Tech, ExplainedE-commerce, travel and logistics
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AI microscope authentication

Real leather or fake, judged under the lens.

INSIDE: PRODUCT AUTHENTICATIONHOW IT WORKS · A ₹1,80,000 HANDBAG AT A RESALE SHOP IN DELHIA customerbrings a handbagthat the shopplans to sellfor ₹1,80,000An employeeclips themicroscopeto a phoneShe photographssix spots:leather,stitching, logo,zip and labelThe modelcompares themwith photosof real andfake bags ofthat brandA few minuteslater, itreturns"authentic"The shop issuesa certificatewith the bag'sID and lists itINSIDE: PRODUCT AUTHENTICATIONHOW IT WORKS · A ₹1,80,000 HANDBAG AT A RESALESHOP IN DELHIA customer bringsa handbag thatthe shop plans tosell for ₹1,80,000An employee clips themicroscope to a phoneShe photographssix spots: leather,stitching, logo,zip and labelThe model compares themwith photos of real andfake bags of that brandA few minutes later, itreturns "authentic"The shop issues acertificate with thebag's ID and lists itINSIDE: PRODUCT AUTHENTICATION · A ₹1,80,000HANDBAG AT A RESALE SHOP IN DELHIA customer brings a handbag that the shopplans to sell for ₹1,80,000↓An employee clips themicroscope to a phone↓She photographs six spots: leather,stitching, logo, zip and label↓The model compares them with photos ofreal and fake bags of that brand↓A few minutes later,it returns "authentic"↓The shop issues a certificate with thebag's ID and lists it
A Delhi resale shop photographs six spots of a ₹1,80,000 handbag through a phone microscope, a trained model returns its verdict in minutes, and the shop issues a certificate.
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AI microscope authentication checks whether a luxury handbag, a pair of sneakers or another branded item is genuine, using a small microscope attached to a phone and a model trained on images of real and fake items. The microscope photographs the surface of the leather, the stitching or the logo, magnified many times. The model compares those photos with what it has learned, and gives a verdict.

A good counterfeit can look exactly like the real item to the eye, and even to an experienced reseller. Under a microscope, it usually does not. Real leather from one brand has a particular grain. Its printed logo has sharp edges, and its stitches are a regular size and angle. A fake may get the shape right but not the surface. The differences are tiny, but they are consistent.

The model learns these differences from examples. Its makers collect many thousands of microscope photos of items that experts have already confirmed as real or fake, brand by brand. The model is trained on these labelled photos, until it can tell the two apart on photos it has never seen. This is an application of computer vision, software that recognises patterns in images.

Here is a typical case. A shop in Delhi that resells luxury handbags receives a bag from a customer who wants to sell it. The shop plans to sell it for ₹1,80,000. An employee clips the microscope to a phone and, following the app's instructions, photographs six spots: two patches of leather, the stitching on a handle, the logo, the zip and the inside label. The app sends the photos to the company's model. A few minutes later, it returns "authentic". The shop issues a certificate with the bag's ID number, and lists the bag for sale.

If the model is not confident, it does not guess. The photos go to a human expert at the authentication company, who decides. This way of working, in which a model gives most answers and a person decides the hard ones, is called human in the loop.

The buyers of this service are resale shops and recommerce marketplaces. A marketplace that authenticates sneakers, such as a bid-ask resale marketplace, may use it alongside its own staff. The microscope is one of three ways of proving an item is genuine. The other two are covered in product authentication: marks built into packaging, and codes on each pack. The microscope suits goods that have no code at all, such as a handbag made years ago.

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