Method for detecting register deviation based on machine vision register control system

A technology of machine vision and registration deviation, which is applied to the general parts of printing machinery, printing machines, electrical testing/monitoring, etc., can solve the problems of unusable printing plates and increase the cost of plate replacement, achieve intuitive visual inspection, and promote industry Technological progress, the effect of expanding the scope of application

Pending Publication Date: 2019-05-28
CHANGCHUN JIHAI OBSERVATION & CONTROL TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] However, if the printing factory upgrades the original photoelectric color mark registration control system to a machine vision registration control system, a large number of printing plates stored for many years

Method used

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  • Method for detecting register deviation based on machine vision register control system
  • Method for detecting register deviation based on machine vision register control system
  • Method for detecting register deviation based on machine vision register control system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] Embodiment 1 (rectangular photoelectric color scale)

[0037] 1) Set the camera of the machine vision registration control system so that the camera can obtain the image of the color mark area. For the rectangular photoelectric color mark, the image of the color mark area can contain two color marks before and after;

[0038] 2) The camera acquires the image of the color mark area, and recognizes the color mark of the previous color and the color mark of the current color according to the order of overprinting;

[0039] 3) According to the size parameters given by the color code, such as length l, height h, and the row pixel value n contained in the color code x and column pixel value n y , calculate the pixel equivalent k of the color scale area image x and k y ;

[0040]

[0041] 4) Identify the feature point coordinates (x 0 ,y 0 ), and at the same time identify the feature point coordinates (x', y') of the back-color color scale in the color scale area imag...

Embodiment 2

[0051] Embodiment 2 (circular image color scale)

[0052]1) Set the camera of the machine vision registration control system so that the camera can obtain the image of the color mark area. For the circular image color mark, the color mark area image can contain the color mark of the first color (equivalent to the color mark of the previous color) and the current color mark;

[0053] 2) The camera acquires the image of the color mark area, and recognizes the color mark of the previous color and the color mark of the current color according to the order of overprinting;

[0054] 3) According to the size value of each part of the color mark given during printing and plate making, such as the diameter of the circle 2r, according to the size parameter of the color mark and the row pixel value n contained in the color mark in the image x and column pixel value n y , calculate the pixel equivalent k of the color scale area image x and k y ;

[0055]

[0056] 4) Identify the f...

Embodiment 3

[0066] Embodiment 3 (dot matrix class image color scale)

[0067] 1) Set the camera of the machine vision registration control system so that the camera can acquire the image of the color mark area, and the color mark of the dot matrix image refers to the entire dot matrix area;

[0068] 2) The camera acquires the image of the color mark area, and recognizes the color mark of the previous color and the color mark of the current color according to the order of overprinting;

[0069] 3) According to the size values ​​of each part of the color mark given during printing and plate making, such as length l, height h and diameter 2r, according to the given color mark parameters and the row pixel value n contained in the color mark in the image x and column pixel value n y , to calculate the pixel equivalent k of the color scale area image x , k y

[0070] or

[0071] 4) Identify the feature point coordinates (x 0 ,y 0 ), and at the same time identify the feature point coo...

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PUM

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Abstract

The invention discloses a method for detecting register deviation based on a machine vision register control system, and belongs to the technical fields of printing, packaging and other automatic control of mechanical register and positioning. In order to be able to avoid the increase of the plate-making cost caused by upgrading of the system by using the register control system based on machine vision by photoelectric color codes under the condition of not changing an existing printing plate, machine vision and image processing technologies are utilized, according to the property that the color codes have standard sizes, an image pixel is converted into a pixel equivalent, the influence caused by image distortion is also considered, the equivalent has two values of width and height, an image pixel coordinate is taken as a reference system, the center of the color code of the front color is calculated, a visual inspection line is generated, a center standard position of the color codeof the rear color is obtained according to the standard distance of the color code, the calibration work of register deviation can be carried out by comparing the center standard position and actual position of the color code of the rear color, and the visual inspection line is displayed on a display screen and can be used for manual calibration.

Description

technical field [0001] The invention belongs to the technical field of automatic control of registration and positioning of printing, packaging and other machinery. Background technique [0002] When printing a color image, the image is divided into multiple printing plates (N) according to different colors, and printed on the printing material in sequence (such as figure 1 ). In order to ensure that an accurate and complete pattern can be formed after sequential printing, it is necessary to use color codes or marks to detect and control printing registration deviation or positioning. [0003] At present, there are two main categories of color scales used for registration deviation detection on gravure, flexo and other printing machines at home and abroad: [0004] The first type is photoelectric color scale: this type of color scale is usually rectangular, triangular, or trapezoidal, etc., and each set of color scales gives the shape, size, and distance between adjacent c...

Claims

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Application Information

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IPC IPC(8): G05B23/02B41F33/00
Inventor 孙海涛赵英伟沈磊
Owner CHANGCHUN JIHAI OBSERVATION & CONTROL TECH
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