Image Processing Apparatus Inspection Area Auto-Update
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing inspection systems require users to manually re-set inspection areas after document data modifications, leading to increased workload and inefficiency due to issues like corruption of text and background similarity in variable printing.
Innovation Solution
An image processing apparatus that automatically adjusts the inspection area based on modified document data by analyzing the drawing areas of objects and performing geometrical transformations to maintain the position relationship between objects, reducing the need for manual re-setting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual re-setting of inspection area is required after document data modification, then inspection accuracy can be maintained, but user workload increases and efficiency decreases
Solution Approach 1:
The inspection area setting is made self-updating by automatically detecting document data modifications and adjusting the inspection area accordingly. The system monitors changes in document data and autonomously updates the inspection area parameters, eliminating the need for manual re-setting while maintaining inspection accuracy.
Solution Approach 2:
The system implements a feedback mechanism where modifications to document data are detected and used to automatically adjust the inspection area. This closed-loop approach ensures that the inspection area remains accurate relative to the modified document data without requiring user intervention.
2Reliability
If inspection area is set based on original document data, then initial inspection can be performed, but subsequent modifications require complete re-setting which increases time consumption
Solution Approach 1:
The system performs preliminary detection of document data modifications and proactively updates the inspection area before new inspection operations are required. This advance preparation ensures that the inspection area is already correctly configured when needed, eliminating time loss.
Solution Approach 2:
The inspection area setting transitions from a static configuration to a dynamic one that automatically adapts to document data changes. The system continuously monitors and updates the inspection area parameters in response to modifications, maintaining relevance without requiring re-setting.
3Measurement precision
If OCR results are used to detect text corruption, then text accuracy can be improved, but background similarity reduces OCR accuracy
Solution Approach 1:
The system extracts and focuses inspection on specific areas defined by the inspection area parameters, separating the inspection task from the entire document. By concentrating on predefined regions, the system reduces the impact of background similarity interference and improves text recognition accuracy in the target areas.
Solution Approach 2:
The inspection approach transitions from global to local quality assessment by focusing on specific inspection areas rather than the entire document. This localized inspection strategy reduces the influence of similar background colors and patterns, improving OCR accuracy in the regions of interest.
Data Source
AI summary
An image processing apparatus includes one or more memories storing instructions, and one or more processors executing the instructions to obtain document data before printing, to set an inspection area that is an inspection target for an image represented by the obtained document data, to update, in a case when the document data is modified, the set inspection area based on the modified document data, and to generate, based on the modified document data, a reference image for inspection of a printed material.