Face Recognition in Automotive Applications

Already available Advanced driver-assistance systems technologies, like lane departure, cruse control, blind spot detection, etc. are constructing a model of the external environment, helping to increase the security in traffic. With the advance of the autonomous driving, the car makers are shifting the focus also into the interior of the car. Face recognition, i.e. recognizing a person, based on a picture, which is highly available on social platforms(e.g. Facebook) poses a challenge when it has to be implemented in an automotive system, due to smaller computational power and lower memory currently available in such system. This paper explores the possibility to implement a face recognition on an automotive embedded system. The system is composed from a infrared camera, 1MPixel resolution, and an image processing unit based on TDA3x.