IoT Accident Detection & Smart Emergency Response System

Abstract: The rapid increase in road accidents has become a major global concern, often resulting in severe injuries or fatalities due to delayed emergency response and drunk driving. To address these challenges, this project proposes an IoT-based Accident Detection and Smart Emergency Response System integrated with Alcohol Detection. The system uses a vibration sensor to detect sudden vehicle impacts or tilts that may indicate an accident. Simultaneously, an MQ3 alcohol sensor monitors the driver’s breath for alcohol concentration.

If the detected level exceeds a preset threshold, the system automatically disables the vehicle ignition and sends an alert message to registered contacts, preventing the driver from operating the vehicle under the influence. In the event of a collision, the GPS module determines the exact location, and the GSM module sends an SMS alert containing the coordinates to emergency services and family members. The system can also be integrated with IoT cloud platforms for real-time monitoring.

This combination of accident detection, alcohol prevention, and automated emergency response ensures faster medical assistance and enhances road safety. The proposed system is cost-effective, reliable, and suitable for integration in both personal and commercial vehicles.