Onfido. has filed a patent for computerized methods and systems to detect fraud during biometric identity verification. The system involves a mobile device capturing video of a person’s face from different angles, creating a 3D reconstruction, deriving signals, generating embeddings, and calculating fraud confidence values for detection decisions. GlobalData’s report on Onfido gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Onfido, Liveness detection was a key innovation area identified from patents. Onfido's grant share as of January 2024 was 28%. Grant share is based on the ratio of number of grants to total number of patents.
Fraud detection during biometric identity verification using mobile device
A computer system for detecting fraud during biometric identity verification has been patented, comprising a mobile computing device, an image capture device, and a server computing device. The mobile device captures video of a person's face from different angles, creates a 3D reconstruction, and derives signals associated with facial features. The server generates embeddings for each frame, calculates fraud confidence values based on various attributes, and computes a fraud detection decision. The system includes instructions for head movement during video capture, visual indicators for rotation, and alerts for correct positioning. The method involves generating keypoints, determining relationships between them, and using machine learning models for fraud detection based on embeddings and attributes.
The patented system and method aim to enhance biometric identity verification by detecting fraud through advanced facial recognition techniques. By capturing video from multiple angles, creating 3D reconstructions, and analyzing facial features, the system can generate fraud confidence values and make accurate fraud detection decisions. The inclusion of instructions for head movement, visual indicators, and alerts ensures proper positioning during video capture, improving the quality of data for analysis. Additionally, the use of machine learning models and the consideration of various attributes such as face pose and image quality contribute to the system's effectiveness in detecting fraudulent activities during biometric identity verification. Overall, the patented technology represents a significant advancement in fraud detection within the realm of biometric security systems.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
