MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133558 A) filed by Nitte Meenakshi Institute Of Technology, Nitte; Vaibhav S. H; Rishabh Jeppu; Ashish B. Rajkumar; Deepthi Shetty; Dr. Uma R; Dr. Vinay T. R; and Dr. Poornima Panduranga Kundapur, Bangalore, Karnataka, on Dec. 30, 2025, for 'iot-enabled smart forest monitoring system for dual-hazard detection.'

Inventor(s) include Nitte Meenakshi Institute Technology, Nitte; Vaibhav S. H; Rishabh Jeppu; Ashish B. Rajkumar; Deepthi Shetty; Dr. Uma R.; Dr. Vinay T. R; and Dr. Poornima Panduranga Kundapur.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "The invention relates to an integrated IoT-based forest monitoring system capable of simultaneously detecting illegal logging activities and forest fire incidents using a single autonomous sensor node, eliminating the need for separate specialized monitoring systems. The system comprises an ESP32 microcontroller (240 MHz dual-core) with integrated Wi-Fi, tilt sensor for detecting tree angular displacement, sound sensor for detecting cutting tool acoustic signatures, temperature sensor for detecting fire-related heat elevation, relay module controlling actuators, buzzer for audio alerts, water pump for immediate fire suppression, and solar photovoltaic panel with rechargeable battery for autonomous power supply. The ESP32 executes firmware implementing continuous sensor polling and threshold-based detection logic: logging detection requires concurrent breach of both tilt and sound thresholds (achieving approximately 85% accuracy), while fire detection requires temperature threshold breach (achieving approximately 88% accuracy). Upon hazard detection, the system activates local actuators for immediate intervention within less than one second while transmitting detailed alerts to cloud platform with average latency of 99 milliseconds, representing 23% improvement over Arduino-based systems. The solar power subsystem enables continuous 24-hour autonomous operation in remote forest locations without grid connectivity. The present invention provides cost-effective, scalable forest protection consolidating dual-hazard detection in a single node priced at approximately $50-80 USD, representing 60-70% cost reduction compared to deploying separate specialized systems, while delivering superior performance through low-latency communication, automated local response capability, and sustainable off-grid operation, thereby making comprehensive forest protection economically viable for resource-constrained forest management agencies."

Disclaimer: Curated by HT Syndication.