Published Paper Details:

Accidents are happening more frequently as there are more 2-wheeled motor vehicles on the road. A large percentage of fatalities are the result of the individual not wearing a helmet, failing to report the accident in a timely manner, being admitted to the hospital too late to rescue him, or riding while intoxicated. The primary goal of the project is to create a smart helmet that can detect alcohol use, prevent accidents, and pinpoint the location of an accident. Two modules are present here to perform the aforementioned tasks. a helmet and bicycle module. The brain of the system, an Arduino UNO, serves as the brain of the bike module. It is connected to an accelerometer and an RF receiver to receive signals from the helmet module. The helmet module has an RF transmitter for sending the CPU the signals from the IR sensor, alcohol sensor, and vibration sensor. The IR sensor determines whether or not the user is donning a helmet. The rider's breath is detected by the alcohol sensor as having alcohol in it. The bike won't start if the rider is intoxicated and not wearing a helmet. Only the bike will start if a helmet is worn and there are no signs of alcohol usage. When the rider has an accident, the sensor detects the bike's state and, using GSM and GPS modules, notifies the registered number of the accident's location and its location. Utilizing an accelerometer and vibration sensor, the accident situation is identified. The output from the sensors will be compared to the program's limit values.