ROAD SAFETY BY REAL TIME EYE DETECTION FOR DRIVER DROWSINESS

Automobile has become a major part in our lives. They are used for transportation of people, items and many other from one place to another. Even though the driver is tired, sleepy or has consumed alcohol he/she tries to drive a vehicle without any anxiety. As a result, it causes road accidents, injuries, loss of lives and damage to property. The proposed solution will be implemented using image processing, computer vision and facial recognition techniques to increase the efficiency and the accuracy of the system. To avoid such problems, an Eye-tracing system based on camera is proposed. By using this system, it detects and gives alert to the driver’s Distraction or sleepiness. For this the dashboard is chosen as best position for camera without giving difficulties to the driver. The system will detect the driver’s face and eyes by using Viola-Jones Algorithm that includes Hear Classifiers that shows advantage in processing accurate time and detection algorithms. A prepared framework is tested in a simulator provides real driving conditions in an indoor environment. The system is added in real-vehicle for testing it in an outdoor environment. If the system detects that the driver is under distraction or sleepiness it gives an alert to the driver by displaying message on a screen and an audible sound for more attention.