MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641022746 A) filed by Nandha Engineering College, Erode, Tamil Nadu, on Feb. 26, for 'visual monitoring system with automated dog repellent using edge ai.'
Inventor(s) include M. Srinevasan; S. Ritthika; S. Pattu; and B. S. Sowbarrn.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an intelligent, automated animal intrusion prevention and farm protection system designed to detect, track, and safely deter dogs from entering protected agricultural environments using real-time artificial intelligence-based vision processing and directional ultrasonic emission technology. The system comprises a camera-based monitoring module integrated with an embedded edge-computing platform that continuously captures environmental video data and executes a deep-learning object detection model to identify dogs in real time without requiring cloud connectivity. Upon detection of an animal, the processing unit determines the spatial position and directional coordinates ofthe detected object within the camera frame and converts these coordinates into precise angular positioning commands. These commands are transmitted to a motor control subsystem consisting of a microcontroller-driven stepper motor mechanism that rotates a directional repellent assembly toward the detected animaL The repellent assembly includes an array of high-efficiency ultrasonic transducers mounted on a rotating head capable of directional targeting, thereby improving deterrence effectiveness while minimizing unnecessary energy consumption and acoustic dispersion. The ultrasonic emission subsystem generates a programmable frequency-sweeping waveform within the ultrasonic band of approximately 22kHz to 30kHz, a range selected to align with the sensitive hearing capabilities of dogs while remaining largely inaudible to humans. The generated waveform is amplified through a power driver stage capable of producing elevated peak-to-peak voltage signals to drive multiple ultrasonic emitters simultaneously, producing a focused acoustic deterrent field effective over a range of approximately 20 to 30 meters in a directional sector. The entire system is designed for outdoor autonomous deployment and operates using a hybrid solar and rechargeable battery power architecture, ensuring uninterrupted operation in remote agricultural locations without dependence on grid power. Each unit functions as an independent protection node capable of covering a defined directional area, and multiple nodes may be deployed across large farms or agricultural boundaries to create a scalable and distributed intelligent protection network. The system operates in an event-driven manner, activating the ultrasonic deterrent only when an animal is detected, thereby reducing average energy consumption and extending operational lifespan. By integrating edge-based artificial intelligence detection, automated electromechanical directional targeting, energy-efficient ultrasonic deterrence, and renewable-power operation within a modular and scalable architecture, the invention provides a non-lethal, environmentally safe, cost-effective, and technologically advanced solution for preventing animal intrusion in agricultural lands, storage facilities, rural infrastructure, and other protected outdoor environments."
Disclaimer: Curated by HT Syndication.
