/answers/how-to-check-eggs-on-a-packing-line-with-computer-vision/index.md · 42 lines
---
title: "How to check eggs on a packing line with computer vision"
description: "Place a camera and steady lighting over the rollers before eggs reach the packers, then use a model trained on the plant own images to mark eggs that look dirty or stained, cracked, misshapen or off color, plus empty or doubled spots in a row. Marked eggs are pulled for a closer look, and flags are logged by lane and time so the shift lead can spot a problem early. The model only checks how shells look from the outside; it does not replace candling, official grading or any food safety rule, and trained staff make the final call on every egg pulled."
url: https://lidvizion.ai/answers/how-to-check-eggs-on-a-packing-line-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can an egg packer use computer vision to catch dirty, cracked or misshapen eggs on the line?
Place a camera and steady lighting over the rollers before eggs reach the packers, then use a model trained on the plant own images to mark eggs that look dirty or stained, cracked, misshapen or off color, plus empty or doubled spots in a row. Marked eggs are pulled for a closer look, and flags are logged by lane and time so the shift lead can spot a problem early. The model only checks how shells look from the outside; it does not replace candling, official grading or any food safety rule, and trained staff make the final call on every egg pulled.
## What this means in practice
- Set up a fixed camera and steady lighting over the rollers so every egg is shown the same way
- Collect images of eggs that trained staff have already sorted, for each shell color and size
- Label the shell defects the plant tracks, plus clean examples of each type of egg
- Send flagged eggs to trained staff and log flags by lane and time
- Add reviewed images back into training whenever a new flock, shell color or line setting comes in
## 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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