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 PDFInfo
- 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
- Authority
- 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
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan 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
- G01N2021/8887—Scan 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
- G01N2021/8893—Scan 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
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.
Priority Applications (1)
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 |
Applications Claiming Priority (1)
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 |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106841211A true CN106841211A (en) | 2017-06-13 |
Family
ID=59113837
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611259461.6A Pending CN106841211A (en) | 2016-12-30 | 2016-12-30 | Platform and method of a kind of utilization machine vision to cell piece surface defects detection |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106841211A (en) |
Cited By (3)
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 |
Citations (5)
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 |
-
2016
- 2016-12-30 CN CN201611259461.6A patent/CN106841211A/en active Pending
Patent Citations (5)
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)
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 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN204359710U (en) | A kind of glass surface defects pick-up unit | |
CN101981683B (en) | Method for classifying defects and device for classifying defects | |
CN109584227A (en) | A kind of quality of welding spot detection method and its realization system based on deep learning algorithm of target detection | |
CN206113866U (en) | Six automatic check out test sets of inductance | |
CN110135521A (en) | Pole-piece pole-ear defects detection model, detection method and system based on convolutional neural networks | |
CN110610199B (en) | Automatic optical detection method for printed circuit board resistance element welding spot based on svm and xgboost | |
CN111768363A (en) | Deep learning-based circuit board surface defect detection method and detection system | |
CN106841211A (en) | Platform and method of a kind of utilization machine vision to cell piece surface defects detection | |
CN106501282A (en) | The automatic inspection machine people of FPC and its intelligent detecting method | |
CN112651966A (en) | Printed circuit board micro-defect detection method based on ACYOLOV4_ CSP | |
CN113325001A (en) | Automatic distinguishing and detecting equipment and method for surface appearance flaws of copper foil | |
CN105424721A (en) | Metal strain gauge defect automatic detection system | |
CN107358486A (en) | A kind of board-like simulation trial assembly method, system and the user terminal of having furniture made to order of intelligence | |
CN110567976A (en) | mobile phone cover plate silk-screen defect detection device and detection method based on machine vision | |
CN108844961A (en) | A kind of temperature controller case vision detection system and method | |
CN109685789A (en) | The battery core surface gummed paper detection method and device of view-based access control model detection | |
CN206470220U (en) | Circuit board detecting system | |
CN115035082A (en) | YOLOv4 improved algorithm-based aircraft transparency defect detection method | |
CN106814088A (en) | Based on machine vision to the detection means and method of cell piece colour sorting | |
CN113989241A (en) | Photovoltaic module EL defect detection method based on image processing and deep learning fusion | |
CN206990465U (en) | The defects of liquid crystal panel detection means | |
CN111598851B (en) | Solar cell broken piece detection method based on morphological image processing | |
CN206177368U (en) | Cell -phone size comprehensive tester | |
CN206258390U (en) | Piston rod surface defect automatic detection system | |
CN206311047U (en) | A kind of product profile tolerance testing equipment |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170613 |