The proposed system aims to lessen the number of accidents that occur due drivers’ drowsiness and fatigue, which will in turn increase transportation safety. This is becoming a common reason for recent times. Several faces body gestures are considered such as signs fatigue drivers, including tiredness eyes yawning. These features an indication driver’s condition improper. EAR (Eye Aspect Ratio)...

The advance of computing technology has provided the means for building intelligent vehicle systems. Drowsy driver detection system is one of the potential applications of intelligent vehicle systems. Previous approaches to drowsiness detection primarily make pre-assumptions about the relevant behavior, focusing on blink rate, eye closure, and yawning. Here we employ machine learning to data-mi...

Currently, the traffic accidents study is become important because they produce several died and hurt around the world. In this paper, a new Driver Assistance System (DAS) for automatic driver’s drowsiness detection based on visual information is presented. This algorithm works on several stages. Once is to localize the face position using Viola and Jones (VJ) object detector. Another is to loc...