This paper presents a real-time driver drowsiness detection system for driving safety. Supported computer vision
techniques, the driver’s face is found from color video captured in an exceedingly car. Then, face detection is used to locate the regions of the driver’s eyes, which are used because the templates for eye tracking in subsequently frames