CN205317678U - Metal product printing defect on -line measuring system based on machine vision - Google Patents

Metal product printing defect on -line measuring system based on machine vision Download PDF

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Publication number
CN205317678U
CN205317678U CN201521006882.9U CN201521006882U CN205317678U CN 205317678 U CN205317678 U CN 205317678U CN 201521006882 U CN201521006882 U CN 201521006882U CN 205317678 U CN205317678 U CN 205317678U
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China
Prior art keywords
communication equipment
detection
image
metallic article
printing defects
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Expired - Fee Related
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CN201521006882.9U
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Chinese (zh)
Inventor
孔庆杰
孙旭光
刘海明
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Guangdong Ruishi Intelligent Detection Co Ltd
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Guangdong Ruishi Intelligent Detection Co Ltd
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Abstract

The utility model discloses a metal product printing defect on -line measuring system based on machine vision, it includes light source system for ensure the even invariable no shadow of image acquisition environment light source, vision collection system for gather production line metal product printing image in real time, and picture transmission to the data process system that will gather in real time, data process system is connected and is used for printing defect detecting to received visual image with vision collection system electricity, including pattern, colour defect detecting, warning execution systems for send and report to the police and stop to print the check out test set through actuating mechanism, the controller is connected with light source system, data process system, warning execution systems electricity respectively. The utility model discloses can effectively overcome the drawback that the linear array camera exists to can better realize metal printed matter printed patterns defect detecting, especially colour defect detecting, the utility model discloses can also effectively replace artifical the detection, and can promote the metal product printing industry technique to promote greatly.

Description

A kind of metallic article printing defects on-line detecting system based on machine vision
Technical field
This utility model relates to industrial vision detection technique field, particularly relates to a kind of metallic article printing defects on-line detecting system based on machine vision.
Background technology
It is nearly at blank field for metallic plate and other metallic article printing defects detection fields are domestic at present. For metallic article printed patterns defects detection, being limited only to line-scan digital camera at present and carry out defects detection, owing to applied environment also exists bigger vibrations, line-scan digital camera uses limited; Meanwhile, colour deficient cannot be detected by line-scan digital camera effectively.
Utility model content
The purpose of this utility model is in that to provide a kind of metallic article printing defects on-line detecting system based on machine vision for the deficiencies in the prior art, being somebody's turn to do the metallic article printing defects on-line detecting system based on machine vision can efficiently against the drawback existing for line-scan digital camera, and the detection of operplate printing product printed patterns defect can be realized better, particularly complete the defects detection of its color; It addition, this utility model can substitute manual detection effectively, and the lifting of metallic article printing industry technology can be greatly promoted.
For reaching above-mentioned purpose, this utility model is achieved through the following technical solutions.
A kind of metallic article printing defects on-line detecting system based on machine vision, includes:
Light-source system, is used for guaranteeing image capture environment light source homogeneous constant, without shadow;
Vision collecting system, for Real-time Collection production line metallic article dimensional printed chart picture, and by Real-time Collection to image be sent to data handling system;
Data handling system, electrically connects with vision collecting system and for the visual pattern received is carried out printing defects detection, including pattern defect detection, colour deficient detection;
Warning execution system, is used for sending warning and stopping printing detection device by actuator;
Controller, performs system with light-source system, data handling system, warning respectively and electrically connects.
Wherein, described light-source system includes cube lamp box, be installed in cube lamp box four strip sources, the normal linearity light source simulation current controller electrically connected with each strip source respectively, the inwall of cube lamp box is provided with white reflective coating, each strip source, through the repeatedly diffuse-reflectance of white reflective coating, provides the uniform lighting environment without shadow for described vision collecting system.
Wherein, described vision collecting system includes industrial camera, the first communication equipment, industrial camera and the electrical connection of the first communication equipment, and the first communication equipment electrically connects with described data handling system.
Wherein, described first communication equipment is USB3.0 or high speed fibre data transmission interface.
Wherein, described industrial camera is the high-resolution face battle array industrial camera with overall exposure mode.
Wherein, described data handling system includes for communicating with described vision collecting system and to accept the second communication equipment gathering image of vision collecting system, for showing the display terminal of visual pattern that second communication equipment receives and testing result, for storing image that second communication equipment receives and the memorizer of the image after data handling system defects detection.
Wherein, described data handling system includes image analysis analysis processor, analytical analysis processor resolves for the figure that described second communication equipment is received, to obtain raw graphics data and to utilize the figure defects detection algorithm preset that original image is carried out printing defects detection.
The beneficial effects of the utility model are: a kind of metallic article printing defects on-line detecting system based on machine vision described in the utility model, and it includes: light-source system, is used for guaranteeing image capture environment light source homogeneous constant, without shadow; Vision collecting system, for Real-time Collection production line metallic article dimensional printed chart picture, and by Real-time Collection to image be sent to data handling system; Data handling system, electrically connects with vision collecting system and for the visual pattern received is carried out printing defects detection, including pattern defect detection, colour deficient detection; Warning execution system, is used for sending warning and stopping printing detection device by actuator; Controller, performs system with light-source system, data handling system, warning respectively and electrically connects. By above-mentioned design, this utility model has the following advantages, particularly as follows: 1, for metallic article printing defects detect in such as pattern defect detection, compared to line-scan digital camera, it is wider that this utility model carries out pattern defect detection application, and during for detection environment and detection, the vibrations of metallic article have better adaptability; 2, for colour deficient detections such as metallic article printing defects detections, particularly acetes chinensis, the blank of the metal device printing defects detection fields such as domestic metallic plate has been filled up, for domestic initiation; 3, adopt on-line real-time measuremen mode, overcome the drawback of conventional macroscopic detection, improve efficiency and reliability, and human cost can be effectively saved; 4, carrying out detection in real time for metallic article printing defects, Realtime Alerts, when detecting defect, in real time testing result can be passed to actuator, the very first time blocks printer and continues the defective leaflet of printer belt, saves production cost, it is to avoid the waste of the resources of production.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, this utility model is illustrated, but the embodiment in accompanying drawing is not intended that restriction of the present utility model.
Fig. 1 is structural representation of the present utility model.
Include in FIG:
1 light-source system 11 cube lamp box
12 strip source 2 vision collecting systems
3 data handling system 4 controllers.
Detailed description of the invention
As it is shown in figure 1, a kind of metallic article printing defects detection system source system 1, it includes light-source system 1, vision collecting system 2, data handling system 3, warning execution system and controller 4; Light-source system 1 is for providing uniform shadow-free light district for defects detection; Vision collecting system 2 is for Real-time Collection video image, and is sent to data handling system 3 by USB3.0 by the video image of Real-time Collection; After data handling system 3 receives the video image that video acquisition system sends, it is possible to carry out resolving storage to it, transfer when using for needs. It addition, the video image that this receives can also be displayed by data handling system 3, can check in time for staff; Received video image can also be carried out preset algorithm analysis by data handling system 3, when this vision collecting to image printing defects detected time, then report to the police at once, and by execution system stop press printing.
Further, light-source system 1 includes strip source 12, inwall scribbles the cube lamp box 11 of white reflective coating, light-source system 1 is arranged on streamline, strip source 12 is four and is separately positioned on cube lamp box 11 4 limit, the setting height(from bottom) of four strip sources 12, adjustable angle. Wherein, need to further point out, strip source 12 includes multiple rows of high-brightness LED lamp, diffuse-reflectance plate and normal line light source simulation current controller 4, simulate current controller 4 by normal line light source and can regulate the brightness of strip source 12, strip source 12 is arranged on detection workpiece periphery certain area, by regulating strip source 12 setting height(from bottom) and angle, it is achieved close space inner light source and be uniformly distributed without shadow.
Further, vision collecting system 2 includes camera and camera lens, in defects detection, camera is area array cameras, and in order to effectively the colour deficients such as printed patterns defect particularly aberration be detected, camera is the high-resolution face battle array industrial camera with overall exposure mode. Vision collecting system 2 and second communication equipment adopt USB3.0 to carry out data link. Wherein, camera lens can adopt zoom wide-angle lens, in order to the abundant coating workpieces region of pickup area.
Further, data handling system 3 includes second communication equipment, display terminal, analytical analysis processor, memorizer; Wherein, second communication equipment communicates for the first communication equipment with video acquisition system, and for transmitting the video image that video acquisition system gathers, this second communication equipment can be USB3.0 or optical fiber etc. Display terminal can provide display interaction platform, shows for video, resolving information shows, video camera management etc.; This display terminal may also include have the industrial computer of display screen, notebook computer or other there is the terminal of function for monitoring. Analytical analysis processor is for resolving the video flowing received by second communication equipment, obtain raw image data, then this raw image data is called default defects detection algorithm, realize the metallic article printing defects detection in visible scene early warning, finally testing result is preserved in memory; Certainly, this analytical analysis processor is stored directly in memorizer, for this image of monitoring display terminal after resolving the raw image data obtained.
Above-mentioned data handling system 3, owing to adopting high resolution camera to carry out visual pattern collection, for 20,000,000 pixel color cameras, an image, probably at about 60M, calls operand during detection algorithm big, consider the convenience that later stage system maintenance algorithms updates, therefore adopt data handling system 3 to carry out data process reserved multiple USB3.0 interfaces, in actual applications can according to production line quantity, adopting distribution collection, the mode of focusing on completes defects detection.In native system, industrial camera is connected with second communication equipment by USB3.0, and the major function of data handling system 3 is to analyze the video flowing that second communication equipment receives, and analysis result is saved in memorizer.
Above-mentioned data handling system 3 calls default defects detection algorithm, the raw image data obtained is analyzed, it is judged that whether this raw image data exists printing defects. Concrete detection process is as follows:
First, the analysis processor metallic article printed patterns to collecting carries out registration rectification with the standard pattern being collected in advance;
Secondly, utilize matching type that shape defect is detected;
Again, can according to metallic article printed patterns color characteristic, in each Color Channel of sub-department, color component carries out color comparison, carries out chromatic aberration defect detection.
Raw image data is analyzed by above-mentioned analytical analysis processor, it is determined that when existing in which printing defects on this raw image data, can send this information detected to corresponding warning execution system, carry out reporting to the police to point out user to process in time; Utilize the corresponding system that performs to stop printer work simultaneously.
Summary situation is it can be seen that design by said structure, and in terms of existing technologies, a kind of metallic article printing defects on-line detecting system based on machine vision of the present utility model has the following advantages, particularly as follows:
1, this utility model is for the defect existed in the metal device printing process such as metallic plate, adopts high-resolution face battle array industrial camera, overall situation exposure mode, operplate printing product are carried out defects detection, and single detection region is big, and detection operation is simple, it is simple to realize;
2, this utility model is compared and is had significant advantage with utilizing line-scan digital camera to carry out printing defects detection. Utilizing the pattern defect that line-scan digital camera can only carry out existing in operplate printing product printing process effectively to detect, owing to adopting line source, carry out linear array scanning imaging, workpiece shakes substantially on a production line, affects testing result. And line-scan digital camera cannot effectively detect colour deficient. High-resolution area array cameras acquisition mode is simple, it is possible to be effectively prevented from the impact that vibration of workpiece brings, and can effectively detect colour deficient simultaneously;
3, this utility model is for colour deficient detections such as the metal device printing defects detections such as metallic plate, particularly acetes chinensis, has filled up the blank of the metal device printing defects detection fields such as domestic metallic plate, for domestic initiation;
4, this utility model is in order to remove the factors such as metal sheet surface is reflective impact, utilizes special light sources system 1 to eliminate the impact of production scene surrounding;
5, this utility model adopts on-line real-time measuremen mode, overcomes the drawback of conventional macroscopic detection, improves efficiency and reliability, saves human cost;
6, this utility model carries out detection in real time for metal device printing defects such as metallic plates, Realtime Alerts, when defect being detected, in real time testing result can be passed to actuator, the very first time blocks printer and continues the defective leaflet of printer belt, save production cost, it is to avoid the waste of the resources of production.
Above content is only preferred embodiment of the present utility model, for those of ordinary skill in the art, according to thought of the present utility model, all will change in specific embodiments and applications, this specification content should not be construed as restriction of the present utility model.

Claims (7)

1. the metallic article printing defects on-line detecting system based on machine vision, it is characterised in that include:
Light-source system (1), is used for guaranteeing image capture environment light source homogeneous constant, without shadow;
Vision collecting system (2), for Real-time Collection production line metallic article dimensional printed chart picture, and by Real-time Collection to image be sent to data handling system (3);
Data handling system (3), electrically connects with vision collecting system (2) and for the visual pattern received is carried out printing defects detection, including pattern defect detection, colour deficient detection;
Warning execution system, is used for sending warning and stopping printing detection device by actuator;
Controller (4), electrically connects with light-source system (1), data handling system (3), warning execution system respectively.
2. a kind of metallic article printing defects on-line detecting system based on machine vision according to claim 1, it is characterized in that: described light-source system (1) includes cube lamp box (11), it is installed in four strip sources (12) in cube lamp box (11), normal linearity light source simulation current controller (4) electrically connected with each strip source (12) respectively, the inwall of cube lamp box (11) is provided with white reflective coating, each strip source (12) is through the repeatedly diffuse-reflectance of white reflective coating, the uniform lighting environment without shadow is provided for described vision collecting system (2).
3. a kind of metallic article printing defects on-line detecting system based on machine vision according to claim 2, it is characterized in that: described vision collecting system (2) includes industrial camera, the first communication equipment, industrial camera and the electrical connection of the first communication equipment, the first communication equipment electrically connects with described data handling system (3).
4. a kind of metallic article printing defects on-line detecting system based on machine vision according to claim 3, it is characterised in that: described first communication equipment is USB3.0 or high speed fibre data transmission interface.
5. a kind of metallic article printing defects on-line detecting system based on machine vision according to claim 4, it is characterised in that: described industrial camera is the high-resolution face battle array industrial camera with overall exposure mode.
6. a kind of metallic article printing defects on-line detecting system based on machine vision according to claim 1 to 5 any one, it is characterised in that: described data handling system (3) includes for communicating with described vision collecting system (2) and to accept the second communication equipment gathering image of vision collecting system (2), for showing the display terminal of visual pattern that second communication equipment receives and testing result, for storing image that second communication equipment receives and the memorizer of the image after data handling system (3) defects detection.
7. a kind of metallic article printing defects on-line detecting system based on machine vision according to claim 6, it is characterized in that: described data handling system (3) includes image analysis analysis processor, analytical analysis processor resolves for the figure that described second communication equipment is received, to obtain raw graphics data and to utilize the figure defects detection algorithm preset that original image is carried out printing defects detection.
CN201521006882.9U 2015-12-08 2015-12-08 Metal product printing defect on -line measuring system based on machine vision Expired - Fee Related CN205317678U (en)

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Cited By (19)

* Cited by examiner, † Cited by third party
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CN106814080A (en) * 2016-11-17 2017-06-09 杭州利珀科技有限公司 Detecting system is thrown in one kind material bag leakage
CN106879249A (en) * 2017-04-26 2017-06-20 航天科技控股集团股份有限公司 Printed board assembly automatic checkout equipment
CN107132238A (en) * 2017-06-28 2017-09-05 南昌航空大学 A kind of image collecting device for bearing roller periphery
CN107421953A (en) * 2017-07-06 2017-12-01 东莞理工学院 Heat shrinkage film defect inspection method and terminal device
CN107817251A (en) * 2017-11-23 2018-03-20 苏州艺力鼎丰智能技术有限公司 A kind of carbon fiber surface of automobile part printed article defect intelligent detection equipment
CN107941823A (en) * 2017-11-23 2018-04-20 苏州艺力鼎丰智能技术有限公司 A kind of carbon fiber surface of automobile part prints volume defect intelligent detecting method
CN108375585A (en) * 2018-05-18 2018-08-07 华南理工大学 A kind of multiangle visual defect detection platform and detection method
CN108465643A (en) * 2018-05-18 2018-08-31 华南理工大学 A kind of defect detection equipment in production line
CN108665444A (en) * 2018-04-12 2018-10-16 浙江大学 A kind of fluorescence PCB three-proofing coating coating quality detecting systems and method
CN108918553A (en) * 2018-07-20 2018-11-30 深圳市智信精密仪器有限公司 Measuring device and measuring method for product Texture classification
CN108961166A (en) * 2018-07-06 2018-12-07 北京百度网讯科技有限公司 Full view image generating system, method and apparatus
CN109100358A (en) * 2018-10-18 2018-12-28 深圳市微埃智能科技有限公司 Vision detection system
CN109630912A (en) * 2019-02-27 2019-04-16 合刃科技(武汉)有限公司 Lighting device, machine vision equipment and illumination adjustments method
CN109996680A (en) * 2016-10-11 2019-07-09 Bst 艾尔特洛马特国际有限公司 The method of inspection of the functional unit for the material web being used for transmission
CN110335262A (en) * 2019-06-28 2019-10-15 西安理工大学 A kind of printed matter automatic defect classification method in machine vision
CN111174155A (en) * 2018-11-09 2020-05-19 B&R工业自动化有限公司 Illumination device for illuminating an area monitored by at least one image sensor
CN112525919A (en) * 2020-12-21 2021-03-19 福建新大陆软件工程有限公司 Wood board defect detection system and method based on deep learning
CN112683912A (en) * 2020-11-27 2021-04-20 成都数之联科技有限公司 Cloth cover defect visual detection method and device
CN112903696A (en) * 2021-01-20 2021-06-04 成都产品质量检验研究院有限责任公司 Photoelectric material and device appearance detection system

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109996680A (en) * 2016-10-11 2019-07-09 Bst 艾尔特洛马特国际有限公司 The method of inspection of the functional unit for the material web being used for transmission
CN106814080A (en) * 2016-11-17 2017-06-09 杭州利珀科技有限公司 Detecting system is thrown in one kind material bag leakage
CN106879249A (en) * 2017-04-26 2017-06-20 航天科技控股集团股份有限公司 Printed board assembly automatic checkout equipment
CN107132238A (en) * 2017-06-28 2017-09-05 南昌航空大学 A kind of image collecting device for bearing roller periphery
CN107421953A (en) * 2017-07-06 2017-12-01 东莞理工学院 Heat shrinkage film defect inspection method and terminal device
CN107817251A (en) * 2017-11-23 2018-03-20 苏州艺力鼎丰智能技术有限公司 A kind of carbon fiber surface of automobile part printed article defect intelligent detection equipment
CN107941823A (en) * 2017-11-23 2018-04-20 苏州艺力鼎丰智能技术有限公司 A kind of carbon fiber surface of automobile part prints volume defect intelligent detecting method
CN108665444A (en) * 2018-04-12 2018-10-16 浙江大学 A kind of fluorescence PCB three-proofing coating coating quality detecting systems and method
CN108375585A (en) * 2018-05-18 2018-08-07 华南理工大学 A kind of multiangle visual defect detection platform and detection method
CN108465643A (en) * 2018-05-18 2018-08-31 华南理工大学 A kind of defect detection equipment in production line
CN108961166A (en) * 2018-07-06 2018-12-07 北京百度网讯科技有限公司 Full view image generating system, method and apparatus
CN108961166B (en) * 2018-07-06 2024-05-31 北京百度网讯科技有限公司 Panoramic image generation system, method and device
CN108918553A (en) * 2018-07-20 2018-11-30 深圳市智信精密仪器有限公司 Measuring device and measuring method for product Texture classification
CN108918553B (en) * 2018-07-20 2024-05-31 深圳市智信精密仪器有限公司 Measuring device and measuring method for product texture classification
CN109100358A (en) * 2018-10-18 2018-12-28 深圳市微埃智能科技有限公司 Vision detection system
CN111174155A (en) * 2018-11-09 2020-05-19 B&R工业自动化有限公司 Illumination device for illuminating an area monitored by at least one image sensor
CN109630912A (en) * 2019-02-27 2019-04-16 合刃科技(武汉)有限公司 Lighting device, machine vision equipment and illumination adjustments method
CN110335262A (en) * 2019-06-28 2019-10-15 西安理工大学 A kind of printed matter automatic defect classification method in machine vision
CN112683912A (en) * 2020-11-27 2021-04-20 成都数之联科技有限公司 Cloth cover defect visual detection method and device
CN112525919A (en) * 2020-12-21 2021-03-19 福建新大陆软件工程有限公司 Wood board defect detection system and method based on deep learning
CN112903696A (en) * 2021-01-20 2021-06-04 成都产品质量检验研究院有限责任公司 Photoelectric material and device appearance detection system

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