UGC Approved Journal no 63975(19)

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

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIREB06157


Registration ID:
233860

Page Number

1285-1292

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Title

Enhancement Through Machine Learning & Iot For Driver Drowsiness and Alcohol Detection System.

Abstract

Driver drowsiness detection is a key technology that can prevent disastrous car accidents caused by drowsiness of the driver. Determining the sleepiness and alcohol taken by the driver is one of the definite ways of mapping driver fatigue. This project uses an existing prototype of the drowsiness detection system and an alcohol detection system. This mechanism examines the eyes of the driver and triggers an alarm when he/she is drowsy. Driver exhaustion often becomes a direct cause of many traffic accidents. Therefore, there it is essential to implementing the systems that will examine and notify a driver of her/him the bad psycho- physiological situation, which could significantly reduce the number of fatigue-related car accidents. One of the technical probabilities to implement driver drowsiness detection systems is to use the vision-based approach. This report exhibits the driver’s sleepiness and alcohol detection system. This system acquires the face, but mainly focuses on the eyes of the driver and detects the drowsiness. Using machine learning the system detects and examines drowsiness and after detection, if the driver found sleepy the system triggers an alarm. This system senses alcohol using the MQ6 sensor.

Key Words

Alcohol Identification, Drowsiness Identification, Computer Vision, Machine Learning, IoT.

Cite This Article

"Enhancement Through Machine Learning & Iot For Driver Drowsiness and Alcohol Detection System.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1285-1292, June-2020, Available :http://www.jetir.org/papers/JETIREB06157.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

"Enhancement Through Machine Learning & Iot For Driver Drowsiness and Alcohol Detection System.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1285-1292, June-2020, Available at : http://www.jetir.org/papers/JETIREB06157.pdf

Publication Details

Published Paper ID: JETIREB06157
Registration ID: 233860
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 1285-1292
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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