Face detection is the first half of face recognition, and it consists of three consecutive steps, namely face detection, landmark detection, and face alignment. The process starts by locating where a face is or faces are in a visual input. Upon successfully detecting a face, the algorithm then goes on to extract landmark points that are to be used as it aligns and crops the image making it the right size so that it can be processed further.

Face anti-spoofing is a function that detects whether the visual input received is from a real person physically present at the point of capture, and it runs not only on IR cameras, but also on RGB cameras. With a true positive rate as high as 99%, which then functions as a highly effective measure for preventing identity theft, ALCHERA’s anti-spoofing has been applied to a variety of industries where there is a need for such physical and/or digital security.