CN112710664A - Soybean grain non-adhesion image acquisition method and system based on special-shaped tube array - Google Patents
Soybean grain non-adhesion image acquisition method and system based on special-shaped tube array Download PDFInfo
- Publication number
- CN112710664A CN112710664A CN202011462114.XA CN202011462114A CN112710664A CN 112710664 A CN112710664 A CN 112710664A CN 202011462114 A CN202011462114 A CN 202011462114A CN 112710664 A CN112710664 A CN 112710664A
- Authority
- CN
- China
- Prior art keywords
- special
- soybeans
- soybean
- conveyor belt
- shaped pipe
- 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
- 235000010469 Glycine max Nutrition 0.000 title claims abstract description 127
- 244000068988 Glycine max Species 0.000 title claims abstract description 127
- 238000000034 method Methods 0.000 title claims abstract description 16
- 239000002245 particle Substances 0.000 claims abstract description 8
- 238000004458 analytical method Methods 0.000 claims abstract description 4
- 239000000523 sample Substances 0.000 claims description 36
- 238000001514 detection method Methods 0.000 claims description 10
- 238000000605 extraction Methods 0.000 claims description 5
- 239000002184 metal Substances 0.000 claims description 5
- 239000000853 adhesive Substances 0.000 claims description 3
- 230000001070 adhesive effect Effects 0.000 claims description 3
- 244000309464 bull Species 0.000 claims 4
- 238000005096 rolling process Methods 0.000 description 4
- 230000000877 morphologic effect Effects 0.000 description 3
- 238000013441 quality evaluation Methods 0.000 description 3
- 235000013305 food Nutrition 0.000 description 2
- 239000008187 granular material Substances 0.000 description 2
- 241000238631 Hexapoda Species 0.000 description 1
- 241000607479 Yersinia pestis Species 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 239000002932 luster Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Images
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
- G01N21/85—Investigating moving fluids or granular solids
-
- 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
-
- 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
- G01N2021/845—Objects on a conveyor
-
- 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
- G01N21/85—Investigating moving fluids or granular solids
- G01N2021/8592—Grain or other flowing solid samples
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention particularly relates to a soybean non-adhesion image acquisition method and system based on a special-shaped tube array, which comprises a conveyor belt device and a computer, wherein the middle part of the front side surface of the conveyor belt device is provided with a controller, the right side of the conveyor belt device is provided with a feeding mechanism, and the left side of the conveyor belt device is provided with a camera device; uniformly distributing soybeans on a conveyor belt device through a feeding mechanism, shooting the soybeans through a camera device, and transmitting shot images to a computer; the invention can acquire uniformly distributed high-precision soybean non-adhesion particle shape images in real time, conveniently observe the appearance shape and characteristics of each soybean, accurately describe the appearance shape characteristics of each soybean, and conveniently extract and detect the soybean shape characteristics for analysis in the future.
Description
Technical Field
The invention belongs to the field of soybean appearance quality detection, and particularly relates to a soybean non-adhesion image acquisition method and system based on a special-shaped tube array.
Background
The quality of grain appearance is an important factor in determining price and use. However, the traditional foreign methods rely on the subjective judgment of the human eye on the true appearance of soybeans. And depending on the food quality standard of a department, or a conveyor belt is used but a camera is not used, so that the detection speed can be accelerated, but the food cannot be distinguished by human eyes, and if the camera is not used, the limit of improving the detection speed cannot be broken through. In some parts of America, grains are directly arranged manually and then are directly observed by eyes, and finally, the detection standard of the grain quality is not available even, so that the efficiency is lower, and the method for judging by the eyes has low requirement on objective accuracy, wastes time and labor and has low efficiency.
China is a world-wide agricultural kingdom, and a large number of soybeans are imported and exported every year. The size, roughness and roundness of soybeans are physical indexes for evaluating the quality of soybeans, and actually, the change of the color and luster and the deformation of the appearance of the soybeans can be mostly attributed to insect pests and natural disasters. The quality of soybeans is an important factor in determining their price and use. Firstly, subjective evaluation is formed on grains, and then the industry standard is compared. Although the method is simple, the time consumption is long, the objectivity is lacked, the precision is not high, and the time and the labor are wasted.
In order to improve the efficiency and effectiveness of soybean surface quality evaluation, a soybean image acquisition device is needed to replace human eyes to obtain soybean object images, and the limit of manpower is broken through. Thereby being capable of making good bedding for analyzing soybeans by using image processing and analysis methods more effectively.
Aiming at the technical problems, firstly, a method and a system for acquiring non-adhesion images of soybean grains based on a special-shaped tube array are provided, fundamental research and technical exploration which have important significance on the application of soybeans in the technical field of automatic detection of grain quality are carried out, and an image acquisition device is used for replacing human eyes to acquire real images of soybeans, so that the method and the system are comfortable, quick and labor-saving; improving the efficiency and effectiveness of soybean surface quality evaluation.
Disclosure of Invention
The invention aims to provide a method and a system for acquiring non-adhesive soybean grain images based on a special-shaped pipe array.
The invention provides a soybean non-adhesion image acquisition system based on a special-shaped tube array, which comprises a conveyor belt device and a computer, wherein a controller is arranged in the middle of the front side surface of the conveyor belt device, a feeding mechanism is arranged on the right side of the conveyor belt device, a camera device is arranged on the left side of the conveyor belt device, and a containing box is arranged below the left end of the conveyor belt device.
Further, the feeding mechanism comprises a metal probe, a special-shaped pipe, a funnel, a rack, a gear, a rotating rod, a motor, a left support plate, a right support plate, a transverse plate and a vertical plate, wherein the transverse plate is arranged in the middle between the left support plate and the right support plate, the vertical plate is arranged on the upper portion between the left support plate and the right support plate, the motor is fixed on the outer side surface of the left support plate, the rotating rod is fixedly connected with the output end of the motor, the rotating rod can rotatably penetrate through the left support plate and the right support plate, a plurality of gears are uniformly sleeved on the rotating rod, a plurality of guide grooves are formed in the vertical plate, the rack can be arranged in the guide grooves in a vertically sliding mode, the lower end of the; the sizes of the soybean grains are slightly different according to different varieties of soybeans, and the inner diameter of the special-shaped pipe is larger than the diameter of a single soybean and smaller than the diameters of two soybeans according to the average diameter of the soybeans to be detected.
Furthermore, the special pipe is an S-shaped pipeline, and the uppermost end of the special pipe is horizontal to the upper end of the funnel.
Furthermore, the rack and the gear are meshed with each other.
Furthermore, a first bearing is arranged between the rotating rod and the left support plate, and a second bearing is arranged between the rotating rod and the right support plate.
Furthermore, camera device including camera mount, camera mount fixes on conveyor means left side, and the camera is fixed in camera mount upper end, the camera can shoot the conveyor upper surface.
The invention also provides a soybean non-adhesion image acquisition method based on the special-shaped tube array, which comprises the following steps:
s1, placing the soybeans in a funnel, enabling a part of the soybeans to enter a special-shaped pipe, and controlling a conveyor belt to rotate through a controller;
s2: the motor is controlled by the controller to drive the gear to rotate at a constant speed, the gear drives the rack to move downwards, the rack drives the probe rod to move downwards into the special-shaped pipe, and meanwhile, soybeans in the special-shaped pipe are extruded to be sequentially discharged out of the special-shaped pipe from the highest end of the special-shaped pipe;
s3: soybeans discharged from the special-shaped pipe fall onto a conveyor belt device, the upper surface of the conveyor belt is a black rough surface, free rolling of the soybeans on the conveyor belt is avoided, and because the conveyor belt on the conveyor belt device rotates all the time, distances among the soybeans falling on the conveyor belt in sequence are approximately the same, and a uniformly distributed soybean array is formed on the conveyor belt;
s4: when the conveyor belt drives the soybeans to move to the lower part of the camera device, the soybeans are shot through the camera; the shot soybeans fall into the containing box under the driving of the conveying belt;
s5: the camera is connected with the computer, transmits and stores the soybean grain image to the computer, and the staff in later period can observe the appearance and the characteristic of each grain conveniently, and the extraction and the detection of the soybean grain morphological characteristic can be analyzed conveniently in the future.
The step S2 includes:
s21: the controller controls the motor to drive the gear to rotate at a constant speed, the motor drives the rotating rod to rotate at a constant speed, and the length of the probe rod and the length of the rack are known, so that the number of rotating turns of the motor is set by the controller, and the falling depth of the probe rod can be accurately controlled;
s22: the gear on the rotating rod drives the rack to move downwards, the rack drives the probe rod to move downwards into the special-shaped pipe, and meanwhile, soybeans in the special-shaped pipe are extruded to be sequentially discharged out of the special-shaped pipe from the highest end of the special-shaped pipe;
s23: when the probe rod moves downwards to a set height, the controller controls the motor to overturn to drive the probe rod to move upwards for resetting, at the moment, the probe rod moves out of the special-shaped pipe, and the soybeans in the funnel enter the special-shaped pipe; the soybeans can be uniformly scattered on the conveyor belt device again by repeating the steps.
According to the method and the system for acquiring the non-adhesion image of the soybean grains based on the special-shaped tube array, the controller controls the motor and the conveyor belt to operate, the soybeans are placed in the funnel, a part of the soybeans enter the special-shaped tube, and the controller controls the conveyor belt to rotate; the motor is controlled by the controller to drive the gear to rotate at a constant speed, the motor drives the rotating rod to rotate at a constant speed, and the rotating number of turns of the motor is set by the controller due to the fact that the length of the feeler lever and the length of the rack can be known, so that the falling depth of the feeler lever can be accurately controlled. The gear on the rotating rod drives the rack to move downwards, the rack drives the probe rod to move downwards into the special-shaped pipe, and meanwhile, soybeans in the special-shaped pipe are extruded to be sequentially discharged out of the special-shaped pipe from the highest end of the special-shaped pipe; when the probe rod moves downwards to a set height, the controller controls the motor to overturn to drive the probe rod to move upwards for resetting, at the moment, the probe rod moves out of the special-shaped pipe, and the soybeans in the funnel enter the special-shaped pipe; the soybeans can be uniformly scattered on the conveyor belt device again by repeating the steps.
Soybeans discharged from the special-shaped pipe fall onto a conveyor belt device, the upper surface of the conveyor belt is a black rough surface, free rolling of the soybeans on the conveyor belt is avoided, and because the conveyor belt on the conveyor belt device rotates all the time, distances among the soybeans falling on the conveyor belt in sequence are approximately the same, and a uniformly distributed soybean array is formed on the conveyor belt; when the conveyor belt drives the soybeans to move to the lower part of the camera device, the soybeans are shot through the camera; the shot soybeans fall into the containing box under the driving of the conveying belt; the camera is connected with the computer, transmits and stores the soybean grain image to the computer, and the staff in later period can observe the appearance and the characteristic of each grain conveniently, and the extraction and the detection of the soybean grain morphological characteristic can be analyzed conveniently in the future.
As a world large country, we import and export a lot of soybeans. The size, roughness and roundness of soybeans are physical indexes for measuring the quality of soybeans. The device is used for replacing human eyes to obtain the real image of the soybean, and is comfortable, quick and labor-saving; can improve the efficiency and effectiveness of soybean surface quality evaluation.
Drawings
Fig. 1 is a perspective view of a non-sticking image acquisition system for soybean granules based on a special-shaped tube array according to the present invention.
Fig. 2 is a schematic structural diagram of a feeding mechanism of a soybean non-adhesion image acquisition system based on a special-shaped pipe array according to the present invention.
Fig. 3 is a schematic view of a partial structure of a feeding mechanism in a soybean non-adhesion image acquisition system based on a special-shaped tube array according to the present invention.
Fig. 4 is a partial sectional view of a feeding mechanism in a soybean non-stick image acquisition system based on a special pipe array according to the present invention.
Description of reference numerals:
1. the automatic feeding device comprises a computer, a storage box 2, a conveying belt device 3, a controller 4, a feeding mechanism 5, a right supporting plate 501, a left supporting plate 502, a left supporting plate 503, a motor 504, a special-shaped pipe 505, a hopper 506, a transverse plate 507, a metal probe 508, a gear 509, a rotating rod 510, a bearing II, a bearing 511, a vertical plate 512, a rack 513, a bearing I and a bearing 6.
Detailed Description
The feeding mechanism 5 comprises a metal probe 507, a special-shaped pipe 504, a funnel 505, a rack 512, a gear 508, a rotating rod 509, a motor 503, a left supporting plate 502, a right supporting plate 501, a transverse plate 506 and a vertical plate 511, wherein the motor 503 is preferably a Serrel 42HS08 stepping motor 503, the stepping motor 503 can realize accurate rotation, the transverse plate 506 is arranged in the middle between the left supporting plate 502 and the right supporting plate 501, the vertical plate 511 is arranged at the upper part between the left supporting plate 502 and the right supporting plate 501, the motor 503 is fixed on the outer side surface of the left supporting plate 502, the rotating rod 509 is fixedly connected with the output end of the motor 503, the rotating rod 509 rotatably penetrates through the left supporting plate 502 and the right supporting plate 501, the rotating rod 509 is uniformly sleeved with a plurality of gears 508, a plurality of guide grooves are formed in the vertical plate 511, the; the lower end of the rack 512 is fixedly connected with a metal probe 507, a plurality of funnels 505 are uniformly distributed on the transverse plate 506, the lower end of each funnel 505 is fixedly connected with a special-shaped pipe, the special-shaped pipe 504 is an S-shaped pipeline, and the uppermost end of the special-shaped pipe 504 is horizontal to the upper end of each funnel 505; a first bearing 513 is arranged between the rotating rod 509 and the left support plate 502, and a second bearing 510 is arranged between the rotating rod 509 and the right support plate 501.
According to the method and the system for acquiring the non-adhesion image of the soybean particles based on the special-shaped tube array, the controller 4 is used for controlling the motor 503 and the conveyor belt to operate, the soybeans are placed in the funnel 505, a part of the soybeans enter the special-shaped tube, and the controller 4 is used for controlling the conveyor belt to rotate; the controller 4 controls the motor 503 to drive the gear 508 to rotate at a constant speed, the motor 503 drives the rotating rod 509 to rotate at a constant speed, and the length of the probe rod and the rack 512 can be known, so that the number of rotation turns of the motor 503 is set by the controller 4, and the falling depth of the probe rod can be accurately controlled. The gear 508 on the rotating rod 509 drives the rack 512 to move downwards, the rack 512 drives the probe rod to move downwards into the special-shaped pipe 504, and meanwhile, soybeans in the special-shaped pipe are extruded to be sequentially discharged out of the special-shaped pipe 504 from the highest end of the special-shaped pipe; when the probe rod moves downwards to a set height, the controller 4 controls the motor 503 to overturn to drive the probe rod to move upwards for resetting, at the moment, the probe rod moves out of the special-shaped pipe, and the soybeans in the funnel 505 enter the special-shaped pipe 504; the soybeans can be uniformly scattered on the conveyor belt device 3 again by repeating the steps.
Soybeans discharged from the special-shaped pipe 504 fall onto the conveyor belt device 3, the upper surface of the conveyor belt is a black rough surface, free rolling of soybeans on the conveyor belt is avoided, the distance between soybeans sequentially falling on the conveyor belt is approximately the same as that between soybeans sequentially falling on the conveyor belt due to the fact that the conveyor belt on the conveyor belt device 3 rotates all the time, and a uniformly distributed soybean array is formed on the conveyor belt; when the conveyor belt drives the soybeans to move to the position below the camera device 6, the soybeans are shot through the camera; the shot soybeans fall into the containing box 2 under the driving of the conveying belt; the camera is connected with computer 1, transmits the soybean grain image and stores to computer 1, makes things convenient for later stage staff to observe the outward appearance form and the characteristic of each grain, is convenient for in the future to the extraction and the detection of soybean grain form characteristic carry out the analysis.
s1, placing the soybeans in a funnel, enabling a part of the soybeans to enter a special-shaped pipe, and controlling a conveyor belt to rotate through a controller;
s2: the motor is controlled by the controller to drive the gear to rotate at a constant speed, the gear drives the rack to move downwards, the rack drives the probe rod to move downwards into the special-shaped pipe, and meanwhile, soybeans in the special-shaped pipe are extruded to be sequentially discharged out of the special-shaped pipe from the highest end of the special-shaped pipe;
s21: the controller controls the motor to drive the gear to rotate at a constant speed, the motor drives the rotating rod to rotate at a constant speed, and the length of the probe rod and the length of the rack are known, so that the number of rotating turns of the motor is set by the controller, and the falling depth of the probe rod can be accurately controlled;
s22: the gear on the rotating rod drives the rack to move downwards, the rack drives the probe rod to move downwards into the special-shaped pipe, and meanwhile, soybeans in the special-shaped pipe are extruded to be sequentially discharged out of the special-shaped pipe from the highest end of the special-shaped pipe;
s23: when the probe rod moves downwards to a set height, the controller controls the motor to overturn to drive the probe rod to move upwards for resetting, at the moment, the probe rod moves out of the special-shaped pipe, and the soybeans in the funnel enter the special-shaped pipe; the soybeans can be uniformly scattered on the conveyor belt device again by repeating the steps.
S3: soybeans discharged from the special-shaped pipe fall onto a conveyor belt device, the upper surface of the conveyor belt is a black rough surface, free rolling of the soybeans on the conveyor belt is avoided, and because the conveyor belt on the conveyor belt device rotates all the time, distances among the soybeans falling on the conveyor belt in sequence are approximately the same, and a uniformly distributed soybean array is formed on the conveyor belt;
s4: when the conveyor belt drives the soybeans to move to the lower part of the camera device, the soybeans are shot through the camera; the shot soybeans fall into the containing box under the driving of the conveying belt;
s5: the camera is connected with the computer, transmits and stores the soybean grain image to the computer, and the staff in later period can observe the appearance and the characteristic of each grain conveniently, and the extraction and the detection of the soybean grain morphological characteristic can be analyzed conveniently in the future.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention, and it will be understood by those skilled in the art that various changes and modifications may be made therein without departing from the spirit and scope of the invention.
Claims (8)
1. Soybean grain non-adhesion image acquisition system based on special pipe array, including conveyer belt device and computer, its characterized in that: the middle part of the front side surface of the conveying belt device is provided with a controller, the right side of the conveying belt device is provided with a feeding mechanism, the left side of the conveying belt device is provided with a camera device, and a containing box is arranged below the left end of the conveying belt device.
2. The non-stick image acquisition system for soybean particles based on a profiled tube array as claimed in claim 1, wherein: feed mechanism including the metal probe, the mechanical tubes, the funnel, the rack, the gear, the bull stick, including a motor, an end cap, a controller, and a cover plate, the left support plate, the right branch fagging, the diaphragm, the riser, the middle part is provided with the diaphragm between left support plate and the right branch fagging, upper portion is provided with the riser between left support plate and the right branch fagging, the motor is fixed at the left support plate lateral surface, motor output end fixedly connected with bull stick, rotatable left support plate and the right branch fagging of running through of bull stick, even cover is equipped with a plurality of gears on the bull stick, a plurality of guide slots have been seted up on the riser, gliding rack that is provided with about in the guide slot, rack.
3. The non-stick image acquisition system for soybean particles based on a profiled tube array as claimed in claim 2, wherein: the special pipe is an S-shaped pipeline, and the uppermost end of the special pipe is horizontal to the upper end of the funnel.
4. The non-stick image acquisition system for soybean particles based on a profiled tube array as claimed in claim 2, wherein: the rack and the gear are meshed with each other.
5. The non-stick image acquisition system for soybean particles based on a profiled tube array as claimed in claim 2, wherein: a bearing I is arranged between the rotating rod and the left support plate, and a bearing II is arranged between the rotating rod and the right support plate.
6. The non-stick image acquisition system for soybean particles based on a profiled tube array as claimed in claim 1, wherein: the camera device comprises a camera support and a camera, wherein the camera support is fixed on the left side of the conveyor belt device, and the camera is fixed at the upper end of the camera support.
7. A soybean non-adhesion image acquisition method based on a special-shaped tube array is characterized by comprising the following steps:
s1, placing the soybeans in a funnel, enabling a part of the soybeans to enter a special-shaped pipe, and controlling a conveyor belt to rotate through a controller;
s2: the motor is controlled by the controller to drive the gear to rotate at a constant speed, the gear drives the rack to move downwards, the rack drives the probe rod to move downwards into the special-shaped pipe, and meanwhile, soybeans in the special-shaped pipe are extruded to be sequentially discharged out of the special-shaped pipe from the highest end of the special-shaped pipe;
s3: soybeans discharged from the special-shaped pipe fall onto the conveyor belt device, and because the conveyor belts on the conveyor belt device rotate all the time, the distances between the soybeans falling onto the conveyor belts in sequence are approximately the same, and a uniformly distributed soybean array is formed on the conveyor belts;
s4: when the conveyor belt drives the soybeans to move to the lower part of the camera device, the soybeans are shot through the camera; the shot soybeans fall into the containing box under the driving of the conveying belt;
s5: the camera is connected with the computer, transmits and stores the soybean grain image to the computer, makes things convenient for later stage staff to observe the outward appearance form and the characteristic of each grain, is convenient for in the future to carry out the analysis to the extraction and the detection of soybean form characteristic.
8. The method for obtaining non-adhesive image of soybean particles based on profiled tube array as claimed in claim 7, wherein said step S2 includes:
s21: the controller controls the motor to drive the gear to rotate at a constant speed, the motor drives the rotating rod to rotate at a constant speed, and the length of the probe rod and the length of the rack are known, so that the number of rotating turns of the motor is set by the controller, and the falling depth of the probe rod can be accurately controlled;
s22: the gear on the rotating rod drives the rack to move downwards, the rack drives the probe rod to move downwards into the special-shaped pipe, and meanwhile, soybeans in the special-shaped pipe are extruded to be sequentially discharged out of the special-shaped pipe from the highest end of the special-shaped pipe;
s23: when the probe rod moves downwards to a set height, the controller controls the motor to overturn to drive the probe rod to move upwards for resetting, at the moment, the probe rod moves out of the special-shaped pipe, and the soybeans in the funnel enter the special-shaped pipe; the soybeans can be uniformly scattered on the conveyor belt device again by repeating the steps.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011462114.XA CN112710664B (en) | 2020-12-14 | 2020-12-14 | Soybean grain non-adhesion image acquisition method and system based on special-shaped pipe array |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011462114.XA CN112710664B (en) | 2020-12-14 | 2020-12-14 | Soybean grain non-adhesion image acquisition method and system based on special-shaped pipe array |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112710664A true CN112710664A (en) | 2021-04-27 |
CN112710664B CN112710664B (en) | 2024-07-02 |
Family
ID=75541808
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011462114.XA Active CN112710664B (en) | 2020-12-14 | 2020-12-14 | Soybean grain non-adhesion image acquisition method and system based on special-shaped pipe array |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112710664B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115815148A (en) * | 2023-02-17 | 2023-03-21 | 绵阳师范学院 | Multistage dry-type separator of moss tea tealeaves |
Citations (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1986000568A1 (en) * | 1984-07-17 | 1986-01-30 | Automatik Apparate-Maschinenbau Gmbh | Installation for continuously supplying fractionated solid materials to a treatment machine |
JPH01312447A (en) * | 1988-06-10 | 1989-12-18 | Satake Eng Co Ltd | Method for judging quality of rice grain |
US5647805A (en) * | 1996-04-22 | 1997-07-15 | Tarbox, Jr.; Robert S. | Golf teeing device |
JP2001272354A (en) * | 2000-03-27 | 2001-10-05 | Shimadzu Corp | Defect inspecting apparatus |
DE10161591A1 (en) * | 2001-12-14 | 2003-06-26 | Rolf Hessenbruch | Automatic changeover of granules in hoppers on plastics processing machines involves extraction of granules until a sensor indicates a specific level in hoppers and then addition of new granules |
US20040151360A1 (en) * | 2001-07-02 | 2004-08-05 | Eric Pirard | Method and apparatus for measuring particles by image analysis |
US20050041774A1 (en) * | 2003-04-16 | 2005-02-24 | Katsumi Saitoh | Particulate matter analyzer, collecting filter and system for analyzing and collecting samples from fluids |
US20050082207A1 (en) * | 2003-09-23 | 2005-04-21 | Deppermann Kevin L. | High throughput automated seed analysis system |
CN2724862Y (en) * | 2004-09-20 | 2005-09-14 | 中国农业大学 | Automatic apparatus for seed selection |
US20070209776A1 (en) * | 2004-10-15 | 2007-09-13 | Commissariat A L'energie Atomique | Method and device for continuously producing glass-sheathed metal wires by supplying metal particles |
CN101087663A (en) * | 2004-08-13 | 2007-12-12 | 明尼苏达大学评议会 | Fines removal apparatus and methods/systems regarding same |
CN202024730U (en) * | 2011-03-18 | 2011-11-02 | 青岛农业大学 | Exterior quality detection device for pome |
CN202021164U (en) * | 2011-03-18 | 2011-11-02 | 青岛农业大学 | Peanut exterior quality detecting and sorting device |
CN103394471A (en) * | 2013-08-09 | 2013-11-20 | 中国农业大学 | Fast on-line detecting and screening system for mildewed grains |
CN204101473U (en) * | 2014-10-21 | 2015-01-14 | 无锡明珠钢球有限公司 | Steel ball detection device |
CN205339842U (en) * | 2016-02-01 | 2016-06-29 | 西安交通大学第一附属医院 | Medical disinfection stick |
CN205861536U (en) * | 2016-05-26 | 2017-01-04 | 重庆钢铁(集团)有限责任公司 | A kind of Tube heating furnace machine feed unit |
CN106769706A (en) * | 2016-11-22 | 2017-05-31 | 中国核动力研究设计院 | A kind of automatic conveyor and automatic detecting platform of nuclear fuel micro particle |
CN206573495U (en) * | 2017-01-09 | 2017-10-20 | 华中农业大学 | A kind of sieve damage detection device based on linear array optical imagery technology |
CN208459289U (en) * | 2018-08-12 | 2019-02-01 | 扬州大学 | It is a kind of suitable for the fusion machine vision of biological quality detection and the device of CAN bus |
CN110125040A (en) * | 2019-04-02 | 2019-08-16 | 迩言(上海)科技有限公司 | A kind of grain sense organ identification system |
CN110348349A (en) * | 2019-07-01 | 2019-10-18 | 河南牧业经济学院 | A kind of method and system collected, analyze pig behavior video data |
CN110575973A (en) * | 2019-10-21 | 2019-12-17 | 台州学院 | crop seed quality detection and screening system |
CN210090320U (en) * | 2019-04-24 | 2020-02-18 | 中国农业科学院深圳农业基因组研究所 | Image acquisition device that weed seed detected |
CN210906414U (en) * | 2019-07-30 | 2020-07-03 | 迁安信润和机械设备有限公司 | Automatic ball feeding machine for ball mill |
CN112415009A (en) * | 2020-12-14 | 2021-02-26 | 河南牧业经济学院 | Wheat grain non-adhesion image acquisition method and system based on sticky dot matrix |
-
2020
- 2020-12-14 CN CN202011462114.XA patent/CN112710664B/en active Active
Patent Citations (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1986000568A1 (en) * | 1984-07-17 | 1986-01-30 | Automatik Apparate-Maschinenbau Gmbh | Installation for continuously supplying fractionated solid materials to a treatment machine |
JPH01312447A (en) * | 1988-06-10 | 1989-12-18 | Satake Eng Co Ltd | Method for judging quality of rice grain |
US5647805A (en) * | 1996-04-22 | 1997-07-15 | Tarbox, Jr.; Robert S. | Golf teeing device |
JP2001272354A (en) * | 2000-03-27 | 2001-10-05 | Shimadzu Corp | Defect inspecting apparatus |
US20040151360A1 (en) * | 2001-07-02 | 2004-08-05 | Eric Pirard | Method and apparatus for measuring particles by image analysis |
DE10161591A1 (en) * | 2001-12-14 | 2003-06-26 | Rolf Hessenbruch | Automatic changeover of granules in hoppers on plastics processing machines involves extraction of granules until a sensor indicates a specific level in hoppers and then addition of new granules |
US20050041774A1 (en) * | 2003-04-16 | 2005-02-24 | Katsumi Saitoh | Particulate matter analyzer, collecting filter and system for analyzing and collecting samples from fluids |
US20050082207A1 (en) * | 2003-09-23 | 2005-04-21 | Deppermann Kevin L. | High throughput automated seed analysis system |
CN101087663A (en) * | 2004-08-13 | 2007-12-12 | 明尼苏达大学评议会 | Fines removal apparatus and methods/systems regarding same |
CN2724862Y (en) * | 2004-09-20 | 2005-09-14 | 中国农业大学 | Automatic apparatus for seed selection |
US20070209776A1 (en) * | 2004-10-15 | 2007-09-13 | Commissariat A L'energie Atomique | Method and device for continuously producing glass-sheathed metal wires by supplying metal particles |
CN202021164U (en) * | 2011-03-18 | 2011-11-02 | 青岛农业大学 | Peanut exterior quality detecting and sorting device |
CN202024730U (en) * | 2011-03-18 | 2011-11-02 | 青岛农业大学 | Exterior quality detection device for pome |
CN103394471A (en) * | 2013-08-09 | 2013-11-20 | 中国农业大学 | Fast on-line detecting and screening system for mildewed grains |
CN204101473U (en) * | 2014-10-21 | 2015-01-14 | 无锡明珠钢球有限公司 | Steel ball detection device |
CN205339842U (en) * | 2016-02-01 | 2016-06-29 | 西安交通大学第一附属医院 | Medical disinfection stick |
CN205861536U (en) * | 2016-05-26 | 2017-01-04 | 重庆钢铁(集团)有限责任公司 | A kind of Tube heating furnace machine feed unit |
CN106769706A (en) * | 2016-11-22 | 2017-05-31 | 中国核动力研究设计院 | A kind of automatic conveyor and automatic detecting platform of nuclear fuel micro particle |
CN206573495U (en) * | 2017-01-09 | 2017-10-20 | 华中农业大学 | A kind of sieve damage detection device based on linear array optical imagery technology |
CN208459289U (en) * | 2018-08-12 | 2019-02-01 | 扬州大学 | It is a kind of suitable for the fusion machine vision of biological quality detection and the device of CAN bus |
CN110125040A (en) * | 2019-04-02 | 2019-08-16 | 迩言(上海)科技有限公司 | A kind of grain sense organ identification system |
CN210090320U (en) * | 2019-04-24 | 2020-02-18 | 中国农业科学院深圳农业基因组研究所 | Image acquisition device that weed seed detected |
CN110348349A (en) * | 2019-07-01 | 2019-10-18 | 河南牧业经济学院 | A kind of method and system collected, analyze pig behavior video data |
CN210906414U (en) * | 2019-07-30 | 2020-07-03 | 迁安信润和机械设备有限公司 | Automatic ball feeding machine for ball mill |
CN110575973A (en) * | 2019-10-21 | 2019-12-17 | 台州学院 | crop seed quality detection and screening system |
CN112415009A (en) * | 2020-12-14 | 2021-02-26 | 河南牧业经济学院 | Wheat grain non-adhesion image acquisition method and system based on sticky dot matrix |
Non-Patent Citations (1)
Title |
---|
孙江宏;徐小力;张晗;宋鹏;黄小龙;: "玉米籽粒自动测量系统分析与设计", 农业装备与车辆工程, no. 04, 10 April 2017 (2017-04-10), pages 25 - 28 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115815148A (en) * | 2023-02-17 | 2023-03-21 | 绵阳师范学院 | Multistage dry-type separator of moss tea tealeaves |
CN115815148B (en) * | 2023-02-17 | 2023-04-28 | 绵阳师范学院 | Multistage dry-type separator of tongue tea tealeaves |
Also Published As
Publication number | Publication date |
---|---|
CN112710664B (en) | 2024-07-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN101905215B (en) | Digitalized paddy rice seed testing machine | |
CN203695448U (en) | Sorting machine | |
CN111054645B (en) | Badminton detection machine | |
CN112461135B (en) | Dendrobium growth parameter nondestructive online measuring device and measuring method thereof | |
CN202591136U (en) | Automatic walnut sorting machine based on relative specific weight | |
CN107350168A (en) | A kind of potato Fast nondestructive evaluation self-grading device and method | |
CN101339117B (en) | Rice parameter automatic measuring equipment and method | |
CN110057836A (en) | A kind of cylinder type hollow pipe visual detection equipment and its detection method | |
CN206652726U (en) | Fish automatic measuring and sorting unit | |
CN102809357B (en) | Automatic measuring and analyzing instrument for crop leaf area information | |
CN111380813B (en) | Portable wheat seed multi-quality nondestructive testing device and testing method | |
CN109238893A (en) | A kind of Fresh Grade Breast degree of lignification automatic grading system and stage division based on hardness deformation | |
CN112710664A (en) | Soybean grain non-adhesion image acquisition method and system based on special-shaped tube array | |
CN207126835U (en) | A kind of potato Fast nondestructive evaluation self-grading device | |
CN207914163U (en) | Piece test sorting robot | |
CN117647492A (en) | Online detection device and method for quality of corn seeds by cooperative air suction of mechanical arm | |
CN110575973B (en) | Crop seed quality detection and screening system | |
CN104949916A (en) | Fall type corn ear property measuring apparatus and measuring method thereof | |
CN207681044U (en) | A kind of ganoderma lucidum automatic sorting apparatus | |
CN220356954U (en) | Agricultural product processing is with surface defect check out test set | |
CN112793991B (en) | Soybean seed test information acquisition method | |
CN100365411C (en) | Detection method suited on surface of spherical fruit triggered to collect images based on need and equipment | |
CN112557394A (en) | Full-automatic corn ear high-flux seed tester | |
CN114682512A (en) | Lotus nut detection device based on hyperspectral technology | |
CN115979861A (en) | Device and method for detecting hardness of new sheet material |
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 |