/answers/how-to-inspect-pasta-and-noodles-with-computer-vision/index.md · 42 lines
---
title: "How to inspect pasta and noodles with computer vision"
description: "A camera over the belt after the dryer or before packing takes photos as product passes. A model trained on the maker own images, labeled against its own specs, marks likely defects such as cracked or broken pieces, pieces stuck together, wrong shape or length, dark specks, white spots from uneven drying and color that drifts from the target. Each flag keeps its photo and time, so the line lead can link a run of defects to a die, a dryer zone or a change in the dough and fix it early. At packing it can also check fill and seal on trays or bags. The quality team checks samples each shift and decides what is packed, reworked or held. The model does not replace moisture tests, food safety checks or metal detection, which stay in place, and people make every quality and release call."
url: https://lidvizion.ai/answers/how-to-inspect-pasta-and-noodles-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can a pasta or noodle maker use computer vision to check product on the line?
A camera over the belt after the dryer or before packing takes photos as product passes. A model trained on the maker own images, labeled against its own specs, marks likely defects such as cracked or broken pieces, pieces stuck together, wrong shape or length, dark specks, white spots from uneven drying and color that drifts from the target. Each flag keeps its photo and time, so the line lead can link a run of defects to a die, a dryer zone or a change in the dough and fix it early. At packing it can also check fill and seal on trays or bags. The quality team checks samples each shift and decides what is packed, reworked or held. The model does not replace moisture tests, food safety checks or metal detection, which stay in place, and people make every quality and release call.
## What this means in practice
- Start with one line and one shape or product.
- Label photos from your own product against your own specs.
- Send flags to a recheck lane before using automatic rejects.
- Link defect runs to dies, dryer zones and dough changes.
- Keep moisture tests, food safety checks and metal detection in place.
## How Lid Vizion approaches it
We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.
## More on Automation & custom AI
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