Detection system for appearance defect of glass bottle based on machine vision
A technology of appearance defects and machine vision, applied in the direction of instruments, measuring devices, scientific instruments, etc., can solve the problems of glass bottle surface stains, easy missed inspection, low efficiency, etc., to improve production efficiency and production quality, save labor costs, The effect of automated detection means
Inactive Publication Date: 2019-04-02
南京敏光视觉智能科技有限公司
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Problems solved by technology
However, the glass bottle is easy to break when it is subjected to a large force. In the glass bottle preparation process, the quality of the glass bottle is not only low in efficiency, but also easy to cause stains and damage on the surface of the glass bottle, and subtle defects are easy to miss. Therefore, More innovative designs are needed to improve detection efficiency and detection quality
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[0015] The present invention will be further described below in conjunction with the accompanying drawings.
[0016] At present, in the glass bottle preparation process, the quality of the glass bottle is manually inspected, which is not only inefficient, but also easily causes stains and damage on the surface of the glass bottle, and subtle defects are easily missed. Therefore, more innovative designs are needed to improve the detection efficiency. and test quality.
[0017] Such as figure 1 Shown is a schematic structural diagram of a preferred embodiment of the present invention, that is, a machine vision-based detection system for glass bottle appearance defects, including a glass bottle conveyor belt 1 to be detected, a detection platform 2, a control host 3, a sorting device 4, Genuine conveyor belt 5 and defective conveyor belt 6.
[0018] Wherein, the glass bottle conveyor belt 1 to be detected is used to transport the glass bottles to be detected to the detection st...
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The invention discloses a detection system for appearance defects of a glass bottle based on machine vision. The detection system is characterized by comprising a glass bottle conveyor belt to be tested, a detection table, a control host, a sorting device, a genuine conveyor belt, and a defective conveyor belt. A number of image collectors are arranged on the detection table. The image collector is used for collecting appearance defect data of the glass bottle on the glass bottle conveyor belt and transmitting the data to the control host. The control host sends corresponding instructions to the sorting device after the control host analyzed the data. The sorting device conveys the qualified glass bottles to the genuine conveyor belt, and conveys the unqualified glass bottles to the defective conveyor. The detection system has the advantages of automatic detection means and powerful data processing capability, can perform detailed appearance detection on a large number of glass bottles, saves labor cost, and can work for a long time, which is beneficial to the company to improve production efficiency and production quality.
Description
technical field [0001] The invention relates to the technical field of machine vision applications, in particular to a machine vision-based glass bottle appearance with novel structural design, convenient use, high degree of mechanization, good automatic control effect, and can greatly improve the production efficiency and quality of glass bottles. Defect detection system. Background technique [0002] Machine vision is to use machines instead of human eyes for measurement and judgment. The machine vision system converts the captured target into an image signal through the machine vision product, that is, the image capture device, and transmits it to a dedicated image processing system to obtain the shape of the captured target. Information, and convert it into digital signals according to pixel distribution, brightness, color and other information; the image system performs various operations on these signals to extract the characteristics of the target, and then controls t...
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IPC IPC(8): G01N21/958
CPCG01N21/958
Inventor 欧阳光池敏
Owner 南京敏光视觉智能科技有限公司