CN108981277A - The method and apparatus of modification beverage shelf-life for refrigerator - Google Patents
The method and apparatus of modification beverage shelf-life for refrigerator Download PDFInfo
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- CN108981277A CN108981277A CN201810698950.4A CN201810698950A CN108981277A CN 108981277 A CN108981277 A CN 108981277A CN 201810698950 A CN201810698950 A CN 201810698950A CN 108981277 A CN108981277 A CN 108981277A
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- beverage
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D23/00—General constructional features
- F25D23/12—Arrangements of compartments additional to cooling compartments; Combinations of refrigerators with other equipment, e.g. stove
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/003—Arrangement or mounting of control or safety devices for movable devices
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Thermal Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)
Abstract
The present invention provides the method and apparatus of modification beverage shelf-life for refrigerator a kind of, the front end face of the refrigerator body is provided with the camera that can shoot user and can perceive the range sensor of user Yu the front end face distance, the following steps are included: starting camera when determining that door body of the user at a distance from the front end face less than or equal to the first preset value and the determining refrigerator becomes opening from closing according to the range sensor and simultaneously shooting the video flowing comprising user;According to the video flowing, determine that user takes beverage away, drinks the beverage and beverage is put back into refrigerating chamber from refrigerating chamber when, modify the shelf-life of the beverage.To can timely adjust the shelf-life of the beverage when the beverage partially drunk is put back into refrigerating chamber by user.
Description
Technical field
The present invention relates to technical field of refrigeration equipment more particularly to a kind of methods of the modification beverage shelf-life for refrigerator
And device.
Background technique
Refrigerator is the electric appliance being commonly used in daily life, it will usually various beverages etc. are stored in the refrigerating chamber of refrigerator,
It is understood that the shelf-life that various beverages have it to fix, user has drunk expired beverage in order to prevent, can be in ice
The shelf-life of various beverages is stored in case, to remind user in time when some beverage soon spends the shelf-life;In reality
In, user often takes out from refrigerating chamber and directly drinks the beverage, and user has not drunk sometimes, and the beverage will exist
It is put back into refrigerating chamber, it is to be understood that the shelf-life of the beverage can greatly shorten, and therefore, it is necessary to remind user in time.
Therefore, design it is a kind of after beverage is drunk, be capable of the refrigerator of time update beverage shelf-life, just become one
Urgent problem to be solved.
Summary of the invention
The purpose of the present invention is to provide a kind of after beverage is drunk, is capable of the ice of time update beverage shelf-life
Case.
One of in order to achieve the above-mentioned object of the invention, an embodiment of the present invention provides a kind of modification beverage for refrigerator
The method of shelf-life, the front end face of the refrigerator body are provided with the camera that can shoot user and can perceive user and institute
State the range sensor of front end face distance, comprising the following steps: determining user and the front end according to the range sensor
When the distance in face is less than or equal to the first preset value and determines that the door body of the refrigerator becomes opening from closing, starting camera is simultaneously
Shooting includes the video flowing of user;According to the video flowing, determine that user takes beverage away from refrigerating chamber, drinks the beverage simultaneously
When beverage is put back into refrigerating chamber, the shelf-life of the beverage is modified.
As the further improvement of an embodiment of the present invention, it is described according to the video flowing, determine user from refrigerating chamber
Take beverage away, comprising: the processing of stationary object is all filtered to every frame picture in the video flowing, and according to beverage model
Every frame picture is identified, and carries out track following to obtain beverage trace information, wherein the beverage model is
The neural network obtained by deep learning algorithm training;Determine the beverage far from before according to the beverage trace information
When end face, it is determined that user takes beverage away.
As the further improvement of an embodiment of the present invention, it is described according to the video flowing, to determine that user drinks described
Beverage, comprising: the processing of stationary object is all filtered to every frame picture in the video flowing, and according to beverage model to institute
It states every frame picture to be identified, and carries out track following to obtain beverage trace information, wherein the beverage model is to pass through
The neural network of the training of deep learning algorithm and acquisition;The beverage and the mouth of user are determined according to the beverage trace information
When distance is less than or equal to the second preset value, determine that user drinks the beverage.
As the further improvement of an embodiment of the present invention, it is described according to the video flowing, determine that user puts beverage
Return to refrigerating chamber, comprising: the processing of stationary object is all filtered to every frame picture in the video flowing, and according to beverage mould
Type identifies every frame picture, and carries out track following to obtain beverage trace information, wherein the beverage model
For the neural network obtained by deep learning algorithm training;The beverage and front end are determined according to the beverage trace information
When the distance in face becomes equal to zero by being greater than zero, determine that beverage is put back into refrigerating chamber by user.
As the further improvement of an embodiment of the present invention, the shelf-life of the modification beverage, comprising: described to repair
Change the shelf-life of the beverage, the shelf-life is less than or equal to two days.
The embodiment of the invention provides the devices of modification beverage shelf-life for refrigerator a kind of, before the refrigerator body
End face is provided with the camera that can shoot user and can perceive the range sensor of user Yu the front end face distance, including
With lower module: user's sensing module, for determining that user is less than at a distance from the front end face according to the range sensor
When door body equal to the first preset value and the determining refrigerator becomes opening from closing, starting camera simultaneously to shoot includes user
Video flowing;Shelf-life modified module, for according to the video flowing, determine that user takes beverage away from refrigerating chamber, drinks institute
When stating beverage and beverage being put back into refrigerating chamber, the shelf-life of the beverage is modified.
As the further improvement of an embodiment of the present invention, the shelf-life modified module is also used to: to the video
Every frame picture in stream is all filtered the processing of stationary object, and identifies according to beverage model to every frame picture,
And track following is carried out to obtain beverage trace information, wherein the beverage model is to be obtained by deep learning algorithm training
The neural network obtained;Determine the beverage when far from front end face according to the beverage trace information, it is determined that user takes drink away
Material.
As the further improvement of an embodiment of the present invention, the shelf-life modified module is also used to: to the video
Every frame picture in stream is all filtered the processing of stationary object, and identifies according to beverage model to every frame picture,
And track following is carried out to obtain beverage trace information, wherein the beverage model is to be obtained by deep learning algorithm training
The neural network obtained;It is default to determine that the beverage is less than or equal to second at a distance from the mouth of user according to the beverage trace information
When value, determine that user drinks the beverage.
As the further improvement of an embodiment of the present invention, the shelf-life modified module is also used to: to the video
Every frame picture in stream is all filtered the processing of stationary object, and identifies according to beverage model to every frame picture,
And track following is carried out to obtain beverage trace information, wherein the beverage model is to be obtained by deep learning algorithm training
The neural network obtained;Determine that the beverage becomes equal to zero by being greater than zero at a distance from front end face according to the beverage trace information
When, determine that beverage is put back into refrigerating chamber by user.
As the further improvement of an embodiment of the present invention, the shelf-life modified module is also used to: the modification institute
The shelf-life of beverage is stated, the shelf-life is less than or equal to two days.
Compared with the existing technology, the technical effects of the invention are that: the embodiment of the invention provides a kind of for refrigerator
The method for modifying the beverage shelf-life, the front end face of the refrigerator body are provided with the camera that can shoot user and can perceive
The range sensor of user and the front end face distance, comprising the following steps: according to the range sensor determine user with
When the distance of the front end face is less than or equal to the first preset value and determines that the door body of the refrigerator becomes opening from closing, starting
Camera simultaneously shoots the video flowing comprising user;According to the video flowing, determine that user takes beverage away from refrigerating chamber, drinks institute
When stating beverage and beverage being put back into refrigerating chamber, the shelf-life of the beverage is modified.Beverage to will partially be drunk in user
When being put back into refrigerating chamber, the shelf-life of the beverage can be timely adjusted.
Detailed description of the invention
Fig. 1 is the flow diagram of the method for the modification beverage shelf-life for refrigerator in the embodiment of the present invention.
Specific embodiment
Hereinafter, the present invention will be described in detail with reference to various embodiments shown in the accompanying drawings.But these embodiments are not
The limitation present invention, structure that those skilled in the art are made according to these embodiments, method or change functionally
It changes and is included within the scope of protection of the present invention.
In refrigerator, in order to timely remind whether each beverage of user will spend the shelf-life, need to each beverage
Shelf-life is handled, i.e., is stored with its corresponding Storage Item to each beverage in refrigerator, is stored in the Storage Item
The shelf-life of the beverage stores into the time of refrigerator etc. information.
The embodiment of the present invention one provides the method for modification beverage shelf-life for refrigerator a kind of, the refrigerator body
Front end face is provided with the camera that can shoot user and can perceive the range sensor of user Yu the front end face distance, this
In, processor module used to perform the method can be set in the refrigerator, which can be software mould
The module of block, hardware module or soft or hard combination;In use, user can stand before refrigerator and face the door body of refrigerator, open
Beverage can be taken out or store later to door body from refrigerating chamber, at this point, the cabinet of refrigerator is cabinet in face of the side of user
Front end face.Here, the range sensor can be with are as follows: infrared distance sensor or human body proximity sensor etc..
As shown in Figure 1, method includes the following steps:
Step 101: according to the range sensor determine user at a distance from the front end face be less than or equal to the first preset value,
And when determining that the door body of the refrigerator becomes opening from closing, starts camera and shoot the video flowing comprising user;
Here, the human body that the range sensor can in real time be detected it is sent to processor at a distance from front end face
Module, so that processor module can determine whether the distance is less than or equal to the first preset value with this.
Here it is possible to be provided with the sensor for detecting door body state in door body, which is detecting door body
When becoming opening from closing, it will send to processor module for characterizing door body from closing the status command for becoming open, then
Processor module can determine that door body becomes opening from closing with this;Sensor can also in real time by door body state (for example,
The angle value etc. of door body and refrigerator front end face) it is sent to processor module, so that processor module can be according to door body state
Determine that door body becomes opening from closing.
It is understood that in practice, user is stood in the front side of door body, and therefore, camera can be clapped
Take the photograph the video flowing comprising user.
Here, in order to obtain the video flowing being more clear, camera shutter speed can be in 1ms, that is, 1000FPS
(Frames Per Second, transmission frame number per second).
Step 102: according to the video flowing, determine user take beverage away from refrigerating chamber, drink the beverage and will drink
When material is put back into refrigerating chamber, the shelf-life of the beverage is modified.Here, the class of beverage can be identified from the video flowing first
Type (for example, the beverage bottle outer packing of different beverages and the shape of beverage bottle usually all compare fixation, it therefore, can be with beverage
Bottle appearance dress determines the type of beverage with shape), the position of the beverage is tracked again later, determines the beverage and front end
When the distance in face is more and more remoter, then it can determine that user is taking the beverage away;And determine that the beverage is more next at a distance from front end face
It is closer and when eventually becoming zero, then it can determine that beverage is put back into refrigerating chamber by user.
In a step 102, it needs to handle the video flowing using special algorithm, and matches drink from video flowing
Expect type, and to beverage into track following, it will be able to determine beverage at a distance from front end face whether more and more remoter front end face or
It is increasingly closer to front end face.
It here, the shelf-life of the modification beverage, can be with are as follows:, will when determining that user takes beverage away from refrigerating chamber
The Storage Item of the beverage is deleted;And when determining for drinking the beverage and beverage being put back into refrigerating chamber, in refrigerator
The middle Storage Item for adding the beverage, is stored with the shelf-life of the beverage being drunk in Storage Item.
Preferably, it is described according to the video flowing, determine that user takes beverage away from refrigerating chamber, comprising: to the video flowing
In every frame picture be all filtered the processing of stationary object, and every frame picture is identified according to beverage model, and
Track following is carried out to obtain beverage trace information, wherein the beverage model is to obtain by deep learning algorithm training
Neural network;Determine the beverage when far from front end face according to the beverage trace information, it is determined that user takes beverage away.
Wherein, which can be with are as follows: convolutional neural networks, recurrent neural network or Recognition with Recurrent Neural Network etc..
Here, for each beverage, many pictures of the beverage can be used to be trained to neural network,
And beverage model is obtained, later, so that it may picture be identified using the beverage model, so that the figure can be identified
The type of beverage in piece, and then the trace information of the beverage is obtained, and judge the beverage at a distance from front end face.
Preferably, it is described according to the video flowing, determine that user drinks the beverage, comprising: in the video flowing
Every frame picture is all filtered the processing of stationary object, and identifies according to beverage model to every frame picture, and carry out
Track following is to obtain beverage trace information, wherein the beverage model is the mind obtained by deep learning algorithm training
Through network;When determining that the beverage is less than or equal to the second preset value at a distance from the mouth of user according to the beverage trace information,
Determine that user drinks the beverage.Wherein, which can be with are as follows: convolutional neural networks, recurrent neural network or circulation mind
Through network etc..
Preferably, it is described according to the video flowing, determine that beverage is put back into refrigerating chamber by user, comprising: to the video
Every frame picture in stream is all filtered the processing of stationary object, and identifies according to beverage model to every frame picture,
And track following is carried out to obtain beverage trace information, wherein the beverage model is to be obtained by deep learning algorithm training
The neural network obtained;Determine that the beverage becomes equal to zero by being greater than zero at a distance from front end face according to the beverage trace information
When, determine that beverage is put back into refrigerating chamber by user.Wherein, which can be with are as follows: convolutional neural networks, recurrent neural network
Or Recognition with Recurrent Neural Network etc..
Preferably, the shelf-life of the modification beverage, comprising: the shelf-life of the modification beverage, the guarantor
The matter phase is less than or equal to two days.In practice, if one bottle of beverage is not opened and drunk by user, which usually has very
The long shelf-life, but if once being opened and being drunk by user, the shelf-life of the beverage will become very short, even if cold
It hides in room, the time is also very short, usually one to two day, therefore, which can be set smaller than two days.
The embodiment of the invention provides the devices of modification beverage shelf-life for refrigerator a kind of, before the refrigerator body
End face is provided with the camera that can shoot user and can perceive the range sensor of user Yu the front end face distance, including
With lower module:
User's sensing module, for determining that user is less than or equal to the at a distance from the front end face according to the range sensor
When the door body of one preset value and the determining refrigerator becomes opening from closing, starts camera and simultaneously shoot the video comprising user
Stream;
Shelf-life modified module, for according to the video flowing, determine that user takes beverage away from refrigerating chamber, drinks the beverage
And when beverage is put back into refrigerating chamber, the shelf-life of the beverage is modified.
Preferably, the shelf-life modified module, is also used to: being all filtered to every frame picture in the video flowing quiet
The only processing of object, and every frame picture is identified according to beverage model, and carry out track following to obtain beverage
Trace information, wherein the beverage model is the neural network obtained by deep learning algorithm training;According to the beverage
Trace information determines the beverage when far from front end face, it is determined that user takes beverage away.
Preferably, the shelf-life modified module, is also used to: being all filtered to every frame picture in the video flowing quiet
The only processing of object, and every frame picture is identified according to beverage model, and carry out track following to obtain beverage
Trace information, wherein the beverage model is the neural network obtained by deep learning algorithm training;According to the beverage
When trace information determines that the beverage is less than or equal to the second preset value at a distance from the mouth of user, determine that user drinks the drink
Material.
Preferably, the shelf-life modified module, is also used to: being all filtered to every frame picture in the video flowing quiet
The only processing of object, and every frame picture is identified according to beverage model, and carry out track following to obtain beverage
Trace information, wherein the beverage model is the neural network obtained by deep learning algorithm training;According to the beverage
When trace information determines that the beverage becomes equal to zero by being greater than zero at a distance from front end face, it is cold to determine that beverage is put back by user
Hide room.
Preferably, the shelf-life modified module, is also used to: the shelf-life of the modification beverage, the shelf-life
Less than or equal to two days.
It should be appreciated that although this specification is described in terms of embodiments, but not each embodiment only includes one
A independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should will say
As a whole, the technical solution in each embodiment may also be suitably combined to form those skilled in the art can for bright book
With the other embodiments of understanding.
The series of detailed descriptions listed above only for feasible embodiment of the invention specifically
Protection scope bright, that they are not intended to limit the invention, it is all without departing from equivalent implementations made by technical spirit of the present invention
Or change should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of method of the modification beverage shelf-life for refrigerator, the front end face of the refrigerator body is provided with can be for shooting
The camera at family and the range sensor that user Yu the front end face distance can be perceived, which comprises the following steps:
Determining that user is less than or equal to the first preset value and determining institute at a distance from the front end face according to the range sensor
When state the door body of refrigerator becomes opening from closing, starts camera and shoot the video flowing comprising user;
According to the video flowing, determine that user takes beverage away, drinks the beverage and beverage is put back into refrigeration from refrigerating chamber
When room, the shelf-life of the beverage is modified.
2. it is according to claim 1 modification the beverage shelf-life method, which is characterized in that it is described according to the video flowing,
Determine that user takes beverage away from refrigerating chamber, comprising:
The processing of stationary object is all filtered to every frame picture in the video flowing, and according to beverage model to every frame
Picture is identified, and carries out track following to obtain beverage trace information, wherein the beverage model is to pass through depth
The neural network practising algorithm training and obtaining;
Determine the beverage when far from front end face according to the beverage trace information, it is determined that user takes beverage away.
3. it is according to claim 1 modification the beverage shelf-life method, which is characterized in that it is described according to the video flowing,
Determine that user drinks the beverage, comprising:
The processing of stationary object is all filtered to every frame picture in the video flowing, and according to beverage model to every frame
Picture is identified, and carries out track following to obtain beverage trace information, wherein the beverage model is to pass through depth
The neural network practising algorithm training and obtaining;
When determining that the beverage is less than or equal to the second preset value at a distance from the mouth of user according to the beverage trace information, determine
User drinks the beverage.
4. it is according to claim 1 modification the beverage shelf-life method, which is characterized in that it is described according to the video flowing,
Determine that beverage is put back into refrigerating chamber by user, comprising:
The processing of stationary object is all filtered to every frame picture in the video flowing, and according to beverage model to every frame
Picture is identified, and carries out track following to obtain beverage trace information, wherein the beverage model is to pass through depth
The neural network practising algorithm training and obtaining;
When determining that the beverage becomes equal to zero by being greater than zero at a distance from front end face according to the beverage trace information, determines and use
Beverage is put back into refrigerating chamber by family.
5. the method for modification beverage shelf-life according to claim 1, which is characterized in that the guarantor of the modification beverage
The matter phase, comprising:
The shelf-life of the modification beverage, the shelf-life are less than or equal to two days.
6. a kind of device of the modification beverage shelf-life for refrigerator, the front end face of the refrigerator body is provided with can be for shooting
The camera at family and the range sensor that user Yu the front end face distance can be perceived, which is characterized in that comprise the following modules:
User's sensing module, for determining that user is less than or equal to the at a distance from the front end face according to the range sensor
When the door body of one preset value and the determining refrigerator becomes opening from closing, starts camera and simultaneously shoot the video comprising user
Stream;
Shelf-life modified module, for according to the video flowing, determine that user takes beverage away from refrigerating chamber, drinks the beverage
And when beverage is put back into refrigerating chamber, the shelf-life of the beverage is modified.
7. the device of modification beverage shelf-life according to claim 6, which is characterized in that the shelf-life modified module,
It is also used to:
The processing of stationary object is all filtered to every frame picture in the video flowing, and according to beverage model to every frame
Picture is identified, and carries out track following to obtain beverage trace information, wherein the beverage model is to pass through depth
The neural network practising algorithm training and obtaining;
Determine the beverage when far from front end face according to the beverage trace information, it is determined that user takes beverage away.
8. the device of modification beverage shelf-life according to claim 6, which is characterized in that the shelf-life modified module,
It is also used to:
The processing of stationary object is all filtered to every frame picture in the video flowing, and according to beverage model to every frame
Picture is identified, and carries out track following to obtain beverage trace information, wherein the beverage model is to pass through depth
The neural network practising algorithm training and obtaining;
When determining that the beverage is less than or equal to the second preset value at a distance from the mouth of user according to the beverage trace information, determine
User drinks the beverage.
9. the device of modification beverage shelf-life according to claim 6, which is characterized in that the shelf-life modified module,
It is also used to:
The processing of stationary object is all filtered to every frame picture in the video flowing, and according to beverage model to every frame
Picture is identified, and carries out track following to obtain beverage trace information, wherein the beverage model is to pass through depth
The neural network practising algorithm training and obtaining;
When determining that the beverage becomes equal to zero by being greater than zero at a distance from front end face according to the beverage trace information, determines and use
Beverage is put back into refrigerating chamber by family.
10. the device of modification beverage shelf-life according to claim 6, which is characterized in that the shelf-life modified module,
It is also used to:
The shelf-life of the modification beverage, the shelf-life are less than or equal to two days.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113551478A (en) * | 2021-07-30 | 2021-10-26 | 珠海格力电器股份有限公司 | Method and device for updating residual shelf life of food and refrigerator |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102472570A (en) * | 2009-07-21 | 2012-05-23 | Lg电子株式会社 | Refrigerator and method of operating same |
CN105259112A (en) * | 2015-11-09 | 2016-01-20 | 小米科技有限责任公司 | Method and device for determining shelf life of food |
CN105823778A (en) * | 2016-03-10 | 2016-08-03 | 北京京东尚科信息技术有限公司 | Article identification method, and apparatus and system thereof |
CN107328164A (en) * | 2017-05-27 | 2017-11-07 | 北京京东尚科信息技术有限公司 | Monitoring method, device, electronic equipment and the storage medium of article storage period |
CN107763956A (en) * | 2016-08-23 | 2018-03-06 | 海信(山东)冰箱有限公司 | A kind of refrigerator and its control method |
CN107944412A (en) * | 2017-12-04 | 2018-04-20 | 国网山东省电力公司电力科学研究院 | Transmission line of electricity automatic recognition system and method based on multilayer convolutional neural networks |
CN108055501A (en) * | 2017-11-22 | 2018-05-18 | 天津市亚安科技有限公司 | A kind of target detection and the video monitoring system and method for tracking |
CN108154078A (en) * | 2017-11-20 | 2018-06-12 | 爱图瓴(上海)信息科技有限公司 | Food materials managing device and method |
-
2018
- 2018-06-29 CN CN201810698950.4A patent/CN108981277B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102472570A (en) * | 2009-07-21 | 2012-05-23 | Lg电子株式会社 | Refrigerator and method of operating same |
CN105259112A (en) * | 2015-11-09 | 2016-01-20 | 小米科技有限责任公司 | Method and device for determining shelf life of food |
CN105823778A (en) * | 2016-03-10 | 2016-08-03 | 北京京东尚科信息技术有限公司 | Article identification method, and apparatus and system thereof |
CN107763956A (en) * | 2016-08-23 | 2018-03-06 | 海信(山东)冰箱有限公司 | A kind of refrigerator and its control method |
CN107328164A (en) * | 2017-05-27 | 2017-11-07 | 北京京东尚科信息技术有限公司 | Monitoring method, device, electronic equipment and the storage medium of article storage period |
CN108154078A (en) * | 2017-11-20 | 2018-06-12 | 爱图瓴(上海)信息科技有限公司 | Food materials managing device and method |
CN108055501A (en) * | 2017-11-22 | 2018-05-18 | 天津市亚安科技有限公司 | A kind of target detection and the video monitoring system and method for tracking |
CN107944412A (en) * | 2017-12-04 | 2018-04-20 | 国网山东省电力公司电力科学研究院 | Transmission line of electricity automatic recognition system and method based on multilayer convolutional neural networks |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113551478A (en) * | 2021-07-30 | 2021-10-26 | 珠海格力电器股份有限公司 | Method and device for updating residual shelf life of food and refrigerator |
CN113551478B (en) * | 2021-07-30 | 2023-04-07 | 珠海格力电器股份有限公司 | Method and device for updating residual shelf life of food and refrigerator |
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