MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641073663 A) filed by Dr. Samuel Babu Koppula; Dr. G. Nithya; Komal Sharma; Venkata Satya Praveen Rani; Nancy Sharma; Dr. Uppula Kiran; Shaivyaa Sharma; Aruna Basava; Dr. P. Venkat Rao; Dhanapal M; Mr. Seepuram Srinivas Kumar; and Vishwanath M. Soppimath on June 13, 2026, for Adaptive Smart Home Automation System Using Machine Learning And Cloud-Connected Iot Devices.
Inventors include Dr. Samuel Babu Koppula; Dr. G. Nithya; Komal Sharma; Venkata Satya Praveen Rani; Nancy Sharma; Dr. Uppula Kiran; Shaivyaa Sharma; Aruna Basava; Dr. P. Venkat Rao; Dhanapal M; Mr. Seepuram Srinivas Kumar; and Vishwanath M. Soppimath.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: Adaptive Smart Home Automation System Using Machine Learning and Cloud-Connected IoT Devices is the proposed invention. The proposed invention is an adaptive smart home automation system using machine learning and cloud-connected IoT devices is disclosed for providing intelligent, autonomous, and energy-efficient residential management. The system comprises multiple IoT- enabled sensors, smart appliances, wireless communication modules, edge processing units, cloud computing infrastructure, and a Deep Reinforcement Learning (DRL) algorithm for adaptive decision-making. Environmental and behavioral data including occupancy status, temperature, humidity, appliance usage, lighting conditions, and user interaction patterns are continuously collected through distributed IoT devices and transmitted to a cloud platform for real-time analysis and processing. adaptive smart home automation system using machine learning and cloud-connected IoT devices is disclosed for providing intelligent, autonomous, and energy-efficient residential management. The system comprises multiple IoT-enabled sensors, smart appliances, wireless communication modules, edge processing units, cloud computing infrastructure, and a Deep Reinforcement Learning (DRL) algorithm for adaptive decision-making.
Disclaimer: Curated by HT Syndication.
