AMOLED TFT Mobility Detection Through Adaptive Frame Timing
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Solution Overview
Problem
The frame idle time in high-frame-rate displays is insufficient for real-time mobility detection of thin film transistors (TFTs) in active matrix organic light-emitting diode (AMOLED) devices.
Innovation Solution
Extend the frame idle time of selected frames by a predetermined increment time and reduce the idle time of other frames by a decrement time within an adjustment group of consecutive frames to ensure sufficient time for mobility detection, using a mobility detection apparatus and method that adjusts frame times based on the display device's frame rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the frame rate of the display screen is increased, then the display quality and smoothness are improved, but the frame idle time decreases and becomes insufficient for TFT mobility detection
Solution Approach 1:
The patent dynamically adjusts the frame idle time of specific frames within a group, making the display system flexible in time allocation. By selectively extending idle time for detection frames while maintaining normal idle time for other frames, the system adapts to high frame rate requirements while ensuring sufficient detection time.
Solution Approach 2:
The patent divides consecutive picture frames into groups and selects specific frames as detection frames for mobility detection. This segmentation allows the system to perform detection on selected frames without requiring all frames to have extended idle time, thus maintaining overall high frame rate while providing adequate detection opportunities.
2Measurement precision
If the frame idle time is extended to satisfy detection time requirements, then the TFT mobility detection can be performed accurately, but the overall frame rate of the display decreases
Solution Approach 1:
The patent segments the frame sequence into detection frames and non-detection frames. Only detection frames receive extended idle time for mobility detection, while other frames maintain normal timing. This selective approach ensures detection accuracy is achieved without requiring all frames to have extended idle time, thus preserving overall frame rate.
Solution Approach 2:
The system dynamically adjusts frame idle time based on the specific needs of each frame. Detection frames are identified and given extended idle time when needed, while other frames proceed with normal timing. This dynamic adjustment ensures detection accuracy is maintained while minimizing impact on overall frame rate.
Data Source
AI summary
A mobility detection method and apparatus, and a computer device are disclosed. The method includes: using a predetermined consecutive picture frames as an adjustment group, and setting a detection frame and an adjustment frame; extending a frame idle time of the detection frame, so that the frame idle time of the detection frame is correspondingly reduced; and performing mobility detection during the frame idle time of the detection frame. In this way, the current problem that the frame idle time does not satisfy the time required for the mobility detection when the frame rate is excessively high is resolved.