Spoofing attacks are a common vulnerability to all 2D facial recognition systems, attempts at resolving the issue traditionally use extra hardware (IR Sensors, extra camera), and/or complex computer vision algorithms that don’t work very well and often require additional effort on behalf of the user.

At Chui utilize deep learning and AI to identify fake faces (attack attempts), prevent access, and notify the user in real time. Deep learning and the work we do at Chui is increasing security and enabling unmanned facial recognition to work in practice.