UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Unique Identifier

Published Paper ID:
JETIRCJ06140


Registration ID:
211123

Page Number

667-671

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Title

IMPLEMENTATION OF DROWSINESS, VEHICLE SAFETY AND ALCOHOL INTOXICATION DETECTION USING RASPBERRY PI.

Abstract

Drowsiness and drunken driving causes the road accidents. This paper proposes a real time detection of driver’s drowsiness as well as alcohol intoxication and subsequently alerting them. The main aim of this proposed system is to reduce the number of accidents due to driver’s Drowsiness and alcohol intake to increase the transportation safety. This proposed system contains 8-megapixels digital USB camera, Raspberry-pi loaded with Raspbian-OS, Alcohol sensor (MQ-3) is used to detect the intake of alcohol in percentage if the intoxication matching fails GSM get triggered on and transmits warming message. The Raspberry-pi system board is serially interfaced with Arduino Uno. GSM, Bluetooth, relay circuitry and buzzers are interfaced with Arduino Uno. This will perform some task like the alarm notification and switching off the car power source. Recently every individual person preferring to use own vehicle for transportation rather than public transportation because of flexibility in schedule. Thefts are happening on parking and sometimes driving insecurity places like highways. Hence the security and safety become a basic necessity for the urban population and also everyone. In recent days vehicle security and accident prevention are more challenging. The proposed system gives an alarm which represents vehicle tracking and accident detection when theft and accident identifying. Raspberry-pi is the heart of the system, which is connected to any moving vehicle, these make an easy option to track any moving vehicle for that it matters in real time on Google-maps. An alert will be received to the authorized person, the vehicle will be moved to stop mode through the GSM-GPRS or Wi-Fi Module connected to the raspberry-pi kit which is kept on inside of the vehicle. Which consist of rasp-pi-camera, sensors, and android phone. The camera is used to take pictures when the vehicle is open or closed mode. This system helps find-out the exact location of an accident with the server and sent the information to an authorized person, give an alarm signal to save the human life. This system also detects the behavior of the driver through the sensors whether he/she drowsy/drunk, the speed vehicle is stopped. This system more securable reliable and economical.

Key Words

RaspberryPI, Zigbee, MQ-3 Sensor, Logistic Camera

Cite This Article

"IMPLEMENTATION OF DROWSINESS, VEHICLE SAFETY AND ALCOHOL INTOXICATION DETECTION USING RASPBERRY PI.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.667-671, May-2019, Available :http://www.jetir.org/papers/JETIRCJ06140.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IMPLEMENTATION OF DROWSINESS, VEHICLE SAFETY AND ALCOHOL INTOXICATION DETECTION USING RASPBERRY PI.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp667-671, May-2019, Available at : http://www.jetir.org/papers/JETIRCJ06140.pdf

Publication Details

Published Paper ID: JETIRCJ06140
Registration ID: 211123
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 667-671
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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