Machine learning can tell if you’re wearing swap-meet Louie

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A wise man once said The hat mighta had a L V on the back but at the swap meet that aint jack, and now researchers can ensure that the Louis Vuitton or Prada or Coach you bought is the real bargain. The system, which essentially learns the difference between real and fake products over day, use a small microscope connected to a phone.

The underlying principle of our system stems from the idea that microscopic characteristics in a genuine product or a class of products-corresponding to the same larger product line-exhibit inherent similarities that can be used to distinguish these products from their corresponding counterfeit versions, said New York University Professor Lakshminarayanan Subramanian.

The researchers have commercialized the product as Entrupy Inc ., a startup founded by Ashlesh Sharma, an NYU doctoral alumnu, Vidyuth Srinivasan and Professor Subramanian. You can even buy the product now and operate a few dozen authentications per month.

The system is non-invasive and does not damage the merchandise. Because it employs a dataset of three million images you can assess a material virtually instantaneously. It takes about 15 seconds to test a product and it can distinguish textiles, leather, pills, shoes and toys. It can even tell if electronics are authentic.

The classification accuracy is more than 98 percentage, and we show how our system works with a cellphone to verify the authenticity of everyday objects, said Subramanian.

Entrupy has raised $2.6 million in funding and has apparently authenticated $14 million in real and fake purses, watches and other fancy stuff. I can definitely help out if you get angry and feel the need to begin sockin more fools than Patrick Swayze because they are selling bootleg purses.

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