Smart Helmet with IoT Integration: Enhancing Rider Safety with Real-Time Hazard Alerts

Bike accidents, particularly among young riders, contribute to a significant number of deaths worldwide. Key factors such as alcohol consumption, poor road conditions, and the lack of proper safety gear are major contributors to deaths. The study proposes a smart helmet system designed to identify potentially hazardous situations and enhance bike rider safety. It incorporates sensors for helmet detection, alcohol monitoring, fall detection and road condition alerts. Utilizing ESP-NOW communication, the helmet and bike unit collaborate to control the bike’s ignition based on real-time safety conditions. If a rider fails to wear the helmet, consumes alcohol, or experiences a fall, the ignition is automatically turned off. Additionally, the system provides timely notifications for road humps, accident-prone areas and poor road quality by leveraging GPS and a grid-cluster technique to optimize performance. Emergency SMS alerts with GPS location are sent in the event of fall detection or alcohol consumption. Overall, this smart helmet system offers a comprehensive solution to improving rider safety by actively preventing accidents and responding swiftly to hazardous situations.