Display Image Processing Update for Grayscale Error Diagnosis
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Solution Overview
Problem
Display devices experience complex errors that are difficult to identify and repair, leading to increased maintenance time due to diverse and intricate causes of malfunctions.
Innovation Solution
The display device includes a processor that analyzes the grayscale ratio of a screen, updates the image processing algorithm if the ratio exceeds a threshold, and transmits log information to an external device, allowing for self-diagnosis and error correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the display device performs various functions (SNS, web surfing, OTT access, games, etc.), then the versatility and functionality of the device is improved, but the device complexity and difficulty of error identification increases
Solution Approach 1:
The display device automatically performs self-diagnosis by analyzing grayscale ratios in displayed images and identifies potential errors without requiring external intervention. The system monitors its own operation state and can autonomously detect abnormalities in image processing algorithms.
Solution Approach 2:
The system implements a feedback mechanism where the display device transmits log information including grayscale ratio data and operation state to an external device (such as a server or diagnostic system). This feedback loop enables remote monitoring and analysis of device performance, facilitating error identification and algorithm updates.
2Adaptability or versatility
If the display device provides various functions, then the functionality is improved, but the time required for repairing the device increases
Solution Approach 1:
The display device continuously monitors and logs operation state information, including grayscale ratios and image processing parameters, before errors occur. This preliminary data collection enables rapid error identification and diagnosis when issues arise, significantly reducing repair time by having diagnostic information ready in advance.
Solution Approach 2:
The system performs automatic self-diagnosis and can autonomously update image processing algorithms based on analyzed grayscale ratio data, reducing the need for manual intervention and technical support, thereby minimizing repair time and operational downtime.
3Ease of repair
If the display device stores and transmits detailed log information, then the ease of error reproduction is improved, but the loss of information and data management complexity increases
Solution Approach 1:
The display device extracts and transmits only specific critical log information related to image processing, such as grayscale ratio data and operation state parameters, rather than storing all possible device data. This selective extraction reduces data management burden while providing sufficient information for error reproduction and analysis.
Data Source
AI summary
A display device includes: a communication interface; a display; memory storing instructions; and at least one processor, wherein the instructions, when executed by the at least one processor individually or collectively, cause the display device to: based on receiving an image signal, obtain a screen corresponding to the image signal by using an image processing algorithm, identify a grayscale ratio within the screen, based on the grayscale ratio being greater than or equal to a threshold, update the image processing algorithm, reobtain a screen corresponding to the image signal by using the updated image processing algorithm, control the display to output the reobtained screen, and based on the grayscale ratio within the screen being greater than or equal to the threshold, control the communication interface to transmit log information including state information of the display device to an external device.