Personalize and market every activity that requires concentration and attention efficiently. i.e, transportation, work, etc.

What it does

It scans a user's face, and then using facial recognition, tracks the user's eyes and their rate of fast and slow blinks. Comparing the rate of the two, the program decides whether the user needs to stop and rest or continue.

How we built it

Using python and the dedicated libraries necessary.

  • dlib (to handle our facial recognition)

  • imutils (to handle our video stream for our webcam)

  • Cv2 (to handle our window to output data to user)

  • scipy (to handle our calculations)

Challenges we ran into

In poor lighting situations we find it would miss or misinterpret a blink, but it would not interfere with the rate so badly that it would not stop the program from doing its job. Just need an answer for better lighting. Also at first it had trouble registering blinks from people with small eyes, hence why we added the scan feature. Variables change depending on the user's eye shape.

Accomplishments that we're proud of

Actually be able to implement facial recognition for the first time, EVER. Most of us had no experience in python or facial recognition, so able to have a working program after the 12 hours is amazing.

What we learned

Python and its object oriented libraries. Being able to build a script that takes in live data from hardware input and being able to do something with this data and push something out to the user.

What's next for L.I.T. (Lucid Intelligence Technology)

Implementing a way to track the eyes in dark situations and improving ways to prevent human error.

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