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Transparent flexible packaging bag static detection method and system based on machine vision

A technology of machine vision and static detection, applied in neural learning methods, instruments, computer components, etc., can solve problems such as data volume and dimension growth, affecting computing efficiency and classification and recognition performance, so as to improve performance and reduce data processing Complexity, the effect of reducing computational complexity

Pending Publication Date: 2021-12-21
望知科技(深圳)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the existing machine vision defect detection methods are rigid objects with regular shape, solid surface, opaque and other characteristics, and due to the dependence of deep learning on data, the volume and dimension of data have grown exponentially , thus affecting the computational efficiency and classification recognition performance

Method used

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  • Transparent flexible packaging bag static detection method and system based on machine vision
  • Transparent flexible packaging bag static detection method and system based on machine vision
  • Transparent flexible packaging bag static detection method and system based on machine vision

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Experimental program
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Effect test

Embodiment 1

[0059] figure 1 based on figure 1 For the flow chart of the static detection method for transparent flexible packaging bags based on machine vision according to the present invention, the following will refer to figure 1 , to describe in detail the flow chart of the machine vision-based static detection method for transparent flexible packaging bags of the present invention.

[0060] First, in step 101, image acquisition and transformation.

[0061] In the embodiment of the present invention, the image is captured, and the image collected by the camera is converted into image data recognizable by the computer, and transmitted to the image processing and analysis unit.

[0062] In step 102, image processing and analysis based on machine vision.

[0063] In the embodiment of the present invention, image processing based on machine vision is performed on the input image data, including front and back side judgment, image preprocessing, segmentation processing, feature extraction...

Embodiment 2

[0133] The present invention also provides a static detection system for transparent flexible packaging bags based on machine vision, Figure 6 It is a schematic structural diagram of a static inspection system for transparent flexible packaging bags based on machine vision according to the present invention, such as Figure 6 As shown, the static inspection system for transparent flexible packaging bags based on machine vision of the present invention includes an image capture unit 61, an image processing and analysis unit 62, a defect detection and judgment unit 63, and a result output unit 64, wherein,

[0134] The image capturing unit 61 is responsible for capturing images, converting the captured images into computer-recognizable image data, and sending them to the image processing and analyzing unit 62 .

[0135] The image processing and analysis unit 62 performs image processing and analysis based on machine vision on the image sent by the image capture unit 61 , and se...

Embodiment 3

[0146] In one embodiment of the present invention, there is also provided a computer-readable storage medium, on which a computer program is stored, and when the computer program is running, it executes the method for static detection of transparent flexible packaging bags based on machine vision as described above. step.

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Abstract

A transparent flexible packaging bag static detection method based on machine vision comprises the following steps that front and back face judgment, image preprocessing, segmentation processing, feature extraction and analysis are conducted on an image based on machine vision, and feature parameter values of the image are obtained; according to the characteristic parameter value of the image, defect inspection is carried out, and a detection result is judged; the defect features are classified to obtain a defect judgment result; and the defect judgment result is displayed and output. The invention further provides a transparent flexible packaging bag static detection system based on machine vision, the optimal feature information is reserved while the calculation complexity is reduced, the precision loss is reduced, the performance of the detection classification task is improved, and the data processing complexity is reduced through detection. The storage space is saved, the detection and recognition speed is improved, and the precision and speed of production cost are reduced.

Description

technical field [0001] The invention relates to the technical field of machine vision image processing, in particular to a static detection method and system for transparent flexible packaging bags based on machine vision. Background technique [0002] Defect detection usually refers to the detection of product surface defects. Surface defect detection uses advanced machine vision detection technology to detect defects such as spots, pits, scratches, color differences, and defects on the product surface. [0003] In the prior art, more and more machine vision defect detection technologies are used for defect detection of packaging products and printed matter. Most of the existing machine vision defect detection methods are rigid objects with regular shape, solid surface, opaque and other characteristics, and due to the dependence of deep learning on data, the volume and dimension of data have grown exponentially , thus affecting the computational efficiency and classificati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/136G06T7/155G06T7/90G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T7/0002G06T7/136G06T7/155G06T7/90G06N3/084G06N3/045G06F18/2135G06F18/2411
Inventor 周卓楹
Owner 望知科技(深圳)有限公司
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