Published Paper Details:

This paper presents the design and development of an AI-powered wearable smart helmet system aimed at enhancing rider safety through intelligent sensing, communication, and automation. The system is divided into two parts: a transmitter unit embedded in the helmet and a receiver unit integrated with the motorcycle. The helmet unit uses a Nordic microcontroller as the core processor, along with a pressure sensor to verify helmet usage, an alcohol sensor to detect intoxication, and a gesture sensor for hands-free call management. It communicates with the bike via an RF transmitter. The receiver unit consists of a Nordic microcontroller, ADXL sensor for bike tilt and crash detection, a relay system to control vehicle ignition, and a motor driver for prototype operation. In the event of a crash, the system activates a GSM module to send the GPS location via SMS and triggers a buzzer to alert nearby individuals. The proposed solution not only enhances rider safety but also automates critical functions such as accident response and ignition lock, making it a practical advancement in smart transportation and wearable safety technology.