Product Piracy Prevention: Product Counterfeit Detection Without Security Labels

Counterfeiting is a challenge to companies, cus-tomers and markets all over the world. Besides the economic damage which affects in particular the companies and countries that use advanced pro-duction and manufacturing processes based on in-tensive research and development to produce high quality goods, safety standards are omitted. These standards protect usually the customer from goods which are dangerous or harzardous to health. Product piracy prevention is often followed by the application of RFID tags to supervise supply chains. The lack of robust counterfeit detection methods created a market for artificial security la-bels which are used to secure the product itself. The specific conditions of production, manufac-turing technologies and materials generate specific features, which identify every product uniquely. The innovation of this text is the detection of these features in an automated fashion through the com-bination of digital sensing and machine learning, rendering the application of artificial security la-bels obsolete