UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 1 | January 2026

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Published in:

Volume 13 Issue 1
January-2026
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:
JETIR2601033


Registration ID:
574032

Page Number

a280-a283

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Title

AI- Based Driver Drowsiness Detection with Automatic Alert and Vehicle Control

Abstract

: This project proposes an innovative Anti-Sleep Driving System (ASDS) that detects early signs of driver tiredness and alerts the driver to take corrective action. Driver tiredness, especially during night-time driving, long highway journeys, or extended periods on the road, can significantly damage attention and increase the risk of accidents. The system uses an infrared sensor to monitor the driver’s eye movements, particularly frequent blinking, which is often a sign of tiredness. When such patterns are detected, the glasses activate a signal to a buzzer, which produces a loud alarm, waking up the driver. If the driver continues to ignore the warning, the system can automatically engage the vehicle's emergency stop function to prevent further risk. To enhance safety, this system can be extended with IoT technology, such as Bluetooth or Wi-Fi, to send the driver's location to nearby contacts or emergency services. This affordable and effective solution can greatly improve driver safety, particularly during nighttime or long-distance driving, by preventing accidents caused by drowsiness. The project provides an innovative approach to ensure safer journeys on the road.

Key Words

– Driver Drowsiness Detection, Infrared Sensor, Eye Blink Monitoring, Buzzer Alert, Fatigue Detection, Accident Prevention, Vehicle Safety System.

Cite This Article

"AI- Based Driver Drowsiness Detection with Automatic Alert and Vehicle Control", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.a280-a283, January-2026, Available :http://www.jetir.org/papers/JETIR2601033.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

"AI- Based Driver Drowsiness Detection with Automatic Alert and Vehicle Control", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. ppa280-a283, January-2026, Available at : http://www.jetir.org/papers/JETIR2601033.pdf

Publication Details

Published Paper ID: JETIR2601033
Registration ID: 574032
Published In: Volume 13 | Issue 1 | Year January-2026
DOI (Digital Object Identifier):
Page No: a280-a283
Country: Hyderabad, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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