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.