New system uses Artificial Intelligence to spot fake products: Indian research

Indian-origin researchers have developed a new system that uses Artificial Intelligence algorithms and a smartphone app to instantly distinguish between genuine and fake versions of the same product. The system works by deploying a dataset of three million images across various objects and materials such as fabrics, leather, pills, electronics, toys and shoes. "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," said Lakshminarayanan Subramanian, Professor at New York University. The system is scheduled to be presented on August 14 at the annual KDD Conference on Knowledge Discovery and Data Mining in Halifax, Nova Scotia, Canada. The system described in the presentation is commercialised by Entrupy Inc., an New York University start-up founded by Ashlesh Sharma, Vidyuth Srinivasan, and Subramanian.