Imaging Device and Method for Sensing Media Type

a technology of imaging device and media type, which is applied in the direction of digital output to print units, visual presentation using printers, instruments, etc., can solve the problems of difficult to locate and navigate paper setting menus, incorrectly setting media types, and difficult to correctly set media properties

Inactive Publication Date: 2016-02-11
LEXMARK INT INC
View PDF7 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Incorrectly setting media type is a well-documented problem for users of imaging devices, such as electrophotographic printers.
Setting media properties correctly is difficult for three primary reasons.
Second, paper setting menus are sometimes difficult to locate and navigate.
Third, classification of equivalent media is inconsistent.
Additionally, media moisture content and environmental factors may invalidate correctly chosen settings.
There are consequences to improperly selected media type settings.
Common failures related to improper media type settings include poor print quality, poor fusing, hot or cold offset, paper jams, media damage, component wear, and wrapping of the fuser by the media.
This leads to user dissatisfaction.
Prior art control schemes are limited in scope and are based upon an incomplete characterization of the media.
Such prior art systems still rely upon user input and lack a holistic approach.
However, the number of intrinsic property measurements required to adequately control an imaging device, such as an electrophotographic printer, without user input is prohibitive as this approach is neither cost nor space efficient and requires a large number of sensors.
Prior art sensing schemes have been incomplete because they have failed to measure some number intrinsic properties of the media needed to more accurately determine the media type.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Imaging Device and Method for Sensing Media Type
  • Imaging Device and Method for Sensing Media Type
  • Imaging Device and Method for Sensing Media Type

Examples

Experimental program
Comparison scheme
Effect test

case 2

[0114 illustrates the use of direct indirect measurement values and subsystem responses values for determining a second media set consisting of polyvinyl labels, cardstock—all weights, plain paper and lightweight media. Light paper is in the range of 60-75 g / m2 while plain paper is in the range of 75-120 g / m2 (combines standard and heavy plain paper). The measured variables for this case are: Temperature (X1), Relative Humidity (X2), Media Feed Motor Current (X3), Optical Average (X4) and Optical Deviation (X5).

TABLE 7Case 2 Media Type Determining Set - 4 Media TypesEquations Coefficients forMedia Type in Media SetPolyvinylPlainLightEquationLabelsCardstockPaperPaperVariables0.225062−1.424021.0697680.129193X1−0.156180.934353−0.54642−0.23175X2−0.357491.124621−0.30012−0.46701X3−0.234040.1427782.510928−2.41967X40.2477420.121015−2.161721.792964X50.013711−0.026110.213334−0.20093X1*X2−0.03757−0.14570.708307−0.52503X1*X30.029382−0.987021.502796−0.54515X1*X4−0.224861.111549−1.027790.141101X2...

case 3

[0116 represents a media set that would be important to corporate “office” usage: plain paper—all weights, bond paper, cardstock—all weights, polyvinyl labels—all thicknesses, paper labels—all thicknesses, envelopes—all types and transparencies. In this case an extra sensor type, a reflectance sensor has been added such that more information is available to the classifier algorithm to separate the greater number of media types in this case. In Table 8 below, an example of coefficients for each media type and the corresponding sensor term are given. As in the previous case, there is a separate equation for each media type. The number of terms is a function of the number of sensors whereas the number of equations is the number of media types to be classified. The variables (normalized) represent Temperature (X1), Relative Humidity (X2), Impedance Magnitude (X3), Impedance Phase (X4), Reflectance (X5), Optical transmission Average (X6), and Optical transmission variation (X7). Reflecta...

case 4

[0120 illustrates an imaging device which is designed to be useful for a wide variety of tasks. This system will classify the following paper types: plain paper light; plain paper standard; plain paper heavy; cardstock light; cardstock heavier weight—165-300 g / m2 (combined standard and heavy weight cardstock); glossy paper—all weights; paper labels—all thicknesses; polymer (vinyl) labels—all thicknesses; envelopes—all types; polymer signage; transparencies; and bond paper.

[0121]For Case 4 the training sensor set includes: Temperature (X1), Relative Humidity (X2), Impedance Magnitude (X3), Impedance Phase (X4), Reflectance (X5), Media Feed Motor Current (X6), Optical transmission Average (X7), and Optical transmission Variation (X8). As in earlier cases each media type to be classified has an equation. Here there are 165 terms in each equation and eleven equations in the media type determining equation set 40. These equations are broken into Table 10 and Table 11 due to the large num...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

An operational imaging device and method for sensing a media type in a predetermined media set using a predetermined set of media type determining equations solved using measured values for a set of N variables measured by an operational sensor set in the operational imaging device. The solution of the equation set determines a media type. After a media type is determined, one or more operational parameters of the imaging device is selected for processing of a sheet of the determined media type. The equation set is generated by a training system using a classifier training engine. A plurality of training data sets containing measured variable values for each media type is collected under various conditions by a training sensor set that measures the set of N variables. After generation, the media type determining equation set is stored in memory of the operational imaging device.

Description

CROSS REFERENCES TO RELATED APPLICATIONS[0001]This patent application is related to the U.S. patent application Ser. No. ______, filed June DAY, 2014, entitled “Imaging Device And Method For Determining Operating Parameters” (docket no. P611-US2) and assigned to the assignee of the present application.STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT[0002]None.REFERENCE TO SEQUENTIAL LISTING, ETC.[0003]None.BACKGROUND[0004]1. Field of the Disclosure[0005]The present disclosure relates generally to imaging devices, and, more particularly, to those systems and methods for sensing types or classes of media.[0006]2. Description of the Related Art[0007]Incorrectly setting media type is a well-documented problem for users of imaging devices, such as electrophotographic printers. Setting media properties correctly is difficult for three primary reasons. First, properly identifying media is a subjective decision. Second, paper setting menus are sometimes difficult to locate an...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(United States)
IPC IPC(8): H04N1/00G06K15/00G06K15/02G06K15/10G06K15/14
CPCH04N1/00724G06K15/021G06K15/14G06K15/102H04N2201/0081H04N1/00708H04N1/00729H04N2201/0094H04N2201/0082G06K15/4065H04N1/00681G03G15/5029G03G15/205G03G15/50
Inventor MURRELL, NIKO JAYWHITNEY, JULIE ANN GORDONBRADLEY, RYAN THOMASBAJAJ, NIKHIL
Owner LEXMARK INT INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products