What this means in practice

  • A camera with soft, even light takes pictures of each faucet, shower head, spout or handle after polishing, plating or final assembly, often while it turns on a small table.
  • The model is trained on the clients own models and finishes. It flags scratches, pits, dull or uneven plating, blisters or peeling, color that does not match the finish, missing aerators, caps or handles, crooked logos, and parts fitted the wrong way.
  • Each flag is saved with a photo, the model, the batch and the time, so the team can see if one plating tank, polisher or assembly station keeps causing the same problem.
  • A quality lead checks every flagged piece and decides whether it ships, gets reworked or is pulled. The camera points at the product, not at workers, and any people caught in view are blurred.
  • Start with one line and one model, compare the camera flags with what the inspectors find for a few weeks, and keep the existing leak, flow, finish and code 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.