Printing Inspection System Using Local Quality for Accuracy
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Solution Overview
Problem
In commercial printing, inspecting large-sized image data with high resolution increases the computational load, making it burdensome for users to set inspection accuracy for each region of a printed matter.
Innovation Solution
An information processing system that specifies regions in printing data based on setting information, generating instruction information to inspect certain regions with higher accuracy than others, thereby reducing user burden and optimizing inspection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution scanning is performed to inspect the entire surface of a printed matter with high accuracy, then inspection accuracy is improved, but computational load increases
Solution Approach 1:
The patent applies local quality by differentiating inspection accuracy across different regions of the printed matter. Critical regions such as variable data areas, barcode regions, and text areas are assigned high inspection accuracy, while non-critical regions like margins and fixed backgrounds use lower accuracy. This resolves the contradiction by maintaining high inspection accuracy where needed without applying it uniformly, thereby reducing overall computational load.
2Measurement precision
If the entire surface of a printed matter is inspected with high accuracy, then inspection accuracy is improved, but inspection time increases
Solution Approach 1:
The system divides the printed matter into multiple regions with different inspection accuracy levels. High accuracy inspection is applied only to critical regions containing variable data, barcodes, and text, while low accuracy inspection is applied to non-critical regions. This selective approach maintains high inspection accuracy for important areas while significantly reducing total inspection time.
3Measurement precision
If uniform high accuracy inspection is applied to all regions, then inspection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent implements local quality by automatically classifying regions into different accuracy levels based on their functional importance. The system identifies critical regions (variable data, barcodes, text) and assigns them high inspection accuracy, while non-critical regions receive lower accuracy inspection. This automated regional differentiation reduces device complexity compared to manual configuration while maintaining high inspection accuracy where needed.
Solution Approach 2:
The inspection system performs self-service by automatically analyzing the printed matter layout and determining appropriate inspection accuracy levels for each region without requiring manual user input. The system autonomously identifies critical regions and configures inspection parameters, thereby reducing device complexity and user burden while maintaining high inspection accuracy.
4Measurement precision
If high accuracy inspection is applied to all regions, then inspection accuracy is improved, but user burden for setting increases
Solution Approach 1:
The inspection system implements self-service by automatically analyzing the printing data and layout to determine appropriate inspection accuracy levels for each region. The system autonomously identifies critical areas such as variable data regions, barcode areas, and text regions, and configures high inspection accuracy for these areas without requiring manual user settings. This eliminates user burden while maintaining high inspection accuracy where needed.
Solution Approach 2:
The system introduces an intermediary processing layer that automatically translates printing data and layout information into inspection configuration parameters. This intermediary layer analyzes the document structure, identifies critical regions, and generates appropriate inspection accuracy settings, thereby eliminating the need for direct user configuration while ensuring high inspection accuracy for important areas.
Data Source
AI summary
An information processing system includes a processor configured to specify a first region in an image represented by printing data based on setting information for a printing process based on the printing data, and generate instruction information for an instruction to inspect the specified first region with inspection accuracy higher than inspection accuracy in a region other than the first region, as instruction information for an inspection device that inspects a result of the printing process.