Counting and classification
Component counting, part sorting, variant identification, kitting.
Counting sounds trivial until parts overlap, touch, vary in size, or arrive in a kit where the question is not how many but which ones.
Rule-based counting depends on separation and consistent presentation. When either breaks down, the count is wrong in a way that is hard to notice — which is worse than a count that fails outright.
FOCUS™ AI identifies each item and classifies it as it counts, so the result carries information about what was found and not just how much. That makes kitting verification, variant identification and sorting decisions possible from the same inspection.
What we inspect
- Component countingCounts that hold up when parts touch or overlap.
- Part sortingRouting decisions based on what the part actually is.
- Variant identificationDistinguishing near-identical variants on a mixed line.
- KittingVerifying that a kit contains the right set of items.
How we get there
The first three steps of our deployment process. Nothing is promised before feasibility has been assessed.
- 01
Show us the challenge
Share your products, defect types, production environment and inspection requirements. Physical samples, images or video — whatever best represents the problem.
- 02
Validate feasibility
Our engineers analyse whether FOCUS™ AI can reliably identify the required deviations at production speed. Honest assessment — including the cases where we recommend a different approach.
- 03
Train FOCUS™ AI
Build and optimise the inspection model using representative production data — real defects, real variation, real production conditions.
ZERO DEFECTS IS THE TARGET.
ZERO RECALLS IS THE RESULT.
ZERORECALLS.AI
Vision that never loses focus.
Have an inspection challenge? Put our Vision AI to the test. We will tell you whether we can solve it — and if we can, we will show you how fast.
