Solutions
Find where GAZIRU fits, starting from your challenge. Each solution is realized by combining our products (GAZIRU.z, GAZIRU.eye and GAZIRU.r).
Why individual identification? Why tagless?
Why individual identification matters
With lot-based management, both the cause of a defect and the scope of a recall can only be narrowed down to "the whole lot." When you can distinguish each item individually, you can link history, inspection results, and shipping destinations to that item — so recalls target only the units that need it, and improvement efforts target only the process at fault.
What tagless identification gives you
Tags have three weaknesses: they can't always be attached, they can come off, and they can be swapped. GAZIRU uses the fine surface patterns already present on the product as its ID, so it works even on small parts and special materials, can't come off, and can't be swapped. The steps of attaching, removing, and engraving all disappear.
Individual traceability
Narrow recalls to the individual unit. Link process data to each item.
Tagless, engraving-free item management
Eliminate the process and cost of tags, labels, and engraving.
Autonomous manufacturing lines
Emerging use caseMatch the physical item at every robot-to-robot handoff.
Genuine product verification & anti-substitution
Determine whether an item is the one you registered, based on identity with the registered individual.
DPP & linking physical items to digital records
Emerging use caseTurn the physical item itself into the product ID.
AI visual inspection (anomaly detection)
Get started with normal images alone, and move to 100% inspection.
Counting & classification
Count and sort in a single shot.
We identify each part by its own surface pattern, and link manufacturing history, inspection results and shipping destination to that individual item. This page introduces traceability built on GAZIRU.z's tagless individual identification — for anyone who wants to narrow a lot-wide recall down to a single item.
Typical challengesToo small to tag
Learn moreInstead of a tag, a label or laser engraving, we use the item's own surface pattern as its ID — so the whole cost of applying, peeling off and engraving disappears. This page introduces GAZIRU.z's tagless identification, which works even on parts too small to tag and materials you can't engrave.
Typical challengesTags ruin the design
Learn moreMatch the physical item at every robot-to-robot handoff
Emerging use caseOn an unmanned line, nobody can confirm that the part handed from one robot to the next is really that individual item. Photographing and matching it at every hand-off catches mix-ups with no one present, and keeps building the history. This page introduces how GAZIRU.z could work on an autonomous line.
Typical challengesOn an unmanned line, you can't confirm that a part handed from robot A to robot B is really the same individual
Learn moreWe judge whether the item in front of you is the same one you registered, by matching its surface pattern. A tag or serial number can be swapped, but the item itself cannot. This page introduces how GAZIRU.z is used as a countermeasure against counterfeiting and substitution.
Typical challengesCounterfeit or substituted versions of our products are circulating in the market
Learn moreA Digital Product Passport (DPP) records and publishes a product's lifecycle information electronically. The product-specific ID it calls for can be the item's own surface pattern rather than a tag or an engraving. This page introduces how GAZIRU.z is used when the physical item itself carries the ID.
Typical challengesWe want to prepare for the DPP but don't know what to link or how
Learn moreThis is AI visual inspection that you can start with just a few dozen images of good items — no need to collect defect images. It helps make up for a shortage of skilled inspectors and missed visual defects, with 100% inspection that doesn't stop the line. This page introduces how GAZIRU.eye works and which industries it fits.
Typical challengesNot enough skilled inspectors who can spot defects
Learn moreCounting loose parts, checking quantities, taking stock — all of it eats time when it is done by hand. Lay the items out flat, take one photo, and both type and count come back together. This page introduces GAZIRU.r's planar object recognition, which works on items that carry no barcode.
Typical challengesCounting loose parts by hand
Learn moreFor Those Considering Image Recognition Implementation
We customize optimal solutions tailored to your industry-specific challenges. Please feel free to contact us starting with a free consultation.