Information Processing Model for Inspection-Aware Printing Speed
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Solution Overview
Problem
There is a trade-off relationship between image quality and productivity in printing, where increasing print speed can lead to reduced image quality and increased waste due to fault detection, necessitating a method to optimize printing speed while maintaining quality.
Innovation Solution
An information processing system that utilizes a neural network model to estimate printing speed based on input information about the print job and printer, including inspection data, to predict and set an optimal printing speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If printing speed is increased to improve productivity, then productivity is improved, but image quality is reduced and fault detection rate increases
Solution Approach 1:
The system dynamically changes the printing speed parameter based on the detected image quality and fault rates. By adjusting the printing speed to an optimal value that maintains both productivity and image quality, the system resolves the contradiction between speed and quality without requiring a fixed trade-off.
Solution Approach 2:
The inspection apparatus provides feedback on image quality and fault detection results, which are then used to adjust the printing speed. This closed-loop control system allows the printing speed to be optimized in real-time based on actual performance, preventing both excessive speed that degrades quality and unnecessarily slow speed that reduces productivity.
2Productivity
If printing speed is increased to improve productivity, then productivity is improved, but waste sheets increase due to fault detection
Solution Approach 1:
The system optimizes the printing speed parameter to minimize waste sheets while maintaining productivity. By finding the optimal speed range where fault detection rate is minimized, the system reduces the number of waste sheets without sacrificing overall production output.
Solution Approach 2:
The inspection results provide feedback on fault detection that directly influences printing speed adjustments. When fault rates increase indicating potential quality issues, the system slows down printing speed to prevent generating additional waste sheets, thereby reducing overall material loss.
3Manufacturing precision
If inspection level is increased to improve image quality detection, then manufacturing precision is improved, but productivity is reduced
Solution Approach 1:
The system applies different inspection levels to different regions or aspects of the printed material. By focusing intensive inspection only where necessary rather than uniformly across all areas, the system maintains high detection accuracy for critical defects while minimizing the overall inspection time and its impact on productivity.
Data Source
AI summary
An information processing system includes: a processor configured to: when new input information including information on a new print job or information on a printer is input to a model, output a printing speed of the new print job, wherein the model has been learned such that a printing speed of a print job is output when input information including information on the print job or information on the printer including an inspection apparatus inspecting a printed material printed in the print job is input to the model.


