Advanced Fog and Pollution-Resistant Accident Detection System

The major problem in most foggy regions and polluted cities is accident detection and avoidance. To tackle these issues, we propose an advanced system designed to enhance vehicular safety in such conditions. This method can be implemented to rescue victims of accidents in the foggiest regions. As accidents occur most frequently, we use an AVR 16-bit microcontroller in this system with RISC architecture. In our proposed system, we use ultrasonic sensors to penetrate the mist and detect objects. ADXL sensors are utilized to locate the vehicle. GSM and GPS systems are used to locate objects and to communicate with the user in emergencies. Hence, this may be used in automobiles, particularly in hazy environments. Accidents will also be reduced with timely rescue by our proposed system.