---
title: "How to inspect tortillas and flatbreads with computer vision"
description: "A camera over the cooling conveyor looks at each tortilla or flatbread and flags ones that are too small, out of round, torn, folded, stuck together, burnt or pale for a person to check, and it counts the stack before bagging. Each flag is saved with a photo and the line and time, so a drift in the press or oven shows up sooner. A line lead decides what is pulled, and the usual food safety steps, metal checks and lab tests stay in place."
url: https://lidvizion.ai/answers/how-to-inspect-tortillas-and-flatbreads-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can a tortilla or flatbread maker use computer vision to check products on the line?

A camera over the cooling conveyor looks at each tortilla or flatbread and flags ones that are too small, out of round, torn, folded, stuck together, burnt or pale for a person to check, and it counts the stack before bagging. Each flag is saved with a photo and the line and time, so a drift in the press or oven shows up sooner. A line lead decides what is pulled, and the usual food safety steps, metal checks and lab tests stay in place.

## What this means in practice

- A camera and even light above the cooling conveyor take a picture of every tortilla, wrap or flatbread as it leaves the oven and before it is stacked.
- The model is trained on the clients own products. It flags pieces that are too small or too big, out of round, torn, folded, doubled or stuck together, and ones with burnt spots or a pale bake.
- It also counts the pieces in each stack before bagging and saves every flag with a photo, the line and the time, so the team can spot when the press, dough or oven starts to drift.
- A line lead checks the flags and decides what is pulled or reworked. The camera points at the product, not at workers, and any people caught in view are blurred.
- Start with one line and one product, compare the camera flags and counts with what the crew finds for a few weeks, and keep the existing food safety plan, metal detection, weight checks and lab tests 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

- [How can a jewelry maker or seller use computer vision to inspect finished pieces?](https://lidvizion.ai/answers/how-to-inspect-jewelry-with-computer-vision/)
- [How can an optical lab use computer vision to inspect eyeglass lenses?](https://lidvizion.ai/answers/how-to-inspect-eyeglass-lenses-with-computer-vision/)
- [How can a shoe or boot maker use computer vision to inspect finished footwear?](https://lidvizion.ai/answers/how-to-inspect-footwear-with-computer-vision/)

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