Rename project to machine-vision-poc and clarify initial use case
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# Carbofol Machine Vision PoC
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# Machine Vision PoC
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Explore whether camera images and reproducible illumination can reliably reveal surface defects on a Carbofol sealing membrane during production. Build a reviewable defect catalogue and a small operator interface as the foundation for later software development.
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Explore camera-based inspection of production processes using reproducible illumination and machine vision. Build a reviewable defect catalogue and a small operator interface as the foundation for later software development.
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**First use case:** surface inspection of Carbofol sealing membrane. The requirements, hardware estimates and experiments below describe this initial use case; future materials and processes may require different capture configurations, models and acceptance criteria.
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**Status:** documentation and source placeholder only. No capture service, trained model, benchmark, validated detection accuracy or deployed application exists in this repository. Hardware has not been selected or purchased as part of this task.
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## Requirements from the discussion
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## Initial use case: requirements from the discussion
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| Constraint | Current scope |
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## Software home
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`src/carbofol_inspection/` reserves the Python package. Its README describes intended boundaries. No dependencies, runtime commands or API endpoints are claimed to work yet. Introduce packaging and pinned dependencies with the first executable vertical slice, starting with recorded images before camera integration.
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`src/machine_vision_poc/` reserves the Python package. Its README describes intended boundaries. No dependencies, runtime commands or API endpoints are claimed to work yet. Introduce packaging and pinned dependencies with the first executable vertical slice, starting with recorded images before camera integration.
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Keep runtime images, databases, model weights, secrets and generated outputs out of Git. The future application should accept an explicit data root, preferably on SSD and outside the checkout. Git tracks code, configuration examples and documentation; it is not the defect database.
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