We felt that there was no crowd information on campus. We decided to come up with a solution to solve that problem.

What it does

Informs the user of the crowd density level at a particular study area.

How we built it

We used python scripts, opencv and pre-trained YOLOv2 Algorithm. This software was then made to run on a Raspberry Pi 4 with a Raspberry Pi Camera module.

Challenges we ran into

We had trouble setting up the raspberry pi without a monitor and getting the basic pre-trained model up on opencv.

Accomplishments that we are proud of

We somehow managed to pull through as a team :D

What we learned

Computer vision is not that straight forward, but it was fun to figure it out on such a short time notice.

What's next for NoHiding

We intend to use what we learn to apply CV techniques and AI techniques in our future projects.

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