A Riomha concept study

A clearer view of quality.

A clearer view of quality
Focus areaComputer vision
Project typeIllustrative concept
ApproachHuman-centred AI

The challenge

Illustrative concept: a production team reviews a high volume of images for visible inconsistencies. Lighting, camera position, and subtle variations make a dependable review process difficult to design.

Our approach

The proposed workflow flags possible anomalies and presents the supporting image to an experienced reviewer. Evaluation includes ordinary variation and difficult examples, with particular attention to missed defects and unnecessary alerts.

The intended outcome

This concept shows how computer vision could support a consistent first review. A real pilot would establish whether the image data and error rates are suitable for the operational setting. No performance improvement is asserted.

Capabilities involved

  • Anomaly detection
  • Reviewer feedback
  • Visual evidence
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