Realtime Accident Detection and Alarm Generation System Over IoT

Abstract

In the recent scenario, there is a drastic improvement in transportation, infrastructure, and communication technology which increases the number of commercial as well as non-commercial vehicles. Therefore, there is also an increase in the number of accident incidence. This ultimately results in a high death rate due to a road accident. More than half of accident incidence results in death due to delayed medical aid to the victim. If medical aid or services received at the proper time, then the victim may survive. With the application of machine learning processes and communication advancements, there is scope for the development of a more accurate system. In this chapter, a model is presented based on IoT devices that can sense and predict the pre-accident/pre-collision state and generates an alarm message about the collision is going to occur. This model is designed to extracts image/video features to determine the possibility of occurrence of a collision. This model is also efficient for post-collision.

An intelligent road accident reduction system using device-to-device communication

“…Mahariba et al [9] proposed an automatic system of accident detection in vehicles like powered-twowheelers such that motorbikes in real-time scenario. An intelligent model based on IoT devices that can predict as well as sense the pre-accident or pre-collision stage of any accident is proposed in paper [10]. Based on that prediction it creates an alarm message regarding the collision or accident to make the driver aware of that accident.…”