Detecting Drivers Falling Asleep Algorithm Based on Eye and Head States

In the paper, we present an algorithm for detecting driver drowsiness based on computer vision techniques. The algorithm will issue a warning signal when drivers are dozing based on the state of eyes closing as well as the tilt of the head with a camera used to observe their faces. The proposed method determines six landmarks of eyes to detect eye closure and binocular coordinates to calculate head tilt angle. The results show that the proposed algorithm achieves an accuracy of up to 95.25% with 16 frames per second. The results show that the algorithm is suitable for development in real applications.