Smart helmet for accident detection and prevention using IoT

Motorcycle accidents are a significant contributor to road fatalities worldwide. Many of these accidents are due to the non-wearing of helmets or delayed emergency response times. This paper proposes a Smart Helmet system integrated with Internet of Things (IoT) technology to enhance rider safety by ensuring helmet usage, detecting accidents in real-time, and sending alerts to emergency services. The system consists of sensors such as accelerometers, alcohol detectors, GPS, and GSM modules embedded in the helmet. When an accident occurs, the system automatically detects the event and transmits the location to predefined emergency contacts. The proposed solution also prevents the bike from starting unless the helmet is worn and the rider is sober. The implementation shows promising results in real-world simulations and offers a low-cost, scalable approach to improving motorcycle safety.