Print Inspection Layout for Barcode Quiet Zone Accuracy
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Solution Overview
Problem
Existing print inspection systems struggle with inaccurate detection of defects in printed sheets, particularly when chromatic color components are present in the margin areas of barcodes and two-dimensional codes, leading to false negatives in quality inspection.
Innovation Solution
An inspection apparatus and method that performs dropout color processing selectively on character string areas while preserving margin areas around code images, ensuring accurate character and barcode recognition by maintaining a quiet zone, and using reference images for comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dropout color processing is applied to the entire read image to improve character recognition accuracy, then character recognition accuracy is improved, but false positive inspection results occur when chromatic color components are present in margin areas
Solution Approach 1:
The inspection apparatus divides the read image into multiple inspection areas: character string inspection areas where dropout color processing is applied to improve recognition accuracy, and code image inspection areas (margin areas) where dropout color processing is excluded to preserve chromatic color components for accurate margin inspection. This segmentation allows different processing strategies for different regions, resolving the contradiction between character recognition accuracy and inspection reliability.
Solution Approach 2:
Different image processing qualities are applied to different regions of the image. Character string areas receive dropout color processing (removal of chromatic components) optimized for recognition, while margin areas around codes preserve chromatic components for accurate inspection. This local differentiation enables each region to have the optimal processing quality for its specific inspection purpose.
2Measurement precision
If dropout color processing removes chromatic color components from the image, then character recognition is improved, but margin area inspection fails to detect unintended printing in chromatic margin areas
Solution Approach 1:
The inspection system segments the image processing into distinct zones: character string zones subjected to dropout color processing for enhanced recognition, and code margin zones where chromatic components are preserved for accurate detection of unintended printing. This spatial segmentation resolves the conflict between recognition improvement and margin inspection accuracy.
Solution Approach 2:
The inspection apparatus uses an intermediary mechanism (inspection area setting unit) that defines separate inspection areas with different processing rules. This intermediary structure allows the system to apply dropout color processing selectively to character areas while excluding code margin areas, thereby mediating between the competing requirements of recognition accuracy and margin inspection accuracy.
3Reliability
If the inspection apparatus inspects the entire image including margin areas, then comprehensive quality inspection is achieved, but false negative results occur when chromatic components in margins are incorrectly removed
Solution Approach 1:
The inspection apparatus segments the inspection process into character string inspection and code image inspection with different processing rules. By excluding margin areas from dropout color processing while maintaining comprehensive inspection coverage, the system achieves both comprehensive quality inspection and accurate margin area detection without false negatives.
Solution Approach 2:
Instead of applying dropout color processing uniformly to the entire image (excessive action), the system applies the processing only to character string areas (partial action). This partial application of the processing technique maintains inspection comprehensiveness while avoiding the harmful effects of removing chromatic components from margin areas where they are needed for accurate inspection.
Data Source
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AI summary
An inspection apparatus performs dropout color processing on a first inspection area set for an image generated by reading a print product and then performs first recognition processing on the first inspection area, and further performs second recognition processing on a second inspection area set for the image and then performs an inspection of whether sufficient margin areas are allocated on the second inspection area, without performing dropout color processing.