An IoT-Based Automated Smart Helmet

Road accidents are on the rise as a result of motorists failing to wear helmets and drinking excessively. Wearing a helmet could minimise impact shock and potentially save a life. As a result, this paper is initiated to enhance the motorcycle rider's safety. The system comprises of an Arduino Uno microcontroller, a Node MicrocontrollerUnit (NodeMCU) ESP8266Wireless Fidelity (Wi-Fi) module, Global Positioning System (GPS) sensor, Gyroscope, Infrared (IR) sensor, Alcohol Sensor and a Blynk Internet of Things (IoT) mobile application. This work is a comprehensive accident detection system that relies on a smart helmet that can sense whether or not the rider is wearing a helmet, track the rider's co-ordinates via realtime location tracking, recognise sudden severe jerks to deduce that an accident has occurred, assess whether or not the rider is drunk, and alert the rider's relatives and friends via a mobile application.