At CeBIT 2014, ZTE has launched the Clues Analysis System (CAS), an important part of ZTE’s U-Safety public safety solution.
With its intelligent analysis of surveillance video, ZTE can quickly identify suspicious persons, vehicles and goods for detection. This greatly improves the speed of data investigation, reduces the workload of video analysis and checkpoint investigation, prevents the missed detection caused by fatigue, and saves manpower.
Based on video management systems, ZTE developed the function of identifying faces and license plates among massive video clips and integrated gathering, mining and analyzing massive checkpoint data.
ZTE said feature analysis intelligently identifies the feature information of targets, such as face, body appearance, license plate, vehicle appearance, and goods appearance. Behavior analysis investigates the behavioral information of targets, such as gathering of people, gang fighting, virtual wall transboundary, people wandering, traffic congestion, and vehicle violation.
The CAS has improved face match and license plate retrieval functions. Face retrieval helps identify all the faces available in massive video clips and match faces to get the related video clips. The face detection rate is greater than 98 percent. License plate retrieval helps to retrieve vehicles according to the character strings of specified license plates and get the related video clips.