International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Road safety remains a critical concern in modern transportation systems, with two-wheeler accidents contributing significantly to traffic fatalities worldwide. This paper presents an intelligent helmet system that integrates multiple safety features including alcohol detection, accident detection, and vehicle ignition control to enhance rider safety. The proposed system employs an MQ-3 alcohol sensor for real-time breath alcohol concentration monitoring, an MPU-6050 accelerometer and gyroscope for accident detection through impact and orientation analysis, and GPS-GSM modules for emergency location tracking and alert transmission. The helmet incorporates an Arduino microcontroller as the central processing unit, coordinating sensor data acquisition, processing, and actuation. The ignition control mechanism prevents vehicle startup when alcohol is detected above legal thresholds, while the accident detection algorithm automatically alerts emergency contacts with precise GPS coordinates upon crash detection. Experimental results demonstrate ninety-two percent accuracy in alcohol detection, ninety-five percent accuracy in accident identification, and response times under two seconds for emergency alert transmission. The system successfully integrates these functionalities in a compact, wearable form factor suitable for practical deployment. This research contributes to intelligent transportation systems by providing a cost-effective, multi-functional safety solution that addresses multiple risk factors simultaneously, potentially reducing accident rates and improving emergency response effectiveness for two-wheeler riders.

Keywords: Intelligent helmet, alcohol detection, accident detection, ignition control, IoT, Arduino, MPU-6050, GPS-GSM, rider safety, embedded systems.

Downloads: | DOI: 10.17148/IJARCCE.2026.15126