MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611052069 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on April 23, for 'ai-based real-time hybrid surveillance system for threat detection and privacy compliance and working method thereof.'
Inventor(s) include Anjali Singh Gond; Dr. Anupama Sharma; Dr. Ruchi Gupta; and Ms. Shikha Agarwal.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-based real-time hybrid surveillance system (100) for threat detection and privacy compliance. The system comprises a video acquisition module (102) configured to capture continuous video streams, a preprocessing and enhancement module (104) for adaptive image optimization, and a hybrid detection engine (106) integrating deep learning and classical computer vision techniques for accurate object and threat detection. A decision validation layer (108) ensures reliability through multi-level verification, while a contextual intelligence engine (110) analyzes temporal and spatial patterns to detect anomalies. A privacy compliance module (112) enforces real-time anonymization and encryption, ensuring secure data handling. An alert and response module (114) generates real-time notifications, and a data storage unit (116) securely stores processed data. A continuous learning feedback module (118) enables adaptive model improvement. The system operates in a distributed edge-cloud architecture for low latency, high accuracy, and scalable surveillance."
Disclaimer: Curated by HT Syndication.
