Information Processing for Page-Matched Print Quality Inspection
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Solution Overview
Problem
Existing systems fail to accurately inspect the printing quality of continuous printed materials when pages are missing or duplicated, leading to increased discarding of non-defective prints due to deviations in comparison relationships between normal and inspection images.
Innovation Solution
An information processing system that sets and matches normal page identification information with inspection page identification information to control the comparison relationship, using unused normal images to determine printing quality when mismatches occur, and adjusts discharge destinations based on inspection results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If normal images are selected and compared in sequential printing order, then the inspection process is simple and efficient, but printing quality inspection fails when pages are missing or duplicated
Solution Approach 1:
The system performs preliminary actions by storing multiple normal images in advance (normal image storage unit) and pre-establishing their correspondence with page numbers. When inspection is performed, the system can directly retrieve the appropriate normal image based on the page number detected in the inspection image, rather than sequentially searching for the correct comparison image. This preparation in advance enables reliable inspection even when pages are missing or duplicated.
Solution Approach 2:
The system introduces page number information as an intermediary element that mediates between the inspection image and the normal image for comparison. The page number detection unit extracts page numbers from inspection images, and this page number serves as a key to retrieve the corresponding normal image from storage. This intermediary mechanism ensures that the correct normal image is always used for comparison, maintaining inspection accuracy regardless of page sequence disruptions.
2Reliability
If the system discards printed materials with page mismatches, then inspection reliability improves, but unnecessary discarding of non-defective prints increases
Solution Approach 1:
The system stores multiple normal images in advance with their corresponding page numbers, creating a reference library before inspection begins. This preliminary preparation allows the system to accurately identify which normal image should be used for comparing each inspection image based on detected page numbers, rather than relying on sequential positioning. Consequently, the system can distinguish between genuine defects and legitimate variations, reducing unnecessary discarding of non-defective prints.
Solution Approach 2:
The system implements feedback by detecting page numbers in inspection images and using this information to dynamically select the appropriate normal image for comparison. The page number detection provides feedback about the actual content of each inspection image, allowing the system to adjust its comparison strategy accordingly. This feedback mechanism prevents false positives where non-defective prints are incorrectly identified as defective due to page sequence variations.
Data Source
AI summary
An information processing system includes a processor configured to determine, in a case where normal page identification information in one normal image selected in sequence from plural normal images matches inspection page identification information in an inspection image read from a printed material, a printing quality of the inspection image by using the one normal image, and determine, in a case where the normal page identification information in the one normal image does not match the inspection page identification information in the inspection image, and there is another unused normal image having the normal page identification information that matches the inspection page identification information, the printing quality of the inspection image, based on the other normal image.