CN105588841A - Stitch inclination defect detection device based on machine vision - Google Patents
Stitch inclination defect detection device based on machine vision Download PDFInfo
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- CN105588841A CN105588841A CN201610059804.8A CN201610059804A CN105588841A CN 105588841 A CN105588841 A CN 105588841A CN 201610059804 A CN201610059804 A CN 201610059804A CN 105588841 A CN105588841 A CN 105588841A
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- 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
- G01N21/8806—Specially adapted optical and illumination features
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- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
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Abstract
The invention provides a stitch inclination defect detection device based on machine vision. The stitch inclination defect detection device comprises an object platform, an XYZ linear module, an industrial camera, a light source system and a stitch inclination defect detector, wherein a to-be-detected circuit board is placed on the object platform; the industrial camera is arranged on a Z-axis linear sliding table of the XYZ linear module; the XYZ linear module is arranged above the object platform; the light source system and the industrial camera are matched to perform image collection operation on a to-be-detected component; the industrial camera transmits images to the stitch inclination defect detector through a data line; the stitch inclination defect detector comprises an image collection module used for collecting images of the to-be-detected circuit board, and an image processing module; the image processing module is used for detecting the distance between a single stitch and an adjacent stitch of a stitch target region, and judging that the component is provided with an inclined stitch if the difference between the distance and the normal stitch distance is greater than a preset threshold, and the image collection module is connected with the image processing module. The stitch inclination defect detection device is effectively applicable to detection on multiple rows of pin devices.
Description
Technical field
The present invention relates to circuit board stitch inclination defect detection field, in particular, relate to onePlant the circuit board stitch inclination defect checkout gear based on machine vision.
Background technology
Along with the development trend of society, the demand of electronic equipment is constantly increased, thusAnd derive the requirement to producing fast and efficiently integrated circuit. Producing fast integrated circuitProcess in be very easy to cause because of some external factor the stitch inclination of components and parts, ifThere is this defect in the stitch on surface-mounted integrated circuit, will cause product not use or to affectIn service life, therefore, in the production process of integrated circuit, the inclination defect of stitch is detectedSeem particularly necessary.
Main employing manually detected at the stitch inclination defect that carries out circuit board element by enterprise at presentRange estimation mode, not only there is large, the inefficient problem of labour intensity in which, and work peopleMember is as easy as rolling off a log appearance careless omission in long-time high-intensity work, thereby affects stitch inclination defectThe final result detecting. Also there is at present a little to adopt the mode of Digital Image Processing to replace manuallyMode is carried out the method for stitch detection, but main or for the components and parts of single or double stitch,Gather image from stitch side, measures spacing between the pin of stitch, scarce pin by image processing techniquesWith the phenomenon such as askew pin, but this mode cannot be used for having the electronic devices and components of many row's stitch completelyStitch detect.
Summary of the invention
In order to overcome cannot being suitable for of stitch inclination defect detection mode of existing circuit board elementIn the deficiency of many rows pin units test, the invention provides one and be effectively applicable to the inspection of many row's pin devicesThe stitch inclination defect checkout gear based on machine vision of surveying.
The technical solution adopted for the present invention to solve the technical problems is:
A stitch inclination defect checkout gear based on machine vision, comprise article carrying platform,The linear module of XYZ, industrial camera, light-source system and stitch inclination defect detector, to be detectedCircuit board is placed on described article carrying platform, and described industrial camera is arranged on described XYZ linearityOn the Z axis straight line slide unit of module, described XYZ linear module is arranged on described article carrying platformTop, described light-source system has coordinated the IMAQ to components and parts to be detected with industrial cameraWork; Described industrial camera is transferred to stitch inclination defect detector, described pin by data wirePin inclination defect detector comprises the image capture module for gathering circuit board image to be detected,And for detection of the single stitch of stitch target area and the spacing of adjacent stitches, if spacingBe greater than predetermined threshold value with the difference of normal stitch spacing and judge that these components and parts exist the stitch of inclinationImage processing module, described image capture module is connected with described stitch image processing module.
Further, described industrial camera and described light-source system are fixed together, and described light source isTurnkey is drawn together and is laid respectively at described industrial camera four strip sources on four direction all around.
Further again, described device also comprises the quick clip for Quick-clamped circuit board to be detectedTool, described quick-speed jigs is arranged on described article carrying platform.
Further, described article carrying platform has the groove position that two confession circuit boards to be detected are placed.
The linear module of described XYZ comprises that X-axis straight line slide unit, Y-axis straight line slide unit and Z axis are straightLine slide unit, described Z axis straight line slide unit is arranged on X-axis straight line slide unit, described X-axis straight lineSlide unit is arranged on Y-axis straight line slide unit, and described Y-axis straight line slide unit is arranged on described article carrying platformOn.
Beneficial effect of the present invention is mainly manifested in: simple and compact for structure, production cost is low, spiritActive strong, the components and parts stitch inclination defect that can adapt to many row's stitch detects; Work of the present inventionIndustry camera and light-source system can move flexibly in three directions of XYZ axle, realize different high, the IMAQ of components and parts to be detected, realizes multiple to be detected on same circuit board when degree the positionThe independent detection of components and parts.
Brief description of the drawings
Fig. 1 is the structural representation of device of the present invention.
Fig. 2 is the quick-speed jigs structural representation of device of the present invention.
Fig. 3 is industrial camera and the light-source system syndeton schematic diagram of device of the present invention.
Fig. 4 is handling process schematic diagram of the present invention.
Fig. 5 is the flow chart of stitch inclination defect detection method.
Fig. 6 is the schematic diagram of the target area binary image of components and parts to be detected.
Fig. 7 is the schematic diagram that binary image carries out denoising.
Detailed description of the invention
Below in conjunction with accompanying drawing, the invention will be further described.
With reference to Fig. 1～Fig. 7, a kind of stitch inclination defect checkout gear based on machine vision, bagDraw together article carrying platform 1, quick-speed jigs 2, the linear module 3 of XYZ, industrial camera 4, light-source systemAnd computer, components and parts to be detected are placed on described article carrying platform 1, by described quick clipTool 2 can be realized the quick-clamping of components and parts to be detected, and the linear module 3 of described XYZ is fixingAbove article carrying platform 1, described industrial camera 4 is arranged on the linear module 3 of described XYZThe straight line slide unit of Z axis on, described light-source system comprises and lays respectively at described industry shown in Fig. 31,2,3,4 four locational four strip source 5 of camera 4, described light-source system withIndustrial camera 4 has coordinated the image detection work to components and parts to be detected; Described light-source systemFour strip source 5 synchronizations only open one, by opening successively four strip sources5 and utilize industrial camera 4 to carry out four times and take, and DID is passed by data wireBe defeated by computer, finally adopt stitch tilt detection program to enter DID by computerRow is processed; If any one-time detection is to existing inclination stitch to judge unit to be detected in taking for four timesThere is defect in device; Exist inclination stitch to judge if all do not detect in taking for four times to be detectedThere is not defect in components and parts.
Described article carrying platform 1 has two groove positions, and one action is two circuit boards of clamping simultaneously,Two circuit boards are placed on groove position, promote to clamp push pedal by electricity by described quick-speed jigs 2Road board clamping is fixed.
The linear module 3 of described XYZ is fixed on the top of article carrying platform 1, described industrial camera 4Be fixed together with described light-source system, be arranged on the Z axis of the linear module 3 of described XYZOn straight line slide unit, electric machine rotation on Z axis straight line slide unit, can realize industrial camera on move downMoving, to gather the components and parts to be detected initial data image clearly in differing heights. DescribedElectric machine rotation on the X-axis straight line slide unit of the linear module 3 of XYZ, the left side that can realize industrial cameraMove right, electric machine rotation on Y-axis straight line slide unit, can realize moving forward and backward of industrial camera,The interlock of X-axis and y-axis motor can realize any movement of industrial camera in horizontal plane direction,Make described industrial camera 4 and light-source system be positioned at components and parts to be detected center directly over, fromAnd realize detecting separately successively of multiple components and parts to be detected on circuit board.
Four strip sources 5 of described light-source system are complied with 1,2,3,4 order shown in Fig. 3Inferior opening, coordinates described industrial camera 4 to complete the collection of four images of components and parts to be detected.
Before described stitch angle detection starts, the position of components and parts to be detected on circuit board,Size and normal stitch spacing are wanted input program. The position of components and parts to be detected letter on circuit boardBreath can obtain according to the design drawing of circuit board, and size and normal stitch spacing are by initial markDetermine Procedure Acquisition. Finally can record the components and parts position of circuit board to be detected, and relevantThe components and parts size of position, normal stitch pitch information.
The testing process of described stitch angle detection comprises the following steps:
Step S100: the image that receives components and parts to be detected;
Step S101: according to known components and parts size to be detected, to be detected on acquisition cuicuit plateThe target area of components and parts and normal stitch spacing, default spacing threshold value; Employing one dimension maximumEntropy method is obtained the target area binary image of components and parts to be detected, as Fig. 6;
Step S102: the binary image that step S101 is obtained carries out denoising, will schemeThe area pixel value that in picture, white connected region area is less than threshold value is set to 0, as Fig. 7;
Step S103: from the stitch in the upper left corner, obtain this stitch and the right adjacent stitchesLevel interval, with the vertical interval of following adjacent stitches.
Step S104: the level interval that determining step 103 records and vertical interval and normal separationDifference whether be all less than default spacing threshold value (get normal separation 10%);
Step S105: if the judged result of step S104 be no (judge level with vertical betweenApart from undesired), judge that these components and parts exist inclination stitch; Otherwise execution step S106;
Step S106: judge whether to exist next stitch, as otherwise finish, otherwise detect nextStitch, execution step S103.
4 pairs of handling processes of the present invention are described in further detail by reference to the accompanying drawings:
1. the position of components and parts to be detected, size and normal pin on calibration process acquisition cuicuit platePin spacing, and these input informations are arrived to described computer-controlled program.
2. circuit board to be detected is placed on the fixed position of described article carrying platform, uses fastFixture Quick-clamped circuit board to be detected, start-up routine.
3. according to known components and parts to be detected position, control described industrial camera and light-source systemBe moved horizontally to the coordinate position of first components and parts to be detected.
4. first open as the strip source at 1 place, Fig. 3 position, coordinate described industrial camera collectionFirst image of components and parts to be detected.
5. computer program counting zero clearing.
6. described in, computer obtains the image collecting.
7. described in, computer detects and exports corresponding testing result to DID,Stitch tilt detection program circuit is with reference to Fig. 5, and counting adds 1, output detections result.
8. judge testing result, testing result is that defective components and parts judge that components and parts do not conform toLattice, carry out the 11st step, otherwise carry out the 9th step.
9. judge whether counting equals 4, and judged result is yes, judges that components and parts are qualified, holdsRow the 11st step, otherwise carry out the 10th step.
10. by opening next strip source as Fig. 3 order, gather first first device to be detectedNext of a part image, carries out the 7th step.
Described industrial camera and described light-source system are moved horizontally to next unit to be detected by 11.The coordinate position of device. Return to the 4th step, until complete units to be detected all on circuit boardThe detection of device.
Above-described embodiment is preferred embodiment of the present invention, is not to technical solution of the present inventionRestriction, as long as what can realize on the basis of above-described embodiment without creative workTechnical scheme, all should be considered as falling within the scope of the rights protection of patent of the present invention.
Claims (5)
1. the stitch inclination defect checkout gear based on machine vision, is characterized in that: described inspectionSurvey device and comprise that article carrying platform, the linear module of XYZ, industrial camera, light-source system and stitch inclineTiltedly defect detector, circuit board to be detected is placed on described article carrying platform, described industrial cameraBe arranged on the Z axis straight line slide unit of the linear module of described XYZ the linear module peace of described XYZBe contained in the top of described article carrying platform, described light-source system has coordinated to be checked with industrial cameraSurvey the IMAQ work of components and parts; Described industrial camera is transferred to stitch by data wireDefect detector, described stitch inclination defect detector comprises for gathering circuit board figure to be detectedThe image capture module of picture, and for detection of single stitch and the adjacent needles of stitch target areaThe spacing of pin, if spacing is greater than predetermined threshold value with the difference of normal stitch spacing, judges this yuanThere is the stitch image processing module of inclination, described image capture module and described stitch in deviceImage processing module connects.
2. the stitch inclination defect checkout gear based on machine vision as claimed in claim 1, its spyLevy and be: described industrial camera and described light-source system are fixed together, described light-source system bagDraw together and lay respectively at described industrial camera four strip sources on four direction all around.
3. the stitch inclination defect checkout gear based on machine vision as claimed in claim 1 or 2,It is characterized in that: described device also comprises the quick-speed jigs for Quick-clamped circuit board to be detected,Described quick-speed jigs is arranged on described article carrying platform.
4. the stitch inclination defect checkout gear based on machine vision as claimed in claim 1 or 2,It is characterized in that: the groove position that described article carrying platform has two confession circuit boards to be detected to place.
5. the stitch inclination defect checkout gear based on machine vision as claimed in claim 1 or 2,It is characterized in that: the linear module of described XYZ comprises X-axis straight line slide unit, Y-axis straight line slide unitWith Z axis straight line slide unit, described Z axis straight line slide unit is arranged on X-axis straight line slide unit, described XAxle straight line slide unit is arranged on Y-axis straight line slide unit, and described Y-axis straight line slide unit is arranged on described carryingOn thing platform.
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| CN201610059804.8A CN105588841A (en) | 2016-01-28 | 2016-01-28 | Stitch inclination defect detection device based on machine vision |
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| CN201610059804.8A CN105588841A (en) | 2016-01-28 | 2016-01-28 | Stitch inclination defect detection device based on machine vision |
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| CN201610059804.8A Pending CN105588841A (en) | 2016-01-28 | 2016-01-28 | Stitch inclination defect detection device based on machine vision |
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Cited By (16)
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|---|---|---|---|---|
| CN106066334A (en) * | 2016-06-17 | 2016-11-02 | 苏州玻色智能科技有限公司 | A kind of testing agency of the detection device for intelligent terminal touch screen cover sheet |
| CN106066333A (en) * | 2016-08-04 | 2016-11-02 | 西南交通大学 | Curved surface part surface profile breakdown diagnosis devices and methods therefor |
| CN107831169A (en) * | 2017-10-26 | 2018-03-23 | 南京矽邦半导体有限公司 | A kind of design method of the semiconductor packages defect detecting system based on machine vision |
| CN109085179A (en) * | 2018-09-17 | 2018-12-25 | 周口师范学院 | A kind of board surface flaw detection device and detection method |
| CN109813718A (en) * | 2018-12-30 | 2019-05-28 | 江苏四点灵机器人有限公司 | A kind of LED chip module defect detecting device and method |
| CN110376205A (en) * | 2019-07-03 | 2019-10-25 | 浙江大学 | A kind of production line remnants pipe tobacco detection system based on machine vision |
| CN110421568A (en) * | 2019-08-23 | 2019-11-08 | 中源智人科技（深圳）股份有限公司 | A kind of abnormity electronic component plug-in component machine people's laser orientation system |
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| CN111999309A (en) * | 2020-09-03 | 2020-11-27 | 深圳市科斯福科技有限公司 | Positioning column defect industrial vision detection equipment and detection method |
| CN112730424A (en) * | 2020-12-11 | 2021-04-30 | 上海大学 | Aviation plug pin defect detection device and method |
| CN112763942A (en) * | 2020-12-11 | 2021-05-07 | 上海大学 | Aviation plug abnormal pin detection device |
| CN112763493A (en) * | 2019-11-05 | 2021-05-07 | 华硕电脑股份有限公司 | Appearance image capturing device and appearance detection device comprising same |
| CN113702396A (en) * | 2021-10-28 | 2021-11-26 | 四川京龙光电科技有限公司 | Visual inspection equipment for LCD screen backlight assembly |
| CN114392940A (en) * | 2021-12-10 | 2022-04-26 | 武汉纺织大学 | Stitch detection method and device for special-shaped component |
| CN114543708A (en) * | 2022-02-22 | 2022-05-27 | 徐工汉云技术股份有限公司 | Copper starting sheet perpendicularity detection system and method |
| CN117314913A (en) * | 2023-11-29 | 2023-12-29 | 深圳市康准科技有限公司 | Water-light needle defective product detection method and system based on visual identification |
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| CN106066334A (en) * | 2016-06-17 | 2016-11-02 | 苏州玻色智能科技有限公司 | A kind of testing agency of the detection device for intelligent terminal touch screen cover sheet |
| CN106066334B (en) * | 2016-06-17 | 2018-09-28 | 苏州玻色智能科技有限公司 | A kind of testing agency of detection device for intelligent terminal touch screen cover sheet |
| CN106066333A (en) * | 2016-08-04 | 2016-11-02 | 西南交通大学 | Curved surface part surface profile breakdown diagnosis devices and methods therefor |
| CN106066333B (en) * | 2016-08-04 | 2019-08-06 | 西南交通大学 | Curved surface part surface profile breakdown diagnosis devices and methods therefor |
| CN107831169A (en) * | 2017-10-26 | 2018-03-23 | 南京矽邦半导体有限公司 | A kind of design method of the semiconductor packages defect detecting system based on machine vision |
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| CN110376205B (en) * | 2019-07-03 | 2020-06-30 | 浙江大学 | Machine vision-based production line residual tobacco shred detection system |
| CN110376205A (en) * | 2019-07-03 | 2019-10-25 | 浙江大学 | A kind of production line remnants pipe tobacco detection system based on machine vision |
| CN110421568A (en) * | 2019-08-23 | 2019-11-08 | 中源智人科技（深圳）股份有限公司 | A kind of abnormity electronic component plug-in component machine people's laser orientation system |
| CN112763493A (en) * | 2019-11-05 | 2021-05-07 | 华硕电脑股份有限公司 | Appearance image capturing device and appearance detection device comprising same |
| CN111069078A (en) * | 2019-12-30 | 2020-04-28 | 重庆智能机器人研究院 | Multifunctional visual detection platform |
| CN111999309A (en) * | 2020-09-03 | 2020-11-27 | 深圳市科斯福科技有限公司 | Positioning column defect industrial vision detection equipment and detection method |
| CN112763942A (en) * | 2020-12-11 | 2021-05-07 | 上海大学 | Aviation plug abnormal pin detection device |
| CN112730424A (en) * | 2020-12-11 | 2021-04-30 | 上海大学 | Aviation plug pin defect detection device and method |
| CN113702396A (en) * | 2021-10-28 | 2021-11-26 | 四川京龙光电科技有限公司 | Visual inspection equipment for LCD screen backlight assembly |
| CN114392940A (en) * | 2021-12-10 | 2022-04-26 | 武汉纺织大学 | Stitch detection method and device for special-shaped component |
| CN114392940B (en) * | 2021-12-10 | 2023-11-17 | 武汉纺织大学 | Pin detection method and device for special-shaped component |
| CN114543708A (en) * | 2022-02-22 | 2022-05-27 | 徐工汉云技术股份有限公司 | Copper starting sheet perpendicularity detection system and method |
| CN117314913A (en) * | 2023-11-29 | 2023-12-29 | 深圳市康准科技有限公司 | Water-light needle defective product detection method and system based on visual identification |
| CN117314913B (en) * | 2023-11-29 | 2024-03-29 | 深圳市康准科技有限公司 | Water-light needle defective product detection method and system based on visual identification |
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Application publication date: 20160518 |