Published Paper Details:

In recent years, the integration of wearable technology and embedded systems has emerged as a promising solution to enhance road safety, particularly for two-wheeler riders. This research presents the design and development of an Arduino-Based Smart Helmet system that incorporates dual modules--helmet part and bike part--to ensure real-time accident detection, rider authentication, and emergency alert functionalities. The helmet module, powered by an Arduino Mini, is equipped with an alcohol sensor to detect the rider's sobriety and a reed switch to verify whether the helmet is properly worn. The bike module also utilizes an Arduino Mini, integrated with an accelerometer (ADXL sensor) to monitor the riding angle, a relay module to control bike ignition, a DC motor to simulate engine startup, and a buzzer for audio alerts. The ignition system is intelligently designed to activate only when the helmet is worn and the rider is alcohol-free, effectively preventing unsafe riding practices. For accident detection and post-crash response, the system incorporates GPS and GSM modules, enabling real-time location tracking and automated message alerts to emergency contacts upon crash detection. This dual-part system collectively contributes to a cost-effective, compact, and efficient smart safety solution for modern two-wheeler riders, aligning with current advancements in IoT and embedded technologies.