MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048608 A) filed by Dr. Akey Sungheetha; Dr. K. Kalyan Chakravarthy; Dr. Umamaheswari S; and Dr. M. Saravanan, Bengaluru, Karnataka, on April 16, for 'a hybrid ai-iot framework for real-time anomaly detection and predictive maintenance.'
Inventor(s) include Dr. Akey Sungheetha; Dr. K. Kalyan Chakravarthy; Dr. Umamaheswari S; and Dr. M. Saravanan.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "A hybrid Artificial Intelligence (AI) and Internet of Things (IoT)-based framework for real-time anomaly detection and predictive maintenance is disclosed. The system utilizes distributed IoT sensors to continuously monitor operational parameters of industrial assets and transmit data to edge and cloud computing layers. Edge devices perform preliminary data processing and anomaly screening using lightweight AI models, while cloud-based platforms apply advanced machine learning and deep learning techniques to identify complex fault patterns and predict potential failures. The framework incorporates adaptive learning to enhance model accuracy over time and provides actionable insights through alerts and maintenance recommendations. Secure communication and interoperability features ensure reliable integration across heterogeneous environments. The proposed system improves operational efficiency, reduces downtime, and enables cost-effective, proactive maintenance across various industrial applications."
Disclaimer: Curated by HT Syndication.
