MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042768 A) filed by Mrs. Balakiruba J; Mr. S. Prakash; Mrs. A. Suganya; M. S. Vinu; Mrs. K. N. Jayapriya; Mrs. E. Annal Sheeba Rani; Mrs. Nambi Rajeswari. G; Mr. Ajithkumar A; Mr. Manoj Praveen V; and Dr. S. Logeshkumar, Coimbatore, Tamil Nadu, on April 2, for 'deep learning based autonomous monitoring system for early detection of anomalies in edge devices.'
Inventor(s) include Mrs. Balakiruba J; Mr. S. Prakash; Mrs. A. Suganya; M. S. Vinu; Mrs. K. N. Jayapriya; Mrs. E. Annal Sheeba Rani; Mrs. Nambi Rajeswari. G; Mr. Ajithkumar A; Mr. Manoj Praveen V; and Dr. S. Logeshkumar.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a deep learning-based autonomous monitoring system designed for early detection of anomalies in edge devices operating in distributed environments. The system comprises a data acquisition module, an edge preprocessing unit, and a deep learning-based anomaly detection engine capable of identifying deviations from normal operational behavior in real time. An adaptive learning framework enables continuous model updates using centralized or federated approaches, thereby improving detection accuracy while preserving data privacy. The system further includes an alert and response module that classifies anomalies and initiates appropriate corrective actions. By leveraging lightweight neural architectures optimized for edge deployment, the invention ensures low latency, reduced bandwidth usage, and enhanced scalability, making it suitable for applications in industrial IoT, healthcare, and smart infrastructure."
Disclaimer: Curated by HT Syndication.
