Workflow Support Apparatus for Automated Document Classification
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Solution Overview
Problem
Existing workflow support systems require manual intervention to classify and attach documents to corresponding workflows, as they rely on pre-inserted recording media or QR codes, which is inefficient and prone to errors.
Innovation Solution
A workflow support apparatus that classifies documents from image data using OCR and machine learning, automatically searching for and attaching them to the appropriate workflows based on characteristic words and activation conditions, thereby streamlining the document classification and workflow activation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual intervention is used to classify and attach documents to workflows, then flexibility and control are maintained, but efficiency decreases and errors increase
Solution Approach 1:
The system enables self-service automation where the workflow support apparatus automatically classifies documents and attaches them to appropriate workflows without requiring manual intervention. The classification section processes documents autonomously using image data and the workflow searching section automatically identifies and attaches documents to correct workflows based on pre-defined criteria.
2Extent of automation
If recording media or QR codes are inserted into documents for automatic sorting, then automation is achieved, but device complexity and preparation requirements increase
Solution Approach 1:
The invention extracts and eliminates the need for recording media and QR codes from the document processing system. Instead of inserting physical or digital identifiers into documents, the system uses image data extraction and processing to achieve automatic document sorting and classification, thereby reducing device complexity while maintaining automation.
Solution Approach 2:
The system creates a digital copy of the document through image data acquisition and processing. This digital representation is then analyzed and classified without requiring any physical modification or insertion of recording media into the original document, simplifying the overall system complexity.
3Ease of operation
If pre-defined workflows are used, then workflow selection is simplified, but adaptability to unique document characteristics decreases
Solution Approach 1:
The workflow matching process is made dynamic through the workflow searching section that automatically selects appropriate workflows based on the specific characteristics of each document. The system adapts workflow selection to unique document characteristics by analyzing image data and matching it with suitable workflows, rather than using fixed pre-defined assignments.
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
Automates the document classification and workflow attachment process, reducing manual errors and increasing efficiency by accurately matching documents with relevant workflows using image analysis and scoring systems.
Implementation Method 1
a reading device that reads the original document
Implementation Method 2
a classification section that classifies a document included in the original document from image data acquired by reading the original document
Data Source
AI summary
A workflow support apparatus includes a classification section that classifies a document included in an original document from image data acquired by reading the original document, and a workflow searching section that searches for a workflow to which the document is to be attached, from the document classified by the classification section.