Authentication System Facial Image Database Management
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Solution Overview
Problem
Existing authentication systems face challenges in enhancing verification precision and reducing processing time, leading to increased risks of impersonation due to outdated facial image databases and memory overflow, which compromises security.
Innovation Solution
An authentication system that includes a camera for photographing facial images, a reader for obtaining identification information, and a management device that analyzes the facial images to determine authentication reliability and issues alarms when low reliability is detected, using a database that accumulates and manages facial images to prevent memory overflow and improve verification precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If facial images are continuously accumulated in the database, then the database size increases, but authentication precision deteriorates due to deviation between current and accumulated images
Solution Approach 1:
The system performs preliminary actions by deleting old facial images from the database before they cause authentication precision deterioration. The management device monitors database content and proactively removes images that would deviate from current facial features, preventing the precision deterioration rather than reacting after it occurs.
Solution Approach 2:
The system applies discarding by selectively removing old facial images from the database while maintaining useful recent images. This selective discarding prevents memory overflow and maintains authentication precision by ensuring the database contains only relevant, current facial data without compromising the ability to perform future authentications.
2Quantity of substance
If verification is performed against previously registered image data, then processing time increases as data increases, but verification precision cannot be enhanced
Solution Approach 1:
The system extracts only the necessary facial images from the database for verification purposes. Instead of performing verification against all previously registered image data, the management device selectively retrieves and uses only recent facial images that are relevant for current authentication, significantly reducing processing time while maintaining verification precision.
3Quantity of substance
If the database accumulates facial images without deletion, then memory overflow occurs, but authentication reliability decreases
Solution Approach 1:
The system performs preliminary deletion of facial images from the database before memory overflow occurs. The management device monitors database capacity and proactively removes old images when thresholds are approached, preventing both memory overflow and the reliability deterioration that would result from using outdated facial data for authentication.
Data Source
AI summary
It is provided an authentication system, comprising: a reader for obtaining identification information assigned to an identification device held by a subject; an authentication device for authenticating the identification information obtained by the reader; a camera for photographing a facial image of the subject; and a management device which is coupled to a terminal for issuing an alarm and which includes an image database in which the facial image photographed by the camera is accumulated, in which the management device is configured to: search the image database by using information obtained by at least one of the reader and the camera on an occasion of the authentication; determine a reliability of the authentication based on a result of analyzing the retrieved facial image; and transmit data for issuing the alarm to the terminal in a case where it is determined that the reliability is low.