With the development of society and the improvement of people's living standards, the problem of water pollution has become more and more serious. Water resources supervision and governance have become a major problem for urban development. Floating garbage on the water surface will not only affect the ecological safety of rivers and hinder ship navigation, It will also affect people's health.
TSINGSEEE Qingxi AI intelligent analysis platform has a wealth of algorithms in environmental protection scenarios, including detection of floating objects in rivers, abnormal floating objects on water surfaces, water pollution in rivers, and intrusion detection in drinking water sources. Connect the video stream collected by the surveillance camera to the platform, and after configuring the relevant AI algorithm model, the video stream can be intelligently detected and analyzed. For example: in the park scene, when the system detects garbage floating on the surface of the lake or pond, it will immediately send out an alarm, and capture and record it. After viewing the alarm message, the management personnel can coordinate the staff to go to the scene to deal with it.
TSINGSEEE Qingxi AI intelligent analysis platform can automatically identify and give real-time early warning of garbage floating objects on rivers and lakes, and can also conduct real-time monitoring of human intrusion events in drinking water sources. With the help of AI algorithm, it can effectively make up for the lack of manual monitoring, reduce the intensity of personnel patrol work, and deal with abnormalities immediately, protect the water source environment at all times, and prevent ecological pollution of the water environment.
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. Faces, human bodies, vehicles, and objects in real-time video are detected, tracked, and captured, and face structured data, vehicle structured data, scene detection algorithms, industry detection algorithms, and personnel behavior detection algorithms are supported. Interested users can go to the demonstration platform for experience or deployment testing.
