Intellectual Property India Publishes Patent Application for 'A Real-Time Adaptive Face Mask Compliance Detection And Identity Authentication Framework Based On Deep Neural Networks' Filed by Koneru Lakshmaiah Education Foundation

MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122475 A) filed by Koneru Lakshmaiah Education Foundation, Hyderabad, Telangana, on Dec. 5, 2025, for 'a real-time adaptive face mask compliance detection and identity authentication framework based on deep neural networks.'

Inventor(s) include Ahalya Rani Maddineni; and Dr. Savadam Balaji.

The application for the patent was published on Jan. 2, under issue no. 01/2026.

According to the abstract released by the Intellectual Property India: "This invention presents a real-time adaptive framework for face mask compliance detection and identity authentication using deep neural networks. The system integrates face detection, fine-grained mask compliance classification, and masked-face identity verification into a unified architecture. A hybrid feature extraction mechanism, combining periocular features with reconstructed lower-face embeddings, enables accurate identity recognition even under partial facial occlusion. The proposed framework includes an adaptive learning unit that updates model parameters to address variations in mask types, illumination, and user behavior. Optimized for low-power edge devices, the system ensures rapid inference and robust performance in dynamic environments. This invention provides an advanced, secure, and efficient solution for automating access control, surveillance, and public safety monitoring."

Disclaimer: Curated by HT Syndication.