CN208568616U - Glass tin defects vision identification system - Google Patents
Glass tin defects vision identification system Download PDFInfo
- Publication number
- CN208568616U CN208568616U CN201820663787.3U CN201820663787U CN208568616U CN 208568616 U CN208568616 U CN 208568616U CN 201820663787 U CN201820663787 U CN 201820663787U CN 208568616 U CN208568616 U CN 208568616U
- Authority
- CN
- China
- Prior art keywords
- glass
- imaging device
- lens imaging
- tin defects
- image
- 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.)
- Active
Links
Abstract
The utility model discloses a kind of glass tin defects vision identification systems, comprising: lens imaging device, for carrying out image scanning to glass；Lighting device；Mirror devices obtain glass in the corresponding virtual image information of setting position for attachment lens imaging device；Transmission device is used for so that generating relative movement between glass and lens imaging device；Controller, lighting device and lens imaging device are communicated to connect, for controlling lighting device according to the conversion of timesharing switching progress light illumination mode and controlling lens imaging device to glass progress continuous scanning to obtain real image image and the virtual images under corresponding light illumination mode；Digital Image Processor communicates to connect controller and lens imaging device, the real image image and virtual images for generating control instruction to controller and receiving lens imaging device generates, to determine glass with the presence or absence of the type of tin defects and/or tin defects.Its identification for being conducive to the automatic identification and its type of tin defects in glass production or process.
Description
Technical field
The utility model relates to glass production or manufacture fields, particularly, are related to a kind of glass tin defects vision identification system
System.
Background technique
Float glass liquid flows through runner from melting furnaces and enters molten tin bath, and in the top of molten metal tin liquor, tiling is spread out and is configured to
Glass.In the direction of glass tape travel, 1100 DEG C when the own temperature of glass is by entering molten tin bath, it is cooled to leave molten tin bath and enter and moves back
600 DEG C of temperature when fiery kiln.Inevitably, tin grain, or even internal infiltration can be adhered in lower glass surface, upper surface and side
Tin grain, to form the tin defects of glass surface and/or inside.In the prior art, there is no for float glass carry out surface and/
Or the device that internal tin defects are detected and identified.
Utility model content
The utility model provides a kind of glass tin defects vision identification system, to solve the tin of float glass converted products
The technical issues of defect online automatic detection.
The technical solution adopted in the utility model is as follows:
A kind of glass tin defects vision identification system comprising:
At least a set of lens imaging device, for carrying out image scanning to glass；
Lighting device, for providing illumination for the imaging of glass；
At least a set of mirror devices are set to upper surface side and/or the lower face side of glass, for attachment lens imaging dress
It sets and obtains glass in the corresponding virtual image information of setting position；
Transmission device is used for so that generating relative movement between glass and lens imaging device；
Controller communicates to connect lighting device and lens imaging device, is switched into for controlling lighting device according to timesharing
The conversion of row light illumination mode simultaneously controls lens imaging device to glass progress continuous scanning to obtain the reality under corresponding light illumination mode
As image and virtual images；
Digital Image Processor communicates to connect controller and lens imaging device, for generating control instruction to controller
And real image image and virtual images that receiving lens imaging device generates, to determine that glass is lacked with the presence or absence of tin defects and/or tin
Sunken type.
Further, lighting device includes the combined light source of multiple light sources, and combined light source passes through under the control of the controller
Various combination timesharing switching illumination between each light source provides the light illumination mode of a variety of different brightness of illumination；
The multiple light sources of lighting device are combined into array shape, disc shape or are adapted to detect for the other shapes needed.
Further, lighting device is under the control of the controller through the corresponding spectrum transform of each light source to increase light illumination mode
Switching.
Further, lighting device is equipped with the angle converting mechanism for adjusting its angle between glass, angular transition machine
Structure communicates to connect controller, to adjust the angle between lighting device and glass under the control of the controller.
Further, lens imaging device includes angle-adjusting mechanism and one or more lens imaging component, and one
Or multiple lens imaging components adjust imaging posture through angle-adjusting mechanism.
Further, lens imaging device is using CCD linear array imaging component, the face CCD battle array image-forming assembly, CMOS linear array imaging
Component or the face CMOS battle array image-forming assembly.
Further, lens imaging device includes the upper view lens imaging device being set to above glass, mirror devices packet
It includes and is set to the first face mirror of lower glass surface and/or the three mirror contact lens of peripheral side；Or
Lens imaging device includes the lower view lens imaging device being set to below glass, and mirror devices include being set to glass
Second face mirror of glass upper surface and/or the three mirror contact lens of peripheral side.
Further, Digital Image Processor includes:
Tin defects position judging module, for the colour-difference according to real image image and virtual images corresponding at position to be measured
The opposite sex identifies tin defects and determines the type of tin defects, and the type of tin defects includes: positioned at the upper surface of glass, positioned at glass
Lower surface, the inside positioned at glass.
Further, Digital Image Processor further includes at least one of:
Quality grade compartmentalization module, for being counted tin defects analysis result to carry out quality grading to product and obtain
Credit rating information；
Defective locations analysis module determines the length of each defect, width, area and three for analyzing result according to tin defects
Relative position information is tieed up, and generates the flat distribution map and/or three-dimensional distribution map of tin defects；
Memory module, for receiving and storing tin defects analysis result.
Further, Digital Image Processor further includes at least one of:
Intelligence learning module, the distribution probability for summary and induction tin defects in each grade, combined standard draw float glass process glass
Glass production-line technique normal probability curve band and abnormal probability curve band in terms of tin defects, and corresponding drift section；
Production technology optimization module, the related process parameters for real-time reception from glass molten tin bath are established it and are lacked with tin
Sunken relation curve model, to be monitored to glass molten tin bath production run and provide related guidance；
Parameter uploading module, for controlling collected tin defects data-pushing and/or the open correlation to glass molten tin bath
System processed, to establish corresponding model, to provide related guidance to glass molten tin bath production run.
Further, the stamp on Digital Image Processor communication connection production line for carrying out stamp mark to glass is set
The communication connection of standby and/or Digital Image Processor for carrying out smart-cut, product sorting or the industry for scrapping processing online
Robot.
The utility model has the following beneficial effects:
The utility model glass tin defects vision identification system, the variation of the light illumination mode by controlling lighting device, and
Lens imaging device directly acquire glass it is illuminated when real image and the virtual image information under the auxiliary of mirror devices, according to tin lack
It falls into oxidation front and back retrochromism and passes through image analysis, identifying glass whether there is tin defects, and may further determine that tin
The type of defect, conducive to the automatic identification of tin defects in float glass process and the identification of defect type.
Other than objects, features and advantages described above, there are also other purposes, feature and excellent for the utility model
Point.Below with reference to accompanying drawings, the utility model is described in further detail.
Detailed description of the invention
The attached drawing constituted part of this application is used to provide a further understanding of the present invention, the utility model
Illustrative embodiments and their description are not constituteed improper limits to the present invention for explaining the utility model.In attached drawing
In:
Fig. 1 is the planar structure schematic diagram of the preferred embodiment in the utility model glass tin defects vision identification system.
Description of symbols:
1, bracket；2, transmission device；3, lighting device；4, camera；5, it is tested glass；
6, low-transmittance coated reflective mirror；7, controller；8, digital image processing apparatus；
9, the isochronous controller communications cable；10, the camera data communications cable.
Specific embodiment
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The utility model will be described in detail below with reference to the accompanying drawings and embodiments.
It should be appreciated that the attached drawing of the utility model and describing simplified, help to be expressly understood with example practical
Novel system and various components, while the purpose of this utility model being described for emphasis, eliminate glass tin defects vision mirror
Non-critical component in other system.It would be recognized by those skilled in the art that in order to implement the utility model, other assemblies be can be
It is desired and/or be required.However, since these components are it is known in the art, and since they do not help more
The utility model is understood well, so not providing the description as described in these components herein.It is also understood that included by this paper
Attached drawing simply show the present exemplary of graphical representation to(for) the utility model, fall into the knot in the scope of the utility model
Structure may include being different from these structures shown in the accompanying drawings.In the accompanying drawings, similar appended drawing reference is given to similar structure.
Fig. 1 show the preferred embodiment in the utility model for detecting glass tin defects vision identification system.It includes:
Support device: bracket 1；
Glass: tested glass 5；
Lighting device: lighting device 3；
Lens imaging device: camera 4；
Mirror devices: low-transmittance coated reflective mirror 6；
Transmission device: transmission device 2；
Controller: controller 7；
Digital image processing apparatus: Digital Image Processor 8.
In the present embodiment, it is any to can be float glass, organic glass, vehicle glass, mobile phone glass etc. for tested glass 5
Glass.
Transmission device is for allowing tested glass 5 relative to generation relative movement between bracket 1.For example, as shown in fig. 1,
By the way that tested glass 5 is generated above-mentioned relative movement relative to the movement of bracket 1.It can also be by being moved relative to tested glass 5
Bracket 1 is moved to obtain above-mentioned relative movement.Such as when detected 5 mass of glass is very big, size is very big high, mobile bracket 1 is wanted
It is easier than mobile tested glass 5.Transmission device 2 in this example is conveyor type transmission device.Presented for purpose of illustration and not limitation
Purpose, hereinafter will assume that bracket 1 is kept fixed, and enable tested glass 5 with respect to their movements.
Fig. 1 shows bracket 1, transmission device 2, lighting device 3, camera 4, quilt in glass tin defects vision identification system
It surveys glass 5, low-transmittance coated reflective mirror 6, controller 7, Digital Image Processor 8 and they is opposite with tested glass 5
Positional relationship, wherein the synchronized controller communication cable 9 of controller 7 connects lighting device 3, camera 4, Digital Image Processor 8
It is communicated to connect through camera data communication cable 10 and camera 4, controller 7.As shown in Figure 1, identifying in the glass tin defects vision
In system, tested glass 5 is moved along the direction perpendicular to plane with speed V.Lens imaging device includes 1 camera 4, camera 4
It is responsible for collecting light, and the light being collected into is imaged on its photosurface, and convert electric signal.In this example, camera 4 be can be used
CCD linear array imaging component, the face CCD battle array image-forming assembly, CMOS linear array imaging component, the face CMOS battle array image-forming assembly or other imaging groups
Part usually can also integrate respective image processing function, export related defective data information etc..
As shown in Figure 1, on the crossbeam of 3 mounting bracket 1 of lighting device, lighting device 3 is equipped in the utility model example
Angle converting mechanism adjusts the angle of its input path Yu tested 5 plane of glass under control of the controller 7, mentions for camera 4
For optimal illumination scene.Preferably, lighting device 3 is combined into array shape, disc shape by multiple light sources or is adapted to detect for needs
Other shapes.Under control of the controller 7, it is provided a variety of different by the various combination timesharing switching illumination between each light source
Light illumination mode provides a variety of different brightness selections for tested glass 5, and camera 4 then acquires the image under different brightness.More preferably
Ground, lighting device 3 is under control of the controller 7, moreover it is possible to carry out multiple spectrum transformation, meet the different spectrum of 5 pairs of tested glass
Sensibility provides a variety of different optical electivities for tested glass 5, and camera 4 then acquires the image under different spectrum.Preferably,
Under control of the controller 7, angle converting mechanism makes the optical path of lighting device and tested glass deposits required angle, or manually
Control, or both combine.The angle converting mechanism can drive for electronic, hydraulic or pneumatic drive mechanism.Lighting device can
It is mounted on the top of tested glass, can also be disposed simultaneously in lower section or upper and lower.
In the present embodiment, lens imaging device includes angle-adjusting mechanism and one or more lens imaging components, lens
The quantity of image-forming assembly needs reasonable disposition according to detection, can be deployed in the top of tested glass, or same in lower section or upper and lower
When dispose, preferred deployment is above.Required for angle-adjusting mechanism deposits the focusing middle line of lens imaging device and tested glass
Angle, the control of manually controllable or controller, or a combination of both.
In a preferred embodiment, as shown in Figure 1, camera 4 is set to the top of tested glass 5, low-transmittance coated reflective mirror 6
It is set to the lower section of tested glass, by the auxiliary of low-transmittance coated reflective mirror 6, the lens imaging device of identical quantity, at
Increase defect information amount again, and using the transparency of glass, camera 4 is other than the real image for observing defect, moreover it is possible to observe scarce
It is trapped in the virtual image formed in mirror devices low-transmittance coated reflective mirror 6, in addition, upper also can be observed glass depending on lens imaging device
The virtual image information that glass internal flaw is formed in its lower surface mirror-reflection, lower view lens imaging device are exactly the opposite.Optionally,
Face mirror can be also disposed on the side of the surrounding of tested glass, so that be conducive to camera regards face acquisition image information entirely.Preferably, thoroughly
Mirror imaging device can dispose 1 set or more sets, mirror devices are disposed in multi-angle, and lens imaging device increases, and sweeps being multiplied
Frequency is retouched, the defect information that is multiplied amount, each defective data is complementary to one another, mutually proves, and makes the signs data of tin defects more
Precisely, precision is higher, to improve the recall rate and discrimination of tin defects.
As shown in Figure 1, opening lighting device 3, camera 4 is opened, controller adjusts the angle of lighting device 3 and camera 4, obtains
Optimal imaging angle is obtained, camera 4 carries out continuous scanning to tested glass 5, obtains the image under different light scenes, obtain simultaneously
In the virtual image that low-transmittance coated reflective mirror 6 is formed.Digital Image Processor 8 divides the glass image data got
Analysis, finds the identical defect image of logical place in image, if what defect real image image and low-transmittance coated reflective mirror were formed
Defect virtual image image is strong reflective spot, then such defect is positioned at the tin defects for setting inside glass；If defect real image image is
Grey or black image, the image that low-transmittance coated reflective mirror 6 is formed are white reflection point, then such defect is to be located at glass
The tin defects of upper surface；If in defect real image image being white reflection point, the image that low-transmittance coated reflective mirror 6 is formed is ash
Color or black image, then such defect is the tin defects positioned at lower glass surface.
Specifically, in the detection process, it since the surface of tin defects is entering annealing kiln from molten tin bath, is sufficiently connect with oxygen
Touching, high-temperature oxydation forms stable oxide layer, such as SnO and SnO2, becomes grey or black from silvery white, and is close to glass
The tin defects of part or inside glass are not oxidized, remain as silvery white.If tin defects are located inside glass, due in glass
The tin defects in portion are not oxidized, and under the bright field illumination mode of lighting device, tin defects will generate mirror-reflection, upper view lens at
As device will directly capture inside glass tin defects top half generation mirror-reflection and bright reflective spot is formed, meanwhile,
The image of internal tin defects lower half portion is reflected in mirror devices, in this way, upper will capture in glass depending on lens imaging device
Portion tin defects lower half portion generates mirror-reflection in mirror devices and forms bright reflective spot, two shadows of comprehensive tin defects
Picture finds that logical place is identical in conjunction with image analysis algorithm, and the defect of upper and lower surface reflective spot, binding deficient tonal gradation is sentenced
Such defect of breaking is inside glass tin defects.If tin defects are located at lower glass surface, due to lower surface tin defects and glass following table
The part that face is in close contact is not oxidized, and under the bright field illumination mode of lighting device, tin defects will generate mirror-reflection, upper view
Lens imaging device will capture lower glass surface tin defects and generate mirror-reflection and form bright reflective spot, tin defects lower half
Partial image is reflected in mirror devices, and upper view lens imaging device also fills lower glass surface defect lower half portion in face mirror
The grey of middle formation or the image of black are set, two images of comprehensive tin defects find logical place in conjunction with image analysis algorithm
Identical, upper surface is the methods of the defect that reflective spot lower surface is grey or black image, binding deficient tonal gradation, judges this
Class defect is lower glass surface tin defects.If tin defects are located at upper surface, upper to observe surface grey or black depending on imaging device
Defect image, but the defect and glass contacting portion are not oxidized, in this way mirror imaging device of the defect below glass
In image will will form mirror-reflection, glass top surface tin defects that lens imaging device captures in mirror devices generate
Two images of mirror-reflection and the bright reflective spot formed, comprehensive tin defects find logical bit in conjunction with image analysis algorithm
Set identical, upper surface grey or black image lower surface are the defect of reflective spot, and the methods of binding deficient tonal gradation judges this
Class defect is lower glass surface tin defects.
In the present embodiment, the tin defects position judging module of Digital Image Processor executes tin defects detection method, passes through
Image data (virtual image information) of the tin defects being directly observed image data (real image information) and through mirror devices auxiliary generation,
Tin defects position is judged, positioned at the upper surface, lower surface or inside of glass.If two class image datas are white reflection point,
Tin defects are located inside glass；If the color in direct-vision image data is grey or black, the image data of mirror devices is white
Color reflective spot, then tin defects are located at glass top surface；If the color in direct-vision image data is white reflection point, mirror devices
Image data is grey or black, then tin defects are located at lower glass surface.
Preferably, Digital Image Processor further includes quality grade compartmentalization module, for carrying out to tin defects analysis result
Statistics obtains credit rating information to carry out quality grading to product；According to relevant criterion, the grade of tin defects is identified.It is preferred that
Ground, Digital Image Processor and in conjunction with related code-spraying equipment identify defect in glass surface, the online robot of follow-up link
Can Direct Recognition identification information, carry out smart-cut, product sorting online, or scrap processing.Alternatively, directly transmitting defect information
Follow-up link robot is given, carries out smart-cut, product sorting online, or scraps processing.
Preferably, Digital Image Processor further includes defective locations analysis module, true for analyzing result according to tin defects
Length, width, area and the three-dimensional relative position information of fixed each defect, and generate the flat distribution map and/or three-dimensional of tin defects
Distribution map.Its by image analysis, calculate pixel shared by tin defects number, length and width, area, shape etc. to calculate defect refer to
Reference breath, can also calculate defect and boundary pixel in image number, calculate the three-dimensional relative position of defect.Data according to this are drawn
The three-dimensional distribution map of tin defects processed calculates defect concentration etc..
Preferably, Digital Image Processor further includes memory module, for receiving and storing all kinds of tin defects analysis results.
Preferably, Digital Image Processor further includes intelligence learning module, for summary and induction tin defects in each grade
Distribution probability, combined standard draw floatation glass production line technique normal probability curve band and abnormal probability in terms of tin defects
Curve belt, and corresponding drift section.Intelligence learning module can be carried out artificial intelligence self-teaching, and summary and induction tin defects exist
The distribution probability of each grade, combined standard, draw floatation glass production line technique in terms of tin defects normal probability curve band and
Abnormal probability curve band, and corresponding drift section.Preferably, with float glass environment, place, season, the time,
The variation of process water equality factor, artificial intelligence real-time learning amendment, floatation glass production line normal probability curve band and exception are general
Rate curve may move integrally, or broaden and narrow.Survey tin defects curve and normal probability curve band and abnormal probability
Curve belt intuitively compares, technique level of the real-time monitoring floatation glass production line in terms of tin defects, thus raw to float glass
It produces and online direction is provided.
Preferably, Digital Image Processor further includes production technology optimization module, comes from glass molten tin bath for real-time reception
Related process parameters, its relation curve model with tin defects is established, to be monitored simultaneously to glass molten tin bath production run
Related guidance is provided, production and processing technology is optimized.
Preferably, Digital Image Processor further includes parameter uploading module, is used for collected tin defects data-pushing
And/or the open related Control System to glass molten tin bath, to establish corresponding model, to provide phase to glass molten tin bath production run
Close guidance.
It needs to illustrate, it can also be ordinary light source that the lighting device 3 in the present embodiment, which can be semiconductor light source,；Spectrum
Range need to be within the sensitive volume of imaging device without limitation；It can also be white light that light source, which may be selected to be monochromatic light,.Originally showing
In example, each light source of lighting device 3 is not open-minded simultaneously, the transformation of spectrum, but is carried out by controller 7 to lighting device 3
Timesharing switching, which is realized, illuminates tested glass 5, and then continuous real time scan, alternating obtain lacking under each light illumination mode to camera 4
Data information is fallen into, certain light illumination mode alternating, spectrum transform are not exhaustive all combinations, are not required to by fixed sequence yet, and
It is to choose several optimal transformation according to testing requirements.In order to control the working sequence of camera 4 and lighting device 3, in the glass of Fig. 1
Controller 7 is provided in glass detection vision identification system.Controller 7 is as external trigger source for controlling lighting device 3, camera
The triggering timing of each in 4.Camera 4 and controller 7 may include any kind of pulse trigger, such as, but not limited to,
Encoder.In detection process, camera 4 and controller 7 sense the displacement of tested glass 5 and control the operation of each light source and camera 4,
So that at least completing wheel detection in an illumination period.
It should be noted that the above-mentioned example of the utility model and is not intended to merely for the sake of purposes of illustration and description
The utility model is limited in disclosed concrete form.Those skilled in the art are fully able to by reading this specification
Envision various forms of modifications and variations.For example, in the glass tin defects vision identification system of the utility model, lens at
It can be more sets as device is not limited to a set of, multi-angle deployment, lens imaging device increases, by the scan frequency that is multiplied, at
Increase defect information amount again, each defective data is complementary to one another, mutually proves, it will keep the signs data of tin defects more accurate,
Precision is higher, to improve the recall rate and discrimination of tin defects.
The above descriptions are merely preferred embodiments of the present invention, is not intended to limit the utility model, for this
For the technical staff in field, various modifications and changes may be made to the present invention.It is all in the spirit and principles of the utility model
Within, any modification, equivalent replacement, improvement and so on should be included within the scope of protection of this utility model.
Claims (9)
1. a kind of glass tin defects vision identification system characterized by comprising
At least a set of lens imaging device, for carrying out image scanning to the glass；
Lighting device, for providing illumination for the imaging of the glass；
At least a set of mirror devices are set to upper surface side and/or the lower face side of the glass, for assist the lens at
As device obtains the glass in the corresponding virtual image information of setting position；
Transmission device is used for so that generating relative movement between the glass and the lens imaging device；
Controller communicates to connect the lighting device and the lens imaging device, for control the lighting device according to point
When switching carry out the conversion of light illumination mode and control the lens imaging device carrying out continuous scanning to the glass to obtain pair
Answer real image image and the virtual images under light illumination mode；
Digital Image Processor communicates to connect the controller and the lens imaging device, for generating control instruction to institute
It states controller and receives real image image and virtual images that the lens imaging device generates, whether there is with the determination glass
The type of tin defects and/or tin defects.
2. glass tin defects vision identification system according to claim 1, which is characterized in that
The lighting device includes the combined light source of multiple light sources, and the combined light source is under the control of the controller by each
Various combination timesharing switching illumination between light source provides the light illumination mode of a variety of different brightness of illumination.
3. glass tin defects vision identification system according to claim 2, which is characterized in that
The multiple light sources of the lighting device are combined into array shape or disc shape.
4. glass tin defects vision identification system according to claim 2, which is characterized in that
The lighting device is under the control of the controller through the corresponding spectrum transform of each light source to increase cutting for light illumination mode
It changes.
5. according to any glass tin defects vision identification system of claim 2 to 4, which is characterized in that
The lighting device is equipped with the angle converting mechanism for adjusting its angle between the glass, the angle converting mechanism
The controller is communicated to connect, to adjust the angle between the lighting device and the glass under the control of the controller.
6. glass tin defects vision identification system according to claim 1, which is characterized in that
The lens imaging device includes angle-adjusting mechanism and one or more lens imaging component, one or more
A lens imaging component adjusts imaging posture through the angle-adjusting mechanism.
7. glass tin defects vision identification system according to claim 6, which is characterized in that
The lens imaging device using CCD linear array imaging component, the face CCD battle array image-forming assembly, CMOS linear array imaging component or
The face CMOS battle array image-forming assembly.
8. glass tin defects vision identification system according to claim 1, which is characterized in that
The lens imaging device includes the upper view lens imaging device being set to above the glass, and the mirror devices include
It is set to the first face mirror of the lower glass surface and/or the three mirror contact lens of peripheral side；Or
The lens imaging device includes the lower view lens imaging device being set to below the glass, and the mirror devices include
It is set to the second face mirror of the glass top surface and/or the three mirror contact lens of peripheral side.
9. glass tin defects vision identification system according to claim 1, which is characterized in that
On Digital Image Processor communication connection production line for the glass is carried out stamp mark stamp equipment and/
Or the Digital Image Processor communication connection for carrying out smart-cut, product sorting or the industrial machine for scrapping processing online
Device people.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820663787.3U CN208568616U (en) | 2018-05-04 | 2018-05-04 | Glass tin defects vision identification system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820663787.3U CN208568616U (en) | 2018-05-04 | 2018-05-04 | Glass tin defects vision identification system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN208568616U true CN208568616U (en) | 2019-03-01 |
Family
ID=65480996
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201820663787.3U Active CN208568616U (en) | 2018-05-04 | 2018-05-04 | Glass tin defects vision identification system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN208568616U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108956613A (en) * | 2018-05-04 | 2018-12-07 | 湖南科创信息技术股份有限公司 | Glass tin defects vision identification system |
| CN111006608A (en) * | 2019-12-17 | 2020-04-14 | 湖南科创信息技术股份有限公司 | Transparent plate through hole visual detection system and method |
-
2018
- 2018-05-04 CN CN201820663787.3U patent/CN208568616U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108956613A (en) * | 2018-05-04 | 2018-12-07 | 湖南科创信息技术股份有限公司 | Glass tin defects vision identification system |
| CN111006608A (en) * | 2019-12-17 | 2020-04-14 | 湖南科创信息技术股份有限公司 | Transparent plate through hole visual detection system and method |
| CN111006608B (en) * | 2019-12-17 | 2021-04-27 | 湖南科创信息技术股份有限公司 | Transparent plate through hole visual detection system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111006608B (en) | Transparent plate through hole visual detection system and method | |
| CN108956613A (en) | Glass tin defects vision identification system | |
| CN106226157B (en) | Concrete structure member crevices automatic detection device and method | |
| CN108956645A (en) | A kind of the optical mirror slip defect detecting device and method of more vision systems | |
| CN107957425A (en) | Transparent material defect detecting system and method | |
| US6084663A (en) | Method and an apparatus for inspection of a printed circuit board assembly | |
| EP0686842A2 (en) | Lens inspection system and method | |
| CN106210520B (en) | A kind of automatic focusing electronic eyepiece and system | |
| CN110218824B (en) | Blast furnace slag centrifugal granulation particle size detection system and method based on image recognition | |
| TWI783420B (en) | Method of capturing and analyzing spectrometer data on multiple sample gemstones and system for recording spectrometer readings of multiple gemstone samples | |
| CN208568616U (en) | Glass tin defects vision identification system | |
| JP2015143656A (en) | Inspection apparatus and inspection method | |
| CN109089013A (en) | A kind of multiple light courcess detection image acquisition methods and Machine Vision Inspecting System | |
| CN102455171A (en) | Method for detecting geometric shape of back of tailor-welding weld and implementing device thereof | |
| CN110044921A (en) | Lithium battery open defect detection system and method | |
| CN108872246A (en) | Face sheet material regards planar defect detection system entirely | |
| KR101679205B1 (en) | Device for detecting defect of device | |
| CN208459716U (en) | A kind of liquid crystal display detection device | |
| CN111307812A (en) | Welding spot appearance detection method based on machine vision | |
| CN104657702B (en) | Eyeball arrangement for detecting, pupil method for detecting and iris discrimination method | |
| CN208520771U (en) | Face sheet material regards planar defect detection system entirely | |
| CN207866734U (en) | Matrix form vision detection system for transparent material defects detection | |
| CN105928952B (en) | AOI control system and its control method | |
| CN106767497B (en) | A kind of white light interference contourgraph spacescan range Adaptive Planning method | |
| EP0871027A2 (en) | Inspection of print circuit board assembly |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |