Face Recognition Automatic Parameter Adjustment
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Solution Overview
Problem
Conventional face identification systems that perform automatic registration lack effective methods for correcting mistaken identifications, preventing data mixing, and handling duplicate registrations, which complicates user confirmation and dictionary maintenance.
Innovation Solution
A device control apparatus that includes a face identification processor, a registered information memory, a device environment information storage, and an interactive processor to simplify user interactions by acquiring face data, comparing it with preregistered data, and confirming identity through user confirmation, thereby setting device environment parameters accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic registration is implemented to improve convenience, then explicit registration operations are omitted, but identification errors cause data mixing and require complex correction methods
Solution Approach 1:
The system displays the identified person's information to the user and receives confirmation feedback. This feedback mechanism allows the system to verify identification accuracy and correct errors, resolving the contradiction between automatic registration convenience and identification reliability.
Solution Approach 2:
The system performs preliminary verification by displaying identification results before final registration. This preliminary action prevents erroneous data mixing by allowing user confirmation, thus maintaining reliability while preserving automatic registration convenience.
2Measurement precision
If automatic updating is performed to improve precision, then the system adapts to users automatically, but mistaken identifications cause data contamination
Solution Approach 1:
The confirmation mechanism provides feedback to verify identification precision before updating. This prevents mistaken identifications from contaminating the database, resolving the contradiction between automatic updating precision and data integrity.
Solution Approach 2:
The system prepares for potential identification errors by implementing a confirmation step before finalizing updates. This cushioning measure prevents data contamination while maintaining the benefits of automatic updating.
3Reliability
If security-focused identification is implemented, then personal identification accuracy is improved, but user confirmation operations become complex and time-consuming
Solution Approach 1:
The system extracts only the essential confirmation step from complex security procedures. By displaying key identification information and requesting simple user confirmation, it maintains identification accuracy while minimizing time loss.
Solution Approach 2:
Instead of requiring complex active confirmation, the system inverts the approach by presenting identification results for passive user verification. This reduces confirmation time while maintaining security-focused identification accuracy.
Data Source
AI summary
This is a system having a personal identification function to perform a registering operation not as an explicit one. The system simplifies the confirmation of an identification result thereby to improve dictionary updating conveniences. A device control apparatus is configured to include a face identification processor, a device setting unit and an interactive processor. The device control apparatus is configured to acquire personal data on the face image of a user, to identify a person matching the acquired personal data, by comparing the acquired personal data and registered personal dictionary data, to display the face image, as matching the identified person, at the registration time on the basis of the registered personal dictionary data, to receive such confirmation information from the user as to confirm whether or not the displayed person is identical to the user, and to set device environment parameters matching the confirmed person.