Method for automatically detecting rupture of infusion bottle mouth by using machine vision system

A machine vision system and automatic detection technology, which is applied in the direction of optical testing flaws/defects, can solve the problems of inability to guarantee the quality of product qualification rate inspection, high labor intensity, and low monitoring speed, and achieve the effect of reducing labor intensity of inspection

Inactive Publication Date: 2012-06-20
WUXI ZHONGWANG 4D TECH
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Problems solved by technology

[0004] Aiming at the problems of the existing technology that the on-line detection of the broken mouth of the infusion bottle relies on manual detection, the workers are prone to visual fatigue, the labor intensity is high, the product qualification rate and detection quality cannot be guaranteed, and the monitoring speed is low. The present invention provides a machine vision The system's automatic detection method for the cracking of the mouth of the infusion bottle can greatly reduce the labor intensity of workers' detection, with high detection accuracy and fast speed, which can effectively ensure the qualified rate of manufactured products

Method used

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  • Method for automatically detecting rupture of infusion bottle mouth by using machine vision system
  • Method for automatically detecting rupture of infusion bottle mouth by using machine vision system
  • Method for automatically detecting rupture of infusion bottle mouth by using machine vision system

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Effect test

Embodiment 1

[0031] Embodiment 1, to the detection of qualified transfusion bottle bottleneck:

[0032] Such as figure 2 The image of the mouth of the infusion bottle shown has a rupture on the right side.

[0033] Fix the Basler ACA640-100GM industrial camera above the mouth of the infusion bottle. The distance between the camera and the upper surface of the mouth of the infusion bottle is about 100mm. Using the Schneider zoom lens, the focal length is adjusted to 8mm, the aperture is adjusted to the maximum value, and the exposure time is Adjusted to 0.41ms. Set the normal scale missing ratio of qualified products to a maximum of 10%. A special white LED ring light source is used, and a semi-closed metal frame is used to shield the influence of external stray light, so as to obtain a relatively stable visual image and reflect the obvious characteristics of the mouth of the infusion bottle. The LED ring light source of this project uses the special machine vision light source of CCS C...

Embodiment 2

[0039] Embodiment 2, to the detection of the bottle mouth of the infusion bottle that there is rupture:

[0040] Such as image 3 The image of the mouth of the infusion bottle shown has a rupture on the right side.

[0041] Fix the Basler ACA640-100GM industrial camera above the mouth of the infusion bottle. The distance between the camera and the upper surface of the mouth of the infusion bottle is about 100mm. Using the Schneider zoom lens, the focal length is adjusted to 8mm, the aperture is adjusted to the maximum value, and the exposure time is Adjusted to 0.41ms. Set the normal scale missing ratio of qualified products to a maximum of 10%. A special white LED ring light source is used, and a semi-closed metal frame is used to shield the influence of external stray light, so as to obtain a relatively stable visual image and reflect the obvious characteristics of the mouth of the infusion bottle. The LED ring light source of this project uses the special machine vision ...

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Abstract

The invention provides a method for automatically detecting rupture of an infusion bottle mouth by using a machine vision system. The method comprises the steps of: pre-taking an image of a bottle mouth of a standard product as a bottle mouth standard image and storing the image in a computer; setting a differential proportion of the pre-taken image to the bottle mouth standard image as a detection parameter; setting detection precisions and qualification ranges of different detection parameters according to user requirements; starting up a camera according to an outer triggering and controlling signal to take images of the bottle mouth of the infusion bottle which is under on-line operation in real time; transmitting the taken images to the computer for detection; processing by the computer through an image algorithm; extracting images of the bottle mouth of the infusion bottle and calculating the difference; judging whether the product is a qualified product or a waste product through the calculated difference; and removing the waste product from an appointed discharge port through the outer triggering and controlling signal. The method for automatically detecting rupture of the infusion bottle mouth by using the machine vision system, disclosed by the invention, has high precision and high speed for detecting rupture of the bottle mouth of the infusion bottle and can be used for efficiently guaranteeing the qualified rate of products.

Description

technical field [0001] The invention relates to the technical field of on-line detection by using a machine vision system, in particular to a method for automatically detecting whether a mouth of an infusion bottle is broken by using a machine vision system at the production site of an infusion bottle. Background technique [0002] In the production site of the infusion bottle in the assembly line, it is necessary to perform online detection on whether the mouth of the infusion bottle is broken. In the prior art, the on-line detection of the mouth of the infusion bottle relies on manual detection, and about 80 people are set up next to the infusion bottle production machine to detect and handle the breakage of the mouth of the infusion bottle, and the products are classified into qualified products according to the detection results (such as Bottle mouth deformation ratio <10% and no deformation) and unqualified products (such as bottle mouth deformation ratio ≥ 10%). Un...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/89
Inventor 董仲伟
Owner WUXI ZHONGWANG 4D TECH
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