Viability of Viola-Jones Algorithm for Drowsiness Detection in Drivers

This research paper investigates the viability ofusing the Viola-Jones algorithm for drowsiness detection in drivers. The algorithm is designed to detect the presence of a face, locate the eyes within the face region, and then calculate the Eye Aspect Ratio (EAR) to determine if the eyes are open or closed. The study uses a dataset of images of the driver’s face and tests the algorithm's performance under various lighting, pose, and expression variations. The results show that the Viola-Jones algorithm is a robust and effective method for detecting drowsiness in drivers, achieving high accuracy rates even in challenging conditions. The paper concludes by discussing the potential applications of this technology in real-world settings, such as in the development of driver assistance systems for improving road safety.