MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641024618 A) filed by Nri Institute Of Technology; Ms. N. D. Varshitha; Ms. B. Kalyani; Mr. A. Hari Naga Sai Charan; Mr. P. Siva Sai; and Mr. Dr. D. Nagabhushana Babu, Eluru, Andhra Pradesh, on March 2, for 'hierarchical deep learning framework for multiclass fruit and vegetable recognition with nutritional profiling.'
Inventor(s) include Ms. N. D. Varshitha; Ms. B. Kalyani; Mr. A. Hari Naga Sai Charan; Mr. P. Siva Sai; and Mr. Dr. D. Nagabhushana Babu.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "Hierarchical Deep Learning Framework for Multiclass Fruit and Vegetable Recognition with Nutritional Profiling The invention describes a hierarchical deep learning approach for multiclass fruit and vegetable recognition with nutritional analysis, developed as a web-based intelligent system. The system allows users to upload pictures of fruits or vegetables via a website interface, where the uploaded picture is first categorized into a general group of fruits or vegetables and then recognized at a more specific level using hierarchical deep learning methods. After successful recognition, the system provides detailed information such as nutritional values, health benefits, seasonal availability, and common production areas or states. The system also suggests healthy mixtures of fruits and vegetables based on nutritional compatibility and health considerations. Furthermore, a built-in database enables users to compare multiple fruits or vegetables at one time on a single platform. With the integration of accurate picture recognition with nutritional intelligence, seasonal information, and comparison analysis on a single web-based platform, the invention remedies the shortcomings of current solutions and encourages healthier, informed, and sustainable food habits."
Disclaimer: Curated by HT Syndication.
