WO2014146430A1 - Méthode et dispositif d'enregistrement pour emplacement de stockage de nourriture dans un réfrigérateur, terminal et réfrigérateur - Google Patents

Méthode et dispositif d'enregistrement pour emplacement de stockage de nourriture dans un réfrigérateur, terminal et réfrigérateur Download PDF

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Publication number
WO2014146430A1
WO2014146430A1 PCT/CN2013/086186 CN2013086186W WO2014146430A1 WO 2014146430 A1 WO2014146430 A1 WO 2014146430A1 CN 2013086186 W CN2013086186 W CN 2013086186W WO 2014146430 A1 WO2014146430 A1 WO 2014146430A1
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WO
WIPO (PCT)
Prior art keywords
food
storage location
image
identified
refrigerator
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Application number
PCT/CN2013/086186
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English (en)
Chinese (zh)
Inventor
黄橙
刘剑
万同利
娄喜才
Original Assignee
海尔集团公司
青岛海尔股份有限公司
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Application filed by 海尔集团公司, 青岛海尔股份有限公司 filed Critical 海尔集团公司
Publication of WO2014146430A1 publication Critical patent/WO2014146430A1/fr

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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

Definitions

  • the invention relates to the technical field of smart home appliances, in particular to a method, a device, a terminal and a refrigerator for recording a food storage location in a refrigerator.
  • some smart refrigerators are loaded with an intelligent control terminal, such as a tablet computer, on the basis of a conventional refrigerator.
  • the user inputs the names of the foods stored in the refrigerator in the intelligent control terminal by manual input.
  • the intelligent control terminal records the storage location of each food, and carries out subsequent management.
  • the method of manually inputting the name of the food and the storage location in the refrigerator can only operate for one food at a time.
  • the refrigerator stores more food, it needs manual operation for a long time, and information is entered. It is less efficient and it is difficult to guarantee the accuracy of manual operations.
  • the embodiment of the invention provides a method, a device, a terminal and a refrigerator for recording a food storage location in a refrigerator, which are used to solve the problem of low efficiency of food storage location information entry in the prior art.
  • the embodiment of the invention provides a method for recording a food storage location in a refrigerator, comprising:
  • the identified food item is recorded in a storage location in the refrigerator characterized by the storage location mark.
  • the embodiment of the invention provides a food storage location recording device in a refrigerator, comprising:
  • An obtaining unit configured to obtain a food collection image obtained by photographing an internal storage space of the refrigerator
  • a determining unit configured to determine a storage location mark existing in the food collection image, and a region range corresponding to the storage location mark in the food collection image
  • a recognition unit configured to identify a food present in a region corresponding to the storage location mark
  • a recording unit configured to record the identified storage location of the food stored in the refrigerator in the storage location mark.
  • the embodiment of the invention further provides an intelligent control terminal, comprising the food storage location recording device in the refrigerator.
  • the embodiment of the invention further provides a refrigerator, comprising the above intelligent control terminal.
  • the storage location included in the storage space of the refrigerator is provided with a storage location mark, and the internal storage space of the refrigerator is directly photographed to obtain a food collection image, and the area corresponding to the storage location mark in the food collection image is determined. Scope, further identifying the foods existing in the area, that is, determining the storage location of each food in the refrigerator while determining the name of each stored food, and recording, so that manual input is not required, and the food can be improved. The entry efficiency of the location information is stored, and the accuracy of the information is guaranteed.
  • FIG. 1 is a flowchart of a method for recording a food storage location in a refrigerator according to an embodiment of the present invention
  • FIG. 2 is a flowchart of a method for recording a food storage location in a refrigerator according to Embodiment 1 of the present invention
  • FIG. 3 is a flowchart of a food identification method according to Embodiment 1 of the present invention.
  • FIG. 4 is a flowchart of a method for recording a food storage location in a refrigerator according to Embodiment 2 of the present invention.
  • FIG. 5 is a schematic structural diagram of a food storage location recording apparatus in a refrigerator according to Embodiment 3 of the present invention.
  • the present invention provides a method, a device, and a refrigerator for recording a food storage location in a refrigerator.
  • the preferred embodiment of the present invention is described below with reference to the accompanying drawings.
  • the preferred embodiments described herein are for illustrative purposes only and are not intended to limit the invention. And in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.
  • An embodiment of the present invention provides a method for recording a food storage location in a refrigerator, as shown in FIG. 1 , including:
  • Step 101 Obtain a food collection image obtained by photographing an internal storage space of the refrigerator.
  • Step 102 Determine a storage location mark existing in the food collection image, and a region range corresponding to the storage location mark in the food collection image.
  • Step 103 Identify the food present in the area corresponding to the storage location mark.
  • Step 104 Record the identified food item in a storage location in the refrigerator that is represented by the storage location mark.
  • the storage space in the refrigerator is first divided into a plurality of subspaces, and a storage location flag indicating a storage location is set in each subspace, that is, a subspace is A storage space corresponding to a storage location.
  • a subspace is A storage space corresponding to a storage location.
  • any terminal having a shooting function can be used.
  • the intelligent control terminal with a shooting function loaded on the refrigerator can be directly used.
  • the storage location indications present in the food collection image may be one or more based on different shooting modes of the user; the area corresponding to the storage location mark in the food collection image may be the entire area of the food collection image. It may also be a partial area of the food collection image.
  • the food identification method in step 103 may adopt image recognition, barcode recognition, etc., and preferably combines image recognition and barcode recognition according to the embodiment of the present invention, which can improve the accuracy and recognition of food identification. rate.
  • the user only photographs a subspace, that is, a storage space corresponding to a storage location, and may capture all of the subspace, or may capture a part of the subspace, but the sub-space must be captured.
  • Storage location sign for space.
  • Embodiment 1 of the present invention is a flowchart of a method for recording a food storage location in a refrigerator according to Embodiment 1 of the present invention, which specifically includes:
  • Step 201 Acquire a photographed food collection image.
  • Step 202 Determine a storage location identifier existing in the food collection image, and determine a region range corresponding to the storage location identifier as all regions in the food collection image.
  • the specific form of the storage location mark may be various, and preferably, a barcode may be employed. Further, in order to distinguish the one-dimensional barcode carried on the food in the refrigerator, the storage location mark may adopt a two-dimensional barcode.
  • Step 203 Identify foods present in the food collection image.
  • Step 204 Record the identified food item in a storage location in the refrigerator that is represented by the storage location mark.
  • the user may also display the food icon corresponding to the stored food in the refrigerator and its storage location in the refrigerator.
  • the enhanced display technology may be employed to improve the user experience.
  • FIG. 3 is a flowchart of a food identification method according to Embodiment 1 of the present invention, which specifically includes:
  • Step 301 Determine an image of the food to be identified that exists in a region range corresponding to the storage location mark.
  • the step includes pre-processing the area range corresponding to the storage location mark in the food collection image, performing contour detection and background segmentation of the food to be identified, etc. This part is prior art, and therefore will not be described in detail herein.
  • Step 302 Determine whether a food identification barcode exists in the image of the food to be identified.
  • step 303 When the food identification barcode is present in the food image to be identified, the process proceeds to step 303; when the food identification barcode is not present in the food image to be identified, the process proceeds to step 304.
  • Step 303 Determine that the food in the food image to be identified is a food characterized by a food identification barcode, and end the food identification process.
  • the food can be identified by the food identification barcode without performing subsequent steps.
  • Step 304 Extract a feature vector of the food image to be identified.
  • the method for extracting the food image feature vector to be identified in this step corresponds to the method for establishing the correspondence between the food and the feature vector.
  • the correspondence between the preset food and the feature vector may be as follows. set up:
  • the sample image of the plurality of samples of the food may be determined first.
  • the average of the color feature values, the average of the shape feature values of the sample images of the plurality of samples of the food, and the average of the texture feature values of the sample images of the plurality of samples of the food; the average of the color feature values The average value of the shape feature values and the average value of the texture feature values directly as the components of the feature vector constitute the feature vector corresponding to the food.
  • the color feature value interval corresponding to the food image of the plurality of samples of the food product is first determined, and the shape characteristic value of the sample image of the plurality of samples of the food product is used to determine the corresponding food product.
  • the method when extracting the feature vector of the food image to be identified, the method includes the following steps:
  • the color feature value, the shape feature value, and the texture of the food image to be identified may be specifically The feature value directly serves as a component of the feature vector, and constitutes a feature vector of the food image to be identified.
  • the color feature value preset interval of the color feature value of the food image to be identified is determined first, and the shape feature value preset interval of the shape feature value of the food image to be identified and the texture feature value of the food image to be identified are determined.
  • the texture feature value preset interval is set; and the feature vector of the food image to be identified is determined based on the color feature value preset interval, the shape feature value preset interval, and the texture feature value preset interval.
  • Step 305 Determine, among the plurality of feature vectors corresponding to the different foods, whether there is a feature vector whose correlation degree with the feature vector of the food image to be identified is greater than a preset value.
  • step 306 when a plurality of feature vectors respectively corresponding to different foods are preset, if there is a feature vector whose correlation degree with the feature vector of the food image to be identified is greater than a preset value, the process proceeds to step 306; when the preset corresponds to different foods respectively When there is no feature vector between the plurality of feature vectors and the feature vector of the food image to be identified that is greater than the preset value, it is determined that the food cannot be identified, and the food identification process is ended.
  • Step 306 Select, from the preset plurality of feature vectors respectively corresponding to different foods, a feature vector having the greatest correlation with the feature vector of the food image to be identified as the matched feature vector.
  • Step 307 Determine that the food in the food image to be identified is a food corresponding to the matching feature vector.
  • the food identification method described above combines bar code recognition and image recognition, and prioritizes bar code recognition.
  • the first embodiment of the present invention may also adopt a scheme of priority image recognition, or adopt a scheme of bar code recognition and image recognition simultaneously, based on respective identifications.
  • the results determine the final food identification results.
  • the user photographs a plurality of subspaces, that is, a storage space corresponding to a plurality of storage locations, and may capture all of the plurality of subspaces, or may capture a part of the plurality of subspaces.
  • Embodiment 4 is a flowchart of a method for recording a food storage location in a refrigerator according to Embodiment 2 of the present invention, which specifically includes:
  • Step 401 Acquire a photographed food collection image.
  • Step 402 Determine a plurality of storage location markers existing in the food collection image, and a region range corresponding to the plurality of storage location markers in the food collection image.
  • the storage location mark is a two-dimensional barcode.
  • the specified range based on the storage location flag in the food collection image may be determined as the region range corresponding to the storage location flag.
  • the specified range is specifically related to the position of the storage location indicated in the storage space corresponding to the storage location.
  • the storage location indication when the storage location indication is located at the center of the storage space corresponding to the storage location, it may be determined at this time that the region corresponding to the storage location marker is specified to be extended to the periphery around the storage location marker in the food collection image.
  • the size of the specified range is positively correlated with the size of the storage location mark in the food collection image.
  • the specified range is larger; when the storage location mark is smaller in the food collection image, the specified range is smaller.
  • Step 403 Identify food products existing in a range corresponding to the plurality of storage location markers.
  • the food identification method in the step 203 of the above embodiment 1 can also be used in this step, as shown in FIG. 3, and will not be described in detail herein.
  • Step 404 Record the identified food items stored in the storage location indicated by the corresponding storage location mark in the refrigerator.
  • the user may also display the food icon corresponding to the stored food in the refrigerator and its storage location in the refrigerator.
  • the enhanced display technology may be employed to improve the user experience.
  • the food storage location recording method in the refrigerator avoids manual manual input of the food storage location, can improve the input efficiency of the food storage location information, and ensures the accuracy of the information.
  • the food storage location recording method in the refrigerator according to the above embodiment of the present invention correspondingly, the third embodiment of the present invention further provides a food storage location recording device in the refrigerator, the structure of which is shown in FIG. Specifically include:
  • the obtaining unit 501 is configured to acquire a food collection image obtained by photographing an internal storage space of the refrigerator;
  • a determining unit 502 configured to determine a storage location identifier existing in the food collection image, and a region range corresponding to the storage location identifier in the food collection image;
  • the identifying unit 503 is configured to identify a food present in a region corresponding to the storage location mark;
  • the recording unit 504 is configured to record the identified storage location of the food stored in the refrigerator and characterized by the storage location mark.
  • the obtaining unit 501 is specifically configured to acquire a food collection image obtained by capturing a storage space corresponding to a storage location inside the refrigerator;
  • the determining unit 502 is specifically configured to determine a storage location identifier existing in the food collection image, and determine a region range corresponding to the storage location identifier as all regions in the food collection image.
  • the determining unit 502 is specifically configured to determine a plurality of storage location markers present in the food collection image, and a region range corresponding to the plurality of storage location markers in the food collection image.
  • the determining unit 502 is specifically configured to determine, for each of the plurality of storage location markers, a region range corresponding to the storage location identifier as the storage location identifier in the food collection image A specified range of the reference, wherein the size of the specified range is positively correlated with the size of the storage location mark in the food collection image.
  • the identifying unit 503 is specifically configured to determine an image of the food to be identified that exists in the area corresponding to the storage location mark; and when there is a food identification barcode in the image of the food to be identified, determine the food in the image of the food to be identified a food product characterized by a bar code for the food; when there is no food identification bar code in the image of the food to be identified, extracting a feature vector of the image of the food to be identified; and selecting and selecting a plurality of feature vectors corresponding to different foods respectively
  • the correlation between the feature vectors of the food image to be identified is greater than a preset value, and the feature vector having the greatest correlation with the feature vector of the food image to be identified is used as a matching feature vector; determining the image of the food to be identified
  • the food in the food is the food corresponding to the matching feature vector.
  • the identifying unit 503 is specifically configured to extract a color feature value, a shape feature value, and a texture feature value of the food image to be identified; and determine, according to the color feature value, the shape feature value, and the texture feature value of the food image to be identified. a feature vector of the food image to be identified;
  • the identification unit 503 is further configured to extract color feature values, shape feature values, and texture feature values of sample images of the plurality of samples of the same food product; color feature values and shapes of the sample images of the plurality of samples based on the same food product.
  • the feature value and the texture feature value determine a feature vector corresponding to the food.
  • Embodiment 4 of the present invention further provides an intelligent control terminal, which comprises the food storage location recording device in the refrigerator as shown in FIG. 5.
  • Embodiment 5 of the present invention further provides a refrigerator, including the above intelligent control terminal.
  • the solution provided by the embodiment of the present invention includes: acquiring a food collection image obtained by photographing an internal storage space of the refrigerator; determining a storage location mark existing in the food collection image, and storing the storage in the food collection image. a range of areas corresponding to the object position mark; identifying a food item existing in the area corresponding to the storage position mark; recording the identified food item stored in the refrigerator in the storage position indicated by the storage position mark.
  • the food storage location recording device in the refrigerator provided by the embodiment of the present application can be realized by a computer program.
  • Those skilled in the art should be able to understand that the unit division manner described above is only one of a plurality of unit division manners. If the division into other units or non-divided units, as long as the food storage location recording device in the refrigerator has the above functions, it should be in this Within the scope of protection of the application.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

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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

L'invention concerne une méthode et un dispositif d'enregistrement pour un emplacement de stockage de nourriture dans un réfrigérateur, un terminal et un réfrigérateur. La méthode d'enregistrement consiste à : acquérir une image de collecte de nourriture obtenue en photographiant l'espace de stockage intérieur du réfrigérateur ; déterminer une marque d'emplacement de stockage d'objet existant dans l'image de collecte de nourriture et une région délimitée correspondant à la marque d'emplacement de stockage d'objet dans l'image de collecte de nourriture ; identifier la nourriture existant dans la région délimitée correspondant à la marque d'emplacement de stockage d'objet ; et enregistrer un emplacement de stockage d'objet caractérisé par la marque d'emplacement de stockage d'objet dans lequel la nourriture identifiée est stockée dans le réfrigérateur. En utilisant la méthode d'enregistrement, on peut augmenter l'efficacité de saisie des informations d'emplacement de stockage à propos de la nourriture dans le réfrigérateur.
PCT/CN2013/086186 2013-03-18 2013-10-30 Méthode et dispositif d'enregistrement pour emplacement de stockage de nourriture dans un réfrigérateur, terminal et réfrigérateur WO2014146430A1 (fr)

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CN108170781A (zh) * 2017-12-26 2018-06-15 中山大学 一种家居仓储物品的精确定位方法及系统
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