VerdefSoftTECHNOLOGIES
Concept system

AI Visual Quality Inspection System

A reference inspection station that connects controlled image acquisition, defect analysis and traceable quality decisions.

Concept system reference diagram
Reference architecture / illustrative concept
This is a design concept, not a commissioned factory installation. No trained model, performance benchmark, customer or deployment outcome is presented.

The engineering question

How can a station distinguish accepted, rejected and uncertain parts while preserving the evidence behind each result?

Proposed scope

  • Triggered industrial camera and controlled illumination
  • Rules-based baseline compared with candidate AI methods
  • Versioned model, decision thresholds and image references
  • PLC handshake with missing-result and review states

Reference decision path

01 →Trigger + capture
02 →Pre-process
03 →Vision / AI evaluation
04 →OK / NG / review
05 →PLC acknowledgement
06 / OUTPUTPersist result + evidence

Validation plan

  • Create a representative sample set with agreed defect labels.
  • Measure false accept, false reject and end-to-end timing.
  • Exercise camera loss, processing timeout and borderline samples.
Start with the engineering problem

What does your process
need to do better?

Share the part, the machine, the constraint and the result you need. That is the starting point for a useful technical conversation.

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