What this means in practice

  • A camera and soft, even light take pictures of the face, spokes, rim edge and back of each wheel while it turns on a small table, after machining, painting, clear coat or refinishing.
  • The model is trained on the clients own wheel designs and finishes. It flags scratches, curb rash, pits, chips, paint runs, orange peel, bare or thin spots, color or gloss that does not match the set, and missing or crooked caps, inserts or valve holes.
  • Each flag is saved with a photo, the part number, the batch and the time, so the team can see if one lathe, paint booth, oven or step keeps causing the same problem.
  • A quality lead checks every flagged wheel and decides whether it ships, gets reworked or is pulled. The camera points at the wheels, not at workers or customers, and any people or plates caught in view are blurred.
  • Start with one line and one wheel design, compare the camera flags with what the inspectors find for a few weeks, and keep the existing balance, runout, leak, strength and finish 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.