SnapArt | Devpost

SIFT algorithm key feature detection
SnapArt Logo

Inspiration

"Develop a solution for local communities to help them foster social good"

Artists represent a local communities that provides tremendous amounts of social good, while historically having a lack of support. Art doesn't just take place in museums where plaques tell about the artist and the artwork, it is all around us. We wanted a way for people to connect with artists when they find murals, paintings and sculptures all around their community.

What it does

After an artist finishes an art installation around the community, they can upload it SnapArt with info about themselves, the artwork, and where people can find them online. Community members can then snap a picture of the artwork and learn more about it.

How we built it

When an artist uploads an image, it is added to our database and analyzed for key points using a scale-invariant feature transform (SIFT) algorithm. When a user scans a piece of art, the image is also analyzed for key points and referenced against the already uploaded artwork regardless of translation, rotation, and illumination that the image was taken at.

Challenges we ran into

Ensuring that functionality is preserved across multiple devices (mobile, desktop) and browsers (Chrome, Firefox, Safari).

What's next for SnapArt

Add a feature that allows users to see the most scanned pieces of art in their area (week, month, all time). This would allow people to discover new art in their area that they weren't previously aware of.