Display Gain Calibration Using Camera Feedback for Luminance Drift
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Display devices, such as organic light emitting displays, face challenges in determining and adjusting gain values to compensate for decreased luminance due to degradation, as these values are set at shipment and difficult to modify post-installation.
Innovation Solution
A display system and method that includes a camera to capture images of the display device, a host to analyze luminance differences between fixed and content areas, and update gain values based on these differences, using a luminance analyzer to determine if compensation is insufficient or excessive, and a gain update unit to adjust the values accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If gain values are set at shipment time, then device complexity is reduced and manufacturing is simplified, but the ability to adapt to actual usage environment and compensate for degradation over time is lost
Solution Approach 1:
The system transitions from static gain values set at manufacture to dynamic gain values that can be automatically adjusted during operation. The host device periodically captures images, analyzes luminance differences between first and second areas, and updates gain values accordingly, enabling the display device to adapt to degradation and usage conditions over time.
Solution Approach 2:
The system implements a feedback mechanism where the host device captures images of the display device, analyzes the luminance distribution between different areas, and uses this information to adjust gain values. This closed-loop feedback enables continuous optimization of display performance compensation for light emitting element degradation.
2Stability of the object's composition
If gain values are fixed after shipment, then device stability is maintained and no additional configuration is needed, but the ability to compensate for luminance decrease due to degradation is insufficient
Solution Approach 1:
The system evolves from fixed gain values to dynamically adjustable gain values that respond to actual display conditions. The host device periodically updates gain values based on captured images and luminance analysis, maintaining optimal compensation performance throughout the device lifecycle while preserving stability through automated adjustments.
Solution Approach 2:
The display device performs self-diagnosis and self-adjustment by automatically capturing images, analyzing luminance differences between areas, and updating gain values without external intervention. This self-service capability ensures continuous accurate compensation for degradation while maintaining system stability.
3Device complexity
If manual adjustment of gain values is required, then device complexity remains low, but the ease of operation and user convenience is significantly reduced
Solution Approach 1:
The system eliminates manual user intervention by implementing automated self-adjustment. The host device automatically captures images, analyzes luminance characteristics, and updates gain values without requiring user knowledge or action, significantly improving ease of operation while maintaining acceptable device complexity through integration of camera and processing functions.
Solution Approach 2:
The automated feedback loop continuously monitors display performance by capturing images and analyzing luminance distribution, then automatically adjusts gain values without user involvement. This feedback mechanism transforms a complex manual adjustment process into an transparent automated operation, greatly enhancing user convenience.
4Device complexity
If gain values are not updated, then device complexity remains minimal, but display quality degradation is not compensated and power consumption cannot be optimized
Solution Approach 1:
The system implements automated feedback by capturing images of the display device, analyzing luminance differences between first and second areas, and using this information to update gain values. This feedback mechanism maintains display quality consistency and optimizes power consumption while introducing minimal additional complexity through integration of camera and processing functions.
Solution Approach 2:
The display device performs self-monitoring and self-optimization by automatically analyzing its own luminance characteristics and adjusting gain values without external intervention. This self-service approach maintains high display quality consistency and power efficiency while keeping the system relatively simple through autonomous operation.
Data Source
AI summary
A display system is disclosed that includes a display device, a camera, and a host. The display device includes a first area where a fixed pattern is displayed and a second area where content is displayed. The display device is configured to display an image in the first region and the second region by referring to a memory where a gain value is stored. The camera is configured to generate a captured image by capturing at least a part of the first region or at least a part of the second region around the first region and capturing an image of the display device that displays a high-grayscale image. The host is configured to receive the captured image and updates the gain value based on a luminance difference between the first area and the second area. According to the display system and a driving method thereof, it is possible to check whether a gain value of a display device is appropriate and to update the gain value.


