Automatic Accident Alert System – Early Accident Prediction and Warning for the consumers

Road accidents are extremely common nowadays. On-time delivery of medical assistance can save lives. The mortality rate is reduced and lives can be saved by eliminating the time between when an accident occurs and when first responders are dispatched to the scene. In this work a vehicle automatic accident detection and notification systems is implemented with Raspberry Pi which has high computation speed for theft detection, fuel monitoring, location tracking using GPS, alcohol monitoring using MQ-3 sensor, bump sensors, accelerometer to detect roll-off, livestreaming the visuals onto a secured webpage to determine the accident’s occurrence. In order to drive the car over long distances and enable encrypted communication between the transmitter and receiver, the car's movements are controlled using an Arduino interfaced with an RF drone controller. This system's goal is to notify emergency services of the accident and to track and detect the exact location of any automobile that has been involved in a collision.