MUMBAI, India, Sept. 12 -- Intellectual Property India has published a patent application (202411013423 A) filed by Bennett University, Greater Noida, Uttar Pradesh, on Feb. 24, 2024, for 'ai-based system for detecting counterfeit items in online auctions.'
Inventor(s) include Prof. Sanjeev Ratna Singh; and Prof. Tapas Badal.
The application for the patent was published on Sept. 12, under issue no. 37/2025.
According to the abstract released by the Intellectual Property India: "The present invention introduces an artificial intelligence-based system for detecting counterfeit items in online auctions, providing a robust solution to combat fraudulent practices. The system comprises a user data reception port that efficiently collects item-related information from users, forming a comprehensive data repository. An item verifier module utilizes advanced artificial intelligence algorithms to analyze and verify the authenticity of the item data, ensuring accurate and reliable authentication. A counterfeit detector engine compares the item data against a known counterfeit database, identifying potential matches and raising red flags for suspicious items. The decision communication console communicates the authentication result to the users, offering transparent and timely feedback. Moreover, an auction security integrator applies the system's decisions to restrict or allow the auctioning of items based on their determined authenticity, enhancing the overall security and trustworthiness of the online auction platform. This innovative system significantly improves counterfeit detection capabilities, protecting users from fraudulent activities and promoting a safe and trustworthy online auction environment."
Disclaimer: Curated by HT Syndication.
