---
title: "How to track kegs and barrels with computer vision"
description: "A camera at the dock or cellar door reads the code or label on each keg or barrel as it moves, so the team knows what is filled, empty, out at a customer or aging in which row. The same images can flag dents, leaks, missing caps or bungs and damaged rings for a person to check. A cellar lead reviews every flag, and the usual cleaning, quality and tax records stay in place."
url: https://lidvizion.ai/answers/how-to-track-kegs-and-barrels-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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# How can a brewery, winery or distillery use computer vision to track kegs and barrels?

A camera at the dock or cellar door reads the code or label on each keg or barrel as it moves, so the team knows what is filled, empty, out at a customer or aging in which row. The same images can flag dents, leaks, missing caps or bungs and damaged rings for a person to check. A cellar lead reviews every flag, and the usual cleaning, quality and tax records stay in place.

## What this means in practice

- A fixed camera at the dock, cellar door or wash line reads the printed code, tag or label on each keg or barrel as it passes, and logs the time and the direction it moved.
- The log shows which containers are filled, empty, out at a customer or waiting to be cleaned, and which row or rack each barrel sits in, so the team spends less time hunting and counting by hand.
- The model is trained on the clients own containers and labels. It can also flag dents, wet spots or drips, missing caps or bungs, loose or rusted rings and labels it cannot read.
- A cellar lead or brewer checks every flag before a container is filled, shipped or pulled. The camera points at containers on the line, not at people, and any people or plates caught in view are blurred.
- Start with one door or one wash line and one container type, compare the log with a hand count for a few weeks, and keep the existing cleaning, quality, safety and tax records the business already uses.

## 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 quarry, mine or aggregate plant use computer vision to keep an eye on rock size between lab tests?](https://lidvizion.ai/answers/how-to-estimate-rock-and-aggregate-size-with-computer-vision/)

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