An IoT Based Automatic Accident Detection and Tracking System for Emergency Services

Yellamma Pachipala, Tumma srinivas Rao, G Siva Nageswara Rao, D Baburao

Road accidents are serious cause of deaths, injuries and loss of property every year in India. The present accidents are enlarged to a larger extent. An according to the NCRB (National Crime Records Bureau) 2018 information 682,985 accidents are recorded. Mainly 172,736 traffic related deaths are recorded in India. Year by year the number is rapidly rising. The emergency vehicle is to arriving at the accident location is delay. Because in major cases an accidents location and to the hospital is involving to the traffic. As a result, an insistent requirement is to recognize the deterioration situation in road accident injuries and deaths to find take action. In case of traffic; it is significant to have vital board of the complete set-up to organize access to calamity services. This proposed system is mainly focusing on reducing the number of deaths and traffic control in road accidents. Thus, we implemented a method for real world emergency traffic monitoring using sensing technology and the Internet of Things (IoT). In Proposed method, crash sensors are applied to identify the accidents and pass the information to close to calamity services and family members through GSM. An accident position is finding by using Google map, manages the traffic signals and serving towards arrive at the hospital in time. Our proposed system is completely works automatically. In our proposed work, an integration of Ultrasonic, mic sensors and MEMS are used for accidents detection.

Volume 12 | Issue 2

Pages: 111-117

DOI: 10.5373/JARDCS/V12I2/S202010013