Design a Smart Helmet with Multi-Fusion Sensor for Accident Detection

Road safety remains a critical concern, especially with non-compliance in helmet usage and driving under the influence of alcohol, both of which significantly contribute to accidents and fatalities. Head injuries are a leading cause of death in road mishaps, often due to the negligence of wearing helmets. Additionally, alcohol consumption impairs cognitive abilities, slows reflexes, and affects judgment, making driving extremely dangerous. In high-traffic regions like India, drunk driving further intensifies the severity of road accidents. To mitigate these risks, we propose an intelligent helmet system equipped with an alcohol detection sensor and a helmet compliance sensor. This system ensures that the vehicle can only start when the driver is wearing a helmet and is not intoxicated. The system transmits real-time data using the Blynk Android application, allowing remote monitoring and enforcement of safety protocols. By leveraging IoT-based monitoring and real-time enforcement, the proposed system significantly reduces accident rates and enhances road safety. Keywords— Smart Helmet, Drunk Driving, Road Safety, Alcohol Detection, IoT-based Safety System, Helmet Compliance, Traffic Accident Prevention.