Advanced Driving Assistance Systems
Advanced Driver-Assistance Systems (ADAS) have been widely applied in traffic analysis, vehicle detection, vehicle number plate detection, traffic control, traffic congestion eradication, vehicle count, detect different lane on road and different speed detection instruments development. One of the most important and required features of ADAS, nowadays in traffic scenarios is to estimate the speed of the heavy and fast vehicles approaching from the backside. Many accidents occur on highways because of fast speed vehicles, and this is one of the biggest causes of the increasing rate of accidents on highways. Nowadays ADAS technology is widely used for various applications, generally in video surveillance systems. So video sequences are in use, for instance, tracking the vehicle and estimate its velocity.
Need for this System
The Indian Government has released the official statistics for road accidents, injuries and fatalities for the year 2017. As per the latest data in 2017, 4,64,910 road accidents were reported in the country, claiming 1,47,913 lives and causing injuries to 4,70,975 persons, which translate into 405 deaths and 1,273 injuries each day. This also means that 17 people were killed, and another 53 were injured every hour on Indian roads. Figures given above represent the accident statistics of Indian traffic. To reduce this problem, we have proposed a new helmet for estimating the speed of approaching vehicles while considering the scenario of motion of the camera.
