Vision
Machine Vision & AI Inspection
Cameras that check, measure, read and guide, using classic vision tools first and deep learning where rules run out.
Vision projects succeed or fail on lighting, optics and part presentation long before any algorithm matters. We start there, prove the image, and only then choose the tool.
Simple presence and measurement checks use fast rule-based tools. Variable defects, natural products and bin picking are where learned models earn their place.
What we do
- Presence, orientation, count and dimensional checks
- Barcode, label and date-code reading and verification
- Vision-guided robot picking and placement
- Deep-learning defect detection for variable surfaces and products
- Lighting, lens and camera selection with sample-part trials
- Pass and fail image logging with links to lot or serial numbers
What you get
- A measured false-reject and false-accept rate before sign-off
- Stored images for every reject
- A setup your technicians can re-teach
Questions about machine vision & ai inspection
Do we need AI for inspection?
Often not. If the defect can be described by a rule, a rule is faster, cheaper and easier to validate. We use learned models where the product or defect varies too much for that.
Can you test on our parts before we commit?
Yes. A feasibility trial on good and bad sample parts comes first, with the images and results in the report.
Will it slow the line down?
Inspection is sized to your rate at the start. If the cycle time cannot be met we say so before you buy hardware.
Need help with machine vision & ai inspection?
Tell us what the machine does today and what you want it to do.