CN206281783U - A kind of intelligent fruit-vegetable quality detecting system - Google Patents
A kind of intelligent fruit-vegetable quality detecting system Download PDFInfo
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- CN206281783U CN206281783U CN201621424656.7U CN201621424656U CN206281783U CN 206281783 U CN206281783 U CN 206281783U CN 201621424656 U CN201621424656 U CN 201621424656U CN 206281783 U CN206281783 U CN 206281783U
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- camera bellows
- illumination apparatus
- acquisition device
- sets
- video acquisition
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Abstract
The utility model discloses a kind of intelligent fruit-vegetable quality detecting system, including camera bellows, video acquisition device, illumination apparatus, electromagnetic relay, Light Control Unit, data wire and computer, wherein, the video acquisition device is located in the camera bellows and positioned at the top of camera bellows；The illumination apparatus include red fluorescence lamp, green fluorescence lamp and blue-fluorescence lamp, and the illumination apparatus are provided with two sets, and two sets of illumination apparatus are all arranged in camera bellows, and two sets of illumination apparatus are located on the left and right sides wall in camera bellows respectively；The utility model can realize the automatic classification and Detection of fruits and vegetables under different conditions, it is to avoid the mistake of manual sort's fruits and vegetables, form pipelining, can save cost of labor, improve sort efficiency, increase the economic profit space of agricultural product.
Description
Technical field
The utility model is related to fruits and vegetables detection field, and in particular to a kind of intelligent fruit-vegetable quality detecting system.
Background technology
China is large agricultural country, has multiclass agricultural output to occupy world prostatitis.As the big producer of agricultural product, fruit
Vegetable industry has huge productive potentialities and the market space.Because huge fruits and vegetables quantity is not only consumed greatly in attribute classification
The human resources of amount, increased labour cost, during as well as manually carrying out fruit and vegetable classification, easily error so that unqualified
Fruit and vegetable food come into the market, the healthy of people is had undesirable effect.Therefore, fruits and vegetables defect recognition system has very high
Researching value.
Utility model content
The purpose of this utility model is the shortcoming and deficiency for overcoming prior art, there is provided one kind uses image recognition technology
To the automatic detection of fruits and vegetables difference quality state reaching the intelligent fruit-vegetable quality detecting system of automatic classification.
The purpose of this utility model is achieved through the following technical solutions：
A kind of intelligent fruit-vegetable quality detecting system, including camera bellows, video acquisition device, illumination apparatus, electromagnetic relay, lamp
Light control device, data wire and computer, wherein, the video acquisition device is located in the camera bellows and positioned at the top of camera bellows
Portion；The illumination apparatus include red fluorescence lamp, green fluorescence lamp and blue-fluorescence lamp, and the illumination apparatus are provided with two sets, should
Two sets of illumination apparatus are all arranged in camera bellows, and two sets of illumination apparatus are located on the left and right sides wall in camera bellows respectively；It is described
Electromagnetic relay, Light Control Unit and computer installation are outside camera bellows, and the data wire is sequentially connected electromagnetic relay, lamp
Light control device and computer；The video acquisition device is connected by the data wire with the computer, described two sets
Illumination apparatus are connected with the electromagnetic relay respectively by the data wire；
The Light Control Unit is provided with automatic mode button, stops start button and manual mode button；The light
Control device controls two sets of illumination apparatus by electromagnetic relay, and light color is switched according to the mode of operation of setting；
The video acquisition device carries out the dynamic acquisition of multi-angle, and the information transfer that will be collected to fruits and vegetables to calculating
Machine is analyzed, and the computer installs MATLAB softwares and the image that video acquisition device is gathered is processed, and recognizes fruit
The quality of vegetable.
Preferably, the Light Control Unit includes 51 single-chip microcomputers；The single-chip microcomputer of the model is cheap, and performance is steady
It is fixed, can use for a long time without abnormal heating, last a long time, several years, and market can be used to get in stocks in the case of normal operation
Source abundance is readily replaceable.
Preferably, the video acquisition device is ccd video camera；CCD is Charge Coupled Device (electric charge couplings
Clutch part) abbreviation, it is a kind of semiconductor imaging device, thus with sensitivity is high, anti-high light, distort small, small volume, longevity
The advantages of life length, anti-vibration.
Preferably, four the week side of boss walls inside the camera bellows are provided with reflective sheeting；Reflective sheeting is using the reflective material of reflective membrane
The special performance of material, will be to light source projects direction reflection light so that fully, the shade of generation is minimum for illumination in camera bellows.
Preferably, the camera bellows is cuboid or cube structure；The simple structure, it is easy to process, low cost, and compared with
It is stabilization.
Operation principle of the present utility model：
During work, automatic mode button is pressed, control Light Control Unit enters automatic mode, in automatic mode, red
Color fluorescent lamp, green fluorescence lamp and each bright 5 seconds of blue-fluorescence lamp, when stopping start button being pressed, can suspend light from
Dynamic switching, maintains the light of current color, when stopping start button being pressed again, recovers automatic mode；Press manual mode
Button, control Light Control Unit enters manual mode, often then switches a light color by a manual mode button, in hand
Under dynamic model formula, stop start button invalid；The video acquisition device carries out many under the light-illuminating of different colours to fruits and vegetables
The dynamic acquisition of angle, and the information transfer that will be collected is analyzed to computer, the computer installs MATLAB softwares
Image to video acquisition device collection is processed, and recognizes the quality of fruits and vegetables, gives the information transmission after treatment divide afterwards
Pick system.
The utility model has following beneficial effect compared with prior art：
(1) the utility model fruit and vegetable classification standard mainly according to national regulation, can to fruits and vegetables using image recognition technology
The different conditions that can exist are analyzed, with reference to fruits and vegetables sorting system realizing software, the view-based access control model being combined of hardware
Fruit-vegetable quality hierarchy system；
(2) the utility model can realize the automatic classification and Detection of fruits and vegetables under different conditions, it is to avoid the mistake of manual sort's fruits and vegetables
By mistake, pipelining is formed, cost of labor can be saved, improve sort efficiency, increase the economic profit space of agricultural product；
(3) the utility model is simple to operate, with low cost, and required operating personnel are few, may be implemented in labor shortage
Area or period carry out large-scale production.
Brief description of the drawings
Fig. 1 is structural representation of the present utility model；
Fig. 2 is top view of the present utility model；
Fig. 3 is front view of the present utility model；
Reference is in figure：1st, camera bellows；2nd, video acquisition device；3rd, illumination apparatus；4th, Light Control Unit；5th, electromagnetism
Relay；6th, data wire；7th, computer.
Specific embodiment
The utility model is described in further detail with reference to embodiment and accompanying drawing, but implementation of the present utility model
Mode not limited to this.
As shown in Figures 1 to 3, a kind of intelligent fruit-vegetable quality detecting system, including camera bellows 1, video acquisition device 2, illumination dress
3, Light Control Unit 4, electromagnetic relay 5, data wire 6 and computer 7 are put, wherein, the camera bellows 1 is cuboid or pros
Body structure, four the week side of boss walls inside the camera bellows 1 are provided with reflective sheeting, and the inwall of camera bellows 1 is made up of reflective sheeting, using many of light
Level reflection, realizes the abundant irradiation of the light inside camera bellows 1, so as to obtain target detail clearly experiment photo；The video
Harvester 2 is located in the camera bellows 1 and positioned at the top of camera bellows 1；The illumination apparatus 3 include that red fluorescence lamp, green are glimmering
Light lamp and blue-fluorescence lamp, the illumination apparatus 3 are provided with two sets, and two sets of illumination apparatus 3 are all arranged in camera bellows 1, and this two
Set illumination apparatus 3 are located on the left and right sides wall in camera bellows 1 respectively；The electromagnetic relay 5, Light Control Unit 4 and calculating
Machine 7 is arranged on outside camera bellows 1, and the data wire 6 is sequentially connected electromagnetic relay 5, Light Control Unit 4 and computer 7；It is described
Video acquisition device 2 is connected by the data wire 6 with the computer 7, and two sets of illumination apparatus 3 are by the data
Line 6 is connected with the electromagnetic relay 5 respectively；
The Light Control Unit 4 is provided with automatic mode button, stops start button and manual mode button；The light
Control device 4 controls two sets of illumination apparatus 3 by electromagnetic relay 5, and light color is switched according to the mode of operation of setting；
The Light Control Unit 4 includes single-chip microcomputer, and the single-chip microcomputer is low for the single-chip microcomputer of 51 single-chip microcomputer Light Control Unit 4,51 has
Power consumption, cheap, steady performance, are commonly applied to the fields such as Industry Control, agricultural production and daily life, can ensure to set
Decline holistic cost in the case of standby stable operation；The device needs to set corresponding mode of operation according to practical work, and
In red fluorescence lamp, green fluorescence lamp, the switching between blue-fluorescence lamp makes object reflect corresponding coloured light with different illumination,
So as to exclude the interference of the coloured light outside target.
The video acquisition device 2 is ccd video camera, and CCD is Charge Coupled Device (charge-coupled image sensor)
Abbreviation, it is a kind of semiconductor imaging device, thus ccd video camera sensitivity is high, anti-high light, distort small, small volume, life-span
Long, anti-vibration, ccd video camera is arranged on the top of camera bellows 1, and when bottom of the fruits and vegetables on streamline by camera bellows 1, CCD takes the photograph
Camera obtains the image of multiframe difference angle in the case of fruits and vegetables are in dynamically to target fruits and vegetables.The video acquisition device 2
Fruits and vegetables are carried out with the dynamic acquisition of multi-angle, and the information transfer that will be collected is analyzed to computer 7, the computer 7
MATLAB softwares are installed, the software is the business mathematics software that MathWorks companies of the U.S. produce, for algorithm development, data
The advanced techniques computational language and interactive environment of visualization, data analysis and numerical computations, are usually used in the neck such as image procossing
Domain, the utility model utilizes These characteristics, is applied in the image procossing of fruit and vegetable surfaces.Computer 7 is soft using MATLAB
Part obtains the multiple image from ccd video camera, and the image to gathering carries out image preprocessing, realizes to fruits and vegetables viewable portion
Attributional analysis, so as to realize the multiclass classification to fruits and vegetables.
During work, automatic mode button is pressed, control Light Control Unit 4 enters automatic mode, in automatic mode, red
Color fluorescent lamp, green fluorescence lamp and each bright 5 seconds of blue-fluorescence lamp, when stopping start button being pressed, can suspend light from
Dynamic switching, maintains the light of current color, when stopping start button being pressed again, recovers automatic mode；Press manual mode
Button, control Light Control Unit 4 enters manual mode, often then switches a light color by a manual mode button,
Under manual mode, stop start button invalid；The video acquisition device 2 is carried out under the light-illuminating of different colours to fruits and vegetables
The dynamic acquisition of multi-angle, and the information transfer that will be collected is analyzed to computer 7, the computer 7 installs MATLAB
Software is processed the image that video acquisition device 2 is gathered, and recognizes the quality of fruits and vegetables, afterwards by the information transmission after treatment
To sorting system.
Specifically, by taking potato as an example, different types of potato fluorescent lamp effect map analysis, in the fluorescent lamp of standard
Under environment, the photographic analysis of multi-angle is carried out to different types of potato, and image is processed using MATLAB softwares, known
Do not go out the various defects of potato.The arithmetic speed and accuracy of potato detection algorithm are improved, the potato speed transported on streamline
Degree is fast, but the speed that traditional algorithm is detected to potato is slow, and error rate is high, so needing optimized algorithm arithmetic speed, intends
The fast and accurately judgement of potato quality is realized, therefore (PLA algorithms are machine learning algorithms, with two-layer god with PLA algorithms
Classified through unit), (Corner Detection Algorithm is calculated Corner Detection Algorithm using gradient or radian, is mainly calculated
The angle or radian at angle, judge whether certain position angle occurs in image) and the related algorithm that is optimized to it, improve
Arithmetic speed.The hardware environment of image recognition is realized, with reference to image procossing, by machine vision and 51 singlechip controllers, sense
Answer potato to reach predetermined environment-identification, ccd video camera is obtained the image of potato in time, realize color, the quality of potato
The real-time detection of classification, completes the intelligent grading function of potato.The combination of software and hardware, is joined by emulation and multiple tune,
After MATLAB softwares carry out image procossing, the result of gained is converted into signal transmission to single-chip microcomputer, and then controls hardware, realized
Efficient classification.
Fruits and vegetables may be deposited by the main fruit and vegetable classification standard according to national regulation of the utility model using image recognition technology
Different conditions be analyzed, with reference to fruits and vegetables sorting system realizing the fruits and vegetables of software, the view-based access control model being combined of hardware
Quality grading system；The utility model can realize the automatic classification and Detection of fruits and vegetables under different conditions, it is to avoid manual sort's fruits and vegetables
Mistake, forms pipelining, can save cost of labor, improves sort efficiency, increases the economic profit space of agricultural product；This
Utility model is simple to operate, with low cost, and required operating personnel are few, and the area or period that may be implemented in labor shortage are entered
Row large-scale production.
Above-mentioned is the utility model preferably implementation method, but implementation method of the present utility model is not by the above
Limitation, it is other it is any without departing from Spirit Essence of the present utility model and the change, modification, replacement made under principle, combine, it is simple
Change, should be equivalent substitute mode, be included within protection domain of the present utility model.
Claims (5)
1. a kind of intelligent fruit-vegetable quality detecting system, it is characterised in that including camera bellows, video acquisition device, illumination apparatus, electromagnetism
Relay, Light Control Unit, data wire and computer, wherein, the video acquisition device is located in the camera bellows and is located at
The top of camera bellows；The illumination apparatus include red fluorescence lamp, green fluorescence lamp and blue-fluorescence lamp, and the illumination apparatus are provided with
Two sets, two sets of illumination apparatus are all arranged in camera bellows, and two sets of illumination apparatus are located at the left and right sides wall in camera bellows respectively
On；The electromagnetic relay, Light Control Unit and computer installation outside camera bellows, and the data wire be sequentially connected electromagnetism after
Electrical equipment, Light Control Unit and computer；The video acquisition device is connected by the data wire with the computer, institute
Two sets of illumination apparatus are stated to be connected with the electromagnetic relay respectively by the data wire；
The Light Control Unit is provided with automatic mode button, stops start button and manual mode button；The signal light control
Device controls two sets of illumination apparatus by electromagnetic relay, and light color is switched according to the mode of operation of setting；
The video acquisition device carries out the dynamic acquisition of multi-angle to fruits and vegetables, and the information transfer that will be collected is entered to computer
Row analysis, the computer installs MATLAB softwares and the image that video acquisition device is gathered is processed, and recognizes fruits and vegetables
Quality.
2. intelligent fruit-vegetable quality detecting system according to claim 1, it is characterised in that the Light Control Unit includes
51 single-chip microcomputers.
3. intelligent fruit-vegetable quality detecting system according to claim 1, it is characterised in that the video acquisition device is
Ccd video camera.
4. intelligent fruit-vegetable quality detecting system according to claim 1, it is characterised in that four the week side of boss inside the camera bellows
Wall is provided with reflective sheeting.
5. intelligent fruit-vegetable quality detecting system according to claim 1, it is characterised in that the camera bellows be cuboid or
Cube structure.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621424656.7U CN206281783U (en) | 2016-12-23 | 2016-12-23 | A kind of intelligent fruit-vegetable quality detecting system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621424656.7U CN206281783U (en) | 2016-12-23 | 2016-12-23 | A kind of intelligent fruit-vegetable quality detecting system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN206281783U true CN206281783U (en) | 2017-06-27 |
Family
ID=59071794
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201621424656.7U Expired - Fee Related CN206281783U (en) | 2016-12-23 | 2016-12-23 | A kind of intelligent fruit-vegetable quality detecting system |
Country Status (1)
| Country | Link |
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| CN (1) | CN206281783U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110293076A (en) * | 2019-04-24 | 2019-10-01 | 张勇 | A kind of on-line monitoring formula food inspection device |
-
2016
- 2016-12-23 CN CN201621424656.7U patent/CN206281783U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110293076A (en) * | 2019-04-24 | 2019-10-01 | 张勇 | A kind of on-line monitoring formula food inspection device |
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| GR01 | Patent grant | ||
| 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: 20170627 Termination date: 20211223 |