Entrupy Scanner Detects Counterfeit Goods
Aug-20-17
The Entrupy scanner uses machine learning to tell real products from their counterfeit versions.Developed by a team from New York University, the Entrupy system is equipped with a library of three million microscopic images, which include qualities unique to the item but undetectable to the naked eye. By comparing the details in the image to the makeup of the object in question, the system can detect a counterfeit version with up to a 98 percent accuracy.
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Maybe one of the most effective ways to combat the fake markets is to mass serialise the original goods and empower the customers to check the originality and other product’s characteristics. Serialization is maybe the most powerful and cost effective anti-counterfeit solution, for example the solution offered by MY-VALIDACTOR is immediately available, easy to implement and at a cost near to zero.
Posted by dino nick on August 20, 2017
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Maybe one of the most effective ways to combat the fake markets is to mass serialise the original goods and empower the customers to check the originality and other product’s characteristics. Serialization is maybe the most powerful and cost effective anti-counterfeit solution, for example the solution offered by MY-VALIDACTOR is immediately available, easy to implement and at a cost near to zero.
Posted by dino nick on August 20, 2017
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