What this means in practice

  • A camera and light set up next to the machine, at a wash station or at final inspection take pictures of each part, or a sample from each batch, from the sides that matter.
  • The model is trained on the clients own parts and drawings. It flags burrs, scratches, dents, chatter or tool marks, missing or extra holes, missing threads, leftover chips and coolant, and parts placed the wrong way.
  • Each flag is saved with a photo, the job or part number, the machine and the time, so the shop can see when one tool or setup starts making the same mark again and again.
  • A quality inspector checks every flagged part and decides whether it passes, gets reworked or is scrapped. The camera points at the parts, not at the machinists, and any people caught in view are blurred.
  • Start with one machine and one part, compare the camera flags with what the inspectors find for a few weeks, and keep the existing gauges, measuring machines, first article checks and customer quality rules 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.