CN102840836A - Assembly clearance detection method and device based on machine vision - Google Patents
Assembly clearance detection method and device based on machine vision Download PDFInfo
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- CN102840836A CN102840836A CN2012103573097A CN201210357309A CN102840836A CN 102840836 A CN102840836 A CN 102840836A CN 2012103573097 A CN2012103573097 A CN 2012103573097A CN 201210357309 A CN201210357309 A CN 201210357309A CN 102840836 A CN102840836 A CN 102840836A
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Abstract
The invention relates to an assembly clearance detection method and a device based on machine vision, and the device consists of an image acquisition hardware and an intelligent recognition software. On one hand, the intelligent recognition software obtains different light conditions through controlling a light source control system, obtains two assembly clearance images respectively, and processes the two images respectively so as to obtain edge positions at both ends of the assembly clearance; and obtains a measured value of an assembly clearance through calculating a relative distance between the edge positions of the assembly clearance. On the other hand, the intelligent recognition software sets image acquisition parameters through controlling an image acquisition system, obtains two assembly clearance images respectively under different acquisition parameters, and processes the two images respectively so as to obtain the edge positions at the both ends of the assembly clearance; and obtains the measured value of the assembly clearance through calculating the relative distance between the edge positions of the assembly clearance. The detection method improves stability and accuracy of a detection model.
Description
Technical field
The present invention relates to a kind of fit-up gap detection method and device, refer in particular to the Machine Vision Detection stage division and the device of high precision fit-up gap.
Background technology
The gap of assembling is meant when workpiece assembles; Gap between workpiece and the workpiece; Normal workpiece is in order to satisfy matching requirements; Workpiece added added suitable tolerance man-hour, but because machining precision and detection, the assembling of workpiece sometimes can not be satisfied the requirement of product appearance and usability.Therefore, we need detect the gap between the workpiece after the assembling, make it not influence product appearance and usability.
Traditional gap detection mainly adopts manual measurement, and survey instrument has: slide calliper rule, slip gauge, feeler gauge, clearance gauge, divider and laser.There is following defective in above-mentioned measuring method: 1, the user measure gimmick and the technology all can certain influence be arranged to testing result; 2, measure the back supvr and can't know the measuring method of data and measure definition that the staff record analysis of data is easy to generate mistake; 3, measuring interface profile can't record; 4, metering system is that contact causes the surface to move or distortion easily, even damages measured surface; 5, measure cleaning and the maintenance that needs periodicity, avoid the metal tools oxidation; 6, measure each workpiece and all can receive its classification, size, shape limits, and can be influential on the irregular surface of measurement; 7, laser measurement also can't be measured atomic little gap (below the 0.1mm) except above 6 defectives.
Machine vision technique adopts the high resolving power picture pick-up device, the fit-up gap image is gathered, and handles and analyzes.Can not influence data repeatability when the gap is measured, and intelligentized identification software can realize data recording and analysis, and can carry out record, the convenient contrast and the analysis of data in the future the picture of the cross section profile measured because of user's measuring technique.Fit-up gap detection technique based on machine vision adopts non-contact measurement, can not impact the measured workpiece surface.It is Polaroid that but existing machine vision detection method adopts; Because the restriction of illumination condition and detected parameters; The classification of examined workpiece, size and shape affects are bigger, can't obtain correct clearance margin during to the measurement irregular surface, can't realize the gap detection of quick nondestructive.
Summary of the invention
The objective of the invention is to overcome above-mentioned deficiency, a kind of accurately quick, high-precision fit-up gap detection method is provided.This method adopts machine vision technique, and secondary imaging is carried out in the fit-up gap, extracts gap edges at two ends information respectively, has eliminated when Polaroid two ends, gap irregular surface to the influence of imaging, obtains clear and clearance margin image accurately.And image handled, draw the clearance measurement value.
Realize the technical measures of above-mentioned purpose:
1, the polishing mode through light-source control system control light-source system, wherein first kind of polishing mode can clearly be obtained the boundary image of an end in gap, and second kind of polishing mode can clearly be obtained the boundary image of the other end in gap.Under the different illumination condition, adopt picture pick-up device to gather two width of cloth fit-up gap images respectively; Images acquired is sent to computing machine through image capture device, and computing machine obtains the marginal information at the two ends in gap respectively from two width of cloth images that collected, through Intelligent Recognition software; Images acquired is handled; Calculate the measured value in gap, the size in gap is judged, provide result of determination.
2, under identical illumination condition; IMAQ condition through Intelligent Recognition software control picture pick-up device; Like shutter speed; Image gain etc., wherein first kind of IMAQ condition can clearly be obtained the boundary image of an end in gap, and second kind of IMAQ condition can clearly be obtained the boundary image of the other end in gap.Under the pictures different acquisition mode, gather two width of cloth fit-up gap images; Images acquired is sent to computing machine through image capture device, and computing machine obtains the marginal information at the two ends in gap respectively from two width of cloth images that collected, through Intelligent Recognition software; Images acquired is handled; Calculate the detected value of fit-up gap, the size in gap is judged, provide result of determination.
Device of the present invention is made up of image acquisition hardware and image recognition software.
Image acquisition hardware is made up of light source, light-source control system, picture pick-up device, image capture device, computing machine.
Light source is the ring-type led light source group of 16 five equilibriums, and light-source control system is controlled by Programmable Logic Controller or input-output card, and light-source control system can be regulated the brightness and the switch of 16 groups of led light sources respectively, realizes multiple combination polishing mode.
The high-precision intelligent identification software can be controlled input-output card and carry out work realization light source control; Simultaneously can send instruction control picture pick-up device image acquisition parameter; Receive the gap pattern that picture pick-up device collects, utilize image processing algorithm that images acquired is handled, obtain clearance margin information; The marginal position coordinate of record gap, comprehensive two width of cloth edge of image positions draw the measured value in gap.Measurement data is write down and analyzes, provide result of determination.
Description of drawings
Fig. 1 is the fit-up gap pick-up unit structural representation that the present invention is based on machine vision.
Fig. 2 is 16 synoptic diagram such as light-source structure such as branch such as grade.
Fig. 3 is an Intelligent Recognition software processes process flow diagram.
Fig. 4 is an images acquired variation diagram in fit-up gap under the different illumination conditions.
Description of reference numerals:
1---objective table,
2---the test material,
3---light source,
4---light-source control system,
5---picture pick-up device,
6---image capturing system,
7---computing machine,
8---light source base,
9---LED lamp group,
10---the light source center through hole,
11---one end border, first width of cloth gap pattern gap,
12---other end border, second width of cloth gap pattern gap.
Embodiment
Below in conjunction with accompanying drawing the preferred embodiments of the present invention are set forth in detail, thereby protection scope of the present invention is made more explicit defining so that advantage of the present invention and characteristic can be easier to it will be appreciated by those skilled in the art that.
The present invention is made up of image acquisition hardware and Intelligent Recognition software, and image acquisition hardware is made up of light source (3), light-source control system (4), picture pick-up device (5), image capturing system (6), computing machine (7); Intelligent Recognition software comprises light source control, IMAQ control, Flame Image Process, data recording and analysis, result of determination output.
As shown in Figure 1: test material (2) places on the objective table (1), and light source (3) is positioned at directly over the test material (2), and picture pick-up device (5) is positioned at light source (3) top, and is concentric with light source (3) center pit.Intelligent Recognition software is controlled light source (3) through control light-source control system (4), realizes different polishing modes.Intelligent Recognition software carries out the image acquisition parameter setting through control image capturing system (6), controls it simultaneously image is gathered, and image is imported in the computing machine (7), and images acquired is carried out image processing and analyzing, draws recognition result.
Fig. 2 is an above-mentioned said light source (3), and light source (3) center has light source center through hole (10), and light source base (8) is divided into 16 parts, and 16 groups of LED lamp groups (9) are installed on the light source base (8), and LED lamp group (9) is installed horizontal by 60 ° of angles.Light-source control system (4) can be controlled respectively (9) brightness of 16 groups of LED lamp groups and switch, realizes the polishing mode of various combination.
Above-mentioned said Intelligent Recognition software processes flow process is as shown in Figure 3:
1, Intelligent Recognition software is through light-source control system (4) control light source (3) polishing mode; Wherein first kind of polishing mode can clearly be obtained the boundary image of an end in gap, and second kind of polishing mode can clearly be obtained the boundary image of the other end in gap.Under the different illumination condition, adopt picture pick-up device (5) to gather two width of cloth fit-up gap images respectively; Images acquired is sent to computing machine (7) through image capturing system (6), and computing machine (7) obtains the marginal information at the two ends in gap respectively from two width of cloth images that collected, through Intelligent Recognition software; Images acquired is handled; Calculate the measured value in gap, the size in gap is judged, provide result of determination.
2, under identical illumination condition; Intelligent Recognition software is through the IMAQ condition of control picture pick-up device (5); Like shutter speed; Image gain etc., wherein first kind of IMAQ condition can clearly be obtained the boundary image of an end in gap, and second kind of IMAQ condition can clearly be obtained the boundary image of the other end in gap.Under the pictures different acquisition mode, gather two width of cloth fit-up gap images; Images acquired is sent to computing machine (7) through image capturing system (6), and computing machine (7) obtains the marginal information at the two ends in gap respectively from two width of cloth images that collected, through Intelligent Recognition software; Images acquired is handled; Calculate the detected value of fit-up gap, the size in gap is judged, provide result of determination.
Two width of cloth fit-up gap images of Fig. 4 for gathering under the different illumination condition; From image, can find out; Assembling workpiece A profile presents irregular variation; Assembling workpiece B is rule, can't under same illumination condition, get the border of the two simultaneously, and present embodiment is being obtained one end border (11), first width of cloth gap pattern gap, under second kind of polishing mode, obtained second other end border, width of cloth gap pattern gap (12) under first kind of polishing mode.In second width of cloth gap pattern, can see the border of partly assembling workpiece B, but the border is discontinuous, imperfect, this also just secondary imaging carry out the meaning of gap detection.
Above embodiment is more preferably one of embodiment of the present invention, and common variation and the replacement of those skilled in the art in scheme scope of the present invention all should be included in protection scope of the present invention.
Claims (7)
1. fit-up gap pick-up unit based on machine vision; It is characterized in that; This device is made up of image acquisition hardware and Intelligent Recognition software; Wherein, image acquisition hardware is made up of light source (3), light-source control system (4), picture pick-up device (5), image capturing system (6) and computing machine (7); Intelligent Recognition software comprises light source control, IMAQ control, Flame Image Process, data recording and analysis and result of determination output.
2. the fit-up gap pick-up unit based on machine vision according to claim 1 is characterized in that,
Intelligent Recognition software can be controlled light-source control system (4) and realize that light source (3) makes up polishing, can send instruction simultaneously picture pick-up device (5) image acquisition parameter is provided with, and receives the gap pattern that picture pick-up device collects; Utilize image processing algorithm that images acquired is handled; Obtain clearance margin information, the marginal position coordinate of record gap, comprehensive two width of cloth edge of image positions draw the measured value in gap; Measurement data is write down and analyzes, provide result of determination.
3. the fit-up gap pick-up unit based on machine vision according to claim 1 and 2 is characterized in that, test material (2) places on the objective table (1); Light source (3) is positioned at directly over the test material (2); Picture pick-up device (5) is positioned at light source (3) top, and is concentric with light source (3) center pit, and Intelligent Recognition software is controlled light source (3) through control light-source control system (4); Realize different polishing modes; Intelligent Recognition software carries out the image acquisition parameter setting through control image capturing system (6), controls it simultaneously image is gathered, and image is imported in the computing machine (7); Images acquired is carried out image processing and analyzing, draw recognition result.
4. the fit-up gap pick-up unit based on machine vision according to claim 3; Light source (3) center has light source center through hole (10); Light source base (8) is divided into 16 parts, and 16 groups of LED lamp groups (9) are installed on the light source base (8), and LED lamp group (9) is installed horizontal by 60 ° of angles; Light-source control system (4) can be controlled respectively (9) brightness of 16 groups of LED lamp groups and switch, realizes the polishing mode of various combination.
5. based on the gap detection method of claim 4 pick-up unit, it is characterized in that, through light-source control system (4) control light source (3) polishing mode; Wherein first kind of polishing mode can clearly be obtained the boundary image of an end in gap; Second kind of polishing mode can clearly be obtained the boundary image of the other end in gap, under the different illumination condition, adopts picture pick-up device (5) to gather two width of cloth fit-up gap images respectively, and images acquired is sent to computing machine (7) through image capturing system (6); Computing machine (7) obtains the marginal information at the two ends in gap respectively from two width of cloth images that collected; Through Intelligent Recognition software, images acquired is handled, calculate the measured value in gap; Size to the gap is judged, provides result of determination.
6. based on the gap detection method of claim 5 pick-up unit, it is characterized in that, under identical illumination condition; Intelligent Recognition software passes through the IMAQ condition of control picture pick-up device (5), like shutter speed, and image gain etc.; Wherein first kind of IMAQ condition can clearly be obtained the boundary image of an end in gap, and second kind of IMAQ condition can clearly be obtained the boundary image of the other end in gap, under the pictures different acquisition mode, gathers two width of cloth fit-up gap images; Images acquired is sent to computing machine (7) through image capturing system (6), and computing machine (7) obtains the marginal information at the two ends in gap respectively from two width of cloth images that collected, through Intelligent Recognition software; Images acquired is handled; Calculate the detected value of fit-up gap, the size in gap is judged, provide result of determination.
7. based on the gap detection method of claim 6 pick-up unit; It is characterized in that on the one hand, Intelligent Recognition software obtains the different illumination condition through the control light-source control system; Obtain two width of cloth fit-up gap images respectively; Image is handled the edges at two ends position that draws the fit-up gap respectively, draw the measured value of fit-up gap through the relative distance of calculating the fit-up gap marginal position again, on the other hand; Intelligent Recognition software is provided with image acquisition parameter through the control image capturing system; Under different acquisition parameters, obtain two width of cloth fit-up gap images respectively, image is handled the edges at two ends position that draws the fit-up gap respectively, draw the measured value of fit-up gap through the relative distance of calculating the fit-up gap marginal position again.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103234483A (en) * | 2012-12-28 | 2013-08-07 | 深圳华用科技有限公司 | Method and device for detecting parallelism of camera chip |
| CN103389037A (en) * | 2013-07-12 | 2013-11-13 | 东华大学 | Device and method for detecting geometric technical parameters of lighting diffracting optical components |
| CN104061870A (en) * | 2013-03-18 | 2014-09-24 | 神讯电脑(昆山)有限公司 | Clearance measuring method |
| CN106908972A (en) * | 2017-05-11 | 2017-06-30 | 四川长虹电器股份有限公司 | The method that Rimless liquid crystal module screen is assembled with surface frame |
| CN106969720A (en) * | 2017-04-01 | 2017-07-21 | 中国长江三峡集团公司 | Ship lift release mechanism screw thread auxiliary air gap integrated intelligence monitor control system and method |
| CN107081275A (en) * | 2017-04-26 | 2017-08-22 | 麦特达因（苏州）汽车部件有限公司 | A kind of fit-up gap distance detection system and its detection method based on machine vision |
| WO2019052094A1 (en) * | 2017-09-13 | 2019-03-21 | 深圳创怡兴实业有限公司 | Roll shaft surface detection device and detection method thereof |
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| CN113096090A (en) * | 2021-04-07 | 2021-07-09 | 中国工程物理研究院机械制造工艺研究所 | End face gap visual measurement method with chamfer, device, equipment and storage medium |
| CN113959951A (en) * | 2021-11-21 | 2022-01-21 | 天津宏华焊研机器人科技有限公司 | Machine vision device for online detection of workpiece assembly and detection method |
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Cited By (19)
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| CN103234483A (en) * | 2012-12-28 | 2013-08-07 | 深圳华用科技有限公司 | Method and device for detecting parallelism of camera chip |
| CN104061870A (en) * | 2013-03-18 | 2014-09-24 | 神讯电脑(昆山)有限公司 | Clearance measuring method |
| CN104061870B (en) * | 2013-03-18 | 2017-02-08 | 神讯电脑(昆山)有限公司 | Clearance measuring method |
| CN103389037A (en) * | 2013-07-12 | 2013-11-13 | 东华大学 | Device and method for detecting geometric technical parameters of lighting diffracting optical components |
| CN103389037B (en) * | 2013-07-12 | 2016-04-06 | 东华大学 | A kind of illumination diffraction optical element geometric techniques parameter detection device and method |
| CN106969720B (en) * | 2017-04-01 | 2023-01-06 | 中国长江三峡集团公司 | Integrated intelligent monitoring control system and method for thread pair clearance of ship lift safety mechanism |
| CN106969720A (en) * | 2017-04-01 | 2017-07-21 | 中国长江三峡集团公司 | Ship lift release mechanism screw thread auxiliary air gap integrated intelligence monitor control system and method |
| CN107081275B (en) * | 2017-04-26 | 2018-05-04 | 麦特达因（苏州）汽车部件有限公司 | A kind of fit-up gap distance detection system and its detection method based on machine vision |
| CN107081275A (en) * | 2017-04-26 | 2017-08-22 | 麦特达因（苏州）汽车部件有限公司 | A kind of fit-up gap distance detection system and its detection method based on machine vision |
| CN106908972B (en) * | 2017-05-11 | 2020-08-04 | 四川长虹电器股份有限公司 | Method for assembling frameless liquid crystal module screen and face frame |
| CN106908972A (en) * | 2017-05-11 | 2017-06-30 | 四川长虹电器股份有限公司 | The method that Rimless liquid crystal module screen is assembled with surface frame |
| WO2019052094A1 (en) * | 2017-09-13 | 2019-03-21 | 深圳创怡兴实业有限公司 | Roll shaft surface detection device and detection method thereof |
| CN109559314A (en) * | 2019-01-18 | 2019-04-02 | 西南交通大学 | A kind of electromagnetic suspension ball system and its image processing method based on machine vision |
| CN109559314B (en) * | 2019-01-18 | 2023-04-07 | 西南交通大学 | Electromagnetic suspension ball system based on machine vision and image processing method thereof |
| CN112146585A (en) * | 2019-06-28 | 2020-12-29 | 上海飞机制造有限公司 | Method, device and equipment for calculating assembly clearance and storage medium |
| CN113096090A (en) * | 2021-04-07 | 2021-07-09 | 中国工程物理研究院机械制造工艺研究所 | End face gap visual measurement method with chamfer, device, equipment and storage medium |
| CN113096090B (en) * | 2021-04-07 | 2022-12-06 | 中国工程物理研究院机械制造工艺研究所 | End face gap visual measurement method with chamfer, device, equipment and storage medium |
| CN113959951A (en) * | 2021-11-21 | 2022-01-21 | 天津宏华焊研机器人科技有限公司 | Machine vision device for online detection of workpiece assembly and detection method |
| CN114623774A (en) * | 2022-03-14 | 2022-06-14 | 上海华方巨量半导体科技有限公司 | Method for measuring gap between source substrate and receiving substrate for transferring micro-assembly |
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Application publication date: 20121226 |