Face Recognition Visual Feedback System
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Solution Overview
Problem
Current face-recognition systems lack user feedback mechanisms, leading to increased energy consumption and reduced battery life due to prolonged waiting times for face identification, as users are unaware of the recognition process progress.
Innovation Solution
Implementing a face-recognition system that captures images using multiple cameras, displays the user's face, and provides real-time feedback through geometric shapes or dots indicating recognized features and algorithm progress, allowing users to maintain optimal positioning and reducing recognition time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If the face-recognition algorithm runs without user feedback, then the system structure remains simple, but the energy consumption increases and battery life decreases due to prolonged waiting times
Solution Approach 1:
The patent implements a feedback mechanism that displays visual indicators (geometric shapes, dots) showing the recognition progress and identified facial features to the user in real-time. This feedback allows users to understand the system status and adjust their positioning accordingly, reducing unnecessary processing time and energy consumption while maintaining acceptable system complexity
2Productivity
If the face-recognition algorithm processes continuously without feedback, then measurement precision may be maintained, but the recognition time increases leading to reduced productivity
Solution Approach 1:
By providing real-time visual feedback on recognition progress and identified features, the system enables users to make quick positioning adjustments, thereby reducing the overall waiting time and improving recognition throughput without sacrificing measurement precision
Solution Approach 2:
The system performs preliminary processing and displays intermediate results during the recognition process, allowing users to take preliminary positioning actions before the final recognition is complete, thus reducing total waiting time
Data Source
AI summary
One or more images including a user's face are captured, and at least one of these images is displayed to the user. These image(s) are used by a face-recognition algorithm to identify or recognize the face in the image(s). The face-recognition algorithm recognizes various features of the face and displays an indication of at least one of those features while performing the face-recognition algorithm. These indications of features can be, for example, dots displayed on the captured image. Additionally, an indication of progress of the face-recognition algorithm is displayed near the user's face. This indication of progress of the face-recognition algorithm can be, for example, a square or other geometric shape in which at least a portion of the user's face is located.


