Image Evaluation System for Remote Maintenance
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Solution Overview
Problem
Existing image forming apparatuses face challenges in remotely and efficiently identifying user-perceived image quality issues and symptoms, as previous remote checks often fail to promptly address non-apparent problems, leading to extended downtime due to the need for additional part retrieval or ordering.
Innovation Solution
An image evaluation system comprising an image forming apparatus and an information processing apparatus that prints a reference document with a check region, allowing users to select perceived issues, which is then read and analyzed to transmit relevant image data for quality evaluation and symptom recognition, enabling simultaneous acquisition of image data and user-reported concerns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If remote image quality checking is performed using existing methods, then image quality evaluation can be conducted remotely, but user-perceived issues and symptoms cannot be promptly identified, leading to extended maintenance time
Solution Approach 1:
The system performs preliminary actions by printing a check sheet with check items before the maintenance visit, enabling users to conduct self-checks and report symptoms in advance. This preliminary information gathering allows the service provider to prepare appropriate parts and solutions before arriving at the user location, significantly reducing on-site maintenance time.
Solution Approach 2:
The check sheet serves as an intermediary tool between the user and the service provider. It facilitates the transmission of user-perceived issues and symptoms from the user to the service provider in a structured format, enabling accurate information transfer without requiring direct communication or technical expertise from the user.
2Measurement precision
If comprehensive check items are provided for user selection, then accurate symptom identification is possible, but the complexity of the evaluation system increases
Solution Approach 1:
The evaluation system is segmented into distinct components: a check sheet with multiple check items, a reading unit for capturing user selections, and a processing unit for analyzing the data. This segmentation allows the system to handle complex symptom identification through a simple, modular interface that users can easily interact with by simply marking check items.
Solution Approach 2:
The system uses a printed check sheet as a physical copy/interface that users can mark with checkmarks or other indicators. This simple physical copying mechanism translates user perceptions into structured data that can be read and processed, maintaining low complexity while achieving high measurement precision through the structured format of check items.
Data Source
AI summary
An image evaluation system includes an image forming apparatus and an information processing apparatus. The image forming apparatus prints a reference document including pattern images. The image forming apparatus prints, on the reference document, a check region including check items with respect to the image quality of the printed result. The image forming apparatus reads the printed reference document to generate reference document data. The image forming apparatus transmits the generated reference document data to the information processing apparatus. Based on the received reference document data, the information processing apparatus recognizes a check item selected in the check region.