Computer Vision Defect Detection System
Automated Quality Control
Manufacturing
Industry
Anonymised
Data
-90%
Inspection time
TL;DR
Summary: AI-powered computer vision system using tacit knowledge transfer from expert inspectors to automatically detect defects and sort products with 90%+ time reduction.
Key Facts
Industry
Manufacturing
Solution family
Edge CV
Data
Anonymised
Key outcomes
- • Inspection time: -90%
- • Detection accuracy: +95%
- • False reject rate: -75%
Extra metrics
- • Items inspected: 15K+/day
- • Production lines: 8
- • Expert knowledge: 100+ rules
Challenge
Manual quality inspection was slow, inconsistent, and prone to human error, leading to defective products reaching customers and high inspection costs.
Solution
AI-powered computer vision system using tacit knowledge transfer from expert inspectors to automatically detect defects and sort products with 90%+ time reduction.
Outcomes
-90%
Inspection time
+95%
Detection accuracy
-75%
False reject rate
Supporting metrics
15K+/day
Items inspected
8
Production lines
100+ rules
Expert knowledge
Data sensitivity
Anonymised