Print Medium Identification via Spectroscopic Analysis
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Solution Overview
Problem
Existing printing technologies face difficulties in accurately determining the type of a new print medium and selecting the appropriate print mode, leading to suboptimal printing conditions due to lack of determination information for new media and insufficient options for existing media types.
Innovation Solution
A printing system utilizing a pre-trained machine learning model based on spectroscopic information of the unprinted area to identify the print medium type, providing auxiliary information for user specification, and allowing for retraining and updating of print profiles for unknown media.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a new medium is registered without determination information, then the medium can be added to the system, but it becomes difficult to link the new medium with an appropriate print mode
Solution Approach 1:
The system performs preliminary determination of medium type using spectroscopic analysis before printing operations. By acquiring spectroscopic information from the unprinted area and comparing it with stored reference data, the system proactively identifies the medium type and selects appropriate print modes in advance, eliminating the information loss that occurs when new media are registered without determination information.
Solution Approach 2:
The patent introduces spectroscopic information as an intermediary to bridge the gap between new medium registration and print mode selection. The spectroscopic characteristics serve as a mediator that enables the system to automatically determine medium type and link it with appropriate print modes, even when the medium is newly registered without pre-existing determination information.
2Ease of operation
If existing medium types are selected without determination information, then medium selection is simplified, but it becomes difficult for users to select an appropriate existing medium type
Solution Approach 1:
The system implements feedback by comparing spectroscopic information of the loaded medium with reference spectroscopic data for various medium types. This feedback mechanism automatically identifies the most matching medium type and presents it to the user, maintaining ease of operation while significantly improving medium type identification accuracy. The user simply needs to confirm or adjust the automatically identified medium type.
Solution Approach 2:
The system performs self-service by automatically determining the medium type through spectroscopic analysis without requiring manual intervention. The system autonomously acquires spectroscopic information, compares it with reference data, identifies the medium type, and selects appropriate print modes, thereby maintaining ease of operation while achieving high identification accuracy.
3Ease of operation
If simple print mode selection is used for new media, then the system remains simple to operate, but printing quality is suboptimal due to lack of appropriate print conditions
Solution Approach 1:
The patent replaces manual print mode selection with an automated optical measurement system. Spectroscopic analysis automatically determines medium characteristics and selects appropriate print modes, substituting the mechanical/manual selection process with an automated scientific measurement approach. This maintains ease of operation while significantly improving printing quality through precise, data-driven print condition selection.
Solution Approach 2:
The system changes the parameter basis for print mode selection from manual user choice to objective spectroscopic measurements. By using spectroscopic information as the determining parameter, the system automatically selects print modes that match the actual medium characteristics, thereby improving printing quality while keeping the user interface simple and easy to operate.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate specification of print medium type, optimizing print conditions and facilitating the use of appropriate print modes for both new and existing media, improving printing quality and efficiency.
Implementation Method 1
a spectroscopic information acquisition unit acquiring the spectroscopic information of the unprinted area on the print medium to print on
Data Source
AI summary
For a plurality of types of print media, a pre-trained model is prepared, the pre-trained model being generated by machine learning based on spectroscopic information of an unprinted area on the print medium and an identifier indicating the type of the print medium and using the identifier as a trainer. The spectroscopic information of the unprinted area on the print medium to print on is acquired. The acquired spectroscopic information is applied to the pre-trained model. Using a result thereof, auxiliary information about the type of the print medium is outputted. A specification of the type of the print medium using the outputted auxiliary information is accepted. When the type of the print medium is thus specified, printing is performed using a print condition suitable for the print medium.