Agnostic Image Digitizer for Legacy Database Compatibility
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Legacy databases face challenges in compatibility with non-digital document formats, leading to difficulties in extracting data and metadata, which hampers user experience and compliance filing processes, especially when submitting documents to regulatory authorities.
Innovation Solution
A system that digitizes documents from incompatible formats using optical character recognition (OCR) and converts them into a compatible format, utilizing a processor to populate databases and update statistical models for enhanced user experience and automated compliance filings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If legacy databases are used to store non-digital documents, then data extraction and compatibility issues arise, but replacing the database requires significant investment and certification from auditors and regulators
Solution Approach 1:
The patent introduces an image digitizer as an intermediary component that converts non-digital document formats into digital formats compatible with legacy databases. This mediator enables compatibility between diverse document formats and the existing database system without requiring database replacement, thus resolving the contradiction between adaptability and complexity
Solution Approach 2:
The system changes the format parameter of documents from non-digital to digital representations through image digitization. This parameter transformation allows the same legacy database to accommodate various document types without structural modification, achieving adaptability while maintaining system simplicity
2Productivity
If manual extraction of information from correspondences is performed, then accuracy can be maintained, but the process is burdensome and time-consuming
Solution Approach 1:
The patent implements automated image digitization and data extraction processes that handle compliance filing tasks independently without requiring manual intervention. The system self-processes document conversion and information extraction, significantly improving productivity while reducing operational burden
Solution Approach 2:
The system replaces manual information extraction with automated computational processes. Image digitization algorithms and data parsing mechanisms substitute for human labor in processing correspondences, enabling high-speed automated compliance filing while maintaining accuracy
3Adaptability or versatility
If documents are submitted in formats not compatible with legacy databases, then user experience is improved by allowing flexible document types, but data extraction becomes difficult
Solution Approach 1:
The image digitizer serves as a bridge between flexible document formats and the structured legacy database. It converts diverse input formats into a standardized digital representation that the database can process, preserving both format flexibility and data extractability
Solution Approach 2:
The system creates a digital copy or representation of the original document in a format compatible with the database. This copying process maintains the information content while transforming the format, allowing both the original document flexibility and the database compatibility to coexist
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
Extends the usable lifetime of legacy databases by facilitating the extraction and analysis of data and metadata, improving user experience, and automating compliance submissions by making documents compatible with modern databases, thus simplifying regulatory filing processes.
Implementation Method 1
A system that digitizes documents from incompatible formats using optical character recognition (OCR)
Data Source
AI summary
Methods for automating a submission of a compliance filing from an organization to a regulatory authority. Methods may include enhancing compatibility of a document submitted by an entity to an organization with the latter's database to facilitate automated submission of a compliance document. Methods may include receiving a populated document in a first format from the entity, using a processor to digitize the document into a digital format, such as bytes, and further into a second format, where the first format may not be compatible with the database and the second format may be compatible with the database. Methods may include updating the database with data from the document. Methods may include using the processor to run a statistical model to determine an appropriate compliance filing relating to change in information about the entity, to populate the compliance filing, and to submit the completed compliance filing with the regulatory authority.