This hypothetical architecture illustrates how images, process context, and written inspection criteria could support qualified visual reviewers. It does not describe a deployed inspection system or claim production results.
A quality team reviews visual conditions that may vary with lighting, equipment, product configuration, and defect type, while inspection decisions require traceability and specialist authority.
The evaluation must distinguish acquisition failure, unfamiliar conditions, model error, and reviewer disagreement before visual findings can support a quality decision.
Controlled cameras, lighting, and acquisition interface
Image-quality and preprocessing services
Versioned visual and multimodal models
Rule engine and human-review workstation
Result store, traceability, monitoring, and model management
Study inspection decisions and imaging conditions
Define taxonomy, labels, and critical failure types
Build a governed evaluation dataset
Prototype and run shadow comparison
Review evidence before any release decision
No defect threshold, rejection change, or production result is claimed. Acceptance would be set by condition type, criticality, imaging limits, and qualified reviewer evidence.
Bring the imaging conditions, condition taxonomy, reviewer criteria, process context, and disposition authority needed for a representative evaluation.