Driver fatigue is a hidden but serious cause of road accidents, often leading to severe injuries or fatalities. This study introduces a computer-based monitoring system that observes the driver’s face in real time to identify early signs of tiredness. The design blends quick, traditional detection methods with modern learning algorithms to analyze expressions and movements, such as frequent blinking, eye closure, and yawning. If the system recognizes a risk, it instantly sends a warning to the driver. Testing with different publicly available driver datasets shows that the approach works quickly and maintains reliable accuracy under a range of conditions.
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Amanullah Hidayathullah (Mon,) studied this question.
www.synapsesocial.com/papers/68c198b59b7b07f3a061a06c — DOI: https://doi.org/10.22214/ijraset.2025.74069
Amanullah Hidayathullah
International Journal for Research in Applied Science and Engineering Technology
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