Biometric Testing via Simulated Components and Mechanical Arm
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Solution Overview
Problem
Current methods for testing biometric recognition devices face challenges in accuracy and efficiency due to variations in biometric characteristics and environmental conditions, particularly when using artificial participation for performance determination.
Innovation Solution
A method and system utilizing simulated components with biometric characteristics, controlled by a mechanical arm with a camera component, to input biometric information into biometric recognition devices under standardized test parameters, ensuring consistent environment variables and improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If artificial participation is used to test biometric recognition devices, then the testing process is simple to implement, but the performance determining accuracy is poor due to variations in biometric characteristics and environmental conditions
Solution Approach 1:
The patent uses simulated components that replicate human biometric characteristics (fingerprints, facial features, iris patterns) to replace actual human participants in the testing process. These simulated components are created based on real biometric data and can be repeatedly used under controlled conditions, eliminating the variability inherent in human participants while maintaining the authenticity of biometric recognition testing.
Solution Approach 2:
The patent systematically varies test parameters including environmental conditions (lighting, temperature, humidity), biometric characteristic variations (pattern clarity, moisture content, pressure), and device operating parameters. By controlling and adjusting these parameters, the system achieves comprehensive testing under multiple scenarios while maintaining consistent and repeatable conditions, thereby improving measurement accuracy.
2Ease of operation
If artificial participation is used to test biometric recognition devices, then the testing method is easy to implement, but the performance determining efficiency is low
Solution Approach 1:
Simulated components can be rapidly deployed and reused without requiring human participants, eliminating setup time, environmental adaptation time, and subject availability constraints. The simulated components remain available indefinitely and can be tested repeatedly without fatigue or variation, dramatically increasing testing throughput and efficiency.
Solution Approach 2:
The testing system enables continuous operation without interruption by using simulated components that do not require rest, adaptation, or repositioning between tests. The mechanical arm can continuously present simulated biometric characteristics to the recognition device, maintaining constant testing activity and maximizing productivity.
3Measurement precision
If simulated components are used with mechanical arm control, then the performance determining accuracy is improved through standardized test parameters, but the device complexity increases
Solution Approach 1:
The mechanical arm system serves multiple functions: it positions simulated components, controls pressing force and angle, adjusts positioning precision, and coordinates with environmental control systems. This multi-functional approach consolidates what would otherwise require separate devices into a single integrated system, managing complexity while achieving precise standardized testing.
Solution Approach 2:
The mechanical arm acts as an intermediary between the control system and the simulated biometric components, translating control signals into precise physical actions (positioning, pressing, orienting). This intermediary layer enables standardized testing parameters to be implemented without requiring direct manual intervention, improving accuracy while keeping the system manageable through automated control.
4Productivity
If simulated components are used with mechanical arm control, then the performance determining efficiency is improved, but the device complexity increases
Solution Approach 1:
The mechanical arm enables continuous automated testing by rapidly positioning and presenting simulated biometric components without interruption. The system maintains constant testing activity through automated sequences, eliminating idle time between tests and maximizing productivity despite the added complexity of automated control systems.
Solution Approach 2:
The testing system performs self-positioning, self-adjustment, and self-testing through automated mechanical arm control and programmed sequences. The system requires minimal human intervention after initial setup, operating autonomously to present simulated components, control test parameters, and collect results, thereby improving efficiency while the complexity is managed through automation rather than manual coordination.
Data Source
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AI summary
The embodiments of the present specification disclose a method, apparatus, device, and system for testing a biometric recognition device. The method includes the following: a target simulated component required for testing the performance of a biometric characteristic recognition device is obtained from simulated components that include biometric characteristics; a mechanical arm is controlled, based on a camera component arranged on the mechanical arm in target test environments with the same test parameters, to respectively input biometric characteristic information of the target simulated component to the biometric characteristic recognition device, where the test parameters include a light parameter in the target test environment and a pressing force parameter and a pressing angle parameter of the mechanical arm for the target simulated component; a recognition result obtained by the biometric characteristic recognition device by recognizing the biometric characteristic information of the target simulated component based on predetermined reference biometric characteristic information is obtained, and a performance test result of the biometric characteristic recognition device is determined based on the recognition result.