MUMBAI, India, Aug. 31 -- Intellectual Property India has published a patent application (202541015855 A) filed by Hindusthan Institute Of on February 24, 2025, for Facenet Surveillance System.
Inventors include Dr. C. Natarajan; K. Suganya; R. Banu Priya Application Number; V. Umashankari; Deepak Vignesh. S; Mathanraj. M Number; Santheesh. S. K; and Vigneshwaran. S.
The application for the patent was published on August 28, 2026, under issue no. 35/2026.
Abstract: The Facenet Surveillance System is an advanced AI-powered security solution designed to enhance real-time surveillance through facial recognition technology. This innovative system leverages Haar Cascades, YOLO, and OpenCV to detect and recogni.ze faces from live CCTV footage, instantly comparing them with stored data in MongoDB. The system's key objective is to provide efficient, automated monitoring while minimizing manual surveillance efforts. Upon identifying a match, it promptly sends email alerts to administrators, ensuring swift response to potential threats. The web-based interface allows users to monitor live video feeds, view detected faces, and access thief details with their geographical locations. The integration of real-time video processing ensures that security personnel can track suspects across different cameras, making the systein highly effective in both public and private security applications. The system's architecture is designed for scalability and adaptability, allowing it to be implemented .in banks, retail stores, corporate offices, and public spaces for enhanced security. In addition to core functionalities, the Facenet Surveillance System is built with privacy and data management measures to ensure secure storage and retrieval of facial data. The incorporation "of multi-camera support, geographic tracking, and alert mechanisms significantly improves crime ยท prevention and enhances security operations. The system's structured implementation includes real-time face tracking, database integration, and alert mechanisms, ensuring accuracy, reliability, and efficiency._ With its robust feature set, the system sets a new standard tor AIdriven surveillance solutions, reducing security risks and improving public safety.
Disclaimer: Curated by HT Syndication.
