Intellectual Property India Publishes Patent Application for 'Automated Intruder Detection And Alert System Using Cnn-Based Facial Recognition For High-Security Rooms' Filed by The Principal, K. S. R. College Of Engineering

MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541132848 A) filed by The Principal, K. S. R. College Of Engineering, Tiruchengode, Tamil Nadu, on Dec. 29, 2025, for 'automated intruder detection and alert system using cnn-based facial recognition for high-security rooms.'

Inventor(s) include Dr. N. Saravanan; Mr. K. Muthukumaran; Mr. S. Gokul; Ms. A. Latha; Dr. P. Kalyanasundaram; Ms. S. Nandhini; Ms. C. Dharanya; Mr. P. Mohan; and Mr. G. Mohesh Kumar.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "The invention relates to an automated intruder detection and alert system using CNN-based facial recognition for high-security rooms. The system captures live video, identifies faces, and classifies individuals as authorized or unauthorized using a trained convolutional neural network. Unauthorized access triggers immediate audio and email alerts containing the intruder's image, enabling rapid response. Comparative evaluation demonstrates superior accuracy, reduced false alarms, and faster processing compared to conventional security algorithms, making the system suitable for sensitive and restricted environments."

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