Real Time Accident Avoidance Using Image Processing

Abstract

The increase in the number of vehicles has led to the rise in accidents. Most of these accidents are caused due to over speeding. According to World Health Organization (WHO) in 2017, speeding killed 4, 64, 910 people in India and this number is increasing day by day. Existing speed detection systems are installed on few roads hence is not efficient .Thus there is need for system which will be installed in individual vehicles rather than being installed on roads. Our system proposes a new data-driven system to recognize all speed limit signs captured by a camera mounted on a car. This camera captures images in real time and on performing image processing recognizes and provides relevant alerts to the driver driving the car. Also our system includes pedestrian detection to reduce fatalities to pedestrians crossing roads. It is achieved with the help of proximity sensor mounted on a car. In this way we attempt to design an automated system which is effective enough to compel drivers to maintain traffic discipline and reduce the number of casualties resulting from the same and to ensure pedestrians a safe commute.