An Approach to Prevent Road Accident using Intelligent Device

Transport is one of the pillars of the economy of any country: every year government and car/vehicle manufacturers spending a lot of money on road safety. But unfortunately, crashes on roads cause various problems for the government. The main factors that cause fatal crashes, grievous injuries, and deaths are of varied nature. The type of roads, the structure of ways, weather conditions, and behaviour of the driver are a few pertinent factors that are studied and relationship identified. This paper describes a device that is capable to locate crashes early. In case if a crash occurs, the device can recognize and send information to the nearest hospital and police station. There are two acoustic signals analysed, vehicle crash sound and human distress call (generated during crashes/accidents). For recognition of both the sounds, this paper describes an algorithm based on acoustic signal processing. The algorithm was tested in the lab and it is robust and the efficiency of the algorithm 94.7% to detect a collision.