Driver-Drowsiness-Detection

Driver drowsiness detection is a project built using Dlib and OpenCV with Python as a backend language.

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Logic of project

The project includes direct working with the 68 facial landmark detector and also the face detector of the Dlib library. The 68 facial landmark detector is a robustly trained efficient detector which detects the points on the human face using which we determine whether the eyes are open or they are closed.

The 68-landmark detector data (.dat) file can be found By clicking here

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The working of the project

• As you can see the above screenshot where the landmarks aredetected using the detector.
• Now we are taking the ratio which is described as 'Sum of distances of vertical landmarks divided by twice the distance between horizontal landmarks'.
• Now this ratio is totally dependent on your system which you may configure accordingly for the thresholds of sleeping, drowsy, active.

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How to Download the Project?

1. Click on the Code option.
2. Then Select 'Download Zip'.
3. Extract the folder.
4. Run it in Visual Studio Code.

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👩‍💻 Contributors/Collaborators

• Saileen Fernandes (@Sai25Hajime)
• Jelestina Nadar (@Jelestina)
• Alister Almeida (@miali4657)