MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061071 A) filed by Cvr College Of Engineering, Hyderabad, Telangana, on May 14, for 'adaptive neural framework for real-time anomaly detection in distributed internet of things networks.'
Inventor(s) include A. Vani Vathsala.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "This invention uses edge-based intelligence to provide an adaptive neural framework for real-time anomaly detection in distributed Internet of Things networks. The framework for sensor data analysis can be effectively deployed on edge devices. Because it is highly sensitive to the operating context, the context-aware dynamic threshold calibration method reduces false alarms. The invention uses a federated learning protocol, which eliminates the need for centralized data aggregation and enables cooperative model improvement across dispersed nodes. The framework can be deployed effectively in battery-powered environments which optimizes the detection process with the available power budgets. The framework offers detection latency of less than a second, similar accuracy to cloud-based systems, without the necessity of continuous connection. The invention's ability to address challenges in latency, bandwidth consumption, scalability and flexibility may be used in a number of applications including industrial automation, smart infrastructure, healthcare and system security, among others."
Disclaimer: Curated by HT Syndication.
