Enhancing Human Safety Through IoT-Integrated Smart Helmet Technology

The smart helmet's characteristics are meant to identify and report whether or not a wearer has consumed alcohol while donning a helmet. Road accidents are increasing as a result of riders drinking alcohol and not wearing helmets. In the modern world, thousands of people lose their lives in auto accidents each year. Wearing a smart helmet can typically lower the number of accidents. The primary objective of this research study is to create a wearable helmet that can both detect alcohol and prevent accidents without the need for a helmet. Whether the user is wearing a helmet is determined by the limit switch. The rider's breath is tested by the Gas sensor to determine whether alcohol is present. If the rider has ingested alcohol or is not wearing a helmet, the bike will not start. Only when a helmet is on and there are no indications of intoxication can the bike be started. System construction is done by sensor actions.