Inspiration
We were inspired by our absolutely ridiculous friend group, a love/hatred for geese, and society's mask-based obstacles.
What it does
It constantly scans the room using the device's camera and plays a goose honking noise whenever it detects someone that's not wearing a mask.
How we built it
We C# and opencv to continuously grab frames from the camera. From there a deep neural net detects likely locations for faces, and we compare the top and bottom section of the location to see if a mask is being worn. Then, if it is, we play goose honking noise.
Challenges we ran into
All members of our group had either never touched opencv, or just used it for image processing 6 years ago. We had little to no experience with AI, just an idea and a dream.
Accomplishments that we're proud of
Getting it to work! It warmed our hearts when we heard that very first crackling from our computer speakers, warning us of the danger we were putting ourselves in.
What we learned
We learned how to use the opencv learning tools, and that the default camera for a windows tablet is the back one.
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