Under-Display Image Sensor Layout for Accurate Illuminance Sensing
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Solution Overview
Problem
Existing electronic devices face challenges in accurately obtaining illuminance data due to the interference of light emitted from the display area when the image sensor is positioned under the display, which affects the accuracy of brightness measurements.
Innovation Solution
The electronic device employs a dual-processor system, where a first processor handles image capture and a second processor, consuming less power, obtains illuminance data through specific pixels of the image sensor positioned under the display and wires, allowing for separate processing of brightness data while minimizing interference from display emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the image sensor is positioned under the display to enable selfie capture and ambient light detection, then the device integrates multiple functions in a compact form, but the display light emissions interfere with illuminance measurement accuracy
Solution Approach 1:
The patent segments the image sensor's pixel array into two distinct functional zones: a first area with pixels used exclusively for illuminance measurement and a second area with pixels used for image capture. This spatial segmentation allows the sensor to simultaneously perform both functions while preventing display light from contaminating the illuminance measurements, as the first area is positioned to receive only ambient light.
Solution Approach 2:
Different regions of the image sensor are assigned different functional qualities. The first area pixels are optimized for photometric measurement with characteristics suitable for accurate illuminance detection, while the second area pixels are optimized for image capture. This local differentiation of functional quality enables each region to excel at its specific task without compromising the other.
2Device complexity
If a single processor handles both image processing and illuminance data acquisition, then device complexity is reduced, but processing efficiency and power consumption increase
Solution Approach 1:
The processing system is segmented into two separate processors: a first processor dedicated to image processing tasks and a second processor dedicated to illuminance data acquisition and analysis. This functional segmentation allows each processor to specialize in its specific task, improving processing efficiency and reducing power consumption compared to a single general-purpose processor handling all tasks.
Solution Approach 2:
The image sensor itself serves multiple functions simultaneously - it acts as both an illuminance sensor for ambient light detection and a camera sensor for image capture. This multi-functionality is achieved through the dual-area pixel structure, where the sensor hardware performs both photometric measurement and imaging without requiring separate sensor components.
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
This approach enhances the accuracy of brightness measurements by distinguishing between illuminance values obtained from different areas of the image sensor, effectively reducing the impact of display light emissions and improving the device's ability to assess ambient brightness.
Implementation Method 1
obtain first illuminance data via a first pixels of the image sensor disposed under the first pixels of the display among a plurality of pixels of the image sensor
Data Source
AI summary
An electronic device is provided. The electronic device includes a window, a display, an image sensor, a first processor connected through a first electric path to the image sensor, and a second processor connected through a second electric path different from the first electric path to the image sensor.