Diagnosis Report Generation for Test Chart and User Image Data
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Solution Overview
Problem
Existing image diagnosis techniques require user effort to manually select between using read image data and processed data for generating diagnosis reports, increasing user burden.
Innovation Solution
An information processing system that automatically determines whether to include read image data in a diagnosis report based on predetermined print image data, incorporating an obtaining unit, diagnosis unit, and generation unit to generate reports with or without read image data accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the user manually selects between read image data and processed data for generating diagnosis reports, then the flexibility and adaptability of the diagnosis report generation is improved, but the user effort and operation complexity increases
Solution Approach 1:
The system automatically determines whether to include read image data or processed data in the diagnosis report by itself, without requiring user selection. The determination unit autonomously analyzes the print image data type and decides the appropriate data representation, making the system self-serving and eliminating manual user intervention while maintaining adaptability
Solution Approach 2:
The system performs preliminary classification of print image data into predetermined types (first type for defect detection, second type for other purposes) before generating the diagnosis report. This preliminary determination of data type enables the system to pre-decide which data representation to use, eliminating the need for user selection at report generation time
2Loss of information
If the diagnosis report always includes read image data, then the completeness of diagnostic information is improved, but the report size and information overload increases
Solution Approach 1:
The system applies different quality rules to different types of print image data. For first type data (defect detection), read image data is included to provide complete diagnostic information. For second type data (other purposes), processed data is used to reduce report size. This localized quality approach ensures information completeness where needed while reducing overall report volume
Solution Approach 2:
Instead of always including read image data (excessive action), the system selectively includes it only when necessary for defect detection purposes. For other print image data types, only processed data is included, providing partial but sufficient information while avoiding unnecessary data volume
Data Source
AI summary
The present disclosure provides a technique for reducing a user's effort regarding whether to display read image data in a diagnosis report. Print job information including at least part of a print job subjected to diagnosis, and diagnosis result information are obtained. It is determined whether the obtained diagnosis result information is information obtained by a test chart image diagnosis or by a user image diagnosis based on image type information included in the obtained print job information. If the read image data is test chart image data, read image data is obtained which was compared with reference image data in the test chart image diagnosis performed to obtain the obtained diagnosis result information, and a diagnosis report with the read image is generated. If the read image data is user image data, not test chart image data, a diagnosis report without the read image is generated.