CN109685151B - Circuit board material number identification method and device and computer readable storage medium - Google Patents
Circuit board material number identification method and device and computer readable storage medium Download PDFInfo
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- CN109685151B CN109685151B CN201811620071.6A CN201811620071A CN109685151B CN 109685151 B CN109685151 B CN 109685151B CN 201811620071 A CN201811620071 A CN 201811620071A CN 109685151 B CN109685151 B CN 109685151B
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Abstract
The invention discloses a circuit board material number identification method, a circuit board material number identification device and a computer readable storage medium, which comprise the following steps: acquiring a circuit board image of a circuit board, and extracting first characteristic information in the circuit board image; acquiring material number information matched with the characteristic information; and outputting the material number information. The invention can acquire the circuit board image of the circuit board, then extract the key features in the circuit board image, then obtain the material number of the circuit board in the feature matching table according to the key features and output the material number, thereby solving the problems that the existing circuit board online detection equipment cannot automatically identify the circuit board with multiple material numbers or has high identification error rate on the detection of the printed circuit board with multiple material numbers and multiple states.
Description
Technical Field
The invention relates to the field of circuit board detection, in particular to a circuit board material number identification method and device and a computer readable storage medium.
Background
On-line printed circuit board check out test set is the naked board check out test set of a novel PCB that appears in recent years, compares in traditional off-line check out test set, and on-line check out test set gradually occupies printed circuit board naked board check out test set's demand market with characteristics such as efficient, speed piece, artifical few, simple operation. However, the existing online detection equipment in the market has the problems that the boards with multiple material numbers cannot be automatically identified or the identification error rate is high in the detection of the printed circuit boards with multiple material numbers and multiple states, so that excessive manual intervention is needed to solve the problem that the operation cannot be automatically completed by a machine, and the production efficiency and the operation experience of the equipment are seriously influenced.
The above is only for the purpose of assisting understanding of the technical solution of the present invention, and does not represent an admission that the above is the prior art.
Disclosure of Invention
The invention mainly aims to provide a method and a device for identifying material numbers of circuit boards and a computer readable storage medium, and aims to solve the problems that the existing circuit board online detection equipment cannot automatically identify the boards with multiple material numbers or has high identification error rate when detecting the printed circuit boards with multiple material numbers and multiple states.
In order to achieve the above object, the present invention provides a method for identifying a material number of a circuit board, comprising the steps of:
acquiring a circuit board image of a circuit board, and extracting first characteristic information in the circuit board image;
acquiring material number information matched with the characteristic information;
and outputting the material number information.
Preferably, the step of acquiring a circuit board image of the circuit board and extracting feature information in the circuit board image includes:
acquiring a circuit board image and first key characteristic information of a circuit board;
and extracting corresponding first characteristic information in the circuit board image according to the first key characteristic information.
Preferably, before the step of obtaining the material number information matched with the characteristic information, the method further includes:
acquiring a placing state of the circuit board and second key feature information corresponding to the placing state;
and extracting the feature information according to the second key feature information to obtain second feature information.
Preferably, before the step of acquiring a circuit board image of a circuit board and extracting first feature information in the circuit board image, the method further includes:
acquiring design data of the circuit board;
and generating the characteristic matching table corresponding to the circuit board according to the design data, wherein the characteristic matching table comprises a circuit board material number and all characteristic information corresponding to the circuit board material number.
Preferably, before the step of extracting the first feature information in the circuit board image, the method further includes:
when the circuit board is detected to have a damage condition, acquiring a target position corresponding to the damage condition;
and deleting the characteristic information corresponding to the target position in the circuit board image.
Preferably, after the step of obtaining the material number information matched with the characteristic information, the method further includes:
and when the material number information corresponding to the characteristic information is not acquired, outputting prompt information that the material number of the circuit board is not acquired.
In addition, in order to achieve the above object, the present invention further provides a circuit board material number identification apparatus, where the circuit board material number identification apparatus includes a processor, a memory, and a circuit board material number identification program stored in the memory and capable of running on the processor, and the circuit board material number identification program implements the steps of the circuit board material number identification method when executed by the processor.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, wherein a circuit board material number identification program is stored on the computer readable storage medium, and when being executed by a processor, the circuit board material number identification program implements the steps of the circuit board material number identification method as described above.
The invention provides a circuit board material number identification method, a circuit board material number identification device and a computer readable storage medium. The invention can acquire the circuit board image of the circuit board, then extract the key features in the circuit board image, then obtain the material number of the circuit board in the feature matching table according to the key features and output the material number, thereby solving the problems that the existing circuit board online detection equipment cannot automatically identify the circuit board with multiple material numbers or has high identification error rate on the detection of the printed circuit board with multiple material numbers and multiple states. Therefore, manual intervention is reduced to solve the problem that the machine cannot automatically complete the operation, the labor cost is reduced, and the production efficiency is improved.
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 diagram of a hardware structure of a circuit board material number identification device according to an embodiment of the present invention;
FIG. 2 is a schematic flowchart illustrating a first embodiment of a method for identifying a material number of a circuit board according to the present invention;
FIG. 3 is a flow chart illustrating a second embodiment of a circuit board material number identification method according to the present invention;
FIG. 4 is a flow chart illustrating a third embodiment of a circuit board material number identification method according to the present invention;
FIG. 5 is a schematic flowchart illustrating a fourth embodiment of a method for identifying a material number of a circuit board according to the present invention;
FIG. 6 is a flow chart illustrating a fifth embodiment of a method for identifying a material number of a circuit board according to the present invention;
fig. 7 is a flowchart illustrating a sixth embodiment of a method for identifying a material number of a circuit board according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: acquiring a circuit board image of a circuit board, and extracting first characteristic information in the circuit board image; acquiring material number information matched with the characteristic information; and outputting the material number information.
Because the existing on-line detection equipment has the problems that the plates with multiple material numbers cannot be automatically identified or the identification error rate is high in the detection of the printed circuit boards with multiple material numbers and multiple states, excessive manual intervention is needed to solve the problem that the machine cannot automatically complete the operation, and the production efficiency and the operation experience of the equipment are seriously influenced.
The invention provides a solution, firstly, obtaining a circuit board image of a circuit board, and extracting first characteristic information in the circuit board image; then, acquiring the material number information matched with the characteristic information; and finally, outputting the material number information. The invention can acquire the circuit board image of the circuit board, then extract the key characteristics in the circuit board image, and then obtain the material number of the circuit board in the characteristic matching table according to the key characteristics and output the material number, thereby solving the problems that the existing circuit board online detection equipment cannot automatically identify the boards with multiple material numbers or has high error rate in the detection of the printed circuit board with multiple material numbers and multiple states.
As shown in fig. 1, fig. 1 is a schematic diagram of a hardware structure of an apparatus according to an embodiment of the present invention.
Referring to fig. 1, the apparatus may include: a processor 1001, such as a CPU, a memory 1002, a communication bus 1003, and a network interface 1004. The communication bus 1003 is used for implementing connection communication between the components in the device. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1002 may be a high-speed RAM memory or a non-volatile memory such as a disk memory. The memory 1002 may alternatively be a storage device separate from the processor 1001. As shown in fig. 1, the memory 1002, which is a kind of computer storage medium, may include therein an operating system, a network communication module, and a circuit board material number identification program.
Those skilled in the art will appreciate that the configuration of the device shown in fig. 1 is not intended to be limiting of the device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
Among the hardware involved in the apparatus shown in fig. 1, the network interface 1004 may be used to receive circuit board images incoming from the scanning apparatus; the processor 1001 may be configured to call the circuit board material number identification program stored in the memory 1002, and perform the following operations:
acquiring a circuit board image of a circuit board, and extracting first characteristic information in the circuit board image;
acquiring material number information matched with the characteristic information;
and outputting the material number information.
Further, the processor 1001 may be configured to call the circuit board material number identification program stored in the memory 1002, and further perform the following operations:
acquiring a circuit board image and first key characteristic information of a circuit board;
and extracting corresponding first characteristic information in the circuit board image according to the first key characteristic information.
Further, the processor 1001 may be configured to call the circuit board material number identification program stored in the memory 1002, and further perform the following operations:
acquiring a placing state of the circuit board and second key feature information corresponding to the placing state;
and extracting the feature information according to the second key feature information to obtain second feature information.
Further, the processor 1001 may be configured to call the circuit board material number identification program stored in the memory 1002, and further perform the following operations:
acquiring design data of the circuit board;
and generating the characteristic matching table corresponding to the circuit board according to the design data, wherein the characteristic matching table comprises a circuit board material number and all characteristic information corresponding to the circuit board material number.
Further, the processor 1001 may be configured to call the circuit board material number identification program stored in the memory 1002, and further perform the following operations:
when the circuit board is detected to have a damage condition, acquiring a target position corresponding to the damage condition;
and deleting the characteristic information corresponding to the target position in the circuit board image.
Further, the processor 1001 may be configured to call the circuit board material number identification program stored in the memory 1002, and further perform the following operations:
and when the material number information corresponding to the characteristic information is not acquired, outputting prompt information that the material number of the circuit board is not acquired.
According to the scheme, a user inputs design data of a circuit board into a terminal, and the terminal generates the characteristic matching table corresponding to the circuit board according to the design data, wherein the characteristic matching table comprises a circuit board material number and all characteristic information corresponding to the circuit board material number, and the design data are characteristic data of the circuit board. And then acquiring a circuit board image and first key characteristic information of the circuit board, deleting characteristic information except the first key characteristic information of the circuit board image, and extracting corresponding first characteristic information in the circuit board image according to the first key characteristic information. And then acquiring the placing state of the circuit board and second key feature information corresponding to the placing state, and extracting the feature information according to the second key feature information to obtain second feature information. If the circuit board is detected to have a damage condition, acquiring a target position corresponding to the damage condition, deleting feature information corresponding to the target position in the circuit board image, acquiring material number information matched with the feature information according to the first feature information, the second feature information and a feature matching table, and outputting the material number information when the material number information is acquired. And when the material number information corresponding to the characteristic information is not acquired, outputting prompt information that the material number of the circuit board is not acquired.
Referring to fig. 2, fig. 2 is a first embodiment of a circuit board material number identification method of the present invention, which includes:
s10, obtaining a circuit board image of a circuit board, and extracting first characteristic information in the circuit board image;
the method for identifying the material number of the circuit board is mainly used for identifying the circuit board under a plurality of material numbers and in various states by the terminal and outputting the material number corresponding to the circuit board after identifying the material number of the circuit board.
According to the technical scheme provided by the invention, the circuit board passes through the detection equipment, and the detection equipment generates the circuit board image corresponding to the circuit board. And then acquiring key feature information in the design data, and finally extracting first feature information from the circuit board image according to the key feature information. It should be noted that the circuit board image is an image generated in real time.
S20, acquiring material number information matched with the characteristic information;
in the technical scheme provided by this embodiment, after first feature information of an image of a circuit board is obtained, a feature matching table is obtained, then standard data feature data related to the first feature information in the feature matching table is obtained, the first feature information and the corresponding standard data feature data are compared and analyzed, deeper feature recognition is performed according to a matching confidence, and a material number of the circuit board is obtained according to an analysis result after the analysis result is obtained.
And S30, outputting the material number information.
In the technical scheme provided by this embodiment, when the material number of the circuit board is obtained, the material number information corresponding to the circuit board is output. And when the material number information corresponding to the characteristic information is not acquired, outputting prompt information that the material number of the circuit board is not acquired. It can be understood that the manner of outputting the prompt information may be various, for example, outputting specific music when the material number information is not acquired, and the like.
According to the scheme, a user inputs design data of a circuit board into a terminal, and the terminal generates the characteristic matching table corresponding to the circuit board according to the design data, wherein the characteristic matching table comprises a circuit board material number and all characteristic information corresponding to the circuit board material number, and the design data are characteristic data of the circuit board. And then acquiring a circuit board image and first key characteristic information of the circuit board, deleting characteristic information except the first key characteristic information of the circuit board image, and extracting corresponding first characteristic information in the circuit board image according to the first key characteristic information. And then acquiring the placing state of the circuit board and second key feature information corresponding to the placing state, and extracting the feature information according to the second key feature information to obtain second feature information. If the circuit board is detected to be damaged, the target position corresponding to the damaged condition is obtained, the feature information corresponding to the target position in the circuit board image is deleted, the material number information matched with the feature information is obtained according to the first feature information, the second feature information and the feature matching table, and the material number information is output when the material number information is obtained. And when the material number information corresponding to the characteristic information is not acquired, outputting prompt information that the material number of the circuit board is not acquired.
The invention can acquire the circuit board image of the circuit board, then extract the key characteristics in the circuit board image, and then obtain the material number of the circuit board in the characteristic matching table according to the key characteristics and output the material number, thereby solving the problems that the existing circuit board online detection equipment cannot automatically identify the boards with multiple material numbers or has high error rate in the detection of the printed circuit board with multiple material numbers and multiple states. Therefore, manual intervention is reduced to solve the problem that the machine cannot automatically complete the operation, the labor cost is reduced, and the production efficiency is improved.
Further, referring to fig. 3, fig. 3 is a second embodiment of the method for identifying a material number of a circuit board according to the present invention, and based on the above embodiment, the step S10 includes:
s11, obtaining a circuit board image of the circuit board and first key characteristic information;
and S12, extracting corresponding first characteristic information in the circuit board image according to the first key characteristic information.
In the technical scheme provided by the embodiment, a user inputs design data of a circuit board to a terminal, the terminal acquires the design data, and then circuit board images corresponding to the circuit board are generated through circuit board image generation software. And then key feature information is obtained from the design data, and finally first feature information is extracted from the circuit board image according to the key feature information. It can be understood that the first feature information of the circuit board image is extracted by resampling the real-time image to obtain the first feature information, and then the non-key point data except the first feature information in the circuit board image is deleted, so that the data capacity is reduced, and the calculation complexity is reduced.
The terminal extracts key characteristic information in the circuit board image to calculate and analyze the material number, thereby reducing data capacity and reducing calculation complexity.
Further, referring to fig. 4, fig. 4 is a third embodiment of the method for identifying a material number of a circuit board according to the present invention, and on the basis of the embodiment shown in fig. 2, before the step S20, the method further includes:
s40, acquiring the placing state of the circuit board and second key feature information corresponding to the placing state;
and S50, extracting the feature information according to the second key feature information to obtain second feature information.
In the technical solution provided by this embodiment, the placing state of the circuit board may be an overturning state or a rotating state, and both the overturning state and the rotating state may be any angle, such as 180 degrees of rotation, 180 degrees of overturning, and the like. The design data includes characteristic information of the image data corresponding to different angle thresholds in different states. After a terminal acquires a first key feature of a circuit board image, the placing state of the circuit board is acquired, second key feature information corresponding to the placing state is acquired in bookmarked data according to the placing state, non-key point data except the second feature information in the circuit board image is deleted, data capacity is reduced, and finally the feature information is extracted according to the second key feature information to obtain second feature information.
The terminal acquires the characteristic information of the circuit board in different states from the bookmarked data, so that the material number of the circuit board can be acquired in different placing states of the circuit board.
Further, referring to fig. 5, fig. 5 is a fourth embodiment of the method for identifying a material number of a circuit board according to the present invention, and on the basis of the embodiment shown in fig. 2, before the step S10, the method further includes:
s60, acquiring design data of the circuit board;
and S70, generating the characteristic matching table corresponding to the circuit board according to the design data, wherein the characteristic matching table comprises a circuit board material number and all characteristic information corresponding to the circuit board material number.
In the technical solution provided in this embodiment, the feature matching table includes a circuit board material number and all feature information corresponding to the circuit board material number. Before analyzing the material number of the circuit board, a characteristic matching table is established. And inputting the design data of the circuit board by a user at the terminal, and then generating the characteristic matching table corresponding to the circuit board by the terminal through software. It should be noted that, when the design data includes circuit board design data of a plurality of material numbers, all the material numbers in the design data and corresponding feature data are generated in a feature matching table.
The terminal establishes the feature matching table, so that key features in the real-time image can be extracted to perform matching analysis with the feature matching table when the real-time image of the circuit board is acquired.
Further, referring to fig. 6, fig. 6 is a fifth embodiment of the method for identifying a material number of a circuit board according to the present invention, and on the basis of the embodiment shown in fig. 2, before the step S10, the method further includes:
s80, when the circuit board is detected to be damaged, acquiring a target position corresponding to the damaged condition;
and S90, deleting the characteristic information corresponding to the target position in the circuit board image.
In the technical scheme provided by this embodiment, when the terminal detects that the circuit board has a damage condition, the terminal acquires a target position corresponding to the damage condition, and then invokes an AI matching algorithm to delete characteristic information that affects identification of the circuit board material number, such as smudginess, damage, and brightness change of the board surface.
When the circuit board material number is identified, characteristic information which influences the identification of the circuit board material number, such as surface dirt, damage, brightness change and the like, is deleted, so that the stability of a detection result is improved.
Further, referring to fig. 7, fig. 7 is a sixth embodiment of the method for identifying a material number of a circuit board according to the present invention, and on the basis of the embodiment shown in fig. 2, after the step S30, the method further includes:
and S100, when the material number information corresponding to the characteristic information is not acquired, outputting prompt information that the material number of the circuit board is not acquired.
In the technical scheme provided by this embodiment, a circuit board passes through a detection device, and the detection device generates a circuit board image corresponding to the circuit board. And then key feature information is obtained from the design data, and finally first feature information is extracted from the circuit board image according to the key feature information. And then obtaining the placing state of the circuit board, obtaining second key characteristic information corresponding to the placing state in the written data according to the placing state, and deleting non-key point data except the second characteristic information in the circuit board image. And analyzing by combining the first characteristic information, the second characteristic information and the characteristic matching table to obtain a matching result, finally obtaining the material number of the circuit board according to the matching result, and outputting prompt information of not obtaining the material number of the circuit board when the material number information corresponding to the characteristic information is not obtained.
When the material number of the circuit board is not detected, prompt information is output, so that the circuit board with quality problems is prevented from flowing into the market.
In order to achieve the above object, the present invention further provides a circuit board material number identification device, where the circuit board material number identification device includes a processor, a memory, and a circuit board material number identification program stored in the memory and capable of running on the processor, and the circuit board material number identification program is executed by the processor to implement the steps of the circuit board material number identification method.
In order to achieve the above object, the present invention further provides a computer-readable storage medium, in which a circuit board material number identification program is stored, and when the circuit board material number identification program is executed by a processor, the steps of the circuit board material number identification method are implemented.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a television, a mobile phone, a computer, an apparatus, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (4)
1. A circuit board material number identification method is characterized by comprising the following steps:
acquiring design data of the circuit board;
generating the feature matching table corresponding to the circuit board according to the design data, wherein the feature matching table comprises a circuit board material number and all feature information corresponding to the circuit board material number;
acquiring a circuit board image of a circuit board, wherein the circuit board image is an image generated in real time based on the circuit board;
confirming the damage condition of the circuit board according to the circuit board image, confirming a target position corresponding to the damage condition, and calling an AI (artificial intelligence) matching algorithm to delete characteristic information of the target position, wherein the characteristic information is plate surface dirt, damage and image brightness change;
acquiring a circuit board image of a circuit board, determining first key characteristic information according to design data of the circuit board image, and deleting characteristic information except the first key characteristic information;
extracting corresponding first feature information in the circuit board image from the first key feature information;
acquiring a placing state of the circuit board and second key feature information corresponding to the placing state, wherein the placing state comprises a turning state and a rotating state, the turning state and the rotating state are at any angle, and the design data comprises feature information of corresponding image data in different angle thresholds of different states;
extracting the feature information according to the second key feature information to obtain second feature information;
acquiring the material number information of the circuit board according to the first characteristic information, the second characteristic information and the characteristic matching table;
and outputting the material number information.
2. The method for identifying the material number of the circuit board according to claim 1, wherein after the step of obtaining the material number information matched with the characteristic information, the method further comprises the following steps:
and when the material number information corresponding to the characteristic information is not acquired, outputting prompt information that the material number of the circuit board is not acquired.
3. A circuit board material number identification device, characterized in that the circuit board material number identification device comprises a processor, a memory and a circuit board material number identification program stored on the memory and operable on the processor, wherein the circuit board material number identification program, when executed by the processor, implements the steps of the circuit board material number identification method according to any one of claims 1 to 2.
4. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a circuit board material number identification program, which when executed by a processor implements the steps of the circuit board material number identification method according to any one of claims 1 to 2.
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| CN106503735A (en) * | 2016-10-18 | 2017-03-15 | 凌云光技术集团有限责任公司 | The recognition methodss of wiring board item number and device |
| CN108711152A (en) * | 2018-05-23 | 2018-10-26 | 深圳市阡丘越科技有限公司 | A kind of image analysis method, device and user terminal based on AI technologies |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104182797A (en) * | 2014-08-21 | 2014-12-03 | 深圳市青铜科技有限公司 | Automatic selection method of product part number on the basis of image recognition technology |
| CN108090897A (en) * | 2017-12-18 | 2018-05-29 | 川亿电脑(深圳)有限公司 | Detection method, detection device and the storage medium of printed wire board defect |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106503735A (en) * | 2016-10-18 | 2017-03-15 | 凌云光技术集团有限责任公司 | The recognition methodss of wiring board item number and device |
| CN108711152A (en) * | 2018-05-23 | 2018-10-26 | 深圳市阡丘越科技有限公司 | A kind of image analysis method, device and user terminal based on AI technologies |
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