Abstract: With the rapid development of intelligent transportation systems and growing emphasis on driver safety, real-time detection of driver drowsiness has become a critical area of research. This ...

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Due to the scarcity of faulty samples, we propose a one-class classification-based fault detection method relying on normal samples to establish classification boundaries. To generalize the model to ...

A real-time system that detects driver drowsiness using computer vision and facial landmarks to prevent accidents caused by fatigue.