MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641115368 A) filed by Sri Eshwar College Of Engineering on September 24, 2026, for Eletrack: Ai-Based Elephant Intrusion Detection And Rf-Enabled Alert System For Human-Wildlife Conflict Prevention.
Inventors include Dr. M. Suriya; Deepan G; Anumitha V; and Ganesh Prabu Bo.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: Human–elephant conflict is a significant challenge in forest-border and rural regions, posing serious risks to human lives, property, and wildlife conservation. EleTrack is an intelligent real-time elephant intrusion detection and alert system designed to provide early warnings and help reduce human–wildlife conflicts. The proposed system uses a camera integrated with an embedded computing platform to continuously monitor areas vulnerable to elephant intrusion. A deep learning-based object detection model, YOLO (You Only Look Once), processes the captured video stream and identifies elephants in real time. Upon detecting an elephant, the system immediately activates a buzzer-based local alert and transmits warning notifications through RF-enabled wireless communication. To ensure reliable communication, the transmitted RF signals are monitored and validated using a spectrum analyzer, enabling the assessment of signal performance and transmission reliability. This integration of AI-based detection, embedded systems, wireless communication, and RF signal validation provides a comprehensive early-warning mechanism. EleTrack is designed to be scalable, cost-effective, and suitable for deployment in remote forest-border environments. By enabling timely detection and rapid alert generation, the system enhances wildlife monitoring and community safety while contributing to the prevention and mitigation of human–elephant conflicts.
Disclaimer: Curated by HT Syndication.
