Intellectual Property India Publishes Patent Application for 'Federated Multimodal Deep Learning Based Indoor System For Privacy-Preserving Indoor Environmental Control' Filed by Marwadi University

MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202621009360 A) filed by Marwadi University, Rajkot, Gujarat, on Jan. 29, for 'federated multimodal deep learning based indoor system for privacy-preserving indoor environmental control.'

Inventor(s) include Tumma Venkata Mani Raju; M. Sankar Rao; Dr. Madhu Shukla; Simrin Fathima Syed; Vipul Ladva; Akshay Ranpariya; and Neel Dholakia.

The application for the patent was published on March 13, under issue no. 11/2026.

According to the abstract released by the Intellectual Property India: "A federated multimodal deep learning based indoor system for privacy-preserving indoor environmental control, comprising of an enclosure 101, a plurality of environmental to detect temperature, humidity, air quality parameters, and ambient environmental conditions, a window assembly to enable controlled ventilation, daylight modulation, and thermal regulation of the enclosure 101, a pair of infrared (IR) beam sensors where a sequential interruption of the IR beams determines entry or exit of a user, a lighting unit to provide adaptive, localized illumination based on detected occupancy, posture, activity, and ambient lighting conditions, a thermal imaging unit 110 to detect user posture and activity patterns without capturing visual identity information, a temperature regulation module, to dynamically regulate heat gain and heat loss within the enclosure 101, and an acoustic management unit to detect and suppress external noise."

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