Automated Workflow Parameter Selection for Scan Data Processing
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Solution Overview
Problem
Existing systems require users to manually input a workflow number for each scanning operation, which is time-consuming and prone to errors, leading to incorrect workflow execution.
Innovation Solution
A computer-readable storage medium that generates scan data, acquires feature data sets, selects appropriate workflow parameter sets based on selection criteria, and updates the selection criteria data to automate the workflow selection process, reducing the need for manual input and minimizing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual workflow number input is required for each scanning operation, then workflow selection flexibility is maintained, but user time consumption and error probability increase
Solution Approach 1:
The system performs automatic workflow parameter set selection based on feature data sets extracted from scan data, eliminating the need for manual user input. The processor automatically compares feature data against stored selection criteria and selects appropriate workflow parameters, making the system self-sufficient in workflow selection tasks.
Solution Approach 2:
Selection criteria data is pre-stored in the system, containing multiple workflow parameter sets and their corresponding feature data characteristics. This preliminary preparation enables rapid automatic selection during scanning operations without requiring real-time manual intervention or complex user decisions.
2Ease of operation
If manual workflow number input is required, then user control over workflow selection is maintained, but the complexity of the operation increases
Solution Approach 1:
The patent replaces manual mechanical input (user typing workflow numbers) with an automated information processing system. The processor extracts feature data from scan images, compares it against stored selection criteria, and automatically selects workflow parameters, substituting human操作 with computational processes.
Solution Approach 2:
Feature data sets serve as intermediaries between the scan data and workflow parameter selection. The system extracts meaningful features from images (such as document type, layout characteristics) and uses these as mediators to automatically determine appropriate workflow parameters, eliminating the need for direct user input of workflow numbers.
3Productivity
If automatic selection based on feature data is implemented, then user effort is reduced, but the system requires more complex processing capabilities
Solution Approach 1:
The system segments the workflow selection process into distinct components: feature extraction from scan data, comparison against stored selection criteria, and parameter set selection. This segmentation allows the processor to handle complex tasks through modular operations, improving efficiency while managing computational complexity through structured processing stages.
Data Source
AI summary
A non-transitory computer-readable storage medium stores computer-readable instructions for a processor to perform a first and second processes. The first process comprises: generating first scan data; acquiring a first feature data set indicating features of the first scan data; selecting using the first feature data set as input data, one or more of target workflow parameter sets according to a selection procedure based on selection criteria indicated by selection criteria data; and executing a process on the first scan data according to one of the selected one or more target workflow parameter sets. The second process comprises: acquiring a workflow parameter set; generating second scan data; acquiring a second feature data set indicating features of the second scan data; and updating the selection criteria data to add the workflow parameter set to the target workflow parameter sets and to reflect the second feature data set in the selection criteria data.