Face Authentication Threshold Control from Gate Flow Rates
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Solution Overview
Problem
Existing face authentication systems require manual administrator intervention to set security levels and thresholds based on gate security levels, increasing administrative burden.
Innovation Solution
A face authentication apparatus that automatically determines security levels and adjusts collation thresholds based on flow rates of users moving through a gate, using a flow rate measurement unit and security level determination unit to set appropriate thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual administrator determination of security levels is used, then security level setting can be performed, but administrative burden increases
Solution Approach 1:
The system automatically determines security levels of areas and adjusts collation thresholds without requiring administrator intervention. The face authentication apparatus performs self-service by using measured flow rates to autonomously set appropriate security parameters, eliminating manual administrative burden while maintaining reliable security level setting
Solution Approach 2:
The system measures flow rates of users moving through the gate and uses this feedback information to automatically determine security levels and adjust thresholds. The continuous measurement and adjustment process creates a feedback loop that enables automatic adaptation to changing conditions without administrator involvement
2Reliability
If collation threshold is set to be relatively larger for high security level, then false acceptance rate is lowered, but false rejection rate increases
Solution Approach 1:
The collation threshold is made dynamic rather than fixed. The system automatically adjusts the threshold value based on the determined security levels of the areas involved in the transaction. When security levels are high, the threshold is set relatively larger to lower false acceptance rate; when security levels are low, the threshold is set relatively smaller to lower false rejection rate
Solution Approach 2:
The system changes the collation threshold parameter according to the security levels of the areas. By automatically determining area security levels and adjusting the threshold parameter accordingly, the system adapts to different security requirements without manual intervention, balancing false acceptance and false rejection rates
Data Source
AI summary
A face authentication apparatus includes a face image acquisition unit that acquires, as a first face image, a face image of a user who moves from a first area to a second area via a gate provided between the first area and the second area, a collation unit that performs face authentication, a flow rate measurement unit that measures a flow rate of users who move from the first area to the second area via the gate and a flow rate of users who move from the second area to the first area via the gate, and a security level determination unit that determines the security level of the first area and the security level of the second area on the basis of the flow rates measured.