MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202631017966 A) filed by C. V. Raman Global University, Bhubaneswar, Orissa, on Feb. 18, for 'a classroom-based attendance system using facial recognition and bluetooth low energy proximity verification.'

Inventor(s) include Sarthak Kumar; Bisworanjan Nayak; Riya Kar; Rishav Rana; Hursh Vikrant; and Dr. Debendra Muduli.

The application for the patent was published on Feb. 27, under issue no. 09/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to a classroom-based attendance system using facial recognition technology combined with Bluetooth Low Energy (BLE) proximity verification. The system addresses the critical problems of proxy attendance, manual errors, and unreliable location-based verification methods prevalent in conventional attendance systems. The invention comprises camera-enabled student devices, BLE beacons installed within classrooms, an embedded controller for beacon transmission, facial recognition algorithms, mobile/desktop application interfaces, optional GPS geofencing modules, and a backend analytics system. The core innovation lies in the teacher-controlled time-bound attendance initiation mechanism that enforces strict classroom-level physical presence verification. Unlike existing systems that rely on single-factor verification, this multi-factor approach combines facial recognition, BLE proximity detection, and optional geofencing to prevent unauthorized attendance marking. The attendance window is initiated by the teacher for a predefined duration, during which students must pass facial recognition verification and be detected within the short-range proximity of the classroom BLE beacon. Optional campus-level geofencing provides an additional verification layer for enhanced security. The system maintains a provision for teacher manual override with comprehensive audit logging for exceptional cases. All verified attendance records are processed by an analytics module to generate detailed attendance summaries and reports. The invention significantly improves reliability over existing solutions and ensures robust prevention of proxy attendance in educational institutions."

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