Image Processing System Failure Reproduction via User Designation
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Solution Overview
Problem
Existing image processing systems fail to reliably extract and reproduce failure information from print data when users do not provide designated location and substance information, leading to incomplete failure analysis.
Innovation Solution
An image processing system that includes a processor to receive user-designated location and substance information about a failure in printed materials, extracts relevant parts from print data, and generates failure reproduction information for effective analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If print data is analyzed without user-designated failure location and substance information, then the system can process data automatically, but the failure extraction reliability is insufficient
Solution Approach 1:
The system incorporates user feedback by receiving location information and substance information designating the failure from the user. This feedback mechanism enables the processor to accurately identify and extract the failure portion from print data, significantly improving failure extraction reliability while maintaining ease of operation through intuitive user interface
Solution Approach 2:
The system segments the print data into multiple portions based on user-designated location information. By dividing the print data into specific regions and extracting only the relevant portions indicated by user input, the system achieves reliable failure extraction while reducing processing complexity and improving operational ease
2Manufacturing precision
If the system extracts failure information without user designation, then the processing is automated, but the failure reproduction accuracy is insufficient
Solution Approach 1:
The system performs preliminary action by receiving user designation of failure location and substance before extracting failure information. This preliminary user input guides the subsequent automated extraction process, ensuring high accuracy in failure reproduction while maintaining automation through structured processing flow
Solution Approach 2:
The system applies local quality by focusing the extraction process on specific portions of print data identified by user location information. Instead of processing the entire print data uniformly, the system concentrates resources on the designated failure regions, improving reproduction accuracy while maintaining automation through targeted processing
3Productivity
If the system processes complete print data, then all information is available, but the failure analysis efficiency is reduced
Solution Approach 1:
The system extracts only the necessary failure portions from the complete print data based on user-designated location and substance information. This extraction approach eliminates unnecessary data processing, significantly improving failure analysis efficiency while maintaining information completeness by ensuring all extracted data is relevant to the failure analysis
Solution Approach 2:
The system applies partial action by processing only the portions of print data that are necessary for failure analysis, as indicated by user designation. This partial processing approach improves efficiency by reducing the volume of data to be analyzed while maintaining sufficient information completeness for accurate failure reproduction and analysis
Data Source
AI summary
An image processing system includes a processor configured to: receive location information indicating an occurrence location of a failure that has occurred on a printed material and that is designated by a user and substance information indicating substance of the failure, the printed material being generated by printing based on print data; with reference to the received information, extract, from the print data, a part to be used for reproducing the failure; and generate failure reproduction information including the extracted part.