Smart Helmet System for Real-Time Hazard Detection And Response

Abstract

The increasing number of road accidents involving two-wheelers, especially due to drunk driving, underage riding, and not wearing helmets, indicates the need to include advanced safety measures. Conventional safety relies too heavily on the compliance of riders, which is seldom consistent and results in preventable injuries and fatalities. This project proposes a Smart Helmet Safety System that incorporates basic electronics and sensors with AI to promote better safety for riders and ensure that regulations are followed. An Arduino controls this system, which will monitor alcohol consumption using an MQ3 sensor, check if the rider is wearing the helmet with a limit switch, and authenticate the rider through RFID-based license scanning and AI-based facial recognition, including checking for under-age riding. Additionally, if the model experiences any vibration from accidents, it will send GPS location and alert contacts via a GSM module in no time. The novelty of this work is that by providing an overall automated solution to preventive unsafe travel and speedy emergency responses, two-wheeler travel would be safer using intelligent monitoring and control.