MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641084666 A) filed by Anurag University; Dr. N Suresh Rao; Dr. P Ravinder Rao; Mr. Gudepu Sai Krishna; Mrs. N. Navaneetha; Mrs. Y. Aswini; Mrs. Pulyala Radhika; and Dr. B. Srinivasulu on July 10, 2026, for Smart Multi-Stage Facial Identity Verification System For Automated Attendance Management.
Inventors include Dr. N Suresh Rao; Dr. P Ravinder Rao; Mr. Gudepu Sai Krishna; Mrs. N. Navaneetha; Mrs. Y. Aswini; Mrs. Pulyala Radhika; and Dr. B. Srinivasulu.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: This invention proposes a Smart Multi-Stage Facial Identity Verification System for Automated Attendance Management which is a highly secure, very accurate, and contactless solution for recording attendance in schools, workplaces, and other organizational environments. The system here is a multi-stage verification system submitting each verification step in this order: face image capture, face image quality evaluation, face area detection, feature extraction, adaptive identity verification, and attendance authentication. The layered verification system Much reduced the number of false recognitions, duplicate attendance entries, and proxy attendance while also ensuring dependable performance in situations with very different environments like light changes, face occlusions, and facing in different directions. This system connects smart and efficient preprocessing methods with different facial feature analysis techniques to improve recognition accuracy, to reduce the time needed for calculations, and to allow the system to function on normal devices without the need for the most advanced hardware. A decision-based verification mechanism, one at a time, confirms the identity of the user and then securely records the attendance and the timestamp and the authentication status in a central database. The architectural design of the system And makes provision for live tracking via a web-based interface where authorized administrators can access attendance records, produce reports, and handle user information in an efficient manner. The invention has features that can be set up per the needs of the security and privacy of the users. It can be effortlessly integrated with cloud platforms, edge devices, and institutional management systems, So making the solution expandable from a single classroom to a campus and enterprise-wide deployments. This system, by merging smart multi-stage verification, adaptive facial analytics, and secure attendance processing into one structure, offers a tool that is efficient, scalable, and thoroughly respects privacy for automated attendance management in various real-world settings.
Disclaimer: Curated by HT Syndication.
