2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) | 2019

Microcontroller and Sensor Based Smart Biking System for Driver’s Safety

 
 
 

Abstract


This paper describes the proposed methodology to build a safety system which is integrated with the smart helmet and intelligent bike to reduce the probability of two-wheeler accidents, bike theft and drunk drive cases. This device aims for the safety and security of two wheeler riders as well as of two wheelers. In this era, more than 1.5 lakhs people were injured because of road accidents. It is noted that 17 deaths happen for every one hour. The major reason is drunken drive. It is reported that the majority of road accidents are happened only because of drunken drive. It has also been observed that other accidents are because of improper usage of helmet. This system is used to reduce the rate of accident and rate of vehicle theft. This proposed methodology is implemented using RFID technology, password authentication and sensors namely gas sensor and proximity sensor. In this proposed methodology proximity sensor is fixed in the helmet so that the rider cannot ride the two-wheeler if he/she doesn’t wear the helmet. Gas Sensor is fixed so as to sense whether the rider has consumed the alcohol. If so, the ignition system doesn’t get on. The ignition system gets on and the gas sensor checks whether the rider had consumed alcohol or not, if yes, it will be detected by the gas sensor and the ignition system gets off automatically. The bike will start until the rider wears the helmet and if there is no alcoholic content present. When the rider needs to start the vehicle, he/she need to use the password provided to start the vehicle in order to authenticate the owner of the vehicle.

Volume None
Pages 1-5
DOI 10.1109/INCOS45849.2019.8951409
Language English
Journal 2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)

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