IOT based Monitoring of Driver parameters for the Prevention of Accidents in a Smart City

Abstract

In India, the number of accidents has been at a steady increase over the past few years. There are almost 17 accidents that happen every hour. There are various reasons that cause accidents such as drunken driving, drowsiness, under age driving, and distracted driving as well as riding without helmet which is a very precious life saver.  This system also prevents theft of the vehicle. The aim of this paper is to propose a new system which will help in tackling the afore-mentioned reasons and effectively help in preventing any accidents and help in saving lives.  Along with preventive measures, the system will also detect an accident and inform the concerned authorities and people, so as to tackle the situation immediately.  This system detects an accident using sensors such as an accelerometer and immediately   informs the   concerned people   through a   text message. The system provides a quirky counteraction and detection system that dispenses the definitive panacea for drivers which guarantees safety and prevents death toll by taking fitting measures in right time. This system integrates all the components in the existing systems and adds new functionalities. This system will also detect if the driver or rider is under the influence of alcohol and will take appropriate actions. The system is also equipped with a face recognition feature, where only an authorized person can use the vehicle, which helps tackle the problem of theft as well as under age driving. We have created a Vehicle-to-Vehicle (V2V) system, which works on IoT.  It will help in avoiding vehicles coming to close proximity and also prevent mishaps caused due to sudden braking.