Differentiating between an authentic and counterfeit product might be a game of luck. However a New York Start up Entrupy has come up with a technology that can spot counterfeits without the guesswork.
Entrupy’s solution is a handheld microscope camera that lets anyone with a smartphone check a luxury accessory within minutes. Since launching the service a year ago, the company says its accuracy has improved to better than 98 percent for 11 brands including Louis Vuitton, Chanel and Gucci.
Fashion Labels have employed holographic tags, microprinting and even radio beacons woven into fabric for years to help establish the authenticity of their products. Apparel makers will spend $6.15 billion on anti-counterfeit technologies in 2017, according to London-based researcher Visiongain, but the anonymity of internet shopping and the growing popularity of second-hand dealers is making the war against fakes harder.
“Even 10 years ago, a woman going to buy a second-hand bag would know very well that Chanel, Gucci and Prada don’t sell on the street corner,” said Susan Scafidi, director of the Fashion Law Institute at Fordham University in New York. “But now, with so much legitimate and illegitimate commerce occurring online, it is very difficult for consumers to tell the difference.”
The issue was brought to fore last year when the International AntiCounterfeiting Coalition suspended the membership of China’s biggest online retailer, Alibaba Group Holding Ltd, amid criticism that it and other e-commerce marketplaces weren’t doing enough to cull fakes. Alibaba founder Jack Ma didn’t help matters when he said that Chinese-made knockoffs today can offer better quality than the genuine articles.
Entrupy reveals its camera magnifies objects 260 times, so features invisible to the human eye become telltale signs: misshapen stamp marks, tiny gaps in leather grain, and paint overruns.
The device, which looks like a bulky flashlight with a wireless connection, can be leased for an initial fee of $299. Monthly plans start from $99. So far, about 160 businesses including pawn shops, wholesalers and online retailers have signed up.
“Today everything is done by humans,” Entrupy co-founder Vidyuth Srinivasan said by telephone. “For businesses that are growing, that’s not a scalable solution.”
Srinivasan and two New York University researchers, Ashlesh Sharma and Lakshminarayanan Subramanian, started Entrupy in 2012, a year that was a turning point for computer vision.
A breakthrough in algorithms at a science competition called ImageNet vastly improved the ability of machines to identify everyday objects in photographs by using massive data sets to find patterns. It was a watershed moment for deep learning technologies that also underpin self-driving cars and better speech recognition software.
With some help from Yann LeCun, Facebook Inc.’s director of artificial intelligence research and an angel investor in Entrupy, Srinivasan and his partners started with a hunch that computers could be trained to look at pictures of luxury goods and extract a kind of genome, an essence of, say, a Fendi or an Hermes handbag.
Entrupy’s database has grown and now has tens of millions of photographs from about 30,000 different handbags and wallets. The software learns as clients upload new pictures.
Srinivasan says the company has no relationships with any of the fashion brands whose products they authenticate. LVMH Moët Hennessy Louis Vuitton Se and other makers of luxury goods prefer not to acknowledge that there is a second-hand market for their merchandise.
Entrupy raised $2.6 million in July from investors led by a venture between Tokyo-based Digital Garage Inc. and Daiwa Securities Group Inc. The money will be used to design a faster and more portable camera and add more brands to Entrupy’s list, according to Srinivasan, who said the company is also looking at other uses for its software.
“The technology works pretty well on everything except for diamonds and porcelain, because those are refractive and we use optical analysis,” Srinivasan said. “We’ve already tested it on auto parts, phones, chargers, headphones, jackets, shoes, even crude oil.”
