Identify the item itself — no tag required.

It's too small to tag. We assumed traceability was out of reach.

Even parts too small to tag get an ID from their own surface pattern.

One defective unit means recalling the whole lot.

Narrow recalls down to only the individual units with the defect.

We can't trace which process produced a given defect, item by item.

Link process data to each item and use it to improve yield.

Tags and labels ruin the product's design.

Manage items without attaching or engraving anything.

Laser engraving takes time and process steps — and some materials can't be engraved.

Eliminate the engraving process entirely.

Removing tags before shipment costs real time and money.

Nothing gets attached, so there's nothing to remove.

We relabel purchased or supplied parts with our own tags to manage them.

Register the item itself, exactly as received.

On an unmanned line, we can't confirm a part handed from robot to robot is really the same individual.

Match the physical item at every handoff.

We lack skilled inspectors who can spot defects. We want to start AI inspection, but with high-mix low-volume production we can't collect defect images.

Build an inspection AI using only images of normal products.

Counting loose parts by hand makes quantity checks and stocktaking slow.

Read type and quantity from a single photo.

Counterfeit and substituted versions of our products are circulating in the market.

Verify whether an item is the same physical unit you registered.

We don't know what to link, or how, for the EU's Digital Product Passport (DPP).

Link the physical item itself to a product ID.

We have no way to confirm that a remote item is the exact one we registered.

Match the physical item against its digital record from a single image.