Display Background Control for Low-Light Face Biometric Capture
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Solution Overview
Problem
Existing electronic devices face challenges in accurately analyzing user health-related biological signals from captured images due to poor image quality, especially in backlit or dark environments, which affects the identification of skin color and landmark extraction, leading to reduced accuracy and reliability of analysis results.
Innovation Solution
An electronic device that adjusts its display to output a background image based on target luminance and color values, capturing images with improved user face regions to enhance the analysis of biological information such as blood flow and heartbeat, using a method that includes controlling display brightness and color to optimize image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the captured image is taken in backlit or dark environment, then the image capture can be performed in various lighting conditions, but the skin color identification accuracy deteriorates
Solution Approach 1:
The system performs preliminary actions by displaying a background image with optimized luminance and color values before capturing the user's face. This pre-conditioning of the lighting environment ensures that the subsequent captured image has sufficient contrast and quality for accurate skin color identification, regardless of ambient lighting conditions.
Solution Approach 2:
The system changes the luminance and color parameters of the displayed background image based on the ambient lighting conditions detected. By dynamically adjusting these parameters, the system optimizes the contrast between the user's face and background, ensuring accurate skin color extraction even in backlit or dark environments.
2Measurement precision
If the display luminance is increased to improve skin color visibility, then the image quality improves, but the energy consumption increases
Solution Approach 1:
The system dynamically adjusts the luminance parameter of the display based on ambient lighting conditions and skin color identification requirements. Instead of using fixed high luminance, the system optimizes the luminance level to achieve sufficient image quality while minimizing energy consumption.
Solution Approach 2:
The system uses feedback from skin color identification results and ambient light sensing to adjust display luminance. If the captured image quality is sufficient, the system reduces luminance to save energy. This closed-loop control ensures energy efficiency while maintaining image quality standards.
3Measurement precision
If the background image is adjusted to optimize skin color contrast, then the biological signal analysis accuracy improves, but the device complexity increases
Solution Approach 1:
The display serves multiple functions: it displays content to the user and simultaneously acts as a controlled light source for capturing skin color images. By utilizing the existing display hardware for dual purposes, the system avoids adding separate illumination devices, thereby maintaining simplicity while improving biological signal analysis accuracy.
Solution Approach 2:
The system adjusts the color and luminance parameters of the background image to optimize contrast for skin color extraction. These parameter adjustments are performed through software control of the display, avoiding hardware modifications and keeping the device structure simple while enhancing analysis accuracy.
Data Source
AI summary
An electronic device which comprises: a display; a memory which stores a background image; and at least one processor which identifies a first captured image is acquired, identifies a region of interest including a user's face from the first captured image; acquires skin color information corresponding to the user's face on the basis of the region of interest; acquires a brightness range of the display and a color range of a background image on the basis of the skin color information; controls the display to display a background image based on a target brightness value acquired and the brightness range and a target color value acquired based on the color range; and acquires biometric information based on a second captured image which includes the user face of the first captured image, being acquired after the background image is displayed.