CN109513639A - Annular work piece inner wall defect detection device and method based on machine vision - Google Patents
Annular work piece inner wall defect detection device and method based on machine vision Download PDFInfo
- Publication number
- CN109513639A CN109513639A CN201910003339.XA CN201910003339A CN109513639A CN 109513639 A CN109513639 A CN 109513639A CN 201910003339 A CN201910003339 A CN 201910003339A CN 109513639 A CN109513639 A CN 109513639A
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- Prior art keywords
- rack
- detection device
- work piece
- machine vision
- workpiece
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- 238000001514 detection method Methods 0.000 title claims abstract description 66
- 230000007547 defect Effects 0.000 title claims abstract description 20
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000009434 installation Methods 0.000 claims abstract description 7
- 230000002950 deficient Effects 0.000 claims description 11
- 238000003384 imaging method Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
- B07C5/3422—Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
- B07C5/362—Separating or distributor mechanisms
Abstract
The present invention relates to a kind of annular work piece inner wall defect detection device and method based on machine vision, including rack and multiple groups detection station, installation multiple groups detection station in interval in the rack, the detection station includes a pair of lenses, light source and video camera, conveyer chain is installed in the rack, multipair eyeglass is installed at the two sides interval of the conveyer chain, and each pair of eyeglass is symmetrically to be obliquely installed, light source is installed above the eyeglass, video camera is installed in the middle part of the light source.The configuration of the present invention is simple is skillfully constructed, and entire detection process is completed by equipment, and without human intervention, in addition the video camera in this equipment uses common tight shot, reduces the cost of detection device.This equipment is easily achieved, is practical, realizes the comprehensive acquisition of same station, to realize the purpose of quick comprehensive detection, the value with wide popularization and application.
Description
Technical field
The invention belongs to detection technique field, especially a kind of annular work piece inner wall defect detection based on machine vision is set
Standby and method.
Background technique
In the prior art, for some high precision parts, such as bearing holder (housing, cover), inside and outside wall, end face, interior outer chamfer are carried out
Stringent detection determines whether the defects of there are slight cracks, notch.Traditional detection method, which generally passes through, artificially to be detected, this side
Formula not only inefficiency, and detection accuracy is poor.
Currently, occur being detected with wide-angle lens on the market, this detection mode there are the problem of are as follows: one, generally require
More cameras, multiple stations carry out cooperation detection, and detection efficiency is low；Two, need using expensive endoscope head so that detection at
This is greatly improved.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of annular work piece inner wall based on machine vision
Defect detection equipment and method, the apparatus structure is simple, detection accuracy is high.
The scheme of the invention is be achieved:
A kind of annular work piece inner wall defect detection device based on machine vision, including rack and multiple groups detection station, institute
State in rack interval installation multiple groups detection station, the detection station includes a pair of lenses, light source and video camera, in the rack
Conveyer chain is installed, multipair eyeglass is installed at the two sides interval of the conveyer chain, and each pair of eyeglass is symmetrically to be obliquely installed, the eyeglass
Top is equipped with light source, and video camera is installed in the middle part of the light source.
Moreover, the back side mounting bracket of the eyeglass, the tooth that the frame bottom of each pair of eyeglass is installed with a pair of meshing respectively
Wheel is fixedly mounted with connection, and one of gear is driven by stepper motor.
Moreover, the feeding end of the rack is provided with feeding baffle, installs and slide in the rack of the corresponding feeding baffle inboard
Dynamic baffle, the feeding baffle and slide damper are L-type structure.
Moreover, installing cylinder in the rack of feeding baffle side, workpiece is headed on conveyer chain by cylinder.
Moreover, installing sensor in rack between the feeding baffle and eyeglass on the outside of conveyer chain.
Moreover, being equipped with the sensor for detecting the location of workpiece in rack on rear side of every group of detection station.
Moreover, the discharge end of the rack is equipped with rejecting impeller, circular shaft is uniformly fixedly mounted with more on the turntable of the rejecting impeller
A blade, the surface rejected impeller and be located at conveyer chain.
Moreover, the corresponding rack inboard inclined downward for rejecting impeller installs lower hopper.
Moreover, installing two conveyer chains in the rack.
A method of the annular work piece inner wall defect detection device based on machine vision includes the following steps:
Step 1: workpiece enters from the feed inlet at the top of feeding baffle, workpiece is pushed on conveyer chain by cylinder, this
When sensor detected whether workpiece, continue feeding if not detecting workpiece；
Start to detect Step 2: workpiece is sent to first detection station by conveyer chain, the imaging of camera record workpiece；
Step 3: then workpiece is admitted to subsequent multiple detection stations and continues to test, it is therefore an objective to effectively increase detection
Precision, the sensor at every group of detection station rear are used to record the position of defective products；
Step 4: rejecting impeller rotation after the last one sensor determines defective products to reject defective products.
The advantages and positive effects of the present invention are:
1, this equipment forms imaging device by eyeglass, light source, video camera, by the outer wall of workpiece, inner wall and two ends
Face is presented in the same image, is not only simple in structure and is improved detection accuracy.
2, multiple groups detection station is arranged in this equipment, greatly improves detection accuracy, effectively reduces manpower, improves work effect
Rate.
3, the feeding end of this equipment is provided with cylinder, enters position convenient for workpiece, is detected, is prevented by feeding end sensor
Vacancy improves efficiency.
4, the discharging end of this equipment is provided with rejecting impeller, directly rejects it from conveyer chain after finding defective products,
Intelligence degree is high, improves efficiency.
5, each pair of eyeglass in this equipment adjusts its angle by one group of meshed gears, realizes and is adjusted in synchronism angle
Purpose, it is easily operated, structure is simple, synchronism is strong.
6, the configuration of the present invention is simple, be skillfully constructed, entire detection process is completed by equipment, without human intervention, in addition
Video camera in this equipment uses common tight shot, reduces the cost of detection device.This equipment is easily achieved, is real
It is strong with property, the comprehensive acquisition of same station is realized, to realize the purpose of quick comprehensive detection, has and is widely popularized
The value of application.
Detailed description of the invention
Fig. 1 is main view of the invention；
Fig. 2 is the right view of Fig. 1；
Fig. 3 is stereochemical structure of the invention；
Fig. 4 is the mounting structure schematic diagram of every group of eyeglass in Fig. 1；
Fig. 5 is the portion the I enlarged drawing in Fig. 3；
Fig. 6 is the image of video camera acquisition of the present invention.
Appended drawing reference:
1- light source, 2- video camera, 3- eyeglass, 4- conveyer chain, 5- sensor, 6- feeding baffle, 7- cylinder, 8- bracket, 9-
Reject impeller, 10- lower hopper, 11- motor, 12- rack, 13- gear, 14- slide damper, 15- stepper motor, 16- shaft.
Specific embodiment
Technical solution in order to enable those skilled in the art to better understand the present invention, in the following with reference to the drawings and specific embodiments
It elaborates to the present invention.
A kind of annular work piece inner wall defect detection device based on machine vision, as shown in Figure 1 to Figure 3, including rack 12
With multiple groups detection station, installation multiple groups detection station in interval in the rack, the detection station in the present embodiment attached drawing is three groups,
The detection station includes a pair of lenses 3, light source 1 and video camera 2, is equipped with conveyer chain 4 in the rack, the conveyer chain is by driving
Dynamic motor 11 drives, and three pairs of eyeglasses are installed at the two sides interval of the conveyer chain, and each pair of eyeglass is symmetrically to be obliquely installed, the eyeglass
Top is equipped with light source, and video camera is installed in the middle part of the light source.Two end faces of workpiece A and inner wall are obtained into every group of eyeglass
Picture finally makes the imaging effect of video camera as shown in fig. 6, one can be presented on for the outer wall of workpiece, inner wall and two end face
On sub-picture, the comprehensive acquisition of same station is realized, to realize the purpose of quick comprehensive detection.
In the present embodiment, the back side of the eyeglass is equipped with the bracket 8 of L-type structure, the frame bottom setting of each pair of eyeglass
There is one group of meshed gears 13, each gear is coaxially fixed with shaft 16, and bottom end and the shaft of each bracket are solidly installed,
As shown in figure 4, one of gear is driven by stepper motor 15, to realize that two panels eyeglass is adjusted in synchronism the purpose of angle, knot
Structure is simple, practical.
Feeding baffle 6 is provided on the right side of the rack, as shown in figure 5, pacifying in the rack of the corresponding feeding baffle inboard
Slide damper 14 is filled, by adjusting the distance between slide damper and feeding baffle, thus realize the detection of different size workpiece,
Improve the scope of application.The elongated slot (not shown) mobile for slide damper is formed in the rack.The feeding baffle and
Slide damper is L-type structure.
For the ease of feeding, cylinder 7 is installed in the rack of feeding baffle side, workpiece is headed by transmission by cylinder
On chain.
Sensor 5 is installed, the sensor is for detecting in the rack between the feeding baffle and eyeglass on the outside of conveyer chain
Whether workpiece falls on conveyer chain.
Sensor for detecting the location of workpiece is equally installed in the rack on rear side of every group of detection station.
Discharge end on the left of the rack, which is equipped with, rejects impeller 9, and circular shaft is uniformly fixedly mounted with more on the turntable of the rejecting impeller
A blade.The surface rejected impeller and be located at conveyer chain, the corresponding rack inboard inclined downward for rejecting impeller install blanking
Bucket 10.When finding rejected product, reject impeller rotate an angle, thus defective products is rejected and pass through lower hopper fall into it is bad
In region.
In order to improve working efficiency, two conveyer chains are installed in the rack.
A method of the annular work piece inner wall defect detection device based on machine vision includes the following steps:
Step 1: workpiece enters from the feed inlet at the top of feeding baffle, workpiece is pushed on conveyer chain by cylinder, this
When sensor detected whether workpiece, continue feeding if not detecting workpiece；
Start to detect Step 2: workpiece is sent to first detection station by conveyer chain, the imaging of camera record workpiece；
Step 3: then workpiece is admitted to subsequent multiple detection stations and continues to test, it is therefore an objective to effectively increase detection
Precision, the sensor at every group of detection station rear are used to record the position of defective products；
Step 4: rejecting impeller rotation after the last one sensor determines defective products to reject defective products.
It is emphasized that embodiment of the present invention be it is illustrative, without being restrictive, therefore packet of the present invention
Include and be not limited to embodiment described in specific embodiment, it is all by those skilled in the art according to the technique and scheme of the present invention
The other embodiments obtained, also belong to the scope of protection of the invention.
Claims (10)
1. a kind of annular work piece inner wall defect detection device based on machine vision, it is characterised in that: examined including rack and multiple groups
Station is surveyed, installation multiple groups detection station in interval in the rack, the detection station includes a pair of lenses, light source and video camera,
Conveyer chain is installed in the rack, multipair eyeglass is installed at the two sides interval of the conveyer chain, and each pair of eyeglass is symmetrically to be obliquely installed,
Light source is installed above the eyeglass, video camera is installed in the middle part of the light source.
2. the annular work piece inner wall defect detection device according to claim 1 based on machine vision, it is characterised in that: institute
The back side mounting bracket of eyeglass is stated, the frame bottom of each pair of eyeglass is fixedly mounted with the gear of a pair of meshing installation connect respectively, wherein
One gear is driven by stepper motor.
3. the annular work piece inner wall defect detection device according to claim 1 based on machine vision, it is characterised in that: institute
The feeding end for stating rack is provided with feeding baffle, installs slide damper, the feeding in the rack of the corresponding feeding baffle inboard
Baffle and slide damper are L-type structure.
4. the annular work piece inner wall defect detection device according to claim 3 based on machine vision, it is characterised in that: institute
It states and cylinder is installed in the rack of feeding baffle side, headed into workpiece on conveyer chain by cylinder.
5. the annular work piece inner wall defect detection device according to claim 3 or 4 based on machine vision, feature exist
In: sensor is installed in the rack between the feeding baffle and eyeglass on the outside of conveyer chain.
6. the annular work piece inner wall defect detection device according to claim 1 based on machine vision, it is characterised in that: every
Sensor for detecting the location of workpiece is installed in the rack on rear side of group detection station.
7. the annular work piece inner wall defect detection device according to claim 1 based on machine vision, it is characterised in that: institute
The discharge end for stating rack is equipped with rejecting impeller, and circular shaft is uniformly fixedly mounted with multiple blades, the rejecting on the turntable of the rejecting impeller
Impeller is located at the surface of conveyer chain.
8. the annular work piece inner wall defect detection device according to claim 7 based on machine vision, it is characterised in that: right
The rack inboard inclined downward installation lower hopper of impeller should be rejected.
9. the annular work piece inner wall defect detection device according to claim 1 based on machine vision, it is characterised in that: institute
State two conveyer chains of installation in rack.
10. a kind of annular work piece inner wall defect detection device as described in any one of claim 1 to 9 based on machine vision
Method, characterized by the following steps:
Step 1: workpiece enters from the feed inlet at the top of feeding baffle, workpiece is pushed on conveyer chain by cylinder, is passed at this time
Sensor has detected whether workpiece, continues feeding if not detecting workpiece；
Start to detect Step 2: workpiece is sent to first detection station by conveyer chain, the imaging of camera record workpiece；
Step 3: then workpiece is admitted to subsequent multiple detection stations and continues to test, it is therefore an objective to detection accuracy is effectively increased,
The sensor at every group of detection station rear is used to record the position of defective products；
Step 4: rejecting impeller rotation after the last one sensor determines defective products to reject defective products.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910003339.XA CN109513639A (en) | 2019-01-03 | 2019-01-03 | Annular work piece inner wall defect detection device and method based on machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910003339.XA CN109513639A (en) | 2019-01-03 | 2019-01-03 | Annular work piece inner wall defect detection device and method based on machine vision |
Publications (1)
| Publication Number | Publication Date |
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| CN109513639A true CN109513639A (en) | 2019-03-26 |
Family
ID=65798905
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910003339.XA Pending CN109513639A (en) | 2019-01-03 | 2019-01-03 | Annular work piece inner wall defect detection device and method based on machine vision |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110044183A (en) * | 2019-03-27 | 2019-07-23 | 福建三钢闽光股份有限公司 | A kind of off-square detection automatic charging method based on machine vision |
| CN112858332A (en) * | 2021-02-22 | 2021-05-28 | 菲特(珠海横琴)智能科技有限公司 | Synchronizer gear hub surface defect detection method, system and terminal based on machine vision |
| CN113000413A (en) * | 2021-05-06 | 2021-06-22 | 菲特（天津）检测技术有限公司 | System, method and terminal for detecting surface defects of synchronizer gear sleeve based on machine vision |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001099782A (en) * | 1999-09-29 | 2001-04-13 | Iseki & Co Ltd | Device for imaging fruit or the like |
| CN201223856Y (en) * | 2008-07-03 | 2009-04-22 | 西北工业大学 | Bamboo strip automatic sorting apparatus based on machine vision |
| CN102486463A (en) * | 2011-05-25 | 2012-06-06 | 浙江三和机电科技有限公司 | Full-automatic plane bearing appearance visual inspection device |
| CN103480585A (en) * | 2013-10-08 | 2014-01-01 | 南京萨特科技发展有限公司 | Fully-automatic tracking appearance inspection equipment |
| CN103940822A (en) * | 2014-04-01 | 2014-07-23 | 华南理工大学 | Product outer surface defect image acquisition device based on machine vision |
| CN105699393A (en) * | 2016-03-22 | 2016-06-22 | 横店集团东磁股份有限公司 | System suitable for magnetic tile appearance defect detection and method for realizing system |
| CN106896110A (en) * | 2017-04-25 | 2017-06-27 | 重庆普耀科技有限公司 | Product quality detection means and method based on monocular camera machine vision |
| CN107185858A (en) * | 2017-05-31 | 2017-09-22 | 广东白云学院 | A kind of fruit detection hierarchy system and method |
| CN207113797U (en) * | 2017-07-06 | 2018-03-16 | 无锡九霄科技有限公司 | A kind of device for being used to detect pin three-dimensional dimension |
| CN207723079U (en) * | 2017-12-13 | 2018-08-14 | 广州市大岳智能设备有限公司 | A kind of high askew lid of automatic production line makes inspection machine |
| CN209255263U (en) * | 2019-01-03 | 2019-08-16 | 菲特(天津)智能科技有限公司 | A kind of annular work piece inner wall defect detection device based on machine vision |
-
2019
- 2019-01-03 CN CN201910003339.XA patent/CN109513639A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001099782A (en) * | 1999-09-29 | 2001-04-13 | Iseki & Co Ltd | Device for imaging fruit or the like |
| CN201223856Y (en) * | 2008-07-03 | 2009-04-22 | 西北工业大学 | Bamboo strip automatic sorting apparatus based on machine vision |
| CN102486463A (en) * | 2011-05-25 | 2012-06-06 | 浙江三和机电科技有限公司 | Full-automatic plane bearing appearance visual inspection device |
| CN103480585A (en) * | 2013-10-08 | 2014-01-01 | 南京萨特科技发展有限公司 | Fully-automatic tracking appearance inspection equipment |
| CN103940822A (en) * | 2014-04-01 | 2014-07-23 | 华南理工大学 | Product outer surface defect image acquisition device based on machine vision |
| CN105699393A (en) * | 2016-03-22 | 2016-06-22 | 横店集团东磁股份有限公司 | System suitable for magnetic tile appearance defect detection and method for realizing system |
| CN106896110A (en) * | 2017-04-25 | 2017-06-27 | 重庆普耀科技有限公司 | Product quality detection means and method based on monocular camera machine vision |
| CN107185858A (en) * | 2017-05-31 | 2017-09-22 | 广东白云学院 | A kind of fruit detection hierarchy system and method |
| CN207113797U (en) * | 2017-07-06 | 2018-03-16 | 无锡九霄科技有限公司 | A kind of device for being used to detect pin three-dimensional dimension |
| CN207723079U (en) * | 2017-12-13 | 2018-08-14 | 广州市大岳智能设备有限公司 | A kind of high askew lid of automatic production line makes inspection machine |
| CN209255263U (en) * | 2019-01-03 | 2019-08-16 | 菲特(天津)智能科技有限公司 | A kind of annular work piece inner wall defect detection device based on machine vision |
Non-Patent Citations (1)
| Title |
|---|
| 欧阳立: "《自动化生产线装调综合实训教程 第2版》", 中国建筑工业出版社, pages: 125 - 10 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110044183A (en) * | 2019-03-27 | 2019-07-23 | 福建三钢闽光股份有限公司 | A kind of off-square detection automatic charging method based on machine vision |
| CN110044183B (en) * | 2019-03-27 | 2020-02-07 | 福建三钢闽光股份有限公司 | Fang detection automatic feeding method based on machine vision |
| CN112858332A (en) * | 2021-02-22 | 2021-05-28 | 菲特(珠海横琴)智能科技有限公司 | Synchronizer gear hub surface defect detection method, system and terminal based on machine vision |
| CN113000413A (en) * | 2021-05-06 | 2021-06-22 | 菲特（天津）检测技术有限公司 | System, method and terminal for detecting surface defects of synchronizer gear sleeve based on machine vision |
| CN113000413B (en) * | 2021-05-06 | 2022-07-05 | 菲特（天津）检测技术有限公司 | System, method and terminal for detecting surface defects of synchronizer gear sleeve based on machine vision |
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Effective date of registration: 20220301 Address after: Building 95-1, lingshangjiayuan, north of West 7th Road, Center Avenue, airport logistics processing zone, Tianjin Free Trade Zone (Airport Economic Zone), Binhai New Area, Tianjin Applicant after: FITOW (TIANJIN) DETECTION TECHNOLOGY CO.,LTD. Address before: 300300 Room 518, intelligent networked automobile industry research institute, No. 15, Hongcheng Road, Huaming high tech Industrial Zone, Huaming street, Dongli District, Tianjin Applicant before: FEITE (TIANJIN) INTELLIGENT TECHNOLOGY Co.,Ltd. |