What this means in practice

  • A camera with a backlight takes a picture of each spring as it drops off the coiler, leaves the oven or moves down a feed track, so the outline and coil spacing show up clearly.
  • The model is trained on the clients own springs and drawings. It flags springs that look too long or too short, uneven or touching coils, ends that are bent, open or not ground flat, missing or twisted hooks, cracks, rust, and springs tangled together.
  • Each flag is saved with a photo, the machine, the lot and the time, so the shop can see when one coiler, tool or setup starts to drift.
  • A quality inspector checks every flagged spring and decides whether the lot passes, gets sorted or is held. The camera points at the parts, not at workers, and any people caught in view are blurred.
  • Start with one coiler and one part, compare the camera flags with what the inspectors find for a few weeks, and keep the existing load, size, fatigue and customer quality 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.