CN109114877A - A kind of food management system based on refrigerator Dynamic Recognition - Google Patents
A kind of food management system based on refrigerator Dynamic Recognition Download PDFInfo
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- 235000013305 food Nutrition 0.000 title claims abstract description 67
- 238000003860 storage Methods 0.000 claims abstract description 18
- 239000000463 material Substances 0.000 claims abstract description 12
- 230000009471 action Effects 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims description 16
- 238000004891 communication Methods 0.000 claims description 13
- 230000006698 induction Effects 0.000 claims description 10
- 238000000605 extraction Methods 0.000 claims description 6
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- 238000012163 sequencing technique Methods 0.000 claims description 5
- 238000013461 design Methods 0.000 claims description 4
- 238000013136 deep learning model Methods 0.000 claims description 3
- 238000005192 partition Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 12
- 238000005516 engineering process Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 2
- 238000003709 image segmentation Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 206010041954 Starvation Diseases 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010411 cooking Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
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- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 235000004280 healthy diet Nutrition 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000009885 systemic effect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 235000013311 vegetables Nutrition 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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
- 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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- 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
- F25D29/005—Mounting of control devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
- G06V40/28—Recognition of hand or arm movements, e.g. recognition of deaf sign language
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- Computer Vision & Pattern Recognition (AREA)
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- Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)
Abstract
The invention discloses a kind of food management systems based on refrigerator Dynamic Recognition, are related to intelligent refrigerator field.The present invention includes image capture device, movement acquisition equipment and intelligent control subsystem, and movement acquisition equipment is used to acquire storage or takes out the movement of food materials, to trigger image collecting device；Image capture device is used to carry out dynamic to access action to take pictures, and obtains pictorial information and is transferred to intelligent control subsystem；Intelligent control subsystem includes intelligent control board, local area network, cloud database and display device.The present invention passes through movement acquisition device acquisition storage or the movement of taking-up food materials, triggering image collecting device carries out dynamic and takes pictures, photographic intelligence is passed into intelligence control system, cloud database in intelligence control system carries out image recognition, and food information is shown by display device, refrigerator inside is avoided using a camera and there is dead angle of taking pictures, and is reduced manufacturing cost, is improved the precision of Image Acquisition.
Description
Technical field
The invention belongs to intelligent refrigerator field, more particularly to a kind of food management system based on refrigerator Dynamic Recognition,
It is specially a kind of to be taken pictures by infrared induction mode to people's storage and taking-up food materials movement, carry out the technology of image recognition.
Background technique
With the development of electronic information technology, smart home technology enters the life of the mankind, and intelligent refrigerator is as intelligent family
The important component in residence causes the attention of numerous research institutions and enterprise.Take a broad view of various intelligent refrigerator concepts, main function
It can include: multimedia function, audio, image, video, cable television and display electronics text can be played on intelligent refrigerator
Shelves；Food management function, intelligent refrigerator can identify the information such as type, quantity of food in refrigerator, and can be in inanition
When remind user purchase, can also according to the type of food recommend menu, advocate healthy diet；Network connecting function, intelligent ice
The case where case can be attached with user by mobile phone or internet, user is allow remotely to understand food in refrigerator, into
And good buying food.
Current cloud image recognition refrigerator on the market, be to multiple technologies such as cloud computing, Internet of Things, big data, frequency conversions
The integration of progress realizes intelligent food control, teleordering vegetables, refrigerator is allowed to be truly realized intelligence.With traditional intelligence
Refrigerator is different, and cloud image recognition technology obtains food picture by image capturing system and uploads cloud, knows with exclusive image
Other algorithm, is converted to the information list of food.Meanwhile in conjunction with freshness date database, the prompting function of food shelf-life is realized, most
Realize that cloud integration in end is shared from cloud to mobile phone terminal and Product Terminal eventually.
As the important component of intelligent refrigerator, food management system believes the inventory that refrigerator inside is provided for user
Breath, and intelligent menu is released accordingly, purchase request is issued the user with, by connecting with internet, user is made remotely to understand refrigerator
Food information.To realize that this function, existing intelligent refrigerator food systems are mostly to pass through radio frequency based on technology of Internet of things
It identifies the information sensing devices such as (RFID), infrared inductor, laser inductor, carries out information exchange and communication, realize to article
Identification and management.And dynamic image identifying schemes proposed in this paper, then be on intelligent refrigerator install infrared sensor and
Camera accesses acquisition food movement to people and takes pictures, passes through image recognition technology, the final knowledge realized to food in refrigerator
Not.
To avoid the deficiencies in the prior art, there has been proposed various technical solutions, are based on as Chinese patent document discloses
The refrigerator content management system [CN201710056579.7] of image recognition, it passes through the first camera being arranged on chamber door
With the second camera being arranged on cabinet, the shaft for connecting chamber door and cabinet, and energy is arranged in angular transducer
Enough pivoting angle of the detection chamber door relative to cabinet, main control module and the first camera, second camera and angular transducer connect
It is logical, and can be according to the angle of pivot for angle information control the first camera and second camera that angular transducer detects
Degree, so as in optimum distance with the image of the content in best angle acquisition refrigerator, but this scheme disadvantage also ten
It is clearly demarcated aobvious, due to being static acquisition refrigerator intraluminal interior image, needs multiple cameras while cooperating and also needing to refrigerator
The pivoting angle of door carries out judgement processing, and easily the factors such as being blocked by shelf in camera shooting visual angle and refrigerator is influenced, very
It is easy to appear shooting blind angle amount problem, influences image recognition, Expenses Cost while has also influenced the precision of Image Acquisition.
Therefore, the present invention provides a kind of food management systems based on refrigerator Dynamic Recognition, only use a camera
It is just avoided that in refrigerator dead angle of taking pictures occur, can effectively solve the problem that the above problem.
Summary of the invention
The purpose of the present invention is to provide a kind of food management systems based on refrigerator Dynamic Recognition, pass through movement acquisition dress
It sets acquisition storage or takes out the movement of food materials, triggering image collecting device carries out dynamic and takes pictures, and photographic intelligence is passed to intelligence
It can control system, the cloud database in intelligence control system carries out image recognition, Item Information is stored in database and by aobvious
Showing device shows food information, solves existing refrigerator image collecting device and multiple cameras is needed to cooperate, be easy to deposit
In dead angle and the bad problem of Image Acquisition of taking pictures.
In order to solve the above technical problems, the present invention is achieved by the following technical solutions:
The present invention is a kind of food management system based on refrigerator Dynamic Recognition, including image capture device, movement acquisition
Equipment and intelligent control subsystem, the movement that the movement acquisition equipment is used to acquire storage or take out food materials, to trigger figure
As acquisition device；Described image acquisition equipment is used to carry out dynamic to access action to take pictures, and obtains pictorial information and is transferred to intelligence
Control subsystem；The intelligent control subsystem includes intelligent control board, local area network, cloud database and display device；Wherein, institute
It states intelligent control board output end and passes through local area network and cloud database two-way communication link；The movement acquisition device output end and figure
As acquisition device input terminal is electrically connected；Described image acquisition device output end and intelligent control board input terminal are electrically connected；Institute
The output end and display device for stating intelligent control board are electrically connected.
Preferably, described image acquisition device is the CCD camera with electronic shutter, and the CCD camera is fast
Door speed was less than 0.01 second.
Preferably, the movement acquisition module is infrared induction module；The infrared induction module include infrared transmitter,
Infrared remote receiver and master chip, and the infrared induction module includes at least two infrared transmitters and at least one infrared receiver
Device.
Preferably, the display device is LED display or mobile intelligent terminal.
Preferably, the local area network be one of bluetooth communication module, WIFI communication module, ZigBee communication module or
It is a variety of.
Preferably, a kind of dynamic identifying method of food management system based on refrigerator Dynamic Recognition includes as follows
Step:
Step 1: movement acquisition device monitors that user acquires storage or takes out the movement of food materials；
Step 2: the close sequencing of manpower is sensed according to two infrared sensors, to judge the storage of food still
It takes out；
Step 3: movement acquisition device triggering image collecting device takes pictures to access action；
Step 4: image collecting device pre-processes acquired image using image partition method；
Step 5: being based on deep learning model extraction characteristics of image；
Step 6: classifier design and categorised decision are carried out to the picture that feature extraction is completed.
The invention has the following advantages:
The present invention is carried out by movement acquisition device acquisition storage or the movement of taking-up food materials, triggering image collecting device
Dynamic is taken pictures, and photographic intelligence is passed to intelligence control system, and the cloud database in intelligence control system carries out image recognition, will
Item Information is stored in database and shows food information by display device, avoids refrigerator inside using a camera and exists
It takes pictures dead angle, reduces production cost, improve the precision of Image Acquisition.
Certainly, it implements any of the products of the present invention and does not necessarily require achieving all the advantages described above at the same time.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of structural block diagram of food management system based on refrigerator Dynamic Recognition of the invention；
Fig. 2 is image dynamic identifying method block diagram of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, the present invention is a kind of food management system based on refrigerator Dynamic Recognition, including Image Acquisition
Equipment, movement acquisition equipment and intelligent control subsystem；
Movement acquisition equipment is used to acquire storage or takes out the movement of food materials, to trigger image collecting device；Image is adopted
Collection equipment is used to carry out dynamic to access action to take pictures, and obtains pictorial information and is transferred to intelligent control subsystem；Image collector
Acquisition device is set and acts to be installed at the top of refrigerator body；
Intelligent control subsystem includes intelligent control board, local area network, cloud database and display device；Wherein, intelligent control
Plate output end passes through local area network and cloud database two-way communication link；It acts acquisition device output end and image collecting device inputs
End is electrically connected；Image collecting device output end and intelligent control board input terminal are electrically connected；The output end of intelligent control board with
Display device is electrically connected；Cloud database includes systemic presupposition data comparison module；To the image after image recognition, preset
Data comparison is capable of the guarantee date of Rapid matching varieties of food items, avoids because of the expired waste food materials of food.
Wherein, image collector is set to the CCD camera with electronic shutter, and the shutter speed of CCD camera is less than
0.01 second；Shutter speed is faster, and the time that camera lens is opened is shorter, and the amount of light arrival CCD is fewer namely light exposure is got over
It is few；The electronic shutter of CCD camera is whole before light integral starts while resetting, and then all photodiodes start to gather
Charge simultaneously continues for some time；At the end of integral process, transferred grid are transmitted to and keep in grid to all photogenerated charges simultaneously,
Then it sequentially reads, commonly referred to as this shutter mode is global shutter；Therefore, shooting moving object will not generate pattern distortion.
Wherein, movement acquisition module is infrared induction module；Infrared induction module includes infrared transmitter, infrared remote receiver
And master chip, and infrared induction module includes at least two infrared transmitters and at least one infrared remote receiver, two infrared biographies
The sequencing that sensor is used to incude the movement of manpower access food judges that user is storage food or takes food, when people deposits
When putting food, hand channel crosses No.1 infrared sensor and No. two infrared sensors all pass information to intelligence control system, CCD
Camera is not taken pictures, and when manpower passes through No. 2 infrared sensors, No. 2 infrared sensors pass information to intelligence control system,
Intelligence control system order CCD camera is taken pictures, and after picture is passed to intelligence control system, control system is to picture processing, label
This picture is the picture for being stored in food；Using double infrared sensors, the movement for accessing food for people carries out identification localization process,
It can accurately judge storage or take out the movement of food, and pass information to intelligence control system, picture is believed
Breath is edited, and is avoided identification food access confusion, is greatly improved the intelligent level of refrigerator.
Wherein, display device is LED display or mobile intelligent terminal, if display device is LED display, LED is aobvious
Refrigerator door outer surface is embedded in when display screen；If display device is mobile intelligent terminal, mobile terminal can be mobile phone or flat
Plate computer, display device can show the specifying information of food, specifying information include the type of food, quantity, the shelf-life and
The cooking methods of recommendation, and can be to expired food is carried out prompting message, the case where avoiding the occurrence of food expired waste
Occur；Shelf-life, which can be manually entered, to be judged according to the shelf-life data for the food that database stores in advance.
Wherein, local area network is one of bluetooth communication module, WIFI communication module, ZigBee communication module or a variety of.
It please refers to shown in Fig. 2, a kind of dynamic identifying method of the food management system based on refrigerator Dynamic Recognition includes such as
Lower step:
Step 1: movement acquisition device monitors that user acquires storage or takes out the movement of food materials；
Step 2: the close sequencing of manpower is sensed according to two infrared sensors, to judge the storage of food still
It takes out；The particular content of judgement are as follows: carry out dynamic for the movement that manpower accesses every time and take pictures, detected using infrared sensor
The movement of people, but single infrared sensing is only able to detect people close to refrigerator, cannot judge to store food or take out food
Movement；Therefore, using two infrared sensors, the close sequencing of manpower is sensed by two infrared sensors, to sentence
The storage of jejunitas object is still taken out, and is taken pictures to This move, and both gesture dynamic was taken pictures；
Step 3: movement acquisition device triggering image collecting device takes pictures to access action；
Step 4: image collecting device pre-processes acquired image using image partition method；Image segmentation
Purpose is to understand the content of image, extracts interested object, and the content of requirement and specific image according to concrete application will
Image segmentation is at one piece of block region；Divide the image into out the frame that most frames is then most likely to be food；
Step 5: being based on deep learning model extraction characteristics of image；Deep learning be it is a kind of based on unsupervised feature learning and
The learning method of feature hierarchy structure.By constructing the model and magnanimity training data of more hidden layers, to learn more useful feature,
To finally promote the accuracy of classification or prediction；
Step 6: classifier design and categorised decision are carried out to the picture that feature extraction is completed；The design of classifier be in order to
Reasonable discriminant function is designed, the phase same sex and specificity are usually had according to its object in plane and spatial image and region,
And experience and application requirement, it needs with certain similarity but not fully the same object and region affiliation to be one kind；
It can usually be set according to decision rules such as minimum distance principle, linear discriminant function, statistical decision theory and artificial neural networks
Count discriminant function；In the statistical classification for having supervision, region of each classification in feature space is had determined that in advance, in order to
To identified sample classification, a discriminant function can be designed for each classification.
It is worth noting that, included each unit is only drawn according to function logic in the above system embodiment
Point, but be not limited to the above division, as long as corresponding functions can be realized；In addition, each functional unit is specific
Title is also only for convenience of distinguishing each other, the protection scope being not intended to restrict the invention.
In addition, those of ordinary skill in the art will appreciate that realizing all or part of the steps in the various embodiments described above method
It is that relevant hardware can be instructed to complete by program, corresponding program can store to be situated between in a computer-readable storage
In matter.
Present invention disclosed above preferred embodiment is only intended to help to illustrate the present invention.There is no detailed for preferred embodiment
All details are described, are not limited the invention to the specific embodiments described.Obviously, according to the content of this specification,
It can make many modifications and variations.These embodiments are chosen and specifically described to this specification, is in order to better explain the present invention
Principle and practical application, so that skilled artisan be enable to better understand and utilize the present invention.The present invention is only
It is limited by claims and its full scope and equivalent.
Claims (6)
1. a kind of food management system based on refrigerator Dynamic Recognition, including image capture device, movement acquisition equipment and intelligence
Control subsystem, it is characterised in that:
The movement that the movement acquisition equipment is used to acquire storage or take out food materials, to trigger image collecting device；The figure
It is used to carry out dynamic to access action to take pictures as acquiring equipment, obtains pictorial information and be transferred to intelligent control subsystem；
The intelligent control subsystem includes intelligent control board, local area network, cloud database and display device；Wherein, the intelligence
Control panel output end passes through local area network and cloud database two-way communication link；The movement acquisition device output end and Image Acquisition
Device input terminal is electrically connected；Described image acquisition device output end and intelligent control board input terminal are electrically connected；The intelligence
The output end and display device of control panel are electrically connected.
2. a kind of food management system based on refrigerator Dynamic Recognition according to claim 1, which is characterized in that the figure
As acquisition device is the CCD camera with electronic shutter, and the shutter speed of the CCD camera was less than 0.01 second.
3. a kind of food management system based on refrigerator Dynamic Recognition according to claim 1, which is characterized in that described dynamic
Making acquisition module is infrared induction module；The infrared induction module includes infrared transmitter, infrared remote receiver and master chip, and
The infrared induction module includes at least two infrared transmitters and at least one infrared remote receiver.
4. a kind of food management system based on refrigerator Dynamic Recognition according to claim 1, which is characterized in that described aobvious
Showing device is LED display or mobile intelligent terminal.
5. a kind of food management system based on refrigerator Dynamic Recognition according to claim 1, which is characterized in that the office
Domain net is one of bluetooth communication module, WIFI communication module, ZigBee communication module or a variety of.
6. a kind of dynamic identifying method of food management system based on refrigerator Dynamic Recognition as described according to claim 1-5
Include the following steps:
Step 1: movement acquisition device monitors that user acquires storage or takes out the movement of food materials；
Step 2: the close sequencing of manpower is sensed according to two infrared sensors, to judge that the storage of food still takes
Out；
Step 3: movement acquisition device triggering image collecting device takes pictures to access action；
Step 4: image collecting device pre-processes acquired image using image partition method；
Step 5: being based on deep learning model extraction characteristics of image；
Step 6: classifier design and categorised decision are carried out to the picture that feature extraction is completed.
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| CN201810916068.2A CN109114877A (en) | 2018-08-13 | 2018-08-13 | A kind of food management system based on refrigerator Dynamic Recognition |
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| CN201810916068.2A CN109114877A (en) | 2018-08-13 | 2018-08-13 | A kind of food management system based on refrigerator Dynamic Recognition |
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| CN111486656A (en) * | 2020-04-08 | 2020-08-04 | 海信（山东）冰箱有限公司 | Refrigeration equipment and control method thereof |
| CN112270217A (en) * | 2020-10-13 | 2021-01-26 | 深圳拓邦股份有限公司 | Local image recognition device, system and method applied to intelligent household electrical appliance |
| CN113606858A (en) * | 2021-08-10 | 2021-11-05 | 长虹美菱股份有限公司 | Refrigerator temperature setting and correction reminding device and control method |
| CN113883818A (en) * | 2021-09-30 | 2022-01-04 | 创维电器股份有限公司 | Method for realizing food tracking and food management of refrigerator freezing chamber |
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| CN113606858A (en) * | 2021-08-10 | 2021-11-05 | 长虹美菱股份有限公司 | Refrigerator temperature setting and correction reminding device and control method |
| CN113883818A (en) * | 2021-09-30 | 2022-01-04 | 创维电器股份有限公司 | Method for realizing food tracking and food management of refrigerator freezing chamber |
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