CN111735767A - Cloth texture angle detection method based on machine vision - Google Patents
Cloth texture angle detection method based on machine vision Download PDFInfo
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- CN111735767A CN111735767A CN202010701341.7A CN202010701341A CN111735767A CN 111735767 A CN111735767 A CN 111735767A CN 202010701341 A CN202010701341 A CN 202010701341A CN 111735767 A CN111735767 A CN 111735767A
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- 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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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- 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
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/892—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the flaw, defect or object feature examined
- G01N21/898—Irregularities in textured or patterned surfaces, e.g. textiles, wood
Abstract
The invention discloses a cloth texture angle detection method based on machine vision, which comprises the following steps: step one, mounting a product to be detected on a supporting seat, and placing a rotating plate at a zero position; turning on a light source, and taking a picture of the product to be detected by using a camera; driving a rotating plate to drive a product to be detected on a supporting seat to rotate by a certain angle by a motor, and photographing the product to be detected by a camera; step four, repeating the step three until the product to be detected is photographed in the whole circumferential direction; and step five, processing the shot picture to obtain a fitting straight line of the fabric texture on the product, comparing the angle of the fitting straight line with a set threshold value, and outputting a detection result. According to the invention, the automatic detection of the distribution of the cloth grain positions on the product is realized by automatically rotating and photographing the product, and the shooting definition of the product at any angle can be ensured without focusing a camera, so that the accuracy and precision of the detection are ensured.
Description
Technical Field
The invention relates to a cloth texture angle detection method based on machine vision, and belongs to the technical field of industrial vision detection.
Background
Nowadays, China is becoming one of the most active areas in the development of machine vision in the world, and the application range covers various industries of national economy such as industry, agriculture, medicine, military, aerospace, weather, astronomy, public security, traffic, safety, scientific research and the like. The important reason is that China has become the processing center of the global manufacturing industry, and the processing of high-demand parts and corresponding advanced production lines thereof make many machine vision systems and application experiences with international advanced level enter China.
Machine vision systems are characterized by increased production flexibility and automation. In some dangerous working environments which are not suitable for manual operation or occasions which are difficult for manual vision to meet the requirements, machine vision is commonly used to replace the manual vision; meanwhile, in the process of mass industrial production, the efficiency of checking the product quality by using manual vision is low, the precision is not high, and the production efficiency and the automation degree of production can be greatly improved by using a machine vision detection method.
Disclosure of Invention
The invention aims to provide a cloth texture angle detection method based on machine vision, which can realize automatic detection of cloth texture position distribution on a product, and can ensure the shooting definition of the product at any angle without focusing a camera, thereby ensuring the accuracy and precision of detection.
In order to achieve the purpose, the invention adopts the technical scheme that: a cloth texture angle detection method based on machine vision is based on a detection device, wherein the detection device comprises an operation substrate, a movable plate movably arranged above the operation substrate, a driving shaft, a rotating plate and a lens, the rotating plate is positioned above the movable plate and connected with the upper end of the driving shaft, the lower end of the driving shaft sequentially penetrates through the movable plate and the operation substrate and is rotatably connected with the movable plate through a bearing seat, and the lens is arranged on the operation substrate and positioned on one side of the rotating plate;
the center of the rotating plate is provided with a mounting hole for embedding the upper end of the driving shaft, the upper part of the driving shaft and the lower part of the rotating plate are provided with flange parts extending outwards in the radial direction, the upper surfaces of the flange parts are connected with the lower surface of the rotating plate, and the lower surfaces of the flange parts are contacted with the upper end surface of the bearing seat;
a motor is arranged below the movable plate, an output shaft of the motor is connected with the lower end of the driving shaft and used for driving the driving shaft and driving the rotating plate to rotate, the motor is arranged on the movable plate, a supporting seat used for mounting a product to be detected is arranged on the rotating plate, a light source is arranged between the lens and the rotating plate, and a camera is arranged at one end of the lens opposite to the rotating plate, so that the camera, the lens, the light source and the product to be detected placed on the supporting seat on the rotating plate are positioned on the same straight line;
an adapter plate is arranged between the operation substrate and the movable plate, the lower surface of the movable plate is connected with the upper surface of the adapter plate in a sliding mode through two linear guide rails and a sliding block, a cam is arranged on the lower surface of the adapter plate and positioned on the outer side of the flange portion, the curve profile of the cam is the same as the circumferential profile of the product to be detected, and a follow-up roller matched with the cam is rotatably arranged on one side of the upper surface of the adapter plate;
two side end faces of the movable plate are respectively provided with a first mounting column, the upper surface of the adapter plate and the outer sides of the two linear guide rails are respectively provided with a second mounting column corresponding to the first mounting column, and the first mounting column and the second mounting column which are positioned on the same side are connected through an elastic piece;
the detection method comprises the following steps:
step one, mounting a product to be detected on a supporting seat, and placing a rotating plate at a zero position;
turning on a light source, and taking a picture of the product to be detected by using a camera;
driving a rotating plate to drive a product to be detected on a supporting seat to rotate by a certain angle by a motor, and photographing the product to be detected by a camera;
step four, repeating the step three until the product to be detected is photographed in the whole circumferential direction;
and step five, processing the shot picture to obtain a fitting straight line of the fabric texture on the product, comparing the angle of the fitting straight line with a set threshold value, and outputting a detection result.
The further improved scheme in the technical scheme is as follows:
1. in the above scheme, the elastic member is a spring.
2. In the scheme, two radial ball bearings are arranged in the upper part of the bearing seat, and at least one deep groove ball bearing is arranged in the lower part of the bearing seat.
3. In the above scheme, in the third step, the rotating plate drives the cam to rotate at the same time, and the cam is kept attached to the follow-up roller under the action of the elastic piece, so that the movable plate reciprocates along the linear guide rail.
4. In the above scheme, the operation substrate is mounted on the frame, and the outer side of the frame is provided with the protective cover.
5. In the above scheme, a sensing transmitter is installed to the rotor plate side, install a sensing receiver with sensing transmitter complex on the activity board.
Due to the application of the technical scheme, compared with the prior art, the invention has the following advantages:
according to the cloth texture angle detection method based on machine vision, manual work is completely replaced by automatic rotation and shooting of the product, automatic detection of cloth texture position distribution on the product is achieved, the degree of automation is high, meanwhile, the distance between a to-be-shot area on the product and a camera is guaranteed to be constant, the shooting definition of the product at any angle can be guaranteed without focusing, the accuracy and precision of detection are improved, time is saved, and the detection efficiency is improved.
Drawings
FIG. 1 is a schematic structural diagram of a detection device based on the detection method of the present invention;
FIG. 2 is a schematic view of a partial structure of a detection device based on the detection method of the present invention;
FIG. 3 is a schematic view of a partial structure of a detection device based on the detection method of the present invention;
FIG. 4 is a schematic view of a partial structure of a detection device based on the detection method of the present invention;
FIG. 5 is a partial structural sectional view of a detection apparatus on which the detection method of the present invention is based;
FIG. 6 is a schematic view of the structure of a product to be detected in a detection device on which the detection method of the present invention is based.
In the above drawings: 1. a work substrate; 2. a rotating plate; 201. a flange portion; 3. a supporting seat; 4. a motor; 5. a drive shaft; 6. a coupling; 7. a speed reducer; 8. a bearing seat; 10. a product to be detected; 15. a lens; 16. a light source; 17. a camera; 18. a movable plate; 19. an adapter plate; 20. a linear guide rail; 21. a slider; 22. mounting a plate; 23. a cam; 24. a follower roller; 25. a first mounting post; 26. a second mounting post; 27. an elastic member; 28. a frame; 29. a protective cover; 30. a sensing transmitter; 31. a sensing receiver.
Detailed Description
Example 1: a cloth texture angle detection method based on machine vision is based on a detection device, wherein the detection device comprises a working substrate 1, a movable plate 18 movably mounted above the working substrate 1, a driving shaft 5, a rotating plate 2 and a lens 15, the rotating plate 2 is located above the movable plate 18 and connected with the upper end of the driving shaft 5, the lower end of the driving shaft 5 sequentially penetrates through the movable plate 18 and the working substrate 1 and is rotatably connected with the movable plate 18 through a bearing seat 8, and the lens 15 is mounted on the working substrate 1 and located on one side of the rotating plate 2;
the center of the rotating plate 2 is provided with a mounting hole for embedding the upper end of the driving shaft 5, the upper part of the driving shaft 5 is provided with a flange part 201 which extends outwards in the radial direction and is positioned below the rotating plate 2, the upper surface of the flange part 201 is connected with the lower surface of the rotating plate 2, and the lower surface of the flange part 201 is contacted with the upper end surface of the bearing seat 8;
a motor 4 is arranged below the movable plate 18, an output shaft of the motor 4 is connected with the lower end of the driving shaft 5 and is used for driving the driving shaft 5 and driving the rotating plate 2 to rotate, the motor 4 is arranged on the movable plate 18, a supporting seat 3 for mounting a product 10 to be detected is arranged on the rotating plate 2, a light source 16 is arranged between the lens 15 and the rotating plate 2, and a camera 17 is arranged at one end of the lens 15 opposite to the rotating plate 2, so that the camera 17, the lens 15, the light source 16 and the product 10 to be detected placed on the supporting seat 3 on the rotating plate 2 are positioned on the same straight line;
an adapter plate 19 is arranged between the operation substrate 1 and the movable plate 18, the lower surface of the movable plate 18 is in sliding connection with the upper surface of the adapter plate 19 through two linear guide rails 20 and a sliding block 21, a cam 23 is arranged on the lower surface of the rotating plate 2 and positioned on the outer side of the flange portion 201, the curve profile of the cam 23 is the same as the circumferential profile of the product 10 to be detected, and a follow-up roller 24 matched with the cam 23 is rotatably arranged on one side of the upper surface of the adapter plate 19;
two side end surfaces of the movable plate 18 are respectively provided with a first mounting column 25, the upper surface of the adapter plate 19 and the outer sides of the two linear guide rails 20 are respectively provided with a second mounting column 26 corresponding to the first mounting column 25, and the first mounting column 25 and the second mounting column 26 on the same side are connected through an elastic member 27;
the detection method comprises the following steps:
step one, mounting a product 10 to be detected on a supporting seat 3, and placing a rotating plate 2 at a zero position;
turning on the light source 16, and taking a picture of the product 10 to be detected by using the camera 17;
thirdly, the motor 4 drives the rotating plate 2 to drive the product 10 to be detected on the supporting seat 3 to rotate for a certain angle, and then the camera 17 is used for photographing the product 10 to be detected;
step four, repeating the step three until the product 10 to be detected is photographed in the whole circumferential direction;
and step five, processing the shot picture to obtain a fitting straight line of the fabric texture on the product, comparing the angle of the fitting straight line with a set threshold value, and outputting a detection result.
The elastic member 27 is a spring; two radial ball bearings are arranged in the upper part of the bearing seat 8, and at least one deep groove ball bearing is arranged in the lower part of the bearing seat 8; in step three, the rotating plate 2 simultaneously drives the cam 23 to rotate, and the cam 23 is kept jointed with the follow-up roller 24 under the action of the elastic piece 27, so that the movable plate 18 reciprocates along the linear guide rail 20.
Example 2: a cloth texture angle detection method based on machine vision is based on a detection device, wherein the detection device comprises a working substrate 1, a movable plate 18 movably mounted above the working substrate 1, a driving shaft 5, a rotating plate 2 and a lens 15, the rotating plate 2 is located above the movable plate 18 and connected with the upper end of the driving shaft 5, the lower end of the driving shaft 5 sequentially penetrates through the movable plate 18 and the working substrate 1 and is rotatably connected with the movable plate 18 through a bearing seat 8, and the lens 15 is mounted on the working substrate 1 and located on one side of the rotating plate 2;
the center of the rotating plate 2 is provided with a mounting hole for embedding the upper end of the driving shaft 5, the upper part of the driving shaft 5 is provided with a flange part 201 which extends outwards in the radial direction and is positioned below the rotating plate 2, the upper surface of the flange part 201 is connected with the lower surface of the rotating plate 2, and the lower surface of the flange part 201 is contacted with the upper end surface of the bearing seat 8;
a motor 4 is arranged below the movable plate 18, an output shaft of the motor 4 is connected with the lower end of the driving shaft 5 and is used for driving the driving shaft 5 and driving the rotating plate 2 to rotate, the motor 4 is arranged on the movable plate 18, a supporting seat 3 for mounting a product 10 to be detected is arranged on the rotating plate 2, a light source 16 is arranged between the lens 15 and the rotating plate 2, and a camera 17 is arranged at one end of the lens 15 opposite to the rotating plate 2, so that the camera 17, the lens 15, the light source 16 and the product 10 to be detected placed on the supporting seat 3 on the rotating plate 2 are positioned on the same straight line;
an adapter plate 19 is arranged between the operation substrate 1 and the movable plate 18, the lower surface of the movable plate 18 is in sliding connection with the upper surface of the adapter plate 19 through two linear guide rails 20 and a sliding block 21, a cam 23 is arranged on the lower surface of the rotating plate 2 and positioned on the outer side of the flange portion 201, the curve profile of the cam 23 is the same as the circumferential profile of the product 10 to be detected, and a follow-up roller 24 matched with the cam 23 is rotatably arranged on one side of the upper surface of the adapter plate 19;
two side end surfaces of the movable plate 18 are respectively provided with a first mounting column 25, the upper surface of the adapter plate 19 and the outer sides of the two linear guide rails 20 are respectively provided with a second mounting column 26 corresponding to the first mounting column 25, and the first mounting column 25 and the second mounting column 26 on the same side are connected through an elastic member 27;
the detection method comprises the following steps:
step one, mounting a product 10 to be detected on a supporting seat 3, and placing a rotating plate 2 at a zero position;
turning on the light source 16, and taking a picture of the product 10 to be detected by using the camera 17;
thirdly, the motor 4 drives the rotating plate 2 to drive the product 10 to be detected on the supporting seat 3 to rotate for a certain angle, and then the camera 17 is used for photographing the product 10 to be detected;
step four, repeating the step three until the product 10 to be detected is photographed in the whole circumferential direction;
and step five, processing the shot picture to obtain a fitting straight line of the fabric texture on the product, comparing the angle of the fitting straight line with a set threshold value, and outputting a detection result.
The work substrate 1 is mounted on a frame 28, and a protective cover 29 is provided outside the frame 28; a sensing transmitter 30 is installed on the side of the rotating plate 2, and a sensing receiver 31 matched with the sensing transmitter 30 is installed on the movable plate 18;
the lower surface of the movable plate 18 is connected with a mounting plate 22, a speed reducer 7 is mounted on the mounting plate 22, the output end of the motor 4 is mounted on the input end of the speed reducer 7, and the output end of the speed reducer 7 is connected with the lower end of the driving shaft 5 through a coupling 6.
When the cloth texture angle detection method based on machine vision is adopted, manual work is completely replaced by automatic rotation and shooting of a product, automatic detection of cloth texture position distribution on the product is achieved, the degree of automation is high, meanwhile, the distance between a to-be-shot area on the product and a camera is guaranteed to be constant, the shooting definition of the product at any angle can be guaranteed without focusing, the accuracy and the precision of detection are improved, time is saved, and the detection efficiency is improved.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and the purpose thereof is to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the protection scope of the present invention. All equivalent changes and modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.
Claims (6)
1. A cloth texture angle detection method based on machine vision is characterized by comprising the following steps: based on a detection device, the detection device comprises an operation substrate (1), a movable plate (18) movably mounted above the operation substrate (1), a driving shaft (5), a rotating plate (2) and a lens (15), wherein the rotating plate (2) is located above the movable plate (18) and connected with the upper end of the driving shaft (5), the lower end of the driving shaft (5) sequentially penetrates through the movable plate (18) and the operation substrate (1) and is rotatably connected with the movable plate (18) through a bearing seat (8), and the lens (15) is mounted on the operation substrate (1) and located on one side of the rotating plate (2);
the center of the rotating plate (2) is provided with a mounting hole for embedding the upper end of the driving shaft (5), the upper part of the driving shaft (5) is provided with a flange part (201) which extends outwards in the radial direction and is positioned below the rotating plate (2), the upper surface of the flange part (201) is connected with the lower surface of the rotating plate (2), and the lower surface of the flange part (201) is contacted with the upper end surface of the bearing seat (8);
a motor (4) is arranged below the movable plate (18), an output shaft of the motor (4) is connected with the lower end of the driving shaft (5) and used for driving the driving shaft (5) and driving the rotating plate (2) to rotate, the motor (4) is arranged on the movable plate (18), a supporting seat (3) used for installing a product (10) to be detected is arranged on the rotating plate (2), a light source (16) is arranged between the lens (15) and the rotating plate (2), and a camera (17) is arranged at one end of the lens (15) opposite to the rotating plate (2), so that the camera (17), the lens (15), the light source (16) and the product (10) to be detected placed on the supporting seat (3) on the rotating plate (2) are positioned on the same straight line;
an adapter plate (19) is arranged between the operation substrate (1) and the movable plate (18), the lower surface of the movable plate (18) is connected with the upper surface of the adapter plate (19) in a sliding mode through two linear guide rails (20) and a sliding block (21), a cam (23) is installed on the lower surface of the rotating plate (2) and located on the outer side of the flange portion (201), the curve profile of the cam (23) is the same as the circumferential profile of the product (10) to be detected, and a follow-up roller (24) matched with the cam (23) is installed on one side of the upper surface of the adapter plate (19) in a rotating mode;
two side end surfaces of the movable plate (18) are respectively provided with a first mounting column (25), the upper surface of the adapter plate (19) and the outer sides of the two linear guide rails (20) are respectively provided with a second mounting column (26) corresponding to the first mounting column (25), and the first mounting column (25) and the second mounting column (26) which are positioned on the same side are connected through an elastic piece (27);
the detection method comprises the following steps:
step one, mounting a product (10) to be detected on a supporting seat (3), and placing a rotating plate (2) at a zero position;
turning on a light source (16), and taking a picture of the product (10) to be detected by using a camera (17);
thirdly, the motor (4) drives the rotating plate (2) to drive the product (10) to be detected on the supporting seat (3) to rotate for a certain angle, and then the camera (17) is used for photographing the product (10) to be detected;
step four, repeating the step three until the product (10) to be detected is photographed in the whole circumferential direction;
and step five, processing the shot picture to obtain a fitting straight line of the fabric texture on the product, comparing the angle of the fitting straight line with a set threshold value, and outputting a detection result.
2. The fabric texture angle detection method based on machine vision as claimed in claim 1, characterized in that: the elastic piece (27) is a spring.
3. The fabric texture angle detection method based on machine vision as claimed in claim 1, characterized in that: two radial ball bearings are arranged in the upper portion of the bearing seat (8), and at least one deep groove ball bearing is arranged in the lower portion of the bearing seat (8).
4. The fabric texture angle detection method based on machine vision as claimed in claim 1, characterized in that: in the third step, the rotating plate (2) drives the cam (23) to rotate at the same time, and the cam (23) is kept attached to the follow-up roller (24) under the action of the elastic piece (27), so that the movable plate (18) reciprocates along the linear guide rail (20).
5. The fabric texture angle detection method based on machine vision as claimed in claim 1, characterized in that: the operation substrate (1) is arranged on a rack (28), and a protective cover (29) is arranged on the outer side of the rack (28).
6. The fabric texture angle detection method based on machine vision as claimed in claim 1, characterized in that: a sensing transmitter (30) is installed on the side edge of the rotating plate (2), and a sensing receiver (31) matched with the sensing transmitter (30) is installed on the movable plate (18).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010701341.7A CN111735767A (en) | 2020-07-20 | 2020-07-20 | Cloth texture angle detection method based on machine vision |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010701341.7A CN111735767A (en) | 2020-07-20 | 2020-07-20 | Cloth texture angle detection method based on machine vision |
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| CN111735767A true CN111735767A (en) | 2020-10-02 |
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| CN202010701341.7A Pending CN111735767A (en) | 2020-07-20 | 2020-07-20 | Cloth texture angle detection method based on machine vision |
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| CN107121089A (en) * | 2017-05-05 | 2017-09-01 | 哈尔滨理工大学 | A kind of multifunctional rotating device shot for machine vision |
| CN207557140U (en) * | 2017-09-02 | 2018-06-29 | 重庆友好活塞有限公司 | Piston face defect detecting device |
| CN108387515A (en) * | 2017-02-03 | 2018-08-10 | 日本电产株式会社 | Appearance inspection device |
| CN109596624A (en) * | 2018-12-24 | 2019-04-09 | 欣辰卓锐（苏州）智能装备有限公司 | A kind of rotatable multiangle visual detection device |
| CN110044909A (en) * | 2019-05-05 | 2019-07-23 | 桂林电子科技大学 | A kind of rotor welding point defect detection device and method based on image procossing |
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2020
- 2020-07-20 CN CN202010701341.7A patent/CN111735767A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108387515A (en) * | 2017-02-03 | 2018-08-10 | 日本电产株式会社 | Appearance inspection device |
| CN107121089A (en) * | 2017-05-05 | 2017-09-01 | 哈尔滨理工大学 | A kind of multifunctional rotating device shot for machine vision |
| CN207557140U (en) * | 2017-09-02 | 2018-06-29 | 重庆友好活塞有限公司 | Piston face defect detecting device |
| CN109596624A (en) * | 2018-12-24 | 2019-04-09 | 欣辰卓锐（苏州）智能装备有限公司 | A kind of rotatable multiangle visual detection device |
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