Face Mask Detection

Mask detected
No mask Detected

Inspiration

The current pandemic has had a huge damage in India as well as other parts of the world, so this web app is our bit towards maintaining the protocol and ensuring a safe environment.

What it does

So this web app gives us two options to detect a face mask. First being, detecting the mask via an image and second being via the live feed.

How we built it

Initially, we built a model for detecting the mask over an image and then shifted the same model over to the real feed using imutils package. We used python programming language for coding and deployed our model on streamlit.

Challenges we ran into

One major drawback of using streamlit was that it didn't support real time capturing, because of which we had to spend hours building another function altogether and integrating it over to streamlit.

Accomplishments that we're proud of

Our project turned out exactly the way we wanted. Despite many challenges like facing issues with streamlit and slow processing of computers during the training phase of the model, we are happy that we didn't give up and successfully achieved the desired results, overcoming the hurdles that came our way.

What we learned

This being our first hackathon, we learnt a lot of things. It was tedious session of strenuous coding and debugging with 10-15 cups of coffee to keep us focused.