Intellectual Property India Publishes Patent Application for 'Deep Learning-Based Real-Time Facial Recognition System For Secure Access' Filed by Walchand Institute Of Technology

MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541085060 A) filed by Walchand Institute Of Technology, Solapur, Maharashtra, on Sept. 8, 2025, for 'deep learning-based real-time facial recognition system for secure access.'

Inventor(s) include Dr. Mrs. Anita Mukund Pujar; Dr. Mrs. Sunita Milind Dol; Mr. Babruvan Ramrao Solunke; Mrs. Komal Rahul Pardeshi; Mr. Farooque Rashid Sayyed; Miss. Pushpa D. Jadhav; Mrs. Priyanka M. Channapattan; and Mr. Dhananjay S. Mane.

The application for the patent was published on Feb. 6, under issue no. 06/2026.

According to the abstract released by the Intellectual Property India: "This invention discloses a Deep Learning-Based Real-Time Facial Recognition System for Secure Access, which leverages convolutional neural networks for face detection, feature extraction, and matching. The system includes a robust anti-spoofing module to counter presentation attacks and ensures high accuracy under varying environmental conditions. Designed for deployment on edge or cloud platforms, the system offers fast, privacy-compliant, and secure access control for applications in smart buildings, workplaces, defense zones, and public infrastructure. Its modular architecture and encrypted matching mechanism make it suitable for scalable and secure integration across industries."

Disclaimer: Curated by HT Syndication.