Dynamic Biometric Threshold Adjustment for Mobile Terminals
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile terminals face low identification rates due to fixed verification algorithms, which limit flexibility and efficiency in biometric unlocking processes.
Innovation Solution
A method and apparatus that dynamically adjust the matching threshold of biometric identification modules based on the distance between the user and the mobile terminal, using a proximity sensor to determine the target biometric identification module and adjust its matching threshold, thereby improving identification rates and flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed verification algorithm is used for biometric identification, then the system is simple to implement, but the identification rate is low and flexibility is limited
Solution Approach 1:
The patent implements dynamic adjustment of matching thresholds based on distance information from proximity sensors. The verification algorithm adapts its parameters in real-time according to the user's distance from the device, transforming a static system into a dynamic one that can optimize identification rates for different usage scenarios without requiring completely new verification algorithms.
Solution Approach 2:
The patent changes the matching threshold parameter based on distance measurements. By adjusting this critical parameter dynamically, the system improves identification rates for different distances while maintaining the same underlying verification algorithm structure, thus balancing reliability improvement with controlled complexity increase.
2Measurement precision
If the matching threshold is fixed, then the verification process is fast and simple, but the accuracy and adaptability to different distances are poor
Solution Approach 1:
The patent uses proximity sensor data as feedback to automatically adjust the matching threshold. The system continuously monitors distance and adjusts verification parameters accordingly, improving accuracy without requiring manual intervention or complex user operations. The feedback loop operates transparently in the background.
Solution Approach 2:
The verification system automatically adjusts its own parameters based on distance information. The algorithm self-regulates the matching threshold without external control, maintaining ease of operation while improving precision through adaptive parameter selection.
3Reliability
If multiple biometric identification modules are always activated, then the identification rate improves, but power consumption increases
Solution Approach 1:
The patent applies different verification strategies to different spatial zones based on distance. At certain distances, only specific biometric modules are activated while others remain dormant. This local differentiation of verification intensity optimizes identification rates where needed while conserving energy in other conditions.
Solution Approach 2:
The system activates only the necessary subset of biometric modules based on distance requirements. Rather than always running all modules excessively, the patent applies partial action by selecting only the appropriate modules for the current distance scenario, reducing power consumption while maintaining sufficient identification capability.
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
The dynamic adjustment of matching thresholds enhances the identification rate and flexibility of the unlocking process, reducing power consumption and improving accuracy by optimizing the selection of biometric identification modules based on environmental and scene parameters.
Implementation Method 1
acquiring a distance between a face of a user and the mobile terminal through a proximity sensor of the mobile terminal
Data Source
Figure 1~2
Figure 3
Figure 4~5
AI summary
An unlocking control method and a related product, the method comprising: acquiring, by means of a proximity sensor of a mobile terminal, the distance between a face and the mobile terminal (301); determining a target biometrics module (302), the target biometrics module being any one biometrics module to be adjusted to a matching threshold value within a current biometrics apparatus; determining, according to the distance, a target matching threshold value corresponding to the target biometrics module, and adjusting a matching threshold value of the target biometrics module to the target matching threshold value (303); and performing unlocking control according to the target matching threshold value (304). The method may increase the recognition rate and flexibility of unlocking. An unlocking control method and a related product, the method comprising: acquiring, by means of a proximity sensor of a mobile terminal, the distance between a face and the mobile terminal (301); determining a target biometrics module (302), the target biometrics module being any one biometrics module to be adjusted to a matching threshold value within a current biometrics apparatus; determining, according to the distance, a target matching threshold value corresponding to the target biometrics module, and adjusting a matching threshold value of the target biometrics module to the target matching threshold value (303); and performing unlocking control according to the target matching threshold value (304). The method may increase the recognition rate and flexibility of unlocking.