Inventor — Visual QC System for Manufacturing Environment

Andriy Yeroshevych
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Platform for automated visual quality control of aerospace tube stamping, labelling, and marking. A five-stage on-device CoreML cascade — detection, segmentation, classification, OCR, and shape recognition — guides inspectors stamp-by-stamp, validating each result against the paper router and registration data. All inference runs on-device with no network dependency; end-to-end per-stamp detection completes in under 5 seconds.

[Task: Automate and enhance the process of tube QC checking](https://www.twine.net/signin

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