Driver drowsiness detection technique using raspberry pi
This paper presents a real-time driver drowsiness detection system for driving safety. Based on computer vision techniques , the driver’s face is located from a color video captured in a car. Then, face detection is employed to locate the regions of the driver’s eyes, which are used as the templates for eye tracking in subsequent frames. Finally, the tracked eye’s images are used for drowsiness detection in order to generate warning alarms. The proposed approach has three phases: Face, Eye detection and drowsiness detection.