Real-Time Nonintrusive Monitoring And Prediction Of Driver Fatigue

Passively monitoring a driver’s activities constitutes the basis of an automobile safety system that can potentially reduce the number of accidents by estimating the driver’s focus of attention. In this project a complete accident avoidance system is proposed by determining the driver’s behavior. As the main causes of vehicle accident were related to human factors, they could be labeled in one of the main driver’s distraction categories such as drowsiness, yawning and distracted vision. The main causes of the traffic accidents, discovered in the analysis of the driver behavior with the help of our system, will be used for the development of assistant devices and alarm systems that could help the driver to avoid risky situations. In this project we are implementing two image processing tool to get the facial geometry based on Viola Jones algorithm and skin color face detection method combined tracking. Frequencies of eye blinking and eye closure are used as the indication of sleepy and warning sign is then generated for recommendation, secondly outside an ego vehicle, road traffic is also analyzed. BP sensor is introduce to check the heart-beat of the driver, if any variation occurs in heart beating stop the car. Ultrasonic sensor is used to measure distance in front of cars. Break failure also detected.