What this means in practice

  • A camera with even, soft light takes pictures of the face, rim, back and foot of each plate, bowl or mug as it comes out of the kiln or before packing, often on a turntable.
  • The model is trained on the clients own shapes and glazes. It flags chips, hairline cracks, glaze drips and crawling, bare or thin spots, pinholes, specks, warped rims, and decals, bands or handles that are crooked or missing.
  • Each flag is saved with a photo, the kiln load or batch, the shelf spot and the time, so the team can see if one glaze mix, kiln spot or step keeps causing the same problem.
  • A quality lead checks every flagged piece and decides whether it is sold as a first, sold as a second or pulled. The camera points at the ware, not at workers, and any people caught in view are blurred.
  • Start with one shape and one glaze, compare the camera flags with what the sorters find for a few weeks, and keep the existing food contact, lead and safety tests and the usual lab checks 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.