WO2020054609A1 - Dispositif de cuisson - Google Patents

Dispositif de cuisson Download PDF

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Publication number
WO2020054609A1
WO2020054609A1 PCT/JP2019/035169 JP2019035169W WO2020054609A1 WO 2020054609 A1 WO2020054609 A1 WO 2020054609A1 JP 2019035169 W JP2019035169 W JP 2019035169W WO 2020054609 A1 WO2020054609 A1 WO 2020054609A1
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WO
WIPO (PCT)
Prior art keywords
unit
heated
image recognition
candidates
candidate
Prior art date
Application number
PCT/JP2019/035169
Other languages
English (en)
Japanese (ja)
Inventor
志奇 黄
貞平　匡史
幸　裕弘
Original Assignee
パナソニックＩｐマネジメント株式会社
Priority date (The priority date 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 date listed.)
Filing date
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Application filed by パナソニックＩｐマネジメント株式会社 filed Critical パナソニックＩｐマネジメント株式会社
Priority to CN201980003781.0A priority Critical patent/CN111183317A/zh
Priority to JP2019569854A priority patent/JP7403044B2/ja
Publication of WO2020054609A1 publication Critical patent/WO2020054609A1/fr

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
    • F24C7/00—Stoves or ranges heated by electric energy
    • F24C7/04—Stoves or ranges heated by electric energy with heat radiated directly from the heating element
    • F24C7/043—Stoves
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
    • F24C15/00—Details
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
    • F24C7/00—Stoves or ranges heated by electric energy
    • F24C7/02—Stoves or ranges heated by electric energy using microwaves
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B6/00—Heating by electric, magnetic or electromagnetic fields
    • H05B6/02—Induction heating
    • H05B6/10—Induction heating apparatus, other than furnaces, for specific applications
    • H05B6/12—Cooking devices

Definitions

  • the present disclosure relates to a cooking device.
  • microwave ovens have a radiation heating function and a steam heating function in addition to the microwave heating function.
  • a heating cooker has a cooking menu suitable for the food material to be heated, and performs heating suitable for the type of food (rice, milk, vegetables, etc.) selected by the cooking menu button. There are models that can do this.
  • a heating cooker having a camera arranged in a heating chamber and automatically heating the object according to the type of an object to be heated specified by image recognition.
  • heating suitable for the object to be heated can be automatically performed without the user selecting the type of the object to be heated.
  • Patent Document 1 In order to solve this problem, the following heating cooker has been proposed (for example, see Patent Document 1).
  • the heating cooker described in Patent Literature 1 extracts, for example, three candidates from a large number of candidates for an object to be heated based on the result of image recognition, and displays the candidates in the order of the certainty of the recognition. The user selects one of the displayed candidates using a selection button or the like.
  • Patent Literature 1 The heating cooker described in Patent Literature 1 has a large number of candidates for the object to be heated even when there is no object to be heated in the heating chamber or when a foreign substance (a non-food item such as a dish) is contained in the heating chamber. Extract and display some candidates.
  • Patent Literature 1 when machine learning such as deep learning is used for image recognition, the cooking device described in Patent Literature 1 always uses some of a large number of objects to be heated based on some certainty. Extract and display candidates.
  • the heating cooker described in Patent Literature 1 may perform unnecessary heating or display unnecessary candidates every time.
  • the present disclosure provides a heating cooker that does not perform heating and does not display unnecessary candidates when an object to be heated is not arranged in a heating chamber or when a foreign object is placed in the heating chamber. With the goal.
  • a heating cooker includes a heating cooker, a photographing unit, an image recognition unit, an adjustment unit, and a display unit.
  • the heating cooking unit heats the object to be heated.
  • the imaging unit captures an image of the object to be heated.
  • the image recognition unit performs image recognition on the image of the object to be heated, and extracts a plurality of candidates for the object to be heated based on the likelihood. Further, the image recognition unit determines that the object to be heated is not disposed in the heating cooking unit and that the object to be heated is a foreign substance.
  • the adjustment unit adjusts the display order of the plurality of candidates extracted by the image recognition unit.
  • the display unit displays a plurality of candidates in the display order adjusted by the adjustment unit. Further, the display unit, when the image recognition unit determines that the object to be heated is not disposed in the heating cooking unit, or when the image recognition unit determines that the object to be heated is a foreign substance, Don't show suggestions for
  • the heating cooker according to this aspect can prevent unnecessary heating and display of unnecessary candidates when an object to be heated is not arranged in the heating chamber or when a foreign object is placed in the heating chamber. it can.
  • FIG. 1 is a block diagram illustrating a configuration of the heating cooker according to the embodiment.
  • FIG. 2 is a block diagram illustrating a configuration of a microwave oven with an oven function, which is a heating cooker according to the embodiment.
  • FIG. 3 is a diagram illustrating an example of a candidate list stored in the candidate storage unit.
  • FIG. 4 is a diagram illustrating an example of a selection history table stored in the history storage unit.
  • FIG. 5 is a flowchart of cooking control in the heating cooker according to the embodiment.
  • FIG. 6 is a flowchart for extracting candidates in cooking control.
  • FIG. 7 is a diagram illustrating a first example of a candidate extraction result.
  • FIG. 8 is a diagram illustrating a second example of a candidate extraction result.
  • FIG. 1 is a block diagram illustrating a configuration of the heating cooker according to the embodiment.
  • FIG. 2 is a block diagram illustrating a configuration of a microwave oven with an oven function, which is a heating cooker according to the embodiment
  • FIG. 9 is a diagram illustrating a third example of a candidate extraction result.
  • FIG. 10 is a flowchart of adjusting the display order in the cooking control.
  • FIG. 11 is a diagram illustrating an example of a display screen of the display unit in the heating cooker according to the embodiment.
  • FIG. 12 is a flowchart of saving the selection history in the cooking control.
  • FIG. 13 is a block diagram illustrating a configuration of a heating cooker according to a first modification of the embodiment.
  • FIG. 14 is a block diagram illustrating a configuration of a heating cooker according to a second modification of the embodiment.
  • FIG. 15 is a block diagram illustrating a configuration of a heating cooker according to a third modification of the embodiment.
  • the heating cooker according to the first aspect of the present disclosure includes a heating cooking unit, an imaging unit, an image recognition unit, an adjustment unit, and a display unit.
  • the heating cooking unit heats the object to be heated.
  • the imaging unit captures an image of the object to be heated.
  • the image recognition unit performs image recognition on the image of the object to be heated, and extracts a plurality of candidates for the object to be heated based on the likelihood. Further, the image recognition unit determines that the object to be heated is not disposed in the heating cooking unit and that the object to be heated is a foreign substance.
  • the adjustment unit adjusts the display order of the plurality of candidates extracted by the image recognition unit.
  • the display unit displays a plurality of candidates in the display order adjusted by the adjustment unit. Further, the display unit, when the image recognition unit determines that the object to be heated is not disposed in the heating cooking unit, or when the image recognition unit determines that the object to be heated is a foreign substance, Don't show suggestions for
  • the image recognition unit may include, when a numerical value indicating the likelihood of the most probable candidate is lower than a predetermined threshold. It is determined that the object to be heated is a foreign substance.
  • the image recognition unit may determine that the object to be heated is a foreign substance when the most probable candidate among the plurality of candidates is a foreign substance. judge.
  • the heating cooker according to the fourth aspect of the present disclosure further includes a presentation unit in addition to the first aspect.
  • the presentation unit determines a candidate for the object to be heated. Is not extracted.
  • the presentation unit is the display unit.
  • the display unit displays a candidate for the object to be heated. A message is displayed indicating that is not extracted.
  • the presentation unit is a speaker.
  • the speaker When the image recognition unit determines that the object to be heated is not arranged in the heating cooking unit, or when the image recognition unit determines that the object to be heated is a foreign substance, the speaker outputs a candidate for the object to be heated. Outputs audio indicating that it does not exist.
  • the heating cooker in addition to the first aspect, includes an operation unit configured to allow a user to select one candidate from among a plurality of candidates, and as selection history information, And a history storage unit that stores the plurality of candidates in association with the one candidate.
  • the adjustment unit determines the display order of the plurality of candidates based on the selection history information.
  • the heating cooker according to the eighth aspect of the present disclosure further includes a clock unit that measures the current time, in addition to the seventh aspect.
  • the history storage unit stores, as selection history information, a selection time period in which the one candidate is selected and a selection frequency at which the one candidate is selected in the selection time period.
  • the history storage unit stores a display order of a plurality of candidates when the one candidate is selected.
  • the adjustment unit extracts the selection history information having the same selection time zone and the highest selection frequency from the selection history information, The display order of a plurality of candidates is determined according to the extracted selection history information.
  • the history storage unit is provided in an external server.
  • the heating cooking unit has a heating chamber configured to accommodate an object to be heated.
  • the heating cooking unit is disposed below the top plate and a top plate configured to place an object to be heated. And an induction heating coil.
  • FIG. 1 is a block diagram illustrating a configuration of the heating cooker 1.
  • the cooking device 1 includes a cooking unit 10, an imaging unit 20, a control unit 30, a storage unit 40, an operation unit 50, and a display unit 60.
  • the storage unit 40 includes a candidate storage unit 41 and a history storage unit 42.
  • FIG. 2 is a block diagram showing a configuration of a microwave oven with an oven function, which is the cooking device 1.
  • the cooking device 1 is a microwave oven having an oven function and having a heating chamber 11.
  • the heating chamber 11 has an inner box 12a that divides the heating chamber 11, and an outer box 12b that surrounds the inner box 12a.
  • a door 13 is provided on the front surface of the heating chamber 11 so as to cover the front opening of the heating chamber 11.
  • the heating cooking unit 10 has a magnetron (not shown) that oscillates microwaves, and has a microwave heating function of heating the object to be heated 2 accommodated in the heating chamber 11 by microwaves.
  • the cooking unit 10 has a radiation heating function using a radiation heater 14 in addition to the microwave heating function.
  • the image capturing unit 20 is a camera that captures an image of the object 2 placed in the heating chamber 11 as, for example, a color still image.
  • the photographing unit 20 includes an image sensor such as a CCD (Charge Coupled Device) image sensor and a CMOS (Complementary Metal-Oxide Semiconductor) image sensor.
  • the photographing unit 20 is provided above the side wall of the inner box 12a.
  • the control unit 30 is configured by a microcomputer, and includes an image recognition unit 31, an adjustment unit 32, and a clock unit 33.
  • the image recognizing unit 31 performs image recognition on the image captured by the capturing unit 20 to determine whether the heating target 2 is disposed in the heating cooking unit 10.
  • Image recognition in the image recognition unit 31 is performed using machine learning. Deep learning or artificial intelligence can be used as machine learning for image recognition.
  • the image recognition unit 31 compares the image inside the heating chamber 11 photographed by the photographing unit 20 with the image inside the heating chamber 11 when the object to be heated 2 does not exist in the heating chamber 11. By doing so, it is determined whether or not the article 2 to be heated is placed in the heating chamber 11.
  • the image recognizing unit 31 further performs image recognition on the image captured by the capturing unit 20 to extract a plurality of candidates for the object to be heated 2 in order of likelihood.
  • the image recognizing unit 31 recognizes a shape, a color tone, a color, and the like of the object to be heated 2 from an image inside the heating chamber 11 captured by the capturing unit 20.
  • the image recognition unit 31 compares this result with the candidate list stored in the candidate storage unit 41.
  • the image recognizing unit 31 extracts some candidates relating to the object to be heated 2 in descending order of certainty based on the correlation between the candidate images registered in the candidate list and the images photographed by the photographing unit 20. .
  • three candidates are extracted as an extraction candidate C1, an extraction candidate C2, and an extraction candidate C3.
  • Probability is represented by a numerical value from 0% to 100%. The higher the numerical value indicating the certainty, the higher the possibility that the candidate matches the object to be heated 2 arranged in the heating chamber 11.
  • the candidate list includes not only foods that can be candidates for the object to be heated 2 but also foreign substances that do not need to be heated, such as dishes and plastic containers. That is, in the candidate list, foreign matter is also included as a candidate for the object to be heated 2.
  • the candidate storage unit 41 stores the candidates in the candidate list as image data in advance by machine learning or the like.
  • data on candidates in the candidate list is information including, for example, shape and color.
  • the candidate storage unit 41 may store the information that has been subjected to the machine learning again, including the information added later, as a candidate in the candidate list.
  • the image recognizing unit 31 determines that the object to be heated 2 is a foreign substance when the most probable candidate is a foreign substance among the plurality of candidates extracted by comparing the image recognition result with the candidate list.
  • the image recognizing unit 31 determines that the object to be heated 2 is a foreign object when the numerical value indicating the probability of the most probable candidate among the plurality of candidates extracted by the image recognition is lower than a predetermined threshold. Good.
  • the image recognition unit 31 compares the result of the image recognition with the candidate list, and determines that there is no candidate for the object to be heated 2 in the candidate list, it determines that the object to be heated 2 is a foreign substance. Is also good.
  • the adjustment unit 32 adjusts the display order of the plurality of candidates extracted by the image recognition unit 31. Specifically, the adjustment unit 32 determines the display order of the plurality of candidates based on the selection history information stored in the history storage unit 42.
  • the user selects one candidate from the plurality of candidates adjusted by the adjustment unit 32 and displayed on the display unit 60 using the operation unit 50.
  • the history storage unit 42 stores a plurality of past candidates extracted by the image recognition unit 31 and one candidate selected by the operation unit 50 in association with each other as selection history information.
  • the operation unit 50 may be constituted by mechanical buttons or a touch panel.
  • the touch panel may constitute the display unit 60.
  • the touch panel forms an operation display unit.
  • the history storage unit 42 stores the selection history information described in the selection history table. Specifically, the history storage unit 42 stores the display order of a plurality of candidates when one candidate (“selected heating target” illustrated in FIG. 4) is selected by the operation unit 50.
  • the history storage unit 42 stores the three candidates extracted by the image recognition unit 31 as history candidates M1, M2, and M3.
  • the history storage unit 42 stores, in addition to the history candidates M1, M2, and M3, one candidate selected by the operation unit 50, a selected time zone in which the selection was performed, and the one candidate in the selected time zone.
  • the selection frequency to be selected is stored as selection history information.
  • the adjustment unit 32 extracts the selection history information having the same selection time zone and the highest selection frequency from the selection history information, and determines the display order of a plurality of candidates according to the extracted selection history information.
  • the clock unit 33 measures the current time, and specifies the selected time zone in which one of the candidates has been selected by the operation unit 50 based on the current time.
  • the history storage unit 42 stores the selected time period.
  • the display unit 60 displays a plurality of candidates in the display order adjusted by the adjustment unit 32.
  • the display unit 60 includes a liquid crystal panel or the like.
  • the display unit 60 displays the items selected by the operation of the cooking menu button and the like, the determined heating conditions (output, temperature, time, etc.), the cooking menu, the start button, and the cancel button.
  • the driving state may be displayed.
  • the display unit 60 functions as a presentation unit. In this case, the display unit 60 does not display the candidate for the object to be heated 2, but instead displays a message indicating that no candidate for the object to be heated 2 is extracted.
  • FIG. 5 is a flowchart of the cooking control in the heating cooker 1.
  • the photographing unit 20 photographs the inside of the heating chamber 11, and the image recognition unit 31 performs image recognition on this image. Then, it is determined whether the article to be heated 2 is placed in the heating chamber 11 or not.
  • the storage unit 40 previously stores, as a reference image, an image inside the heating chamber 11 when the object 2 to be heated does not exist in the heating chamber 11.
  • the image recognition unit 31 compares the reference image with the image inside the heating chamber 11 by image recognition to determine whether or not the article 2 to be heated is placed in the heating chamber 11.
  • the display unit 60 displays a candidate for the object to be heated 2. Without this, the cooking control ends. That is, cooking is not performed. At this time, the display unit 60 displays a message indicating that the article 2 to be heated does not exist in the heating chamber 11. The display unit 60 may display a message indicating that no candidate relating to the object to be heated 2 is extracted.
  • step S10 the image recognition unit 31 extracts a candidate.
  • FIG. 6 is a flowchart for extracting candidates in cooking control.
  • the image recognition unit 31 performs image recognition on an image captured by the imaging unit 20, and identifies a plurality of candidates for the object 2 to be heated. Extract based on
  • the image recognition unit 31 includes an image of the inside of the heating chamber 11 captured by the capturing unit 20 and an image of a candidate registered in a candidate list (see FIG. 3) stored in the candidate storage unit 41. Compare with As a result of comparing the two images, the image recognition unit 31 recognizes a candidate having a higher correlation as a more likely candidate. The image recognition unit 31 extracts a plurality of candidates for the object to be heated 2 based on the likelihood.
  • step S22 the image recognizing unit 31 sets the three candidates with the highest likelihood as the extraction candidates C1, C2, and C3 in order of likelihood.
  • FIG. 7 shows an example of the extraction result. In the example shown in FIG. 7, asparagus, spinach, and broccoli are extracted as extraction candidates C1, C2, and C3, respectively.
  • step S30 the image recognizing unit 31 determines whether the object to be heated 2 is a foreign substance.
  • the image recognition unit 31 determines that the object to be heated 2 is not a foreign substance.
  • This threshold is, for example, 40%.
  • the extraction candidate C1 is asparagus, not a foreign substance, and the numerical value (99.8%) indicating the certainty of the extraction candidate C1 exceeds a predetermined threshold (40%). If there is, the image recognition unit 31 determines that the extraction candidate C1 is not a foreign substance.
  • the image recognition unit 31 determines that the object to be heated 2 is a foreign substance.
  • the image recognition unit 31 determines that the heating target 2 is a foreign substance. As shown in FIG. 9, for example, even if the extraction candidate C1 is an eggplant, if the numerical value (30.5%) indicating the certainty of the extraction candidate C1 is lower than a predetermined threshold (40%), image recognition is performed. The unit 31 determines that the extraction candidate C1 is a foreign substance.
  • the cooking control ends without displaying any candidate for the object to be heated 2 on the display unit 60. That is, cooking is not performed.
  • the display unit 60 displays a message indicating that the object to be heated 2 is not a food material but a foreign substance.
  • the display unit 60 may display a message indicating that no candidate relating to the object to be heated 2 is extracted.
  • step S40 the adjusting unit 32 causes the display order of the plurality of candidates for the object to be heated 2 extracted by the image recognition unit 31 to be displayed. To adjust.
  • FIG. 10 is a flowchart of adjusting the display order in the cooking control.
  • the adjustment unit 32 reads the selection history table (see FIG. 4) from the history storage unit 42.
  • step S42 the adjustment unit 32 includes a row in the selection history table in which the history candidates M1, M2, and M3 are the same as the extraction candidates C1, C2, and C3, respectively, and the current time is included in the selected time zone. It is determined whether or not.
  • step S43 adjustment unit 32 extracts “selected heating target” in the row with the highest selection frequency in the selection history table.
  • the adjusting unit 32 sets the “selected object to be heated” as the display candidate D1, and sets the other two candidates in the row as display candidates D2 and D3 in order of likelihood. This completes the adjustment of the display order.
  • step S45 the adjustment unit 32 sets the extraction candidates C1, C2, and C3 as the display candidates D1, D2, and D3. This completes the adjustment of the display order.
  • step S50 the display unit 60 displays a plurality of candidates for the object to be heated 2 in the display order adjusted by the adjustment unit 32. Specifically, display candidates D1, D2, and D3 are displayed on display unit 60.
  • the display unit 60 when asparagus, spinach, and broccoli are extracted as extraction candidates C1, C2, and C3, respectively, and set as display candidates D1, D2, and D3, respectively, the display unit 60 becomes as shown in FIG. To be displayed. As shown in FIG. 11, the display unit 60 displays the photos and names of asparagus, spinach, and broccoli in order of numerical values indicating certainty.
  • control unit 30 determines whether or not the type of object to be heated 2 has been determined. Specifically, the user operates the operation unit 50 to select one candidate from the plurality of candidates for the object to be heated 2 displayed on the display unit 60. In response to this selection, control unit 30 determines that the type of object to be heated 2 has been determined.
  • step S70 the control unit 30 stores the selection history. While the type of the object to be heated 2 is not determined (NO in step S60), the processing in step S60 is repeated.
  • FIG. 12 is a flowchart of saving the selection history in the cooking control.
  • the control unit 30 reads a selection history table (see FIG. 4) from the history storage unit 42 in order to save the selection history.
  • step S72 the control unit 30 includes a row in the selection history table in which the history candidates M1, M2, and M3 are the same as the extraction candidates C1, C2, and C3, respectively, and the current time is included in the selected time zone. It is determined whether or not.
  • control unit 30 increases a numerical value indicating the frequency of selection of the row by one.
  • control unit 30 adds a new row to the selection history table and sets an initial value in that row. Specifically, history candidates M1, M2, and M3 are set as extraction candidates C1, C2, and C3, respectively. “Selected heating target” is set to the type of the heating target selected by the user. The selected time zone is set based on the current time. The selection frequency is set to 1. This completes the cooking control in the heating cooker 1.
  • image recognition unit 31 determines that heated object 2 is not arranged in heating cooking unit 10, or image recognition unit 31 determines that heated object 2 is a foreign substance.
  • the display unit 60 does not display a candidate for the object to be heated 2.
  • image recognition unit 31 determines that heated object 2 is not arranged in heating cooking unit 10, or image recognition unit 31 determines that heated object 2 is a foreign substance.
  • the display unit 60 displays a message indicating that no candidate relating to the object to be heated 2 is extracted. Thereby, the user can easily recognize the situation at that time.
  • FIG. 13 is a block diagram showing a configuration of a heating cooker 1A according to a first modification of the present embodiment.
  • the storage unit 40 is provided in the external server 100.
  • the heating cooker 1A communicates with the server 100 via a communication line such as the Internet, and reads and writes information stored in the storage unit 40.
  • This modification has the same configuration as that of the above-described embodiment except for the storage unit 40, and achieves the same effects as the above-described embodiment.
  • FIG. 14 is a block diagram showing a configuration of a heating cooker 1B according to a second modification of the present embodiment.
  • the cooking device 1B further includes a speaker 70 in addition to the configuration of the above embodiment.
  • the speaker 70 constitutes a presentation unit together with the display unit 60.
  • the heating cooker 1B notifies the user by voice using the speaker 70 that no candidate relating to the object to be heated 2 is extracted.
  • the speaker 70 outputs a sound indicating that the object to be heated does not exist in the heating chamber 11 or a sound indicating that the object to be heated 2 is not a food material but a foreign substance.
  • This modification has the same configuration as that of the above-described embodiment except for the speaker 70, and has the same effect as that of the above-described embodiment.
  • FIG. 15 is a block diagram showing a configuration of a heating cooker 1C according to a third modification of the present embodiment.
  • the heating cooker 1C of this modification is a kitchen provided with an IH (Induction Heating) cooking heater.
  • IH Induction Heating
  • the cooking device 1 ⁇ / b> C includes a cooking unit 10 ⁇ / b> C, an imaging unit 20, a control unit 30, a storage unit 40, an operation unit 50, a display unit 60, and a range hood 80.
  • the heating cooking unit 10 ⁇ / b> C includes a top plate 15 on which the object to be heated 2 is placed, and an induction heating coil 16 disposed below the top plate 15.
  • a kettle and a frying pan as the object to be heated 2 are placed on the top plate 15.
  • the photographing unit 20 is arranged on the range hood 80 and photographs the object to be heated 2 placed on the top plate 15.
  • the display unit 60 is arranged on the near side on the top plate 15.
  • This modification has the same configuration as that of the above-described embodiment except for the heating and cooking unit 10C, and achieves the same effects as the above-described embodiment.
  • the display unit 60 displays three candidates for the object to be heated 2.
  • the display unit 60 may display one, two, or four or more candidates for the object to be heated 2.
  • control unit 30 is configured by a microcomputer.
  • the control unit 30 is not limited to a microcomputer. However, if a programmable microcomputer is used, the processing content can be easily changed, and the degree of freedom in design can be increased.
  • control unit 30 may be configured by a logic circuit.
  • the control unit 30 may be composed of one or more elements.
  • each control item may be implemented by the plurality of elements. In this case, it can be considered that these plural elements correspond to one control unit.
  • the present disclosure is applicable to heating cookers such as microwave ovens, IH cooking heaters, and rice cookers.

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  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
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  • Electric Stoves And Ranges (AREA)

Abstract

La présente invention concerne un dispositif de cuisson comprenant une unité de cuisson, une unité d'imagerie, une unité de reconnaissance d'image, une unité de réglage et une unité d'affichage. L'unité de cuisson chauffe un objet chauffant. L'unité d'imagerie capture une image de l'objet chauffant. L'unité de reconnaissance d'image extrait une pluralité de candidats se rapportant à l'objet chauffant sur la base du degré de certitude par réalisation d'une reconnaissance d'image sur l'image de l'objet chauffant. L'unité de réglage règle l'ordre d'affichage pour la pluralité de candidats extraits par l'unité de reconnaissance d'image. L'unité d'affichage affiche la pluralité de candidats dans l'ordre d'affichage réglé par l'unité de réglage. Si l'unité de reconnaissance d'image détermine qu'aucun objet chauffant n'est placé dans l'unité de cuisson, ou si l'unité de reconnaissance d'image détermine que l'objet chauffant est un objet étranger, alors l'unité d'affichage n'affiche pas un candidat concernant l'objet chauffant. Selon ce mode de réalisation, il est possible d'empêcher un chauffage indésirable et l'affichage d'un candidat indésirable.
PCT/JP2019/035169 2018-09-10 2019-09-06 Dispositif de cuisson WO2020054609A1 (fr)

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Application Number Priority Date Filing Date Title
CN201980003781.0A CN111183317A (zh) 2018-09-10 2019-09-06 加热烹调器
JP2019569854A JP7403044B2 (ja) 2018-09-10 2019-09-06 加熱調理器

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JP2018-168904 2018-09-10
JP2018168904 2018-09-10

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WO2020054609A1 true WO2020054609A1 (fr) 2020-03-19

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11949535B2 (en) 2022-03-24 2024-04-02 Haier Us Appliance Solutions, Inc. Item management system for connected appliances

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