CN106841211A - Platform and method of a kind of utilization machine vision to cell piece surface defects detection - Google Patents

Platform and method of a kind of utilization machine vision to cell piece surface defects detection Download PDF

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Publication number
CN106841211A
CN106841211A CN201611259461.6A CN201611259461A CN106841211A CN 106841211 A CN106841211 A CN 106841211A CN 201611259461 A CN201611259461 A CN 201611259461A CN 106841211 A CN106841211 A CN 106841211A
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CN
China
Prior art keywords
cell piece
module
machine vision
sorting
platform
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
CN201611259461.6A
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Chinese (zh)
Inventor
孙智权
刘常堃
江帅
张千
刘夏妮
熊节
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.)
ZHENJIANG SYD TECHNOLOGY Co Ltd
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ZHENJIANG SYD TECHNOLOGY Co Ltd
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Publication date
Application filed by ZHENJIANG SYD TECHNOLOGY Co Ltd filed Critical ZHENJIANG SYD TECHNOLOGY Co Ltd
Priority to CN201611259461.6A priority Critical patent/CN106841211A/en
Publication of CN106841211A publication Critical patent/CN106841211A/en
Pending legal-status Critical Current

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    • 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
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • 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
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8887Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
    • G01N2021/8893Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques providing a video image and a processed signal for helping visual decision

Abstract

The present invention provides platform and method of a kind of utilization machine vision to cell piece surface defects detection, wherein, platform includes:Image capture module, coordinate transform and segmentation module, plane information acquisition module, processing module, judge module and sorting module;Image capture module is used to receive signal and obtains the view data of cell piece;Coordinate transform is used to carry out coordinate transform and image segmentation to the view data for obtaining with segmentation module;Plane information acquisition module is used to obtain each plane information of rgb space of cell piece picture;Processing module is used to carry out plane binaryzation and filtering process;Judge module is used to judge whether detected cell piece surface occurs breakage;Sorting module is used to sort the cell piece being detected.The present invention can carry out unified and accurate detection for solar battery sheet, be conducive to the sorting of solar battery sheet, it is ensured that the qualification rate of solar battery sheet, reduce the outflow of waste product solar battery sheet.

Description

Platform and method of a kind of utilization machine vision to cell piece surface defects detection
Technical field
The present invention relates to solar battery sheet detection technique field, more particularly to one kind is for using machine vision to battery The platform and method of piece surface defects detection.
Background technology
Solar battery sheet is the important component of solar cell, its in process of production different phase have lack Sunken species is also different, influences also different.By taking the cell piece after plated film as an example, the quality of its coating quality directly determines follow-up work The quality of cell piece printing in sequence, so as to influence the performance of solar cell, it is therefore necessary to which cell piece after plated film is sorted, The unqualified cell piece that there will be defect is rejected.
But the influence of the factors such as the different, external environment of temperature due to graphite boat each groove, cell piece can go out after plated film Existing various defects, the diversity and complexity of above-mentioned cell piece kind result in the uncertainty to its detection method, Jin Erying The detection and sorting of solar battery sheet are rung.
Therefore, regarding to the issue above, further solution is proposed.
The content of the invention
It is an object of the invention to provide a kind of utilization machine vision to the platform of cell piece surface defects detection, to overcome The deficiencies in the prior art.
For achieving the above object, the present invention provides a kind of utilization machine vision and cell piece surface defects detection is put down Platform, it includes:Image capture module, coordinate transform with segmentation module, plane information acquisition module, processing module, judge module, And sorting module;
Described image acquisition module is used to receive signal and obtains the view data of cell piece;
The coordinate transform is used to carry out coordinate transform and image segmentation to the view data for obtaining with segmentation module;
The plane information acquisition module is used to obtain each plane information of rgb space of cell piece picture;
The processing module is used to carry out plane binaryzation and filtering process;
The judge module is used to judge whether detected cell piece surface occurs breakage;
The sorting module is used for the judged result according to the judge module, and the cell piece to being detected is sorted.
The improvement of the platform as utilization machine vision of the invention to cell piece surface defects detection, the judge module Specifically for:
By the pixel data in view data, judge whether detected cell piece surface occurs breakage;
As there is no breakage, pixel is the pixel ratio shared by zero in each plane of calculating;
Logic contrast is carried out with the sample data in database, judged result is obtained.
The improvement of the platform as utilization machine vision of the invention to cell piece surface defects detection, has defective electricity Pond piece includes lacking side cell piece, angle of rupture cell piece, jumps color cell piece, disconnected grid cell piece.
The improvement of the platform as utilization machine vision of the invention to cell piece surface defects detection, the sorting module Including mechanical arm and sorting box, the sorting box is arranged on sorting position, is entered between the mechanical arm self-inspection location and sorting position Row is moved back and forth.
For achieving the above object, the present invention provides one kind with machine vision to cell piece surface defects detection side Method, it comprises the following steps:
S1, receive signal and obtain the view data of cell piece;
S2, the view data to obtaining carry out coordinate transform and image segmentation;
S3, each plane information of rgb space for obtaining cell piece picture;
S4, carry out plane binaryzation and filtering process;
Whether the detected cell piece surface of S5, judgement there is breakage;
S6, according to judged result, the cell piece to being detected is sorted.
Improvement as utilization machine vision of the invention to cell piece detection method of surface flaw, the step S5 is specific Including:
By the pixel data in view data, judge whether detected cell piece surface occurs breakage;
As there is no breakage, pixel is the pixel ratio shared by zero in each plane of calculating;
Logic contrast is carried out with the sample data in database, judged result is obtained.
Improvement as utilization machine vision of the invention to cell piece detection method of surface flaw, has defective battery Piece includes lacking side cell piece, angle of rupture cell piece, jumps color cell piece, disconnected grid cell piece.
Compared with prior art, the beneficial effects of the invention are as follows:Utilization machine vision of the invention lacks to cell piece surface The platform for falling into detection can carry out unified and accurate detection for solar battery sheet, be conducive to dividing for solar battery sheet Choosing, it is ensured that the qualification rate of solar battery sheet, reduces the outflow of waste product solar battery sheet.
Brief description of the drawings
Fig. 1 is a specific embodiment of the utilization machine vision of the invention to the platform of cell piece surface defects detection Module diagram;
Fig. 2 is side of the utilization machine vision of the invention to a specific embodiment of cell piece detection method of surface flaw Method schematic flow sheet.
Specific embodiment
The present invention is described in detail for shown each implementation method below in conjunction with the accompanying drawings, but it should explanation, these Implementation method not limitation of the present invention, those of ordinary skill in the art according to these implementation method institutes works energy, method, Or equivalent transformation or replacement in structure, belong within protection scope of the present invention.
As shown in figure 1, of the invention include with machine vision to the platform of cell piece surface defects detection:IMAQ Module 10, coordinate transform and segmentation module 20, plane information acquisition module 30, processing module 40, judge module 50 and sorting Module 60.
Wherein, described image acquisition module 10 is used to receive signal and obtains the view data of cell piece, specifically, described Image collection module 10 can include light source, camera lens and camera.Wherein, the light source is used for as detection light source, the mirror Head carries out image data acquiring, and be passed to camera under detection light source irradiation.
The coordinate transform is used to carry out coordinate transform and image segmentation to the view data for obtaining with segmentation module 20, In this way, in order to be prepared for follow-up image real time transfer.The plane information acquisition module 30 is used to obtain cell piece figure Each plane information of rgb space of piece.The processing module 40 is used to carry out plane binaryzation and filtering process, so with raising The accuracy of view data.
The judge module 50 is used to judge whether detected cell piece surface occurs breakage.Specifically, the judgement Module 50 works as follows:
By the pixel data in view data, judge whether detected cell piece surface occurs breakage;As do not occurred Breakage, pixel is the pixel ratio shared by zero in each plane of calculating;Logic contrast is carried out with the sample data in database, is obtained Judged result.Preferably, the judge module 50 can be PC etc..Having defective cell piece can include lacking side battery Piece, angle of rupture cell piece, jump color cell piece, disconnected grid cell piece.So as to based on the cell piece of above-mentioned different defects, the judgement mould Correspondingly criterion is integrated with block 50, in order to realize accurate judgement.
The sorting module 60 is used for the judged result according to the judge module 50, and the cell piece to being detected is divided Choosing.Specifically, the sorting module 60 carries out signal transmission with the judge module 50, so that, it can be according to being received from Judge module 50 send judge module 50 judged result, and accordingly to be detected cell piece sort.The sorting Module 60 includes mechanical arm and sorting box, wherein, the sorting box at least includes spec battery piece sorting box and unqualified electricity Pond piece sorting box, and the sorting box is arranged at corresponding sorting on position.Enter between the mechanical arm self-inspection location and sorting position Row is moved back and forth.As needed, there can be respective separate machine arm on any sorting position, additionally, also multiple can sort positions being total to Use same mechanical arm.Cell piece on detecting position is sent to correspondence by the mechanical arm under the control of the sorting module 60 Sorting position on.During the mechanical arm crawl cell piece, cell piece can be drawn by the sucker for setting thereon and be realized Grasping movement.
As shown in Fig. 2 being based on identical inventive concept, the present invention also provides one kind with machine vision to cell piece surface Defect inspection method, it comprises the following steps:
S1, receive signal and obtain the view data of cell piece;
S2, the view data to obtaining carry out coordinate transform and image segmentation;
S3, each plane information of rgb space for obtaining cell piece picture;
S4, carry out plane binaryzation and filtering process;
Whether the detected cell piece surface of S5, judgement there is breakage;
S6, according to judged result, the cell piece to being detected is sorted.
Wherein, the step S5 is specifically included:By the pixel data in view data, detected cell piece table is judged Whether face there is breakage;As there is no breakage, pixel is the pixel ratio shared by zero in each plane of calculating;With the sample in database Notebook data carries out logic contrast, obtains judged result.Additionally, in the step S5, having defective cell piece includes lacking side electricity Pond piece, angle of rupture cell piece, jump color cell piece, disconnected grid cell piece.
In sum, utilization machine vision of the invention can be directed to solar energy to the platform of cell piece surface defects detection Cell piece carries out unified and accurate detection, is conducive to the sorting of solar battery sheet, it is ensured that solar battery sheet it is qualified Rate, reduces the outflow of waste product solar battery sheet.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, Er Qie In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be in other specific forms realized.Therefore, no matter From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the present invention is by appended power Profit requires to be limited rather than described above, it is intended that all in the implication and scope of the equivalency of claim by falling Change is included in the present invention.Any reference in claim should not be considered as the claim involved by limitation.
Moreover, it will be appreciated that although the present specification is described in terms of embodiments, not each implementation method is only wrapped Containing an independent technical scheme, this narrating mode of specification is only that for clarity, those skilled in the art should Specification an as entirety, the technical scheme in each embodiment can also be formed into those skilled in the art through appropriately combined May be appreciated other embodiment.

Claims (7)

1. platform of a kind of utilization machine vision to cell piece surface defects detection, it is characterised in that the cell piece surface lacks The platform for falling into detection includes:Image capture module, coordinate transform and segmentation module, plane information acquisition module, processing module, sentence Disconnected module and sorting module;
Described image acquisition module is used to receive signal and obtains the view data of cell piece;
The coordinate transform is used to carry out coordinate transform and image segmentation to the view data for obtaining with segmentation module;
The plane information acquisition module is used to obtain each plane information of rgb space of cell piece picture;
The processing module is used to carry out plane binaryzation and filtering process;
The judge module is used to judge whether detected cell piece surface occurs breakage;
The sorting module is used for the judged result according to the judge module, and the cell piece to being detected is sorted.
2. platform of the utilization machine vision according to claim 1 to cell piece surface defects detection, it is characterised in that institute State judge module specifically for:
By the pixel data in view data, judge whether detected cell piece surface occurs breakage;
As there is no breakage, pixel is the pixel ratio shared by zero in each plane of calculating;
Logic contrast is carried out with the sample data in database, judged result is obtained.
3. platform of the utilization machine vision according to claim 1 to cell piece surface defects detection, it is characterised in that tool Defective cell piece includes lacking side cell piece, angle of rupture cell piece, jumps color cell piece, disconnected grid cell piece.
4. platform of the utilization machine vision according to claim 1 to cell piece surface defects detection, it is characterised in that institute State sorting module include mechanical arm and sorting box, the sorting box be arranged at sorting position on, the mechanical arm self-inspection location and point Moved back and forth between bit selecting.
5. it is a kind of to use machine vision to cell piece detection method of surface flaw, it is characterised in that the cell piece surface defect The method of detection comprises the following steps:
S1, receive signal and obtain the view data of cell piece;
S2, the view data to obtaining carry out coordinate transform and image segmentation;
S3, each plane information of rgb space for obtaining cell piece picture;
S4, carry out plane binaryzation and filtering process;
Whether the detected cell piece surface of S5, judgement there is breakage;
S6, according to judged result, the cell piece to being detected is sorted.
6. utilization machine vision according to claim 1 is to cell piece detection method of surface flaw, it is characterised in that described Step S5 is specifically included:
By the pixel data in view data, judge whether detected cell piece surface occurs breakage;
As there is no breakage, pixel is the pixel ratio shared by zero in each plane of calculating;
Logic contrast is carried out with the sample data in database, judged result is obtained.
7. utilization machine vision according to claim 6 is to cell piece detection method of surface flaw, it is characterised in that have The cell piece of defect includes lacking side cell piece, angle of rupture cell piece, jumps color cell piece, disconnected grid cell piece.
CN201611259461.6A 2016-12-30 2016-12-30 Platform and method of a kind of utilization machine vision to cell piece surface defects detection Pending CN106841211A (en)

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Application Number Priority Date Filing Date Title
CN201611259461.6A CN106841211A (en) 2016-12-30 2016-12-30 Platform and method of a kind of utilization machine vision to cell piece surface defects detection

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107843600A (en) * 2017-10-31 2018-03-27 河北工业大学 A kind of method of polysilicon solar battery slice outward appearance impression of the hand defects detection
CN108596903A (en) * 2017-09-27 2018-09-28 广东产品质量监督检验研究院(国家质量技术监督局广州电气安全检验所、广东省试验认证研究院、华安实验室) A kind of defect inspection method of the black surround and fragment of solar battery sheet
CN111860705A (en) * 2019-04-29 2020-10-30 北京铂阳顶荣光伏科技有限公司 Detection method and system for solar cell

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CN104574389A (en) * 2014-12-26 2015-04-29 康奋威科技(杭州)有限公司 Battery piece chromatism selection control method based on color machine vision
CN104952754A (en) * 2015-05-05 2015-09-30 江苏大学 Coated silicon chip sorting method based on machine vision
CN205643194U (en) * 2016-05-27 2016-10-12 南京点触智能科技有限公司 Touch -control ITO film conducting layer defect detection system based on machine vision
CN106057700A (en) * 2016-07-25 2016-10-26 河海大学常州校区 Method for detecting edge red film of solar cell panel

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103611690A (en) * 2013-10-29 2014-03-05 上海欧普泰科技创业有限公司 Solar battery slice sorting device
CN104574389A (en) * 2014-12-26 2015-04-29 康奋威科技(杭州)有限公司 Battery piece chromatism selection control method based on color machine vision
CN104952754A (en) * 2015-05-05 2015-09-30 江苏大学 Coated silicon chip sorting method based on machine vision
CN205643194U (en) * 2016-05-27 2016-10-12 南京点触智能科技有限公司 Touch -control ITO film conducting layer defect detection system based on machine vision
CN106057700A (en) * 2016-07-25 2016-10-26 河海大学常州校区 Method for detecting edge red film of solar cell panel

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108596903A (en) * 2017-09-27 2018-09-28 广东产品质量监督检验研究院(国家质量技术监督局广州电气安全检验所、广东省试验认证研究院、华安实验室) A kind of defect inspection method of the black surround and fragment of solar battery sheet
CN108596903B (en) * 2017-09-27 2022-06-03 广东产品质量监督检验研究院(国家质量技术监督局广州电气安全检验所、广东省试验认证研究院、华安实验室) Method for detecting defects of black edges and fragments of solar cell
CN107843600A (en) * 2017-10-31 2018-03-27 河北工业大学 A kind of method of polysilicon solar battery slice outward appearance impression of the hand defects detection
CN107843600B (en) * 2017-10-31 2021-01-08 河北工业大学 Method for detecting appearance fingerprint defects of polycrystalline silicon solar cell
CN111860705A (en) * 2019-04-29 2020-10-30 北京铂阳顶荣光伏科技有限公司 Detection method and system for solar cell

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Application publication date: 20170613