design a drowsiness detection system to prevent these accidents. Your
system will be able to detect that a person’s eyes are closed for a few seconds. You will build
this system by using Python, which will alert the driver when he feels
The dataset consists of 2900 images which include both normal and yawning images. You may
find the dataset in ACG OneDrive/link.
You will have to feed the images of drivers into a Deep Learning model which will classify
whether the person’s eyes are “Open” or “Closed”. The steps of the approach follows:
Step 1 – Take image as input from a camera.
Step 2 – Detect the face in the image and create a Region of Interest.
Step 3 – Detect the eyes from Region of Interest and feed it to the classifier.
Step 4 – Classify whether eyes are open or closed.
Step 5 – Calculate score to check whether the person is drowsy.
Disclaimer: The Dataset is available in ACG OneDrive/link and it is free for non-commercial
use. We do not claim the ownership of this Dataset. You can use it for educational purposes
*** The project is uploaded to the kaggle site and I would like NOT to use its code.
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Hi, I have worked on object detection, instance segmentation, semantic segmentation modelsnusing deep learning and opencv. Let's discuss about drowsiness detection.