CN106596562A - Magnet ring appearance quality on-line detection apparatus based on machine visual sense and method thereof - Google Patents

Magnet ring appearance quality on-line detection apparatus based on machine visual sense and method thereof Download PDF

Info

Publication number
CN106596562A
CN106596562A CN201611208400.7A CN201611208400A CN106596562A CN 106596562 A CN106596562 A CN 106596562A CN 201611208400 A CN201611208400 A CN 201611208400A CN 106596562 A CN106596562 A CN 106596562A
Authority
CN
China
Prior art keywords
magnet ring
measured
controller
shadow
ring
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201611208400.7A
Other languages
Chinese (zh)
Inventor
孔庆杰
郭玉昆
孙旭光
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Ruishi Intelligent Detection Co Ltd
Original Assignee
Guangdong Ruishi Intelligent Detection Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Ruishi Intelligent Detection Co Ltd filed Critical Guangdong Ruishi Intelligent Detection Co Ltd
Priority to CN201611208400.7A priority Critical patent/CN106596562A/en
Publication of CN106596562A publication Critical patent/CN106596562A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8806Specially adapted optical and illumination features
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8854Grading and classifying of flaws
    • G01N2021/888Marking defects
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8887Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques

Landscapes

  • Chemical & Material Sciences (AREA)
  • Biochemistry (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Immunology (AREA)
  • Analytical Chemistry (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The invention relates to the technical field of magnet ring, and especially relates to a magnet ring appearance quality on-line detection apparatus based on machine visual sense and a method thereof. According to the invention, a shooting apparatus is employed for collecting appearance images of the magnet ring to a controller, the controller automatically detects the appearance defect of the to-be-detected magnet ring, so that the internal and external diameter size, concentricity, surface foreign matters, bumps, cracks and gaps of the magnet ring workpiece can be conveniently detected, compared with artificial detection, the detection speed of the apparatus is faster, the detection precision is higher, the detection standard is more standard, at the same time, an annular shadowless lamp is employed for lightening the to-be-detected magnet ring with 360 DEG, shooting effect of the shooting apparatus is not influenced by the shade and shadow, the shooting image is more intelligible, and the detection result analyzed by the images is more accurate and reliable.

Description

Ferrite core appearance quality on-line detecting device and method based on machine vision
Technical field
The present invention relates to magnet ring technical field, more particularly to a kind of Ferrite core appearance quality on-line checking based on machine vision Device and method.
Background technology
At present, improve constantly along with the application demand of magnet ring production industry, also more and more higher required to its quality of production, Therefore the presentation quality for how guaranteeing the product of external sale is just particularly important.However, traditional Ferrite core appearance quality inspection Survey mode adopts manual detection, and the Ferrite core appearance quality that this mode is detected differs, and detection efficiency is low, it is impossible to form specification Change, and the human cost of manual detection is high, is unfavorable for the further development of magnet ring production industry.
The content of the invention
Present invention aims to the deficiencies in the prior art and a kind of Ferrite core appearance matter based on machine vision is provided Amount on-line measuring device and method, to lift the detection efficiency of Ferrite core appearance quality, the examination criteria of specification Ferrite core appearance quality.
To reach above-mentioned purpose, the present invention is achieved through the following technical solutions:
A kind of Ferrite core appearance quality on-line detecting device based on machine vision, including annular shadow-free light lamp, filming apparatus are provided And controller, annular shadow-free light lamp and magnet ring to be measured be coaxially disposed so as to carry out to magnet ring to be measured without shadow polishing, and filming apparatus are adopted Collect the appearance images of magnet ring to be measured to controller, controller detects the open defect of magnet ring to be measured according to appearance images.
Wherein, also including transparent microscope carrier and the rotary apparatuss being electrically connected with the controller, magnet ring to be measured is placed on transparent microscope carrier On, controller control rotary apparatuss start/stop, and rotary apparatuss drive transparent microscope carrier rotation to drive magnet ring to be measured to rotate.
Wherein, also including triggering device, triggering device is sent the signal of telecommunication by triggering to controller, and controller receives the signal of telecommunication Then synchronous averaging rotary apparatuss and filming apparatus.
A kind of Ferrite core appearance quality online test method based on machine vision is also provided, by annular shadow-free light lamp and to be measured Magnet ring is coaxially disposed so as to carry out to magnet ring to be measured without shadow polishing, and the appearance images of magnet ring to be measured are gathered to control with filming apparatus Device, with controller the open defect of magnet ring to be measured is detected according to appearance images.
Wherein, filming apparatus are provided with multiple, and filming apparatus gather the process of Ferrite core appearance image to be measured and comprise the following steps:
Top view acquisition step:The top view of magnet ring to be measured is gathered with the first filming apparatus and be transferred to controller, controller root The specification of magnet ring to be measured is calculated according to top view;
Internal view acquisition step:With the second filming apparatus, top downward-sloping is shot by magnet ring to be measured from the ring of magnet ring to be measured The internal view of interior axial plane and top surface composition is simultaneously transferred to controller, and controller detects axial plane and top in magnet ring to be measured according to internal view Open defect on face;
External view acquisition step:Device being taken the photograph with third shot and being inclined upwardly from the ring outer lower side of magnet ring to be measured shoot by magnet ring to be measured The external view of outer axial face and bottom surface composition is simultaneously transferred to controller, and controller detects magnet ring outer axial face to be measured and bottom according to external view Open defect on face.
Wherein, the top view acquisition step includes:
External diameter obtaining step:Image binaryzation process is carried out to top view, top view is then analyzed to extract magnet ring to be measured Outer profile image, then edge fitting is carried out using method of least square to the outer profile image of magnet ring to be measured, so as to draw magnetic to be measured First center of ring and/or outside dimension;
Internal diameter obtaining step:Image binaryzation process is carried out to top view, top view is then analyzed to extract magnet ring to be measured Internal periphery image, then edge fitting is carried out to the Internal periphery imagery exploitation method of least square of magnet ring to be measured, so as to draw magnetic to be measured Second center of ring and/or internal diameter size.
Wherein, the top view acquisition step also includes:First center and second center of the controller according to magnet ring to be measured Calculate the concentricity of magnet ring to be measured.
Wherein, when top view and internal view is gathered, annular shadow-free light lamp is placed in directly over magnet ring to be measured so as to treat Surveying magnet ring is carried out without shadow polishing;When external view is gathered, annular shadow-free light lamp is placed in magnet ring underface to be measured so as to for be measured Magnet ring is carried out without shadow polishing.
Wherein, according to internal diameter size and outside dimension by internal view and external view be divided into interior axial plane region, top surface areas, Outer axial face region and base surface area, then to each region carry out edge specific detection to identify defect area respectively.
Wherein, edge analysis are carried out to each defect area and analysis result is compared with default extraction threshold value, The magnet ring to be measured that the defect area is located is extracted if analysis result is more than threshold value is extracted.
The present invention gathers the appearance images of magnet ring to be measured to controller using filming apparatus, controller according to appearance images from The dynamic open defect for detecting magnet ring to be measured, so as to very easily detect magnet ring part inside and outside diameter size, concentricity, surface The defect kinds such as foreign body, salient point, crackle, breach, compared with traditional manual detection, faster, accuracy of detection is higher for detection speed, Examination criteria more specification, while 360 degree are carried out to magnet ring to be measured without shadow polishing using annular shadow-free light lamp, it is ensured that filming apparatus Shooting effect is not affected by shadow, becomes apparent from shooting image, more accurately may be used according to the testing result that graphical analyses go out Lean on.
Description of the drawings
The present invention is further detailed below with accompanying drawing, but the embodiment in accompanying drawing is not constituted to this Bright any restriction.
Fig. 1 is the aggregate analysis flow chart of the present invention;
Fig. 2 is the top view analysis process figure of the present invention.
Fig. 3 is the internal view analysis process figure of the present invention.
Fig. 4 is the external view analysis process figure of the present invention.
Specific embodiment
With reference to specific embodiment, the present invention will be described.
Detection means includes controller, the photoelectric sensor of electrical connection controller and the transparent load being made up of glass disk Platform, transparent microscope carrier top has kept flat magnet ring to be measured, and transparent microscope carrier lower section is fixedly connected rotary apparatuss, rotary apparatuss and controller electricity Connection, triggers photoelectric sensor and sends the signal of telecommunication to controller when magnet ring to be measured is placed on transparent microscope carrier, controller is received Start rotary apparatuss after the signal of telecommunication, the rotary apparatuss being activated drive transparent microscope carrier to rotate so as to drive magnet ring to be measured at the uniform velocity to turn It is dynamic.To ensure the accuracy of the internal-and external diameter and concentricity detection of magnet ring to be measured, it is provided with logical with controller directly over transparent microscope carrier First filming apparatus of news connection, first filming apparatus are made up of the area array cameras with distance light camera lens, and distance light camera lens is towards under The square top view to shoot magnet ring to be measured.To ensure the integrity of axial plane and top surface defects detection in magnet ring, in magnet ring to be measured Top is provided with the second filming apparatus being connected with controller communication in ring, second filming apparatus by 360 degree of camera lenses in band face Array camera is constituted, and interior 360 degree of camera lenses are downward-sloping to shoot the internal view being made up of axial plane and top surface in magnet ring to be measured, equally, Magnet ring ring to be measured below transparent microscope carrier is externally provided with the third shot being connected with controller communication and takes the photograph device, and the third shot takes the photograph device It is made up of the area array cameras of the outer 360 degree of camera lenses of band, outward 360 degree of camera lenses are inclined upwardly to shoot by magnet ring outer axial face to be measured and bottom surface The external view of composition.
During detection, magnet ring to be measured is lain against on transparent microscope carrier, now the light path of photoelectric sensor is blocked so as to trigger Photoelectric sensor to controller sends the signal of telecommunication, and controller receives control rotary apparatuss after the signal of telecommunication and goes to drive transparent microscope carrier to enter Row rotation, so as to drive magnet ring uniform rotation to be measured.As shown in figure 1, controller controls after magnet ring rotation to be measured, to perform with lower section Method step:
S1:Top view is acquired as shown in Figure 2, including:
S11:For 360 degree to magnet ring to be measured without shadow polishing so that magnet ring to be measured uniform illumination everywhere, controller control movement Device is placed in the coaxial top of magnet ring to be measured and collimated backlight lamp is placed in below glass disk, Ran Houqi annular shadow-free light lamp Dynamic first filming apparatus are shot to gather the top view of magnet ring to be measured.
S12:Image binaryzation process is carried out to top view, top view is then analyzed and using outline extraction technique to extract Go out the outer profile image of magnet ring to be measured, then edge fitting is carried out using method of least square to the outer profile image of magnet ring to be measured, from And the top surface lines figure of magnet ring to be measured is drawn, the first center and the outside dimension isotactic of magnet ring to be measured are obtained according to top surface lines figure Lattice.In the same manner, the second center and the internal diameter size equal-specification of magnet ring to be measured are obtained.By internal diameter size and the underproof product of outside dimension Product automatic sorting and classification are processed.
S13:According to the first center and the second center calculation calculated in step S12 pixel concentricity in the picture, Then the actual concentricity equal-specification of magnet ring to be measured is obtained according to the pixel scaling of the first filming apparatus.By actual concentricity Product automatic sorting and classification process.
S2:Internal view is acquired as shown in Figure 3, including:
S21:Keep annular shadow-free light lamp constant with parallel backlight position, and start the second filming apparatus being shot to gather The internal view being made up of axial plane and top surface in magnet ring to be measured.
S22:According to internal diameter size and outside dimension calculated in step S12 by the image division in internal view be interior axle Face region and top surface areas, to avoid examining surface defect using the image middle magnetic ring Internal periphery edge of interior 360 degree of camera lenses collection The impact of survey, then respectively internal axial plane region and top surface areas carry out edge specific detection to identify defect area, from And detect the open defect in magnet ring to be measured on axial plane and top surface.
S23:Edge analysis are carried out and by analysis result and default extraction to each defect area of gained in step 22 Threshold value is compared, and the magnet ring to be measured that the defect area is located is extracted if analysis result is more than threshold value is extracted, so as to The automatic sorting of bad products and classification are processed.
S3:External view is acquired as shown in Figure 4, including:
S31:Control mobile device is placed in the coaxial lower section of magnet ring to be measured and collimated backlight lamp is placed in glass annular shadow-free light lamp Glass disk top, then starts third shot and takes the photograph device and shot and outer regarded by what magnet ring outer axial face to be measured and bottom surface were constituted with gathering Figure.
S32:According to internal diameter size and outside dimension calculated in step S12 by the image division in external view be outer shaft Face region and base surface area, then to outer axial face region and base surface area carry out edge specific detection to identify defect respectively Region, so as to detect magnet ring outer axial face to be measured and the open defect on bottom surface.
S33:Edge analysis are carried out and by analysis result and default extraction to each defect area of gained in step S32 Threshold value is compared, and the magnet ring to be measured that the defect area is located is extracted if analysis result is more than threshold value is extracted, so as to The automatic sorting of bad products and classification are processed.
The present invention is directed to the needs of magnet ring production industry presentation quality on-line real time monitoring, using computer vision technique, The on-line real-time measuremen to Ferrite core appearance quality is realized, has the advantages that attended operation simplicity, speed are fast, highly reliable, it is special It is not the magnet ring of the different size type for producing on production line, detection can be met and required.Simultaneously using annular without shadow Light lamp carries out 360 degree to magnet ring to be measured without shadow polishing, to eliminate using the shadow region produced by unidirectional lamp, makes magnetic loop image in figure As error will not be produced during binaryzation because of the presence in shadow region, so as to the testing result gone out according to graphical analyses more accurately may be used Lean on.
It should be noted that during filming apparatus are shot, controller can be according to the velocity of rotation of magnet ring to be measured Control filming apparatus shoot when time of exposure, with guarantee shoot apparent and without smear.In addition, the second filming apparatus are not Top in the ring of magnet ring to be measured can be only located at, it is also possible to located at the outer top of the ring of magnet ring to be measured.Equally, third shot takes the photograph device Can be located at outside the magnet ring ring to be measured above transparent microscope carrier.
Above content is only presently preferred embodiments of the present invention, for one of ordinary skill in the art, according to the present invention's Thought, will change in specific embodiments and applications, and this specification content should not be construed as to the present invention Restriction.

Claims (10)

1. the Ferrite core appearance quality on-line detecting device based on machine vision, is characterized in that:Including annular shadow-free light lamp, shoot dress Put and controller, annular shadow-free light lamp and magnet ring to be measured are coaxially disposed so as to carry out magnet ring to be measured without shadow polishing, filming apparatus The appearance images of magnet ring to be measured are gathered to controller, controller detects the open defect of magnet ring to be measured according to appearance images.
2. the Ferrite core appearance quality on-line detecting device based on machine vision according to claim 1, is characterized in that:Also wrap Transparent microscope carrier and the rotary apparatuss being electrically connected with the controller are included, magnet ring to be measured is placed on transparent microscope carrier, controller control rotation Device starts/stops, and rotary apparatuss drive transparent microscope carrier rotation to drive magnet ring to be measured to rotate.
3. the Ferrite core appearance quality on-line detecting device based on machine vision according to claim 2, is characterized in that:Also wrap Triggering device is included, triggering device is sent the signal of telecommunication by triggering to controller, and controller receives the signal of telecommunication and then starts rotary apparatuss.
4. the Ferrite core appearance quality online test method based on machine vision, is characterized in that:By annular shadow-free light lamp and magnetic to be measured Ring is coaxially disposed so as to carry out to magnet ring to be measured without shadow polishing, and the appearance images of magnet ring to be measured are gathered to control with filming apparatus Device, with controller the open defect of magnet ring to be measured is detected according to appearance images.
5. online test method according to claim 4, is characterized in that filming apparatus are provided with multiple, and filming apparatus collection is treated The process for surveying Ferrite core appearance image is comprised the following steps:
Top view acquisition step:The top view of magnet ring to be measured is gathered with the first filming apparatus and be transferred to controller, controller root The specification of magnet ring to be measured is calculated according to top view;
Internal view acquisition step:With the second filming apparatus, top downward-sloping is shot by magnet ring to be measured from the ring of magnet ring to be measured The internal view of interior axial plane and top surface composition is simultaneously transferred to controller, and controller detects axial plane and top in magnet ring to be measured according to internal view Open defect on face;
External view acquisition step:Device being taken the photograph with third shot and being inclined upwardly from the ring outer lower side of magnet ring to be measured shoot by magnet ring to be measured The external view of outer axial face and bottom surface composition is simultaneously transferred to controller, and controller detects magnet ring outer axial face to be measured and bottom according to external view Open defect on face.
6. online test method according to claim 5, is characterized in that the top view acquisition step includes:
External diameter obtaining step:Image binaryzation process is carried out to top view, top view is then analyzed to extract magnet ring to be measured Outer profile image, then edge fitting is carried out using method of least square to the outer profile image of magnet ring to be measured, so as to draw magnetic to be measured First center of ring and/or outside dimension;
Internal diameter obtaining step:Image binaryzation process is carried out to top view, top view is then analyzed to extract magnet ring to be measured Internal periphery image, then edge fitting is carried out to the Internal periphery imagery exploitation method of least square of magnet ring to be measured, so as to draw magnetic to be measured Second center of ring and/or internal diameter size.
7. online test method according to claim 6, is characterized in that the top view acquisition step also includes:Controller The concentricity of magnet ring to be measured is gone out according to the first center of magnet ring to be measured and the second center calculation.
8. online test method according to claim 5, is characterized in that:When top view and internal view is gathered, annular Shadow-free light lamp is placed in directly over magnet ring to be measured so as to carry out without shadow polishing for magnet ring to be measured;When external view is gathered, annular nothing Shadow light lamp is placed in immediately below magnet ring to be measured so as to carry out without shadow polishing for magnet ring to be measured.
9. online test method according to claim 6, is characterized in that:According to internal diameter size and outside dimension by internal view Interior axial plane region, top surface areas, outer axial face region and base surface area are divided into external view, then each region are carried out respectively Edge specific detection is identifying defect area.
10. online test method according to claim 9, is characterized in that:Edge analysis are carried out simultaneously to each defect area Analysis result is compared with default extraction threshold value, the defect area is located if analysis result is more than threshold value is extracted Magnet ring to be measured is extracted.
CN201611208400.7A 2016-12-23 2016-12-23 Magnet ring appearance quality on-line detection apparatus based on machine visual sense and method thereof Pending CN106596562A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611208400.7A CN106596562A (en) 2016-12-23 2016-12-23 Magnet ring appearance quality on-line detection apparatus based on machine visual sense and method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611208400.7A CN106596562A (en) 2016-12-23 2016-12-23 Magnet ring appearance quality on-line detection apparatus based on machine visual sense and method thereof

Publications (1)

Publication Number Publication Date
CN106596562A true CN106596562A (en) 2017-04-26

Family

ID=58601499

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611208400.7A Pending CN106596562A (en) 2016-12-23 2016-12-23 Magnet ring appearance quality on-line detection apparatus based on machine visual sense and method thereof

Country Status (1)

Country Link
CN (1) CN106596562A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107025653A (en) * 2017-06-17 2017-08-08 丹凤县荣毅电子有限公司 A kind of magnet ring detection method based on machine vision
CN107356213A (en) * 2017-06-26 2017-11-17 精锐视觉智能科技(深圳)有限公司 Optical filter concentricity measuring method and terminal device
CN107525480A (en) * 2017-08-31 2017-12-29 长江存储科技有限责任公司 A kind of longhole survey method and device
CN110839100A (en) * 2019-11-18 2020-02-25 东莞智得电子制品有限公司 Mobile phone key detection method and system
CN111947720A (en) * 2020-09-19 2020-11-17 深圳市睿阳精视科技有限公司 Visual detection equipment for appearance quality of part and appearance quality detection method thereof
CN116087217A (en) * 2023-04-10 2023-05-09 湖北工业大学 Industrial assembly line dynamic quality detection module and method based on machine vision

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102507588A (en) * 2011-10-08 2012-06-20 西安交通大学 Detecting device of bonding and encapsulation quality of transparent polymeric material micro device and detecting method
CN104806909A (en) * 2015-04-27 2015-07-29 江苏中科贯微自动化科技有限公司 High-brightness LED (light-emitting diode) shadowless light source used for machine vision system
CN105388164A (en) * 2015-12-15 2016-03-09 重庆蓝姆焊接设备有限公司 Automobile part welding spot detection device
CN105445275A (en) * 2015-12-25 2016-03-30 珠海格力电器股份有限公司 Electronic device appearance detection system and electronic device appearance detection method
CN205199964U (en) * 2015-11-30 2016-05-04 浙江理工大学 Magnetic ring detection device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102507588A (en) * 2011-10-08 2012-06-20 西安交通大学 Detecting device of bonding and encapsulation quality of transparent polymeric material micro device and detecting method
CN104806909A (en) * 2015-04-27 2015-07-29 江苏中科贯微自动化科技有限公司 High-brightness LED (light-emitting diode) shadowless light source used for machine vision system
CN205199964U (en) * 2015-11-30 2016-05-04 浙江理工大学 Magnetic ring detection device
CN105388164A (en) * 2015-12-15 2016-03-09 重庆蓝姆焊接设备有限公司 Automobile part welding spot detection device
CN105445275A (en) * 2015-12-25 2016-03-30 珠海格力电器股份有限公司 Electronic device appearance detection system and electronic device appearance detection method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
俞甫: "基于机器视觉的磁环多表面缺陷检测系统研究", 《中国优秀硕士学位论文全文数据库》 *
刘科文 等: "基于机器视觉的圆环形零件形位尺寸自动测量", 《工业控制计算机》 *
李海昌等: "基于图像轮廓分析的LCD线路缺陷检测", 《激光技术》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107025653A (en) * 2017-06-17 2017-08-08 丹凤县荣毅电子有限公司 A kind of magnet ring detection method based on machine vision
CN107356213A (en) * 2017-06-26 2017-11-17 精锐视觉智能科技(深圳)有限公司 Optical filter concentricity measuring method and terminal device
CN107525480A (en) * 2017-08-31 2017-12-29 长江存储科技有限责任公司 A kind of longhole survey method and device
CN110839100A (en) * 2019-11-18 2020-02-25 东莞智得电子制品有限公司 Mobile phone key detection method and system
CN111947720A (en) * 2020-09-19 2020-11-17 深圳市睿阳精视科技有限公司 Visual detection equipment for appearance quality of part and appearance quality detection method thereof
CN116087217A (en) * 2023-04-10 2023-05-09 湖北工业大学 Industrial assembly line dynamic quality detection module and method based on machine vision

Similar Documents

Publication Publication Date Title
CN106596562A (en) Magnet ring appearance quality on-line detection apparatus based on machine visual sense and method thereof
CN103090804B (en) Automatic detection system and detection method of finished product magnet ring image
CN202075755U (en) Visual detection device for microcracks on surface of workpiece
CN108230324B (en) Visual detection method for microdefect on surface of magnetic shoe
CN104730091B (en) The extraction of gas turbine blades defect and analysis method based on region segmentation detection
CN106093068A (en) The imaging system of lithium battery pole slice surface defect detection apparatus and using method thereof
CN102374996B (en) Multicast detection device and method for full-depth tooth side face defects of bevel gear
CN110403232B (en) Cigarette quality detection method based on secondary algorithm
CN103323457A (en) Fruit appearance defect real-time on-line detection system and detection method
WO2014139231A1 (en) System and method for testing and regulating uniformity of light intensity of light source
CN106468668A (en) Industrial camera cylinder detection method
JP2018017639A (en) Surface defect inspection method and surface defect inspection device
CN110146516A (en) Fruit sorter based on orthogonal binocular machine vision
CN103630554B (en) Detection device and method for defects on double faces of lens
CN104315977B (en) Rubber stopper quality detection device and detection method
CN103743761A (en) Lens watermark defect image detection device
CN104655060B (en) Surface detection of steel ball device
CN107664644A (en) A kind of apparent automatic detection device of object based on machine vision and method
CN106353336A (en) Lens coating automatic detection system
CN109900719A (en) A kind of visible detection method of blade surface knife mark
CN109557110A (en) The full surface blemish detection device of bearing ring and method based on machine vision
CN109738454A (en) A kind of soft-package battery tab detection device and method
Fu et al. Medicine glass bottle defect detection based on machine vision
CN113916127A (en) Visual inspection system and method for appearance of valve guide pipe finished product
CN106645185A (en) Method and device for intelligently detecting surface quality of industrial parts

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20170426

RJ01 Rejection of invention patent application after publication