MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202631052464 A) filed by Ipfc-Giet University Cell on April 24, 2026, for Neural Network Mobile System For Real-Time Fish Identification, Health Assessment, And Volume Estimation.
Inventors include Eesha Upasya Mishra; Sibangi Padhi; Kalyan Kumar Dash; Snehalata Pattnaik; Subhankar Rath; Rudra Madhab Mishra; Dr. Sibo Prasad Patro; and Gvs Narayana.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: ABSTRACT NEURAL NETWORK MOBILE SYSTEM FOR REAL-TIME FISH IDENTIFICATION, HEALTH ASSESSMENT, AND VOLUME ESTIMATION 5 10 The present invention discloses a neural network-based mobile system (100) for real-time fish species identification, health assessment, and volume estimation. The system comprises a user interface and input module (110), an AI processing pipeline (120), a measurement and estimation module (130), and a results and storage module (140). The system utilizes deep learning models to analyze captured images and generate outputs including species identification, health status, and volumetric estimation. The invention provides a portable, real-time, and integrated solution for fisheries management with both offline and online capabilities. [
Disclaimer: Curated by HT Syndication.
