Document Reading Condition Guidance Using Historical Success Rates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques for processing documents, where reading and generating electronic documents are performed continuously, lack efficiency and versatility due to limited document format analysis and repetitive processing.
Innovation Solution
An information processing system that includes a management server and an image reading device, which acquires a history of process conditions and results, calculates the success rate of these processes, and provides setting assistance to improve the efficiency and versatility by optimizing document reading conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If analysis is performed each time an electronic document is generated, then the process retrogression can be prevented, but the efficiency decreases due to repetitive processing
Solution Approach 1:
The system performs analysis in advance by calculating the degree of success for each process condition based on historical data, and stores this information for future reference. This preliminary analysis eliminates the need to perform the same analysis repeatedly, thereby preventing process retrogression while improving processing efficiency.
Solution Approach 2:
The system collects process results as feedback and uses this information to calculate the degree of success for different process conditions. This feedback mechanism enables the system to learn from past experiences and provide informed recommendations, preventing process retrogression without requiring repetitive full analysis.
2Reliability
If analysis is performed each time an electronic document is generated, then the process retrogression can be prevented, but the versatility decreases due to limited document format analysis
Solution Approach 1:
The system is designed to handle multiple document formats by implementing versatile process conditions that can accommodate different document types. The degree of success calculation is performed across various formats, enabling the system to provide reliable recommendations that are adaptable to diverse document formats rather than being limited to a single format.
Solution Approach 2:
The system adjusts process conditions based on the specific document format being analyzed. By changing parameters such as analysis depth, processing intensity, and condition selection based on document type, the system maintains high process success rates across different formats while avoiding repetitive full analysis, thus improving both reliability and versatility.
3Reliability
If detailed analysis is performed for each process, then the process success rate improves, but the processing time increases
Solution Approach 1:
The system performs detailed analysis in advance by calculating the degree of success for each process condition based on historical data and stores these results. When processing new documents, the system retrieves pre-calculated information rather than performing detailed analysis from scratch, thereby maintaining high process success rates while significantly reducing processing time.
Solution Approach 2:
Instead of performing complete detailed analysis for every process, the system uses partial analysis by leveraging pre-calculated degree of success information for relevant process conditions. This selective approach maintains reliability by focusing analysis on critical parameters while reducing overall processing time by avoiding redundant detailed examination of all parameters.
Data Source
AI summary
An information processing system includes one or more processors configured to: acquire a history of combinations of process conditions for a first process of reading a document and a process result of a second process for an electronic document generated through the first process; calculate a degree of success in the second process for each of the process conditions on the basis of the acquired history of combinations; and present, to a user, information for assisting the first process, the information including at least the degree of success for each of the process conditions.