MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641080572 A) filed by Narsimha Reddy Engineering College Nrcm on June 30, 2026, for Federated Deep Learning-Based Early Wildfire Detection System For Remote Forest Monitoring.
Inventors include Srilakshmi Cherukuri; Pallela Dileep Kumar Reddy; Gaddam Anantham; Bandi Raju; R. Jeevitha; and B. Chaitanya.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: A federated deep learning-based early wildfire detection system for remote forest monitoring is disclosed. The system comprises distributed edge wildfire detection nodes (110) equipped with RGB imaging module (112), thermal imaging module (114), and environmental sensor array (116). An edge processing unit (118) executes a deep learning model, while a sensor fusion engine (120) enhances detection reliability. Local model updates are encrypted via module (124) and transmitted to a federated aggregation server (130) including secure aggregation engine (132) and consensus validation module (134). An energy management controller (136) adapts inference frequency based on environmental risk index. The global model is redistributed through interface (138). The invention enables low-latency, energy-efficient, and secure early wildfire detection in remote forest regions.
Disclaimer: Curated by HT Syndication.
