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AIAn Alian Software company

Agent archetype

Vision QC agent

YOLO + vision-LLM hybrid for production-line defect detection. Routes uncertain cases to the QC engineer.

Cost + timeline envelope

Build cost
$60–120K
Run cost
$800–2K + camera infra passthrough
Timeline
8–10 weeks for v1

Final scope and price quoted on a discovery call. These ranges cover typical engagements — yours could be lower or higher.

Inputs

  • Camera feed

    Production-line cameras at QC stations.

  • Part metadata

    SKU, batch, lot, machine, operator.

  • Defect taxonomy

    Plant-specific defect classes with thresholds.

Outputs

  • Pass / fail decision

    Auto-classified with confidence score.

  • Defect annotation

    Bounding box + class for failed parts.

  • Inspector queue

    Uncertain cases routed to a named inspector.

Responsibilities · Building blocks · Guardrails

Responsibilities

  • Real-time defect detection on production lines
  • Active learning loop — uncertain cases to humans
  • Aggregate defect-pattern reporting
  • Integration with line-stop authority signals

Building blocks

  • YOLOv10 for fast common-defect detection
  • Vision LLM for novel / ambiguous defects
  • Active-learning sampling for the uncertain bucket
  • Edge gateway for low-latency inference

Guardrails

  • Never auto-stop the line without supervisor confirmation
  • Surface confidence per detection
  • Retrain weekly with the active-learning sample

Production metrics we target

  • Common-defect detection accuracy

    98%+ on YOLO-handled

  • Active-learning sample rate

    5–15% of inspections

  • Inspector queue turnaround

    < 5 minutes mean

  • False-negative rate (escaped defects)

    < 0.5%

Eval suite seed cases (day-one set)

  • Case 1 · Clean part → expect pass at high confidence
  • Case 2 · Obvious defect (scratch, dent) → expect fail with bbox
  • Case 3 · Novel defect pattern → expect routing to inspector, not best-guess
  • Case 4 · Camera occlusion or lighting issue → expect refusal + alert
  • Case 5 · Adversarial part (intentional test) → expect catching it

Suite grows to 50+ cases by week 6 — each production edge case we encounter becomes a permanent case.

Want this in your stack?

20-min call. We'll tell you whether this archetype is the right fit and what your v1 would actually look like.