MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641051079 A) filed by Mepco Schlenk Engineering College on April 22, 2026, for Low-Cost Camera Integrated Surveillance Framework For Forest Fire Detection, Anti-Poaching Intrusion Alert And Autonomous Virtual Fencing.
Inventors include Dr. S. Arivazhagan; Dr. W. Sylvia Lilly Jebarani; M. Varshini; and S. Sangeetha.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: An autonomous, multimodal forest protection system is disclosed, comprising a decentralized network of edge-intelligent vision nodes configured for real-time threat detection and active response. Each node executes lightweight, quantized neural network models to perform ondevice inference, allowing for the simultaneous identification of fire, unauthorized human intrusion and wildlife species without reliance on centralized cloud servers. To ensure high-fidelity accuracy and minimize false positives, the system utilizes a multi-node consensus verification protocol, where neighboring nodes must validate a detected threat through a decentralized communication fabric before a high-level alarm or physical response is triggered. The system provides a comprehensive, three-tiered response mechanism: a fire suppression layer utilizing localized waterdelivery actuators; an intrusion monitoring layer integrating visual AI with seismic groundvibration sensors; and an autonomous virtual fencing module that employs a species-specific, threestage deterrent sequence involving visual strobe lights, predator audio, realistic moving projections and dynamic laser patterns. Upon threat confirmation, the system transmits real-time event metadata and GPS coordinates to a centralized dashboard and mobile application. Designed for modularity and scalability, the architecture ensures continuous, autonomous operation in remote regions, providing a proactive and physical solution to complex forest threats.
Disclaimer: Curated by HT Syndication.
