What we build
AI Quality Inspection: what you get
- Defect detection on surfaces and parts
- Presence and assembly checks
- Dimension and alignment checks from images
- Pass/fail signals to your line or operator screen
- Image and result logging for traceability
- Dashboards showing defect trends
This is a good fit if…
- Manual inspection is slow, tiring or inconsistent
- You need a record of every inspection
- Defects are visible in an image
Typical uses
- Find scratches or dents on surfaces
- Check that all parts are present in an assembly
- Log an image and result for every product inspected
How it works
A simple process, no surprises
- 1
Discovery
We see your line, the defects that matter and how inspectors judge them today.
- 2
Scope and plan
We agree the camera and lighting set-up, the defect list and the pass/fail targets.
- 3
Build and review
We collect examples, train and test on your products, and measure missed and false detections.
- 4
Deliver and support
We install on the line, connect the pass/fail signal and keep tuning with your quality team.
Technologies we use for this
- OpenCV
- PyTorch
- ONNX / TensorRT
- Industrial cameras
- Edge devices
Reviews
What clients say
★★★★★
“They took a task my team repeated every week and turned it into a single button. Clear communication throughout, and the handover documentation meant we could use it straight away”
FAQ
AI Quality Inspection: common questions
Can it work with our existing cameras?+−
Often yes. Image quality and lighting matter more than the brand of camera, and we check this at the start.
How are false alarms handled?+−
We tune the system with you and route uncertain cases to a person, so quality is protected while the model improves.
Does it need an internet connection?+−
No. Inspection can run locally on the line.
Related services
Need ai quality inspection?
Send us photos of good and defective parts. We will tell you if automated inspection suits your product.
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