MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641007434 A) filed by R. M. K. Engineering College, Chennai, Tamil Nadu, on Jan. 26, for 'system and method for sharing machine learning intelligence between cloud infrastructure and distributed iot networks.'
Inventor(s) include Ms S. Karkuzhali.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system and method for implementing deep learning within Internet of Things (IoT) networks using convolutional neural networks (CNNs). The system comprises a plurality of distributed sensing nodes and one or more aggregating nodes configured to collect, preprocess, and analyze sensor data. Event detection is performed by applying CNN-based models to the acquired data, enabling accurate identification of events of interest with improved reliability and reduced false detections. To optimize network performance, the processing workload is intelligently divided between edge-level IoT nodes and a centralized cloud computing environment. Preliminary feature extraction and inference are executed at the IoT network level, while computationally intensive training, model optimization, and long-term analytics are handled by the cloud. This distributed architecture significantly reduces bandwidth consumption, latency, and energy usage while maintaining high detection accuracy. The proposed approach enables scalable, efficient, and real-time intelligent processing for large-scale IoT deployments, making it suitable for applications including smart cities, industrial automation, environmental monitoring, and intelligent surveillance systems."
Disclaimer: Curated by HT Syndication.
