Image Formation Device Automatic Print Parameter Selection
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Solution Overview
Problem
Users of multifunction devices (MFPs) in stores face inconvenience due to the need for separate optimal settings of printing methods and parameters for document and image data, as these differ significantly.
Innovation Solution
An image formation device with a receiving section for content information from a network, a judgement section to categorize the content, and a specification section to automatically set appropriate printing methods and parameters based on the category, ensuring correct printing settings for either document or image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually set printing methods and parameters for different data categories, then printing quality can be optimized, but user convenience deteriorates
Solution Approach 1:
The printing system automatically identifies the category of print data (document or image) and selects appropriate printing methods and parameters without requiring user intervention. The system serves itself by autonomously making printing decisions based on data analysis, eliminating the need for users to manually configure settings while maintaining optimized print quality.
Solution Approach 2:
The system dynamically changes printing parameters (such as resolution, color mode, and print method) based on the automatically detected category of the print data. When image data is detected, parameters are adjusted to optimize image quality; when document data is detected, parameters are adjusted for text clarity, thereby achieving optimized printing quality without user input.
2Productivity
If separate optimal settings are implemented for document and image data, then printing effectiveness is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary classification of print data into categories (document or image) before the actual printing process. By pre-identifying the data category and pre-selecting appropriate printing parameters, the system prepares optimal settings in advance, enabling effective printing without requiring complex real-time decision-making or multiple configuration options during printing.
Solution Approach 2:
The printing system segments the print data processing into distinct categories (document data and image data), with dedicated processing paths for each type. This segmentation allows the system to apply category-specific printing methods and parameters, improving printing effectiveness for each data type while managing complexity through structured classification rather than handling all possibilities in a single complex framework.
Data Source
AI summary
There is provided an image formation device including: a receiving section, which receives content information of a printing object from a content recording server via a network; a judgement section, which judges a category of the received content information; a specification section, which specifies a printing method and printing parameter in accordance with the judged category; and a printing section, which prints the printing object with the printing method in accordance with the specified printing parameter.