Industries

Smart manufacturing & inspection

Product changes do not mean a rebuild

The problem

The most expensive thing on a production line is not the model but re-labelling, re-tuning and re-qualifying at every changeover. The criteria exist only in the experience of senior inspectors, and the system has no way to learn them.

How we do it
  1. 1

    Defect criteria written down together with senior inspectors as versioned skills

  2. 2

    Line data layered Raw / Clean / Curated; process parameters enter the context

  3. 3

    Edge sandbox execution isolated from MES and other line systems

  4. 4

    Declining manual-review rate as the acceptance metric

Context

Defect criteria, process parameters, Raw / Clean / Curated line data

Harness

Edge sandbox execution; permission isolation from line systems

Skills

Changeover judgement skills, inspection parameter recipes

What the client gets

New scenarios adapted within weeks; product changes do not mean a rebuild

Evidence

AI Visual Inspection: reflective-surface defect detection with imaging, algorithms and models as three cooperating layers; new scenarios adapted within weeks.

Start with one concrete scenario, not a product list.

Tell us which scenario is still not in production: where the data lives, who uses it, and who signs off. One workshop gives you a verifiable path forward.