Sensor Network Based Smart Helmet for Bike Riders for Accident Prevention

Abstract

Road accidents are increasing day by day because riders do not use helmet and due to alcohol consumption. A huge amount in today's world people die in traffic accidents. Accidents can occur when using a smart helmet detected. The Project Goal is to design smart helmet in case of an accident alcohol avoidance and alcohol detection. The IR sensor checks if the person is wearing it helmet or not. The gas sensor recognizes the alcohol substance in the rider breath. If the person doesn’t have a helmet and if they are consuming alcohol, a bike won't start. If there are no signs of alcohol and a helmet is worn, then only the bike starts. The moment the rider met with an accident, the sensor recognizes the condition of the motorcycle and reports the accident. Then The GPS in the bike sends the location of the accident site to the main server nearby hospitals.