Fake products are a massive worldwide problem that affects nearly everyone in their day-to-day life. It’s very tough task to differentiate genuine & fake versions of same products. As per some reports, counterfeit trafficking represents 7% of the international trade today.
Thus, to sort this issue, the Indian-origin researchers at New York University (NYU) have developed a new mechanism to differentiate genuine & fake products.
The new mechanism or product, which is developed by New York University (NYU) start-up founded by Ashlesh Sharma, Vidyuth Srinivasan, and Laxmi Narayan Subramanian, is commercialized as Entrupy Inc & will be presented on 14th August 2017 at the annual KDD Conference on Knowledge Discovery and Data Mining in Halifax, Nova Scotia, Canada.
Entrupy Inc. – Artificial Intelligence mechanism
The new mechanism Entrupy uses Artificial Intelligence (AI) algorithms & a smartphone to instantly differentiate between genuine and counterfeit versions of the same product. It does so by deploying a dataset of three million images across various objects and materials such as fabrics, leather, pills, electronics, toys and shoes.
Thus, the Entrupy method provides a non-intrusive solution to easily distinguish authentic versions of the product created by the original manufacturer and fake versions of the product made by counterfeiters.
Lakshminarayanan Subramanian, professor at NYU, said that the classification accuracy is more than 98%, and we show how our system works with a cellphone to verify the authenticity of everyday objects.
How does Entrupy identify fake products?
To detect fake & genuine products –
- One has to place the device directly on the item.
- Now, open the Entrupy app on smartphone or tablet (iOS) and follow the onscreen prompts in the app to take images.
- The Artificial Intelligence algorithms then analyse the images to determine authenticity and provide results in real-time.