Driver drowsiness detection system

Spandan Dalvi; Sarthak Bankar; Aarti Pimpalkar

doi:10.30574/ijsra.2026.19.2.0900

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Driver drowsiness detection system

Spandan Dalvi ^*, Sarthak Bankar and Aarti Pimpalkar

School Of Computing, MIT Art Design and Technology University, Loni Kalbhor, Pune-412201.

Research Article

International Journal of Science and Research Archive, 2026, 19(02), 841-849

Article DOI: 10.30574/ijsra.2026.19.2.0900

DOI url: https://doi.org/10.30574/ijsra.2026.19.2.0900

Publication history

Received on 17 March 2026; revised on 25 April 2026; accepted on 27 April 2026

Abstract

Driver fatigue is a major cause of road accidents, especially in long-distance and night driving scenarios. Continuous monitoring of driver alertness is essential to prevent such incidents. This paper presents a real-time Driver Drowsiness Detection System using computer vision techniques. The system captures live video input, processes facial features such as eye closure, and determines fatigue levels based on temporal analysis. A fatigue percentage model is introduced to provide a more intuitive understanding of driver condition. When fatigue exceeds a predefined threshold, an alert is generated. The proposed system is cost-effective, non-intrusive, and suitable for real-world deployment in intelligent transportation systems.

Keywords

Driver Drowsiness; Computer Vision; Fatigue Detection; OpenCV; Haar Cascade

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How to cite this article

Spandan Dalvi, Sarthak Bankar and Aarti Pimpalkar. Driver drowsiness detection system. International Journal of Science and Research Archive, 2026, 19(02), 841-849. Article DOI: https://doi.org/10.30574/ijsra.2026.19.2.0900.

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