CN107024433A - The method and system of food freshness in a kind of detection refrigerator - Google Patents
The method and system of food freshness in a kind of detection refrigerator Download PDFInfo
- Publication number
- CN107024433A CN107024433A CN201610072590.8A CN201610072590A CN107024433A CN 107024433 A CN107024433 A CN 107024433A CN 201610072590 A CN201610072590 A CN 201610072590A CN 107024433 A CN107024433 A CN 107024433A
- Authority
- CN
- China
- Prior art keywords
- food
- information
- shelf
- image information
- server
- 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.)
- Pending
Links
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
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
Landscapes
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (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)
- Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
This application provides a kind of method and system for detecting food freshness in refrigerator, this method includes:Obtain the high spectrum image information of food at position to be detected in refrigerator;The high spectrum image information for being loaded with food freshness information is uploaded onto the server, so that the server by utilizing Hyperspectral imagery processing algorithm obtains the first shelf-life information of the food.The detection method that the application is provided, the shelf-life information of food is obtained by using Hyperspectral imagery processing algorithm, so as to judge the freshness of food, with the higher degree of accuracy, avoid the experience of only relying on and cause erroneous judgement to recognize whether the food of storage in refrigerator is fresh, so that the generation for the problem of causing unpredictable consequence.
Description
Technical field
It is fresh that the application is related to food in refrigerator food fresh-keeping technical field, more particularly to a kind of detection refrigerator
The method and system of degree.
Background technology
Food such as meat products, fruits and vegetables etc. bought in food market many at present do not have the obvious shelf-life,
Can also there is a situation where that still user is difficult to discover partial necrosis even in the food that supermarket buys;With existing
For the continuous quickening of rhythm of life, many people especially working people seldom goes to pay close attention to the specific fresh of food
Degree, so can not only cause the waste of resource, more likely influence healthy, be directly connected to life
Quality.
It is mainly the bacterium of fruits and vegetables and meat, the maturity of fruits and vegetables and fresh meat surface in view of food species
Sum is its classification (order is put and eaten to i. e. in refrigerator) and fresh-keeping important indicator.However,
Discrimination of the current people to the freshness of stored food in refrigerator is mainly seen by the experience of people
Examine, substantially judge whether food is fresh according to appearance color and luster, smell of food etc..
Traditional method for recognizing whether the food stored in refrigerator is fresh by artificial experience, is being carried out
The detection of inside quality is difficult to have accurate unified index, is easy to cause erroneous judgement, so that cause can not
The consequence of precognition.
The content of the invention
In view of this, this application provides a kind of method and system for detecting food freshness in refrigerator, with
Overcome the method for recognizing whether the food stored in refrigerator is fresh due to relying on experience in the prior art,
The detection for carrying out inside quality is difficult to have accurate unified index, is easy to cause erroneous judgement, so that causing
The problem of unpredictable consequence.
To achieve the above object, this application provides following technical scheme:
A kind of method of food freshness in detection refrigerator, including:
Obtain the high spectrum image information of the food in refrigerator at position to be detected;
The high spectrum image information for being loaded with food freshness information is uploaded onto the server, so that described
Server by utilizing Hyperspectral imagery processing algorithm calculates the first shelf-life information of the food.
It is preferred that, when the food at the position to be detected has bar code, this method also includes:
The bar code information of the bar code is obtained, and the bar code information is uploaded to the server
To obtain the second shelf-life information of the food;
Wherein, the bar code information includes:The date of manufacture of the food and/or guarantee date.
It is preferred that, in addition to:
Classification and edible suggestion that the server is formulated according to the first shelf-life information are received, and will
The first shelf-life information and the classification and edible suggestion feed back to client.
It is preferred that, the first of the server by utilizing Hyperspectral imagery processing algorithm calculating food guarantees the quality
Phase information includes:
The high spectrum image information is handled, the wave band for meeting preparatory condition is chosen;
The wave band for meeting preparatory condition is subjected to Endmember extraction by pre-defined algorithm, to obtain the height
The relation of reflectivity and wavelength in spectral image information;
The first shelf-life information is calculated according to the relation of the reflectivity and the wavelength.
It is preferred that, it is described that the high spectrum image information is handled, choose the ripple for meeting preparatory condition
Section includes:
The high spectrum image information is pre-processed, pretreated image information is obtained;
Radiant correction is carried out to the pretreated image information;
Wave band choosing is carried out to carrying out the image information after radiant correction according to Spectral correlation and spatial coherence
Select and sampled with Band fusion, to obtain meeting the wave band of preparatory condition.
The system of food freshness in a kind of detection refrigerator, including:
First acquisition unit, the high spectrum image information for obtaining the food in refrigerator at position to be detected;
Uploading unit, for the high spectrum image information for being loaded with food freshness information to be uploaded into clothes
Business device;
Second acquisition unit, for making the server by utilizing Hyperspectral imagery processing algorithm according to the height
Spectral image information calculates the first shelf-life information of the food.
It is preferred that, when the food at the position to be detected has bar code,
The first acquisition unit, is additionally operable to obtain the bar code information of the bar code;
The uploading unit, is additionally operable to the bar code information being uploaded to the server;
The second acquisition unit, is additionally operable to make the server according to being calculated the bar code information
Second shelf-life information of food;
Wherein, the bar code information includes:The date of manufacture of the food and/or guarantee date.
It is preferred that, the second acquisition unit is additionally operable to make the server according to first shelf-life be believed
Breath formulates corresponding classification and edible suggestion;
The system also includes:Receiving unit, for receiving first shelf-life that the server is sent
Information and the classification and edible suggestion, and feed back to client.
It is preferred that, the server includes:
Pretreatment unit, for the high spectrum image information to be pre-processed, obtains pretreated
Image information;
Unit is corrected, for carrying out radiant correction to the pretreated image information;
Selecting unit, for according to Spectral correlation and spatial coherence to carrying out the image after radiant correction
Information carries out waveband selection and Band fusion sampling;
Extraction unit, it is described to obtain for the wave band of selection to be carried out into Endmember extraction by pre-defined algorithm
The relation of reflectivity and wavelength in high spectrum image information;
As a result unit, for obtaining first shelf-life according to the relation of the reflectivity and the wavelength
Information.
It is preferred that, the first acquisition unit includes:Monochromatic near infrared light light source, by condenser and monochrome
Hyperspectral imaging devices, the ccd image sensor of instrument composition, wherein,
The monochromatic near infrared light light source, for irradiating the food formation diffusing reflection;
The Hyperspectral imaging devices, for handling irreflexive light;
The ccd image sensor, for utilizing the Hyperspectral imaging devices, obtains the food
High spectrum image information.
From above technical scheme, this application provides a kind of method for detecting food freshness in refrigerator
And system, this method includes:Obtain the high spectrum image information of the food in refrigerator at position to be detected;
The high spectrum image information for being loaded with food freshness information is uploaded onto the server, so that the service
Device calculates the first shelf-life information of the food using Hyperspectral imagery processing algorithm.What the application was provided
The detection method, the shelf-life information of food is obtained by using Hyperspectral imagery processing algorithm, so as to sentence
The freshness of jejunitas thing, with the higher degree of accuracy, it is to avoid only rely on experience to recognize storage in refrigerator
Food it is whether fresh cause erroneous judgement so that the generation for the problem of causing unpredictable consequence.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to reality
The accompanying drawing used required for applying in example or description of the prior art is briefly described, it should be apparent that, below
Accompanying drawing in description is only embodiments of the invention, for those of ordinary skill in the art, not
On the premise of paying creative work, other accompanying drawings can also be obtained according to the accompanying drawing of offer.
Fig. 1 is the flow of the method for food freshness in a kind of detection refrigerator of the offer of the embodiment of the present application one
Figure;
Fig. 2 is the stream of the method for food freshness in another detection refrigerator of the offer of the embodiment of the present application one
Cheng Tu;
Fig. 3 is the flow of the method for food freshness in a kind of detection refrigerator of the offer of the embodiment of the present application two
Figure;
Fig. 4 is a kind of flow chart of the method for the first shelf-life of acquisition information that the embodiment of the present application two is provided;
Fig. 5 is the structure of the system of food freshness in a kind of detection refrigerator of the offer of the embodiment of the present application three
Schematic diagram;
Fig. 6 is the knot of the system of food freshness in another detection refrigerator of the offer of the embodiment of the present application three
Structure schematic diagram;
Fig. 7 is the structure of the system of food freshness in a kind of detection refrigerator of the offer of the embodiment of the present application four
Schematic diagram;
Fig. 8 is a kind of structural representation for server that the embodiment of the present application four is provided;
Fig. 9 is the entity of the system of food freshness in a kind of detection refrigerator of the offer of the embodiment of the present application five
Structural representation.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out
Clearly and completely describe, it is clear that described embodiment is only a part of embodiment of the invention, and
The embodiment being not all of.Based on the embodiment in the present invention, those of ordinary skill in the art are not doing
Go out the every other embodiment obtained under the premise of creative work, belong to the scope of protection of the invention.
Server in the present invention is home server or cloud server.Server is set directly at ice
Home server is formed in case, now and without the concern for the influence of network, service can be efficiently obtained
Device result of calculation.Certainly it is more excellent, it is long-range using being arranged in order to obtain more precisely result of calculation
Cloud server more preferably, cloud server has more powerful computing capability, and can receive in real time
The high spectrum image information for the varieties of food items that the different refrigerator terminal of collection is uploaded in real time, the bloom of big data quantity
Spectrum image information server can carry out calculating and collect and obtain accurately judging data basis beyond the clouds, make meter
Calculate result more preferably accurate.
In the examples below, the operation principle of the present invention is illustrated using cloud server, still
Therefore protection scope of the present invention is not limited.
To overcome in the prior art due to recognizing side that whether food stored in refrigerator is fresh by experience
Method, is difficult to have accurate unified index in the detection for carrying out inside quality, is easy to cause erroneous judgement, so that
The problem of unpredictable consequence is caused, food freshness in refrigerator is detected this application provides a kind of
Method and system, concrete scheme is as described below:
Embodiment one
The embodiment of the present application one provides a kind of method for detecting food freshness in refrigerator, as shown in figure 1,
Fig. 1 is the flow chart that the application implements the method for food freshness in an a kind of detection refrigerator provided.Should
Method includes:
S101:Obtain the high spectrum image information of the food in refrigerator at position to be detected;
In this application, cycle regular time that can be pre-set according to user or random time,
The freshness of food in refrigerator is detected according to the demand of user, food is obtained using Hyperspectral imaging devices
High spectrum image information.
S102:The high spectrum image information for being loaded with food freshness information is uploaded onto the server, so that clothes
Business device calculates the first shelf-life information of food using Hyperspectral imagery processing algorithm.
The high spectrum image information of food freshness information will be loaded with high in the clouds is uploaded to by cordless communication network
Server or home server, then in the server, food are obtained using Hyperspectral imagery processing algorithm
The first shelf-life information.
Specifically, as shown in Fig. 2 Fig. 2 is in another detection refrigerator that the embodiment of the present application one is provided
The flow chart of the method for food freshness, in addition to shown in Fig. 1, the embodiment also includes:
S103:The first shelf-life information that the reception server is sent, and feed back to client.
By the food shelf-life feedback of the information that detects server to client, so that user learns food
The freshness of thing, so that user can be disposed to food in time, it is to avoid user only judges by rule of thumb
Food freshness causes the generation of erroneous judgement problem.
Need it is especially mentioned that, be not that each food shelf-life information is anti-in other embodiments
Client is fed to, user can be customized to shelf-life information, as user can select to close on the shelf-life
Feedback of the information in five days is to client, and other information need not feed back to client.Embodiment two
On the basis of embodiment one, the embodiment of the present application two is provided in a kind of more specifically detection refrigerator
The method of food freshness, when the food that this method is applied at position to be detected has bar code, passes through
Using bar code information, another reference is provided to client.As shown in figure 3, Fig. 3 is the application
The flow chart of the method for food freshness in a kind of detection refrigerator that embodiment two is provided.This method includes:
S101:Obtain and glued in the high spectrum image information and food of the food in refrigerator at position to be detected
The bar code information of the bar code of patch;
In this application, cycle regular time that can be pre-set according to user or random time,
The freshness of food in refrigerator is detected according to the demand of user, food is obtained using Hyperspectral imaging devices
High spectrum image information, and obtain the bar code information for the bar code pasted on food.
It should be noted that no matter whether there is bar code to obtain its high spectrum image information on food,
Because the freshness information obtained by reflection peak can be more accurate, the extraction of bar code information is mainly to visitor
Family end provides another reference, wherein, bar code information includes:The date of manufacture of corresponding food and/
Or the information such as guarantee date, due to the shelf-life information on bar code typically provide be the food production
Date and the date is limited the use of according to what people's experience was customized, however, due to the influence of external environment, it is different
Storage condition under, the freshness of food can produce the difference of essence, therefore, in actual life, bar
The quality guarantee period on date and food reality described in code information has certain deviation, therefore, at this
In application, analyzed by combining high spectrum image, result in more accurately shelf-life information.
High spectrum image information in the present embodiment refers to be loaded with food freshness information, reflected value and wavelength
The high spectrum image of relation.
S102:The high spectrum image information and bar code information that are loaded with food freshness information are uploaded to clothes
Business device, so that server by utilizing high spectrum image information obtains food according to Hyperspectral imagery processing algorithm
First shelf-life information, the second shelf-life information of food is obtained using bar code information.
The high spectrum image information and bar code information that are loaded with food freshness information are passed through into wireless communication networks
Network is uploaded onto the server, then in the server, and the of food is obtained using Hyperspectral imagery processing algorithm
One shelf-life information, the second shelf-life information of food is obtained using bar code information.
Wherein, in this application, as shown in figure 4, one kind that Fig. 4 is the offer of the embodiment of the present application two is obtained
Take the flow chart of the method for the first shelf-life information.Specifically, server by utilizing Hyperspectral imagery processing is calculated
The first shelf-life information that method obtains food includes:
S201:High spectrum image information is pre-processed, pretreated image information is obtained;
In this application, it is necessary first to which high spectrum image information is pre-processed, including:Data format
The processes such as change, bad point reparation, wave band registration and hash deletion, then obtain the image of free from admixture
Information.
S202:Radiant correction is carried out to pretreated image information;
S203:Carried out according to Spectral correlation and spatial coherence to carrying out the image information after radiant correction
Waveband selection and Band fusion sampling;
S204:The wave band of selection is subjected to Endmember extraction by LPD algorithms, to obtain high spectrum image letter
The relation of reflectivity and wavelength in breath;
It should be noted that preset algorithm used in this application can be LPD algorithms, also may be used certainly
Think other algorithms, do not limit in this application.
S205:First shelf-life information is obtained according to the relation of reflectivity and wavelength.
In this application, the fresh of food is accurately obtained by using Hyperspectral imagery processing algorithm
Degree, and contrasted by the shelf-life information obtained by bar code, improve the degree of accuracy.
S103:Classification that the reception server is formulated according to the first shelf-life information and edible suggestion, and by the
One shelf-life information, the second shelf-life information and classification and edible suggestion feed back to client.
The food freshness that the application can be obtained according to detection, formulating corresponding classification, (i. e. is in ice
Order is put and eaten in case) and using suggestion, display panel before mobile phone terminal APP, refrigerator is pushed to,
User is reminded to handle in time, user can complete the place of information at mobile phone A PP ends or refrigerator display panel end
Reason, can bring more preferable Experience Degree down to client.
The method of food freshness in the detection refrigerator that above technical scheme, the application are provided,
The shelf-life information of food is obtained by using Hyperspectral imagery processing algorithm, so as to judge the fresh of food
Degree, with the higher degree of accuracy, it is to avoid only rely on experience to recognize whether the food of storage in refrigerator is new
It is fresh to cause erroneous judgement, so that the generation for the problem of causing unpredictable consequence.Also, when viscous on food
When posting bar code, shelf-life corresponding with bar code, two shelf-lifves pair can be obtained according to bar code
Than correction, so that judging more accurate.
Embodiment three
The embodiment of the present application three provides a kind of system for detecting food freshness in refrigerator, as shown in figure 5,
Fig. 5 is the structural representation of the system of food freshness in a kind of detection refrigerator of the offer of the embodiment of the present application three
Figure.The system includes:First acquisition unit 101, uploading unit 102 and second acquisition unit 103, its
In,
First acquisition unit 101, the high spectrum image for obtaining the food in refrigerator at position to be detected is believed
Breath;
Uploading unit 102, for the high spectrum image information for being loaded with food freshness information to be uploaded into service
Device;
Second acquisition unit 103, for making server by utilizing Hyperspectral imagery processing algorithm according to high-spectrum
As information calculates the first shelf-life information of food.
Specifically, as shown in fig. 6, Fig. 6 is in another detection refrigerator that the embodiment of the present application three is provided
The structural representation of the system of food freshness.Go out outside shown in Fig. 5, the embodiment also includes:
First receiving unit 104, the first shelf-life information sent for the reception server, and feed back to visitor
Family end.
Specifically, the present embodiment can be referred to same or analogous ground in embodiment one, in this reality
Apply in example and repeat no more.
Example IV
On the basis of embodiment three, the embodiment of the present application four is provided in a kind of more specifically detection refrigerator
The system of food freshness, when the food that the system is applied at position to be detected has bar code, passes through
Using bar code information, another reference is provided to client.As shown in fig. 7, Fig. 7 is the application
The structural representation of the system of food freshness in a kind of detection refrigerator that example IV is provided.The system bag
Include:First acquisition unit 101, uploading unit 102, the receiving unit 104 of second acquisition unit 103 and second,
Wherein,
First acquisition unit 101, the high spectrum image for obtaining the food in refrigerator at position to be detected is believed
The bar code information of breath and bar code;
Wherein, bar code information includes:The information such as the date of manufacture of food and/or guarantee date.
Uploading unit 102, for the high spectrum image information and bar code of being loaded with food freshness information to be believed
Breath uploads onto the server;
Second acquisition unit 103, for making server by utilizing Hyperspectral imagery processing algorithm according to high-spectrum
Guaranteed the quality as the first shelf-life information of information calculating food, and according to the second of bar code information acquisition food
Phase information, and, corresponding classification and edible suggestion are formulated according to the first shelf-life information.
In the present embodiment, as shown in figure 8, Fig. 8 is a kind of server that the embodiment of the present application four is provided
Structural representation.The acquiring unit includes:Pretreatment unit 201, correction unit 202, selecting unit
203rd, extraction unit 204 and result unit 205, wherein,
Pretreatment unit 201, for high spectrum image information to be pre-processed, obtains pretreated figure
As information;
In this application, it is necessary first to which high spectrum image information is pre-processed, including:Data format
The processes such as change, bad point reparation, wave band registration and hash deletion, then obtain the image of free from admixture
Information.
Unit 202 is corrected, for carrying out radiant correction to pretreated image information;
Selecting unit 203, for according to Spectral correlation and spatial coherence to carrying out the figure after radiant correction
As information carries out waveband selection and Band fusion sampling;
Extraction unit 204, for the wave band of selection to be carried out into Endmember extraction by LPD algorithms, to obtain
The relation of reflectivity and wavelength in high spectrum image information;
As a result unit 205, for obtaining the first shelf-life information according to the relation of reflectivity and wavelength.
In this application, the fresh of food is accurately obtained by using Hyperspectral imagery processing algorithm
Degree, and contrasted by the shelf-life information obtained by bar code, improve the degree of accuracy.
Second feedback unit 104, for by the first shelf-life information, the second shelf-life information and classification and
Edible suggestion feeds back to client.
Specifically, the present embodiment and the same or analogous place of embodiment two, can be referred to, in this reality
Apply in example and repeat no more.
The system of food freshness in the detection refrigerator that above technical scheme, the application are provided,
The shelf-life information of food is obtained by using Hyperspectral imagery processing algorithm, so as to judge the fresh of food
Degree, with the higher degree of accuracy, it is to avoid only rely on experience to recognize whether the food of storage in refrigerator is new
It is fresh to cause erroneous judgement, so that the generation for the problem of causing unpredictable consequence.Also, when viscous on food
When posting bar code, shelf-life corresponding with bar code, two shelf-lifves pair can be obtained according to bar code
Than correction, so that judging more accurate.
Embodiment five
The embodiment of the present application five provides a kind of entity structure for detecting the system of food freshness in refrigerator,
As shown in figure 9, Fig. 9 is that food freshness is in a kind of detection refrigerator that the embodiment of the present application five is provided
The entity structure schematic diagram of system.As illustrated, 1 being monochromatic near infrared light light source, 2 being Wi-Fi module, 3
It is condenser, the Hyperspectral imager of monochromator composition for cloud server, 4,5 is
CCD (Charge-coupled Device, imaging sensor) imaging sensor, 6 be mobile phone terminal APP, 7 be
Food to be measured, 8 be food outer packing to be measured bar code.
Refrigerator passes through high light spectrum image-forming mainly for food and the barcode detection shelf-life of food outer packing
The ccd sensor of system and its rear stage obtains high spectrum image information, passes image through Wi-Fi module
Defeated to arrive cloud server, server completes the analysis of shelf-life information, extracted, by food/bar shaped beyond the clouds
The shelf-life feedback of code is pushed to the preceding display panel of refrigerator and the APP ends of mobile phone.
Specifically, being put into food in refrigerator, refrigerator doors are shut, and constitute a closed environment;
Ccd image sensor detection food whether there is bar code, if any, be uploaded to cloud server processing;
Monochromatic near infrared light light source irradiation food formation diffusing reflection, Hyperspectral imager processing reflection light,
Image is obtained by ccd image sensor and is uploaded to cloud server processing;
Cloud server extracts shelf-life information using Hyperspectral imagery processing algorithm:
High in the clouds pushes shelf-life information to display panel before mobile phone terminal APP, refrigerator;
User can complete information by display panel before mobile phone terminal APP, refrigerator according to reminding and being classified suggestion
Processing.
The system that the application is provided, using the monochromatic light such as infrared light to food (bacterial number of such as pork,
The maturity of fruits and vegetables) it is irradiated, the extraction of characteristic spectrum is carried out to food using ccd sensor, and
Ccd sensor is coordinated to realize the direct extraction of the shelf-life information on the food Package with bar code, and
The shelf-life that EO-1 hyperion Non-Destructive Testing is obtained compares correction, improves the degree of accuracy;By being added in refrigerator
Wi-Fi module obtains his wireless communication module, and local image is uploaded into cloud server can realize spectrum
The high in the clouds processing of image, bar code, simplifies local hardware circuit;It is newest after the completion of the processing of high in the clouds
Shelf-life and storage food freshness information are directly fed back to display panel before user APP ends and refrigerator, carry
The user that wakes up carries out classification to food and edible in time, good for health.
Finally, in addition it is also necessary to explanation, herein, such as first and second or the like relational terms
It is used merely to make a distinction an entity or operation with another entity or operation, and not necessarily requires
Or imply between these entities or operation there is any this actual relation or order.Moreover, art
Language " comprising ", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that
So that process, method, article or equipment including a series of key elements not only include those key elements, and
Also include other key elements for being not expressly set out, or also include for this process, method, article or
The intrinsic key element of person's equipment.In the absence of more restrictions, by sentence "including a ..."
The key element of restriction, it is not excluded that also deposited in the process including the key element, method, article or equipment
In other identical element.
The embodiment of each in this specification is described by the way of progressive, and each embodiment is stressed
Be between the difference with other embodiment, each embodiment identical similar portion mutually referring to.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or use
The application.A variety of modifications to these embodiments will be aobvious and easy for those skilled in the art
See, generic principles defined herein can in the case where not departing from spirit herein or scope,
Realize in other embodiments.Therefore, the application is not intended to be limited to the embodiments shown herein,
And it is to fit to the most wide scope consistent with features of novelty with principles disclosed herein.
Claims (10)
1. a kind of method for detecting food freshness in refrigerator, it is characterised in that including:
Obtain the high spectrum image information of the food in refrigerator at position to be detected;
The high spectrum image information for being loaded with food freshness information is uploaded onto the server, so that described
Server by utilizing Hyperspectral imagery processing algorithm calculates the first shelf-life information of the food.
2. according to the method described in claim 1, it is characterised in that the food at the position to be detected
When thing has bar code, this method also includes:
The bar code information of the bar code is obtained, and the bar code information is uploaded to the server
To obtain the second shelf-life information of the food;
Wherein, the bar code information includes:The date of manufacture of the food and/or guarantee date.
3. according to the method described in claim 1, it is characterised in that also include:
Classification and edible suggestion that the cloud server is formulated according to the first shelf-life information are received,
And the first shelf-life information and the classification and edible suggestion are fed back into client.
4. according to the method described in claim 1, it is characterised in that the server by utilizing high-spectrum
As the first shelf-life information that Processing Algorithm calculates the food includes:
The high spectrum image information is handled, the wave band for meeting preparatory condition is chosen;
The wave band for meeting preparatory condition is subjected to Endmember extraction by pre-defined algorithm, to obtain the height
The relation of reflectivity and wavelength in spectral image information;
The first shelf-life information is calculated according to the relation of the reflectivity and the wavelength.
5. method according to claim 4, it is characterised in that described to believe the high spectrum image
Breath is handled, and the wave band that selection meets preparatory condition includes:
The high spectrum image information is pre-processed, pretreated image information is obtained;
Radiant correction is carried out to the pretreated image information;
Wave band choosing is carried out to carrying out the image information after radiant correction according to Spectral correlation and spatial coherence
Select and sampled with Band fusion, to obtain meeting the wave band of preparatory condition.
6. a kind of system for detecting food freshness in refrigerator, it is characterised in that including:
First acquisition unit, the high spectrum image information for obtaining the food in refrigerator at position to be detected;
Uploading unit, for the high spectrum image information for being loaded with food freshness information to be uploaded into clothes
Business device;
Second acquisition unit, for making the server by utilizing Hyperspectral imagery processing algorithm according to the height
Spectral image information calculates the first shelf-life information of the food.
7. system according to claim 6, it is characterised in that the food at the position to be detected
When thing has bar code,
The first acquisition unit, is additionally operable to obtain the bar code information of the bar code;
The uploading unit, is additionally operable to the bar code information being uploaded to the server;
The second acquisition unit, is additionally operable to make the server according to being calculated the bar code information
Second shelf-life information of food;
Wherein, the bar code information includes:The date of manufacture of the food and/or guarantee date.
8. system according to claim 6, it is characterised in that the second acquisition unit is additionally operable to
The server is set to formulate corresponding classification and edible suggestion according to the first shelf-life information;
The system also includes:Receiving unit, for receiving first shelf-life that the server is sent
Information and the classification and edible suggestion, and feed back to client.
9. system according to claim 6, it is characterised in that the server includes:
Pretreatment unit, for the high spectrum image information to be pre-processed, obtains pretreated
Image information;
Unit is corrected, for carrying out radiant correction to the pretreated image information;
Selecting unit, for according to Spectral correlation and spatial coherence to carrying out the image after radiant correction
Information carries out waveband selection and Band fusion sampling;
Extraction unit, it is described to obtain for the wave band of selection to be carried out into Endmember extraction by pre-defined algorithm
The relation of reflectivity and wavelength in high spectrum image information;
As a result unit, for obtaining first shelf-life according to the relation of the reflectivity and the wavelength
Information.
10. system according to claim 6, it is characterised in that the first acquisition unit includes:
Monochromatic near infrared light light source, the Hyperspectral imaging devices being made up of condenser and monochromator, ccd image are passed
Sensor, wherein,
The monochromatic near infrared light light source, for irradiating the food formation diffusing reflection;
The Hyperspectral imaging devices, for handling irreflexive light;
The ccd image sensor, for utilizing the Hyperspectral imaging devices, obtains the food
High spectrum image information.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610072590.8A CN107024433A (en) | 2016-02-02 | 2016-02-02 | The method and system of food freshness in a kind of detection refrigerator |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610072590.8A CN107024433A (en) | 2016-02-02 | 2016-02-02 | The method and system of food freshness in a kind of detection refrigerator |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107024433A true CN107024433A (en) | 2017-08-08 |
Family
ID=59524289
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610072590.8A Pending CN107024433A (en) | 2016-02-02 | 2016-02-02 | The method and system of food freshness in a kind of detection refrigerator |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107024433A (en) |
Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109579428A (en) * | 2018-11-08 | 2019-04-05 | 上海优悦信息科技有限公司 | A kind of method and refrigerator of the availability information that food materials are provided by refrigerator |
CN109655414A (en) * | 2018-11-27 | 2019-04-19 | Oppo广东移动通信有限公司 | Electronic equipment, information-pushing method and Related product |
CN109668852A (en) * | 2018-12-25 | 2019-04-23 | Oppo广东移动通信有限公司 | Electronic equipment, information-pushing method and Related product |
CN109752496A (en) * | 2019-01-10 | 2019-05-14 | 珠海格力电器股份有限公司 | Detection method, device and the storage device of food materials |
CN109753980A (en) * | 2017-11-03 | 2019-05-14 | 虹软科技股份有限公司 | A kind of method and apparatus for detection |
CN109780810A (en) * | 2018-12-24 | 2019-05-21 | 珠海格力电器股份有限公司 | A kind of determination method, apparatus, storage medium and the refrigerator of food situation |
DE102017223842A1 (en) * | 2017-12-28 | 2019-07-04 | BSH Hausgeräte GmbH | Household refrigerators device |
CN110940125A (en) * | 2019-10-30 | 2020-03-31 | 珠海格力电器股份有限公司 | Method, device and medium for determining optimal refrigeration scheme of food in refrigerator and refrigerator |
WO2020132490A1 (en) * | 2018-12-20 | 2020-06-25 | Avery Dennison Retail Information Services, Llc | Smart prep table and method of food traceability |
WO2020125456A1 (en) * | 2018-12-18 | 2020-06-25 | 广东美的白色家电技术创新中心有限公司 | Food monitoring method, refrigerator, and apparatus having storage function |
CN112905823A (en) * | 2021-02-22 | 2021-06-04 | 深圳市国科光谱技术有限公司 | Hyperspectral substance detection and identification system and method based on big data platform |
CN113157759A (en) * | 2020-01-22 | 2021-07-23 | 青岛海尔电冰箱有限公司 | Refrigerator dish management method, refrigerator and storage medium |
CN113465268A (en) * | 2020-08-18 | 2021-10-01 | 青岛海信电子产业控股股份有限公司 | Refrigerator and food material identification method |
CN113469643A (en) * | 2021-06-18 | 2021-10-01 | 深圳市点购电子商务控股股份有限公司 | Quality guarantee period reminding method and device and storage medium |
CN114359895A (en) * | 2021-12-30 | 2022-04-15 | 广东哈士奇制冷科技股份有限公司 | Method and system for detecting freshness of food |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202281453U (en) * | 2011-09-16 | 2012-06-20 | 海尔集团公司 | Refrigerator with freshness detection device |
WO2014031976A1 (en) * | 2012-08-23 | 2014-02-27 | Medchain Systems, Inc. | Smart storage of temperature sensitive pharmaceuticals |
CN103954781A (en) * | 2014-04-02 | 2014-07-30 | 中国农业大学 | Portable nondestructive detector for livestock meat quality based on portable communication equipment |
CN104040309A (en) * | 2011-11-03 | 2014-09-10 | 威利食品有限公司 | Low-cost spectrometry system for end-user food analysis |
WO2014198610A1 (en) * | 2013-06-14 | 2014-12-18 | BSH Bosch und Siemens Hausgeräte GmbH | Refrigeration appliance system |
WO2014198612A1 (en) * | 2013-06-14 | 2014-12-18 | BSH Bosch und Siemens Hausgeräte GmbH | Refrigeration appliance comprising a camera module |
CN204065068U (en) * | 2014-08-12 | 2014-12-31 | 合肥美菱股份有限公司 | A kind of refrigerator food freshness measuring ability system and refrigerator thereof |
CN105184098A (en) * | 2015-09-30 | 2015-12-23 | 刘毅 | Method for achieving disease drug detection and use management automatically through hyperspectral imaging technology |
CN105241826A (en) * | 2015-10-13 | 2016-01-13 | 惠州Tcl移动通信有限公司 | Intelligent mobile terminal and food detection method using the same |
-
2016
- 2016-02-02 CN CN201610072590.8A patent/CN107024433A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202281453U (en) * | 2011-09-16 | 2012-06-20 | 海尔集团公司 | Refrigerator with freshness detection device |
CN104040309A (en) * | 2011-11-03 | 2014-09-10 | 威利食品有限公司 | Low-cost spectrometry system for end-user food analysis |
WO2014031976A1 (en) * | 2012-08-23 | 2014-02-27 | Medchain Systems, Inc. | Smart storage of temperature sensitive pharmaceuticals |
WO2014198610A1 (en) * | 2013-06-14 | 2014-12-18 | BSH Bosch und Siemens Hausgeräte GmbH | Refrigeration appliance system |
WO2014198612A1 (en) * | 2013-06-14 | 2014-12-18 | BSH Bosch und Siemens Hausgeräte GmbH | Refrigeration appliance comprising a camera module |
CN103954781A (en) * | 2014-04-02 | 2014-07-30 | 中国农业大学 | Portable nondestructive detector for livestock meat quality based on portable communication equipment |
CN204065068U (en) * | 2014-08-12 | 2014-12-31 | 合肥美菱股份有限公司 | A kind of refrigerator food freshness measuring ability system and refrigerator thereof |
CN105184098A (en) * | 2015-09-30 | 2015-12-23 | 刘毅 | Method for achieving disease drug detection and use management automatically through hyperspectral imaging technology |
CN105241826A (en) * | 2015-10-13 | 2016-01-13 | 惠州Tcl移动通信有限公司 | Intelligent mobile terminal and food detection method using the same |
Non-Patent Citations (2)
Title |
---|
张雷蕾等: "基于高光谱成像技术的猪肉新鲜度评价", 《农业工程学报》 * |
赵学军: "《高光谱图像压缩与融合技术》", 31 July 2015, 北京邮电大学出版社 * |
Cited By (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109753980A (en) * | 2017-11-03 | 2019-05-14 | 虹软科技股份有限公司 | A kind of method and apparatus for detection |
DE102017223842A1 (en) * | 2017-12-28 | 2019-07-04 | BSH Hausgeräte GmbH | Household refrigerators device |
CN109579428A (en) * | 2018-11-08 | 2019-04-05 | 上海优悦信息科技有限公司 | A kind of method and refrigerator of the availability information that food materials are provided by refrigerator |
CN109655414A (en) * | 2018-11-27 | 2019-04-19 | Oppo广东移动通信有限公司 | Electronic equipment, information-pushing method and Related product |
WO2020125456A1 (en) * | 2018-12-18 | 2020-06-25 | 广东美的白色家电技术创新中心有限公司 | Food monitoring method, refrigerator, and apparatus having storage function |
WO2020132490A1 (en) * | 2018-12-20 | 2020-06-25 | Avery Dennison Retail Information Services, Llc | Smart prep table and method of food traceability |
CN109780810A (en) * | 2018-12-24 | 2019-05-21 | 珠海格力电器股份有限公司 | A kind of determination method, apparatus, storage medium and the refrigerator of food situation |
CN109668852A (en) * | 2018-12-25 | 2019-04-23 | Oppo广东移动通信有限公司 | Electronic equipment, information-pushing method and Related product |
CN109668852B (en) * | 2018-12-25 | 2021-11-02 | Oppo广东移动通信有限公司 | Electronic equipment, information pushing method and related product |
CN109752496A (en) * | 2019-01-10 | 2019-05-14 | 珠海格力电器股份有限公司 | Detection method, device and the storage device of food materials |
CN110940125A (en) * | 2019-10-30 | 2020-03-31 | 珠海格力电器股份有限公司 | Method, device and medium for determining optimal refrigeration scheme of food in refrigerator and refrigerator |
CN113157759A (en) * | 2020-01-22 | 2021-07-23 | 青岛海尔电冰箱有限公司 | Refrigerator dish management method, refrigerator and storage medium |
CN113465268A (en) * | 2020-08-18 | 2021-10-01 | 青岛海信电子产业控股股份有限公司 | Refrigerator and food material identification method |
CN113465268B (en) * | 2020-08-18 | 2023-04-07 | 青岛海信电子产业控股股份有限公司 | Refrigerator and food material identification method |
CN112905823A (en) * | 2021-02-22 | 2021-06-04 | 深圳市国科光谱技术有限公司 | Hyperspectral substance detection and identification system and method based on big data platform |
CN112905823B (en) * | 2021-02-22 | 2023-10-31 | 深圳市国科光谱技术有限公司 | Hyperspectral substance detection and identification system and method based on big data platform |
CN113469643A (en) * | 2021-06-18 | 2021-10-01 | 深圳市点购电子商务控股股份有限公司 | Quality guarantee period reminding method and device and storage medium |
CN114359895A (en) * | 2021-12-30 | 2022-04-15 | 广东哈士奇制冷科技股份有限公司 | Method and system for detecting freshness of food |
CN114359895B (en) * | 2021-12-30 | 2024-04-02 | 广东哈士奇制冷科技股份有限公司 | Method and system for detecting freshness of food |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107024433A (en) | The method and system of food freshness in a kind of detection refrigerator | |
Darvishzadeh et al. | Leaf Area Index derivation from hyperspectral vegetation indicesand the red edge position | |
Verhegghen et al. | A global NDVI and EVI reference data set for land-surface phenology using 13 years of daily SPOT-VEGETATION observations | |
Kogan et al. | Space-based vegetation health for wheat yield modeling and prediction in Australia | |
Heiskanen et al. | Retrieval of boreal forest LAI using a forest reflectance model and empirical regressions | |
CN106092913A (en) | A kind of corps nutrient safety detection method and system thereof | |
Duchemin et al. | Normalisation of directional effects in 10-day global syntheses derived from VEGETATION/SPOT:: II. Validation of an operational method on actual data sets | |
Cubero et al. | Application for the estimation of the standard citrus colour index (CCI) using image processing in mobile devices | |
Yao et al. | Non-invasive and rapid pH monitoring for meat quality assessment using a low-cost portable hyperspectral scanner | |
Gebhardt et al. | A comparison of TerraSAR-X Quadpol backscattering with RapidEye multispectral vegetation indices over rice fields in the Mekong Delta, Vietnam | |
CN103810284A (en) | Kitchen management method and device | |
CN108444924B (en) | Method for discriminating storage period of tea by applying hyperspectral image technology | |
CN104865357A (en) | Integrated detection device and method for food safety | |
Gillingham et al. | Limitations of the dense dark vegetation method for aerosol retrieval under Australian conditions | |
JP2010210355A (en) | Method and apparatus for nondestructive measurement of component of vegetable etc. using near-infrared spectroscopy | |
CN205754455U (en) | A kind of mobile phone equipped with near infrared ray micro spectrometer | |
Wang et al. | Land cover change detection with a cross‐correlogram spectral matching algorithm | |
Feng et al. | Hyperspectral imaging in tandem with R statistics and image processing for detection and visualization of pH in Japanese big sausages under different storage conditions | |
CN112364681A (en) | Vegetation coverage estimation method and device based on two-dimensional table | |
JP2013072758A (en) | Measuring apparatus, control method for the same, and program | |
Sunoj et al. | Digital image analysis estimates of biomass, carbon, and nitrogen uptake of winter cereal cover crops | |
JP2011048591A (en) | Portable terminal | |
CN106568737B (en) | A kind of method of ground imaging EO-1 hyperion inverting potassium salts content | |
Lacaze et al. | Operational 333m biophysical products of the copernicus global land service for agriculture monitoring | |
Islam et al. | A ground-based platform for reliable estimates of fruit number, size, and color in stone fruit orchards |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170808 |
|
RJ01 | Rejection of invention patent application after publication |