Fragmented GPU Cores in Smart Displays for Deep Learning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional display technologies lack the ability to manage power efficiency and perform intelligent processing, as they simply present input information without any thought or management, leading to inefficient energy usage and limited functionality.
Innovation Solution
Integration of fragmented graphic cores and smart pixels within the display panel, utilizing micro-LEDs and embedded memory, allows for local processing and analytics, enabling features like object identification through deep learning and image enhancement, reducing the need for external processing and enhancing energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If display devices perform only basic presentation functions without intelligent processing, then device complexity is low, but power efficiency and functionality are limited
Solution Approach 1:
The patent divides the display device into multiple functional segments: traditional display elements for presentation and embedded fragmented graphic cores for intelligent processing. Each segment performs specialized functions, allowing the display to gain advanced capabilities while maintaining the simplicity of individual components. The fragmented graphic cores are distributed throughout the display structure, enabling localized processing without requiring a centralized complex processing unit.
Solution Approach 2:
The display device is designed to perform multiple functions: traditional display presentation and intelligent image processing. The fragmented graphic cores enable the display to act as both a presentation device and a processing unit, eliminating the need for separate external processing equipment. This multi-functionality allows the display to adapt to various applications including image enhancement, object identification, and real-time analytics.
2Use of energy by moving object
If display devices integrate intelligent processing capabilities, then power efficiency improves, but device complexity increases
Solution Approach 1:
The patent implements local processing capabilities by embedding fragmented graphic cores at specific locations within the display structure. Rather than adding a centralized complex processing unit that would consume significant power, the display performs intelligent processing locally at the pixel or pixel-block level. This local quality approach enables power-efficient processing by handling tasks close to where the data resides, reducing energy consumption for data transmission and processing.
Solution Approach 2:
The patent transitions from traditional two-dimensional display presentation to three-dimensional functional integration by embedding processing cores within the display structure. This dimensional change allows the display to perform intelligent processing in addition to presentation, creating a multi-functional device that improves power efficiency without requiring separate external processing systems.
3Power
If external processing is used for image analysis, then processing power is sufficient, but signal transmission requirements increase energy consumption
Solution Approach 1:
The patent extracts the essential processing functionality from external systems and embeds it directly within the display device through fragmented graphic cores. By taking out only the necessary processing capabilities needed for image analysis and embedding them locally, the system maintains sufficient processing power while eliminating the need for high-energy signal transmissions to external processors. This extraction approach keeps the most critical processing functions within the display structure.
Solution Approach 2:
The fragmented graphic cores act as intermediaries between the display elements and external processing systems. Instead of directly transmitting raw pixel data to external processors, the embedded cores perform preliminary intelligent processing locally, reducing the data volume and complexity of signals that need to be transmitted externally. This intermediary function significantly reduces energy consumption while maintaining adequate processing power for complex image analysis tasks.
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 enables displays to perform intelligent processing and analytics, such as object identification and image enhancement, while reducing energy consumption by minimizing signal transmissions and processing power, thereby making displays smarter and more efficient.
Implementation Method 1
Intensifying the light from the light emitting diodes (LEDs) to enhance the image
Data Source
AI summary
A smart display including one or more groups of smart pixels and at least one graphics engine. The at least one graphics engine is fragmented into GPU (graphics processing unit) minute cores. The GPU minute cores are distributed throughout the smart display. The smart pixels with distributed graphics within the smart display perform deep learning. Libraries stored on GPU minute core embedded memory are used to perform object identification using deep learning. The smart display monitors for pixel degradation and, if necessary, performs pixel enhancement.