Automated Document Processing via Geometric Trigger Zones
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Solution Overview
Problem
Current Automated Document Processing Systems (ADPSs) are limited in their ability to process electronic documents without specific constraints, failing to effectively handle both structured and unstructured sections, and require fixed conditions such as color depth, resolution, and interaction modes, which restricts their adaptability to diverse document types and formats.
Innovation Solution
A system comprising a precursor module for converting electronic documents into textual equivalents, a data ascertainment module for demarcating and separating structured sections, and a pass-receiving module for identifying and capturing business-relevant data within geometric regions using master and co-triggers, allowing for flexible processing of documents regardless of their type or format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If constraints are placed on document color configuration and format structure, then data extraction accuracy is improved, but system adaptability to diverse document types deteriorates
Solution Approach 1:
The system dynamically adjusts its processing approach based on the input document characteristics. The precursor module converts documents to textual equivalents, and the data ascertainment module dynamically identifies structured sections and potential zones without requiring pre-defined constraints on color configuration or format structure. This dynamic adaptation allows the system to maintain high data extraction accuracy across diverse document types including structured documents, unstructured documents, and composite documents.
Solution Approach 2:
The system employs a universal processing framework that handles multiple document types through common modules. The precursor module universally converts various document formats to textual equivalents, the data ascertainment module universally identifies structured sections, and the pass-receiving module universally captures business relevant data from potential zones. This multi-functional approach enables the system to process structured documents, unstructured documents, and composite documents with the same core architecture, achieving both accuracy and versatility.
2Reliability
If the system processes one document per cycle with fixed interaction mode, then processing reliability is improved, but productivity deteriorates
Solution Approach 1:
The system merges multiple document processing operations into a unified pipeline that maintains reliability while improving throughput. The precursor module, data ascertainment module, and pass-receiving module operate in sequence but are integrated into a single cohesive system that processes documents end-to-end without requiring separate fixed interaction modes for each document. This merging allows the system to process multiple documents through the same reliable pipeline, increasing productivity while maintaining processing reliability.
3Measurement precision
If the system requires specific color depth and resolution constraints, then grayscale coding accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system replaces mechanical constraints on document physical properties (color depth, resolution) with computational processing. Instead of requiring documents to meet specific grayscale coding requirements, the precursor module converts various document formats to textual equivalents using computational methods. The data ascertainment module then identifies structured sections and the pass-receiving module captures business relevant data through algorithmic analysis rather than physical document constraints. This substitution eliminates the need for users to prepare documents with specific color configurations, greatly improving ease of operation while maintaining processing accuracy.
Data Source
AI summary
In accordance with an aspect of the present invention, a system and method for automated processing of electronic documents is provided. The said system comprising a precursor module configured to receive an electronic document and convert into a textual equivalent; a data ascertainment module configured to identify the textual snippets, more particularly, the demarcated sections, corresponding to the at least one structured section and logically separate the demarcated sections the remaining textual equivalent; and, a pass-receiving module configured to receive said logically separated demarcated sections and the remaining textual equivalent and capture business relevant data committed therein, wherein said pass-receiving module captures the business relevant data from the demarcated sections by locating at least one master trigger and at least one proximate co-trigger in the demarcated sections and geometrically coupling said located triggers and co-triggers into at least one potential zone and extracting the business relevant data committed within these potential zones.