How it works

A warehouse is a demanding environment for a camera. The light shifts, racking hides half the frame, and the same box looks different from two metres away. We split the problem into layers, each doing one job and handing it cleanly to the next.

• Perception & detection

  A camera sees pixels. The first job is turning them into objects: where the pallet ends, where the rack begins, what the operator is holding. Until this part is right, nothing built on top of it matters.

• Tracking

  Detection gives you a moment. Tracking gives you a history: that the pallet in frame 900 is the same one from frame 12, even after someone walked in front of it.

• Spatial mapping

  A box inside a frame tells you little. Mapping answers where: which aisle, which rack, which slot — in coordinates the warehouse understands, not the camera.

• Data capture (AIDC)

  Before machine vision, the physical world spoke in barcodes. It still does. Scanners, label printers and handheld terminals already work in every warehouse — we use them where they are the right tool, not because they are the old one.

• Control & integration

  A correct detection that goes nowhere is worth nothing. The last step is landing it where the work is actually judged: in the ERP, in the warehouse system, on the line controller.