MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641065336 A) filed by Vellore Institute Of Technology on May 18, 2026, for System And Method For Automated Contraband Detection In X-Ray Baggage Images Using Causal Material-Object Reasoning.
Inventors include Bharanidharan N; and Sarweshwaran R S.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present disclosure proposes a system (100) for automated detection of contraband objects in X-ray baggage images using causality-driven material-object interaction analysis. The system (100) comprises a computing device (102) having at least one processor (104) executing plurality of modules (116). A material tokenization module (118) pre-processes X-ray baggage image data for generating material-aware token representations. An object formation module (120) generates object-level representations. An object interaction graph module (122) constructs object interaction graphs (OIG) corresponding to spatial, structural, contextual, and material relationships. An interaction weighting module (124) assigns interaction weights. A causal threat analysis module (126) performs causality-driven interaction analysis for identifying threat likelihood associated with detected object interactions. A threat assessment module (128) generates contraband detection outputs, while an output management module (130) transmits generated contraband detection outputs for baggage screening operations.
Disclaimer: Curated by HT Syndication.
