Image File Generating Apparatus Automation
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Solution Overview
Problem
Current image forming apparatuses require manual user intervention to divide and name image files, leading to inefficiencies such as duplicated file names and increased difficulty in finding specific files, as they are often stored in the same folder.
Innovation Solution
An apparatus with an original document reader, dividing preferences input, and name preferences input that automatically generates a selected number of image files from an original document, allowing users to specify the number of files and file names, preventing duplication and allowing files to be stored in different folders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual division and naming of image files is performed, then user control over file organization is maintained, but work productivity decreases and efficiency is reduced
Solution Approach 1:
The image forming apparatus automatically divides the original document into a predetermined number of document sets and generates image files without requiring manual user intervention for division and naming. The system serves itself by autonomously organizing files based on user-specified parameters such as number of files, folder structure, and naming conventions.
Solution Approach 2:
The system performs preliminary actions by pre-defining the number of image files to generate and pre-creating the folder structure before the actual image file generation. This allows the system to be ready to organize files efficiently without requiring manual setup during the file creation process.
2Productivity
If automatic generation of image files is implemented, then productivity increases, but prevention of file name duplication becomes more challenging
Solution Approach 1:
The system incorporates feedback mechanisms to check for existing file names before generating new image files. If a duplicate file name is detected, the system automatically adjusts the naming by adding sequential numbers or modifying the file name to ensure uniqueness, thereby maintaining reliability while preserving automation.
3Ease of operation
If all image files are stored in the same folder, then storage organization is simplified, but difficulty in finding specific files increases
Solution Approach 1:
The system divides the storage structure into multiple folders based on the number of image files to be generated. Each folder can contain a specific set of image files, allowing users to navigate to the correct folder quickly without searching through a large single folder. This segmentation maintains ease of operation while reducing search difficulty.
4Ease of operation
If automated file generation with custom naming is implemented, then user efficiency enhances, but system complexity increases
Solution Approach 1:
The system allows users to input simple parameters such as the number of image files, desired folder names, and naming conventions. The system then processes these parameter changes to automatically generate the appropriate file structure and names. This approach enhances user efficiency without requiring complex system configurations, as the complexity is hidden within the parameter processing logic.
Data Source
AI summary
A disclosed image file generating apparatus includes an original document reader, a dividing preferences input, a name preferences input, and an image file generator. The original document reader converts an original document to original image data. The dividing preferences input inputs dividing preferences information, including divide number information specifying a number of originals to be included in each of a predetermined number of image files. The name preference input inputs name preferences information, including file name information specifying a file name to be assigned to each of the image files and file initial number information specifying an initial sequential number to be assigned to each of the image files. The image file generator generates the image files corresponding to the original image data according to the dividing preferences and the name preferences.