Face Identification Apparatus Distance-Adaptive Infrared Illumination
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Solution Overview
Problem
Current face identification systems face high computing loads and power consumption, leading to system slowdowns and increased heat, which can result in low clock rate operations and hysteresis.
Innovation Solution
A face identification method and apparatus that perform distance detection to determine if the detected distance is below a threshold, adjusting infrared light luminance accordingly, capturing infrared light images, and performing face identification only when necessary, thereby reducing system load and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a central processing unit with high computing capability is adopted to handle continuous face identification, then the face identification accuracy and speed are improved, but the power consumption and heat generation increase significantly
Solution Approach 1:
The system performs face identification only at specific intervals when motion is detected, rather than continuously. The control unit activates the face identification function periodically based on motion detection events, reducing the overall computational load and power consumption while maintaining identification capability when needed.
Solution Approach 2:
The motion detection unit performs preliminary detection before triggering face identification. By detecting motion in advance and only then activating the full face identification process, the system avoids unnecessary high-computing operations when no face is present, thereby reducing power consumption and heat generation.
2Productivity
If a central processing unit with high computing capability is adopted to handle continuous face identification, then the face identification accuracy and speed are improved, but the system heat increases causing low clock rate operation
Solution Approach 1:
The system performs face identification only at specific intervals when motion is detected, rather than continuously. The control unit activates the face identification function periodically based on motion detection events, reducing the overall computational load and power consumption while maintaining identification capability when needed.
Solution Approach 2:
The motion detection unit performs preliminary detection before triggering face identification. By detecting motion in advance and only then activating the full face identification process, the system avoids unnecessary high-computing operations when no face is present, thereby reducing power consumption and heat generation.
3Loss of time
If continuous face identification is performed, then the response time to identify a user is improved, but the average computing load increases causing system hysteresis
Solution Approach 1:
The system performs face identification only at specific intervals when motion is detected, rather than continuously. The control unit activates the face identification function periodically based on motion detection events, reducing the overall computational load and power consumption while maintaining identification capability when needed.
Solution Approach 2:
The motion detection unit performs preliminary detection before triggering face identification. By detecting motion in advance and only then activating the full face identification process, the system avoids unnecessary high-computing operations when no face is present, thereby reducing power consumption and heat generation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively reduces the average computing load and power consumption of face identification systems, preventing over-temperature conditions and allowing for quicker completion of face identification tasks.
Implementation Method 1
emitting an infrared light according to the luminance; capturing an infrared light image
Data Source
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AI summary
A face identification method includes performing a distance detection to obtain a detected distance value (D); determining whether the detected distance value (D) is smaller than a distance threshold (T); when the detected distance value (D) is smaller than the distance threshold (T), determining a luminance corresponding to the detected distance value (D) and emitting an infrared light according to the luminance; capturing an infrared light image (Pir) and performing face identification to the infrared light image (Pir); and when the face identification is successful, performing a corresponding event. A face identification apparatus (100) configured to perform the face identification method is further provided.