UGC Approved Journal no 63975(19)

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

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2005096


Registration ID:
231114

Page Number

674-679

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Title

ALERT SYSTEM FOR DRIVER DROWSINESS USING RASPBERRY PI

Abstract

Driver’s drowsiness is identified as one of the main reasons for road mishaps. It leads to severe physical injuries, loss of human life, and loss of money. It is estimated that 40% of highway accidents occur due to driver dozing off [1] while driving. The usage of driver drowsiness detection system will help in evading the significant mishaps. This paper presents a system to identify driver’s drowsiness and raise an alarm to wake him. It is an attempt to avoid an accident caused by the inevitable sleep as early as possible by alerting the driver when he falls asleep. The symptoms of driver drowsiness can be detected more precisely and within a short time to avoid a car accident by just monitoring eyes. The proposed method involves continuous monitoring of driver’s face with the help of a Raspberry Pi camera which is then processed to detect eye landmarks. The eye aspect ratio is calculated with help of the obtained eye coordinates to detect closure of the eye. If the closure of the eye is detected for a threshold number of times, the driver is drowsy. A 2 Volt buzzer connected to Raspberry Pi is automatically activated and alerts the driver.

Key Words

Drowsiness, OpenCV, EAR, Raspberry Pi 3b+, Pi camera, Buzzer

Cite This Article

"ALERT SYSTEM FOR DRIVER DROWSINESS USING RASPBERRY PI ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.674-679, May-2020, Available :http://www.jetir.org/papers/JETIR2005096.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

"ALERT SYSTEM FOR DRIVER DROWSINESS USING RASPBERRY PI ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp674-679, May-2020, Available at : http://www.jetir.org/papers/JETIR2005096.pdf

Publication Details

Published Paper ID: JETIR2005096
Registration ID: 231114
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 674-679
Country: Visakhapatnam, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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