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Printing device, machine learning device, and machine learning method

一种印刷装置、印刷介质的技术，应用在印刷装置领域，能够解决不容易等问题

Active Publication Date: 2020-08-07
SEIKO EPSON CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is not easy to set appropriate thresholds and other discrimination conditions for each type of printing media

Method used

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  • Printing device, machine learning device, and machine learning method
  • Printing device, machine learning device, and machine learning method
  • Printing device, machine learning device, and machine learning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] Here, embodiments of the present invention will be described in the following order.

[0031] (1) The structure of the printer:

[0032] (2) The structure of the machine learning device:

[0033] (3) Printing control processing:

[0034] (4) Other implementation methods:

[0035] (1) The structure of the printer:

[0036] figure 1 It is a block diagram showing the configuration of the printer 10 functioning as the printing device according to the embodiment of the present invention. The printer 10 includes a processor 20 including a CPU, RAM, etc., and a nonvolatile memory 30 , and various programs such as a print control program recorded in the nonvolatile memory 30 can be executed by the processor 20 .

[0037] The printer 10 according to this embodiment is an inkjet printer. The printer 10 includes a carriage 40 , an LED 43 , a communication unit 50 , and a transport mechanism 60 . The communication unit 50 includes a communication interface circuit for commun...

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PUM

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Abstract

The invention provides a printing device, a machine learning device, and a machine learning method, which can easily determine the type of printing medium. The printing device is provided with a storage part and a printing control part. The storage part stores a learned model. The learned model is a learned model in which machine learning is performed using teacher data in which at least one of reflectance of a print medium, transmittance of the print medium, and image data obtained by capturing an image of a surface of the print medium is associated with a type of the print medium. The printcontrol part determines the type of the print medium using the learned model and at least one of the reflectance of the print medium, the transmittance of the print medium, and image data obtained byimaging the surface of the print medium.

Description

technical field [0001] The invention relates to a printing device, a machine learning device, and a machine learning method. Background technique [0002] Conventionally, it is known to discriminate the type of printing medium based on the physical property value of the printing medium. For example, Patent Document 1 describes discriminating the type of a printing medium based on an amplitude spectrum for each spatial frequency calculated from image data obtained by scanning the surface of the printing medium. More specifically, it is described that the total number of frequencies whose amplitude spectra are equal to or greater than a certain value is calculated for each of the regions (DC region, low frequency region, and high frequency region) into which the spatial frequency region is divided, and the total number of frequencies in each region is compared. and the threshold value to distinguish the type of printing media. [0003] Patent Document 1: Japanese Patent Laid...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B41J2/01B41J29/393G06N20/00
CPCB41J2/01B41J29/393G06N20/00G06N3/08G06F3/1204G06F3/1208G06F3/1254G06K15/021G06N3/045G06F3/1285G06F3/1205
Inventor 鹿川祐一多津田哲男仓根治久浮田衡片山茂宪塚田和成
Owner SEIKO EPSON CORP