Digital Signage Frame Buffer Pixel Grouping for Image Sticking
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Solution Overview
Problem
Digital signage systems experience image sticking issues when displaying static images for extended periods, leading to consumer dissatisfaction and limited user engagement.
Innovation Solution
A digital signage system equipped with a human body detection sensor and controller that automatically minimizes image sticking by dividing the frame buffer into multiple areas and changing pixels to black based on detected human presence and distance, thereby adjusting the image sticking minimization mode without requiring user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If a static image is displayed on the digital signage for a long time, then the advertisement content can be effectively communicated to users, but an image sticking phenomenon occurs causing consumer dissatisfaction
Solution Approach 1:
The patent applies periodic action by sequentially selecting and activating different pixel groups (first pixel group, second pixel group, third pixel group) in alternating time periods. During each period, only a subset of pixels is updated while others remain static, creating a time-multiplexed display effect. This periodic switching prevents image sticking by ensuring no single pixel group is continuously updated, thereby maintaining long-term display stability without causing persistent residue images.
2Object-affected harmful factors
If the frame buffer is divided into multiple areas and pixels are changed to black to minimize image sticking, then image sticking is reduced, but image quality may be lowered
Solution Approach 1:
The patent implements dynamics by making the pixel group selection adaptive rather than fixed. The controller dynamically determines which pixel groups to activate based on detected human presence and distance. When a user is nearby, more pixel groups are activated to maintain high image quality. When no user is present or at a distance, fewer pixel groups are activated to reduce image sticking effects. This dynamic adjustment allows the system to optimize both image quality and image sticking prevention in real-time based on actual viewing conditions.
Solution Approach 2:
The patent applies local quality by dividing the display into different pixel groups with different update characteristics. Instead of uniformly updating all pixels or applying the same blackening treatment across the entire frame buffer, the system selectively applies different update patterns to different spatial regions (pixel groups). This allows certain areas to maintain higher quality while others are optimized for preventing image sticking, creating locally optimized display quality throughout the screen.
3Ease of operation
If automatic image sticking minimization is implemented without user settings, then user convenience is improved, but device complexity increases
Solution Approach 1:
The patent implements self-service by enabling the digital signage to automatically detect human presence and autonomously adjust its pixel group selection without requiring user configuration or intervention. The human body detection sensor continuously monitors the environment, and the controller automatically processes this information to determine the appropriate pixel group activation pattern. This self-service capability eliminates the need for manual settings while providing adaptive image sticking prevention, thereby improving user convenience despite the added sensing and control complexity.
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 solution effectively reduces image sticking, enhances user convenience by allowing automatic correction of static images, and minimizes consumer dissatisfaction by maintaining image quality and engagement without manual administrator intervention.
Implementation Method 1
The human body detection sensor detects motion of a human body and a distance between the digital signage and the human body
Data Source
AI summary
Digital signage according to an embodiment of the present invention includes: a display unit; a human body sensing sensor unit; and a control unit which controls the operation of the digital signage, wherein the human body sensing sensor unit senses a motion of a human body and the distance between the human body and the digital signage, and the control unit can control so as to divide a frame buffer of content according to a predetermined set value, and to change an arbitrary pixel in a region of the divided frame buffer to black.