International Journal of Scientific Research and Engineering Development

Road accidents are a major cause of mortality worldwide, particularly among two-wheeler riders. A significant percentage of these accidents are attributed to drunk driving, non-usage of helmets, and delayed emergency response. To address these critical issues, this paper proposes a Smart Helmet system integrated with Internet of Things (IoT) technology for alcohol detection, accident detection, and real-time emergency notification. The system incorporates an alcohol sensor to detect alcohol concentration in the rider’s breath and automatically disables vehicle ignition if the level exceeds a predefined safety threshold. An IR sensor ensures helmet usage before enabling ignition. A vibration sensor is employed to detect accident events by sensing sudden impacts or abnormal shocks. Upon detecting an accident, the system retrieves the rider’s real-time geographical coordinates using a GPS module and transmits alert messages via a GSM module to predefined emergency contacts and nearby medical services. The entire system is controlled using an ESP32 microcontroller, enabling efficient sensor integration and real-time decision-making. The proposed IoT-based smart helmet enhances preventive and reactive safety measures, thereby reducing road fatalities and improving intelligent transportation systems.

Shifa Bilal Tamboli, Simeen Phiroj Mulani, Arman Tajuddin Shiakh,"Smart Helmet for Alcohol Detection Accident Detection and Notification Using IOT" International Journal of Scientific Research and Engineering Development, V9(2): Page(2576-2580) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.