MUMBAI, India, July 11 -- Intellectual Property India has published a patent application (202541060872 A) filed by Akshaya College Of Engineering And Technology, Coimbatore, Tamil Nadu, on June 25, for 'smart fish: ai-driven fish resource identification system.'
Inventor(s) include Mrs. K. Gomathi; Mr. B. Manikanta Reddy; Mr. P. Sai Nithin; and Mr. S. Guna Sri Teja.
The application for the patent was published on July 11, under issue no. 28/2025.
According to the abstract released by the Intellectual Property India: "The proposed invention is an AI-driven aquatic resource identification system that combines sonar-based sensing with embedded deep learning for real-time underwater monitoring. It utilizes a JSN-SR04T sonar sensor to emit acoustic pulses and capture reflections from underwater objects, which are then processed by a signal processing module to extract meaningful features. A custom-trained Convolutional Neural Network (CNN), deployed on an ESP32 microcontroller, classifies these features locally without requiring cloud connectivity. The system provides low-latency, wireless data transmission to a remote dashboard, enabling real-time insights into aquatic life forms. Its compact, modular design supports integration with other environmental sensors and deployment on platforms like buoys, AUVs, or boats. Designed for low power consumption and minimal ecological impact, this invention offers a scalable and cost-effective solution for fisheries management, biodiversity conservation, and marine ecosystem research. It significantly reduces human intervention, increases monitoring accuracy, and democratizes access to marine observation technologies."
Disclaimer: Curated by HT Syndication.
