MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641112099 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering And Technology on September 18, 2026, for A Vision Transformer-Based Intelligent Facial Anti-Spoofing System For Enhanced Biometric Security.
Inventor includes Mrs. J. Pushpakumari.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: ABSTRACT [0027] Traditional face recognition systems remain vulnerable to spoofing attacks that employ printed images, video replays, or three-dimensional masks, thereby compromising security in high-stakes environments. This project develops a smart face authentication system that leverages Vision Transformers pretrained with the DINO self-supervised framework to extract robust facial representations without extensive labeled data. Attention mechanisms within the transformer architecture enable the model to focus on fine-grained facial details that differentiate live faces from forgeries. The complete pipeline incorporates preprocessing for input standardization, feature extraction, and real-time inference, rendering the system suitable for practical deployment in banking, surveillance, and secure access control applications.
Disclaimer: Curated by HT Syndication.
