What this means in practice

  • A camera and even light take pictures of the palm and back of each glove as it comes off the knitting machine, the coating line or the sewing table, often while it sits on a hand form.
  • The model is trained on the clients own gloves and coatings. It flags holes, dropped or loose stitches, thin, bare or uneven coating, drips and bubbles, missing or short fingertips, loose cuffs, and left and right gloves that do not match in size or color.
  • Each flag is saved with a photo, the line, machine and batch, and the time, so the team can see if one knitting head, form or coating tank keeps causing the same problem.
  • A quality lead checks every flagged glove and decides whether it ships, gets fixed or is pulled. The camera points at the gloves, not at workers, and any people caught in view are blurred.
  • Start with one line and one glove style, compare the camera flags with what the inspectors find for a few weeks, and keep the existing cut, grip, wear and label 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.