Driver Drowsiness Detection using Deep Learning

Thejas Gowda R V

Driver Drowsiness Detection using Deep Learning

August 2025

Vol-11, Issue-4

Paper ID: 27364

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Master of Computer Application

Keywords

Computer vision eye tracking eye blink yawning head pose estimation drowsiness fatigue ear(eye aspect ratio) facial landmark detection.

Abstract

Drowsiness while driving is a major factor contributing to road accidents, especially during long-haul or night-time travel. In recent years, technological advancements in artificial intelligence and computer vision have enabled the development of proactive driver monitoring systems. This project presents a real-time, deep learning-based Driver Drowsiness Detection System using Convolutional Neural Networks (CNN), integrated with a Flask web application. The system is designed to monitor and analyze live video input from a webcam to detect facial features such as eyes and mouth, using facial landmark detection techniques.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Thejas Gowda R V	P.E.S college of engineering, Mandya

How to Cite

Use the following formats to cite this article in your research.

APA Style

V, Thejas Gowda R (2025). Driver Drowsiness Detection using Deep Learning. International Journal of Advance Research and Innovative Ideas In Education, 11(4), 3652-3659.

MLA Style

V, Thejas Gowda R. "Driver Drowsiness Detection using Deep Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 4, 2025, pp. 3652-3659.

IEEE Style

Thejas Gowda R V, "Driver Drowsiness Detection using Deep Learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 4, pp. 3652-3659, 2025.

Vancouver Style

V Thejas Gowda R. Driver Drowsiness Detection using Deep Learning. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(4):3652-3659.

Harvard Style

V, Thejas Gowda R (2025) 'Driver Drowsiness Detection using Deep Learning', International Journal of Advance Research and Innovative Ideas In Education, 11(4), pp. 3652-3659.

Chicago Style

V, Thejas Gowda R. "Driver Drowsiness Detection using Deep Learning." International Journal of Advance Research and Innovative Ideas In Education 11, no. 4 (2025): 3652-3659.

Turabian Style

V, Thejas Gowda R. "Driver Drowsiness Detection using Deep Learning." International Journal of Advance Research and Innovative Ideas In Education 11, no. 4 (2025): 3652-3659.