Print Job Retention Control for Reusable Inspection Image Data
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Solution Overview
Problem
The existing printing systems face inefficiencies in managing storage of reference image data for scanning product inspection, leading to occupation of storage space due to the time-consuming nature of generating and saving this data, and existing deletion techniques may inadvertently delete data not intended for removal.
Innovation Solution
An image processing apparatus that analyzes printing jobs to determine the possibility of reuse and applies storage control information to prioritize the continuous saving of relevant jobs, while strategically deleting less important data to optimize storage usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reference image data is saved for scanning product inspection, then inspection quality is improved, but storage space is occupied
Solution Approach 1:
The system changes the parameter of data retention by introducing priority levels (high/low) for printing jobs. High-priority jobs maintain their reference image data indefinitely, while low-priority jobs have their data deleted after a predetermined period, thus managing storage space while preserving inspection quality for important jobs.
Solution Approach 2:
The system selectively discards reference image data for low-priority printing jobs after a predetermined period while maintaining data for high-priority jobs. This selective discarding approach optimizes storage space usage while preserving necessary inspection data for jobs that are likely to be reused.
2Productivity
If printing jobs are continuously saved for reuse, then productivity is improved, but storage space is occupied
Solution Approach 1:
The system applies different retention parameters to printing jobs based on their priority classification. High-priority jobs are retained continuously to maximize reuse efficiency, while low-priority jobs are retained only for a predetermined period, thus balancing productivity improvement with storage space management.
3Volume of stationary object
If automatic deletion of reference image data is implemented, then storage space is optimized, but important data may be deleted
Solution Approach 1:
The system applies different deletion policies to different subsets of reference image data based on the priority of their associated printing jobs. High-priority jobs are exempt from automatic deletion, while low-priority jobs are subject to time-based deletion, thus optimizing storage space without deleting important data.
Solution Approach 2:
The system changes the deletion parameter from a uniform policy to a differentiated policy based on job priority. By assigning high or low priority to printing jobs, the system ensures that important data is retained while optimizing storage space through selective deletion of less important data.
Data Source
AI summary
An image processing apparatus analyzes an inputted printing job of a printed product, applies information indicating a possibility of reusing the printing job to the printing job, and performs control such that the printing job to which the information is applied is continuously saved into a saving unit even after execution of printing by the printing job. In the controlling, out of the printing jobs saved in the saving unit, the printing job that is determined based on the information is deleted.