Private AI for quality engineers.

Detect a defect and preserve the evidence for disposition

Classify visible defects, detect measurement shifts and group nonconformances by product and process condition.

Inputs: Labelled inspection images, gauge measurements, product specifications and lot traceability.

From observation to completed task

Place suspect items in a review queue and create a quality event with images and measurements.

Organise nonconformance records into a review worklist

The supporting records include approved defect reports, quality procedures and corrective-action notes.

Quality staff verify causes and approve dispositions.

The systems involved

Inspection cameras, calibrated measurement sources and quality-system integration.

SOS AI configures the local models and tool permissions for this workflow. Actions in business software follow the authority you approve; uncertain cases and actions outside those limits go to the responsible person.

What a useful result must get right

Validate false accepts and false rejects per defect class; qualified staff approve disposition.