Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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A Real-Time Driver Drowsiness Detection and VehicleControl System With GPS

Authors
N. Chaitanya Kumar1, P. Monika Anjani Swetha2, *, M. Venu Madhav2, P. Divyanjali2, K. Babji2, Mahabub Fayaz Shariff2
1Assistant Professor, Department of Information Technology, Ani lNeerukonda Institute of Technology and Sciences, Visakhapatnam, India
2Student, Department of Information Technology, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India
*Corresponding author. Email: swetha@gmail.com
Corresponding Author
P. Monika Anjani Swetha
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_283How to use a DOI?
Keywords
Eye Aspect Ratio (EAR); Facial Landmark Detection; Dlib Face Detector; Hazard Alert System; Pygame Audio; Artificil Intelligence in Transportation
Abstract

Driver fatigue-induced road accidents are one of the primary threats to traffic safety, and this has driven the need for real-time detection systems. A driver drowsiness detection system based on deep learning, machine learning, and computer vision is proposed in this study for improving road safety. The sys-tem records real-time video using cameras mounted on vehicles, processing major facial features like eye movements to determine driver alertness. When drowsiness is detected, it initiates a multi-level alerting system, which comprises an auditory alarm, SMS alerts to emergency contacts, and vehicle control interventions like speed reduction and progressive stopping. GPS in-tegration further allows real-time locational tracking for emergency response. Merging AI-driven fatigue detection with real-time intervention, this system is a part of intelligent transportation technologies to prevent drowsy driving-related accidents.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_283How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - N. Chaitanya Kumar
AU  - P. Monika Anjani Swetha
AU  - M. Venu Madhav
AU  - P. Divyanjali
AU  - K. Babji
AU  - Mahabub Fayaz Shariff
PY  - 2025
DA  - 2025/11/04
TI  - A Real-Time Driver Drowsiness Detection and VehicleControl System With GPS
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 3382
EP  - 3390
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_283
DO  - 10.2991/978-94-6463-858-5_283
ID  - Kumar2025
ER  -