It analyzes landmarks, key points of the face of an individual, and the distance between them, to recognize the person. It authenticates the identity recognizing movements and actions such as a wink or a smile to avoid identity theft and guarantee the person is alive. It is cross-platform and can be integrated with Microsoft systems. The solution works by evaluating, in real time, the video captured by the device camera. It can identify whether the user is on the move or not, to see, understand, interact and learn from their environment. The client can choose how many gestures the system will require to validate the identity, and it can be easily integrated to any existent platform. It can be implemented as second factor of authentication after the traditional username and password or mobile tokens, for example.
VU Face Recogn leverages Azure's Cognitive Services so that biometric matches are at their most precise. It's proof-of-life and antispoofing layers will enable organizations to create login mechanisms based on biometrics.