CN114417903A - Production line PCBA material number rapid identification system - Google Patents
Production line PCBA material number rapid identification system Download PDFInfo
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- CN114417903A CN114417903A CN202210026081.7A CN202210026081A CN114417903A CN 114417903 A CN114417903 A CN 114417903A CN 202210026081 A CN202210026081 A CN 202210026081A CN 114417903 A CN114417903 A CN 114417903A
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 18
- 238000001514 detection method Methods 0.000 claims abstract description 12
- 230000000007 visual effect Effects 0.000 abstract description 5
- 238000000034 method Methods 0.000 abstract description 3
- 238000001914 filtration Methods 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 239000013589 supplement Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
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Abstract
The invention discloses a production line PCBA material number rapid identification system which comprises an industrial camera control unit, an industrial camera, a light source, a detection area, a network cable and an industrial personal computer, wherein the industrial personal computer is connected with a database, the industrial personal computer is connected with the industrial camera control unit through the network cable, the industrial camera control unit is connected with the industrial camera, and the light source is arranged above the detection area. The invention replaces manual code picking, and reduces the labor cost investment of enterprises; in the visual scanning range, multi-code acquisition is performed, and the production line processing efficiency is improved; fatigue errors caused by manual high-repeatability work are avoided, and the picking is not missed and repeated; the decoding is stable and reliable, and the code picking process under high load can be realized by matching with a production line.
Description
Technical Field
The invention relates to the technical field of automation, in particular to a PCBA material number quick identification system for a production line.
Background
In order to trace the root and the source of each PCBA, a modern automatic equipment production line can print a uniform identification code on the PCBA to serve as a material number for data storage and tracking. Different producers require inconsistent to the type of identification code, there is one-dimensional code, the two-dimensional code, DataMatrix sign indicating number etc, and in order not to cover the electronic device on the PCBA, the size of identification code is often restricted to about 3mm, or littleer, the mode of traditional artifical bar code rifle scanning, not only material number discernment difficulty, and the fatigue error that high repeatability work brought can not avoid, often there is the hourglass inspection, the problem of reinspection, hardly satisfy the code stream requirement of producing the full-load operation of line, what the input of high cost of labor brought is still the efficiency output of low. Therefore, a PCBA material number identification system for a production line that can be accurate, stable, and fast is particularly necessary.
Disclosure of Invention
The invention aims to provide a production line PCBA material number rapid identification system to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a produce quick identification system of line PCBA material number, includes industry camera the control unit, industry camera, light source, detection area, net twine and industrial computer, the industrial computer is connected with the database, the industrial computer is connected with industry camera the control unit through the net twine, industry camera the control unit is connected with industry camera, the detection area top is provided with the light source.
Preferably, the industrial personal computer comprises a QT software development platform, an opencv computer vision library and a linux open source system.
Preferably, the QT software development platform completes upper UI display and corresponding setting operation of the recognition result, the opencv computer vision library provides an open source algorithm for material number recognition, and the linux open source system provides a necessary operating environment for the operation of the whole software.
Preferably, the light sources are provided in total of two.
Preferably, the light source is a cylindrical strip light source.
Compared with the prior art, the invention has the beneficial effects that: manual code picking is replaced, and the labor cost investment of enterprises is reduced; in the visual scanning range, multi-code acquisition is performed, and the production line processing efficiency is improved; fatigue errors caused by manual high-repeatability work are avoided, and the picking is not missed and repeated; the decoding is stable and reliable, and the code picking process under high load can be realized by matching with a production line.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a diagram of the upper software architecture of the industrial personal computer.
In the figure: 1. an industrial camera control unit; 2. an industrial camera; 3. a light source; 4. detecting a region; 5. a network cable; 6. an industrial personal computer; 7. is a database; 601. a QT software development platform; 602. an opencv computer vision library; 603. linux open source system.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1-2, in the embodiment of the invention, a production line PCBA material number rapid identification system comprises an industrial camera control unit 1, an industrial camera 2, a light source 3, a detection area 4, a network cable 5 and an industrial personal computer 6, wherein the industrial personal computer 6 is connected with a database 7, the industrial personal computer 6 is connected with the industrial camera control unit 1 through the network cable 5, the industrial camera control unit 1 is connected with the industrial camera 2, and the light source 3 is arranged above the detection area 4; the industrial personal computer 6 comprises a QT software development platform 601, an opencv computer vision library 602 and a linux open source system 603; the QT software development platform 601 completes the upper UI display and corresponding setting operation of the identification result, the opencv computer vision library 602 provides an open source algorithm for identifying the material number, and the linux open source system 603 provides a necessary running environment for the running of the whole software; two light sources 3 are arranged; the light source 3 adopts a cylindrical strip light source;
the industrial camera control unit 1 is used for processing a frame of visual image acquired by the industrial camera 2 through a series of image processing such as filtering and binarization, and transmitting the processed image to upper software on the industrial personal computer 6 through the network cable 5 for processing, and correspondingly, the upper software on the industrial personal computer 6 can also be used for initializing, adjusting focal length and the like on the industrial camera control unit 1 through the network cable 5; the light supplement adjustment of the two strip-shaped light sources in the detection area 4 can ensure that the illumination intensity in the whole detection area is symmetrical and uniform, and the identification image captured by the industrial camera 2 can meet the identification requirement; the upper software on the industrial personal computer 6 uploads the identified PCBA material number, and the database 7 updates corresponding data.
The working principle of the invention is as follows: the industrial camera control unit 1 is used for processing a frame of visual image acquired by the industrial camera 2 through a series of image processing such as filtering and binarization, and transmitting the processed image to upper software on the industrial personal computer 6 through the network cable 5 for processing, and correspondingly, the upper software on the industrial personal computer 6 can also be used for initializing, adjusting focal length and the like on the industrial camera control unit 1 through the network cable 5; the light supplement adjustment of the two strip-shaped light sources in the detection area 4 can ensure that the illumination intensity in the whole detection area is symmetrical and uniform, and the identification image captured by the industrial camera 2 can meet the identification requirement; uploading the identified PCBA material number by upper software on the industrial personal computer 6, and updating corresponding data by the database 7; manual code picking is replaced, and the labor cost investment of enterprises is reduced; in the visual scanning range, multi-code acquisition is performed, and the production line processing efficiency is improved; fatigue errors caused by manual high-repeatability work are avoided, and the picking is not missed and repeated; the decoding is stable and reliable, and the code picking process under high load can be realized by matching with a production line.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. The utility model provides a produce quick identification system of line PCBA material number, includes industry camera the control unit (1), industry camera (2), light source (3), detection area (4), net twine (5) and industrial computer (6), its characterized in that: the industrial personal computer (6) is connected with a database (7), the industrial personal computer (6) is connected with an industrial camera control unit (1) through a network cable (5), the industrial camera control unit (1) is connected with an industrial camera (2), and a light source (3) is arranged above the detection area (4).
2. The production line PCBA material number quick identification system as claimed in claim 1, wherein: the industrial personal computer (6) comprises a QT software development platform (601), an opencv computer vision library (602) and a linux open source system (603).
3. The production line PCBA material number quick identification system as claimed in claim 2, wherein: the QT software development platform (601) completes the upper UI display and corresponding setting operation of the recognition result, the opencv computer vision library (602) provides an open source algorithm for material number recognition, and the linux open source system (603) provides a necessary running environment for the running of the whole software.
4. The production line PCBA material number quick identification system as claimed in claim 1, wherein: the light sources (3) are provided with two light sources.
5. The production line PCBA material number quick identification system as claimed in claim 1 or 4, wherein: the light source (3) adopts a cylindrical strip light source.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210026081.7A CN114417903A (en) | 2022-01-11 | 2022-01-11 | Production line PCBA material number rapid identification system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210026081.7A CN114417903A (en) | 2022-01-11 | 2022-01-11 | Production line PCBA material number rapid identification system |
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| CN114417903A true CN114417903A (en) | 2022-04-29 |
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| CN105910539A (en) * | 2016-05-30 | 2016-08-31 | 河北工业大学 | Cable sheath tensile length measuring device and cable sheath tensile length measuring method based on machine vision |
| CN206271043U (en) * | 2016-11-01 | 2017-06-20 | 郑州大学 | A kind of dining room smart charge system based on image procossing |
| CN207096999U (en) * | 2017-08-17 | 2018-03-13 | 深圳市异方科技有限公司 | A kind of product bar code vision reading code and sorting equipment |
| CN109068051A (en) * | 2018-06-19 | 2018-12-21 | 江苏高远智能科技有限公司 | A kind of industrial camera self-adapting intelligent regulating device |
| WO2019136882A1 (en) * | 2018-01-13 | 2019-07-18 | 江南大学 | Non-contact visual inspection method for mark positioning of mobile phone touch screen |
| CN111289538A (en) * | 2020-02-25 | 2020-06-16 | 青岛滨海学院 | PCB element detection system and detection method based on machine vision |
| CN113259343A (en) * | 2021-05-11 | 2021-08-13 | 河南垂天科技有限公司 | 5G white box gateway device based on edge computing technology |
-
2022
- 2022-01-11 CN CN202210026081.7A patent/CN114417903A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205262978U (en) * | 2015-12-21 | 2016-05-25 | 敦豪物流（北京）有限公司嘉兴分公司 | A yard machine vision detecting system is spouted in scanning |
| CN105787407A (en) * | 2016-02-02 | 2016-07-20 | 浙江科技学院 | Method and system for automatically identifying express delivery barcode integrating machine vision and laser scanning |
| CN105701476A (en) * | 2016-02-04 | 2016-06-22 | 合肥泰禾光电科技股份有限公司 | Machine vision-based automatic identification system and method for production line products |
| CN105910539A (en) * | 2016-05-30 | 2016-08-31 | 河北工业大学 | Cable sheath tensile length measuring device and cable sheath tensile length measuring method based on machine vision |
| CN206271043U (en) * | 2016-11-01 | 2017-06-20 | 郑州大学 | A kind of dining room smart charge system based on image procossing |
| CN207096999U (en) * | 2017-08-17 | 2018-03-13 | 深圳市异方科技有限公司 | A kind of product bar code vision reading code and sorting equipment |
| WO2019136882A1 (en) * | 2018-01-13 | 2019-07-18 | 江南大学 | Non-contact visual inspection method for mark positioning of mobile phone touch screen |
| CN109068051A (en) * | 2018-06-19 | 2018-12-21 | 江苏高远智能科技有限公司 | A kind of industrial camera self-adapting intelligent regulating device |
| CN111289538A (en) * | 2020-02-25 | 2020-06-16 | 青岛滨海学院 | PCB element detection system and detection method based on machine vision |
| CN113259343A (en) * | 2021-05-11 | 2021-08-13 | 河南垂天科技有限公司 | 5G white box gateway device based on edge computing technology |
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