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Manufacturing · Quality

Visual quality inspection

Computer vision tuned to your parts finds defects in milliseconds, and shows where.

98%
detection accuracy
50%
fewer escaped defects
ms
first-pass per image

A camera or X-ray already sees every part. The bottleneck is the human who has to judge each image. Vision tuned to your parts does the first pass in milliseconds, scores how unusual each image looks, and points to where the problem is, so people spend their time on the borderline calls.

How it works
  1. Capture the image the line already produces.
  2. Score and rank each image by how unusual it looks.
  3. Localize the suspected defect and roll up to the part.
  4. A person confirms the borderline cases; their labels improve it.
Inputs
  • Line, X-ray or camera images
  • Part or barcode identifiers
  • Any historical labels you already have
Outputs
  • Per-image risk score and defect location
  • Barcode-level pass or fail roll-up
  • A review queue ordered by risk
Where it fits

High-mix lines, subtle defects, several machines, and anywhere an escape is expensive.

Governance & standards

We design and deploy to the ISO/IEC 27001 (information security) and ISO/IEC 42001 (AI management system) frameworks. Data stays where it should, decisions that carry real cost keep a human in the loop, and every model call is logged for audit.

ISO/IEC 27001
Information security management
ISO/IEC 42001
AI management system

Designed and deployed to these frameworks. Not a certification claim.

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