YAWNING ANALYSIS FOR DRIVER DROWSINESS DETECTION

Abstract

Driver fatigue is the main reason for fatal road accidents around the world. In this paper, an efficient driver’s drowsiness detection system is designed using yawning detection.Here, we consider eye detection and mouth detection. So that road accidents can avoid successfully. Mouth features points are identified using the redness property. Firstly detecting the driver’s face using YCbCr method then face tracking will perform using canny edge detector. After that , eyes and mouth positions by using Haar features. Lastly yawning detection is perform by using mouth geometric features. This method is tested on images from videos. Also proposed system should then alert to the driver in case of inattention. Keywords: Face detection, Face tracking, Eye and Mouth detection, Yawn detection