G.U.A. Camo
Project Type:
Web Application
Release Date:
May 2020
Client:
Personal Project
My Role:
Idea, UI/UX, Development
Link to project:
About the project
Generative and User Automated Camouflage (G.U.A. Camo) is a personal experiment to generate camouflage patterns from photos or digital images.
The software uses the Google Vision API to obtain an ordered list of the main colors of the image.
It then uses this data to generate an svg file containing a camouflage pattern of the colors of the image.
Technical details
The system is built as three separated components: an API style back-end, a separated database and a web app front-end.
- The algorithm generating the pattern is written in Python.
- Source images, colors and camouflage data are stored in a database for future use.
- The front-end is built using ReactJS.