International Journal of Scientific Research and Engineering Development

Two-wheeler accidents have been one of the foremost causes of injuries and fatalities, due to factors such as improper use of helmets, alcohol consumption, and non-provision of prompt aid during emergencies. An innovative research project has been proposed, which is known as "Smart Helmet Accident Alert and Alcohol Scanning System," which provides preventive and reaction measures to ensure safety of riders. In the proposed system, an Arduino Uno controller, which works as a controller for the system, pressure sensor to test if the helmet is worn or not, MQ-3 alcohol sensor to test the level of intoxication, an accelerometer to detect accident situations, GPS to track rider's location, and GSM SIM800 for emergency communication purposes will be used. The working of the system guarantees that ignition of the engine can only be done if the riders properly wear their helmets and do not exceed the level of alcohol within their bodies. Once an accident situation has occurred, then immediate emergency alerts and location information are communicated to the programmed contacts automatically. The practical tests showed that the system has detected the use of helmet, alcohol level within the body, accidental situations, and communication process effectively and in no time. With the help of automation and immediate emergency support features, this system will be able to make important contributions to accident prevention and effective rescue during accidents. Further developments for this system involve implementing efficient sensor fusion technology and power optimization techniques.

Shifa Bilal Tamboli, Simeen Phiroj Mulani, Arman Tajuddin Shiakh,"Smart Helmet Using IoT for Accident Detection and Drunk Driving Control" International Journal of Scientific Research and Engineering Development, V9(2): Page(2094-2106) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.