CN105628710A - Material detection system and detection method thereof - Google Patents

Material detection system and detection method thereof Download PDF

Info

Publication number
CN105628710A
CN105628710A CN201410705089.1A CN201410705089A CN105628710A CN 105628710 A CN105628710 A CN 105628710A CN 201410705089 A CN201410705089 A CN 201410705089A CN 105628710 A CN105628710 A CN 105628710A
Authority
CN
China
Prior art keywords
measured
data
detection system
comparison result
unit
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
CN201410705089.1A
Other languages
Chinese (zh)
Inventor
闵祥伟
李强强
乐卫文
申屠江民
张平
王肖辉
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.)
ZHEJIANG JINLEY COATING CO Ltd
Original Assignee
ZHEJIANG JINLEY COATING 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 ZHEJIANG JINLEY COATING CO Ltd filed Critical ZHEJIANG JINLEY COATING CO Ltd
Priority to CN201410705089.1A priority Critical patent/CN105628710A/en
Publication of CN105628710A publication Critical patent/CN105628710A/en
Pending legal-status Critical Current

Links

Landscapes

  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention relates to the technical field of panel display, and especially relates to a material detection system. The system at least comprises: a storage unit used for storing standard data and defining data of the specific area image of a standard material or the large and small data of the standard material as standard data; a sensing unit used for sensing the signal of a material to be detected in an area to be detected; an image acquisition unit used for acquiring the data to be detected of the material to be detected according to the signal and defining the acquired data of the specific area image of the material to be detected and/or the acquired dimension size of the material to be detected as the data to be detected; and an image comparison unit used for receiving the data to be detected and comparing the data to be detected with the standard data to obtain a comparison result.

Description

Material detection system and detection method thereof
Technical field
The present invention relates to technical field of flat panel display, particularly relate to a kind of material detection system and detection method thereof.
Background technology
In recent years, high speed development along with informationized society, touch screen, display screen are widely used in the various fields such as mobile terminal, medical apparatus and instruments, bank self-help system, space flight and aviation, marine site exploration, the consumption demand amount making touch screen and display screen constantly increases, and its prescription is also more and more higher.
Being continuously increased of demand imply that the requirement of the automaticity to product and production efficiency is more and more higher. at present, in the process of batch production touch screen or display screen, owing to the size of product is different, and it is positioned at the circuit on touch screen or display screen, hole, identify such as LOGO etc. also to get more and more, these holes, circuit, mark is frequently present of exception, affect product quality, it is thus desirable to manually abnormal product is picked out, or various sizes of product is screened, again owing to product quantity is more, hole on product, circuit, identify more accurate, not only need the work that substantial amounts of manpower and materials are selected to complete these or screened, and it is difficult to ensure that the quality selected or screen, such as, some abnormal product is not selected out. therefore, how more effective product is detected, be industry problem demanding prompt solution.
Summary of the invention
In view of this, the present invention provides a kind of material detection system being conducive to improving testing result accuracy and production efficiency.
Additionally, there is a need to provide a kind of material detection method.
Described material provided by the invention detection system at least includes: memory element, and being used for storing normal data, the data of definition standard material specific region image and/or the size data of described standard material is normal data; Sensing unit, the signal come for sensing determinand in region to be measured to expect; Image acquisition units, for according to described signal, gathering the testing data of described material to be measured, the data of material described to be measured identical described specific region image and/or the size of described material to be measured that definition collects are testing data; Image comparing unit, is used for receiving described testing data, and described testing data and normal data is compared, obtain comparison result.
In described material detection system provided by the invention, described memory element is additionally operable to store described testing data and/or described comparison result, and described comparison result includes the result whether described material to be measured is abnormal.
In described material detection system provided by the invention, described material detection system also includes a display unit, and described display unit is used for showing described comparison result.
In described material detection system provided by the invention, described material detection system also includes an alarm unit, and described alarm unit is for carrying out alarm to abnormal material described to be measured.
In described material detection system provided by the invention, described material detection system also includes a material delivery unit, a light illuminating unit and a pickup unit, described material delivery unit is used for transmitting material to be measured, and described material to be measured is sent to a region to be measured, described light illuminating unit is at least for irradiating the specific region of described material to be measured, and described pickup unit is for picking up material abnormal in material to be measured.
In described material detection system provided by the invention, described material detection system also includes a shade, and described shade at least has a receiving space, and at least described light illuminating unit, image acquisition units and described region to be measured are positioned at described receiving space.
In described material detection system provided by the invention, described material to be measured being provided with at least one in described icon, labelling or circuit, described specific region is the icon on described material to be measured, labelling or circuit region.
A kind of material detection method, it at least comprises the following steps:
The normal data of storage standard material, and a region to be measured is provided, define the data of described standard material specific region image and/or the size data of described standard material are described normal data, define the data of described standard material specific region image and/or the size data of described standard material are normal data; Sense determinand in region to be measured and expect the signal come; According to described signal, gather the testing data of described material to be measured, define the data of described material specific region to be measured image and/or the size data of described material to be measured are testing data; Receiving described testing data, and described testing data and normal data are compared, obtain comparison result, described normal data is the data of standard material identical described specific region image.
In described material detection method provided by the invention, described detection method is additionally included in the step after obtaining described comparison result, described comparison result displayed.
In described material detection method provided by the invention, described detection method is additionally included in the step that abnormal material described to be measured carries out after obtaining described comparison result alarm.
In described material detection method provided by the invention and system thereof, first the normal data of standard material is stored in described memory element, then the testing data of material to be measured is gathered, again described testing data and described normal data are compared, obtain comparison result, if testing data described in described comparison result and normal data have difference or difference not in threshold interval, then may determine that described material to be measured is abnormal, otherwise material to be measured is normal. Therefore, detect system by described material and replace current artificial cognition, be possible not only to improve production efficiency, also can improve the accuracy of material testing result to be measured.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing:
Fig. 1 is the module diagram of the material detection system of a better embodiment provided by the invention;
Fig. 2 is the schematic flow sheet of the detection system detecting method of material shown in Fig. 1;
Fig. 3 is the module diagram of the material detection system of another better embodiment provided by the invention.
Detailed description of the invention
For material provided by the invention detection system is described, it is described in detail below in conjunction with Figure of description and explanatory note.
Refer to Fig. 1, its be a better embodiment provided by the invention material detection system 100 module diagram, described material detection system is for detecting the size of material to be measured, or in material to be measured, whether the icon of specific region, labelling or land be abnormal. It at least includes:
Memory element 101, for storing the normal data of standard material, the data of definition standard material specific region image and/or the size data of described standard material are normal data. Described standard material is touch screen, display screen, touch-control display module, colored filter or substrate. Being provided with at least one in described icon, labelling or circuit on described material to be measured, described specific region is the icon on described material to be measured, labelling or circuit region.
Sensing unit 102, the signal come for sensing determinand in region to be measured to expect. Preferably, described sensing unit is positioned at the top in described region to be measured, and it at least includes a sensor.
Image acquisition units 103, for according to described signal, gathering the testing data of described material to be measured, the data of material described to be measured identical described specific region image and/or the size of described material to be measured that definition collects are testing data. Described material to be measured and described standard material belong to similar material, and the abnormal conditions of its size and its icon, labelling or circuit are gathering the unknown between image.
Image comparing unit 104, is used for receiving described testing data, and described testing data and normal data is compared, obtain comparison result. Described comparison result includes the result whether described material to be measured is abnormal. Concrete, if described testing data and normal data have difference or difference not in threshold interval, then may determine that described material to be measured is abnormal; If described testing data and normal data do not have difference or difference in described threshold interval, then can determine whether that described material to be measured is normal.
Described material detection system also includes a light illuminating unit and a pickup unit (not shown), described light illuminating unit is at least for irradiating the specific region of described material to be measured, so that the testing data that described image acquisition units collects is more accurate; Described pickup unit is for picking up material abnormal in material to be measured, so that the material of exception is mixed into next process.
Described material detection system can also include a shade (not shown), described shade at least has a receiving space, at least described light illuminating unit, image acquisition units and described region to be measured are positioned at described receiving space, described shade can improve the gathered image effect of image acquisition units further, so that described testing data is more accurate.
Described material detection system can also include material delivery unit (not shown), is used for transmitting material to be measured, and described material to be measured is sent to a region to be measured. Described delivery unit at least includes a conveyer belt and a motor, and described conveyer belt passes through described motor driven, and described material to be measured detects in described region to be measured.
In the material detection system 100 that present embodiment provides, first the normal data of standard material is stored in described memory element 101, then the testing data of material to be measured is gathered, again described testing data and described normal data are compared, obtain comparison result, if testing data described in described comparison result and normal data have difference or difference not in threshold interval, then may determine that described material to be measured is abnormal, otherwise material to be measured is normal. Therefore, detect system 100 by described material and replace current artificial cognition, be possible not only to improve production efficiency, also can improve the accuracy of material testing result to be measured.
As in figure 2 it is shown, it detects the schematic flow sheet of system detecting method for material shown in Fig. 1. Described detection method at least comprises the following steps:
Step S01: the normal data of storage standard material, and a region to be measured is provided.
The data defining the data of described standard material specific region image and/or the size data of described standard material are described normal data. Described standard material is touch screen, display screen, touch-control display module, colored filter or substrate. Being provided with at least one in described icon, labelling or circuit on described material to be measured, described specific region is the icon on described material to be measured, labelling or circuit region.
Step S02: sense determinand in region to be measured and expect the signal come.
Preferably, described sensing unit is positioned at the top in described region to be measured, and it at least includes a sensor.
Step S03: according to described signal, gather the testing data of described material to be measured.
The data of material specific region described to be measured image and/or the size of described material to be measured that definition collects are testing data. Described material to be measured and described standard material belong to similar material, and the abnormal conditions of its size and its icon, labelling or circuit are gathering the unknown between image.
Step S04: receive described testing data, and described testing data and normal data are compared, obtain comparison result. Described comparison result includes the result whether described material to be measured is abnormal. Concrete, if described testing data and normal data have difference or difference not in threshold interval, then may determine that described material to be measured is abnormal; If described testing data and normal data do not have difference or difference in described threshold interval, then can determine whether that described material to be measured is normal.
In present embodiment, described material detection system detecting method is additionally included in the step that described material to be measured is sent to before sensing described signal described region to be measured and the step after obtaining described comparison result, described comparison result displayed.
As it is shown on figure 3, the module diagram of the material detection system 200 that it is another better embodiment provided by the invention. Described material detection system 200 at least includes memory element 201, sensing unit 202, image acquisition units 203, image comparing unit 204, display unit 205 and alarm unit 206. Described material detection system 200 is in that with one of detection system 100 difference of material shown in Fig. 1, and described memory element 201 is additionally operable to store described testing data and/or described comparison result; The two of difference are in that, described material detection system 200 also includes display unit 205 and alarm unit 206, and described display unit 205 is used for showing described comparison result, and described alarm unit 206 is for carrying out alarm to abnormal material described to be measured. Other modules and the described material detection system 100 of described material detection system 200 relative to module identical.
It it is more than the better embodiment of material provided by the invention detection system and detection method thereof; the restriction to rights protection scope of the present invention can not be interpreted as; those skilled in the art should know; without departing from the inventive concept of the premise; also can do multiple improvement or replacement; all of such improvement or replacement all should in the scope of the present invention, and namely the scope of the present invention should be as the criterion with claim.

Claims (10)

1. a material detection system, it at least includes:
Memory element, being used for storing normal data, the data of definition standard material specific region image and/or the size data of described standard material is normal data;
Sensing unit, the signal come for sensing determinand in region to be measured to expect;
Image acquisition units, for according to described signal, gathering the testing data of described material to be measured, the data of material described to be measured identical described specific region image and/or the size of described material to be measured that definition collects are testing data;
Image comparing unit, is used for receiving described testing data, and described testing data and normal data is compared, obtain comparison result.
2. material detection system as claimed in claim 1, it is characterised in that: described memory element is additionally operable to store described testing data and/or described comparison result, and described comparison result includes the result whether described material to be measured is abnormal.
3. material detection system as claimed in claim 2, it is characterised in that: described material detection system also includes a display unit, and described display unit is used for showing described comparison result.
4. material detection system as claimed in claim 2, it is characterised in that: described material detection system also includes an alarm unit, and described alarm unit is for carrying out alarm to abnormal material described to be measured.
5. material detection system as claimed in claim 1, it is characterized in that: described material detection system also includes a material delivery unit, a light illuminating unit and a pickup unit, described material delivery unit is used for transmitting material to be measured, and described material to be measured is sent to a region to be measured, described light illuminating unit is at least for irradiating the specific region of described material to be measured, and described pickup unit is for picking up material abnormal in material to be measured.
6. material detection system as claimed in claim 5, it is characterized in that: described material detection system also includes a shade, described shade at least has a receiving space, and at least described light illuminating unit, image acquisition units and described region to be measured are positioned at described receiving space.
7. material detection system as claimed in claim 1, it is characterised in that: being provided with at least one in described icon, labelling or circuit on described material to be measured, described specific region is the icon on described material to be measured, labelling or circuit region.
8. a material detection method, it at least comprises the following steps:
The normal data of storage standard material, and a region to be measured is provided, define the data of described standard material specific region image and/or the size data of described standard material are described normal data, define the data of described standard material specific region image and/or the size data of described standard material are normal data;
Sense determinand in region to be measured and expect the signal come;
According to described signal, gather the testing data of described material to be measured, define the data of described material specific region to be measured image and/or the size data of described material to be measured are testing data;
Receiving described testing data, and described testing data and normal data are compared, obtain comparison result, described normal data is the data of standard material identical described specific region image.
9. material detection method as claimed in claim 8, it is characterised in that: described detection method is additionally included in the step after obtaining described comparison result, described comparison result displayed.
10. material detection method as claimed in claim 8, it is characterised in that: described detection method is additionally included in the step that abnormal material described to be measured carries out after obtaining described comparison result alarm.
CN201410705089.1A 2014-11-28 2014-11-28 Material detection system and detection method thereof Pending CN105628710A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410705089.1A CN105628710A (en) 2014-11-28 2014-11-28 Material detection system and detection method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410705089.1A CN105628710A (en) 2014-11-28 2014-11-28 Material detection system and detection method thereof

Publications (1)

Publication Number Publication Date
CN105628710A true CN105628710A (en) 2016-06-01

Family

ID=56043847

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410705089.1A Pending CN105628710A (en) 2014-11-28 2014-11-28 Material detection system and detection method thereof

Country Status (1)

Country Link
CN (1) CN105628710A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109919940A (en) * 2019-03-28 2019-06-21 北京三快在线科技有限公司 A kind of item detection systems and method
CN110006923A (en) * 2019-04-23 2019-07-12 Oppo广东移动通信有限公司 A kind of label quality detecting method, device and computer readable storage medium
CN110102906A (en) * 2019-05-10 2019-08-09 定颖电子(黄石)有限公司 A kind of radium carves stamp system and radium carves stamp technique
CN110189142A (en) * 2019-04-23 2019-08-30 北京三快在线科技有限公司 A kind of string Cargo Inspection examining system and method

Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1576831A (en) * 2003-07-02 2005-02-09 优志旺电机株式会社 Wiring pattern check up apparatus
CN1773301A (en) * 2004-11-11 2006-05-17 三星电子株式会社 Inspection apparatus for display panel and method for testing the same apparatus for the same display panel assembly
CN1800836A (en) * 2004-12-24 2006-07-12 奥林巴斯株式会社 Image testing device
CN1954204A (en) * 2004-05-14 2007-04-25 光子动力学公司 Improved inspection of TFT LCD panels using on-demand automated optical inspection sub-system
CN101251496A (en) * 2007-02-19 2008-08-27 奥林巴斯株式会社 Defect detection device and defect detection method
CN101251658A (en) * 2008-03-12 2008-08-27 友达光电股份有限公司 Display quality testing apparatus and testing method
WO2010149403A1 (en) * 2009-06-22 2010-12-29 Asml Netherlands B.V. Object inspection systems and methods
CN102803917A (en) * 2009-06-18 2012-11-28 夏普株式会社 Defect inspection method and defect inspection device for display panel
CN102809570A (en) * 2011-05-30 2012-12-05 东京毅力科创株式会社 Substrate inspection apparatus, method for operating the same and storage medium
CN202676612U (en) * 2012-07-19 2013-01-16 华南师范大学 Device used for testing LED circuit chip
CN202903692U (en) * 2012-09-06 2013-04-24 北京京东方光电科技有限公司 Array substrate detection equipment
CN103196914A (en) * 2012-01-06 2013-07-10 株式会社其恩斯 Visual inspection device and visual inspection method
CN103196917A (en) * 2013-03-13 2013-07-10 同济大学 CCD linear array camera-based online rolled sheet material surface flaw detection system and detection method thereof
CN103439339A (en) * 2013-09-02 2013-12-11 深圳市华星光电技术有限公司 Defect detection device and method for liquid crystal display panel with polarizing film
CN103885217A (en) * 2014-03-10 2014-06-25 京东方科技集团股份有限公司 Method and device for detecting liquid crystal display panel column-shaped shock insulator defects
CN104101608A (en) * 2014-07-01 2014-10-15 南京航空航天大学 Intelligent detecting device for detecting defects of multi-type irregularly shaped product
CN104198833A (en) * 2014-07-18 2014-12-10 技嘉科技股份有限公司 Detecting system and method for automatically recognizing special pattern

Patent Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1576831A (en) * 2003-07-02 2005-02-09 优志旺电机株式会社 Wiring pattern check up apparatus
CN1954204A (en) * 2004-05-14 2007-04-25 光子动力学公司 Improved inspection of TFT LCD panels using on-demand automated optical inspection sub-system
CN1773301A (en) * 2004-11-11 2006-05-17 三星电子株式会社 Inspection apparatus for display panel and method for testing the same apparatus for the same display panel assembly
CN1800836A (en) * 2004-12-24 2006-07-12 奥林巴斯株式会社 Image testing device
CN101251496A (en) * 2007-02-19 2008-08-27 奥林巴斯株式会社 Defect detection device and defect detection method
CN101251658A (en) * 2008-03-12 2008-08-27 友达光电股份有限公司 Display quality testing apparatus and testing method
CN102803917A (en) * 2009-06-18 2012-11-28 夏普株式会社 Defect inspection method and defect inspection device for display panel
WO2010149403A1 (en) * 2009-06-22 2010-12-29 Asml Netherlands B.V. Object inspection systems and methods
CN102809570A (en) * 2011-05-30 2012-12-05 东京毅力科创株式会社 Substrate inspection apparatus, method for operating the same and storage medium
CN103196914A (en) * 2012-01-06 2013-07-10 株式会社其恩斯 Visual inspection device and visual inspection method
CN202676612U (en) * 2012-07-19 2013-01-16 华南师范大学 Device used for testing LED circuit chip
CN202903692U (en) * 2012-09-06 2013-04-24 北京京东方光电科技有限公司 Array substrate detection equipment
CN103196917A (en) * 2013-03-13 2013-07-10 同济大学 CCD linear array camera-based online rolled sheet material surface flaw detection system and detection method thereof
CN103439339A (en) * 2013-09-02 2013-12-11 深圳市华星光电技术有限公司 Defect detection device and method for liquid crystal display panel with polarizing film
CN103885217A (en) * 2014-03-10 2014-06-25 京东方科技集团股份有限公司 Method and device for detecting liquid crystal display panel column-shaped shock insulator defects
CN104101608A (en) * 2014-07-01 2014-10-15 南京航空航天大学 Intelligent detecting device for detecting defects of multi-type irregularly shaped product
CN104198833A (en) * 2014-07-18 2014-12-10 技嘉科技股份有限公司 Detecting system and method for automatically recognizing special pattern

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109919940A (en) * 2019-03-28 2019-06-21 北京三快在线科技有限公司 A kind of item detection systems and method
CN109919940B (en) * 2019-03-28 2020-08-07 北京三快在线科技有限公司 Article detection system and method
CN110006923A (en) * 2019-04-23 2019-07-12 Oppo广东移动通信有限公司 A kind of label quality detecting method, device and computer readable storage medium
CN110189142A (en) * 2019-04-23 2019-08-30 北京三快在线科技有限公司 A kind of string Cargo Inspection examining system and method
CN110006923B (en) * 2019-04-23 2021-07-09 Oppo广东移动通信有限公司 Label quality detection method and device and computer readable storage medium
CN110102906A (en) * 2019-05-10 2019-08-09 定颖电子(黄石)有限公司 A kind of radium carves stamp system and radium carves stamp technique

Similar Documents

Publication Publication Date Title
CN102253048B (en) Machine vision detection method and system for detection of various products
CN105388162B (en) Raw material silicon chip surface scratch detection method based on machine vision
CN204789548U (en) Food detection device
CN105628710A (en) Material detection system and detection method thereof
CN103645382B (en) On-line battery internal resistance measuring apparatus and measuring method thereof
CN103529055A (en) PCB (printed circuit board) automatic inspection device
CN104118609A (en) Labeling quality detecting method and device
CN103792705A (en) Detecting method and detecting device for detecting substrate defects
CN103886294A (en) Method and system for recognizing number of movement times of arrester for convertor station based on images
CN106771525B (en) Voltage detection method, device and voltage tester
CN112419229A (en) Display screen linear defect detection method and device and storage medium
CN104931505A (en) Machine visual surface detection system
CN204448634U (en) A kind of ceramic tile detect and select system
CN109309022A (en) A kind of defect sampling observation method
CN112304969A (en) Display module detection device, method, apparatus and system and storage medium
CN104637833B (en) Crystal grain selection method and bad crystal map generation method
CN104390982A (en) Test method for SMT first article inspection
CN209116975U (en) The assembly precision detection device of a kind of electronic equipment screen assembly
CN103616384A (en) Online multi-parameter water quality detector
CN101368923A (en) Apparatus and method for detecting impurity in milk
CN104107806A (en) LED crystal grain selecting system assisted by computer visual output image recognition and method thereof
CN106841522A (en) A kind of gas monitoring method
CN104459516A (en) Testing method used for SMT first article detection
CN105719267A (en) Method and system for feeding materials by recognizing front and back sides of button
CN102130031B (en) Method for detecting wafer

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Address after: 321016 No. 333, Chung Xue street, Wucheng District, Jinhua, Zhejiang.

Applicant after: Zhejiang Lai Bao Technology Co., Ltd.

Address before: 321016 No. 333, Chung Xue street, Wucheng District, Jinhua, Zhejiang.

Applicant before: Zhejiang Jinley Coating Co., Ltd.

CB02 Change of applicant information
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20160601

WD01 Invention patent application deemed withdrawn after publication