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This code implements a drowsiness detection system using a pre-trained CNN model. It loads the model and initializes OpenCV and other libraries. It then enters a main loop where it captures video frames, detects faces and eyes using Haar cascades, extracts eye images, inputs them to the model for prediction, and tracks a "score" to determine if drowsiness is detected based on consecutive eye closure frames. If the score exceeds a threshold, an alarm sound is played to alert the driver. Overall, it demonstra

Author

Ananya Gupta

Language

EN