MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115789 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on Nov. 23, 2025, for 'face recognition-based automated attendance system for real-time identification and record management and working method thereof.'
Inventor(s) include Anmol Painuli; Aman Saini; Khushi Bamola; Kanishka; Dr. Saroj Bala; and Pooja Pandey.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a face recognition-based automated attendance system for real-time identification and record management. The system comprises an image acquisition module, an artificial intelligence-based processing unit employing convolutional neural networks for facial detection and feature extraction, and a biometric subsystem integrating RFID verification for dual-factor authentication. A secure database infrastructure with cloud-edge synchronization stores encrypted templates and attendance logs, while a communication module ensures real-time data transmission through IoT protocols. The system operates to automatically record attendance, prevent spoofing or proxy attempts, and provide instantaneous analytics through user interfaces. The invention further includes a working method enabling synchronous face-RFID verification and encrypted data synchronization across distributed nodes, thereby achieving high accuracy, security, and scalability in institutional and industrial attendance management applications."
Disclaimer: Curated by HT Syndication.
