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Adding a new part variant to a running inspection line.

Inspection camera aimed at a new part variant on a running conveyor

Updated July 2026 · 6 min read · Adente Vision Engineering Team

Adding a new variant takes about 20 good images, no defect samples. The model trains good-parts-only in under 48 hours while the line keeps running, deploys by USB, and recognises each part at run time with per-part confidence. It is an operator or integrator task, not a multi-month project or a vision-engineer hire.

The question integrators get asked most often is not about accuracy, it is about change: a customer adds a part, and how fast can the line inspect it, and who does the work? On a traditional vision system the answer is a new project. On a good-parts-only unit it is a two-day task.

What does adding a variant actually require?

Four things, none of which is a defect library. You capture about 20 good images of the new variant on the line, train a model on those good parts only, validate it on the first real parts, and deploy it. Because the model learns the good part rather than a catalogue of defects, there is nothing to stage, seed or label. For the mechanism behind good-parts-only training, see how to inspect a part with only 20 images.

Onboarding a variant, step by step

StepWhat it involvesOwner and time
Capture about 20 good imagesOn the line, no defect samplesOperator or integrator, minutes
Train the modelGood-parts-only, on-deviceUnder 48 hours, unattended
Validate on first partsCheck false rejects and escapesQuality or integrator
Deploy the modelUSB update, keep the old oneIntegrator, minutes
Run with per-part confidenceVariant recognised each partAutomatic

The line does not stop for any of this. It keeps inspecting current work while the new model trains in the background, and the deployment is a USB update that keeps the previous model as a fallback.

How does the running line tell the variants apart?

  1. 01The unit recognises the variant of each part as it arrives, not in batches.
  2. 02A per-part confidence score drives the decision, above 0.9 in a bumper deployment.
  3. 03An ambiguous part takes a safe default rather than being guessed.
  4. 04The right inspection, or the right robot program, follows from the recognised variant.

This is the same recognition that lets a unit signal left versus right headlight to a robot at a leading automotive OEM. Adente Vision is an edge-AI visual inspection unit built by ADENTE Advanced Engineering Technologies, part of the Aden Group, sold through automation system integrators, so the integrator who runs the line owns the changeover and keeps the customer. See the integrator model, and how a 30-minute field install sets it up, plus the pillar on AI visual inspection.

Frequently asked questions

Onboarding a new SKU or variant?

Send us about 20 good images of the new part, and we show how fast the line can inspect it before quoting. See how Adente Vision adds a variant without a vision engineer.