IoT based Smart Helmet System for Accident Prevention
S. Johnpaul, C. Thirumalai Selvan, P. J. Raguraman
Abstract
The smart helmet's purpose is to provide features for detecting and reporting whether a person has drunk alcohol while wearing a helmet. Because riders don't wear helmets and drink alcohol, road accidents are on the rise. Thousands of people die every year in vehicle accidents in today's world. Accidents can often be reduced by using a smart helmet. The project's main goal is to build a practical helmet that can prevent accidents without the use of a helmet and detect alcohol. The touch sensor identifies whether the user is wearing a helmet. The Gas sensor detects the presence of alcohol in the rider's breath. The bike will not start if the rider is not wearing a helmet or has consumed alcohol. The bike can only be started if there are no signs of intoxication and a helmet is worn. Sensor operations are used to construct the system.