# Testing computer vision for material classification
A prototype for distinguishing material categories from images
An experimental computer-vision prototype for UK and European material classification.
Organisation: UK and European materials-sector collaborators
Sector: Materials and Industrial Technology
## Delivery areas
- [AI and Decision Systems](/what-we-build/ai-decision-systems)
## Capabilities
- [Applied AI Engineering](/applied-ai-engineering)
## Challenge
Materials-sector collaborators wanted to test whether image-based classification could support faster, more consistent identification under real-world variation.
## What we did
We prepared an experimental image set, evaluated model approaches and built a prototype that exposes confidence and failure cases for expert review.
## Outcomes
- The prototype demonstrates candidate classification approaches
- Error patterns and data limitations are visible to domain experts
- No production performance claim is made
