AI Face Recognition
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.
AI FACE RECOGNITION – OUTCOME
module fr.dll
An intelligent dynamic and cross-platform face recognition & detect library with a
pre-configured base of people(residents, staff, customers)
- ~0.1
sec/frame – effective face detection system that provides high percentage of correct detections, and low false detection rate in short time
- ~0.2
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
- ~95%
high recognition accuracy allows to minimize false positives, effectively using the face recognition module to solve the tasks
- 500k
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
