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Consumers on the hunt for high-end clothing at a cheap price often seek out well-preserved second-hand pieces online but hunting for legitimate goods in the global $460 billion counterfeit industry according to OECD data is no easy task. Paula Bronstein / Getty Images A shop selling counterfeit Chinese made luxury brand ladies bags at an outdoor market in the Golden Triangle, situated along the Thai- Burma border in Tachiliek, Myanmar. Chinese copies boasting well known brands flood this market allowing Thai shoppers and tourists to travel over the border to buy everything from fake iPhones, designer purses, watches and sunglasses. Given the ubiquity of fakes among re-sellers, buyers often examine pre-owned fashion to deduce authenticity, often analyzing the stitching, font size and interior labels. But sometimes, a copy is just so well-made that the human eye can't tell it from the original. That's where technology can help. Entrupy is a portable scanning device that instantly detects imitation designer bags by taking microscopic pictures that take into account details of the material, processing, workmanship, serial number, and wear/tear. It then employs the technique of deep learning to compare the images against a vast database that includes top luxury brands and if the bag is deemed authentic, users breaking news immediately get a Certificate of Authenticity. After launching as a paid service in September 2016, the New York-based venture now has over 130 paid customers, almost all of whom are American businesses drawn to the 97.1 percent accuracy rate, explained Entrupy CEO Vidyuth Srinivasan.
For the original version including any supplementary images or video, visit http://www.cnbc.com/2017/05/04/deep-learning-tech-identifies-counterfeit-goods.html