MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049144 A) filed by Sona College Of Technology, Salem, Tamil Nadu, on April 17, for 'an ai-based street dog detection system.'
Inventor(s) include Ilakkia T; Prasanna Jairam S; Gowri Shanmugham S; Abishek C; Dinesh V; and Kanihashini S M.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an AI-based street dog detection system designed for real-time identification of dogs in visual scenes captured from standard imaging hardware. The system comprises an imaging unit for video capture, an image preprocessing unit for frame normalization, an AI detection module trained to extract dog-specific visual features, a decision and classification module for presence determination, and an output interface for alerts and visualization. The AI detection module analyzes learned feature patterns, including shape, posture, texture, and movement, enabling accurate detection independent of motion-only rules. The decision module computes confidence scores, while the output unit generates visual indicators, notifications, or stored records. Continuous frame analysis ensures instant detection and real-time monitoring. The system minimizes false positives, requires minimal human intervention, and functions reliably under varying environmental conditions. This invention offers an intelligent, automated, and practical solution for street dog monitoring and public safety applications."
Disclaimer: Curated by HT Syndication.
