IOT Based Automatic Accident Detection and Rescue Management System

Road accidents are a major cause of injury and death worldwide, and delays in emergency response often lead to increased fatalities. This project proposes an IoT-based Vehicle Accident Detection and Rescue System designed to detect vehicular accidents in realtime and promptly alert emergency services, thereby reducing response time and potentially saving lives. The system integrates sensors such as accelerometers, gyroscopes, and GPS modules to continuously monitor the vehicle’s motion and location. Upon detecting an accident, the system automatically sends an alert message to predefined emergency contacts and nearby rescue services. This message includes the exact geographical location of the incident using GPS coordinates, ensuring rapid and accurate response. Additionally, the system uses a microcontroller (such as Arduino or Raspberry Pi) for data processing and a GSM module or internet connectivity to transmit the alert. A buzzer and display unit can also be integrated to provide real-time feedback to the vehicle’s occupants. The proposed system is cost-effective, scalable, and can be implemented in various types of vehicles to enhance road safety and emergency response efficiency.