UGC Approved Journal no 63975(19)

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

Volume 5 Issue 10
October-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1810A94


Registration ID:
400564

Page Number

288-295

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Title

Sleepiness Detection Using Computer Vision Algorithms

Abstract

When driving long distances, drivers are often advised to take frequent breaks; failing to do so increases the risk of becoming drowsy. Sleepiness or drowsiness is a state where the human may not respond quickly to the instances or recognize the events faster. It is one of the primary causes of the rise in road accidents, particularly at night and early in the morning. Drowsiness detection is a phenomenon in which a computer or machine detects the driver's sleepiness conditions early on, potentially saving many lives. The use of machine-based vision concepts helps in the development of sleepiness detection. A small camera that directly points to the driver's face detects the driver's eyeball movement to detect fatigue and sleepiness. In this work, the face is detected with the Viola-Jones Algorithm, from which the position of the eyes is detected using Haar cascaded features. Changes are made in the intensity of the eye, which reduces the area of the eye and informs the system whether the eyes are open are closed. If the eyes are closed, then the system provides information that the driver is sleeping and needs to be warned within a time limit. Attention assisting systems warn the driver about the over-speed range during inattentiveness and drowsy conditions. The system also notifies about their current state of fatigue and the driving time since the last break time and passes the information to the nearest command navigation system.

Key Words

Driver Sleepiness, Machine Learning, Viola Jones Algorithm, Face Detection

Cite This Article

"Sleepiness Detection Using Computer Vision Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.288-295, October-2018, Available :http://www.jetir.org/papers/JETIR1810A94.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

"Sleepiness Detection Using Computer Vision Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp288-295, October-2018, Available at : http://www.jetir.org/papers/JETIR1810A94.pdf

Publication Details

Published Paper ID: JETIR1810A94
Registration ID: 400564
Published In: Volume 5 | Issue 10 | Year October-2018
DOI (Digital Object Identifier):
Page No: 288-295
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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