ISSN: 2349-5162 | Impact Factor: 5.87

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Published in:

Volume 4 Issue 5
May-2017
eISSN: 2349-5162

Unique Identifier

JETIR1705003

Page Number

11-12

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Title

SMART HELMET

Abstract

An accident is a specific, unexpected, unusual and unintended external action which occurs in a particular time and place, with no apparent and deliberate cause but with marked effects. Carelessness of the driver is the major factor of such accidents. The traffic authorities give a lot of instructions to the vehicle operators. But many of them do not obey the rules. Nowadays most of the countries are forcing the motor riders to wear the helmet and not to use the vehicles when the person is in drunken condition. But still the rules are being violated by the users. In order to overcome this we introduces an intelligent system, Smart Helmet, which automatically checks whether the person is wearing the helmet and has non- alcoholic breath while driving. Here we have a transmitter at the helmet and the receiver at the bike. There is a switch used to sure the wearing of helmet on the head. The ON condition of the switch ensures the placing of the helmet in proper manner. An alcohol sensor is placed near to the mouth of the driver in the helmet to detect the presence of alcohol. The engine should not ON if any of the two conditions is violated. When the rider crashes and the helmet hits the ground, the sensors sense and gives to the arm controller board, then controller extract GPS data using the GPS module that is interfaced to it. When the data exceeds minimum stress limit then GSM module automatically sends message to ambulance or family members.

Key Words

Accident, Drunken Driving, Helmet, Intelligent system, Safety, Sensor, Vehicle.

Cite This Article

"SMART HELMET", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 5, page no.11-12, May-2017, Available :http://www.jetir.org/papers/JETIR1705003.pdf

Publication Details

Published Paper ID: JETIR1705003
Registration ID: 170275
Published In: Volume 4 | Issue 5 | Year May-2017
DOI (Digital Object Identifier):
ISSN Number: 2349-5162

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