Inspection Apparatus Selective High-Precision Positioning Printed Product
Solution Overview
Problem
Conventional inspection methods for printed products require extensive high-precision positioning processing, which is computationally intensive and slows down the inspection speed, even when high-precision processing is not necessary.
Innovation Solution
An inspection apparatus that performs low-precision positioning initially and selectively applies high-precision positioning only to image defect candidate areas, optimizing processing speed by reducing unnecessary calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-precision positioning processing is performed on all areas, then positioning accuracy is improved, but processing time increases
Solution Approach 1:
The patent applies different precision levels of positioning processing to different areas based on their specific needs. Image defect candidate areas undergo high-precision positioning processing to ensure accurate detection, while non-candidate areas use low-precision positioning processing. This localized differentiation maintains necessary positioning accuracy while reducing overall processing time and computational load.
Solution Approach 2:
The patent divides the image into multiple areas and processes them differently. By segmenting the image into image defect candidate areas and non-candidate areas, the system can apply appropriate positioning precision to each segment, avoiding unnecessary high-precision processing in areas where it is not needed.
2Productivity
If low-precision positioning processing is used for all areas, then processing speed is improved, but positioning accuracy deteriorates
Solution Approach 1:
The patent implements local quality by assigning different positioning precision levels to different image areas. Non-candidate areas use low-precision positioning for speed, while candidate areas use high-precision positioning for accuracy, creating a differentiated processing strategy that optimizes both speed and accuracy where needed.
Solution Approach 2:
The patent applies high-precision positioning processing only partially, specifically only to image defect candidate areas rather than the entire image. This partial application of high-precision processing maintains productivity by avoiding excessive processing in non-critical areas while ensuring accuracy where defects are suspected.
3Reliability
If high-precision positioning processing is applied to all areas, then detection accuracy is improved, but computational load increases
Solution Approach 1:
The patent applies high computational resources and high-precision positioning algorithms only to image defect candidate areas where they are most needed for accurate detection. Non-candidate areas use computationally lighter low-precision positioning, significantly reducing overall computational load while maintaining detection accuracy in critical areas.
Solution Approach 2:
The patent uses high-precision positioning processing only when necessary, specifically for image defect candidate areas. This partial application avoids the excessive computational burden of applying high-precision processing to the entire image while ensuring reliable detection in areas where defects are likely to occur.
Data Source
AI summary
An inspection apparatus inspects a printed product by positioning a reading target image of the printed product relative to a reference image and collating the reading target image with the reference image includes a positioning unit configured to perform positioning processing for the reference image and the reading target image with a first precision, and a detection unit configured to detect an image defect candidate area by collating the reading target image with the reference image, which have been positioned by the positioning unit. The positioning unit newly performs the positioning processing for the reference image and the reading target image in the image defect candidate area with a second precision that is higher than the first precision. The detection unit detects an image defect by collating the reading target image with the reference image in an area having been newly subjected to the positioning processing using the second precision.