Visual Difference Engine

Technical architecture layout

Inspiration: We wanted to build something that can spot even tiny visual changes between two images — useful for design comparison, quality testing, or detecting tampering.

What It Does: Our Visual Difference Engine takes two images, analyzes them pixel by pixel, and highlights the areas that differ, giving users a clear visual output of what changed.

Challenges: The main challenges were handling image noise, managing different image sizes and formats, and ensuring the difference detection stayed accurate.

What We Learned: We learned about image processing techniques, OpenCV functions and how to balance precision and performance while collaborating under tight deadlines.