Drowsiness (Sleep) Detection Using Machine Learning – Part 5 of 5

There is a higher rate of accidents caused by drowsy drivers. But no preventive method has been found so far. And this is developed as a solution for that. This is a face detection system that can identify whether your eyes are open or closed. Simply this can detect whether you are sleeping or not. In this model, it can identify your fully opened eyes, and display them as not sleeping. And if your eyes are closed or widely opened it displays as sleeping.

This model can be improved to use in-vehicle cameras that can check the drivers’ faces all the time and keep the driver awaken while driving.

This is the end of the series of building an application for detecting drowsiness using machine learning techniques! Check out the full code in the link given below.

Day 01
https://liyamu.lk/2020/05/15/drowsiness-sleep-detection-using-machine-learning-part-1-of-5/

Day 02
https://liyamu.lk/2020/05/16/drowsiness-sleep-detection-using-machine-learning-part-2-of-5/

Day 03 –
https://liyamu.lk/2020/05/18/drowsiness-sleep-detection-using-machine-learning-part-3-of-5/

Day 04 –
https://liyamu.lk/2020/05/18/drowsiness-sleep-detection-using-machine-learning-part-4-of-5/

Day 05 –
https://liyamu.lk/2020/05/19/drowsiness-sleep-detection-using-machine-learning-part-5-of-5/

Full code available at:
https://github.com/Secubinary/Machine-Learning/tree/master/MLCS_Project_FaceRecognition

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Praveeni Chethana

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