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This project implements a real-time driver drowsiness detection system using a Raspberry Pi equipped with an OV camera module. The system employs computer vision (OpenCV) and machine learning techniques (NumPy, pre-trained models) to monitor the driver's facial landmarks—particularly eye and head movement.