Remote tele-biometrics for liveness detection and deepfake video identification
AssigneePureCipher Inc.
InventorsWendy Chin, William Hahn, Prajwal Nagaraj, Mykyta Storozhenko
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Abstract
A system comprises a video capture module to acquire a video, a preprocessing module to enhance video quality and isolate regions of interest within the video, and a biometric data extraction module using remote photoplethysmography to extract heartbeat and SpO2 levels from the video. A machine learning module analyzes the extracted biometric data for liveness and deepfake detection, a verification module to compare the analyzed data against known biometric signatures, and a user interface to display analysis results and alerts.
Claims20
A system comprising:
- a video capture module to acquire a video;
- a preprocessing module to enhance video quality and isolate regions of interest within the video;
- a biometric data extraction module using remote photoplethysmography to extract heartbeat and SpO2 levels from the video;
- a machine learning module to analyze the extracted biometric data for liveness and deepfake detection;
- a verification module to compare the analyzed data against known biometric signatures;
- and
- a user interface to display analysis results and alerts.
A method comprising:
- capturing video footage of a subject;
- enhancing a video quality of the video footage;
- isolating one or more regions of interest within the video footage;
- extracting biometric data from the video footage using remote photoplethysmography;
- analyzing the extracted biometric data with a machine learning algorithm;
- comparing the analyzed data against known biometric signatures to verify identity and liveness;
- and
- generating an alert if a deepfake is detected or liveness cannot be confirmed.
A non-transitory computer-readable medium having program instructions stored thereon, configured to be executable by processing circuitry, wherein the program instructions, when executed by the processing circuitry, cause the processing circuitry to at least:
- acquire video footage;
- identify a region of interest (ROI) within the video footage;
- extract heartbeat and SpO2 level data within the ROI from the video footage using remote photoplethysmography;
- analyze the extracted biometric data with a machine learning algorithm;
- compare the analyzed data against known biometric signatures to verify identity and liveness;
- and
- generate an alert if a deepfake is detected or liveness cannot be confirmed.
Dependencies are inferred from the claim text.