CN208206822U - Pcb board defect automatic checkout system based on machine vision - Google Patents
Pcb board defect automatic checkout system based on machine vision Download PDFInfo
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- CN208206822U CN208206822U CN201820511905.9U CN201820511905U CN208206822U CN 208206822 U CN208206822 U CN 208206822U CN 201820511905 U CN201820511905 U CN 201820511905U CN 208206822 U CN208206822 U CN 208206822U
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Abstract
The utility model discloses a kind of pcb board defect automatic checkout system based on machine vision, including PCB image acquisition module, Computer Image Processing module.Because the technical program uses PCB image acquisition module, the Computer Image Processing module composition pcb board defect detecting system connecting with PCB image acquisition module.The system is analyzed and processed using machine institute collecting data information, pass through the control to motion control unit, realize the acquisition to the part PCB and panoramic image, the classification of defect can not be determined, can not point out deficiencies and generation the phenomenon that the relationship of component on PCB by avoiding detection method in the prior art, the stability that result is detected by pcb board defect, and the purpose of repeatability are improved to reach.
Description
[technical field]
The utility model relates to a kind of PCB board defects based on machine vision in circuit board technology field to examine automatically
Examining system.
[background technique]
As the integrated level of electronics industry chip enhances, attachment density is high, and circuit lead is thin, to the printing precision of printing machine
New challenge is proposed, so that the structure and processing to current pcb board propose new requirement.PCB defects detection is PCB processing or dress
With testing process necessary in the process.Early defect detection process is mainly manually visual inspection to complete, but due to operator
Vision having some limitations property eventually, it is easy to missing inspection and erroneous detection occur, detection efficiency is not high.With PCB manufacturing technology
Continuous development, enlargement, densification and high precision int become the development trend of PCB, for the defect of such PCB, people
Work visual inspection is more difficult, even cannot achieve.In order to meet the testing requirements of high-tech requirement, PCB is found in time
Existing defect in the welding process realizes that the detection of PCB defect has become the inspection of current PC B defect using machine vision technique
The fundamental development direction of survey, wherein most of is to realize identification PCB defect by comparing figure and standard picture is detected.But
It is that since such detection method can only recognize whether defect, and can not determine the classification of defect, while can not also point out to lack
The physical relationship type with component on PCB is fallen into, causes the stability for being detected result by pcb board defect relatively low, repeats
Performance is poor.
[utility model content]
The technical purpose of the utility model be in order to solve the above-mentioned problems of the prior art and providing one kind can mention
Height is detected the stability of result, and the automatic detection system of pcb board defect based on machine vision of repeatability by pcb board defect
System.
In order to realize above-mentioned technical problem, it is automatic that the utility model provides a kind of pcb board defect based on machine vision
Detection system, including PCB image acquisition module, the Computer Image Processing module being connect with PCB image capture module；It is described
PCB image acquisition module includes image acquisition units, motion control unit, light illuminating unit, and simultaneously and image acquisition units,
Motion control unit, the circuit board under test of light illuminating unit connection；The image acquisition units include connecting with circuit board under test
CCD camera, the image pick-up card being connect with CCD camera；The motion control unit includes connecting with circuit board under test
The two-dimentional work bench connect, the motion control card being connect with two-dimentional work bench；The Computer Image Processing module include respectively with
The acquisition image and motion-control module that image pick-up card is connected with motion control card connect with acquisition image and motion-control module
The image pre-processor connect, the setting circle registration module connecting with image pre-processor, what is connect with setting circle registration module lacks
Fall into detection and display module.
According to the technical characteristics, the CCD camera is CCD industrial camera, and described image capture card is high definition
Telecentric lens, the light illuminating unit are RGB annular light source, and the two-dimentional work bench is two-dimentional servo platform and bracket；Institute
State the rack-mount face of CCD industrial camera and it is located at right above circuit board to be checked, RGB annular light source axle center and CCD
Industrial camera center is on same straight line, the RGB annular be fixed on it is on bracket and be located at CCD industrial camera just under
Side, the bracket is fixed on two-dimentional servo platform, the CCD industrial camera, high definition telecentric lens, RGB annular light source along
Same straight line moves up and down.
According to the technical characteristics, the CCD industrial camera is by the charge-coupled device of model FL2G- 50S5M
It is by model POT- 5M03-110 that part video camera, which constitutes the high definition telecentric lens, and compatible 5,000,000 pixel cameras are constituted；It is described
RGB annular light source is by model OPT-RIA211-RGB, and light emitting diode matrix is closely packed on annular light source inner wall, can
It is divided into red, green, the trizonal LED light of blue is constituted；The two dimension servo platform is by driving amplifier, drive motor
It is constituted with detection device.
According to the technical characteristics, the CCD industrial camera is connected to image pick-up card by 1394 interface lines, figure
As capture card is inserted on industrial personal computer PCI slot, i.e., PCB image captured by CCD industrial camera is calculated by the way that image pick-up card is incoming
Inside machine image processing module, PCB defects detection is completed by being further processed to digital picture；The two dimension servo platform control
End processed connects motion control card, and motion control card is plugged in industrial personal computer PCI slot.
The utility model has the beneficial effects that acquiring mould with PCB image because the technical program uses PCB image acquisition module
The Computer Image Processing module composition pcb board defect detecting system of block connection.The system utilizes machine institute collecting data information
It is analyzed and processed, by the control to motion control unit, realizes the acquisition to the part PCB and panoramic image, avoid existing
Have in technology detection method can not determine the classification of defect, can not point out deficiencies on PCB the phenomenon that the relationship of component,
The stability that result is detected by pcb board defect, and the purpose of repeatability are improved to reach.
With reference to the accompanying drawings and examples, the technical solution of the utility model is described in further detail.
[Detailed description of the invention]
Fig. 1 is the schematic diagram of the pcb board defect automatic checkout system in the utility model based on machine vision；
Fig. 2 is the schematic diagram of PCB image acquisition module in the utility model.
[specific embodiment]
In order to be clearer and more clear technical problem to be solved in the utility model, technical solution and beneficial effect, with
Under in conjunction with the accompanying drawings and embodiments, the present invention will be further described in detail.It should be appreciated that specific reality described herein
Example is applied only to explain the utility model, is not used to limit the utility model.
It please refers to shown in Fig. 1 and Fig. 2, illustrates that a kind of pcb board defect based on machine vision is automatic below with reference to embodiment
Detection system, including PCB image acquisition module, the Computer Image Processing module being connect with PCB image acquisition module.
The PCB image acquisition module includes image acquisition units, motion control unit, light illuminating unit, and simultaneously with
Image acquisition units, motion control unit, the circuit board under test of light illuminating unit connection.The image acquisition units include with to
The CCD camera of slowdown monitoring circuit plate connection, the image pick-up card being connect with CCD camera；The motion control unit include with
The two-dimentional work bench of circuit board under test connection, the motion control card being connect with two-dimentional work bench；The Computer Image Processing mould
Block includes the acquisition image and motion-control module connecting respectively with image pick-up card and motion control card, with acquisition image and fortune
The image pre-processor of dynamic control module connection, the setting circle registration module connecting with image pre-processor are registrated with setting circle
The defects detection and display module of module connection.
The CCD camera is CCD industrial camera 1, and described image capture card is high definition telecentric lens 2, the illumination list
Member is RGB annular light source 3, and the two-dimentional work bench is two-dimentional servo platform 4 and bracket；The CCD industrial camera 1 be by
The charge coupled device camera of model FL2G-50S5M is constituted；The high definition telecentric lens 2 are by model POT- 5M03-
110, compatible 5,000,000 pixel cameras are constituted；The RGB annular light source 3 is by model OPT-RIA211-RGB, light-emitting diodes
Pipe array is closely packed on annular light source inner wall, can be divided into red, green, and the trizonal LED light of blue is constituted；The two dimension is watched
Taking platform 4 is by driving amplifier, and drive motor and detection device are constituted.
Connection type between PCB image acquisition module and Computer Image Processing module are as follows: the CCD industrial camera 1
It is connected to image pick-up card by 1394 interface lines, image pick-up card is inserted on industrial personal computer PCI slot, i.e. 1 institute of CCD industrial camera
It shoots PCB image and Computer Image Processing inside modules is passed to by image pick-up card, by being further processed to digital picture
Complete PCB defects detection.Connection type between the motion control unit and Computer Image Processing module are as follows: the two dimension
4 control terminal of servo platform connects motion control card, and motion control card is plugged in industrial personal computer PCI slot.Realize computer to fortune
The control of dynamic control card, to realize the acquisition to the part PCB and panoramic picture.
The PCB image acquisition system is responsible for completing the collecting work of PCB image.The CCD industrial camera 1 is mounted on
Above bracket and be located at right above circuit board to be checked, 3 axle center of RGB annular light source and 1 center of CCD industrial camera are in same
On one straight line, the RGB annular light source 3 is fixed on bracket and is located at immediately below CCD industrial camera 1, and the bracket is solid
It is scheduled on two-dimentional servo platform 4, the CCD industrial camera 1, high definition telecentric lens 2, RGB annular light source 3 is along same straight line
It moves up and down, completes the acquisition of PCB panoramic picture.
The RGB annular light source 3 is a key link in PCB defect automatic checkout system.The RGB annular light source 3
It is by model OPT-RIA211-RGB, light emitting diode matrix is closely packed on annular light source inner wall, can be divided into red, green
Color, the trizonal LED lamp of blue are constituted.Can be by the light on and off of any one region LED light of light-source controller controls, it can
By moving up and down the CCD camera lens inside CCD industrial camera 1, the distance of adjusting camera lens to workpiece.The RGB annular light source 3
Three coloured light illumination with different angle highlights the three-dimensional information of scolding tin, clear layer, the collocation of three color of red, green, blue, others
Multiple color is optional, and additional unrestrained transmitting is guide-lighting, and light is uniform, reduces reflective strong reflective.The resolution ratio of the CCD industrial camera 1
It can reach 5,000,000 pixels, the CCD camera 1 of ultra-compact, the IEEE139B interface with screwed lock is used for CCD industrial camera 1
Control and data transmission, support 32MB reservoir, built-in temperature, power sensor and status indicator lamp, the CCD industry phase
A height of 29 millimeters of the volume of machine 1, width is 29 millimeters, a length of 30 millimeters.The camera terminal interface passes through with image pick-up card
139B interface line is connected, and image pick-up card inserts in industrial control computer mainboard PCI slot, realizes image data and controls signal
Transmission adjusts the focal length between CCD industrial camera lens and circuit board to be checked to obtain preferable image, and realization is measuring
The relative position that CCD industrial camera 1 Yu RGB annular light source 3 can be first determined with the method for range estimation, then, according to actual photographed
Situation is finely tuned adjustment.
The high definition telecentric lens 2 are by model POT-5M03-110, and compatible 5,000,000 pixel cameras are constituted.High definition telecentricity
Camera lens 2 is high-precision, the key component in precision detecting system.The two dimension servo platform 4 is the main portion of PCB image acquisition
Point, the even running of the platform is the important guarantee for acquiring high quality P CB image, inside motion-control module, two-dimentional servo
The movement velocity and motion profile of platform 4 are to send control instruction to motion-control module by computer to control, centre warp
Motion control card, data line, the components such as terminal plate and servo mechanism are crossed, the servo mechanism is inputted in instruction department
When target value, it will be able to current value is detected, and compared with target value, so that current value becomes smaller with target value difference.The two dimension
The operation of servo platform 4 is that communication between upper computer and lower computer is completed, and the host computer is by sending commands to pair
Two-dimentional servo platform 4 and PCB image acquisition module are controlled, and when detection, circuit board under test is placed in the branch of dedicated card slot type
On frame, operation to detection station, and control CCD industrial camera 1 and start to shoot image, image information is then conducted into host computer,
The processing of host computer operation image and analysis program, after to slave computer issue signal, slave computer controls two-dimentional servo platform will
Pcb board is transferred out, and when trading next circuit board under test in and being moved to shooting area, triggers CCD industrial camera 1 again and start
Shooting, repeatedly.
The acquisition to PCB image is completed first with PCB image acquisition module, and is input in Computer Image Processing module
Portion, then, the Computer Image Processing module are pre-processed to PCB image is collected, figure adjustment and the inspection of PCB defect
It surveys, finally, exporting defect information by computer.The scene such as detected completes the PCB defects detection of present lot, computer picture
In processing module output order to PCB image acquisition module, this testing process is closed, such as without completing Detection task, is weighed again
Enter testing process, until detection terminates.
In conclusion because the technical program uses PCB image acquisition module, the calculating connecting with PCB image acquisition module
Machine image processing module constitutes pcb board defect detecting system.The system is analyzed and processed using machine institute collecting data information,
By the control to motion control unit, realization avoids detection side in the prior art to the acquisition of the part PCB and panoramic image
Method can not determine the classification of defect, can not point out deficiencies and generation the phenomenon that the relationship of component on PCB, to reach raising quilt
Pcb board defect is detected the stability of result, and the purpose of repeatability.
To those skilled in the art, it can be modified or changed according to the above description, and all these
Modifications and variations should belong to the utility model and apply within the scope of protecting.
Claims (4)
1. a kind of pcb board defect automatic checkout system based on machine vision, including PCB image acquisition module, are adopted with PCB image
Collect the Computer Image Processing module of module connection；The PCB image acquisition module includes image acquisition units, motion control list
Member, light illuminating unit, and simultaneously and image acquisition units, motion control unit, the circuit board under test of light illuminating unit connection；It is special
Sign is: the image acquisition units include the CCD camera connecting with circuit board under test, the figure connecting with CCD camera
As capture card；The motion control unit includes the two-dimentional work bench connecting with circuit board under test, is connect with two-dimentional work bench
Motion control card；The Computer Image Processing module includes the acquisition connecting respectively with image pick-up card and motion control card
Image and motion-control module, the image pre-processor being connect with acquisition image and motion-control module, with image pre-processor
The setting circle registration module of connection, the defects detection being connect with setting circle registration module and display module.
2. the pcb board defect automatic checkout system according to claim 1 based on machine vision, it is characterised in that: described
CCD camera is CCD industrial camera, and described image capture card is high definition telecentric lens, and the light illuminating unit is RGB ring light
Source, the two-dimentional work bench are two-dimentional servo platform and bracket；The rack-mount face of CCD industrial camera and position
Right above circuit board to be checked, RGB annular light source axle center and CCD industrial camera center are on same straight line, described
RGB annular is fixed on bracket and is located at immediately below CCD industrial camera, and the bracket is fixed on two-dimentional servo platform, institute
CCD industrial camera, high definition telecentric lens are stated, RGB annular light source is moved up and down along same straight line.
3. the pcb board defect automatic checkout system according to claim 2 based on machine vision, it is characterised in that: described
CCD industrial camera is made of the charge coupled device camera of model FL2G-50S5M；The high definition telecentric lens be by
Model POT-5M03-110, compatible 5,000,000 pixel cameras are constituted；The RGB annular light source is by model OPT-RIA211-
RGB's, light emitting diode matrix is closely packed on annular light source inner wall, red can be divided into, green, the trizonal LED light of blue
It constitutes；The two dimension servo platform is by driving amplifier, and drive motor and detection device are constituted.
4. the pcb board defect automatic checkout system according to claim 2 based on machine vision, it is characterised in that: described
CCD industrial camera is connected to image pick-up card by 1394 interface lines, and image pick-up card is inserted on industrial personal computer PCI slot, i.e. CCD
PCB image captured by industrial camera is passed to Computer Image Processing inside modules by image pick-up card, by digital picture
It is further processed and completes PCB defects detection；The two dimension servo platform control terminal connects motion control card, and motion control card plugs
In industrial personal computer PCI slot.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820511905.9U CN208206822U (en) | 2018-04-10 | 2018-04-10 | Pcb board defect automatic checkout system based on machine vision |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820511905.9U CN208206822U (en) | 2018-04-10 | 2018-04-10 | Pcb board defect automatic checkout system based on machine vision |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109856146A (en) * | 2018-12-25 | 2019-06-07 | 深圳市智能机器人研究院 | A kind of dynamic surface defect Systems for optical inspection and method |
| CN110227755A (en) * | 2019-07-08 | 2019-09-13 | 太仓欧克仓储设备有限公司 | A kind of panel beating automatic blanking device |
| CN110335239A (en) * | 2019-05-09 | 2019-10-15 | 菲特(天津)智能科技有限公司 | Defects detection training machine and its application method based on deep learning |
| CN110927183A (en) * | 2019-11-12 | 2020-03-27 | 东莞市庆颖智能自动化科技有限公司 | Stokehole detection equipment and method for detecting IC parts by using same |
| CN110954555A (en) * | 2019-12-26 | 2020-04-03 | 宋佳 | WDT 3D vision detection system |
| CN111598771A (en) * | 2020-01-15 | 2020-08-28 | 电子科技大学 | PCB (printed Circuit Board) defect detection system and method based on CCD (Charge coupled device) camera |
| CN111707673A (en) * | 2020-07-06 | 2020-09-25 | 七海测量技术（深圳）有限公司 | Multi-dimensional automatic imaging system |
| CN111716017A (en) * | 2020-06-16 | 2020-09-29 | 罗建华 | Visual detection device and laser processing system |
| CN112345556A (en) * | 2020-11-23 | 2021-02-09 | 兰州大学 | Fault diagnosis system and method for integrated circuit |
| CN112604998A (en) * | 2020-11-27 | 2021-04-06 | 昆山市华钰兴经纬电子科技有限公司 | PCB defect automatic detection system based on machine vision |
| CN113237895A (en) * | 2021-06-02 | 2021-08-10 | 宝鸡高新智能制造技术有限公司 | Metal surface defect detection system based on machine vision |
| CN114460087A (en) * | 2021-12-22 | 2022-05-10 | 上海智能制造功能平台有限公司 | Welding spot defect detection system and method based on machine vision |
| CN114923916A (en) * | 2022-06-08 | 2022-08-19 | 苏州清翼光电科技有限公司 | Detection device and method for tinned terminal part of wireless charging coil |
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- 2018-04-10 CN CN201820511905.9U patent/CN208206822U/en not_active Expired - Fee Related
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109856146A (en) * | 2018-12-25 | 2019-06-07 | 深圳市智能机器人研究院 | A kind of dynamic surface defect Systems for optical inspection and method |
| CN110335239A (en) * | 2019-05-09 | 2019-10-15 | 菲特(天津)智能科技有限公司 | Defects detection training machine and its application method based on deep learning |
| CN110227755A (en) * | 2019-07-08 | 2019-09-13 | 太仓欧克仓储设备有限公司 | A kind of panel beating automatic blanking device |
| CN110927183B (en) * | 2019-11-12 | 2023-04-21 | 东莞市华盛鑫恒通实业有限公司 | Stokehold detection equipment and method for detecting IC parts by using equipment |
| CN110927183A (en) * | 2019-11-12 | 2020-03-27 | 东莞市庆颖智能自动化科技有限公司 | Stokehole detection equipment and method for detecting IC parts by using same |
| CN110954555A (en) * | 2019-12-26 | 2020-04-03 | 宋佳 | WDT 3D vision detection system |
| CN111598771A (en) * | 2020-01-15 | 2020-08-28 | 电子科技大学 | PCB (printed Circuit Board) defect detection system and method based on CCD (Charge coupled device) camera |
| CN111716017A (en) * | 2020-06-16 | 2020-09-29 | 罗建华 | Visual detection device and laser processing system |
| CN111707673A (en) * | 2020-07-06 | 2020-09-25 | 七海测量技术（深圳）有限公司 | Multi-dimensional automatic imaging system |
| CN112345556A (en) * | 2020-11-23 | 2021-02-09 | 兰州大学 | Fault diagnosis system and method for integrated circuit |
| CN112345556B (en) * | 2020-11-23 | 2023-07-21 | 兰州大学 | Fault diagnosis system and method for integrated circuit |
| CN112604998A (en) * | 2020-11-27 | 2021-04-06 | 昆山市华钰兴经纬电子科技有限公司 | PCB defect automatic detection system based on machine vision |
| CN113237895A (en) * | 2021-06-02 | 2021-08-10 | 宝鸡高新智能制造技术有限公司 | Metal surface defect detection system based on machine vision |
| CN114460087A (en) * | 2021-12-22 | 2022-05-10 | 上海智能制造功能平台有限公司 | Welding spot defect detection system and method based on machine vision |
| CN114923916A (en) * | 2022-06-08 | 2022-08-19 | 苏州清翼光电科技有限公司 | Detection device and method for tinned terminal part of wireless charging coil |
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