CN108459030A - One kind being applied to non-planar plastic smooth surface flaw on-line measuring device and method - Google Patents
One kind being applied to non-planar plastic smooth surface flaw on-line measuring device and method Download PDFInfo
- Publication number
- CN108459030A CN108459030A CN201810127630.3A CN201810127630A CN108459030A CN 108459030 A CN108459030 A CN 108459030A CN 201810127630 A CN201810127630 A CN 201810127630A CN 108459030 A CN108459030 A CN 108459030A
- Authority
- CN
- China
- Prior art keywords
- detection
- imaging
- automatically controlled
- smooth surface
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/956—Inspecting patterns on the surface of objects
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan 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
- G01N2021/8887—Scan 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 present invention relates to one kind being applied to non-planar plastic smooth surface flaw on-line measuring device, including computer system, imaging system and moveable automatically controlled equipped system, the automatically controlled equipped system is for placing detection object, and the flaw blur-free imaging on the surface of detection object according to angular turn, can be enable;The imaging system is used to obtain the picture of detection object;For controlling imaging system and automatically controlled equipped system, the picture also obtained to imaging system is detected the computer system.The invention further relates to one kind being applied to non-planar plastic smooth surface flaw online test method.The present invention has the characteristics that easy to detect, quick and stability is good, helps to realize and carries out on-line checking and quality evaluation to non-planar plastic smooth surface defect.
Description
Technical field
The present invention relates to automobile plastic inside gadget surface blemish detection technique fields, are applied to more particularly to one kind non-flat
Dough model material smooth surface flaw on-line measuring device and method.
Background technology
With the rapid development of social progress and Chinese national economy, China Automobile Industry has obtained quick progress.
Simultaneously with the development of plastics industry, plastic products become increasingly popular and are widely used in automobile industry.As the important accessory of automobile
One of automobile plastic inside gadget, due to certain intensity and toughness, and processing can be repeated several times, oil resistant resistant, valence
Lattice are cheap, its advantage is that other ornament materials are incomparable.It improves the commodity value and the market competitiveness of automobile, in vehicle
Type is competed and is played an important role in exploiting market, thus improve automotive upholstery apparent mass to promoted vehicle product quality and
Competitiveness has great significance.In order to meet people's driving comfort requirement, the shape of automotive upholstery is mostly curved surface, concave-convex
Shape is played, these products not only have dimensional accuracy and physical mechanical property requirement, but also also very high to its appearance requirement, therefore
In manufacturing process, it is not allow for lacking that material, weld mark, impurity, spot, current mark, gas flower, bubble, top is white, be broken, puncture deforms, is bright
Spot blackening, is burnt, the mass defects such as greasy dirt, discoloration, dermatoglyph are pulled, cold burden, wire drawing, scuffing.Due to detecting the on-plane surface of object
The features such as property and the high reflection on surface, traditional Machine Vision Inspecting System is difficult to be competent at its requirement, so currently, automobile plastic
Inside gadget surface blemish detects the method for still relying primarily on artificial detection, and detection efficiency is low, and accuracy is poor, is often difficult to full
The actual requirement of sufficient modern industrial production.
Invention content
Technical problem to be solved by the invention is to provide one kind to examine online applied to non-planar plastic smooth surface flaw
Apparatus and method are surveyed, can realize that on-line intelligenceization detects automatically.
The technical solution adopted by the present invention to solve the technical problems is:It provides a kind of applied to the smooth table of non-planar plastic
Face flaw on-line measuring device, including computer system, imaging system and moveable automatically controlled equipped system, the automatically controlled carrying
System according to angular turn, can enable the flaw blur-free imaging on the surface of detection object for placing detection object;It is described
Imaging system is used to obtain the picture of detection object;The computer system is used to carry out imaging system and automatically controlled equipped system
Control, the picture also obtained to imaging system are detected.
The automatically controlled equipped system includes controller, motor, spring-damper and sucker, the input terminal of the controller with
Computer system is connected, and output end is connected to the motor, connecting spring damper on the output shaft of the motor, on spring-damper
Even sucker, the sucker connection extract system and spring-damper form extraction system at end, and extraction system is made by motor control
Obtaining sucker can be rotated by certain angle.
The automatically controlled equipped system is mounted on guide rail, and the automatically controlled equipped system can under the control of a computer system
Along lead rail axis to it is forward and backward move in imaging system enable imaging system obtain detection object picture.
The imaging system includes detecting light source, camera lens, the first imaging sensor, the second imaging sensor and light shield, institute
It is the rectangular housing that all round closure bottom opens to state light shield, and upper end both sides are equipped with the light source of detecting of bar shaped, top center installation
There are the first imaging sensor, the medial surface of the smooth shield that second imaging sensor at 45 degree of inclination angles is installed;Described first image
It is mounted on camera lens on sensor and the second imaging sensor.
The smooth shield lower end is equipped with correlation infrared sensor, and the correlation infrared sensor is moveable for perceiving
Whether automatically controlled equipped system reaches detection station, and the detection signal of the correlation infrared sensor is connected with computer system.
The technical solution adopted by the present invention to solve the technical problems is:It also provides a kind of smooth applied to non-planar plastic
Surface blemish online test method is applied to non-planar plastic smooth surface flaw on-line measuring device, detection using above-mentioned
Process includes the following steps:
(1) activation system is focused and is demarcated to imaging system using included standard form;
(2) moveable automatically controlled equipped system draws detection by computer controlled motion to load station, and from injection molding machine
Object;
(3) the moveable automatically controlled equipped system of computer control is run to detection station, once infrared shooting device detects
Enter detection station to platform, detecting system enters working condition;
(4) according to detection object length and visual field size, by guide rail and motor jointly control detection object into
Row contiguous segmentation, various visual angles image checking;
(5) to each detection section, detection method is as follows:The rotatable extraction system of electric control system controls, according to part
Surface curvature subangle is detected step by step, and two imaging sensors carry out imaging and image storage respectively in each step, then
The multiple image for the same detection section that computer system obtains each imaging sensor, first progress image filtering processing, and according to
It is detected the type of plastic decorating part, sets detection zone;Then dynamic threshold segmentation is carried out to detection zone, using pattern-recognition side
Method detects the surface blemish of each frame image, and is reference image frame based on the picture frame that angular displacement is 0, by other frame images
Flaw be respectively mapped to reference picture;
(6) testing result for combining two imaging sensors, to all flaws detected by each continuous segment reference image frame
Defect is counted and is identified, and testing result is passed to computer system, so that subsequent execution mechanism can carry out relevant treatment;
(7) after detecting, moveable automatically controlled equipped system moves along the rail unloading station, and according to testing result
Determine its operation;If indefectible, detection object is imported into qualified conveyer belt, conversely, detection object is imported waste product transmission belt;
(8) judge whether to continue to detect, if so, moveable automatically controlled equipped system returns to load station along guide rail,
It enters step (2);Otherwise, detection terminates.
The setting of the fixed angle rotated in the step (5) matches with part curvature, and the fixed angle turned over can
The compensation for completing detection subject surface curvature is always ensured that the pickup area of image is effective coverage.
Advantageous effect
Due to the adoption of the above technical solution, compared with prior art, the present invention having the following advantages that and actively imitating
Fruit:The present invention realizes that detection process is contactless using technologies such as machine vision, the detection of segmentation part, the multiple imagings of rotational positioning
Property, automation and intelligence;Locally detection and the multiple imaging technique of rotational positioning are applied to online for the segmentation especially proposed
Automatic detection, can accurate, the flaw on efficient identification on-plane surface gadget surface, defect, have easy to detect, quickly and stability
The features such as good, helps to realize and carries out in-service monitoring and and quality evaluation to non-planar plastic smooth surface defect.
Description of the drawings
Fig. 1 is that the present invention uses detection system structure;
Fig. 2 is detecting system side schematic view of the present invention;
Fig. 3 is non-planar plastic smooth surface flaw on-line checking flow chart of the present invention.
In figure:Computer 1, display 2, electric machine controller 3, motor 4, spring-damper 5, sucker 6 detect light source 7, mirror
First 8, imaging sensor 9, sliding rail platform 10, imaging sensor 11, light shield 12, gadget 13 to be measured, infrared emission sensor 14, branch
Frame 15.
Specific implementation mode
Present invention will be further explained below with reference to specific examples.It should be understood that these embodiments are merely to illustrate the present invention
Rather than it limits the scope of the invention.In addition, it should also be understood that, after reading the content taught by the present invention, people in the art
Member can make various changes or modifications the present invention, and such equivalent forms equally fall within the application the appended claims and limited
Range.
The first embodiment of the present invention is related to one kind being applied to non-planar plastic smooth surface flaw on-line measuring device,
As depicted in figs. 1 and 2, including computer system, imaging system and moveable automatically controlled equipped system, the computer system packet
Computer 1 and display 2 are included, the imaging system includes detecting light source 7, camera lens 8, imaging sensor 9,11 and of imaging sensor
Light shield 12, the moveable automatically controlled equipped system includes controller 3, motor 4, spring-damper 5 and sucker 6, the display
Device 2 links into an integrated entity with computer 1, and the computer 1 is separately connected 3 infrared sensor of electric machine controller, 14 first image sensing
Device 9 and the second imaging sensor 11, the controller 3 connect motor 4, connecting spring damper on the output shaft of the motor 4
5, spring-damper upper end connects sucker 6;In the smooth shield 12, the upper end both sides are equipped with bar shaped and detect light source 7, top center peace
Equipped with imaging sensor 9, imaging sensor 11 is installed in front with 45 degree of inclination angles.
The light source 7 of detecting is controllable light intensity white bars shape light source.
The electric-control system is mounted on experiment porch, and the experiment porch is installed on holder.
The rectangular housing that the generally all round closure bottom of the smooth shield 12 opens, the both sides inner wall and imaging sensor of upper end
Camera lens between to detect light source 7, the both sides outer edge of lower end is corresponding with automatically controlled loading edge of table, the automatically controlled objective table,
Light shield detects light source and the camera lens of imaging sensor is protected from light closed system by surrounding to be formed.
Second embodiment of the present invention is related to one kind and being applied to non-planar plastic smooth surface flaw online test method,
As shown in figure 3, including the following steps:(1) activation system is focused and is marked to imaging system camera lens using included standard form
It is fixed;(2) moveable automatically controlled equipped system moves along the rail load station by computer control, and draws and detect from injection molding machine
Object;(3) the moveable automatically controlled equipped system of computer control is run to detection station, once infrared shooting device detect it is flat
Platform enters detection station, and detecting system enters working condition;(4) according to detection object length and visual field size, by
Guide rail and motor jointly control detection object and carry out contiguous segmentation, various visual angles image checking;(5) to each detection section, detection
Method is as follows:The rotatable extraction system of electric control system controls, by angular displacement (- 60 degree, -30 degree, -10 degree, 0 degree, 10 degree, 30
Degree, 60 degree) two cameras carry out imaging respectively and image stores, 7 frames of the same detection section that then computer obtains each camera
Image first carries out image filtering processing, and according to the type of detected plastic decorating part, isolates detection zone, and to detection zone
Dynamic threshold segmentation is carried out, the surface blemish of each frame image is detected using mode identification method, and is 0 based on angular displacement
Picture frame is reference image frame, and the flaw of other 6 frame images is respectively mapped to reference picture.(6) inspection of two video cameras is combined
Reference image frame progress flaw statistics and mark as a result, to each continuous segment are surveyed, and testing result is sent out to computer, so that after
Continuous executing agency can carry out relevant treatment;(7) moveable automatically controlled equipped system moves along the rail unloading station, according to detection
As a result its operation is determined;If indefectible, the plastic sheet of detection is imported into qualified conveyer belt, conversely, it is useless to detect object importing
Product transmission belt;(8) whether continue to detect, if so, moveable automatically controlled equipped system returns to load station along guide rail, enter
Step (2);Otherwise, detection terminates.The detection method using machine vision, part detection, the multiple imaging technique of rotational positioning and
Image processing techniques realizes the real-time online intelligent measurement of the expected smooth surface flaw of on-plane surface, while to flaw type, quantity
It is identified, counts, be finally completed gadget quality judging.
It needs to be focused and demarcated respectively using two imaging sensors of standard form pair in the step 1, to ensure two
A imaging sensor in detection zone can at clearly as.
Gadget loading process in the step 2 realizes that sucker passes through pneumatic by gadget end sucker and damper
Circuit offer negative pressure, guarantee gadget and sucker fit closely;Damper can eliminate the high intensity displacement in gadget loading process,
Play vibration damping, vibration isolation.
Infrared emission sensor in the step 3 is connect with computer, when sensor sensing enters detection zone to gadget
Behind domain, visual sensor and rotation positioning device enter working condition.
According to the difference of detection object length in the step 4, different guide rails and motor movement parameter need to be set, to
The whole detection of gadget is completed in segmentation.
The setting of the fixed angle rotated in the step 5 matches with part curvature, and the fixed angle turned over can be completed
The compensation of gadget surface curvature is always ensured that the pickup area of image is effective coverage.
Any sensor of two imaging sensors detects quality problems in the step 6, judges that current gadget exists
Quality problems, and exported to computer as a result, making relevant treatment to current gadget.
The signal sent out according to step 6 in the step 7 executes related unloading operation to current gadget.
During project implementation, using local detection, the multiple imaging technique of rotational positioning and image processing techniques come
NI Vision Builder for Automated Inspection is realized in non-planar plastic smooth surface Defect Detection, which can effectively improve detection surface
Image quality, obtain clear, effective detection zone image, improve the accuracy of detection and accuracy rate of system.
Following equipment can be used in implementation process in the present invention:
(1) computer:Model grinds magnificent IPC-610L-701VG, processor inter i5-2400, and JPEG hardware is supported to compile
Decoding, inside saves as 4Gbits DDR3.Support RGB 24Bit interfaces and the output of TVOUT videos.
(2) display:Model Samsung C27F390FHC, resolution ratio 1920*1080.
(3) electric machine controller:Model LDM-420A, DC24V, 2A or more, 3 axis, 4 tunnel of photoelectric coupling, maximum impulse output
Frequency 150kHZ, S type accelerates pattern.
(4) motor:Motor model 60BH, rated voltage DC24V, rated power are not less than 100W, rated speed
3000rpm, number of poles 10.
(5) spring-damper:Model QD13/140, effective travel are not less than 50mm, mounting distance 200mm.
(6) sucker:Model 093H, specified tensile load 50N, effective adsorption area 100mm2。
(7) light source is detected:LUYOR-3320 bar shaped white light sources, 230V, 50HZ, 0.21A, appearance and size (mm) 320 ×
80 × 80, light source points are 10.
(8) optical lens:The industrial 300 everything element camera lenses of M3Z1228C-MP FA, specification Format:2/3";Interface mode:
C;Focal length (mm):12-36 (variable);Aperture (F):2.8-16C;Field angle (horizontal HOR) °:41.0-13.6;Nearest object image distance
From (M):0.2;Effective aperture:Before27.2;Afterwards12.1;Pre-filter screw thread35.5×0.5;Appearance and size (W×H×D mm):41.6×53.
(9) imaging sensor:The CMOS type number used is OV3460,2048*1536 pixels, and imaging region size is 3626
μm 2709 μm of x, pixel size are 1.75 μm of 1.75 μm of x, and maximum speed is per second up to 30 frames.
(10) sliding rail platform:Model GCD-302003M, stroke 800mm, helical pitch 5mm, repetitive positioning accuracy 0.05mm.
(11) light shield:Open bottom rectangular housing, material are aluminium section bar.
(12) infrared emission sensor:Model CTD-1500CP, effective detecting distance 15m, response time
1.5msecMax, infrared light supply.
According to required precision, the template of standard is first used to carry out distortion correction to digital CCD and optical system, then using essence
Degree is 10 μm of scaling board, is demarcated to imaging system, to obtain the actual physics face corresponding to imaging system single pixel
Product.The present invention uses standard checkerboard image bearing calibration, is characterized a little using the interior angle point of standard checkerboard image grid, according to it
In the correspondence of time coordinate plane and acquisition image coordinate itself, the distortion parameter of pick-up lens is found out, realizes its correction.
Then, using high-precision calibrating template, system is demarcated.
After being demarcated by geometric correction and high-precision calibrating template, entire detection zone different location can be made to detect
The image pixel of the actual surface area of target corresponding thereto keeps the proportionate relationship of strict conformance.Additionally, it is contemplated that imaging ring
Border generates the reason of noise, and the image of intake often has the noise of random distribution, i.e. Gaussian noise, in order to accurately detect
The edge of gadget needs to carry out denoising to the image of acquisition.The present invention adds the method removal image of mean value to make an uproar using intermediate value
Sound.The detection of non-planar plastic smooth surface flaw on-line intelligenceization mainly includes the following steps:
(1) first detecting system is demarcated and is calibrated, then controlled automatically controlled stage movement to gadget " loaded " position, lead to
It crosses sucker and pneumatic circuit device is completed the absorption of gadget, loaded, automatically controlled loading is controlled by computer after the completion of gadget loading
Platform moves to detection zone, and movement position realizes detection by light shield both sides infrared emission sensor;
(2) after gadget enters effective detection zone, according to the length of different gadgets, surface curvature and visual field size,
Jointly control detection object by guide rail and motor and complete contiguous segmentation and detects and be imaged;To each detection section, detection method
It is as follows:The rotatable extraction system of electric control system controls, by angular displacement (- 60 degree, -30 degree, -10 degree, 0 degree, 10 degree, 30 degree, 60
Degree) two cameras carry out imaging respectively and image stores, 7 frame images of the same detection section that then computer obtains each camera,
Image filtering processing is first carried out, and according to the type of detected plastic decorating part, isolate detection zone, and to detection zone into action
State Threshold segmentation detects the surface blemish of each frame image, and the picture frame for being 0 based on angular displacement using mode identification method
For reference image frame, the flaw of other 6 frame images is respectively mapped to reference picture.
(3) comprehensive detection of two video cameras is combined as a result, the reference image frame to each continuous segment carries out flaw statistics and mark
Know, and testing result is sent out to computer;According to testing result, if it is indefectible, the plastic sheet of detection is imported into qualified transmission
Band, conversely, detection object is imported waste product transmission belt;Whether continue to detect, if so, moveable automatically controlled equipped system edge
Guide rail returns to load station, and otherwise, detection terminates.
The present invention detects for real-time online, has the characteristics that non-contact, real-time, accuracy is high, can meet on-plane surface
The smooth surface quality detection requirement of plastics.
Claims (7)
1. one kind be applied to non-planar plastic smooth surface flaw on-line measuring device, including computer system, imaging system and
Moveable automatically controlled equipped system, which is characterized in that the automatically controlled equipped system detects object for placing, and can be according to angle
Degree rotation, enables the flaw blur-free imaging on the surface of detection object;The imaging system is used to obtain the picture of detection object;Institute
Computer system is stated for controlling imaging system and automatically controlled equipped system, the picture also obtained to imaging system is examined
It surveys.
2. according to claim 1 be applied to non-planar plastic smooth surface flaw on-line measuring device, which is characterized in that
The automatically controlled equipped system includes controller (3), motor (4), spring-damper (5) and sucker (6), the controller (3)
Input terminal is connected with computer system, and output end is connected with motor (4), and connecting spring damps on the output shaft of the motor (4)
Device (5), spring-damper upper end connect sucker (6), and sucker (6) the connection extract system and spring-damper (5) composition are drawn
System, the extraction system is controlled by motor (4) so that sucker (6) can be rotated by certain angle.
3. according to claim 1 be applied to non-planar plastic smooth surface flaw on-line measuring device, which is characterized in that
The automatically controlled equipped system is mounted on guide rail (10), and the automatically controlled equipped system can be along leading under the control of a computer system
Axial forward and backward move in imaging system of rail (10) enables imaging system to obtain the picture for detecting object.
4. according to claim 1 be applied to non-planar plastic smooth surface flaw on-line measuring device, which is characterized in that
The imaging system includes detecting light source (7), camera lens (8), the first imaging sensor (9), the second imaging sensor (11) and light
Shield (12), the smooth shield (12) are the rectangular housing that all round closure bottom opens, and what upper end both sides were equipped with bar shaped detects light source
(7), top center is equipped with the first imaging sensor (9), and the medial surface of the smooth shield (12) is equipped with the second of 45 degree of inclination angles
Imaging sensor (11);It is mounted on camera lens (8) on described first image sensor (9) and the second imaging sensor (11).
5. according to claim 4 be applied to non-planar plastic smooth surface flaw on-line measuring device, which is characterized in that
Smooth shield (12) lower end is equipped with correlation infrared sensor (14), and the correlation infrared sensor (14) is removable for perceiving
Whether dynamic automatically controlled equipped system reaches detection station, the detection signal of the correlation infrared sensor (14) and department of computer science
System is connected.
6. one kind being applied to non-planar plastic smooth surface flaw online test method, which is characterized in that using such as claim
In 1-5 it is any it is described be applied to non-planar plastic smooth surface flaw on-line measuring device, detection process includes the following steps:
(1) activation system is focused and is demarcated to imaging system using included standard form;
(2) moveable automatically controlled equipped system draws detection object by computer controlled motion to load station, and from injection molding machine;
(3) the moveable automatically controlled equipped system of computer control is run to detection station, once infrared shooting device detect it is flat
Platform enters detection station, and detecting system enters working condition;
(4) according to the size of the length and visual field of detection object, detection object is jointly controlled by guide rail and motor and is connected
Continuous segmentation, various visual angles image checking;
(5) to each detection section, detection method is as follows:The rotatable extraction system of electric control system controls, according to piece surface
Curvature subangle is detected step by step, and two imaging sensors carry out imaging and image storage respectively in each step, then calculate
The multiple image for the same detection section that machine system obtains each imaging sensor first carries out image filtering processing, and according to tested
The type of plastic decorating part is surveyed, detection zone is set;Then dynamic threshold segmentation is carried out to detection zone, is examined using mode identification method
The surface blemish of each frame image is measured, and is reference image frame based on the picture frame that angular displacement is 0, by the flaw of other frame images
Defect is respectively mapped to reference picture;
(6) combine two imaging sensors testing result, to all flaws detected by each continuous segment reference image frame into
Row statistics and mark, and testing result is passed to computer system, so that subsequent execution mechanism can carry out relevant treatment;
(7) after detecting, moveable automatically controlled equipped system moves along the rail unloading station, and determines according to testing result
It is operated;If indefectible, detection object is imported into qualified conveyer belt, conversely, detection object is imported waste product transmission belt;
(8) judge whether to continue to detect, if so, moveable automatically controlled equipped system returns to load station along guide rail, enter
Step (2);Otherwise, detection terminates.
7. according to claim 6 be applied to non-planar plastic smooth surface flaw online test method, which is characterized in that
The setting of the fixed angle rotated in the step (5) matches with part curvature, and the fixed angle turned over can be completed to detect
The compensation of subject surface curvature is always ensured that the pickup area of image is effective coverage.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810127630.3A CN108459030B (en) | 2018-02-08 | 2018-02-08 | Online detection device and method applied to smooth surface flaws of non-planar plastic |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810127630.3A CN108459030B (en) | 2018-02-08 | 2018-02-08 | Online detection device and method applied to smooth surface flaws of non-planar plastic |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108459030A true CN108459030A (en) | 2018-08-28 |
CN108459030B CN108459030B (en) | 2021-01-05 |
Family
ID=63239848
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810127630.3A Active CN108459030B (en) | 2018-02-08 | 2018-02-08 | Online detection device and method applied to smooth surface flaws of non-planar plastic |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108459030B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020146972A1 (en) * | 2019-01-14 | 2020-07-23 | Covestro Deutschland Ag | Method and system for controlling of an injection molding process |
CN111640112A (en) * | 2020-06-11 | 2020-09-08 | 云从科技集团股份有限公司 | Image detection method, system, platform, device, medium, and image processing apparatus |
CN112067621A (en) * | 2020-08-29 | 2020-12-11 | 杭州山立净化设备股份有限公司 | Intelligent barrel inspection equipment for chemical equipment and barrel inspection method |
Citations (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07270338A (en) * | 1994-03-31 | 1995-10-20 | Dainippon Printing Co Ltd | Apparatus for inspection of color filter |
CN1687761A (en) * | 2005-04-21 | 2005-10-26 | 上海交通大学 | Automatic method for recognizing pulverization of zinc coated based on machine vision |
CN101261234A (en) * | 2008-03-26 | 2008-09-10 | 广州中国科学院工业技术研究院 | Surface flaw detection device |
CN101403704A (en) * | 2007-12-07 | 2009-04-08 | 东华大学 | On-line fault detection system and method for fluoroplastic thin film |
CN102183525A (en) * | 2011-01-20 | 2011-09-14 | 单宝华 | Bridge apparent state automatic detection device and method based on charge coupled device (CCD) array photographic technique |
CN102253050A (en) * | 2011-03-14 | 2011-11-23 | 广州市盛通建设工程质量检测有限公司 | Automatic detection method and device for magnetic tile surface defect based on machine vision |
TWM445176U (en) * | 2012-08-24 | 2013-01-11 | Utechzone Co Ltd | Detection device using multi-axis robot arm |
TWM453145U (en) * | 2012-09-07 | 2013-05-11 | Hai Hong Prec Co Ltd | Automatic optical inspection machine structure |
CN103218627A (en) * | 2013-01-31 | 2013-07-24 | 沈阳航空航天大学 | Image detection method and device |
CN103389037A (en) * | 2013-07-12 | 2013-11-13 | 东华大学 | Device and method for detecting geometric technical parameters of lighting diffracting optical components |
CN203455286U (en) * | 2013-08-30 | 2014-02-26 | 东莞市乐琪光电科技有限公司 | Cell phone outer shell edge quality detection device based on machine vision |
CN103728302A (en) * | 2013-11-22 | 2014-04-16 | 香港斯托克股份有限公司 | Automatic detection equipment for object appearance |
CN103792699A (en) * | 2013-09-09 | 2014-05-14 | 中华人民共和国四川出入境检验检疫局 | TFT-LCD Mura defect machine vision detecting method based on B spline surface fitting |
CN104614386A (en) * | 2015-02-12 | 2015-05-13 | 江苏宇迪光学股份有限公司 | Lens defects type identification method |
CN104802175A (en) * | 2015-04-23 | 2015-07-29 | 上海大学 | Vacuum sucker mechanical arm capable of automatically adjusting position |
CN105424717A (en) * | 2014-09-05 | 2016-03-23 | 由田新技股份有限公司 | Optical detection device for detecting multiple defects |
CN105424718A (en) * | 2015-11-02 | 2016-03-23 | 东华大学 | Car mirror flaw online automatic detection device and method based on double stations |
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 |
CN105784711A (en) * | 2014-12-25 | 2016-07-20 | 锐视(厦门)科技有限公司 | Cod liver oil soft capsule appearance defect visual detection method and device |
CN106157303A (en) * | 2016-06-24 | 2016-11-23 | 浙江工商大学 | A kind of method based on machine vision to Surface testing |
CN106248681A (en) * | 2016-07-18 | 2016-12-21 | 南通大学 | Solid object multiclass defect detecting device based on machine vision and method |
CN106423894A (en) * | 2016-09-20 | 2017-02-22 | 图灵视控(北京)科技有限公司 | Automatic wheel hub appearance sorting device, sorting method and sorting system based on machine vision |
CN107030024A (en) * | 2017-05-25 | 2017-08-11 | 桂林电子科技大学 | Automobile diaphragm spring clutch on-line intelligence detection means based on machine vision |
CN107091627A (en) * | 2017-04-18 | 2017-08-25 | 复旦大学 | The composite measurement and appraisal procedure of a kind of multilist plane system |
CN206848181U (en) * | 2017-05-05 | 2018-01-05 | 哈尔滨理工大学 | A kind of Multifunctional rotary filming apparatus for Machine Vision Detection body surface quality |
CN206897873U (en) * | 2017-04-12 | 2018-01-19 | 浙江硕和机器人科技有限公司 | A kind of image procossing and detecting system based on detection product performance |
CN107664644A (en) * | 2017-09-30 | 2018-02-06 | 电子科技大学 | A kind of apparent automatic detection device of object based on machine vision and method |
-
2018
- 2018-02-08 CN CN201810127630.3A patent/CN108459030B/en active Active
Patent Citations (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07270338A (en) * | 1994-03-31 | 1995-10-20 | Dainippon Printing Co Ltd | Apparatus for inspection of color filter |
CN1687761A (en) * | 2005-04-21 | 2005-10-26 | 上海交通大学 | Automatic method for recognizing pulverization of zinc coated based on machine vision |
CN101403704A (en) * | 2007-12-07 | 2009-04-08 | 东华大学 | On-line fault detection system and method for fluoroplastic thin film |
CN101261234A (en) * | 2008-03-26 | 2008-09-10 | 广州中国科学院工业技术研究院 | Surface flaw detection device |
CN102183525A (en) * | 2011-01-20 | 2011-09-14 | 单宝华 | Bridge apparent state automatic detection device and method based on charge coupled device (CCD) array photographic technique |
CN102253050A (en) * | 2011-03-14 | 2011-11-23 | 广州市盛通建设工程质量检测有限公司 | Automatic detection method and device for magnetic tile surface defect based on machine vision |
TWM445176U (en) * | 2012-08-24 | 2013-01-11 | Utechzone Co Ltd | Detection device using multi-axis robot arm |
TWM453145U (en) * | 2012-09-07 | 2013-05-11 | Hai Hong Prec Co Ltd | Automatic optical inspection machine structure |
CN103218627A (en) * | 2013-01-31 | 2013-07-24 | 沈阳航空航天大学 | Image detection method and device |
CN103389037A (en) * | 2013-07-12 | 2013-11-13 | 东华大学 | Device and method for detecting geometric technical parameters of lighting diffracting optical components |
CN203455286U (en) * | 2013-08-30 | 2014-02-26 | 东莞市乐琪光电科技有限公司 | Cell phone outer shell edge quality detection device based on machine vision |
CN103792699A (en) * | 2013-09-09 | 2014-05-14 | 中华人民共和国四川出入境检验检疫局 | TFT-LCD Mura defect machine vision detecting method based on B spline surface fitting |
CN103728302A (en) * | 2013-11-22 | 2014-04-16 | 香港斯托克股份有限公司 | Automatic detection equipment for object appearance |
CN105424717A (en) * | 2014-09-05 | 2016-03-23 | 由田新技股份有限公司 | Optical detection device for detecting multiple defects |
CN105784711A (en) * | 2014-12-25 | 2016-07-20 | 锐视(厦门)科技有限公司 | Cod liver oil soft capsule appearance defect visual detection method and device |
CN104614386A (en) * | 2015-02-12 | 2015-05-13 | 江苏宇迪光学股份有限公司 | Lens defects type identification method |
CN104802175A (en) * | 2015-04-23 | 2015-07-29 | 上海大学 | Vacuum sucker mechanical arm capable of automatically adjusting position |
CN105424718A (en) * | 2015-11-02 | 2016-03-23 | 东华大学 | Car mirror flaw online automatic detection device and method based on double stations |
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 |
CN106157303A (en) * | 2016-06-24 | 2016-11-23 | 浙江工商大学 | A kind of method based on machine vision to Surface testing |
CN106248681A (en) * | 2016-07-18 | 2016-12-21 | 南通大学 | Solid object multiclass defect detecting device based on machine vision and method |
CN106423894A (en) * | 2016-09-20 | 2017-02-22 | 图灵视控(北京)科技有限公司 | Automatic wheel hub appearance sorting device, sorting method and sorting system based on machine vision |
CN206897873U (en) * | 2017-04-12 | 2018-01-19 | 浙江硕和机器人科技有限公司 | A kind of image procossing and detecting system based on detection product performance |
CN107091627A (en) * | 2017-04-18 | 2017-08-25 | 复旦大学 | The composite measurement and appraisal procedure of a kind of multilist plane system |
CN206848181U (en) * | 2017-05-05 | 2018-01-05 | 哈尔滨理工大学 | A kind of Multifunctional rotary filming apparatus for Machine Vision Detection body surface quality |
CN107030024A (en) * | 2017-05-25 | 2017-08-11 | 桂林电子科技大学 | Automobile diaphragm spring clutch on-line intelligence detection means based on machine vision |
CN107664644A (en) * | 2017-09-30 | 2018-02-06 | 电子科技大学 | A kind of apparent automatic detection device of object based on machine vision and method |
Non-Patent Citations (1)
Title |
---|
胡广华 等: "《一种基于多目机器视觉的光学薄膜瑕疵检测系统》", 《机械设计与制造》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020146972A1 (en) * | 2019-01-14 | 2020-07-23 | Covestro Deutschland Ag | Method and system for controlling of an injection molding process |
CN111640112A (en) * | 2020-06-11 | 2020-09-08 | 云从科技集团股份有限公司 | Image detection method, system, platform, device, medium, and image processing apparatus |
CN111640112B (en) * | 2020-06-11 | 2021-04-16 | 云从科技集团股份有限公司 | Image detection method, system, platform, device, medium, and image processing apparatus |
CN112067621A (en) * | 2020-08-29 | 2020-12-11 | 杭州山立净化设备股份有限公司 | Intelligent barrel inspection equipment for chemical equipment and barrel inspection method |
Also Published As
Publication number | Publication date |
---|---|
CN108459030B (en) | 2021-01-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102539443B (en) | Bottle body defect automatic detection method based on machine vision | |
CN110146507B (en) | System and method for detecting appearance defects of automobile paint surface | |
CN102590218B (en) | Device and method for detecting micro defects on bright and clean surface of metal part based on machine vision | |
CN102253048B (en) | Machine vision detection method and system for detection of various products | |
CN103743761B (en) | A kind of eyeglass watermark defect image detection device | |
CN116879308A (en) | Industrial machine vision system image processing method | |
CN106802301B (en) | Machine vision online detection system and method for engine valve | |
CN104101603B (en) | Steel strip surface defect detection method | |
CN108459030A (en) | One kind being applied to non-planar plastic smooth surface flaw on-line measuring device and method | |
CN107764834B (en) | Device for automatically detecting surface defects of transparent part and detection method thereof | |
CN104237252A (en) | Machine-vision-based method and device for intelligently detecting surface micro-defects of product | |
CN104280406A (en) | Machine vision system for detecting surface defects of copper part | |
JPH04166751A (en) | Method and apparatus for inspecting defect in bottle and the like | |
RU2011130930A (en) | METHOD FOR NON-DESTRUCTIVE CONTROL OF MECHANICAL PARTS | |
CN208505916U (en) | A kind of glass detection machine | |
CN103940822A (en) | Product outer surface defect image acquisition device based on machine vision | |
CN103630544B (en) | A kind of vision on-line detecting system | |
CN107664644A (en) | A kind of apparent automatic detection device of object based on machine vision and method | |
CN110987970A (en) | Object surface defect detection system and detection method | |
CN109297412A (en) | A kind of image collecting device and spline detection method of the spline end face of splined shaft | |
CN208155258U (en) | A kind of online dimensional measurement of phone housing and surface defects detection system | |
CN110567968A (en) | part defect detection method and device | |
CN205879814U (en) | Column container inner wall defect stravismus automatic checkout device | |
CN105057229B (en) | A kind of sprayed surface defect inspection machine | |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |