Mechanical Arm Biometric Attack Testing for Reproducible Results
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Solution Overview
Problem
Current biometric recognition testing methods are inefficient and inaccurate due to the use of many machine learning algorithms, requiring extensive human resources and resulting in long test periods with high error variances and difficulty in reproduction.
Innovation Solution
A biometric recognition attack test method and apparatus that utilizes a mechanical arm to place a biometric feature object with a feature attachment part and conductive part into a recognition area of a biometric recognition device, allowing for automated testing and improved accuracy by controlling the mechanical arm to input biometric features and determine test results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual testing with multiple test volunteers is used, then biometric recognition capability can be tested, but human resource consumption increases and test period extends
Solution Approach 1:
The patent replaces the manual mechanical testing process with an automated mechanical arm system. The mechanical arm performs precise positioning and pressing operations on the biometric feature object, eliminating the need for human operators to manually place and press biometric features repeatedly. This substitution directly addresses the contradiction by maintaining testing reliability while dramatically improving productivity through automation.
Solution Approach 2:
The system enables self-service testing where the automated apparatus performs all testing operations independently without requiring human intervention for each test case. The mechanical arm automatically positions, presses, and retrieves biometric feature objects, and the system automatically processes and records test results. This self-service mechanism resolves the contradiction by eliminating human resource consumption while maintaining comprehensive testing capability.
2Reliability
If manual testing operations are performed, then biometric recognition can be tested, but error variances between manual operations increase
Solution Approach 1:
The patent replaces manual testing operations with a controlled mechanical arm system that executes identical positioning and pressing actions for each test. The mechanical arm maintains consistent pressure, positioning accuracy, and operation timing across all test cases, eliminating the variability inherent in manual operations. This directly resolves the contradiction by ensuring measurement precision while maintaining comprehensive test coverage.
Solution Approach 2:
The system transforms the testing process from variable manual operations to controlled parameter-based automation. By defining precise parameters for mechanical arm positioning, pressing force, contact duration, and retrieval timing, the system ensures repeatable test conditions. This parameter control resolves the contradiction by eliminating error variances while preserving thorough testing capability.
3Measurement precision
If extensive testing attempts are made to account for stochastic results, then testing accuracy improves, but test period extends significantly
Solution Approach 1:
The automated system enables continuous testing operations without the interruptions and setup time required for manual testing. The mechanical arm can immediately retrieve a biometric feature object and position the next object for testing, maintaining continuous operation. This continuity resolves the contradiction by allowing extensive testing attempts to be performed in rapid succession, improving measurement precision without proportionally extending the test period.
Solution Approach 2:
The mechanical arm system performs testing operations at consistent high speed with minimal cycle time between attempts. By replacing manual operations that require human reaction time and repositioning with automated rapid execution, the system enables multiple testing attempts within the same time frame, resolving the contradiction between testing accuracy and test period.
4Reliability
If manual testing is performed, then biometric recognition can be evaluated, but reproduction of test results becomes difficult
Solution Approach 1:
The patent replaces manual testing with an automated mechanical system that executes identical operations for each test case. The mechanical arm's positioning, pressing, and retrieval actions are precisely controlled and repeatable, ensuring that test results can be reproduced across different testing sessions. This directly addresses the contradiction by maintaining evaluation capability while enabling easy reproduction through automation.
Solution Approach 2:
The system performs preliminary setup of test parameters, mechanical arm trajectories, and pressing forces before actual testing begins. By pre-defining all operational parameters and sequences, the system ensures that subsequent testing can be exactly reproduced. This preliminary action resolves the contradiction by making test reproduction straightforward while preserving comprehensive evaluation capability.
Data Source
AI summary
Methods, systems, and apparatus for operations for performing a biometric recognition attack test on a biometric recognition device. An example method includes obtaining a biometric feature object for performing the biometric recognition attack on the biometric recognition device; Perform the biometric recognition attack test on the biometric recognition device, comprising: controlling a mechanical arm to place the biometric feature object in a recognition area of the biometric recognition device; and controlling the mechanical arm to press the biometric feature object to the biometric recognition device to trigger the biometric feature object to input the biometric features in the feature attachment part into the biometric recognition device through the conductive part; obtaining an attack test result corresponding to the biometric feature object; and determining a test result of the biometric recognition attack test performed on the biometric recognition device.