Smart Helmet for Vehicles using IoT for Accident Avoidance

Recently, motorcycle accidents are increasing at an unprecedented rate due to the riders who refuse to wear protective gear and riders who are under the influence of alcohol. On the other hand, car accidents are considered as a leading cause of death worldwide. Smart helmet technology can help keep people safe. The primary objective of this research work is to design and develop a wearable technology for monitoring alcohol consumption and preventing accidents. The micro limit button detects when a helmet is worn. The gas detector detects whether the driver's breath has booze. If the rider is intoxicated or not wearing a helmet, the motorbike will not start. A bike will only start if a helmet is worn and there is no evidence of intoxication. When a driver is engaged in a collision, vibration sensors send a warning notification via GPS and GSM modules to the pre-defined contacts.