Face recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which face recognition systems work, but in general, they work by comparing selected facial features from given image with faces within a database.
An intelligent dynamic and cross-platform face recognition & detect library with a
pre-configured base of people(residents, staff, customers)
sec/frame – effective face detection system that provides high percentage of correct detections, and low false detection rate in short time
sec/face learning features of each face which allows to form a database of people’s faces(DB) and check every detected face in real time
high recognition accuracy allows to minimize false positives, effectively using the face recognition module to solve the tasks
faces per second are searched in the database – the module works both as part of a single server, and in multi-server system with one mutual database of people