Vehicle Collision Avoidance System by Blind Spot Monitoring and Drowsiness Detection in Automobiles

Abstract

Driving a vehicle in the present traffic conditions is a great challenge for humans. So many automated techniques like auto braking, airbag exposure in case of collisions are introduced as vehicle safety systems. Driver’s unawareness about the presence of a vehicle or obstacle in the blind spot area and distracted driving are the main reasons, which cause vehicle collisions in the present scenario. The aim of the project is to take preventive measures against the vehicle collisions using 1.Blindspot Monitoring and 2.Drowisiness Detection techniques. This system prototype is built on the base of embedded platform using RASPBERRY PI microcontroller with ARM11 processor. 1. Blindspot Monitoring: This technique is used when there is an obstacle present in BSA and, during lane divergence; collision may occur in overriding situation. To avoid this phenomenon, ultrasonic sensors are used to detect the vehicles/obstacles in the blind spot region. 2. Driver Drowsiness Detection: The drowsiness of the driver is detected by capturing and processing image using MATLAB software. As soon as the driver feels sleepy, the microcontroller controls the DC motor connected to the wheels of the vehicle.