CN202114018U - Machine vision system for grain real-time detection and grading - Google Patents
Machine vision system for grain real-time detection and grading Download PDFInfo
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- CN202114018U CN202114018U CN2011201507960U CN201120150796U CN202114018U CN 202114018 U CN202114018 U CN 202114018U CN 2011201507960 U CN2011201507960 U CN 2011201507960U CN 201120150796 U CN201120150796 U CN 201120150796U CN 202114018 U CN202114018 U CN 202114018U
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- 230000005540 biological transmission Effects 0.000 claims abstract description 13
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- 235000013339 cereals Nutrition 0.000 claims description 87
- 230000002093 peripheral effect Effects 0.000 claims description 35
- 238000007689 inspection Methods 0.000 claims description 9
- 238000009434 installation Methods 0.000 claims description 3
- 210000003141 lower extremity Anatomy 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 abstract description 6
- 238000000034 method Methods 0.000 abstract description 5
- 238000012545 processing Methods 0.000 abstract description 4
- 238000005469 granulation Methods 0.000 abstract 2
- 230000003179 granulation Effects 0.000 abstract 2
- 230000007547 defect Effects 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000012535 impurity Substances 0.000 description 2
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- 238000003909 pattern recognition Methods 0.000 description 2
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- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000036651 mood Effects 0.000 description 1
- 238000012372 quality testing Methods 0.000 description 1
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Abstract
The utility model discloses a machine vision system for grain real-time detection and grading, comprising a power and transmission mechanism, a computer vision recognization mechanism, a single granulation device and an automatic grading mechanism. After grain kernels enter the machine vision system for grain real-time detection and grading from a feeding hole, the speed of the grain kernels is firstly controlled by the power and transmission mechanism, the grain kernels are transported forwards one by one through the single granulation device, images of the singly granulated grain kernels are collected by the computer vision recognization mechanism, characteristic information such as a shape, the color, the size, the surface smoothness, the surface defects and the like of each grain kernel is acquired after the collected images are in image processing, and a grade of each grain kernel is determined through mode recognization. In the whole process, each grain kernel is traced, when the grain kernels after labeled rating reach a discharge region, the grain kernel automatic grading mechanism is controlled by a control module of the computer vision recognization mechanism, and the recognized grain kernels automatically drop into a collection tank through a discharge hole, thereby the automation detection and grading levels of the grain kernels are increased.
Description
Technical field
The utility model relates to a kind of NI Vision Builder for Automated Inspection, especially relates to the NI Vision Builder for Automated Inspection of detection in real time of a kind of cereal and classification.
Background technology
Strengthen the quality inspection monitoring of cereal, the cereal strain in the regional testing is carried out quality determination, confirm that for screening new varieties provide the quality foundation; The special-purpose grain variety of high-quality after the authorization is followed the tracks of evaluation, detect the quality stability of grain variety; The grain variety of regularly large tracts of land being promoted is carried out spot check of quality, quality restriction and overall merit, and the establishment whole nation and each advantage district grain quality annual report provide relevant inspection information; Study new inspection technology and method, system revision related standards, quality that the raising grain quality detects and level etc. all have very important meaning.
The cereal grade detects the content of aspect such as the defective, impurity on the size shape be mainly concerned with cereal, surface, for one of important evidence of cereal classification, strict regulation is arranged in the cereal grading standard of countries in the world.Cereal classification is in the past mainly artificially accomplished, and needs a large amount of labours like this, and not only labour intensity is big; But also receive subjective influence; The influence of factors such as for example individual eyesight, taste, mood, fatigue, light, efficient is low like this, and accuracy is also poor.Though color selector has bigger advantage on speed, yet can not guarantee high accuracy, especially can't remove with the irrelevant impurity of color.Also there are some producers to develop some cereal classification instruments abroad, yet receive the influence of native breed bigger, very be not fit to the grain variety of China,, rest in the theoretical research mostly though also there was scholar's research to cross stage division in the past.
Summary of the invention
The purpose of the utility model has been to provide the NI Vision Builder for Automated Inspection of a kind of cereal detection in real time with classification; Realize carrying fast with automatically of grain; And the visual field through computer successively with cereal; Can accurately effectively obtain color, texture and the shape facility information of grain, realize the detection and the classification of grain.
The utility model solves the technical scheme that its technical problem adopted:
It comprises power and transmission mechanism, Computer Vision Recognition mechanism, singulated device and automatic grader structure; Wherein:
1) power and transmission mechanism: comprise driving gear, internal gear, annular peripheral frame and central shaft on stepper motor, the motor; Stepper motor is through driving gear on it and internal gear engagement, and internal gear is installed in the lower surface of annular peripheral frame, and internal gear and annular peripheral frame are coaxial to be installed on the central shaft;
2) Computer Vision Recognition mechanism: comprise camera, capture card, annular light source, support, computer, position sensor, alignment sensor, positioning disk and control module; Support is fixed on mechanism's casing; Support is equipped with camera and annular light source from top to bottom successively, camera be placed in hold cereal groove one side directly over, the center of annular light source and the coaxial installation in the center of camera; Camera is connected with computer through capture card; Positioning disk is installed on the central shaft that is positioned at internal gear below, and positioning disk keeps rotating synchronously with pallet, distributing on the positioning disk with pallet on the location hole of grain groove same number; Also be provided with a locating hole on the positioning disk; Locating hole be positioned at one of them location hole and the same straight line of central shaft on, alignment sensor and position sensor lay respectively at directly over locating hole and the location hole, computer links to each other with control module through serial ports;
3) singulated device: comprise cone, pallet, four baffle plates, two Electric brushes; Cone and pallet; On the central shaft of the coaxial successively from top to down upper surface that is installed in annular peripheral frame; The pallet end face is evenly distributed in the grain groove that can hold cereal, and pallet cylindrical and annular peripheral frame endoporus be for being rotatably assorted, and four baffle plates diagonally distribute respectively on the semicircular body of the annular peripheral frame through said viewing field of camera not; One end and the cone lower limb of every baffle plate join; The other end and the annular peripheral frame of every baffle plate join, and four baffle plate central angles are 90 °～120 °, and two Electric brushes are installed in respectively near the annular peripheral frame edge between three baffle plates of said camera one side;
4) automatic grader structure: comprise with pallet on spring hinge supporting spring, three blocks of electromagnet and three collecting boxs of grain groove same number; One end five equilibrium of every flat spring hinge supporting spring is installed in the bearing pin of pallet, and every flat spring hinge supporting spring stretches out the outer end of pallet all has catch, and every flat spring hinge supporting spring is identical with the grain well width; Three blocks of electromagnet are fixed on the edge of annular peripheral frame; Corresponding with the position of spring hinge supporting spring, the plectrum of three blocks of electromagnet can contact with the spring hinge supporting spring, three collecting boxs be placed on respectively electromagnet corresponding groove separately under; The corresponding collecting box of each grade; Control module links to each other with three blocks of electromagnet, and control module is sent the signal controlling electromagnet, and the plectrum of electromagnet is dialled spring hinge supporting spring catch edge; Along with the rotation of pallet, grain can be fallen in the collecting box of following correspondence in the grain groove on the pallet.
Described control module 27 is made up of with peripheral circuit and RS-232 the ATMEGA128 single-chip microcomputer, and the velocity information of cereal class information, positional information and rotating mechanism is connected with computer motherboard through RS-232, accomplishes the reception and the transmission of information.
The beneficial effect that the utlity model has is:
The utility model extracts effective image information in the grain of rapid movement; And image information is corrected and analyzing and processing; Accomplish detection fast and effectively, and realize classification through the automatic grader structure to the exterior quality indexs such as shape, color, size, surface flatness and blemish of dynamic grain.Thereby can promote the automatization level of the quality testing and the classification of grain, be applied to actual production after, can optimize the resource distribution of China's grain.
Description of drawings
Fig. 1 is the structural principle sketch map of the utility model.
Fig. 2 is the schematic top plan view of the singulated device of the utility model.
Fig. 3 is the disk mechanism left view of the utility model.
Fig. 4 is the disk mechanism upward view of the utility model.
Fig. 5 is the structure diagram of 4 baffle plates of the utility model.
Fig. 6 is the positioning disk graphics of the utility model.
Fig. 7 is the annular peripheral frame graphics of the utility model.
Fig. 8 is the hierarchy elevational schematic view of the utility model.
Fig. 9 is the control structure block diagram of the utility model.
Among the figure: 1, computer, 2, cone, 3, casing, 4, pallet, 5, the spring hinge supporting spring; 6, electromagnet, 7, annular peripheral frame, 8, internal gear, 9, collecting box, 10, position sensor; 11, alignment sensor, 12, central shaft, 13, positioning disk, 14, stepper motor, 15, support; 16, the driving gear on the motor, 18, grain, 19, annular light source, 20, camera, 21, capture card; 22,23,25,26, baffle plate, 24, Electric brush, 27, control module, 28, the grain groove, 29, bearing pin.
The specific embodiment
Below in conjunction with accompanying drawing the utility model is further described.
Like Fig. 1, Fig. 2, Fig. 3, Fig. 4, Fig. 7, shown in Figure 8, it comprises power and transmission mechanism, Computer Vision Recognition mechanism, singulated device and automatic grader structure the utility model; Wherein:
1) power and transmission mechanism: comprise driving gear 16, internal gear 8, annular peripheral frame 7 and central shaft 12 on stepper motor 14, the motor; Stepper motor 14 is through driving gear on it 16 and internal gear 8 engagements, and internal gear 8 is installed in the lower surface of annular peripheral frame 7, internal gear 8 and annular peripheral frame 7 coaxial being installed on the central shaft 12;
2) Computer Vision Recognition mechanism: comprise camera 20, capture card 21, annular light source 19, support 15, computer 1, position sensor 10, alignment sensor 11, positioning disk 13 and control module 27; Support 15 is fixed on mechanism's casing; Support 15 is equipped with camera 20 and annular light source 19 from top to bottom successively, camera be placed in hold cereal groove one side directly over, the center of annular light source 19 and the coaxial installation in the center of camera 20; Camera 20 is connected with computer 1 through capture card 21; Positioning disk 13 is installed on the central shaft 12 that is positioned at internal gear 8 belows, and positioning disk 13 keeps rotation synchronously with pallet 4, distributing on the positioning disk 13 with pallet 4 on the location hole of grain groove 28 same number; Also be provided with a locating hole on the positioning disk 13; Locating hole be positioned at one of them location hole and central shaft 12 same straight lines on, alignment sensor 11 lays respectively at directly over locating hole and the location hole with position sensor 10, computer 1 passes through serial ports and links to each other with control module 27;
3) singulated device: comprise cone 2, pallet 4, four 22,23,25,26, two Electric brushes 24 of baffle plate; Cone 2 and pallet 4; On the central shaft 12 of the coaxial successively from top to down upper surface that is installed in annular peripheral frame 7; Pallet 4 end faces are evenly distributed in the grain groove 28 (being 30 grooves among the figure) that can hold cereal, and pallet 4 cylindricals and annular peripheral frame 7 endoporus are for being rotatably assorted, and four baffle plates diagonally distribute respectively on the semicircular body of the annular peripheral frame 7 through said camera 20 visual fields not; One end of every baffle plate and cone 2 lower limbs join; The other end of every baffle plate and annular peripheral frame 7 join, and four baffle plate 22,23,25,26 central angles are 90 °～120 °, and two Electric brushes 24 are installed in respectively near annular peripheral frame 7 edges between three baffle plates of said camera 20 1 sides;
4) automatic grader structure: comprise with pallet 4 on spring hinge supporting spring 5, three electromagnet 6 and three collecting boxs 9 of grain groove 28 same number; One end five equilibrium of every flat spring hinge supporting spring is installed in the bearing pin 29 of pallet 4, and every flat spring hinge supporting spring stretches out pallet 4 outer ends all has catch, and every flat spring hinge supporting spring is identical with grain groove 28 width; Three blocks of electromagnet 6 are fixed on the edge of annular peripheral frame 7; Corresponding with the position of spring hinge supporting spring 5, the plectrum of three blocks of electromagnet 6 can contact with the spring hinge supporting spring, three collecting boxs 9 be placed on respectively electromagnet corresponding groove separately under; The corresponding collecting box of each grade; Control module 27 links to each other with three blocks of electromagnet 6, and control module 27 is sent signal controlling electromagnet 6, and the plectrum of electromagnet 6 is dialled spring hinge supporting spring 5 catch edges; Along with the rotation of pallet, grain can be fallen in the collecting box of following correspondence in the grain groove on the pallet.
As shown in Figure 9; Described control module 27 is made up of with peripheral circuit and RS-232 the ATMEGA128 single-chip microcomputer; The velocity information of cereal class information, positional information and rotating mechanism is connected with computer motherboard through RS-232, accomplishes the reception and the transmission of information.
Like Fig. 1, Fig. 2, shown in Figure 7, power and transmission mechanism comprise driving gear 16, internal gear 8, annular peripheral frame 7, central shaft 12 on stepper motor 14, the motor; Whole device is driven by stepper motor 14.Driving gear 16 on the stepper motor and the interior mutually engagement of internal gear 8, internal tooth 8 is taken turns with central shaft 12 and is connected, and central shaft is connected with annular peripheral frame 7 through bearing, and central shaft drives pallet 4 rotations, and central shaft, pallet keep coaxial rotation with internal gear.Cereal is poured into from casing 3 tops, and the grain of pouring into slips into the edge via cone, makes grain more near the position, hole on pallet 4 next doors.
Like Fig. 2, shown in Figure 5; Fig. 2 is the singulated device diagrammatic top view of entire mechanism, comprises cone 2, pallet 4, four baffle plates 22,23,25,26, Electric brush 24, along with the rotation of stepper motor 14; The grain that slides into tray edge through cone is along with 4 baffle plates and two Electric brushes 24 that direct current generator drives are passed through in the rotation of pallet respectively; Baffle plate 22,23,25,26 and Electric brush 24, the shape of baffle plate is as shown in Figure 5, and baffle plate is having a groove near the annular peripheral frame place; Its function is that grain is got into; Grain after the entering might overstock through baffle plate 25 and 26 places the time herein, in order to prevent chuck, is provided with two Electric brushes 24 at this; Thereby realized the singulated of grain, grain 18 is the position after the singulated.
Like Fig. 1, shown in Figure 6; Computer Vision Recognition mechanism comprises camera 20, capture card 21, annular light source 19, support 15, computer 1, position sensor 10, alignment sensor 11, positioning disk 13; Control module 27; In order to grasp distinct image, must make between camera 20, annular light source 19 and the grain 18 to reach the optimum position.Camera 20 links to each other with computer 1 through capture card 21 usefulness USB interfaces; The grain image that grasps is issued control module 27 to its result through RS232 with the form of communication after processing and pattern-recognition, control module 27 is come control step motor 14 rotating speeds and automatic grader structure according to the instruction of being sent.In the grain image that grabs, also to follow the tracks of each grain; On the positioning disk 13 (as shown in Figure 6) locating hole and location hole are arranged; The number of location hole is identical with the distributing position uniformity with the number that pallet 4 edges hold the grain groove; Alignment sensor 11 is provided with initial position, and 10 pairs of grain of alignment sensor are followed the tracks of.
As shown in Figure 8, the automatic grader structure comprises spring hinge supporting spring 5, electromagnet 6 and collecting box 9; The grade of the corresponding required minute grain of electromagnet number among Fig. 8, when computer 1 send judge good signal after, grain can trigger when rotating to the position of electromagnet 6; The plectrum elongation of electromagnet 6, the electromagnet 6 after the elongation will push the catch of the spring hinge supporting spring 5 of the respective level position on the pallet 4, along with the rotation of pallet 4; Spring hinge supporting spring 5 will be along fixedly uranium rotation; Fall down from the grain groove up to grain, grain drops in the corresponding collecting box 9, spring hinge supporting spring 5 reinstatement under the effect of spring; The plectrum of electromagnet 6 also returns to the origin-location, thereby accomplishes the whole process of classification.
The implementing procedure of the utility model:
At first start power switch, the back every operation that powers on is all controlled through computer.Through initial rotary speed of software set, this speed can be set to through the good optimum speed of prior test earlier, and whirligig rotates under the drive of stepper motor.Grain is poured into from charging aperture, and the cereal after pouring into enters into the grain groove of tray edge through the baffle plate above the singulated device along with the rotation of power and transmission device.In order to prevent that a plurality of grain from gathering the back and blocking rotating disk at this, needs on the singulated device, to add the Electric brush of two driven by motor.When the grain of singulated enters into the field range of camera, trigger camera and gather the grain image, the grade of grain is judged in processing of process image and pattern-recognition again.Each groove in the pallet all has coding; So that each grain is followed the tracks of; When the grain of having judged grade rotates to discharge port, send to control module to signal through RS-232, control module will be opened the spring hinge supporting spring under the tray edge splendid attire grain bottom land in the corresponding grades outlet; Make the grain of the inside drop to following corresponding collecting box the inside, thereby accomplish detection and classification cereal.Fig. 9 is the control sketch map.
Claims (2)
1. a cereal detects the NI Vision Builder for Automated Inspection with classification in real time, it is characterized in that it comprises power and transmission mechanism, Computer Vision Recognition mechanism, singulated device and automatic grader structure; Wherein:
1) power and transmission mechanism: comprise driving gear (16), internal gear (8), annular peripheral frame (7) and central shaft (12) on stepper motor (14), the motor; Stepper motor (14) is through driving gear (16) on it and internal gear (8) engagement, and internal gear (8) is installed in the lower surface of annular peripheral frame (7), and internal gear (8) and annular peripheral frame (7) are coaxial to be installed on the central shaft (12);
2) Computer Vision Recognition mechanism: comprise camera (20), capture card (21), annular light source (19), support (15), computer (1), position sensor (10), alignment sensor (11), positioning disk (13) and control module (27); Support (15) is fixed on mechanism's casing; Support (15) is equipped with camera (20) and annular light source (19) from top to bottom successively, camera be placed in hold cereal groove one side directly over, the coaxial installation in center of the center of annular light source (19) and camera (20); Camera (20) is connected with computer (1) through capture card (21); Positioning disk (13) is installed on the central shaft (12) that is positioned at internal gear (8) below, and positioning disk (13) keeps rotation synchronously with pallet (4), is distributing on the positioning disk (13) and is going up the location hole of grain groove (28) same number with pallet (4); Also be provided with a locating hole on the positioning disk (13); Locating hole be positioned at one of them location hole and the same straight line of central shaft (12) on, alignment sensor (11) and position sensor (10) lay respectively at directly over locating hole and the location hole, computer (1) passes through serial ports and links to each other with control module (27);
3) singulated device: comprise cone (2), pallet (4), four baffle plates (22,23,25,26), two Electric brushes (24); Cone (2) and pallet (4); On the central shaft (12) of the coaxial successively from top to down upper surface that is installed in annular peripheral frame (7); Pallet (4) end face is evenly distributed in the grain groove (28) that can hold cereal; Pallet (4) cylindrical and annular peripheral frame (7) endoporus are for being rotatably assorted; Four baffle plates diagonally distribute respectively on the semicircular body of the annular peripheral frame (7) through said camera (20) visual field not, and an end of every baffle plate and cone (2) lower limb join, and the other end of every baffle plate and annular peripheral frame (7) join; Four baffle plates (22,23,25,26) central angle is 90 °～120 °, and two Electric brushes (24) are installed in respectively near annular peripheral frame (7) edge between three baffle plates of said camera (20) one sides;
4) automatic grader structure: comprise spring hinge supporting spring (5), three blocks of electromagnet (6) and three collecting boxs (9) of going up grain groove (28) same number with pallet (4); One end five equilibrium of every flat spring hinge supporting spring is installed in the bearing pin (29) of pallet (4), and every flat spring hinge supporting spring stretches out the outer end of pallet (4) all has catch, and every flat spring hinge supporting spring is identical with grain groove (28) width; Three blocks of electromagnet (6) are fixed on the edge of annular peripheral frame (7); Corresponding with the position of spring hinge supporting spring (5), the plectrum of three blocks of electromagnet (6) can contact with the spring hinge supporting spring, three collecting boxs (9) be placed on respectively electromagnet corresponding groove separately under; The corresponding collecting box of each grade; Control module (27) links to each other with three blocks of electromagnet (6), and control module (27) is sent signal controlling electromagnet (6), and the plectrum of electromagnet (6) is dialled spring hinge supporting spring (5) catch edge; Along with the rotation of pallet, grain can be fallen in the collecting box of following correspondence in the grain groove on the pallet.
2. a kind of cereal according to claim 1 detects the NI Vision Builder for Automated Inspection with classification in real time; It is characterized in that: described control module (27) is made up of with peripheral circuit and RS-232 the ATMEGA128 single-chip microcomputer; The velocity information of cereal class information, positional information and rotating mechanism is connected with computer motherboard through RS-232, accomplishes the reception and the transmission of information.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011201507960U CN202114018U (en) | 2011-05-12 | 2011-05-12 | Machine vision system for grain real-time detection and grading |
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| Application Number | Priority Date | Filing Date | Title |
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| CN2011201507960U CN202114018U (en) | 2011-05-12 | 2011-05-12 | Machine vision system for grain real-time detection and grading |
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| CN202114018U true CN202114018U (en) | 2012-01-18 |
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| CN2011201507960U Expired - Fee Related CN202114018U (en) | 2011-05-12 | 2011-05-12 | Machine vision system for grain real-time detection and grading |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102284428A (en) * | 2011-05-12 | 2011-12-21 | 浙江大学 | Corn real-time detection and grading machine vision system |
| CN103706574A (en) * | 2013-12-25 | 2014-04-09 | 中国科学院半导体研究所 | Automatic solid grain sorting system |
| CN108031665A (en) * | 2017-12-08 | 2018-05-15 | 天长市天鑫粮油贸易有限责任公司 | A kind of rice kernel detection feeding-distribution device |
| CN111359914A (en) * | 2020-01-18 | 2020-07-03 | 山西大学 | Device and method for screening crop seeds |
| CN111990052A (en) * | 2020-08-24 | 2020-11-27 | 农业农村部南京农业机械化研究所 | Grain impurity-containing and breakage rate detection device of rotary disc type combine harvester and granary |
| CN112697786A (en) * | 2020-12-10 | 2021-04-23 | 安徽省益丰生态农业科技有限公司 | Automatic change grain image acquisition device of sample |
-
2011
- 2011-05-12 CN CN2011201507960U patent/CN202114018U/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102284428A (en) * | 2011-05-12 | 2011-12-21 | 浙江大学 | Corn real-time detection and grading machine vision system |
| CN103706574A (en) * | 2013-12-25 | 2014-04-09 | 中国科学院半导体研究所 | Automatic solid grain sorting system |
| CN108031665A (en) * | 2017-12-08 | 2018-05-15 | 天长市天鑫粮油贸易有限责任公司 | A kind of rice kernel detection feeding-distribution device |
| CN111359914A (en) * | 2020-01-18 | 2020-07-03 | 山西大学 | Device and method for screening crop seeds |
| CN111359914B (en) * | 2020-01-18 | 2021-11-19 | 山西大学 | Method for screening crop seeds |
| CN111990052A (en) * | 2020-08-24 | 2020-11-27 | 农业农村部南京农业机械化研究所 | Grain impurity-containing and breakage rate detection device of rotary disc type combine harvester and granary |
| CN111990052B (en) * | 2020-08-24 | 2021-09-03 | 农业农村部南京农业机械化研究所 | Grain impurity-containing and breakage rate detection device of rotary disc type combine harvester and granary |
| CN112697786A (en) * | 2020-12-10 | 2021-04-23 | 安徽省益丰生态农业科技有限公司 | Automatic change grain image acquisition device of sample |
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| C14 | Grant of patent or utility model | ||
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| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120118 Termination date: 20130512 |