How can a beverage or food canner use computer vision to check cans on the line?

---
title: "How to inspect cans on a filling line with computer vision"
description: "Place cameras and steady lighting where cans pass after filling and seaming, then use a model trained on the plant own images to mark likely dents, scratches, damaged or missing lids, ends that look poorly seated, print and coding faults and cans that are tipped or crushed. Each mark points to the can, line and time, so line staff can reject it and a quality tech can see if one seamer head or station keeps showing up. The model only checks what the camera can see; it does not replace seam teardown checks, fill checks or any food safety step, and people decide what happens to held product."
url: https://lidvizion.ai/answers/how-to-inspect-cans-on-a-filling-line-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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# How can a beverage or food canner use computer vision to check cans on the line?

Place cameras and steady lighting where cans pass after filling and seaming, then use a model trained on the plant own images to mark likely dents, scratches, damaged or missing lids, ends that look poorly seated, print and coding faults and cans that are tipped or crushed. Each mark points to the can, line and time, so line staff can reject it and a quality tech can see if one seamer head or station keeps showing up. The model only checks what the camera can see; it does not replace seam teardown checks, fill checks or any food safety step, and people decide what happens to held product.

## What this means in practice

- Set up fixed cameras and steady lighting after filling and seaming so each can is shown the same way
- Collect images of cans that quality staff have already passed or rejected, for each size and label
- Label the visible defects the quality team tracks, plus good examples of each can
- Send rejects to line staff and log flags by line, station and time so trends show up early
- Add reviewed images back into training whenever a new size, label or lid supplier 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.

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