Face Authentication Threshold Control Using Gate Flow Rates
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Solution Overview
Problem
Manual determination of security levels on both sides of a gate in face authentication systems increases administrative burden, as it requires setting different thresholds for different security scenarios.
Innovation Solution
A face authentication apparatus that measures flow rates of users through a gate and automatically determines security levels based on these rates, adjusting collation thresholds accordingly to reduce the false acceptance or rejection rates based on the security levels of the areas on either side of the gate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual determination of security levels is performed by administrator, then security levels can be set based on experience and judgment, but administrative burden increases and efficiency decreases
Solution Approach 1:
The system automatically determines security levels by itself without requiring administrator intervention. The security level determination unit autonomously analyzes flow rate data and sets appropriate security levels and authentication thresholds, making the system self-configuring and eliminating manual administrative work while maintaining reliable security settings
Solution Approach 2:
The system uses feedback from flow rate measurements to automatically adjust security levels. By continuously monitoring user flow rates in different areas and using this feedback to dynamically determine security levels and authentication thresholds, the system adapts to changing conditions without administrator intervention, resolving the contradiction between reliability and productivity
2Reliability
If different fixed thresholds are set for entry and exit gates, then security requirements can be met, but false acceptance and rejection rates become imbalanced
Solution Approach 1:
The system dynamically adjusts authentication thresholds based on real-time flow rate conditions rather than using fixed thresholds. The collation threshold is automatically modified according to the measured flow rates and determined security levels, allowing the system to optimize the balance between security and convenience for each authentication scenario, thereby reducing both false acceptance and rejection rates
Solution Approach 2:
The system changes the authentication threshold parameter dynamically based on flow rate measurements. By adjusting the collation threshold according to the determined security levels of different areas, the system optimizes authentication strictness for each direction (entry/exit), achieving better balance between security and convenience compared to fixed thresholds
3Productivity
If automatic threshold changing is implemented, then administrative burden is reduced, but system complexity increases
Solution Approach 1:
The system divides the automatic threshold changing function into distinct modular components: a flow rate measurement unit that collects data, a security level determination unit that analyzes the data and determines security levels, and a threshold modification unit that adjusts authentication parameters. This segmentation manages system complexity by organizing functions into separate, manageable modules while achieving automatic operation
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.