WHAT YOU GET
A second pair of eyes that never gets tired.
Trained on your parts, your defects and your lighting — not on a demo dataset. It runs beside the machine, at line speed, and keeps the image behind every decision it made.
Visual inspection
Every part checked against what a good one looks like, at the speed the line already runs. No sampling, no "we check every tenth one and hope".
Defect classification
Not just pass or fail. Scratches, dents, misprints, missing components and wrong orientation come back as named categories you can count and act on.
Counting and completeness
How many are in the tray, on the pallet, in the box. Kit completeness checked before the lid goes on, which is the cheapest moment to find a missing part.
Measurement without contact
Dimensions, gaps, angles and alignment read from an image. Nothing touches the part, so nothing slows the line down or marks the surface.
Traceability that holds up
Every decision stored with the image that produced it, tied to batch, shift and machine. When a customer asks about one unit, you can show them that unit.
Runs on the line, not in a data centre
Inference happens on a box beside the machine. The line keeps working when the internet does not, and no image has to leave the building for a decision to be made.
WHERE IT GOES NEXT
A camera that counts becomes a plant that explains itself.
Inspection is the groundwork. Once every part carries a recorded verdict, the same data answers questions that used to need a meeting and a spreadsheet.
Yield by cause, not by total
Scrap stops being one number at the end of the month and becomes a ranked list: this defect, on this machine, on this shift, costing this much.
Drift caught before it is scrap
A measurement creeping toward tolerance is visible days before it crosses it. That is the difference between a scheduled adjustment and a rejected batch.
Faster changeovers
First-off approval from the camera rather than from a queue at the quality bench, so a short run stops costing more in setup than it earns.
Connected to the rest of the business
Verdicts flow into the same system that holds the order and the customer, so a quality question and a delivery question have the same answer.
Vision needs images of your parts before it can judge them — good ones and bad ones. We are honest about that up front: the first phase is collecting and labelling, and we tell you what accuracy is realistic before you commit to a line.
Machine vision is the newest line of our work and we are open about where it stands: the models and the edge deployment are ours, the reference plant is not built yet, and we will tell you that in the first call rather than after the contract.
Bring us a part and a problem.
Send a handful of photographs — good parts and the defects you actually care about — and we will tell you plainly whether a camera can judge them, and roughly what it would take.