How can a nut huller, sheller or packer use computer vision to sort kernels and in-shell nuts?

---
title: "How to sort nuts with computer vision"
description: "Cameras over a sorting belt or chute capture each nut as it passes. A model trained on the packer own images, labeled against its own grade standards, marks likely defects such as broken or chipped kernels, shriveled or discolored nuts, insect damage, mold, shell pieces and foreign material like stones or sticks. Flagged items can be routed to a reject lane or a recheck bin, and every flag keeps its photo so the quality lead can see why it was pulled. The quality team reviews the reject bins and sample counts during each shift, adjusts the settings when too much good product is lost, and decides what is graded and shipped. The model does not replace official grading, food safety tests or lot sampling, which stay in place, and people make every grade and release call."
url: https://lidvizion.ai/answers/how-to-sort-nuts-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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# How can a nut huller, sheller or packer use computer vision to sort kernels and in-shell nuts?

Cameras over a sorting belt or chute capture each nut as it passes. A model trained on the packer own images, labeled against its own grade standards, marks likely defects such as broken or chipped kernels, shriveled or discolored nuts, insect damage, mold, shell pieces and foreign material like stones or sticks. Flagged items can be routed to a reject lane or a recheck bin, and every flag keeps its photo so the quality lead can see why it was pulled. The quality team reviews the reject bins and sample counts during each shift, adjusts the settings when too much good product is lost, and decides what is graded and shipped. The model does not replace official grading, food safety tests or lot sampling, which stay in place, and people make every grade and release call.

## What this means in practice

- Start with one sorting line and one product, such as shelled kernels.
- Label a few thousand photos from your own crop against your own grade sheet.
- Send flags to a recheck bin before using automatic rejects.
- Review reject bins and sample counts each shift.
- Keep official grading, food safety tests and lot sampling 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.

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