StayUp

Inspiration

We wanted to prevent the accidents and deaths falling asleep at critical times causes.

What it does

Notifies you with a large sound when you are asleep on webcam so that you can go back to working.

How we built it

We used Flask to run Python code on the web. We trained a model with Keras and saved it as an h5 file. We used OpenCv to locate the person's eyes and then fed them through this neural network to determine if they were asleep.

Challenges we ran into

It was hard to get constant pictures from the video stream and integrate Flask with the website.

Accomplishments that we're proud of

We are proud that we got it all to work and that we made something that is useful in the real world.

What we learned

We learned about Flask, Keras, and webcam usage in HTML and Javascript.

What's next for StayUp

Android and IOS Application More training (layers and epochs), Further testing, Adding optional functionality such as a math problem to verify that the user is truly awake