Facial Recognition Depth Verification Anti-Counterfeiting
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Solution Overview
Problem
Facial recognition technologies in electronic devices have low security due to reliance on two-dimensional image verification, which can be compromised by photos, leading to potential information leakage and property loss.
Innovation Solution
The implementation of a facial recognition method using an electronic device equipped with an infrared projector and dual-pass cameras that collect both two-dimensional and depth information, performing triple recognition through two-dimensional image authentication, depth anti-counterfeiting, and infrared anti-counterfeiting to verify the authenticity of a face.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If two-dimensional image verification is used for facial recognition, then the operation is simple and fast, but the security is low and vulnerable to photo attacks
Solution Approach 1:
The patent transitions from two-dimensional image verification to three-dimensional depth verification by introducing depth information acquisition through stereoscopic vision. The system captures depth maps and calculates depth values for facial features, creating a third dimension of verification that photos cannot replicate, thus resolving the security vulnerability while maintaining operational simplicity
Solution Approach 2:
The patent introduces an intermediary depth verification layer between the user and the authentication system. Instead of directly verifying two-dimensional images, the system first verifies depth information as an intermediary step, which acts as a mediator to block photo attacks while allowing genuine facial recognition to proceed
2Device complexity
If only two-dimensional image authentication is performed, then the device complexity is low, but the security performance is insufficient
Solution Approach 1:
The patent makes the existing camera system multi-functional by enabling it to capture both two-dimensional images and depth information simultaneously. The same camera hardware performs dual functions: traditional 2D facial recognition and new 3D depth verification, eliminating the need for separate dedicated depth sensors and maintaining device complexity at acceptable levels
Solution Approach 2:
The patent changes the verification parameter from purely two-dimensional image data to include three-dimensional depth data. By calculating depth values for facial features and comparing them against stored depth information, the system enhances security performance through parameter expansion rather than hardware proliferation
3Reliability
If depth information verification is added to facial recognition, then the security is improved, but the device complexity increases
Solution Approach 1:
The patent merges depth information acquisition and processing into the existing facial recognition workflow. The depth map calculation and feature point depth verification are integrated with the traditional two-dimensional image authentication process, combining multiple verification functions into a unified system that improves security without proportionally increasing complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly enhances security by accurately distinguishing between real faces and photos, preventing unauthorized access and information leakage, thereby improving the overall security performance of the electronic device.
Implementation Method 1
emits infrared light with a light spot by using the infrared projector
Implementation Method 2
collects first image information of the first object by using the first camera, and collects second image information of the first object by using the second camera
Implementation Method 3
calculates depth information of the first object based on the first image information, the second image information, the first length, a lens focal length of the first camera, and a lens focal length of the second camera
Data Source
AI summary
A facial recognition method includes receiving, by an electronic device, a first instruction triggering the electronic device to perform facial recognition, emitting in response to the first instruction, infrared light with a light spot using an infrared projector, collecting first image information of a first object using a first camera, collecting second image information of the first object using a second camera, calculating depth information of the first object based on the first image information, the second image information, the first length, a lens focal length of the first camera, and a lens focal length of the second camera, and performing user identity verification on the first object using the first image information and the depth information of the first object.