CN105115979A - Image mosaic technology-based PCB working sheet AOI (Automatic Optic Inspection) method - Google Patents
Image mosaic technology-based PCB working sheet AOI (Automatic Optic Inspection) method Download PDFInfo
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- CN105115979A CN105115979A CN201510570093.6A CN201510570093A CN105115979A CN 105115979 A CN105115979 A CN 105115979A CN 201510570093 A CN201510570093 A CN 201510570093A CN 105115979 A CN105115979 A CN 105115979A
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Abstract
The invention relates to an image mosaic technology-based PCB working sheet AOI (Automatic Optic Inspection) method. A camera is arranged on a working table of an AOI device and is arranged on an XY plane moving guide rail; PCB working sheets are placed on an inspection area of the working table and are divided into a plurality of shooting areas arranged in a matrix shape; the XY plane moving guide rail drives the camera to reach positions above the centers of the shooting areas in sequence from front to back and from left to right for performing positioning static-state shooting; shot images are stored in an inner memory in the AOI device; and an image processing unit can run in an inner processing unit in the AOI device and can be used for extracting the images in the inner memory and splicing all the images to obtain a complete image by adopting an image mosaic method. According to the method, the AOI on large PCB working sheets can be realized on the premise of not greatly increasing the cost of the devices.
Description
Technical field
The present invention relates to a kind of printed-wiring board (PWB) AOI detection technique field, particularly relate to a kind of method that can realize significantly PCB active gage AOI and detect.
Background technology
The full name of AOI (AutomaticOpticInspection) is automatic optics inspection, is the equipment detected the common deficiency run in welding production based on optical principle.AOI is new one of rising
novelmeasuring technology, but development is rapidly, and a lot of producer is all proposed AOI testing apparatus.Upon automatic detection, machine, by camera autoscan PCB, gathers image, test solder joint and database in qualified parameter compare, through image procossing, check out defect on PCB, and by display or Automatic Logos Flaw display/mark, repair for maintenance personal.
At present, the PCB active gage of significantly typesetting due to its size comparatively large, need to adopt large-scale AOI equipment to detect, this equipment cost is higher.
Because above-mentioned defect, the design people, actively in addition research and innovation, to founding one
based onimage
the PCB active gage AOI detection method of splicing, make it have more value in industry.
Summary of the invention
For solving the problems of the technologies described above, the object of this invention is to provide one
based onimage
the PCB active gage AOI detection method of splicing.
Of the present invention
based onimage
the PCB active gage AOI detection method of splicing, carry out according to following step:
Above the worktable of one, AOI equipment, there is a camera, described camera is arranged on XY planar movement guide rail, PCB active gage is positioned over the surveyed area of worktable, active gage is divided into the multiple shooting areas in rectangular arrangement, position static shooting above the center that XY planar movement guide rail drives camera to reach each shooting area successively along order from front to back and from left to right, and captured image is stored to during AOI device interior stores;
Two, AOI device interior processing unit runs graphics processing unit, and graphics processing unit extracts the image in storage inside, and uses image split-joint method all image mosaic to be become a complete image.
Further, described image split-joint method carries out in the steps below:
One, in a width blank image nested one divide blank matrix frame consistent and of the same size with active gage shooting area;
Two, all images are inserted in described blank matrix frame along order from front to back and from left to right successively;
Three, blank matrix frame is removed.
Further, before the matrix frame that filled in the blanks by image, by corresponding for the sized central of shooting area corresponding with it for picture centre, and cut off the part that image border exceeds shooting area size.
Further, active gage is divided into 4 to 9 shooting areas in rectangular arrangement.
Further, active gage is divided into 6 shooting areas in rectangular arrangement.
Further, the exposure of camera when different shooting area is taken is identical.
By such scheme, the present invention at least has the following advantages: the present invention was by being divided into a shooting area for rule by active gage, make camera successively arrive assigned address by regular movement to carry out static shooting of fixing a point, according to regular order, the image mosaic of dispersion is become complete surface sweeping finally by graphics processing unit
figure, achieve under the prerequisite increasing equipment cost not significantly, the AOI completing significantly PCB active gage detects.
Above-mentioned explanation is only this
inventionthe general introduction of technical scheme, in order to better understand technological means of the present invention, and can be implemented according to the content of instructions, be described in detail below with preferred embodiment of the present invention.
Embodiment
Below in conjunction with embodiment, the specific embodiment of the present invention is described in further detail.Following examples for illustration of the present invention, but are not used for limiting the scope of the invention.
A kind of
based onimage
the PCB active gage AOI detection method of splicing, carry out according to following step:
One, there is above the worktable of AOI equipment a camera, described camera is arranged on XY planar movement guide rail, PCB active gage is positioned over the surveyed area of worktable, multiple shooting areas that active gage is divided in rectangular arrangement (vary in size according to active gage specification and arrange 4-9 respectively, general is good with 6), static shooting is positioned above the center that XY planar movement guide rail drives camera to reach each shooting area successively along order from front to back and from left to right, the exposure of camera when different shooting area is taken is identical, and captured image is stored in the storage of AOI device interior,
Two, AOI device interior processing unit runs graphics processing unit, and graphics processing unit extracts the image in storage inside, and uses image split-joint method all image mosaic to be become a complete image.
Wherein, described image split-joint method carries out in the steps below:
One, in a width blank image nested one divide blank matrix frame consistent and of the same size with active gage shooting area;
Two, all images are inserted in described blank matrix frame along order from front to back and from left to right successively, before matrix frame that image is filled in the blanks, by corresponding for the sized central of shooting area corresponding with it for picture centre, and cut off the part that image border exceeds shooting area size;
Three, blank matrix frame is removed.
The above is only the preferred embodiment of the present invention; be not limited to the present invention; should be understood that; for those skilled in the art; under the prerequisite not departing from the technology of the present invention principle; can also make some improvement and modification, these improve and modification also should be considered as protection scope of the present invention.
Claims (6)
1., based on a PCB active gage AOI detection method for image mosaic technology, it is characterized in that: carry out according to following step:
Above the worktable of one, AOI equipment, there is a camera, described camera is arranged on XY planar movement guide rail, PCB active gage is positioned over the surveyed area of worktable, active gage is divided into the multiple shooting areas in rectangular arrangement, position static shooting above the center that XY planar movement guide rail drives camera to reach each shooting area successively along order from front to back and from left to right, and captured image is stored to during AOI device interior stores;
Two, AOI device interior processing unit runs graphics processing unit, and graphics processing unit extracts the image in storage inside, and uses image split-joint method all image mosaic to be become a complete image.
2. the PCB active gage AOI detection method based on image mosaic technology according to claim 1, is characterized in that: described image split-joint method carries out in the steps below:
One, in a width blank image nested one divide blank matrix frame consistent and of the same size with active gage shooting area;
Two, all images are inserted in described blank matrix frame along order from front to back and from left to right successively;
Three, blank matrix frame is removed.
3. the PCB active gage AOI detection method based on image mosaic technology according to claim 2, it is characterized in that: before matrix frame that image is filled in the blanks, by corresponding for the sized central of shooting area corresponding with it for picture centre, and cut off the part that image border exceeds shooting area size.
4. the PCB active gage AOI detection method based on image mosaic technology according to claim 1, is characterized in that: active gage is divided into 4 to 9 shooting areas in rectangular arrangement.
5. the PCB active gage AOI detection method based on image mosaic technology according to claim 4, is characterized in that: active gage is divided into 6 shooting areas in rectangular arrangement.
6. the PCB active gage AOI detection method based on image mosaic technology according to claim 1, is characterized in that: the exposure of camera when different shooting area is taken is identical.
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| CN201510570093.6A CN105115979A (en) | 2015-09-09 | 2015-09-09 | Image mosaic technology-based PCB working sheet AOI (Automatic Optic Inspection) method |
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Cited By (10)
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| CN106645203A (en) * | 2017-02-13 | 2017-05-10 | 广州视源电子科技股份有限公司 | Image acquisition method and device |
| CN107040725A (en) * | 2017-05-15 | 2017-08-11 | 惠科股份有限公司 | Coordinate correction method of image acquisition device and image acquisition device |
| CN108072659A (en) * | 2016-11-11 | 2018-05-25 | 三星显示有限公司 | More optical visual equipment |
| CN108548824A (en) * | 2018-03-30 | 2018-09-18 | 湖北工程学院 | PVC facial mask detection method and device |
| CN108820953A (en) * | 2018-03-30 | 2018-11-16 | 湖北工程学院 | PVC facial mask detection method and device |
| CN110363737A (en) * | 2018-04-08 | 2019-10-22 | 深圳技术大学（筹） | A kind of image to be detected acquisition methods and image to be detected obtain system |
| CN110658215A (en) * | 2019-09-30 | 2020-01-07 | 武汉纺织大学 | PCB automatic splicing detection method and device based on machine vision |
| CN110977154A (en) * | 2019-12-05 | 2020-04-10 | 苏州领鹿智能科技有限公司 | Positioning marking method suitable for large breadth |
| CN114827429A (en) * | 2021-01-19 | 2022-07-29 | 苏州浩科通电子科技有限公司 | Large-area image recognition and detection method for tiny target |
| CN118014832A (en) * | 2024-04-09 | 2024-05-10 | 深圳精智达技术股份有限公司 | Image stitching method and related device based on linear feature invariance |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108072659A (en) * | 2016-11-11 | 2018-05-25 | 三星显示有限公司 | More optical visual equipment |
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| CN106645203A (en) * | 2017-02-13 | 2017-05-10 | 广州视源电子科技股份有限公司 | Image acquisition method and device |
| CN107040725A (en) * | 2017-05-15 | 2017-08-11 | 惠科股份有限公司 | Coordinate correction method of image acquisition device and image acquisition device |
| CN107040725B (en) * | 2017-05-15 | 2021-04-30 | 惠科股份有限公司 | Coordinate correction method of image acquisition device and image acquisition device |
| CN108548824B (en) * | 2018-03-30 | 2021-03-26 | 湖北工程学院 | PVC (polyvinyl chloride) mask detection method and device |
| CN108820953A (en) * | 2018-03-30 | 2018-11-16 | 湖北工程学院 | PVC facial mask detection method and device |
| CN108548824A (en) * | 2018-03-30 | 2018-09-18 | 湖北工程学院 | PVC facial mask detection method and device |
| CN110363737A (en) * | 2018-04-08 | 2019-10-22 | 深圳技术大学（筹） | A kind of image to be detected acquisition methods and image to be detected obtain system |
| CN110363737B (en) * | 2018-04-08 | 2022-07-26 | 深圳技术大学（筹） | Method and system for acquiring image to be detected |
| CN110658215A (en) * | 2019-09-30 | 2020-01-07 | 武汉纺织大学 | PCB automatic splicing detection method and device based on machine vision |
| CN110658215B (en) * | 2019-09-30 | 2022-04-22 | 武汉纺织大学 | PCB automatic splicing detection method and device based on machine vision |
| CN110977154A (en) * | 2019-12-05 | 2020-04-10 | 苏州领鹿智能科技有限公司 | Positioning marking method suitable for large breadth |
| CN114827429A (en) * | 2021-01-19 | 2022-07-29 | 苏州浩科通电子科技有限公司 | Large-area image recognition and detection method for tiny target |
| CN118014832A (en) * | 2024-04-09 | 2024-05-10 | 深圳精智达技术股份有限公司 | Image stitching method and related device based on linear feature invariance |
| CN118014832B (en) * | 2024-04-09 | 2024-07-26 | 深圳精智达技术股份有限公司 | Image stitching method and related device based on linear feature invariance |
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Application publication date: 20151202 |