Digital ID Creation Using 3D Face Liveness Verification
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Solution Overview
Problem
Conventional facial recognition systems on small electronic devices are unreliable and insecure, making them unsuitable for secure user authentication due to vulnerabilities such as facial images being easily replicated, and users prefer more convenient and reliable methods for accessing accounts.
Innovation Solution
A method for enrolling and authenticating users using a mobile device's camera, capturing images from different angles and distances, combined with movement sensors, and utilizing multiple enrollment profiles, biometric and movement matching, and additional security layers like banding detection and three-dimensional imaging to enhance security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional two-dimensional facial recognition is used, then the system is simple and easy to implement, but it is insecure because faces can be photographed or recorded and used to trick the system
Solution Approach 1:
The patent transitions from two-dimensional facial recognition to three-dimensional facial recognition by capturing depth information and spatial coordinates of facial features. This dimensional upgrade prevents photo-based attacks by verifying the actual three-dimensional structure of the user's face, thereby resolving the security vulnerability while maintaining system feasibility through mobile device cameras and sensors.
Solution Approach 2:
The system incorporates real-time movement tracking by monitoring the mobile device's motion during image capture and comparing it against pre-recorded movement patterns. This dynamic verification layer adds security by ensuring the authentication process involves genuine user presence and movement, preventing static photo or video replay attacks.
2Reliability
If fingerprint sensors are used for authentication, then the system provides biometric security, but it is considered unreliable and unsecure on small electronic devices
Solution Approach 1:
The patent creates a digital twin or virtual model of the user's face through three-dimensional mapping and stores it for authentication purposes. This digital copy captures the unique three-dimensional characteristics of the user's facial structure, providing reliable biometric authentication without requiring physical contact with sensors, thus resolving both reliability and convenience issues.
Solution Approach 2:
The system replaces mechanical fingerprint sensors with optical and sensor-based three-dimensional facial recognition technology. This substitution eliminates the need for physical contact with small electronic device sensors, improving both reliability by capturing more unique biometric data points and ease of operation by allowing contactless authentication.
3Reliability
If complex passwords are required for security, then account security is improved, but it becomes cumbersome to type on small electronic devices and users may deactivate security measures
Solution Approach 1:
The system performs automated three-dimensional facial mapping and authentication without requiring user input beyond positioning the device. The mobile device's sensors and camera automatically capture and process facial data, compare it against stored profiles, and verify identity, providing strong security while maintaining ease of use through self-service automation.
Solution Approach 2:
The patent replaces manual password entry with biometric authentication using three-dimensional facial recognition. This substitution eliminates the need for typing complex passwords on small devices, providing equivalent or superior security through unique biological characteristics while dramatically improving user convenience through contactless, automated verification.
Data Source
AI summary
A method for generating a digital ID comprising capturing one or more user images of user's face, transmitting the one or more user images or data derived therefrom to a verification server and determining if the one or more images represent a live person. Capturing an ID image of a photo identification for the user and transmitting the ID image to the verification server. Comparing at least one of the one or more user images or data derived therefrom to the image of the user on the photo identification to determine if user in the one or more user images is the same person as the image on the photo identification. Responsive to a match from the comparing and a determination that a live person was captured in the one or more user images, generating a user digital ID, and transmitting the user digital ID to the user.