Print Defect Management via Automated Page Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for detecting and correcting image quality defects in print jobs are inefficient for large print jobs, requiring manual user interaction and resource wastage, as they either necessitate physical printing and scanning or manual review of each image.
Innovation Solution
A print defect management device that automatically assesses pages for image quality defects, generates rendered views of potential issues, and suggests corrections based on printer-specific data, allowing users to focus on severe defects and apply changes to ensure high-quality prints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of each image is performed to detect print defects, then image quality assessment accuracy is improved, but user effort and time consumption increase significantly
Solution Approach 1:
The system performs automatic self-assessment of image quality by analyzing print job data against printer defect models, eliminating the need for manual user review of each image while maintaining comprehensive defect detection across the entire print job
Solution Approach 2:
The manual mechanical review process is replaced with an automated computational system that uses algorithms to analyze image data, compare against printer characteristics, and identify potential defects without human intervention
2Measurement precision
If physical printing and scanning is performed to detect image quality defects, then defect detection accuracy is improved, but resource wastage increases
Solution Approach 1:
The system performs preliminary defect analysis by simulating printer output characteristics on digital images before actual printing occurs, allowing defects to be identified and corrected in the digital domain without consuming physical printing resources
Solution Approach 2:
Instead of creating physical print copies for inspection, the system generates virtual rendered views that replicate the appearance of printed output, allowing defect detection to occur in the digital realm and eliminating paper and printer resource consumption
3Reliability
If manual viewing of every image in a print job is required, then comprehensive quality assessment is improved, but productivity decreases
Solution Approach 1:
The system segments the print job into individual pages and images, automatically analyzing each segment against defect criteria, which maintains comprehensive coverage while enabling parallel processing and significantly improving throughput compared to sequential manual review
Solution Approach 2:
The system autonomously performs comprehensive quality assessment of all images without requiring user interaction for each page, maintaining thorough defect detection while eliminating the time bottleneck of manual review
Data Source
AI summary
A print defect management device that supports job-specific print defect management automatically assesses print job pages to determine the severity of image quality defects likely to occur on one or more selected printers. Views of identified troubled pages may be rendered to include approximations of color and image quality defects based on the original page image data, and each printer's color rendition data and defect data, thereby allowing troubled pages for one or more selected printers to be viewed prior to printing. Suggested changes may be automatically or manually applied. Once satisfied with the image quality of print job pages rendered for a specific printer, a user may submit the print job to the same printer, thereby assuring that the user's image quality expectations are met in the printed product. The device may support job-specific print defect management with both local and/or remote printers via LAN, WAN and/or Internet based connectivity.