Image Data Media Selection Using Density-Based DRAM and NAND Storage
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Solution Overview
Problem
Existing memory systems lack an efficient method to select the appropriate memory media type for image data based on its attributes, leading to suboptimal utilization and resource inefficiencies.
Innovation Solution
A method and system that identifies attributes such as pixel quality and density of image data to determine the most suitable memory media type, such as DRAM or NAND, for storage, optimizing memory usage and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If image data is stored in high-density memory media like DRAM, then memory capacity and data retention are improved, but cost and power consumption increase
Solution Approach 1:
The patent applies local quality by analyzing specific attributes of image data (such as complexity, resolution, and importance) and storing different portions or types of image data in different memory media types. High-priority or high-resolution image data is stored in DRAM, while lower-priority data is stored in lower-density memory, thereby optimizing the balance between memory capacity utilization and power consumption.
2Quantity of substance
If image data is stored in high-density memory media like DRAM, then memory capacity and data retention are improved, but cost increases
Solution Approach 1:
The system evaluates attributes of image data and selectively stores different types of image data in different memory media. By identifying which image data requires high-density storage and which can use lower-density memory, the system reduces overall manufacturing costs while maintaining necessary memory capacity for critical data.
3Device complexity
If a single memory media type is used for all image data, then device complexity is reduced, but memory efficiency and resource utilization deteriorate
Solution Approach 1:
The patent changes the parameter of memory media type selection based on image data attributes. By dynamically selecting appropriate memory media (DRAM, NOR flash, NAND flash, etc.) based on characteristics such as image resolution, complexity, and access requirements, the system optimizes memory efficiency without requiring overly complex manual configuration.
4Productivity
If image data attributes are analyzed to select memory media type, then memory efficiency is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary analysis of image data attributes (such as resolution, complexity, and importance) at the time of data generation or ingestion. By determining the appropriate memory media type in advance based on these pre-analyzed attributes, the system achieves efficient memory allocation without requiring complex real-time decision-making or continuous monitoring mechanisms.
Data Source
AI summary
Systems, apparatuses, and methods related to media type selection for image data are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile) and can write data to the memory media types. Image data inputs can be written (e.g., stored) in a particular type of memory media characteristics. For instance, selection of memory media can be based on one or more attributes of the image data. In an example, a method can include receiving, by a memory system that comprises a plurality of memory media types, image data from a first image sensor of a plurality of image sensors, identifying one or more attributes of the image data, and writing, based at least in part on the one or more attributes of the image data, the image data to a first memory media type of the plurality of memory media types.