Web Server Setting Screen for Cloud Image Transmission
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Solution Overview
Problem
Users of multifunction peripherals (MFPs) face cumbersome operations when transmitting scanned image data to cloud services, as they need to repeatedly designate transmission destinations and set file names, which does not significantly improve the initial trouble of setting mentioned in previous techniques.
Innovation Solution
A Web server system that provides a setting screen for users to configure transmission settings for image data, stores these settings associated with the type of data, and reflects previous settings for similar data types, reducing the need for repetitive configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually set transmission destination and file name for each scanned image, then transmission accuracy is improved, but operation time increases
Solution Approach 1:
The system performs preliminary classification of scanned images by type (e.g., invoice, receipt, form) and automatically applies pre-configured transmission settings for each type. This preliminary action eliminates the need for users to manually set transmission destination and file_name for each image, reducing operation time while maintaining accurate transmission through type-based automation.
Solution Approach 2:
The system extracts text from scanned images using OCR and copies this extracted information to automatically populate file_name fields. By copying relevant text content from the image to the file_name, the system eliminates manual typing while ensuring accurate and meaningful file naming consistent with the image content.
2Ease of operation
If automatic file name generation using OCR is implemented, then operation complexity is reduced, but setting completeness deteriorates
Solution Approach 1:
The system segments the file_name setting process into multiple components: OCR extraction of text from images, automatic generation of base file_name, and optional user supplementation for additional metadata. This segmentation allows automatic OCR-based file_name generation to handle the core naming task while preserving the ability to add supplementary settings, thus reducing operation complexity without sacrificing setting completeness.
Solution Approach 2:
The system introduces an intermediary classification step that identifies image type (invoice, receipt, form, etc.) before applying specific file_name generation rules. This intermediary process mediates between simple automatic generation and complex manual settings by selecting appropriate automation strategies based on image type, reducing overall operation complexity while maintaining setting appropriateness.
Data Source
AI summary
To solve a troublesome setting operation required in transmitting image data to a cloud storage, a setting screen is provided in which a setting made by a user in the past for image data that is similar to the image data to be transmitted is reflected, when the user makes a setting for transmitting the image data to be transmitted to the cloud storage.


