CN205949326U - Fruit grading system based on machine vision technique - Google Patents
Fruit grading system based on machine vision technique Download PDFInfo
- Publication number
- CN205949326U CN205949326U CN201620392040.XU CN201620392040U CN205949326U CN 205949326 U CN205949326 U CN 205949326U CN 201620392040 U CN201620392040 U CN 201620392040U CN 205949326 U CN205949326 U CN 205949326U
- Authority
- CN
- China
- Prior art keywords
- fruit
- image
- machine vision
- system based
- vision technique
- 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.)
- Expired - Fee Related
Links
Landscapes
- Sorting Of Articles (AREA)
- Harvesting Machines For Specific Crops (AREA)
Abstract
The utility model discloses a fruit grading system based on machine vision technique, including conveyer and collection system, conveyer includes that transmission link and vertical fixation are in on the transmission link, be used for placing the support frame of fruit, collection system includes photoelectric sensor, light source, image collection system, computer, mechanical control case and manipulator. The utility model provides a fruit grading system based on machine vision technique, it is artifical to utilize machine vision system to replace, through gathering fruit image, judging according to fruit image that fruit is big or small and carry out fruit grading, can improve the efficiency of fruit processing in postpartum, reduction in production cost.
Description
Technical field
This utility model is related to technical field of machine vision and in particular to a kind of fruit grading based on machine vision technique
System.
Background technology
China is Production of fruit big country, has particularly developed more rapid since the nineties.According to State Statistics Bureau's statistics,
China's fruit total output has reached 152,430,000 tons within 2004, increased by 5% than 2003, accounts for the 12.7% of Gross World Product.Fruit
Industry has become as a big pillar industry of south China main producing region rural economy, for promoting increasing peasant income, expanding urban and rural residents
Obtain employment and improve the ecological environment and be made that positive contribution.
Although China's fruits output is very big, domestic fruit price is low, sells the difficult problem of fruit and often occurs, Production of fruit is quick
The impetus of development is suppressed.And Chinese fruit is based on this country's consumption, the ratio participating in international trade is very low always, outlet
Amount is less than the 3% of international fruit trade.The major reason that the problems referred to above produce is led to be exactly that commercialized treatment after adopting falls behind,
Presentation quality is poor, leads to the market competitiveness of fruit weaker.According to fruit production and marketing trend it is found that the fruit output value big
Part is to create by postharvest treatment and processing in puerperal.The commercial treatment in puerperal of fruit includes cleaning, waxing, classification, bag
Dress, classification is the important step of fruit commercial treatment, and it with fastest developing speed and there occurs in recent years in technical elements at all
Change.The at present cleaning during China's domestic fruit commercial treatment, waxing equipment comparative maturity, it is critical only that point
Level technology is also relatively backward, and a lot of enterprises are still classified to fruit using manually-operated mode.
Utility model content
To be solved in the utility model is that artificial range estimation is low to fruit grading efficiency, high cost, high labor intensive are asked
Topic.
This utility model is achieved through the following technical solutions：
A kind of fruit grading system based on machine vision technique, including transporter and harvester, described transmission dress
Put including chain and be vertically fixed on described chain, be used for placing the bracing frame of fruit, described harvester includes
Photoelectric sensor, light source, image collecting device, computer, Mechanical course case and mechanical hand；Described photoelectric sensor is arranged on
Chain side, for triggering described image harvester；Described light source is arranged in image acquisition region, for for described figure
As harvester carries out light filling；Described image harvester is arranged on the surface of image acquisition region, is used for the figure that collects fruit
Picture；Described computer is connected with described image harvester, for receiving and analyzing fruit image, and according to fruit grade to institute
State Mechanical course case and send corresponding trigger；The input of described Mechanical course case connects described computer, described machinery
The outfan of control chamber connects described mechanical hand, and described Mechanical course case controls described machine when receiving corresponding trigger
Fruit on bracing frame is put into corresponding collecting box by tool handss.
Optionally, support frame as described above includes support bar and supports curved surface；One end of described support bar is vertically fixed on described
On chain, the other end of described support bar is fixedly connected the described central point supporting curved surface.
Optionally, support frame as described above includes support bar and the support bar of at least three bendings；Hang down in one end of described support bar
Directly it is fixed on described chain, the other end of described support bar is fixedly connected one end of described support bar.By using support
Bar fixes fruit, can reduce bracing frame and stop that fruit accepts the area of light source irradiation, make fruit accept the area of light source irradiation
Increase, so that the fruit image of described harvester collection is more accurate.
Optionally, described light source includes the LED spotlight of four square summit distributions.
Optionally, described image harvester includes video camera and image pick-up card；Described video camera connects described image
Capture card, for being converted to analog electrical signal by fruit image signal；Described image capture card is connected with described computer, is used for
Described analog electrical signal is converted to digital electric signal.
Optionally, described video camera is cmos camera.
Optionally, described video camera is ccd video camera.
Optionally, the described fruit grading system based on machine vision technique also includes being arranged in image acquisition region
The plane mirror of the V-shaped distribution in two sides.By arranging the plane mirror of the V-shaped distribution in two sides, can collect fruit surface three face simultaneously
Image, thus comprehensive fruit size, surface quality and color are classified to fruit in a computer, fruit can be made to divide
Level is more fine.
This utility model compared with prior art, has such advantages as and beneficial effect：
The fruit grading system based on machine vision technique that this utility model provides, replaces people using Vision Builder for Automated Inspection
Work, is judged that by the image that collects fruit, according to fruit image fruit size carries out fruit grading, can improve fruit and add puerperal
The efficiency of work, reduces production cost.Further, based on machine vision technique, fruit is classified, have Computer Precision high,
Fireballing feature, can quickly and accurately be classified to fruit.
Brief description
Accompanying drawing described herein is used for providing this utility model embodiment is further understood, and constitutes the one of the application
Part, does not constitute the restriction to this utility model embodiment.In the accompanying drawings：
Fig. 1 is the structural representation of the fruit grading system based on machine vision technique of this utility model embodiment；
Fig. 2 is the structural representation of the distribution of light sources of this utility model embodiment；
Fig. 3 is the structural representation of the plane mirror distribution of this utility model embodiment.
Specific embodiment
For making the purpose of this utility model, technical scheme and advantage become more apparent, with reference to embodiment and accompanying drawing,
The utility model is described in further detail, and exemplary embodiment of the present utility model and its explanation are only used for explaining this
Utility model, is not intended as to restriction of the present utility model.
Embodiment
Fig. 1 is the structural representation of the fruit grading system based on machine vision technique of this utility model embodiment, institute
State and transporter and harvester are included based on the fruit grading system of machine vision technique.
Specifically, described transporter includes chain 11 and is vertically fixed on described chain 11, is used for placing
Multiple bracing frames 12 of fruit.The present embodiment provides two kinds of concrete structures of support frame as described above 12：Support frame as described above 12 can wrap
Include support bar and support curved surface, one end of described support bar is vertically fixed on described chain 11, described support bar another
End is fixedly connected the described central point supporting curved surface；Support frame as described above 12 also includes support bar and the support of at least three bendings
Bar, one end of described support bar is vertically fixed on described chain 11, and the other end of described support bar is fixedly connected described
One end of stay.
Described harvester includes photoelectric sensor 13, light source 14, image collecting device 15, computer 16, Mechanical course
Case 17 and mechanical hand 18.
Specifically, described photoelectric sensor 13 is arranged on described chain 11 side, for triggering described image collection dress
Put 15 collection images.Described light source 14 is arranged in image acquisition region, for carrying out light filling for described image harvester 15.
In the present embodiment, described light source 14 includes the LED spotlight of four square summit distributions, and Fig. 2 is that described light source 14 is distributed
Structural representation.
Described image harvester 15 is arranged on the surface of image acquisition region, is used for the image that collects fruit.Described figure
As harvester 15 includes video camera 151 and image pick-up card 152；Described video camera 151 connects described image capture card 152,
For fruit image signal is converted to analog electrical signal；Described image capture card 152 is connected with described computer 16, for inciting somebody to action
Described analog electrical signal is converted to digital electric signal.Described video camera 151 can be cmos camera or CCD shooting
Machine.Have that dynamic range is big due to ccd video camera, spectral response range width, small volume, low in energy consumption and high reliability,
The present embodiment preferably employs ccd video camera.
Described image capture card 152 is connected with described computer 16, by described analog electrical signal is converted to described based on
The digital electric signal of the convenient identification of calculation machine 12.Described image capture card 112 is to control video camera to take pictures to complete image acquisition and number
Wordization coordinates the visual plant of whole system, and its structure design is closely related to the efficiency of whole system with performance.General figure
As capture card has following functions module：The reception of picture signal and analog-to-digital conversion module, camera control input/output interface,
EBI and communication interface.The system uses the PCI-1408 image pick-up card of NI company, PCI-1408 image pick-up card
Support multiplex image acquisition, and adopt double CCD to input to improve resolution and the reliability of system.
Described computer 16 is connected with described image harvester 15, for receiving and analyzing fruit image, and according to water
Fruit grade sends corresponding trigger to described Mechanical course case 17.After described computer 16 receives fruit image, extract water
Fruit size characteristic, judges the grade of fruit, and sends different triggers based on different fruit grades according to fruit size
To described Mechanical course case 17.Those skilled in the art know how to extract fruit size characteristic using computer, and here is no longer
Repeat.The input of described Mechanical course case 17 connects described computer 16, and the outfan of described Mechanical course case 17 connects institute
State mechanical hand 18, described Mechanical course case 17 controls described mechanical hand 18 by described support when receiving corresponding trigger
Corresponding collecting box put into by fruit on frame 12.
Further, the present embodiment can also include the two sides plane mirror being arranged in image acquisition region.Fig. 3 is plane mirror
The structural representation of distribution, the V-shaped distribution of two sides plane mirror 31.By arranging the plane mirror 31 of the V-shaped distribution in two sides, described figure
As harvester 15 can collect fruit the image in surface three face simultaneously, thus in described computer 15, not only can analyze
Fruit size, comprehensive fruit surface quality and color can also be classified to fruit, fruit grading can be made more fine.
Above-described specific embodiment, is entered to the purpose of this utility model, technical scheme and beneficial effect
One step describes in detail, be should be understood that and the foregoing is only specific embodiment of the present utility model, is not used to limit
Fixed protection domain of the present utility model, all any modifications within spirit of the present utility model and principle, made, equivalent replaces
Change, improve, should be included within protection domain of the present utility model.
Claims (7)
1. a kind of fruit grading system based on machine vision technique is it is characterised in that include transporter and harvester, institute
State transporter to include chain and be vertically fixed on described chain, be used for placing the bracing frame of fruit, described collection
Device includes photoelectric sensor, light source, image collecting device, computer, Mechanical course case, mechanical hand and is arranged on image and adopts
The plane mirror of the V-shaped distribution in two sides in collection region；
Described photoelectric sensor is arranged on chain side, for triggering described image harvester；
Described light source is arranged in image acquisition region, for carrying out light filling for described image harvester；
Described image harvester is arranged on the surface of image acquisition region, is used for the image that collects fruit；
Described computer is connected with described image harvester, for receiving and analyzing fruit image, and according to fruit grade to
Described Mechanical course case sends corresponding trigger；
The input of described Mechanical course case connects described computer, and the outfan of described Mechanical course case connects described machinery
Handss, described Mechanical course case controls described mechanical hand that the fruit on bracing frame is put into phase when receiving corresponding trigger
Answer the collecting box of grade.
2. the fruit grading system based on machine vision technique according to claim 1 is it is characterised in that support frame as described above
Including support bar and support curved surface；
One end of described support bar is vertically fixed on described chain, and the other end of described support bar is fixedly connected described support
The central point of curved surface.
3. the fruit grading system based on machine vision technique according to claim 1 is it is characterised in that support frame as described above
Support bar including support bar and at least three bendings；
One end of described support bar is vertically fixed on described chain, and the other end of described support bar is fixedly connected described support
One end of bar.
4. the fruit grading system based on machine vision technique according to claim 1 is it is characterised in that described light source bag
Include the LED spotlight of four square summit distributions.
5. the fruit grading system based on machine vision technique according to claim 1 is it is characterised in that described image is adopted
Acquisition means include video camera and image pick-up card；
Described video camera connects described image capture card, for fruit image signal is converted to analog electrical signal；
Described image capture card is connected with described computer, for described analog electrical signal is converted to digital electric signal.
6. the fruit grading system based on machine vision technique according to claim 5 is it is characterised in that described video camera
For cmos camera.
7. the fruit grading system based on machine vision technique according to claim 5 is it is characterised in that described video camera
For ccd video camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620392040.XU CN205949326U (en) | 2016-05-04 | 2016-05-04 | Fruit grading system based on machine vision technique |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620392040.XU CN205949326U (en) | 2016-05-04 | 2016-05-04 | Fruit grading system based on machine vision technique |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN205949326U true CN205949326U (en) | 2017-02-15 |
Family
ID=57966752
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201620392040.XU Expired - Fee Related CN205949326U (en) | 2016-05-04 | 2016-05-04 | Fruit grading system based on machine vision technique |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN205949326U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108855987A (en) * | 2018-08-21 | 2018-11-23 | 金华逻辑回归信息科技有限公司 | A kind of fruit grading equipment based on computer vision |
| CN112720529A (en) * | 2020-12-29 | 2021-04-30 | 中国农业科学院都市农业研究所 | Multi-mechanical-arm cooperation harvesting robot |
-
2016
- 2016-05-04 CN CN201620392040.XU patent/CN205949326U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108855987A (en) * | 2018-08-21 | 2018-11-23 | 金华逻辑回归信息科技有限公司 | A kind of fruit grading equipment based on computer vision |
| CN112720529A (en) * | 2020-12-29 | 2021-04-30 | 中国农业科学院都市农业研究所 | Multi-mechanical-arm cooperation harvesting robot |
| CN112720529B (en) * | 2020-12-29 | 2022-10-04 | 中国农业科学院都市农业研究所 | Multi-mechanical-arm cooperation harvesting robot |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105834119A (en) | Automatic fruit grading device | |
| CN202010662U (en) | Real-time inspection and grading system device for fruit appearance quality | |
| CN103487440B (en) | A kind of battery pole ear detection method based on machine vision and detection system thereof | |
| CN101907453B (en) | Online measurement method and device of dimensions of massive agricultural products based on machine vision | |
| CN203750868U (en) | Computer vision-based burr detection device | |
| CN204429708U (en) | The Systems for optical inspection of the accurate support presentation quality of LED | |
| CN202591136U (en) | Automatic walnut sorting machine based on relative specific weight | |
| CN101905215A (en) | Digitalized paddy rice seed testing machine | |
| CN205949326U (en) | Fruit grading system based on machine vision technique | |
| CN107507163A (en) | A kind of method and system for identifying photovoltaic solar panel surface smut degree | |
| CN205949327U (en) | Fruit quality detecting system based on machine vision technique | |
| CN101216438B (en) | Printed circuit boards coarse defect image detection method based on FPGA | |
| CN109557111A (en) | The detection system of vial open defect based on machine vision | |
| CN203400872U (en) | Tea color sorting device | |
| CN113000413A (en) | System, method and terminal for detecting surface defects of synchronizer gear sleeve based on machine vision | |
| CN103229614A (en) | Automatic corn ear test method | |
| CN205175925U (en) | Fabric defects real -time detection device | |
| CN105964564A (en) | Fruit quality classifying device | |
| CN202700832U (en) | Dynamic identification device of inferior products in production | |
| CN206891989U (en) | Paper defects data acquisition device and the real-time detection using the device and reponse system | |
| CN101172274A (en) | Matrimony vine classifying and sorting device and methods thereof | |
| CN206139529U (en) | Transparent roller bearing mechanism | |
| CN102221552A (en) | Measuring method for processing accuracy of rice | |
| CN104458759B (en) | A kind of irregular automatic cloth inspecting machine from correction system of gray scale | |
| CN203365339U (en) | On-line detecting system for surface defect of cold rolling aluminum plate |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20170215 Termination date: 20180504 |