---
title: "How to inspect chocolate and candy with computer vision"
description: "A camera over the cooling tunnel exit or the packing belt takes a photo of each piece. A model trained on the maker own images, labeled against its own product specs, marks likely defects such as broken or misshapen pieces, uneven coating, bloom, air bubbles, missing decoration and pieces stuck together. It also checks that trays and boxes have the right count and layout before they are sealed. Flagged pieces go to a recheck lane, and each flag keeps its photo so the line lead can see why it was pulled and spot a drift in temperature or depositing early. The quality team checks samples each shift and decides what is packed, reworked or rejected. The model does not replace food safety tests, metal detection or allergen checks, which stay in place, and people make every quality and release call."
url: https://lidvizion.ai/answers/how-to-inspect-chocolate-and-candy-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Direct answers](https://lidvizion.ai/answers/)

# How can a chocolate or candy maker use computer vision to check pieces on the line?

A camera over the cooling tunnel exit or the packing belt takes a photo of each piece. A model trained on the maker own images, labeled against its own product specs, marks likely defects such as broken or misshapen pieces, uneven coating, bloom, air bubbles, missing decoration and pieces stuck together. It also checks that trays and boxes have the right count and layout before they are sealed. Flagged pieces go to a recheck lane, and each flag keeps its photo so the line lead can see why it was pulled and spot a drift in temperature or depositing early. The quality team checks samples each shift and decides what is packed, reworked or rejected. The model does not replace food safety tests, metal detection or allergen checks, which stay in place, and people make every quality and release call.

## What this means in practice

- Start with one line and one product.
- Label a few thousand photos from your own pieces against your own specs.
- Send flags to a recheck lane before using automatic rejects.
- Check tray and box counts before sealing.
- Keep food safety tests, metal detection and allergen checks 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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- [How can a plant nursery or transplant grower use computer vision to check seedling trays?](https://lidvizion.ai/answers/how-to-check-seedling-trays-with-computer-vision/)
- [How can a tannery or leather goods maker use computer vision to grade hides and plan cutting?](https://lidvizion.ai/answers/how-to-grade-leather-hides-with-computer-vision/)

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