Manufacturing · India
AI visual quality inspection on the production line
Deep-learning inspection where every decision is linked to its images, model version and confidence score.
- Sector
- Manufacturing
- Region
- India
- Disciplines
- Computer vision · MLOps
- Practices
- Client
- Under NDA. References available on a call.
The challenge
A manufacturer in India needed visual quality inspection for castings and machined parts on its production line, with a clear record of why each part passed or failed.
Our approach
We built deep-learning inspection in PyTorch, running at the edge on the line. Every decision is traceable: it is linked to its images, the model version that made it and its confidence score. An MLOps pipeline manages training and versioning of the models.
Architecture
Production line
- Images of castings and machined parts
Edge
- Deep-learning model (PyTorch)
- Edge inference
Traceability
- Decision record
- Images
- Model version
- Confidence score
MLOps
- Model training and versioning
Results
Outcome details for this engagement are shared under NDA. We're happy to walk through results and put you in touch with a reference on a call.
Stack
- PyTorch
- Edge inference
- MLOps
Facing something similar?
A senior engineer, not a salesperson, replies within one business day. NDA available before any detailed discussion.
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