Authentication Guidance Frames for Face and Object Positioning
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Solution Overview
Problem
Existing authentication systems for IC cards with facial image data encryption face challenges in guiding users to correctly position both their living faces and non-living target objects within camera frames for effective image capture and verification.
Innovation Solution
An information processing apparatus equipped with a camera, monitor, and near field communicator that displays guiding frames for users to position their faces and objects correctly, analyzes image data, and instructs users to reposition if necessary, while performing near field communication to acquire and verify personal information from IC chips.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system captures images for authentication, then personal information verification is enabled, but user guidance for correct positioning becomes complex
Solution Approach 1:
The guidance system is segmented into distinct visual frames: a first frame for guiding living face positioning and a second frame for guiding non-living object positioning. This segmentation allows the complex guidance task to be divided into manageable, visually distinct components that users can follow sequentially without overwhelming complexity.
Solution Approach 2:
Visual frames are introduced as intermediary elements between the camera and the user's actions. These frames serve as mediators that translate the abstract requirement of 'correct positioning' into concrete visual boundaries, making the authentication process more reliable without significantly increasing system complexity.
2Measurement precision
If the system provides real-time feedback for positioning, then image capture accuracy improves, but processing time increases
Solution Approach 1:
The system performs partial image processing by focusing only on determining whether subjects are within the guidance frames, rather than performing complete image analysis immediately. This partial action provides sufficient feedback for positioning accuracy while minimizing processing time, allowing users to adjust their positions efficiently.
3Adaptability or versatility
If the system supports both living face and non-living object capture, then authentication versatility improves, but system complexity increases
Solution Approach 1:
The camera system is designed with universal functionality to capture both living faces and non-living objects using the same hardware components. The guidance frames and image processing logic are configured to handle multiple authentication types, providing versatility without requiring separate dedicated systems for each authentication mode.
Data Source
AI summary
There is provided an information processing apparatus, comprising: a processor, configured to: receive image data from a camera; cause a display to display the image data while the image data is being received from the camera; cause the display to display a first frame to guide a user to place a living face of the user in a first predetermined shooting area of the camera; cause the display to display a second frame to guide a user to place a non-living target object in a second predetermined shooting area of the camera; instruct, in response to a determination that the living face is not placed as guided, the user to place the living face as guided; and instruct, in response to a determination that the target object is not placed as guided, the user to place the target object as guided.