Melexis teams for anti-spoofing AI with ToF sensor

Melxis in Belgium has worked with video codec software developer MulticoreWare in California on a new anti-spoofing AI face recognition algorithm using a time of flight (ToF) sensor. The two companies developed face understanding algorithm modules such as face detection, face recognition, drowsiness/distraction detection and anti-spoofing detection using a Melexis EVK75027 ToF sensor for automotive applications such as driver and passenger monitoring. MulticoreWare enhanced the internal data annotation tool by using distance images to label precise face key points. Using this information, a custom annotated dataset was created and used to train neural networks for face identification and recognition. The system is able to operate accurately and reliably in diverse illumination settings. The partnership demonstrates the effectiveness of AI using ToF cameras to achieve robust performance for a wide range of in-cabin applications such as driver authentication, drowsiness detection, driver attentiveness, etc. "It was a pleasure collaborating on this joint demonstration.