Facial Recognition Enrollment Profiles for Appearance Adaptation
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Solution Overview
Problem
Facial recognition systems struggle to adapt to changes in users' facial features over time, such as haircuts, weight changes, or aging, while maintaining security with multiple enrollment profiles for diverse appearances, which can lead to authentication failures.
Innovation Solution
The system allows for multiple enrollment profiles with separate template updates using parallel processes, comparing captured images to each profile and updating templates if a matching score exceeds the unlock threshold, ensuring adaptation to changes while maintaining security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single enrollment profile is used for facial recognition, then the system is simple to manage, but it cannot adapt to changes in user appearance over time
Solution Approach 1:
The patent divides the facial recognition system into multiple enrollment profiles instead of using a single profile. Each profile stores templates for different appearances of the same user or different users. This segmentation allows the system to adapt to appearance changes by selecting the appropriate profile while keeping the overall structure manageable through organized separation of appearance variants.
2Adaptability or versatility
If multiple enrollment profiles are used to accommodate diverse appearances, then adaptability to appearance changes improves, but system complexity increases
Solution Approach 1:
The patent implements dynamic template updating within enrollment profiles. When a user successfully authenticates, the system automatically updates the templates in the matching profile with the current facial features. This dynamic adaptation allows the system to handle diverse appearances without requiring manual intervention or complex user configuration, reducing the perceived complexity while maintaining high adaptability.
3Reliability
If templates are updated frequently to track appearance changes, then authentication reliability improves, but processing time increases
Solution Approach 1:
The patent updates templates periodically based on successful authentication events rather than continuously or at fixed time intervals. Each successful authentication triggers a template update, allowing the system to adapt to appearance changes naturally as they occur in正常使用. This event-driven periodic updating maintains high authentication reliability while minimizing unnecessary processing time that would result from more frequent updates.
Data Source
AI summary
A facial recognition authentication on a device having a camera may operate with multiple enrollment profiles on the device. Multiple enrollment profiles may include separate profiles for different appearances of a user and/or separate profiles for different users authorized to use the device. The enrollment profiles may be generated using an enrollment process where the enrollment process is operated separately to generate each of the different enrollment profiles. During the facial recognition authentication process, a user may unlock the device by having a matching score for image(s) captured of the user that that exceeds an unlock threshold for at least one of the enrollment profiles. The user may have a matching score that exceeds the unlock threshold for multiple enrollment profiles. Each enrollment profile unlocks the device for the user may be updated using a template update process that operates independently for each enrollment profile.