Paper Title

Drivers Drowsiness Detection System

Authors

Sharathkumar S , Meghana N P , Shwetha S Kumar , Suma B V

Keywords

Drowsiness ;Smartphone; Alarm; HaarCascade

Abstract

Nowadays, the main reason of road accidents is the drowsiness of driver. In this paper, we are focusing on designing a smartphone based driver aided system that helps to detect driver drowsiness conditions while driving. This technology uses smartphone front camera to take driver’s image .This approach provides real time monitoring. This system in turndetects drowsiness of driver. The system uses Viola Jones method which detects objects in the images i.e. detects face and eye localization is done by Haar like features. If eyes remain closed for the successive frames, system gives indication as "drowsy driver" and alerts the driver with alarm.

How To Cite

"Drivers Drowsiness Detection System", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 5, page no.424 - 429, May-2016, Available :https://ijsdr.org/papers/IJSDR1605084.pdf

Issue

Volume 1 Issue 5, May-2016

Pages : 424 - 429

Other Publication Details

Paper Reg. ID: IJSDR_160242

Published Paper Id: IJSDR1605084

Downloads: 000347053

Research Area: Engineering

Country: Tumakuru, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1605084

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1605084

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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