Design & Implementation of IoT Based Smart Helmet for Road Accident Detection

Abstract

It has been observed that an alarming rate of road accidents occur in different countries every year with the increase of bikes and motorcycles. Some countries are one of the densely populated in the world where roads are narrower in comparison to the roads and streets. Although enough rules and regulations are made by the government to avoid road accidents, but the accident rate is increasing day by day. Reasons such as avoiding helmet by the bike rider during their ride as well as riding being drunk are worth mentionable. Motorcycle rider involve them in serious road accidents causing fatality while not wearing helmet and riding motorcycles being drunk. Wearing helmet can however reduce the risk of accidents largely. In this paper a very effective and technological way of Smart Helmet using Internet of Things (IoT) has been introduced by which one can avoid such problems. Arduino NANO and Arduino Mega-2560 are microcontrollers which control the entire components of the system. Two 2.4 GHZ nRF24L01 acts like sender and receiver for communication. One MQ-3 gas sensor is used which can detect whether the bike rider is alcoholic or not. If the bike rider is alcoholic, then the MQ-3 sensor detects it and the whole system goes off. A Sharp IR sensor detects the head of the motorcyclist within the range of 10–80 cm. The Bike rider's engine will start only when the rider will buckle the helmet. GPS & GSM Technology is used for tracking the location of the bike rider and sending text message to the family members of the Bike rider when an accident occurs. Our Smart Helmet is used for Accident Detection and Bike Rider's Safety.