REVIEW PAPER ON YAWNING DETECTION TO PREVENTS ROAD ACCIDENTS

For the safety purpose of drivers yawning detection is very important. There are many important applications of yawning in a drivers fatigue detection, humans well behavior, driving behavior and understanding the language of tongue disability person. It is observed that heavy vehicle drivers keep going continuously driving without giving a frequent rest period. Considering above applications, an automatic detection of yawning is one important system component. Uptil now yawning detection system does not satisfy the real time requirement which is having a high computational complexity and does not satisfies the challenges like facial obstruction, ease of implementation, accuracy and safety. Uptil now there is no any idea suggested or presented on vehicle side hardware. In this paper we will be reviewing hardware of engine start or stop control by using microcontroller. In previous, for yawning detection two different algorithms are used such as for face viola-Jones and mouth detection contour activation algorithm. Previously presented systems are in position to recognize other persons faces while finding the biggest face in all of the frame that we are interested and other faces also considered; hence face search time is not optimized. By studying these disadvantages of traditional yawning detection method possible improvement algorithm is proposed.