Verification Apparatus for Print Image Half-Cut Position Accuracy
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Solution Overview
Problem
Conventional print verification systems cannot accurately determine the positional relationship of half-cuts or preprint images with respect to the print image, which is crucial for ensuring image quality, especially when half-cuts are peeled off, as they often exclude these features from the target region of image inspection.
Innovation Solution
A verification apparatus and method that sets feature points and reference regions on a print medium, extracts these points from read images, and specifies regions based on positional relationships, allowing for separate verification algorithms to assess the position of half-cuts and preprint images within the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If half-cut or preprint image is excluded from the target region of image inspection, then the verification apparatus can focus on inspecting the print image quality, but it becomes impossible to determine whether the half-cut or preprint image is at a correct position with respect to the print image
Solution Approach 1:
The verification apparatus divides the inspection process into two distinct algorithms: a first algorithm that inspects the print image quality in the second region, and a second algorithm that specifically inspects the positional relationship of half-cut or preprint images in the first region. This segmentation allows each algorithm to be optimized for its specific task, maintaining high inspection accuracy while capturing positional relationship information.
Solution Approach 2:
The apparatus applies different verification criteria to different regions of the sheet. The first region (containing half-cut or preprint images) is verified using a second algorithm that checks positional relationships, while the second region (print image area) is verified using a first algorithm that focuses on print quality. This local differentiation resolves the contradiction by ensuring each region is inspected according to its specific requirements.
2Reliability
If the position of the half-cut is largely shifted with respect to the print image, then the half-cut can be detected, but when the half-cut is peeled off, the shift of the image becomes significant, compromising image quality
Solution Approach 1:
The verification apparatus performs preliminary inspection of the half-cut or preprint image position before the actual printing process completes. By using the second algorithm to verify the positional relationship in the first region before finalizing the print job, the system can detect potential shifts early and prevent them from causing significant image quality issues when the half-cut is peeled off later.
Solution Approach 2:
The apparatus provides feedback on the positional relationship between half-cut/preprint images and the print image through the second algorithm. This feedback mechanism allows the system to identify and flag positional shifts that could lead to manufacturing precision issues, enabling corrective action before the problem manifests in the final product.
3Device complexity
If a single verification algorithm is used for the entire image, then the verification process is simple, but it cannot accurately verify both the print image quality and the positional relationship of half-cut or preprint images
Solution Approach 1:
The verification process is segmented into two distinct algorithms with clearly defined responsibilities. The first algorithm handles print image quality verification in the second region, while the second algorithm handles positional relationship verification in the first region. This segmentation increases verification accuracy by ensuring each aspect is properly inspected, while keeping the overall process manageable through clear division of labor.
Solution Approach 2:
The verification apparatus is designed with multi-functionality, incorporating both a first algorithm for print quality inspection and a second algorithm for positional relationship inspection within a single integrated system. This universal approach allows the apparatus to perform multiple verification tasks simultaneously, achieving high measurement precision without requiring separate independent systems.
Data Source
AI summary
A verification apparatus includes a controller to display a screen in which a reference image as a verification target image is user selectable, to set, based on user input and. on the displayed reference image, a feature point of the reference image, and a reference region of a predetermined pattern formed in advance on a recording medium on which the verification target image is to be formed, to extract the set feature point from a read image, to specify, based on a positional relationship between the feature point and the screen set reference region, from an image position of the extracted feature point, a first region on the read image, indicating a region where the predetermined pattern should have been formed, and a second region other than the first, and to perform verification for the first region by a first algorithm, and for the second region by a second algorithm.