Lab Grading. One sample, one check and an objective result.
Your inspector checks 200 carrots per sample, by hand. Tomorrow a colleague will check it automatically.
- Load. Place the sample on the tray, the tray in the device, done.
- Measure. Within seconds: counts, size distribution, defects, with images to match.
- Review. Your quality manager corrects whatever the AI got wrong, and the device learns from it.
- Transfer. Those same models later run on your inline setup, fully trained.
That way every sample is inspected in exactly the same way.
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