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Research Article | Open Access |

Enhancing Road Safety: A Multi-Modal Drowsiness Detection System for Drivers

Author 1: Guirrou Hamza Author 2: Mohamed Zeriab Es-Sadek Author 3: Youssef Taher
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 16, No. 1 · Published 2025

DOI: https://doi.org/10.14569/IJACSA.2025.0160197

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Abstract

Driver drowsiness is a major contributing factor in road accidents, emphasizing the need for enhanced detection measures to improve car safety. This paper describes a multi-modal fatigue detection system that uses data from an internal camera, a front camera, and vehicle factors to reliably assess driver alertness. The technology outperforms traditional methods in terms of detection accuracy by utilizing powerful machine learning algorithms. Simulation and real-world tests show considerable improvements in reliability and performance. This integrated strategy offers a promising alternative for reducing the dangers associated with driver weariness and improving overall traffic safety.

Keywords

Component fatigue detection drowsiness monitoring ADAS

How to Cite this Article

Hamza, G., Es-Sadek, M. Z., & Taher, Y. (2025). Enhancing Road Safety: A Multi-Modal Drowsiness Detection System for Drivers. International Journal of Advanced Computer Science and Applications, 16(1). https://doi.org/10.14569/IJACSA.2025.0160197

Hamza, Guirrou, et al.. "Enhancing Road Safety: A Multi-Modal Drowsiness Detection System for Drivers." International Journal of Advanced Computer Science and Applications, vol. 16, no. 1, 2025, https://doi.org/10.14569/IJACSA.2025.0160197.

@article{Hamza2025,
  title     = {Enhancing Road Safety: A Multi-Modal Drowsiness Detection System for Drivers},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {1},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Guirrou Hamza and Mohamed Zeriab Es-Sadek and Youssef Taher},
  doi       = {10.14569/IJACSA.2025.0160197},
  url       = {https://doi.org/10.14569/IJACSA.2025.0160197}
}

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