Image Acquisition Apparatus for Authentication with Dynamic Content Output
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Solution Overview
Problem
Existing face authentication systems may fail to acquire images that satisfy authentication conditions due to unclear timing of attention-calling displays and lack of consideration for face authentication in iris authentication and automatic photo studio techniques.
Innovation Solution
An image acquisition apparatus and method that continuously outputs content to an output unit until a set condition for successful authentication is met, ensuring a face image is captured and authenticated, using an image capture unit positioned to capture the person's face, and incorporating features like machine learning models to optimize content and authentication conditions based on user behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an attention-calling display is used to guide the person to face the camera, then the authentication accuracy is improved, but the display timing is unclear which may cause the display to end before a suitable image is acquired
Solution Approach 1:
The system continuously monitors image acquisition quality and uses this feedback to control the display duration. The display is maintained as long as authentication images are not sufficiently acquired, creating a closed-loop control system that adapts display timing based on real-time authentication progress.
Solution Approach 2:
The system pre-defines multiple authentication conditions (such as face detection, iris detection, image quality thresholds) that must be satisfied before ending the display. These conditions are established in advance to ensure the display continues long enough to capture suitable authentication images.
2Measurement precision
If the image capture unit continuously captures images to ensure authentication quality, then the authentication accuracy is improved, but the processing time and system complexity increase
Solution Approach 1:
The authentication process is divided into multiple independent evaluation stages, each checking specific conditions (face detection, iris detection, image quality). This segmentation allows the system to systematically evaluate multiple criteria without creating a monolithic complex process.
Solution Approach 2:
The system evaluates multiple authentication conditions beyond the minimum requirement, checking various image quality metrics and authentication parameters. This excessive evaluation ensures high authentication accuracy by considering more factors than strictly necessary, with the first satisfied condition determining the outcome.
Data Source
AI summary
An image acquisition apparatus includes an output control unit and an image acquisition unit. The output control unit causes an output unit to output a content. The image acquisition unit acquires an image generated by an image capture unit, the image includes a person and is an image for authentication. The image capture unit is located in a position where a face of the person can be captured when the person faces to the output unit. Further, the output control unit continues to cause the output unit to output the content until a first condition being set in order to make the authentication succeed is satisfied.