Method, system and computer program product for providing deep fake detection and prevention in a video conference

Abstract

A system and method for continuous biometric verification during video calls to prevent the injection of deepfake media streams. The method involves actively illuminating the user's face with near-infrared light and projecting a pseudo-random dot pattern onto the face using a structured light projector. An infrared camera or LiDAR/ToF sensor captures the reflected pattern to create a depth map, which is compared with stored biometric data for continuous identity verification. The system ensures secure transmission of genuine real-time media streams by continuously matching the depth map and video feed with the biometric database, detecting and blocking any discrepancies. Key components include a dot pattern generator, structured light projector, infrared camera, LiDAR/ToF sensor, triangulation algorithm, biometric database, and face identification algorithm. The invention enhances security in digital communication platforms by providing robust protection against fraudulent activities during video calls.

Dependencies are inferred from the claim text.