Abstract:
Our project is based on creating an accident detection and reporting platform. An alarming number of deaths are caused by delayed arrival of emergency services at the location of accident. The project was aimed with designing a solution that can mitigate the delay in response time from user end and introduce a smart solution in that regard.
A prototype was designed for motorcyclists with an accelerometer and gyroscope sensor; to get raw values regarding orientation and sudden changes in speed. These values were fed into a Raspberry Pi 0W, microcontroller that determines whether an accident has occurred or not. In case of an accident, microcontroller communicates with android application on the phone via Bluetooth where user information is stored. The smartphone is used for intimating emergency services and contacts. Machine Learning has been implemented to reduce false positives.
This project aims at designing a scalable and economical accident detection platform with the ability to add additional features as per user requirement.
