Automatically recognizes and records license plates that enter an IP camera’s field of view. Addresses various critical requirements in recognition especially when camera shakes due to wind or storm, low illumination and number plate not perpendicular to the camera.
Permits traffic volumes to be evaluated and to discover where people tend to move about the most. As a result of the module’s operation, the zones in which most traffic is noted are highlighted in red and in real time.
Both waiting time and service time are detected using the queue length detection tool in real time,identifying the load on points of client service.
Automatically identifies optimal portraits from the video stream (reference images). Such images are stored in a database for subsequent identification. High accuracy of recognition is possible due to the module’s innovative technology that biometrically indexes facial features using deep machine learning.
Tracks moving objects within the camera’s field of view.