Intellectual Property India Publishes Patent Application for 'Machine Learning-Enabled Iot-Based Smart Surveillance System For Real-Time Public Safety Monitoring And Intelligent Threat Detection' Filed by Dr. G. Sharmila; and Cmr University

MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641019081 A) filed by Dr. G. Sharmila; and Cmr University, Bangalore, Karnataka, on Feb. 19, for 'machine learning-enabled iot-based smart surveillance system for real-time public safety monitoring and intelligent threat detection.'

Inventor(s) include Dr. G. Sharmila.

The application for the patent was published on Feb. 27, under issue no. 09/2026.

According to the abstract released by the Intellectual Property India: "The present invention discloses a Machine Learning-Enabled IoT-Based Smart Surveillance System for Real-Time Public Safety Monitoring and Intelligent Threat Detection. The system integrates distributed IoT sensors with an Adaptive Edge-Cloud Threat Detection Method (AECTDM) employing Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and attention-based anomaly detection techniques. Edge computing enables low-latency inference, while cloud infrastructure supports predictive analytics and federated learning-based model updates. The proposed system achieves 96.8% detection accuracy with 45 ms latency, significantly outperforming conventional surveillance systems. The invention provides scalable, secure, and intelligent public safety monitoring suitable for smart cities, transportation hubs, and critical infrastructure environments."

Disclaimer: Curated by HT Syndication.