MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049770 A) filed by Dayananda Sagar Academy Of Technology And Management; Dr. Sandhya N; Kavyashree B; Tejas M; and Bharath P N, Bangalore, Karnataka, on April 19, for 'an intelligent multimodal computational framework for vision-based fruit freshness detection and categorization.'
Inventor(s) include Dayananda Sagar Academy Technology And Management; Dr. Sandhya N; Kavyashree B; Tejas M; and Bharath P N.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "An Intelligent Multimodal Computational Framework for Vision-Based Fruit Freshness Detection and Categorization The invention relates to an intelligent vision-based system for detecting and categorizing fruit freshness using a multimodal computational framework integrating deep learning models for automated, non-destructive quality assessment. The system comprises: an image acquisition module (101), an image preprocessing module (102), an object detection sub-module (103), a metadata extraction sub-module (104), a multimodal feature extraction engine (105) with independent color, texture, shape, and surface defect analysis sub-networks, a feature fusion module (106), a freshness score computation unit (107), and a freshness classification output module (108). The present invention ensures accurate, non-destructive, scalable, and real-time fruit freshness assessment by classifying fruits into Fresh, Semi-Fresh, and Spoiled categories using standard RGB cameras without expensive sensors, making it directly suitable for agricultural markets, cold storage units, food processing industries, and retail chains seeking automated quality control."
Disclaimer: Curated by HT Syndication.
