MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043309 A) filed by Kotcherla Murali Krishna, Nellore, Andhra Pradesh, on April 4, for 'system and method for autonomous cross-modal consistency verification and confidence-weighted trust scoring in video-based digital commerce infrastructure.'
Inventor(s) include Kotcherla Murali Krishna.
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: "A system and method for autonomous cross-modal consistency verification and confidence-weighted trust scoring in video-based digital commerce infrastructure is disclosed. The system decomposes video into audio, image frames, and embedded text using adaptive sampling, extracting structured entities via a real-time multi-modal inference pipeline. Entities are aligned into a unified semantic schema using contrastive embeddings. A cross-modal consistency verification engine performs pairwise conflict detection with temporal synchronization and category-adaptive thresholds, while an authenticity module detects reuse, manipulation, and synthetic indicators via perceptual hashing and neural forensic analysis. A composite trust score is computed through a confidence-weighted fusion formula wherein modality weights are dynamically optimized via machine learning feedback. An autonomous orchestration layer routes tasks using context-aware agents implementing self-healing failover, adaptive scaling, and modular integration with external inference endpoints. Verified listings are cryptographically signed and distributed via standardized interfaces across digital commerce platforms. The system improves processing efficiency, semantic alignment accuracy, and fraud detection precision in scalable digital commerce environments."
Disclaimer: Curated by HT Syndication.
