Automated detection
Finds potential surface defects and localises them within inspection imagery.
Industrial Manufacturing & Quality Inspection
An AI vision inspection system that detects, localises and classifies solid-surface defects to support faster manufacturing quality control.

The challenge
The solution
The platform applies computer vision and neural networks to surface imagery. Binary or multi-class models identify defect types, outline affected regions and organise the results for engineering review and production-quality decisions.
Finds potential surface defects and localises them within inspection imagery.
Uses binary or multi-class neural networks to distinguish defect types.
Presents defect distribution and analysis results in a clear engineering workflow.
The outcome