Display Panel Driver Frequency Control for Power and Touch Accuracy
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Solution Overview
Problem
Display devices face challenges in reducing power consumption, particularly in still image displays, where existing technologies do not efficiently adjust driving frequencies to minimize energy usage without compromising image quality or causing errors in touch recognition.
Innovation Solution
A display device with an image determiner that compares partial and full image data between frames to switch between low-frequency and normal driving modes, adjusting scan signal frequencies and delaying image output to conserve power while maintaining image integrity and touch recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If the driving frequency is decreased to reduce power consumption in still image display, then power consumption is reduced, but touch recognition accuracy deteriorates
Solution Approach 1:
The display device dynamically adjusts the driving frequency based on the display content. When a still image is detected, the device switches to a first driving frequency (lower frequency) to reduce power consumption. When movement is detected, it switches to a second driving frequency (higher frequency) to maintain touch recognition accuracy. This dynamic adaptation resolves the contradiction by applying different frequencies to different conditions.
Solution Approach 2:
The system changes the driving frequency parameter based on image analysis. By comparing current frame image data with previous frame image data, the system determines whether to use a lower frequency for still images or a higher frequency for moving images, thereby optimizing power consumption while maintaining functionality.
2Reliability
If the driving frequency is increased to maintain touch recognition in moving images, then touch recognition accuracy is maintained, but power consumption increases
Solution Approach 1:
The display device dynamically adjusts the driving frequency based on the display content. When a still image is detected, the device switches to a first driving frequency (lower frequency) to reduce power consumption. When movement is detected, it switches to a second driving frequency (higher frequency) to maintain touch recognition accuracy. This dynamic adaptation resolves the contradiction by applying different frequencies to different conditions.
Solution Approach 2:
The system changes the driving frequency parameter based on image analysis. By comparing current frame image data with previous frame image data, the system determines whether to use a lower frequency for still images or a higher frequency for moving images, thereby optimizing power consumption while maintaining functionality.
3Speed
If partial image data comparison is used for rapid mode switching, then mode switching speed is improved, but image quality comparison precision deteriorates
Solution Approach 1:
The system performs preliminary comparison of partial image data (first pixel lines) to quickly determine whether mode switching is needed. This preliminary action allows rapid detection of changes without immediately comparing the entire image. Only when differences are found does the system proceed to full frame comparison, thereby achieving fast response while maintaining accuracy.
Solution Approach 2:
The image data is segmented into multiple pixel lines. The system first compares only the first pixel lines (partial data) to determine if mode switching is necessary. This segmentation allows for quick, low-cost comparison that can trigger full comparison only when needed, resolving the contradiction between speed and precision.
4Measurement precision
If full frame comparison is performed to ensure accurate still image detection, then image quality comparison precision is improved, but processing time increases
Solution Approach 1:
The system performs preliminary comparison of partial image data (first pixel lines) to quickly determine whether mode switching is needed. This preliminary action allows rapid detection of changes without immediately comparing the entire image. Only when differences are found does the system proceed to full comparison, thereby achieving fast response while maintaining accuracy.
Solution Approach 2:
The image data is segmented into multiple pixel lines. The system first compares only the first pixel lines (partial data) to determine if mode switching is necessary. This segmentation allows for quick, low-cost comparison that can trigger full comparison only when needed, resolving the contradiction between speed and precision.
Data Source
AI summary
A display device including: an image determiner configured to determine whether a still image is displayed by comparing first partial image data that is a portion of image data of a previous frame with second partial image data that is a portion of image data of a current frame at a first time of a first mode in which a non-moving image is displayed, and determine whether the still image is displayed by comparing first frame data that is all image data of a previous frame with second frame data that is all image data of a current frame at a second time of a second mode in which a moving image is displayed; a display panel including pixels that receive a data signal corresponding to image data; and a panel driver configured to change a frequency at which the pixels are driven according to the first and second modes.