drowsiness-detector

Intent

Detecting drowsiness of eyes using open cv :)

Inspiration

This code is based on the blog post here. The inspiration to do this comes from akshaybahadur21's github repo.

Overview

The code flow is simple:

• Get a camera feed.
• In each frame, find the eyes.
• The height to width ratio of the eye tells us whether how open or closed it is.
• If the ratio is high, that means the eyes are more open and vice versa.
• if the ration goes below a threshold (EYE_AR_THRESHOLD), we consider the eyes as closed.
• if the eyes remain closed for EYE_AR_CONSECUTIVE_FRAMES number of frames, we sound the alarm.

And that's it.

How to run

• Clone the repo.
• Run pip install -r requirements.txt in the directory.

[I recommend creating separate environments [like miniconda env] for this installations]

• Run python detector.py