Recently, researchers at New York University have used artificial intelligence technology to develop a new machine learning system "Entrupy", a non-destructive identification system with a database of 300 million microscopic images, including cloth, leather, electronics, Material information such as toys and shoes, the system can identify the authenticity of the goods by observing microscopic features that are unrecognizable to the human eye.
There are many ways to identify the authenticity of traditional goods, but these methods are often destructive and ultimately damage the goods. But the researchers said the system can be used for non-destructive identification, requiring only one scanner and a complete image data set. At present, the system has an accuracy of 98.5%, and it has machine learning function, which can continuously improve the accuracy during use.
Entrupy commercialized the technology, and the company's co-founder and CEO, Sliwanisan, said: "Because of the burgeoning phenomenon in the market, we use this "Entrupy" system as a scalable universal platform to pursue market transactions. fair."
However, it seems that this identification system is not sold to ordinary individual users, but is designed for product retailers and wholesalers to confirm the authenticity of their own goods and provide real proof to customers.
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