1) First, deploy the EasyCVR video fusion platform on the public network server of the school or restaurant;
2) Connect the monitoring equipment of the school or restaurant to the public network server through the national standard GB28181 protocol or Haikang Ehome;
3) Deploy the AI intelligent analysis gateway on the intranet, and the cameras in the scene that require intelligent detection will be connected to the intelligent analysis gateway through the RTSP protocol, such as the back kitchen of the canteen and the warehouse;
4) In the monitoring scene of the school or restaurant, select the AI algorithm type of the bright kitchen (cook hat wearing recognition, mask recognition, rat infestation recognition, etc.);
5) Push the results of AI intelligent analysis to the video surveillance/video aggregation EasyCVR platform deployed on the public network.
In the bright kitchen scene on campus, the TSINGSEE Qingxi intelligent analysis gateway can provide AI+ video intelligent analysis capabilities, including face detection, face recognition, wearing masks/hats, wearing chef clothes, warehouse rat identification, smoking identification, playing games, etc. Mobile phone identification, garbage bin uncovered detection, hot fire and people detection, etc. Based on the campus comprehensive management platform, it can conduct comprehensive supervision on the environmental sanitation and safety of the monitoring areas such as the back kitchen, warehouse, side dishes, and cleaning of the campus canteen, detect irregularities in time, and send warning messages to supervisors in a timely manner.