Archive Validation System for Document Storage Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge is to manage storage space efficiently for electronic documents while ensuring data retention and retrieval, particularly for financial documents, as traditional methods require storing high-resolution images of papers, which consume significant storage space and may not be necessary for all documents.
Innovation Solution
An archive validation system that uses image quality and data storage metrics to determine retention parameters, allowing for the storage of critical document aspects as metadata or image data, enabling the recreation of documents from templates or image lift technology, thereby reducing storage needs and optimizing document retention based on legal, user, and geographical factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution images of all documents are stored, then document retrieval and recall accuracy is improved, but storage space requirements increase significantly
Solution Approach 1:
The patent extracts and stores only critical document elements (metadata, key data fields, essential image portions) rather than storing complete high-resolution document images. This selective extraction maintains retrieval accuracy for essential information while dramatically reducing storage space requirements.
Solution Approach 2:
The patent applies different quality levels to different parts of document storage: critical metadata and data fields are stored with high precision, while non-critical portions use lower resolution or are reconstructed on-demand. This local differentiation optimizes both retrieval accuracy and storage efficiency.
2Reliability
If complete document images are stored for all documents, then document recall capability is improved, but storage costs and management complexity increase
Solution Approach 1:
The patent segments document storage into multiple components: metadata, data fields, image portions, and reconstructed images. Each segment is stored and managed independently, allowing for more efficient storage strategies and reduced system complexity compared to storing complete document images as single units.
Solution Approach 2:
The patent performs preliminary processing of documents to extract and store critical elements (metadata, data fields, key image portions) in advance. This preliminary action enables faster retrieval and reduces the need to store and manage complete high-resolution images, thereby reducing storage system complexity.
3Reliability
If all document data is retained in high resolution, then data integrity for regulatory compliance is improved, but storage space and retrieval time increase
Solution Approach 1:
The patent performs preliminary extraction and storage of critical document elements (metadata, data fields, essential image portions) during the initial document ingestion phase. This preliminary action ensures data integrity for compliance while enabling faster retrieval times, as only essential elements need to be accessed rather than complete high-resolution images.
Data Source
AI summary
Embodiments of the invention include systems, methods, and computer-program products for archive validation and retention parameter determination for documents. The system may generate or receive image documents. Utilizing image quality and data storage metrics the system may trigger the purging and/or retention of documents in image and/or paper form. Furthermore, the system may identify a duration of storage, location of storage, and the like. Upon retention, the system may continually monitor the documents and store metadata associated with the use of the retained documents. This monitoring may identify a period for purging the document, efficiently allowing for physical or server space availability.