CN109813224A - A kind of industrial camera system and the method using image recognition technology detection sieve - Google Patents
A kind of industrial camera system and the method using image recognition technology detection sieve Download PDFInfo
- Publication number
- CN109813224A CN109813224A CN201910208277.6A CN201910208277A CN109813224A CN 109813224 A CN109813224 A CN 109813224A CN 201910208277 A CN201910208277 A CN 201910208277A CN 109813224 A CN109813224 A CN 109813224A
- Authority
- CN
- China
- Prior art keywords
- detection
- bail
- sieve
- image
- camera
- 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
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 62
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000005516 engineering process Methods 0.000 title claims abstract description 12
- 238000012545 processing Methods 0.000 claims description 29
- 238000004458 analytical method Methods 0.000 claims description 28
- 239000003381 stabilizer Substances 0.000 claims description 12
- 238000009826 distribution Methods 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 4
- 239000012491 analyte Substances 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000009472 formulation Methods 0.000 claims description 3
- 239000000203 mixture Substances 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 5
- 238000005259 measurement Methods 0.000 abstract description 5
- 238000003908 quality control method Methods 0.000 abstract description 3
- 238000009434 installation Methods 0.000 abstract description 2
- 238000012216 screening Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000036244 malformation Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
Landscapes
- Image Analysis (AREA)
Abstract
The present invention relates to sieve technical field of quality detection, more specifically, it is related to a kind of industrial camera system and the method using image recognition technology detection sieve, the acquisition to production information and the detection to substandard product are realized by industrial camera system, and the system structure is compact, integrated level is high, performance is stable, can apply to different assembly lines；Sieve real-time image information is obtained by industrial camera, using parser software as core, it is mounted in cloud server by calculating process and as the result is shown, detection and Quality Control less expensive, more efficient, more accurately can be carried out to screening installation, and it can accomplish the features such as instant, removable, comprehensive trace, algorithm iteration speed is fast, measurement accuracy is high.
Description
Technical field
The present invention relates to sieve technical field of quality detection, more specifically, are related to a kind of industrial camera system and utilization
The method of image recognition technology detection sieve.
Background technique
When maintenance and detection in the production of many equipment and factory testing and equipment use process, can all it use
Largely manually carry out some such as spacing, the measurement of the data such as size.Not only precision is poor for such manual measurement, low efficiency
Under, while using and producing for equipment is influenced, it can not accomplish to timely feedback.Such as in the common basket sieve plate of mineral products industry, product
Artificial detection screen slot size is carried out when only dispatching from the factory to determine product quality.Discovery can not be detected in time in process of production to ask
Topic, more since artificial detection takes time and effort, can only carry out the sampling check of product.
Summary of the invention
One of the objects of the present invention is to provide a kind of industrial camera system, it is unstable etc. to solve existing industrial camera shooting
Problem.
The second object of the present invention is to provide a kind of utilization image recognition technology detection sieve using the industrial camera
Method, solve poor existing sieve detection measurement accuracy, inefficiency, influence production, can not immediate feedback the problems such as.
An object of the present invention adopts the following technical scheme that realization:
A kind of industrial camera system, including Jiong type frame, camera, image pick-up card, central processing unit, control panel and detection machine
Device arm, the Jiong type frame are erected by two stabilizer blades in finished product assembly line two sides, and the stabilizer blade is fixedly connected with the ground, described
Camera is provided in the middle part of Jiong type cruciform bracing, the camera is manual adjustment focusing, and the camera is located at right above assembly line, institute
State Jiong type lower portion and be provided with image pick-up card and central processing unit, the camera, image pick-up card and central processing unit according to
Secondary electric connection；It is provided with control panel on described one stabilizer blade of Jiong type frame, detection robotic arm is provided on another stabilizer blade,
The control panel, detection robotic arm are electrically connected with the central processing unit respectively；The control panel is for being arranged setting system
Setup parameter is transmitted in central processing unit by the display of operating parameter and testing result, the control panel, central processing unit
Pass through the operation of Image Acquisition card control camera according to setup parameter control, central processing unit controls detection machine according to setup parameter
The operation of device arm, the camera are used to shoot the product in assembly line immediately below camera, be transmitted to by image pick-up card
It carries out pre-processing simultaneously analysis detection in central processing unit, is shown on control panel when by analysis detection fructufy, examined through analysis
It surveys underproof product and assembly line is detected by detection robotic arm；Original image information is saved in image detection analytic process,
And exported with sheet format, quality analysis map of product is drawn through analysis detecting data, after a certain time, by list and product matter
Amount analysis chart is transmitted to formulation server.
Further, telescoping mechanism is provided between the Jiong type frame and camera, the telescoping mechanism includes internal screw thread
Pipe and adjusting rod, the riffled tube inside is hollow structure and inner surface offers screw thread, the adjusting rod outer surface setting
There is screw thread, the riffled tube is connected through a screw thread with adjusting rod, the riffled tube top and the fixed company of Jiong type cruciform bracing
It connects, the adjusting rod bottom is fixedly connected with camera.
Further, the Jiong type cruciform bracing two sides are provided with headlamp.
Further, there are two fixed link, the fixed link is symmetricly set on adjusting rod two for the adjusting rod lower end setting
Side, the fixed link upper end are fixedly installed the first bail, and first bail is connected with the second bail, and described first
Bail, the second bail are semi-annular shape, and the first bail and second bail one end are articulated and connected, and the other end passes through spiral shell
Bolt is fixedly connected, and first bail and the second bail constitute circular space and be sheathed on riffled tube, first folder
Lock ring and the second bail are tightly fixed on riffled tube by bolt clip.
Further, first bail and the second bail are bolted one end and are provided with spring.
Further, the spring nature length is greater than length of the bolt between the first bail and the second bail
When spending, and bolt being unscrewed, the first bail and the second bail are kept away from state using the elastic force of spring, convenient for fixing
The relative motion of bar and riffled tube is to realize length adjustment；It is needed admittedly when relative motion does not occur for fixed link and riffled tube
Periodically, bolt is tightened, the first bail and the second bail clamp riffled tube, to realize consolidating for fixed link and riffled tube
It is fixed.
The second object of the present invention adopts the following technical scheme that realization:
A method of sieve is detected using image recognition technology, comprising the following steps:
S1, the image information that sample is obtained using the photographing device of profession, are transmitted to computer by image pick-up card and carried out in advance
Processing；
S2, the analysis and detection that index is carried out according to the pretreatment image of acquisition, obtain sieve gap information；
S3, product quality distribution map is produced by analysis detection index；
S4, original image information is saved, and is exported with sheet format, client can obtain complete image inspection by form data
It surveys as a result, facilitating the personalized analysis of statistical data of progress and Secondary Development Work.
Photographing device is industrial camera in the S1.
The S1 image preprocessing be image is successively carried out smothing filtering, Contrast enhanced, Threshold segmentation, limb recognition,
Line segment fitting, malformation correction, dynamic extension, sliding window, clustering, physical distance correction.
Specific analytical method includes abnormal nip point detection, sieve gap statistical distribution, sieve X-direction gap in the S2
Consistency, sieve Y-direction gap consistency are realized and carry out more detailed Quality Control to sieve gap size.
Analyte detection process and cloud server is being mounted in as the result is shown in the S2.
Compared with prior art, the advantageous effect of present invention is that:
The present invention provides a kind of industrial camera system and the method using image recognition technology detection sieve, passes through industrial camera system
System realizes the acquisition to production information and the detection to substandard product, the system structure is compact, integrated level is high, performance is stable,
It can apply to different assembly lines, can be used directly, without programming；The sieve realtime graphic obtained by industrial camera system
Information is mounted in cloud server using parser software as core by calculating process and as the result is shown, can be less expensive, more
Efficiently, detection and Quality Control more accurately are carried out to screening installation, and can accomplishes the features such as instant, removable, comprehensive trace, algorithm
Iteration speed is fast, measurement accuracy is high.
Detailed description of the invention
Fig. 1 is a kind of industrial camera overall system architecture schematic diagram provided by the invention；
Fig. 2 is a kind of industrial camera system main view provided by the invention；
Fig. 3 is a kind of industrial camera System Working Principle figure provided by the invention；
Fig. 4 is industrial camera system stretching structure schematic diagram；
Fig. 5 is the first bail and the second bail schematic diagram；
Fig. 6 is sieve image recognition pretreatment image.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1-3, a kind of industrial camera system, including Jiong type frame 1, camera 2, image pick-up card 3, central processing
Device 4, control panel 5 and detection robotic arm 6, the Jiong type frame 1 is erected by two stabilizer blades in finished product assembly line two sides, described
Stabilizer blade is fixedly connected with the ground, and camera 2 is provided in the middle part of 1 crossbeam of Jiong type frame, and the camera 2 is manual adjustment focusing,
The camera 2 is located at right above assembly line, and the Jiong type frame 1 is internally provided with image pick-up card 3 and central processing unit 4, institute
Camera 2, image pick-up card 3 and central processing unit 4 is stated successively to be electrically connected；Control is provided on described 1 one stabilizer blades of Jiong type frame
Panel 5 processed, is provided with detection robotic arm 6 on another stabilizer blade, the control panel 5, detection robotic arm 6 respectively with central processing
Device 4 is electrically connected；The control panel 5 is used to be arranged the display of setting system operational parameters and testing result, the control plane
Setup parameter is transmitted in central processing unit 4 by plate 5, and central processing unit 4 is controlled according to setup parameter control by image pick-up card 3
The operation of camera 2 processed, central processing unit 4 control the operation of detection robotic arm 6 according to setup parameter, and the camera 2 is for shooting
Product in assembly line immediately below camera 2, is transmitted in central processing unit 4 by image pick-up card 3 and is pre-processed simultaneously
Analysis detection is shown on control panel 5 when by analysis detection fructufy, passes through detection machine through the underproof product of analysis detection
Device arm 6 detects assembly line；Original image information is saved in image detection analytic process, and is exported with sheet format, through analyzing
Detection data draws quality analysis map of product, and after a certain time, list and quality analysis map of product are transmitted to formulation
Server.
As shown in Fig. 2, the erection of Jiong type frame 1 is fixed on assembly line two sides first, is passed through when industrial camera system works
Control panel 5 sets delay time S1 for shooting photo, camera 2 is placed in appropriate location by telescoping mechanism, in assembly line
Sieve, manual adjustment focal length to sieve are placed immediately below camera 2, so that camera can clearly shoot sieve each section, lock focal length,
The switch of headlamp 10 is set as desired by control panel 5,10 light direct projection sieve of adjusting illuminating lamp removes sieve；It is logical
It crosses control panel setting delay time S2 and detects unqualified sieve for detecting robotic arm 6；Assembly line output of products, workpiece positioning
Detector 7 detects object, and secondary object is defined as sieve A1, and A1 is entered system information and is sent in central processing unit 4, center
Processor 4 receives information and photographing information is transmitted to image pick-up card 3, and image pick-up card is passed through by the program being previously set
Delay time S1 initiates pulse to camera 2, and camera 2 shoots current photo, and A1 is in immediately below camera 2 at this time, and camera 2 is shot
Photo real-time Transmission to image pick-up card 3, image pick-up card 3 by Image Real-time Transmission into central processing unit 4 to image into
Row handles and detects whether qualification, and detection information is transmitted to detection robotic arm 6, machine by delay time S2 if unqualified
A1 is grabbed and is removed assembly line by arm 6, and A1 is located at immediately below 6 handgrip of robotic arm at this time；If qualified, robotic arm 6 is without operation.
On assembly line: (spacing distance+mesh widths between adjacent screen mesh) ÷ assembly line runs linear velocity >=delay time S1.
As shown in figure 3, the 1 crossbeam two sides of Jiong type frame are provided with headlamp 10, the headlamp direction is adjustable.
As illustrated in figures 4-5, telescoping mechanism is provided between the Jiong type frame 1 and camera 2, the telescoping mechanism includes interior
Screwed pipe 7 and adjusting rod 8, for hollow structure and inner surface offers screw thread inside the riffled tube 7, outside the adjusting rod 8
Surface is provided with screw thread, and the riffled tube is connected through a screw thread with adjusting rod 8,7 top of riffled tube and Jiong type frame 1
Crossbeam is fixedly connected, and 8 bottom of adjusting rod is fixedly connected with camera 2.There are two fixed links for 8 lower end of the adjusting rod setting
81, the fixed link 81 is symmetricly set on 8 two sides of adjusting rod, and 81 upper end of fixed link is fixedly installed the first bail 82,
First bail 82 is connected with the second bail 83, and first bail 82, the second bail 83 are semi-annular shape,
First bail 82 and 83 one end of the second bail are articulated and connected, and the other end is bolted to connection, first bail
82 and second bail 83 constitute circular space be sheathed on riffled tube 7, first bail 82 and the second bail 83
It is tightly fixed on riffled tube 7 by bolt clip.One end is bolted in first bail 82 and the second bail 83
It is provided with spring.
A method of sieve is detected using image recognition technology, comprising the following steps:
S1, the image information that sample is obtained using industrial camera, are transmitted to computer parser software by image pick-up card
Successively carry out smothing filtering, Contrast enhanced, Threshold segmentation, limb recognition, line segment fitting, malformation correction, dynamic extension, sliding window
The pretreatment that mouth, clustering, physical distance correct is realized the processing of image, is schemed after processing using conventional images processing unit
As shown in Figure 6；
S2, the analysis and detection that index is carried out according to the pretreatment image of acquisition, including the detection of abnormal nip point, sieve gap system
Score cloth, sieve X-direction gap consistency, sieve Y-direction gap consistency, obtain sieve gap information, analyte detection process
Be mounted in cloud server as the result is shown；Image recognition result can be observed by abnormal nip point and screen slot statistical distribution
Whether in the reasonable scope.It can analyze whether camera has space distortion by the screen slot consistency of analysis X, Y-direction；
S3, product quality distribution map is produced by analysis detection index；
S4, original image information is saved, and is exported with sheet format, client can obtain complete image inspection by form data
It surveys as a result, facilitating the personalized analysis of statistical data of progress and Secondary Development Work.
Only presently preferred embodiments of the present invention is explained in detail above, but the present invention is not limited to above-described embodiment,
Within the knowledge of a person skilled in the art, it can also make without departing from the purpose of the present invention each
Kind variation, various change should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of industrial camera system, it is characterised in that: including Jiong type frame (1), camera (2), image pick-up card (3), center
Processor (4), control panel (5) and detection robotic arm (6), the Jiong type frame (1) are erected by two stabilizer blades in product stream
Waterline two sides, the stabilizer blade are fixedly connected with the ground, and are provided with camera (2), the camera in the middle part of Jiong type frame (1) crossbeam
(2) it focuses for manual adjustment, the camera (2) is located at right above assembly line, and the Jiong type frame (1) is internally provided with image and adopts
Truck (3) and central processing unit (4), the camera (2), image pick-up card (3) and central processing unit (4) are successively electrically connected；
It is provided with control panel (5) on (1) stabilizer blade of the Jiong type frame, detection robotic arm (6), institute is provided on another stabilizer blade
State control panel (5), detection robotic arm (6) is electrically connected with central processing unit (4) respectively；The control panel (5) is for setting
The display for determining system operational parameters and testing result is installed, setup parameter is transmitted to central processing unit by the control panel (5)
(4) in, operation of the central processing unit (4) according to setup parameter control by image pick-up card (3) control camera (2), centre
The operation that device (4) control detection robotic arm (6) according to setup parameter is managed, the camera (2) is for shooting in assembly line in phase
Product immediately below machine (2) is transmitted in central processing unit (4) by image pick-up card (3) and pre-process simultaneously analysis detection,
It is shown in when by analysis detection fructufy on control panel (5), passes through detection robotic arm (6) through the underproof product of analysis detection
Detect assembly line；Original image information is saved in image detection analytic process, and is exported with sheet format, through analysis detection number
According to quality analysis map of product is drawn, after a certain time, list and quality analysis map of product are transmitted to formulation server.
2. a kind of industrial camera system according to claim 1, it is characterised in that: the Jiong type frame (1) and camera (2)
Between be provided with telescoping mechanism, the telescoping mechanism includes riffled tube (7) and adjusting rod (8), and the riffled tube (7) is internal
For hollow structure and inner surface offers screw thread, and adjusting rod (8) outer surface is provided with screw thread, the riffled tube and adjusting
Bar (8) is connected through a screw thread, and riffled tube (7) top is fixedly connected with Jiong type frame (1) crossbeam, the adjusting rod (8)
Bottom is fixedly connected with camera (2).
3. a kind of industrial camera system according to claim 1, it is characterised in that: Jiong type frame (1) the crossbeam two sides
Face is provided with headlamp (10), and headlamp (10) direction is adjustable.
4. a kind of industrial camera system according to claim 1, it is characterised in that: adjusting rod (8) lower end is provided with
Two fixed links (81), the fixed link (81) are symmetricly set on adjusting rod (8) two sides, and fixed link (81) the upper end fixation is set
It being equipped with the first bail (82), first bail (82) is connected with the second bail (83), first bail (82),
Second bail (83) is semi-annular shape, and the first bail (82) and the second bail (83) one end are articulated and connected, the other end
It is bolted to connection, first bail (82) and the second bail (83) constitute circular space and are sheathed on riffled tube
(7) on, first bail (82) and the second bail (83) are tightly fixed on riffled tube (7) by bolt clip.
5. a kind of industrial camera system according to claim 4, it is characterised in that: first bail (82) and second
Bail (83) is bolted one end and is provided with spring.
6. a kind of industrial camera system according to claim 5, it is characterised in that: the spring nature length is greater than
Length of the bolt between the first bail (82) and the second bail (83).
7. a kind of method using image recognition technology detection sieve, which comprises the following steps:
S1, the image information that sample is obtained using the photographing device of profession, are transmitted to computer by image pick-up card and carried out in advance
Processing；
S2, the analysis and detection that index is carried out according to the pretreatment image of acquisition, obtain sieve gap information；
S3, product quality distribution map is produced by analysis detection index；
S4, original image information is saved, and is exported with sheet format.
8. a kind of method using image recognition technology detection sieve according to claim 1, it is characterised in that: the S1
Image preprocessing is that image is successively carried out to smothing filtering, Contrast enhanced, Threshold segmentation, limb recognition, line segment to be fitted, is lopsided strong
Just, dynamic extension, sliding window, clustering, physical distance correction.
9. a kind of method using image recognition technology detection sieve according to claim 1, it is characterised in that: the S2
Middle specific analytical method includes abnormal nip point detection, sieve gap statistical distribution, sieve X-direction gap consistency, the sieve side Y
To gap consistency.
10. a kind of method using image recognition technology detection sieve according to claim 1, it is characterised in that: described
Analyte detection process and cloud server is being mounted in as the result is shown in S2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910208277.6A CN109813224A (en) | 2019-03-19 | 2019-03-19 | A kind of industrial camera system and the method using image recognition technology detection sieve |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910208277.6A CN109813224A (en) | 2019-03-19 | 2019-03-19 | A kind of industrial camera system and the method using image recognition technology detection sieve |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109813224A true CN109813224A (en) | 2019-05-28 |
Family
ID=66609535
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910208277.6A Pending CN109813224A (en) | 2019-03-19 | 2019-03-19 | A kind of industrial camera system and the method using image recognition technology detection sieve |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109813224A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114405819A (en) * | 2022-01-14 | 2022-04-29 | 重庆安都陶瓷有限公司 | Anti-blocking ceramic clay feeding system and method for ceramic production |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103323457A (en) * | 2013-05-20 | 2013-09-25 | 中国农业大学 | Fruit appearance defect real-time on-line detection system and detection method |
| CN204479490U (en) * | 2015-04-15 | 2015-07-15 | 夏朝 | A kind of laser marking On-line Product testing and analysis system |
| CN107727540A (en) * | 2017-10-27 | 2018-02-23 | 华侨大学 | A kind of Machine-made Sand on-line measuring device and online test method |
| KR101894571B1 (en) * | 2018-03-08 | 2018-09-04 | 동아항업주식회사 | Image processing apparatus having a function of correcting distorted images after photographing |
| CN209945257U (en) * | 2019-03-19 | 2020-01-14 | 山西中格矿山机械有限公司 | Industrial camera system |
-
2019
- 2019-03-19 CN CN201910208277.6A patent/CN109813224A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103323457A (en) * | 2013-05-20 | 2013-09-25 | 中国农业大学 | Fruit appearance defect real-time on-line detection system and detection method |
| CN204479490U (en) * | 2015-04-15 | 2015-07-15 | 夏朝 | A kind of laser marking On-line Product testing and analysis system |
| CN107727540A (en) * | 2017-10-27 | 2018-02-23 | 华侨大学 | A kind of Machine-made Sand on-line measuring device and online test method |
| KR101894571B1 (en) * | 2018-03-08 | 2018-09-04 | 동아항업주식회사 | Image processing apparatus having a function of correcting distorted images after photographing |
| CN209945257U (en) * | 2019-03-19 | 2020-01-14 | 山西中格矿山机械有限公司 | Industrial camera system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114405819A (en) * | 2022-01-14 | 2022-04-29 | 重庆安都陶瓷有限公司 | Anti-blocking ceramic clay feeding system and method for ceramic production |
| CN114405819B (en) * | 2022-01-14 | 2024-02-02 | 重庆安都陶瓷有限公司 | Ceramic mud anti-blocking feeding system for ceramic production |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109550712B (en) | Chemical fiber filament tail fiber appearance defect detection system and method | |
| CN108760747A (en) | A kind of 3D printing model surface defect visible detection method | |
| CN110052420B (en) | Laser coding, detecting and sorting all-in-one machine and laser coding, detecting and sorting method | |
| CN2828808Y (en) | Glass bottle body photographic tester | |
| CN103785622B (en) | Based on the part method for sorting of the part sorting equipment of machine vision | |
| CN106885534B (en) | Increasing material manufacturing coaxial powder-feeding nozzle test device and method | |
| CN1624460A (en) | On-line datecting device for printed matter quality | |
| CN102980892B (en) | On-line examination system and method for steel pipe | |
| CN207248724U (en) | A kind of visual detection equipment | |
| CN104677782A (en) | Machine vision online detection system and method for electric connector shell | |
| CN112230345A (en) | Optical fiber auto-coupling alignment apparatus and method | |
| CN111157537A (en) | Strip steel defect detection device and system based on bionic machine vision | |
| CN105227802A (en) | A kind of self-adaptation control method towards best quality image rapid scanning and system | |
| CN106979952A (en) | A kind of algae detection and Statistics of Density devices and methods therefor based on machine vision technique | |
| CN105405115A (en) | Image module group alignment system and method thereof | |
| CN109813224A (en) | A kind of industrial camera system and the method using image recognition technology detection sieve | |
| CN101334367A (en) | Dyeing and printing products on-line quality monitoring method based on computer pattern recognition principle | |
| CN209945257U (en) | Industrial camera system | |
| CN109596633A (en) | Light guide plate defect detection equipment and detection method | |
| CN108759676A (en) | Based on tessellated transmission case end face large scale geometric tolerance detection device and method | |
| CN109470698B (en) | Cross-scale inclusion rapid analysis instrument and method based on photomicrography matrix | |
| CN108871238B (en) | Method and device for measuring straightness of zirconium tube for nuclear power | |
| CN207964677U (en) | The full-scale warpage flatness detecting device of glass | |
| CN110579490B (en) | Sheet appearance defect detection device and method | |
| CN109307678A (en) | A kind of taper spinning part ridging defect on-line measuring device and method |
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 |