3D Depth Authentication for Computing Devices
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Solution Overview
Problem
Current security systems for computing devices, such as those using username and passwords or biometrics, can be bypassed using images, leading to unauthorized access.
Innovation Solution
A computer-implemented system and method that employs depth data generated from a series of images to authenticate users through primary, secondary, and tertiary authentication processes, using 3D point comparisons and feature matching techniques to prevent unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional authentication methods (username/password or biometrics) are used, then ease of operation is improved, but security reliability deteriorates because they can be bypassed using images
Solution Approach 1:
The patent transitions from 2D image-based authentication to 3D depth-based authentication. The depth map generator creates a depth map from multiple images, adding a third dimension (depth) to the authentication process. This dimensional change prevents spoofing with flat images while maintaining user-friendly operation.
Solution Approach 2:
The system performs preliminary depth analysis by generating a depth map from multiple captured images before final authentication. This preliminary action of creating depth information allows the system to verify three-dimensional characteristics in advance, preventing image-based bypass attempts while keeping the authentication process seamless for legitimate users.
2Reliability
If multi-level authentication processes are implemented, then authentication reliability is improved, but device complexity increases due to multiple authentication levels
Solution Approach 1:
The authentication system is segmented into distinct modules: image capturer, depth map generator, depth comparator, and authentication determiner. Each module performs a specific function, making the complex multi-level authentication process manageable and maintainable while ensuring high security reliability through layered verification.
Data Source
AI summary
Aspects of the disclosure relate generally to using a primary and secondary authentication to provide a user with access to protected information or features. To do so, a computing device may generate depth data based on a plurality of images of a user. The computing device may then compare the generated depth data to pre-stored depth data that was generated based on a pre-stored plurality of images. If authentication is successful, the user may be granted access to features of the computing device. If authentication is unsuccessful, then a secondary authentication may be performed. The secondary authentication may compare facial features of a captured image of the user to facial features of a pre-stored image of the user. If authentication is successful, then the primary authentication may be performed again. This second time, the user may be granted access if authentication is successful, or denied access if authentication is unsuccessful.