Design and Development of IOT Based Smart Safety Helmet for Bike Riders
[1] Kirubakaran N
Department of Electronic and Communications Engineering, Sri Venkateswaraa College of Technology,
kirubakaran.n11@gmail.com
[2] Daniel Abraham J
Department of Electronic and Communications Engineering, Sri Venkateswaraa College of Technology,
Danielabraham.j3@gmail.com
[3] Santhosh H
Department of Electronic and Communications Engineering, Sri Venkateswaraa College of Technology,
sansanthosh1803@gmail.com
[4] Sandhiya M
Department of Electronic and Communications Engineering, Sri Venkateswaraa College of Technology,
sandhiyasandhi298@gmail.com
[5] Sudhagar M
Assistant Professor, Department of Electronic and Communications Engineering, Sri Venkateswaraa College of Technology,
sudhagarpgmj@gmail.com
Abstract-The rise in road traffic accidents, particularly among two-wheeler riders, has highlighted the urgent need for enhanced safety measures. The 'IoT-Based Smart Safety Helmet System for Bike Riders' addresses critical safety challenges such as helmet non-compliance, drunk driving, and delayed accident response through an integrated, real-time safety mechanism. This system leverages the Internet of Things (IoT) to enforce helmet usage, monitor alcohol consumption, detect accidents, and send automated emergency alerts. It comprises two ESP32-based units one embedded within the helmet and the other installed on the bike. To ensure safety, the helmet section incorporates an IR sensor for helmet detection, an MQ-3 alcohol sensor for intoxication monitoring, and an MPU6050 sensor for identifying abrupt movements associated with falls. The bike unit receives this data via ESP-NOW wireless communication. A relay module connected to the bike’s ignition allows the bike to start only if the rider is sober, wearing a helmet, and no accident is detected. In case of a fall, the system triggers the GSM module to send an SMS alert to a preconfigured emergency contact. The system continuously monitors rider safety conditions even after ignition. Real-time enforcement of safety rules eliminates dependency on manual checks and significantly improves response time in emergencies. The proposed system is cost-effective, scalable, and highly applicable in both personal and commercial transportation. It enhances road safety standards and supports intelligent accident prevention, making it a viable solution for reducing road fatalities and promoting responsible riding practices.
Keywords— IoT, Smart Helmet, ESP32, Alcohol Detection, Accident Alert, GSM, Safety System, Two-Wheeler, Real-time Monitoring
