Vehicle Accident Prevention and Detection System Based on Mobile Application

Using IoT and cutting-edge sensor technology, this article offers a comprehensive approach to vehicle accident detection and prevention. An Arduino microcontroller is coupled to modules for Ir, alcohol, accelerometer, LiDAR, and GSM in the suggested system. Technology is able to recognize intoxicated drivers, identify possible collisions, and identify accidents in real time by keeping an eye on the environment around the car. It alerts users and notifies designated contacts via emergency SMS notifications with GPS locations whenever it detects an unsafe condition. Real-time alerts and data for improved road safety are provided by a mobile app that communicates with the system.