Image Forming Apparatus State Assessment From Before-After Images
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Solution Overview
Problem
Existing methods for generating information on the state of an image forming apparatus based on a single image may result in inaccurate state assessment due to insufficient data, leading to potential misdiagnosis or inefficiencies in maintenance.
Innovation Solution
An information processing system that utilizes both pre-action and post-action image information to generate state information by analyzing images formed before and after maintenance actions, allowing for more accurate diagnosis and maintenance decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If state information is generated based on only one image formed by the image forming apparatus, then the processing complexity is reduced, but the accuracy of the state information is lowered
Solution Approach 1:
The system captures a pre-action image before maintenance operations are performed on the image forming apparatus. This preliminary image serves as a baseline for comparison, allowing the system to detect changes caused by maintenance actions and improve the accuracy of state information without requiring complex real-time monitoring during maintenance.
Solution Approach 2:
The system generates state information by comparing post-action images with pre-action images. This feedback mechanism allows the system to evaluate the effectiveness of maintenance actions and continuously improve diagnostic accuracy by learning from the differences between before-and-after states of the apparatus.
2Reliability
If only one image is used for state assessment, then the data processing time is reduced, but the reliability of maintenance decisions is insufficient
Solution Approach 1:
The pre-action image is captured and stored before maintenance operations begin. This preliminary data collection eliminates the need for time-consuming data gathering during maintenance, allowing rapid comparison and analysis once the maintenance is complete, thereby improving reliability without significant time penalty.
Solution Approach 2:
The system creates a copy of the apparatus state in the form of a pre-action image. This digital copy serves as a reference that can be stored and compared later, enabling reliable maintenance decisions without requiring the original pre-maintenance conditions to be recreated or re-measured.
3Measurement precision
If multiple images are analyzed to improve diagnostic accuracy, then the state information accuracy is improved, but the system complexity increases
Solution Approach 1:
The diagnostic process is segmented into distinct phases: capturing a pre-action image before maintenance, performing maintenance operations, capturing a post-action image after maintenance, and comparing the two images. This segmentation simplifies the overall system by breaking down the complex task of multi-image analysis into manageable, sequential steps with clear boundaries.
Solution Approach 2:
The pre-action image serves as a prepared reference point that simplifies subsequent analysis. By having this baseline image ready before maintenance begins, the system avoids the complexity of coordinating multiple simultaneous measurements or reconstructing pre-maintenance states, reducing system complexity while maintaining diagnostic accuracy.
Data Source
AI summary
An information processing system includes: a processor configured to: acquire post-action image information that is information on a post-action image, which is an image formed by an image forming apparatus after an action is performed on the image forming apparatus by an action operator; acquire pre-action image information that is information on a pre-action image, which is an image formed by the image forming apparatus before the action is performed by the action operator; and generate state information that is information on a state of the image forming apparatus, based on the post-action image information and the pre-action image information.