Imagery Management Engine Retention Policies
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Solution Overview
Problem
Imagery processing systems face challenges in managing large volumes of imagery data efficiently, leading to storage space issues due to the need to delete existing images to make room for new ones, without adequately prioritizing which images to retain based on relevance and operational requirements.
Innovation Solution
An imagery management engine generates relevancy metadata and determines retention priority values using active retention policies, which include rulesets applied to the metadata, to optimize data retention strategies and prioritize the storage of relevant imagery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If imagery processing systems store large volumes of imagery data, then the quantity of stored imagery increases, but storage space becomes insufficient and existing images must be deleted
Solution Approach 1:
The system changes the parameter of image retention by introducing relevancy scores and retention priority values. Instead of uniform retention or simple FIFO deletion, the system dynamically adjusts which images to keep based on their calculated priority, allowing maximum utilization of storage space while preserving valuable data.
Solution Approach 2:
The imagery management system automatically evaluates and prioritizes images without manual intervention. The system self-manages storage optimization by computing relevancy metadata, applying retention policies, and determining deletion priorities autonomously, reducing the need for manual storage management.
2Volume of stationary object
If imagery processing systems delete existing images to make room for new ones, then storage space is maintained, but relevant imagery may be lost
Solution Approach 1:
The system performs preliminary evaluation of image relevancy before deletion occurs. By computing relevancy metadata and retention priority values in advance, the system ensures that images with high operational value are identified and protected from deletion, while only low-priority images are candidates for removal.
Solution Approach 2:
The system uses retention policies and relevancy scoring as feedback mechanisms to guide deletion decisions. The feedback loop continuously evaluates image importance based on operational requirements, ensuring that deletion actions align with the need to maintain relevant imagery for future operations.
3Quantity of substance
If imagery processing systems retain all received imagery, then data completeness is maintained, but storage requirements increase significantly
Solution Approach 1:
The system applies different retention qualities to different images based on their local characteristics and relevancy. Instead of uniform retention, each image receives a customized retention priority based on its operational value, allowing the system to maintain high-quality retention of important images while reducing overall storage requirements through selective deletion of less valuable images.
4Device complexity
If imagery processing systems use simple storage management, then system complexity is reduced, but intelligence in prioritizing retention is lost
Solution Approach 1:
The system provides self-service intelligence by automatically computing relevancy metadata and applying retention policies without requiring complex manual configuration. The imagery management system autonomously adapts to operational requirements, providing intelligent prioritization while maintaining relatively simple operational interfaces.
Data Source
AI summary
At least one processor of a computing device may determine relevancy metadata associated with of images stored in an imagery processing system. The at least one processor may determine one or more active retention policies for the images based at least in part on the relevancy metadata, wherein the one or more active retention policies include one or more rulesets that are applied to the relevancy metadata. The at least one processor may determine retention priority values associated with the images stored in the imagery processing system based at least in part on the one or more active retention policies. The at least one processor may manage retention of the images in the imagery processing system based at least in part on the retention priority values associated with the images.