This Paper is based on the road accidents occurring due to driving while intoxicated or negligence of the driver health anomaly of the driver and enhances the security system of the vehicle. As an occurrence of death by accident rate is increasing day by day, the above mentioned are implemented to reduce the accident rate. The accidents due to the drowsy state of the driver is prevented using eye blink sensor. Similarly accidents due to the intoxicated state are prevented using alcohol sensor which detects the alcohol from breath of the driver, if the driver is drunk then the buzzer indicates and the vehicle doesn't allow the driver to start the vehicle. If the driver is heavy-eyed, then the system will give buzzer signal and the speed of the vehicle is reduced.

1. Collision Prevention Using Eye Blinking and Head Movement (Proceedings published in International Journal of Computer Applications® (IJCA))
2. Physiological indicators based sleep onset prediction for the avoidance of driving accidents. (IEEE Paper).
3. Journal of Neuroscience Methods. (www. elsvier,com/locate/jneumeth)
4. Journal of Neuroscience Methods. (www. elsvier,com/locate/jneumeth)
5. Blink behavior based exhaustion detection. (From Linköping University, Dept. Biomedical Engineering, and LiU-IMT-EX-04/369 Linköping).
6. The AT Mega microcontrollers and Embedded Systems book by Muhammud Ali Mazidi, Janice Gillispe Mazidi
7. Eye Blinking Monitoring System for Vehicle Accident Prevention. (International Journal ISSN 0974-2174 Volume 3, Number 3 (2010).
8. Sensors and Actuators: Physical (www. elsevier. com/locate/sna).

Driver Exhaustion Perception Alcohol Detection In Vehicles Automatic Vehicle Movement Control Ir Sensor.