Covistance

Home Page
Demo 1 (with the 3ft safe distance minimum); not distanced
Demo 2 (with the 3ft safe distance minimum); distanced!
Features & Benefits Page
Auth0 Secure Login
Downloads Page

Inspiration

As the COVID-19 pandemic continues to progress, we want to live meaningful lives, but stay safe at the same time. By creating an app that regulates social distance between its users, we can ensure that we can socialize with our friends and family in-person without fear.

What it does

Through an easily accessible website, users are able to download our program which uses camera vision to recognize humans, measure the distance between them, and provide feedback on whether they are appropriately distanced or not according to the user's specifications of what they consider to be a safe distance from others.

How we built it

We were all interested in learning OpenCV, so we figured by making a social distancing app, we could learn useful technical skills while creating an application that was applicable to a real-world problem. In addition to utilizing the OpenCV library in python, we worked with Auth0 to create a secure log-in procedure, and React to design the front-end of our website.

Challenges we ran into

Since it was our first time using OpenCV, it took us a while to become comfortable with the technology and end up with an error-free project.

Accomplishments that we're proud of

Our team is very proud of learning and successfully implementing OpenCV to create our social distancing application. We were especially proud of accounting for depth perception when measuring the distance between the users, no matter how far they are away from the camera.

What we learned

In addition to learning new technology, we also learned more about the software-development process and how to work effectively as a team.

What's next for Covistance

In the future, we hope to add a pyinstaller so users can download the program from the website in a simpler way, increase the camera sensitivity so our distance measurements are more accurate, and improve depth-perception abilities by accounting for distances between users when each user is a different distance from the camera than the other users involved.

Built With

Submitted to

GunnHacks 8.0
- Winner 4th & 5th Overall
- Winner Best Use of Auth0

Created by

I primarily worked on the front-end website with react by using an Auth0 template with my own customizations and additions. I also helped develop the social distance application with OpenCV

Ella Schneyer
I worked on OpenCV and depth perception, using the aspect ratio to determine how far apart users are from the screen regardless of how far these people are from the camera. Even in 2D, there's plenty of data we can use to determine depth! It's amazing that depth perception can work in 2D!

Kenneth Ge
I worked on developing the facial recognition and distance calculation through OpenCV.

Siddanth Karthik
I worked on the front end such as graphic design. I also helped with facial recognition using OpenCV.

Arjun Rajdev