Intellectual Property India Publishes Patent Application for 'An Iot-Based System And Method For Unconstrained Face Identification And Verification Using Machine Learning' Filed by Samadhan Shrihari Ghodke; Shalini R. Bakal; Manisha B. More; Anand D. Kadam; Anjali A. Rokde; Vishnu N. Dabhade; Nagsen S. Bansod; and Prapti D. Deshmukh

MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202621004079 A) filed by Samadhan Shrihari Ghodke; Shalini R. Bakal; Manisha B. More; Anand D. Kadam; Anjali A. Rokde; Vishnu N. Dabhade; Nagsen S. Bansod; and Prapti D. Deshmukh, Sambhajinagar, Maharashtra, on Jan. 15, for 'an iot-based system and method for unconstrained face identification and verification using machine learning.'

Inventor(s) include Samadhan Shrihari Ghodke; Shalini R. Bakal; Manisha B. More; Anand D. Kadam; Anjali A. Rokde; Vishnu N. Dabhade; Nagsen S. Bansod; and Prapti D. Deshmukh.

The application for the patent was published on Feb. 27, under issue no. 09/2026.

According to the abstract released by the Intellectual Property India: "The present invention discloses an IoT-based system and method for unconstrained face identification and verification using machine learning. The system employs IoT-enabled image acquisition devices to capture facial data under unconstrained conditions and utilizes trained machine learning models for robust feature extraction and matching. The proposed system enables real-time, scalable, and accurate face identification and verification suitable for distributed IoT environments."

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