MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641062271 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on May 16, for 'biometric-enhanced real-time deepfake detection system using multimodal ai analysis.'
Inventor(s) include Dr. Priyadharsini M; Dr. Bhawana Tyagi; Dr. Naga Priyadarsini R; and Dr. Karthik K.
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: "The present invention relates to a system and method for real-time detection of synthetic media using multimodal biometric analysis. Visual, audio, and physiological signals are acquired and processed to extract biometric features, which are evaluated for cross-modal consistency and liveness. A composite risk score is generated based on biometric deviation and inconsistency, and the input is classified as authentic, suspicious, or synthetic. The classification and associated evidence are recorded in a distributed ledger to ensure tamper-resistant auditability. The system further employs federated learning to update detection models without sharing raw biometric data. By analyzing relationships between multiple biometric modalities and physiological indicators, the invention enables detection of deepfake content independent of superficial artifacts."
Disclaimer: Curated by HT Syndication.
