MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541124185 A) filed by Sri Krishna College Of Engineering And Technology, Coimbatore, Tamil Nadu, on Dec. 9, 2025, for 'adaptive computer vision-based ultrasonic dog repellent system.'
Inventor(s) include Dhamodaran G; and Dr. Naveenbalaji Gowthaman.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The invention relates to an Adaptive Computer Vision-Based Ultrasonic Dog Repellent System designed to autonomously detect and repel stray dogs in public and private environments. The system integrates a CCTV or IP camera with a deep-learning computer vision model to identify dogs in real time. Upon detection, a machine learning-based frequency prediction module analyzes visual characteristics such as size, posture, and movement to determine the most effective ultrasonic frequency within the 20-40 kHz range. A microcontroller-controlled ultrasonic driver activates a 360-degree waterproof ultrasonic transducer array to emit the predicted frequency, ensuring comprehensive deterrent coverage. The Smart AI Box houses all processing units, sensors, and power circuitry, enabling robust outdoor operation. Optional PIR, rain, and temperature sensors optimize energy usage and safety. The system provides a humane, adaptive, and scalable deterrent solution that overcomes the limitations of fixed-frequency repellents and effectively prevents stray dog intrusion."
Disclaimer: Curated by HT Syndication.
