Surface defect detection system for hollow blown containers

A technology for blow molding containers and defect detection, applied in the field of detection systems, can solve the problems of inconspicuous edge features, low efficiency and high missed detection rate of products, and achieve good detection results.

Inactive Publication Date: 2018-02-02
赵宝瀛
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  • Abstract
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Problems solved by technology

[0004] The purpose of the present invention is to detect the defects of blow-molded products with a large workload, low efficiency and high missed detection rate, and the automatic detection of product defects is urgently needed; in actual detection, the images of blow-molded products are extracted due to interference such as noise , which seriously affects the subsequent processing; there are small defects and the edge features of the product are not obvious, etc., a surface defect detection system for hollow blow molding containers is designed

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  • Surface defect detection system for hollow blown containers
  • Surface defect detection system for hollow blown containers

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Embodiment Construction

[0017] like figure 1 As shown, the hollow blow molding container surface defect detection system is composed of light source system, image acquisition system, image processing system, measurement and control software system and other parts. This system combines machine vision technology with image processing algorithms, uses Gaussian filter to remove interference, Sobel operator to obtain images with clear edge features, uses least square method to fit contour curves, and finally completes the program writing and detection on LabVIEW result. The light source system is low-angle ring light source and plane light. The image acquisition system uses a 1.3 million-pixel color CCD camera from Baumer Company, a 2 million-pixel color CCD camera from Basler Company, an image acquisition card from NI Company, and a through-beam laser sensor. The image processing system uses Advantech industrial computer. The measurement and control software system is based on the NI-IMAQ vision modul...

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Abstract

A detection system for surface defects of hollow blow molding containers. The system combines machine vision technology with image processing algorithms, uses Gaussian filter to remove interference, Sobel operator to obtain images with clear edge features, and uses least square method to fit contour curves. Finally, the program is written and detected on LabVIEW result. The image algorithm of the invention is stable, and has a good detection effect on most defects.

Description

Technical field [0001] The invention relates to a detection system, in particular to a detection system for surface defects of hollow blow molding containers. Background technique [0002] Blow molding products are widely used in the packaging of daily cleaning products, medicines, beverages, etc. At present, in addition to ensuring smooth installation of these products (such as the cooperation between the bottle mouth and the bottle cap), the requirements for their appearance are also getting higher and higher. The outer packaging of these fast-moving consumer goods is produced very quickly, and blow molding molds usually use one mold with multiple cavities. The traditional manual identification of the quality of blow-molded products not only wastes a lot of human resources, but also causes visual fatigue of the inspectors, which reduces the reliability of the inspection. Machine vision inspection is highly pertinent. As far as the silt in the mouth of the blow molding pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88
CPCG01N21/88
Inventor 赵宝瀛
Owner 赵宝瀛
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