According to a latest research led by a group of researchers from New York University, a all new system which uses Artificial Intelligence algorithms and a smartphone app can instantly identify the genuine and fake versions of similar products.
The system which is all set to be launched on Monday, August 14, uses a dataset of three million images across various objects and materials such as fabrics, leather, pills, electronics, toys and shoes.
Talking about their latest findings Lakshminarayanan Subramanian, Professor at New York University has said, "The classification accuracy is more than 98 per cent, and we show how our system works with a cellphone to verify the authenticity of everyday objects."
The group of researchers will present the system on Monday at the annual KDD Conference on Knowledge Discovery and Data Mining in Halifax, Nova Scotia, Canada.
Moreover, Entrupy Inc, the New York University start-up founded by Ashlesh Sharma, Vidyuth Srinivasan, and Subramanian has commercialised the system.
The system is very easy to use as people just need to place the device directly on the item, open the Entrupy app on smartphone or tablet (iOS), and follow the onscreen directions in the app to take images.
"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," Subramanian added further.
While the counterfeit-detection methods have a high risk to damage the products during examination, Entrupy method is easy to use and ensure the safety of the products.