Machine vision based full-automatic rotation printed product defect detection device

A defect detection and machine vision technology, which is applied in the field of automatic rotary printing product defect detection device, achieves the effect of short cycle, precise positioning and reduced movement

Inactive Publication Date: 2017-03-22
广州市申发机电有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The machine vision inspection system for defects in rotary printed products has the characteristics of fast accuracy, strong repeatability and high degree of automation, which greatly reduces the pressure of manual inspection of rotary printed products and solves many prob

Method used

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  • Machine vision based full-automatic rotation printed product defect detection device
  • Machine vision based full-automatic rotation printed product defect detection device
  • Machine vision based full-automatic rotation printed product defect detection device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment example 1

[0039] refer to Figure 6 1. Oval bottle printing defect detection: the light source 12 on the fixed frame is turned on to provide light to the linear CCD camera 10 . The feeding manipulator 1 clamps the oval bottle printed product and transfers it to the product clamping and rotating system 2 by the conveyor belt. The product clamping cylinder 14 pushes the top block 205 and the clamp 204 to jointly clamp the printed oval bottle to be tested. With the servo motor The rotation of the output shaft of 202 rotates, and the encoder 203 assembled on the output shaft of the servo motor 202 also rotates with the rotation of the output shaft of the servo motor 202, and moves synchronously with the printed elliptical bottle 13. The encoder 203 sends a pulse every time, Just control the exposure of the linear array CCD camera 10 once, the encoder 203 rotates once, and the linear array CCD camera 10 also completes the acquisition of an image at the same time, realizing the synchronizatio...

Embodiment example 2

[0041] refer to Figure 7 , Printing defect detection of printed special-shaped bottles: the light source 12 on the fixed frame is turned on to provide light to the linear CCD camera 10 . The feeding manipulator 1 clamps the printed special-shaped bottle and transfers it to the product clamping and rotating system 2 by the conveyor belt. The product clamping cylinder 14 pushes the top block 205 and the clamp 204 to clamp the printed special-shaped bottle to be inspected. With the servo The rotation of the output shaft of the motor 202 rotates, and the encoder 203 assembled on the output shaft of the servo motor 202 also rotates with the rotation of the output shaft of the servo motor 202, and moves synchronously with the printed special-shaped bottle 13. The encoder 203 sends a pulse every time , just control the line array CCD camera 10 to expose once, the encoder 203 rotates a circle, and the line array CCD camera 10 also completes the acquisition of an image at the same tim...

Embodiment example 3

[0043] refer to Figure 8 , Printing defect detection on the printed spherical surface: the light source 12 on the fixed frame is turned on to provide light to the linear CCD camera 10 . The feeding manipulator 1 clamps the printed spherical product and transfers it to the product clamping and rotating system 2 by the conveyor belt. The product clamping cylinder 14 pushes the top block 205 and the clamp 204 to jointly clamp the printed spherical product to be tested. With the servo The rotation of the output shaft of the motor 202 rotates, and the encoder 203 assembled on the output shaft of the servo motor 202 also rotates with the rotation of the output shaft of the servo motor 202, and moves synchronously with the spherical product 13. Every time the encoder 203 sends out a pulse, it controls The linear array CCD camera 10 exposes once, the encoder 203 rotates once, and the linear array CCD camera 10 also completes the acquisition of an image at the same time, realizing the...

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PUM

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Abstract

The invention discloses a machine vision based full-automatic rotation printed product defect detection device which comprises an industrial control computer, supporting facilities of the industrial control computer, an image defect detection software system, a signal transmission unit, an image collection unit, a loading manipulator system, an unloading manipulator system and a product clamping rotation system; the industrial control computer is electrically connected with the image collection unit through the signal transmission unit; the image collection unit is formed by combining an image collection processing card, a CCD industrial camera, an optical lens and a detection light source together; the signal transmission unit is formed by three parts including an I/O (input/output) card, a synchronous card and a rotary encoder; and the product clamping rotation system is mainly used for fixing a product and driving the product to rotate. The machine vision based full-automatic rotation printed product defect detection device has the characteristics of no contact, high detection precision, rapidness, accuracy, high repeatability and high automation degree, relieves the manual detection pressure, solves various problems in manual detection, improves the detection quality, and increases the detection speed.

Description

technical field [0001] The invention relates to a fully automatic defect detection device for rotary printed products based on machine vision, which belongs to the technical field of defect detection for rotary printed products, and in particular to a fully automatic defect detection device for rotary printed products based on machine vision. Background technique [0002] At present, the common defects of printed matter mainly include: flying ink, pinholes, color cast, missing printing, black spots, scratches, inaccurate registration, etc. So many defects are generally divided into two categories: shape defects and color defects. Defects such as flying ink, pinholes, missing prints, black spots, and scratches can be collectively classified as shape defects, and color casts are classified as color defects. When detecting, for shape defects, you don’t need to care about the color information, you only need to judge according to the pixel difference between the image to be det...

Claims

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Application Information

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IPC IPC(8): G01N21/898
CPCG01N21/898G01N2201/102G01N21/909B41F33/0036G01N21/952
Inventor 吴福富唐睿辛焓烽
Owner 广州市申发机电有限公司
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