What this means in practice

  • A camera and backlight at the last station take a picture of each blind or shade while it hangs fully lowered on a test frame, so holes, gaps and uneven spacing show up clearly.
  • The model is trained on the clients own products and fabrics. It flags bent, cracked or missing slats, uneven pleats or folds, holes, stains, frayed or loose edges, crooked or loose bottom rails, colors that do not match the order, and pieces that look too wide or too narrow for the order.
  • Each flag is saved with a photo, the order number and the time, so the team can see if one cutting table, machine or fabric roll keeps causing the same problem.
  • A quality lead checks every flagged piece and decides whether it ships, gets fixed or is remade. The camera points at the product, not at workers, and any people caught in view are blurred.
  • Start with one line and one product type, compare the camera flags with what the inspectors find for a few weeks, and keep the existing size, cord, lift and child safety 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.