MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611079524 A) filed by Ajay Kumar Garg Engineering College on June 28, 2026, for Ai-Based Multi-Source Surveillance System With Threat Prediction And Risk Scoring And Working Method Thereof.
Inventors include Yash Gupta; Rohan Agarwal; Vansh Mittal; Ms. Shikha Agarwal; and Dr. Anju Mishra.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention discloses an AI-based multi-source surveillance system (100) for real-time threat prediction, risk scoring, and adaptive security response. The system comprises a plurality of multi-sensor data acquisition units (102) configured to capture heterogeneous sensing data, edge processing nodes (104) for local preprocessing and feature extraction, and a secure communication backbone (106) for encrypted transmission of processed data. A central AI analytical engine (108) includes a multi-modal fusion module (110), behavioural analytics engine (112), and threat prediction and scoring module (114) configured to identify anomalies, predict threats, and generate composite risk scores. A risk stratification unit (116) classifies threat levels using contextual intelligence from a knowledge base (118). An operator command dashboard (120), adaptive learning unit (122), privacy-preserving processing layer (124), and automated response orchestrator (126) collectively enable predictive surveillance, continuous learning, secure processing, and proportionate response initiation. Accompanied Drawings [Fig. 1-4]
Disclaimer: Curated by HT Syndication.
