Image Inspection Device Reference Image Correction
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Solution Overview
Problem
Conventional image inspection devices require user visual confirmation for creating reference images, leading to oversight of abnormalities, resulting in unnecessary reprints and waste, as the user's visual confirmation is relied upon for determining image quality in proof mode, causing errors in inspection mode.
Innovation Solution
An image inspection device that compares images from proof and inspection modes, determines potential abnormalities, displays differences, allows user selection of normality or abnormality, and replaces reference images with inspection images to correct defects, thereby reducing the need for repeated reprints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If user visual confirmation is used to create reference images, then the reference image creation process is simple, but abnormalities may be overlooked leading to inspection errors
Solution Approach 1:
The system performs self-inspection by automatically comparing the reference image with inspection images to detect abnormalities. The image inspection device autonomously identifies differences without requiring manual visual confirmation, allowing the system to serve itself in detecting quality issues while maintaining operational simplicity.
Solution Approach 2:
The system implements feedback by comparing inspection images against the reference image and automatically identifying abnormalities. The comparison process provides continuous feedback on image quality, enabling the system to detect stains, misprints, and other defects automatically without human intervention in the detection process.
2Productivity
If reference image is used for inspection, then inspection efficiency is improved, but waste increases when reference image contains abnormalities
Solution Approach 1:
The system performs preliminary inspection by comparing the reference image with inspection images before final production runs. By detecting abnormalities in advance through automated comparison, the system prevents waste of materials that would occur if defective reference images were used for full production runs.
Solution Approach 2:
The patent replaces manual visual inspection with automated image comparison technology. This substitution eliminates human error in detecting reference image abnormalities, ensuring that defective reference images are identified and replaced before causing material waste through erroneous inspection results.
3Measurement precision
If automated image comparison is performed, then inspection accuracy is improved, but device complexity increases
Solution Approach 1:
The system uses digital copies of images for comparison rather than physical inspection. By creating and comparing digital representations of the reference image and inspection images, the system achieves high detection precision through straightforward pixel-by-pixel comparison algorithms, avoiding the need for complex physical inspection equipment.
Data Source
AI summary
An image inspection device inspects an inspection image obtained by reading a sheet. The image inspection device includes a hardware processor that: performs inspection by comparing the inspection image with a reference image that is obtained by reading the original image that is printed on the sheet; determines whether a possibility of abnormality exists in the reference image based on a difference between the reference image and the inspection image; displays a difference portion between the reference image and the inspection image when determining that the possibility of abnormality exists in the reference image; receives a selection of a normality or an abnormality for each of the reference image and the inspection image; and replaces the reference image with the inspection image when the abnormality is selected for the reference image and the normality is selected for the inspection image.