Printing Abnormality Detection System with Necessity-Based Display
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Solution Overview
Problem
Current printing quality assessment methods, especially in large-scale printing like textile printing, are inefficient and prone to oversight due to the need for lengthy visual inspections, making it difficult to detect and handle printing failures effectively.
Innovation Solution
A printing abnormality detection system comprising a printer, a reader, a processing unit, a storage unit, and a display unit that prints images on a medium, reads the printed images, detects abnormal portions, and determines based on image data and display necessity criteria whether to display the abnormalities, thereby facilitating quick identification and handling of printing issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection is used to determine printing quality, then the user can directly observe printing abnormalities, but the inspection time becomes excessively long and oversight may occur
Solution Approach 1:
The patent replaces the mechanical visual inspection system with an automated optical reading system. The reader optically reads the printed image and transmits it to a processing unit that automatically compares the read image with original image data, eliminating the need for manual visual inspection while maintaining detection accuracy.
Solution Approach 2:
The patent creates a digital copy of the printed image by reading it with an optical reader. This copy is then processed and compared with the original image data through a processing unit, enabling automated quality assessment without requiring physical visual inspection of the original print.
2Reliability
If all printing results are inspected by visual inspection, then comprehensive quality check is achieved, but the process becomes inefficient for long and large print jobs
Solution Approach 1:
The patent replaces manual visual inspection with an automated reading and processing system that can rapidly analyze printed images without the time constraints of human inspection, thereby maintaining reliability while dramatically improving productivity for long print jobs.
Solution Approach 2:
The patent enables continuous quality inspection throughout the printing process by automatically reading and analyzing printed images as they are produced. The processing unit continuously compares read images with original data, providing ongoing quality assurance without interrupting the printing workflow.
3Productivity
If machine-based printing abnormality detection is implemented, then inspection speed is improved, but the system complexity increases
Solution Approach 1:
The patent replaces complex manual inspection processes with a streamlined automated system consisting of a reader and a processing unit. This substitution simplifies the overall process by eliminating the need for human operators while maintaining high detection speed through automated optical reading and digital image comparison.
4Reliability
If visual inspection is performed on all printing results, then no printing abnormalities are missed, but the burden of inspection becomes excessive
Solution Approach 1:
The patent replaces the burdensome manual visual inspection task with an automated reading and processing system that performs comprehensive abnormality detection without requiring human effort. The processing unit automatically compares read images with original data, ensuring complete detection while eliminating inspection burden.
Solution Approach 2:
The printing quality inspection system performs self-service by automatically reading, analyzing, and detecting abnormalities in printed images without human intervention. The processing unit independently compares read images with original image data and identifies printing abnormalities, making the system self-sufficient in quality assurance tasks.
Data Source
AI summary
A printing abnormality detection system includes a printer that prints an image on a printing medium based on image data, a reader that reads the image printed on the printing medium, a processing unit that detects an abnormal printed portion based on read image data from the reader, a storage unit that stores information of a display necessity determination criterion, and a display unit. The processing unit determines, based on the image data, the read image data, and the display necessity determination criterion, whether the abnormal printed portion is to be displayed on the display unit. When the processing unit determines that the abnormal printed portion is to be displayed, the processing unit executes a process of displaying, on the display unit, abnormal printed portion information including an image of the abnormal printed portion.