Visual quality inspection agent
Finds product defects on a production line and helps engineers investigate their causes.
Problem it solves
Manual inspection is tiring, inconsistent, and difficult to scale as production speeds increase.
Inputs
Product images, quality standards, defect classes, and batch data.
Outputs
Defect mask or region, class, confidence, and batch-level statistics.
How it works
A local vision model marks anomalies, while an analytics agent connects them with batch, shift, and process parameters.
Limits and boundaries
Each product type requires representative images and agreed defect criteria.
Infrastructure requirements
Industrial camera, controlled lighting, and a GPU sized for line speed.
Performance depends on the specific data and configuration.