← All case studies
manufacturingComputer Vision
Tier-1 auto parts QA system
Edge vision system grades parts in real-time on a 24/7 line. Feeds root-cause hints back to press operators.
4x
Faster QA
-62%
Scrap rate
The challenge
Manual QA could not keep up.
Human inspectors catching defects on a high-speed press line. Missing defects, inconsistent grading, no root-cause feedback.
What we built
Edge AI vision on the line.
Camera stations at key points, edge inference for real-time grading, root-cause feedback to operators.
The results
4x faster, 62% less scrap.
Automated QA at line speed. More consistent than human inspectors.
TECH
Python, PyTorch, OpenCV
INFRA
Edge GPU, Docker
“The vision system catches defects our QA team was missing.”
Plant Director · Auto parts manufacturer
Got a similar challenge?
We'd love to hear about it. First call is free.