CN103697838A - Machine vision technology-based surface mounted device PIN smoothness detection equipment - Google Patents
Machine vision technology-based surface mounted device PIN smoothness detection equipment Download PDFInfo
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- CN103697838A CN103697838A CN201310745771.9A CN201310745771A CN103697838A CN 103697838 A CN103697838 A CN 103697838A CN 201310745771 A CN201310745771 A CN 201310745771A CN 103697838 A CN103697838 A CN 103697838A
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Abstract
The invention discloses machine vision technology-based surface mounted device PIN smoothness detection equipment, which comprises four parts, i.e. an optical system, a photographic system, an image acquisition card and a testing terminal, wherein the optical system cooperates with the photographic system to finish image acquisition work on a sample to be tested; the photographic system is used for transmitting original image data to the image acquisition card; the image acquisition card is used for processing the original image data into digital image data, and transmitting the data to the testing terminal; the testing terminal is used for processing and discriminating the digital image data, and outputting a corresponding testing result.
Description
Technical field
The present invention relates to paster part PIN pin flatness detection field, more specifically a kind of equipment of realizing the detection of paster part PIN pin flatness based on machine vision technique.
Background technology
The increase of the electronic product market demand at any time, also has higher requirement to the quality of production of electronic devices and components and production efficiency.Wherein especially more obvious to the demand of paster part, and the flatness of paster part PIN pin is to affect the important indicator that paster part is used.
The flatness of paster part PIN pin detects also makes front degree detection, coplane degree detect sometimes.The indexs such as the horizontal linear degree of the stitch of the various electronic devices and components such as the various IC chips of main detection, electric power connector, coplane degree, gap, stitch width.
Electronic product production firm has started to attempt using Machine Vision Inspecting System to substitute original manual detection mode in a large number at present, but due to the requirement of actual user for aspects such as efficiency, precision, automaticities, also there is no on the market a kind of PIN pin roughness detection equipments that can adapt to most of production environment requirement at present.
Summary of the invention
In order to overcome the above problems, the invention discloses a kind of paster part PIN pin roughness detection equipments based on machine vision technique.
The present invention takes following technical scheme to realize: a kind of paster part PIN pin roughness detection equipments based on machine vision technique, comprises optical system, camera system, image pick-up card and four of test terminals part; Above-mentioned optical system and above-mentioned camera system cooperating complete the Image Acquisition work to testing sample, above-mentioned camera system passes to above-mentioned image pick-up card by raw image data, above-mentioned image pick-up card passes to above-mentioned test terminal by these data after raw image data is treated to Digital Image Data again, the corresponding test result of output after finally by above-mentioned test terminal, Digital Image Data being processed and screened.
Technique scheme also comprises following implementation:
Described optical system is comprised of high-brightness LED light source.
Described camera system adopts the technical grade camera of 5,000,000 pixels.
Described image pick-up card is the image pick-up card of gigabit networking port.
Described test terminal has sample type identification (being OCR identification) and PIN pin flatness detects two processing modules.
Advantage of the present invention and beneficial effect, be embodied in the following aspects:
1. the present invention adopts LED light source composition optical system can greatly adapt to factory for the light fixture requirement in serviceable life.
2. the camera system in the present invention adopts the industrial camera of 5,000,000 pixels can effectively meet factory for the requirement of production efficiency and measuring accuracy.
3. due to the present invention, adopt the image pick-up card of gigabit networking port, therefore can realize the Distant Deployment of test terminal and test zone, for the deployment of factory testing line body is provided convenience.
4. because test terminal of the present invention has sample type identification (being OCR identification) processing module, therefore can realize equipment robotization dispose, thereby reach do not need that personnel participate according to test sample type, automatically change the work of parameter.
Accompanying drawing explanation
Fig. 1 is the connection diagram between each several part of the present invention.
Fig. 2 is the treatment scheme of test terminal in the present invention.
Embodiment
Below in conjunction with the connection between 1 pair of each several part of the present invention of accompanying drawing, be further described:
A paster part PIN pin roughness detection equipments based on machine vision technique, comprises optical system, camera system, image pick-up card and four of test terminals part; Above-mentioned optical system and above-mentioned camera system cooperating complete the Image Acquisition work to testing sample, above-mentioned camera system passes to above-mentioned image pick-up card by raw image data, above-mentioned image pick-up card passes to above-mentioned test terminal by these data after raw image data is treated to Digital Image Data again, the corresponding test result of output after finally by above-mentioned test terminal, Digital Image Data being processed and screened.
Described optical system is comprised of high-brightness LED light source.
Described camera system adopts the technical grade camera of 5,000,000 pixels.
Described image pick-up card is the image pick-up card of gigabit networking port.
Described test terminal has sample type identification (being OCR identification) and PIN pin flatness detects two processing modules.
Treatment scheme below in conjunction with test terminal in 2 couples of the present invention of accompanying drawing is further described:
1. according to the image digitization data of input, adopt the processing mode of pattern match to position step, because camera system can produce certain distortion when carrying out image acquisition, in this step, also want calibration and the staking-out work of image dsitortion simultaneously.
2. adopt OCR technology to carry out the identification step of sample type.
3. according to the result judgement of OCR identification step, when carrying out subsequent detection step, whether use original test parameter, need if the judgment is No to carry out the step of changed test parameter.
4. according to test parameter, adopt the processing mode of border retrieval to carry out flatness detecting step, the frontier point of each PIN pin is retrieved and is treated to real space coordinate.
5. according to the result execution result output step of flatness detecting step.
Utilize technical solutions according to the invention, or those skilled in the art being under the inspiration of technical solution of the present invention, designs similar technical scheme, and reaching above-mentioned technique effect, is all to fall into protection scope of the present invention.
Claims (7)
1.
oneplant the paster part PIN pin roughness detection equipments based on machine vision technique, it is characterized in that: comprise optical system, camera system, image pick-up card and four of test terminals part; Above-mentioned optical system and above-mentioned camera system cooperating complete the Image Acquisition work to testing sample, above-mentioned camera system passes to above-mentioned image pick-up card by raw image data, above-mentioned image pick-up card passes to above-mentioned test terminal by these data after raw image data is treated to Digital Image Data again, the corresponding test result of output after finally by above-mentioned test terminal, Digital Image Data being processed and screened.
2. a kind of paster part PIN pin roughness detection equipments based on machine vision technique according to claim 1, is characterized in that: described optical system is comprised of high-brightness LED light source.
3. a kind of paster part PIN pin roughness detection equipments based on machine vision technique according to claim 1, is characterized in that: described camera system adopts the technical grade camera of 5,000,000 pixels.
4. a kind of paster part PIN pin roughness detection equipments based on machine vision technique according to claim 1, is characterized in that: described image pick-up card is the image pick-up card of gigabit networking port.
5. a kind of paster part PIN pin roughness detection equipments based on machine vision technique according to claim 1, is characterized in that: described test terminal has sample type identification (being OCR identification) and PIN pin flatness detects two processing modules.
6. a kind of paster part PIN pin roughness detection equipments based on machine vision technique according to claim 1, is characterized in that: in the part of described test terminal, have the step that adopts the processing mode of pattern match to position.
7. test terminal according to claim 5, is characterized in that: described PIN pin flatness Check processing module adopts the processing mode of border retrieval.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310745771.9A CN103697838A (en) | 2013-12-24 | 2013-12-24 | Machine vision technology-based surface mounted device PIN smoothness detection equipment |
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| CN201310745771.9A CN103697838A (en) | 2013-12-24 | 2013-12-24 | Machine vision technology-based surface mounted device PIN smoothness detection equipment |
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| CN103697838A true CN103697838A (en) | 2014-04-02 |
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| CN201310745771.9A Pending CN103697838A (en) | 2013-12-24 | 2013-12-24 | Machine vision technology-based surface mounted device PIN smoothness detection equipment |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104902264A (en) * | 2015-04-30 | 2015-09-09 | 天津天地伟业数码科技有限公司 | Image flatness detection method of five-million pixel CCD camera |
| CN106327498A (en) * | 2016-08-30 | 2017-01-11 | 福建源光电装有限公司 | Terminal shedding vision detection system and method |
| CN106524942A (en) * | 2016-12-24 | 2017-03-22 | 大连日佳电子有限公司 | Soldering-tin three-dimension surface scanning device |
| CN107941173A (en) * | 2017-12-26 | 2018-04-20 | 宁波金测自动化科技有限公司 | A kind of 3DPIN pins flatness detection technique |
| CN111678466A (en) * | 2020-05-08 | 2020-09-18 | 苏州浪潮智能科技有限公司 | Device and method for testing flatness of SMT (surface mount technology) surface mount connector |
| WO2024007871A1 (en) * | 2022-07-06 | 2024-01-11 | 深圳青澜生物技术有限公司 | Microneedle patch inspection method and apparatus, computer device, and storage medium |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104902264A (en) * | 2015-04-30 | 2015-09-09 | 天津天地伟业数码科技有限公司 | Image flatness detection method of five-million pixel CCD camera |
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| CN106327498B (en) * | 2016-08-30 | 2019-05-21 | 福建源光电装有限公司 | A kind of terminal removal vision detection system and method |
| CN106524942A (en) * | 2016-12-24 | 2017-03-22 | 大连日佳电子有限公司 | Soldering-tin three-dimension surface scanning device |
| CN107941173A (en) * | 2017-12-26 | 2018-04-20 | 宁波金测自动化科技有限公司 | A kind of 3DPIN pins flatness detection technique |
| CN111678466A (en) * | 2020-05-08 | 2020-09-18 | 苏州浪潮智能科技有限公司 | Device and method for testing flatness of SMT (surface mount technology) surface mount connector |
| WO2024007871A1 (en) * | 2022-07-06 | 2024-01-11 | 深圳青澜生物技术有限公司 | Microneedle patch inspection method and apparatus, computer device, and storage medium |
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Application publication date: 20140402 |