CN114518366A - Online glass bottle quality detection system based on machine vision - Google Patents

Online glass bottle quality detection system based on machine vision Download PDF

Info

Publication number
CN114518366A
CN114518366A CN202210170116.4A CN202210170116A CN114518366A CN 114518366 A CN114518366 A CN 114518366A CN 202210170116 A CN202210170116 A CN 202210170116A CN 114518366 A CN114518366 A CN 114518366A
Authority
CN
China
Prior art keywords
detection
station
sub
detected
glass bottle
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210170116.4A
Other languages
Chinese (zh)
Inventor
张航
于艇
杨淑琳
王冠宇
马庆坤
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changchun Changguang Huada Zhizao Sequencing Equipment Co ltd
Original Assignee
Changchun Changguang Huada Zhizao Sequencing Equipment Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Changchun Changguang Huada Zhizao Sequencing Equipment Co ltd filed Critical Changchun Changguang Huada Zhizao Sequencing Equipment Co ltd
Priority to CN202210170116.4A priority Critical patent/CN114518366A/en
Publication of CN114518366A publication Critical patent/CN114518366A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/89Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Textile Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The embodiment of the application discloses online glass bottle quality detection system based on machine vision, this system includes a plurality of detection stations and conveyer, sets up first detection station, second detection station, third detection station and fourth detection station in conveyer's direction of delivery, detects respectively that wait to detect the first lateral wall region, the rim of a cup region, the bottom of a cup region and the second lateral wall region of waiting to detect the glass bottle, wherein the first lateral wall region and the common sign of second lateral wall region wait to detect the lateral wall region of waiting to detect the glass bottle. It is obvious that a plurality of detection stations are arranged in the conveying direction of the conveying device and used for detecting the quality of different detection areas of the glass bottle to be detected, the quality detection of the side wall area, the cup opening area and the cup bottom area of the glass bottle to be detected is completed along the conveying direction, the automatic detection of the quality of the glass bottle is realized, and the detection efficiency is improved.

Description

Online glass bottle quality detection system based on machine vision
Technical Field
The application relates to the technical field of machine vision online detection, in particular to a glass bottle quality online detection system based on machine vision.
Background
With the social development, glass bottles are widely applied to the beverage industry, the pharmaceutical industry and the like. The glass bottle is influenced by force factors such as production process and the like in the manufacturing and production process, unqualified products are easy to appear, and in order to ensure the production quality of the glass bottle, quality detection is required before the glass bottle leaves a factory, and the unqualified products are removed.
In the related art, the quality of the glass bottles is detected by adopting a manual detection mode, and detected unqualified products are removed from a production line. However, the glass bottle is a product with high demand and large production capacity, and the manual detection mode has low efficiency and high cost, thereby restricting the production development to a certain extent.
Therefore, the traditional manual detection mode is difficult to meet the current production requirements, and an efficient glass bottle quality detection system is urgently needed to be designed.
Disclosure of Invention
In order to solve the technical problem, the application provides an online glass bottle quality detection system based on machine vision, realizes the automated inspection of glass bottle quality, has improved detection efficiency.
The embodiment of the application discloses the following technical scheme:
the embodiment of the application provides an online detecting system of glass bottle quality based on machine vision, the system includes a plurality of detection stations and conveyer:
Arranging a first detection station, a second detection station, a third detection station and a fourth detection station in the conveying direction of the conveying device;
the conveying device is used for conveying the glass bottles to be detected to pass through the plurality of detection stations in sequence;
the first detection station is used for detecting a first side wall area of the glass bottle to be detected;
the second detection station is used for detecting the cup mouth area of the glass bottle to be detected;
the third detection station is used for detecting the cup bottom area of the glass bottle to be detected;
the fourth detection station is used for detecting a second side wall area of the glass bottle to be detected;
wherein the first sidewall region and the second sidewall region collectively identify a sidewall region of the carafe to be tested.
According to the technical scheme, the glass bottle quality online detection system comprises a plurality of detection stations and a conveying device, wherein a first detection station, a second detection station, a third detection station and a fourth detection station are arranged in the conveying direction of the conveying device and are used for respectively detecting a first side wall area, a cup opening area, a cup bottom area and a second side wall area of a glass bottle to be detected, and the first side wall area and the second side wall area jointly identify the side wall area of the glass bottle to be detected. It is obvious that a plurality of detection stations are arranged in the conveying direction of the conveying device and used for detecting the quality of different detection areas of the glass bottle to be detected, the quality detection of the side wall area, the cup opening area and the cup bottom area of the glass bottle to be detected is completed along the conveying direction, the automatic detection of the quality of the glass bottle is realized, and the detection efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a system block diagram of an online quality inspection system for glass bottles based on machine vision according to an embodiment of the present disclosure;
FIG. 2 is a system diagram of a machine vision based on-line inspection system for glass bottle quality provided by an embodiment of the present application;
fig. 3 is a detection flowchart of an online detection system for quality of glass bottles based on machine vision according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a system configuration diagram of an on-line glass bottle quality inspection system based on machine vision according to an embodiment of the present application, the system includes a plurality of inspection stations and a conveying device:
arranging a first detection station, a second detection station, a third detection station and a fourth detection station in the conveying direction of the conveying device;
the conveying device is used for conveying the glass bottles to be detected to pass through the plurality of detection stations in sequence;
the first detection station is used for detecting a first side wall area of the glass bottle to be detected;
the second detection station is used for detecting the cup mouth area of the glass bottle to be detected;
the third detection station is used for detecting the cup bottom area of the glass bottle to be detected;
the fourth detection station is used for detecting a second side wall area of the glass bottle to be detected;
wherein the first sidewall region and the second sidewall region collectively identify a sidewall region of the carafe to be tested.
In the quality detection process of the glass bottles, the glass bottles to be detected need to be conveyed to each detection station through the conveying device for corresponding detection, and therefore in a possible implementation mode, a placement position is arranged at the starting end of the conveying device and used for placing the glass bottles to be detected.
In order to realize the complete detection of the whole side wall area of the glass bottle to be detected, the side wall area of the glass bottle to be detected is divided into a first side wall area and a second side wall area, and the first detection station and the fourth detection station are respectively responsible for detection.
Generally, the vials are cylindrical, and thus in one possible implementation, the sidewall area of the vial to be tested may be evenly divided into a first sidewall area and a second sidewall area, i.e., the first inspection station and the second inspection station are each responsible for inspection of the corresponding sidewall area over a 180 degree range.
In order to eliminate the visual blind area in the process of detecting the side wall area of the glass bottle to be detected as much as possible, in one possible implementation manner, the side wall area of the glass bottle to be detected can be divided into a first side wall area and a second side wall area, and the first side wall area and the second side wall area have a common area. For example, the sidewall area of the glass bottle to be inspected is divided into two 180-degree parts on average, and then the area of one part is enlarged to obtain the sidewall area in the range of more than 180 degrees.
It should be noted that, in a possible implementation manner, the side wall region of the glass bottle to be detected may be further divided into a first side wall region and a second side wall region, and both the first side wall region and the second side wall region are side wall regions in a range greater than 180 degrees. The first side wall area and the second side wall area have a common area, so that a visual blind area in the detection process of the side wall area of the glass bottle to be detected can be eliminated to a certain extent, and for the division of the side wall area of the glass bottle to be detected, in addition to the division modes disclosed by the embodiment of the application, other division modes can be selected according to the detection requirements and the like of the actually detected glass bottle, and the application does not limit the detection modes.
In order to avoid forming a detection visual blind area by one-time acquisition imaging when a first detection station is used for detecting a first side wall area, in one possible implementation mode, the conveying device of the first detection station is a folding conveying structure, and a first sub-detection position, a second sub-detection position and a third sub-detection position are sequentially arranged in the conveying direction of the folding conveying structure;
the first sub-detection bit is used for detecting a first sub-area of the first side wall area;
the second sub-detection bit is used for detecting a second sub-area of the first side wall area;
the third sub-detection bit is used for detecting a third sub-region of the first side wall region;
the imaging structure of each sub-detection position comprises a plane light source, a reflecting mirror surface and a camera arranged right above the reflecting mirror surface; the plane light source and the reflecting mirror are symmetrically arranged on two sides of the conveying device, and the reflecting mirror and the plane where the conveying device is located form a first preset angle.
Particularly, set up the conveyer at first detection station place into the formula transport structure that turns over, and set up a plurality of son on the formula transport structure that turns over and detect the position, because the selection is the formula transmission structure that turns over, consequently detect the position through setting up a plurality of son, can wait to detect the glass bottle conveying and pass through first detection station after, the multi-angle is treated the first side wall region that detects the glass bottle and is gathered the formation of image, accomplishes the detection and analysis.
In a possible implementation manner, a first sub-detection position, a second sub-detection position and a third sub-detection position are sequentially arranged in the conveying direction of the folding conveying structure, the first side wall area is correspondingly divided into a first sub-area, a second sub-area and a third sub-area, and the three sub-detection positions are respectively responsible for detection. The imaging structure of each sub-detection position can be set to be the same imaging structure, the imaging structure comprises a plane light source, a reflecting mirror surface and a camera arranged right above the emitting mirror surface, the plane light source and the reflecting mirror surface are symmetrically arranged on two sides of the conveying device, and the reflecting mirror surface and the plane where the conveying device is located form a first preset angle.
When the glass bottles to be detected pass through in sequence, shooting, collecting and imaging are carried out based on the imaging structure of each sub-detection position and used for detecting and analyzing the side wall area. It should be noted that the shooting acquisition imaging is realized based on the optical imaging of the currently set imaging structure.
In order to realize the detection of the glass bottles to be detected in different detection requirements, the setting position parameters of each device in the imaging structure can be adjusted based on the current imaging light path, the detection requirements of the glass bottles to be detected and the like. In consideration of the size of the entire inspection system and the limitation of the installation space of the imaging structure, in one possible implementation, the first preset angle may be 45 degrees. An imaging light path is formed by the reflecting mirror surface arranged at 45 degrees, and the distance between the glass bottle to be detected and the camera is lengthened in a limited space.
It can be understood that the quality of the imaging result is very related to the imaging optical path and the shooting parameters of the camera, and in order to ensure the reliability of the detection result, in one possible implementation, a camera with high definition pixels is selected.
In order to enable the detection results of the first sub-detection position, the second sub-detection position and the third sub-detection position to more completely represent the detection result of the first side wall region of the glass bottle to be detected, in a possible implementation manner, the angle between every two adjacent sub-detection positions is greater than or equal to a second preset angle. Wherein the second preset angle may be set based on parameters of a current transport structure, detection position imaging structure.
In a possible implementation manner, based on the folding conveying structure and the arrangement of the three sub-detection positions, the detection area identified by the image acquired and imaged on each sub-detection position is greater than or equal to 60 degrees, so that in the first detection station, the detection of the range of greater than or equal to 180 degrees is realized on the first side wall area.
The second side wall region and the first side wall region of the glass bottle to be detected jointly identify the side wall region of the glass bottle to be detected, and in one possible implementation, the fourth detection station and the first detection station have the same structural design, and then:
A fourth sub-detection position, a fifth sub-detection position and a sixth sub-detection position are sequentially arranged in the conveying direction of the folding conveying structure of the fourth detection station;
the fourth sub-detection bit is used for detecting a fourth sub-region of the second side wall region;
the fifth sub-detection bit is used for detecting a fifth sub-area of the second side wall area;
the sixth sub-detection bit is used for detecting a sixth sub-area of the second sidewall area.
Specifically, set up the conveyer that the fourth detected station place into the formula of turning over transport structure, and set up a plurality of son on the formula of turning over transport structure and detect the position, because the selection is the formula of turning over transmission structure, consequently detect the position through setting up a plurality of son, can wait to detect the glass bottle conveying and pass through the fourth and detect the station after, the formation of image is gathered in the second side wall region that the glass bottle was treated to the multi-angle, accomplishes the detection and analysis.
In a possible implementation manner, a fourth sub-detection position, a fifth sub-detection position and a sixth sub-detection position are sequentially arranged in the conveying direction of the folding conveying structure, the second side wall area is correspondingly divided into a fourth sub-area, a fifth sub-area and a sixth sub-area, and the three sub-detection positions are respectively responsible for detection.
It should be noted that, since the fourth inspection station and the first inspection station have the same structural design, the relevant parts and the descriptions of the inspection methods can be referred to the description of the first inspection station.
The complete detection of the quality of the glass bottle comprises detection of a cup mouth area and a cup bottom area besides detection of a side wall area.
Due to the fact that the fourth detection station and the first detection station are designed identically, in order to guarantee that the second side wall region is detected when the glass bottle to be detected is conveyed to the fourth detection station, but not the first side wall region which is in charge of the first detection station, in a possible implementation manner, the second detection station and the third detection station are arranged between the first detection station and the fourth detection station;
the conveying devices of the second detection station and the third detection station are of differential rotation conveying structures;
the differential rotation transmission structure comprises a first clamping belt and a second clamping belt and is used for clamping the glass bottle to be detected; the difference of the transmission speeds of the first clamping belt and the second clamping belt is a preset threshold value.
Specifically, the second detection station and the third detection station are arranged between the first detection station and the fourth detection station, the conveying device where the second detection station and the third detection station are arranged is arranged to be a differential speed rotary conveying structure, the differential speed rotary conveying structure comprises a first clamping belt and a second clamping belt which are used for clamping glass bottles to be detected, and the conveying speed difference between the first clamping belt and the second clamping belt is a preset threshold value. Based on the detection, the detection of the cup mouth area of the glass bottle to be detected is realized at the second detection station, the detection of the cup bottom area of the glass bottle to be detected is realized at the third detection station, and when the glass bottle to be detected is conveyed to the fourth detection station, the 180-degree rotation is completed compared with the position of the first detection station.
For the detection of the cup mouth region and the cup bottom region of the glass bottle to be detected, in a possible implementation manner, the imaging structure of the second detection station comprises a spherical integral light source and the camera arranged right above the spherical integral light source, and the spherical integral light source is arranged right above the glass bottle to be detected;
the imaging structure of the third detection station comprises the plane light source and the camera, the plane light source is arranged right below the glass bottle to be detected, and the camera is arranged right above the glass bottle to be detected.
That is, the detection of the cup mouth area is realized by adopting a ball integral light source, and the detection of the cup bottom area is realized by adopting a plane light source.
When the glass bottle fine conveying device to be detected enters the second detection station, the glass bottle to be detected is clamped by the clamping belt of the differential rotation conveying structure, and shooting, acquisition, imaging and detection analysis of the cup opening area are completed in a bright field reflection illumination mode through the spherical integral light source.
When the glass bottle fine conveying device to be detected enters the third detection station, in order to facilitate the collection of images of the cup bottom area, the glass bottle to be detected is in a suspended clamping state at the detection station, and the shooting, the collection and imaging and the detection and analysis of the cup bottom area are realized through a plane light source bright field transmission polishing mode.
In one possible implementation, the second inspection station may be arranged before the third inspection station, i.e. the inspection of the cup opening area is performed first. It will be appreciated that in one possible implementation, the second inspection station may be located after the third inspection station, i.e. the inspection of the region of the cup bottom is performed first. This is not a limitation of the present application.
When the glass bottle to be detected finishes the detection of the cup mouth area and the cup bottom area and is conveyed to the fourth detection station, the differential rotation transmission structure based on the second detection station and the third detection station finishes 180-degree rotation compared with the position of the first detection station. The difference of the transmission speeds of the first clamping belt and the second clamping belt of the differential rotation transmission structure is a preset threshold value, and the preset threshold value is set based on the detection time of the second detection station and the third detection station, the distance transmitted in the detection process and other parameters.
The quality detection process of the glass bottle is to screen out qualified products meeting quality requirements according to detection results of all detection stations. Thus, in one possible implementation, the system further comprises a sortation station:
and the classification station is used for classifying the glass bottles to be detected into a first product and a second product according to the detection results of the first detection station, the second detection station, the third detection station and the fourth detection station.
And a classification station is arranged behind the fourth detection station and used for classifying the glass bottles to be detected into a first product and a second product according to the detection result of each detection station.
In one possible implementation, the first type of product is a qualified product, and the second type of product is a defective product;
then, the classifying the glass bottles to be detected into a first product and a second product according to the detection results of the first detection station, the second detection station, the third detection station and the fourth detection station includes:
classifying the glass bottles to be detected, which pass the detection results of the first detection station, the second detection station, the third detection station and the fourth detection station, into qualified products;
And if at least one detection result in the detection results of the first detection station, the second detection station, the third detection station and the fourth detection station does not pass, classifying the glass bottle to be detected as the defective product.
It should be noted that, the classification basis of the qualified product and the defective product can be set according to the actual quality requirement. For example, in a certain use scene, only a wide-mouth glass bottle is needed, and the quality requirement of the cup mouth area is more relaxed relative to the use scene needing a sealing cover.
In order to facilitate a user to perform faster and more accurate traceability analysis on a product with defects, in one possible implementation manner, a first classification station may be arranged immediately after a first detection station, a second classification station may be arranged immediately after a second detection station, a third classification station may be arranged immediately after a third detection station, and a fourth classification station may be arranged immediately after a fourth detection station;
the first classification station is used for screening and shunting products with defects in the first side wall area in the glass bottle to be detected;
the second classification station is used for screening and shunting products with defects in a cup mouth area in the glass bottle to be detected;
The third classification station is used for screening and distributing products with defects in the bottom area of the glass bottle to be detected;
and the fourth classifying station is used for screening and dividing products with defects in the second side wall area in the glass bottle to be detected.
Based on this, can realize having the classification of defective product in different regions, the user of being convenient for can carry out further use or with its broken feed back to all kinds of defective products to the user demand of different grade type. In addition, because the products with defects detected by the previous detection station are distributed in time, the detection load of the downstream detection station of the whole detection system can be reduced, and the detection efficiency is improved.
Considering that the first detection station and the fourth detection station are both used for detecting the side wall area of the glass bottle to be detected, in a possible implementation manner, a classification station is not added behind the first detection station, and only a side wall defect classification station is needed to be arranged behind the fourth detection station, wherein the side wall defect classification station is used for screening and shunting the glass bottle to be detected according to the detection results of the first detection station and the fourth detection station. Specifically, if at least one detection result in the detection results of the first detection station and the fourth detection station is failed (has a defect), screening and shunting the glass bottles to a product conveying line with a defect on the side wall; if the detection results of the first detection station and the fourth detection station are both passed (qualified), the glass bottles are screened and distributed to a qualified product conveying line.
In order to realize the rapid classification of the glass bottles to be detected, in one possible implementation, the classification station comprises an electric deflector rod;
and the electric deflector rod is used for shunting the glass bottles to be detected to the conveying device of the qualified products or the conveying device of the defective products according to the classification result.
The glass bottles conveyed by the conveying device of the qualified products can be directly put into use, and the glass bottles conveyed by the conveying device of the defective products can be traced and analyzed by a user. So, based on the reposition of redundant personnel conveying of product for the defect product has been avoided by direct damaged feed back, and the user can also trace back the analysis to its jinningcounty, for example select the glass bottle that satisfies the comparatively general use scene of quality demand or select defect glass bottle etc. that are fit for being used for artistic creation.
In the quality detection process of the glass bottle, the detected defect types can comprise various appearance defects such as cracks, bubbles, drippers, stones, skew and the like, and the recognizable size of the defect detection is generally larger than or equal to 1 mm. It should be noted that, by selecting an imaging structure and the like capable of acquiring a sufficiently high-definition imaging image, the recognizable size of defect detection can be reduced, that is, the detection accuracy of the quality detection system can be improved.
Therefore, the online glass bottle quality detection system based on machine vision provided by the embodiment of the application comprises a plurality of detection stations and a conveying device, wherein a first detection station, a second detection station, a third detection station and a fourth detection station are arranged in the conveying direction of the conveying device and respectively detect a first side wall area, a cup mouth area, a cup bottom area and a second side wall area of a glass bottle to be detected, and the first side wall area and the second side wall area jointly identify the side wall area of the glass bottle to be detected. It is obvious that, a plurality of detection stations are arranged in the conveying direction of the conveying device and used for detecting the quality of different detection areas of the glass bottle to be detected, and the quality detection of the side wall area, the cup mouth area and the cup bottom area of the glass bottle to be detected is completed along the conveying direction, so that the automatic detection of the quality of the glass bottle is realized, and the detection efficiency is improved.
In addition, the online detection system of glass bottle quality based on machine vision that this application embodiment provided can adapt to the different size of a dimension glass bottle that awaits measuring through simple mechanical adjustment, and is concrete, can be through adjusting conveyer's setting parameter, for example the width of conveyer belt, also can adjust the setting parameter of the imaging structure of each detection station, for example the setting distance of adjusting the light source among the imaging structure etc. change the formation of image light path.
Due to the special material of the glass bottle, the polishing problem in the quality detection of the glass bottle becomes a difficult point of the industry. The embodiment of the application provides a glass bottle quality on-line measuring system based on machine vision adopts different modes of polishing at different detection station for the testing result of current detection station can more characterize the real condition in the region that the current detection station is responsible for the detection. And, carry out the quality detection at different positions through setting up different detection stations, be of value to and carry out the modularization extension according to actual demand in practical application. In addition, according to the detection requirements of users, a special independent detection station can be added for the part difficult to identify the defect, for example, a polaroid or a plane light source with a changeable background is added, the contrast is improved, the defect and the qualification are easier to distinguish, therefore, the reliability of the quality detection result of the whole detection system is improved, and the false detection rate is reduced.
Fig. 2 is a system distribution diagram of an on-line glass bottle quality inspection system based on machine vision according to an embodiment of the present application, in which (a) is a front system distribution view, and (b) is a top system distribution view.
The system comprises a first inspection station 201, a second inspection station 202, a third inspection station 203, a fourth inspection station 204 and a sorting station 205, and a conveyor.
The glass bottles to be detected sequentially pass through all the stations from left to right under the action of the conveying device, the quality detection of all the areas is completed, and finally the glass bottles are classified based on the detection results of all the detection stations.
It should be noted that, since the detection system shown in fig. 2 basically corresponds to the detection system shown in fig. 1, relevant points can be referred to the description of fig. 1.
Fig. 3 is a detection flowchart of an online detection system for quality of glass bottles based on machine vision according to an embodiment of the present application:
the method comprises the steps of inputting glass bottles to be detected at the starting end of the glass bottle quality online detection system, sequentially conveying the glass bottles to a first detection station, a second detection station, a third detection station and a fourth detection station through a conveying device, respectively completing detection of a first side wall area, a cup mouth area, a cup bottom area and a second side wall area, conveying the glass bottles to a classification station through the conveying device, classifying the glass bottles to be detected into qualified products or defective products based on detection results of the detection stations, and correspondingly outputting the glass bottles to be detected.
It should be noted that, since the detection flow shown in fig. 3 basically corresponds to the detection system shown in fig. 1, relevant points can be referred to the description of fig. 1.
Therefore, the online glass bottle quality detection system based on machine vision provided by the embodiment of the application comprises a plurality of detection stations and a conveying device, wherein a first detection station, a second detection station, a third detection station and a fourth detection station are arranged in the conveying direction of the conveying device and respectively detect a first side wall area, a cup mouth area, a cup bottom area and a second side wall area of a glass bottle to be detected, and the first side wall area and the second side wall area jointly identify the side wall area of the glass bottle to be detected. It is obvious that, a plurality of detection stations are arranged in the conveying direction of the conveying device and used for detecting the quality of different detection areas of the glass bottle to be detected, and the quality detection of the side wall area, the cup mouth area and the cup bottom area of the glass bottle to be detected is completed along the conveying direction, so that the automatic detection of the quality of the glass bottle is realized, and the detection efficiency is improved.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The embodiments of the present application are described in detail above with reference to the drawings, and the accompanying drawings are included to provide a further understanding of the invention. Also, the method according to the present application may vary in the embodiments and the application range for a person skilled in the art.
In view of the foregoing, it is not intended that the present disclosure be limited to the specific embodiments disclosed, and that any modifications or alterations that may occur to those skilled in the art and which are within the scope of the disclosure are intended to be covered by the appended claims. Moreover, the present application may be further combined to provide more implementation manners on the basis of the implementation manners provided by the above aspects.

Claims (10)

1. An on-line glass bottle quality inspection system based on machine vision, the system comprising a plurality of inspection stations and a conveyor:
arranging a first detection station, a second detection station, a third detection station and a fourth detection station in the conveying direction of the conveying device;
The conveying device is used for conveying the glass bottles to be detected to sequentially pass through the plurality of detection stations;
the first detection station is used for detecting a first side wall area of the glass bottle to be detected;
the second detection station is used for detecting the cup mouth area of the glass bottle to be detected;
the third detection station is used for detecting the cup bottom area of the glass bottle to be detected;
the fourth detection station is used for detecting a second side wall area of the glass bottle to be detected;
wherein the first sidewall region and the second sidewall region collectively identify a sidewall region of the carafe to be tested.
2. The system according to claim 1, wherein the conveyor of the first inspection station is a folding conveyor structure, and a first sub-inspection position, a second sub-inspection position and a third sub-inspection position are sequentially arranged in the conveying direction of the folding conveyor structure;
the first sub-detection bit is used for detecting a first sub-area of the first side wall area;
the second sub-detection position is used for detecting a second sub-area of the first side wall area;
the third sub-detection position is used for detecting a third sub-area of the first side wall area;
The imaging structure of each sub-detection position comprises a plane light source, a reflecting mirror surface and a camera arranged right above the reflecting mirror surface; the plane light source and the reflecting mirror are symmetrically arranged on two sides of the conveying device, and the reflecting mirror and the plane where the conveying device is located form a first preset angle.
3. The system according to claim 2, wherein the angle between two adjacent sub-detection positions is greater than or equal to a second preset angle.
4. The system of claim 3, wherein the fourth inspection station and the first inspection station are of the same structural design, such that:
a fourth sub-detection position, a fifth sub-detection position and a sixth sub-detection position are sequentially arranged in the conveying direction of the folding conveying structure of the fourth detection station;
the fourth sub-detection bit is used for detecting a fourth sub-area of the second side wall area;
the fifth sub-detection bit is used for detecting a fifth sub-area of the second side wall area;
the sixth sub-detection bit is used for detecting a sixth sub-area of the second sidewall area.
5. The system of claim 4, wherein the second inspection station and the third inspection station are disposed between the first inspection station and the fourth inspection station;
The conveying devices of the second detection station and the third detection station are of differential rotation conveying structures;
the differential rotation transmission structure comprises a first clamping belt and a second clamping belt and is used for clamping the glass bottle to be detected; the difference of the transmission speeds of the first clamping belt and the second clamping belt is a preset threshold value.
6. The system of claim 5, wherein the imaging structure of the second inspection station comprises a spherical integral light source and the camera disposed directly above the spherical integral light source, the spherical integral light source being disposed directly above the vial to be inspected;
the imaging structure of the third detection station comprises the plane light source and the camera, the plane light source is arranged right below the glass bottle to be detected, and the camera is arranged right above the glass bottle to be detected.
7. The system of any one of claims 1 to 6, comprising a sortation station:
the classifying station is used for classifying the glass bottles to be detected into a first class product and a second class product according to the detection results of the first detecting station, the second detecting station, the third detecting station and the fourth detecting station.
8. The system of claim 7, wherein the first type of product is a good product and the second type of product is a defective product;
then, the classifying the glass bottles to be detected into a first product and a second product according to the detection results of the first detection station, the second detection station, the third detection station and the fourth detection station includes:
classifying the glass bottles to be detected, which pass the detection results of the first detection station, the second detection station, the third detection station and the fourth detection station, into qualified products;
and if at least one detection result in the detection results of the first detection station, the second detection station, the third detection station and the fourth detection station does not pass, classifying the glass bottle to be detected as the defective product.
9. The system of claim 8, wherein the sortation station comprises an electric shifter;
and the electric deflector rod is used for shunting the glass bottles to be detected to the conveying device of the qualified products or the conveying device of the defective products according to the classification result.
10. System according to any one of claims 1 to 6, characterized in that a seating is provided at the beginning of the conveyor for the placement of the glass bottles to be tested.
CN202210170116.4A 2022-02-23 2022-02-23 Online glass bottle quality detection system based on machine vision Pending CN114518366A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210170116.4A CN114518366A (en) 2022-02-23 2022-02-23 Online glass bottle quality detection system based on machine vision

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210170116.4A CN114518366A (en) 2022-02-23 2022-02-23 Online glass bottle quality detection system based on machine vision

Publications (1)

Publication Number Publication Date
CN114518366A true CN114518366A (en) 2022-05-20

Family

ID=81599497

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210170116.4A Pending CN114518366A (en) 2022-02-23 2022-02-23 Online glass bottle quality detection system based on machine vision

Country Status (1)

Country Link
CN (1) CN114518366A (en)

Similar Documents

Publication Publication Date Title
RU2763417C2 (en) System and related method for detecting small defects on/in glass sheet on process line
CN103884650B (en) A kind of multiple light courcess linear array imaging system and method
CN110267893B (en) System for on-line measurement of optical properties of glass sheets and related method
CN103736672B (en) A kind of eyeglass is classified sorting equipment online
KR20180119639A (en) Machines and methods for inspecting the flow of objects
US20040247193A1 (en) Method and apparatus for article inspection
CN104483320A (en) Digitized defect detection device and detection method of industrial denitration catalyst
CN103630544A (en) Online visual detection system
US8135206B2 (en) Machine for inspecting glass containers
CN113640310A (en) Tile surface defect detection visual system and detection method
CN106645185A (en) Method and device for intelligently detecting surface quality of industrial parts
US20020085093A1 (en) Lumber grading system
CN208350678U (en) Transparent vessel oral area crackle on-line measuring device
CN206146851U (en) Intellectual detection system industrial part surface quality's device
CN114518366A (en) Online glass bottle quality detection system based on machine vision
CN108132255B (en) Plastic container detection system with self-correcting function
CN114527075A (en) Mask defect detection device and method
JPH10160676A (en) Rice grain inspection device
US20230136456A1 (en) Method of optical quality inspection of workpieces
CN212658633U (en) Visual detection mechanism for defects of mask
JPS5811819A (en) Color sorting method
CN114742759A (en) Method for confirming type of surface defect to be detected of transparent object
CN116026861A (en) Glass bottle detection method and system
DE4419943A1 (en) Sorting out objects on conveyor belt
US7688437B2 (en) Machine for inspecting glass containers

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination