CN115153312A - Cooking appliance and control method thereof - Google Patents

Abstract

A cooking appliance and a control method thereof, the control method comprising: presetting a maturity judging model for judging whether food is mature or not, wherein the maturity judging model at least comprises standard images representing different maturity states of the food; when the triggering condition is met, acquiring a real-time image of food in the cooking appliance; and identifying the real-time image according to the standard image of the mature state to determine whether the food is mature or not, and acquiring cooking control parameters according to the identification results of the real-time image and the corresponding standard image to control a cooking appliance. Adopt this embodiment can discern the maturity state of food before the culinary art is finished or when the culinary art is finished to according to maturity state control cooking utensil, realize cooking utensil's intelligent control, thereby optimize the culinary art result, improve user and use experience.

Description

Cooking appliance and control method thereof

Technical Field

The embodiment of the invention relates to the technical field of household appliances, in particular to a cooking appliance and a control method thereof.

Background

In recent years, cooking apparatuses including microwave ovens, and the like have been increasingly widely used, becoming one of the indispensable home appliances for each household. Generally, the existing cooking apparatus can only heat food mechanically according to parameters such as time and temperature set by a user. In such a situation, it is easy to cause the food to be overcooked or even scorched, or to be undercooked, so that the food cannot reach maturity under the set parameters, and the user is still required to cook the food again. Moreover, these situations are only detected when the user turns on the cooking device, and there is no way to remedy if the overcooking has occurred; if the cooking is insufficient, the food needs to be reheated, the heating time and temperature need to be reset, and the taste of the food after being reheated cannot be ensured. Therefore, the cooking equipment is not intelligent enough, and the user experience is not good.

In view of the above situation, a cooking apparatus in the prior art may acquire an image of the inside of the apparatus through a camera and present the image to a user, so that the user can know the cooking state of food. But this solution requires the user to frequently monitor the images to intervene before overcooking; the scheme also requires that the user resets cooking parameters when the user finds that the cooking is insufficient, has higher requirements on the cooking experience of the user, and cannot realize intellectualization.

Disclosure of Invention

It is an object of embodiments of the present invention to provide an improved cooking appliance and a control method thereof.

Therefore, an embodiment of the present invention provides a method for controlling a cooking appliance, including: presetting a maturity judging model for judging whether food is mature or not, wherein the maturity judging model at least comprises standard images representing that the food is in different maturity states; when the triggering condition is met, acquiring a real-time image of food in the cooking appliance; and identifying the real-time image according to the standard image of the mature state to determine whether the food is mature or not, and acquiring cooking control parameters according to the identification results of the real-time image and the corresponding standard image to control a cooking appliance.

Adopt this embodiment can discern the maturity state of food when the culinary art is finished to according to maturity state control cooking utensil, realize cooking utensil's intelligent control, thereby optimize the culinary art result, improve user and use experience. Specifically, a maturity judging model of at least one food is preset, for example, standard images representing the maturity states of the steak under different tastes, including medium-class, medium-class and medium-class ripeness states, wherein the different maturity states respectively include corresponding maturity state standard maps, and each type of map may include a plurality of images. Whether the food is mature or not is identified based on the model, and the working parameters of the cooking appliance are automatically controlled according to the identification result, so that the mature state of the food is identified in advance at the end of cooking, and cooking intervention measures are automatically taken when necessary to obtain the expected cooking effect, and particularly, the condition of insufficient cooking can be avoided.

Optionally, the trigger condition includes that the temperature of the food reaches a set temperature or the cooking time reaches a preset time. A reasonable and appropriate cooking node of food can be obtained by detecting the current food temperature or the elapsed cooking time, and timely intervention is carried out on the cooking node, namely, the maturity state of the food is identified, and a cooking appliance is controlled based on the maturity state, so that the expected cooking effect is obtained. The set temperature and the preset time are obtained through a large amount of experimental data, and each type of food can correspond to the respective set temperature and the preset time so as to better control the work of the cooking appliance.

Optionally, the method includes: acquiring a cooking maturity parameter selected by a user; acquiring a corresponding standard image in a maturity judging model according to the maturity parameter; and comparing the real-time image with the standard image, and controlling the cooking appliance according to the comparison result. Different users may have different requirements or preferences for the maturity of cooking of food. Through according to the maturity parameters selected by the user, the corresponding maturity judging model is obtained to further perform image recognition, diversified cooking control can be performed according to different user selections, so that intelligent cooking is realized, and the user experience is better.

Optionally, when it is determined that the food is not ripe according to the comparison of the real-time image and the standard image, increasing the cooking time or the cooking temperature to control the cooking appliance; otherwise, controlling the cooking appliance to stop working. Thus, before the input cooking time is finished, whether the food has reached a desired ripeness state is identified based on the acquired real-time image and the standard image, and when the food has not ripened, the cooking time period or the cooking temperature is automatically controlled to be increased, so that a desired ripeness result, such as a steak september, has been obtained; otherwise, the cooking is stopped even if the originally set cooking time period is not reached, so that the overcooking, such as scorching and burning, or overcooking and the like, is avoided.

Optionally, the method further includes: acquiring the internal temperature of the food; when the internal temperature is lower than the standard temperature, increasing the cooking time or the cooking temperature according to the internal temperature to control the cooking appliance; otherwise, controlling the cooking appliance to stop working.

On the basis of recognizing the food maturity state by the image, the cooking appliance is controlled by combining the internal temperature of the food, so that the food maturity state can be judged better, the cooking appliance can be intelligently controlled, and the expected food cooking effect can be obtained. For example, when cooking food, the internal temperature of the food changes over a certain cooking time. By detecting and acquiring the internal temperature of the food, when the temperature does not reach the standard temperature, which may mean that the food is not cooked well, the cooking time and the cooking temperature are adjusted by more accurately judging the state of the food well in combination with the internal temperature of the food. Conversely, when it is detected that the temperature inside the food is too high, possibly the food is already overcooked, it is possible to intervene in advance in combination with the temperature inside the food to avoid overcooking.

Furthermore, in the process of cooking some foods, the appearance, color and the like of the foods in a certain cooking process are not changed greatly and cannot be effectively and accurately identified through images, and the cooking effect can be better controlled by combining the internal temperature. Particularly for food with tiny change state of food appearance in the later cooking stage, the ripeness state of the food can be better obtained through image recognition and internal temperature detection, so that the cooking appliance can be accurately controlled, and the expected cooking effect can be obtained.

Optionally, the real-time images of two frames at the same acquisition time are acquired at least in different directions; respectively identifying the real-time images according to the maturity judging models to obtain corresponding identification results; and determining an identification result according to a preset priority standard so as to control the cooking appliance according to the identification result. Here, it should be noted that two frames of real-time images at the same capturing time are obtained by at least two cameras, and the capturing angles or directions of the two cameras are different. The acquisition angle and direction of the camera device can be changed by installing the camera device at different positions.

Optionally, the priority criterion is determined according to the recognition result; wherein the identification result at least comprises one of the following: food maturity, food immature, food overcooked; and the recognition result corresponding to the food maturity is higher in priority.

The ripeness states of the food can be identified from different angles through the plurality of camera devices, the ripeness states of the food can be monitored better and more timely, and therefore the cooking appliance is intelligently controlled, and the cooking result can achieve the expected effect.

Further, when a plurality of recognition results are obtained, the recognition results are output according to a preset priority, and the cooking appliance is controlled based on the results, so that food cooking deficiency can be avoided, and food cooking results can be better controlled to meet expectations. For example, when the recognition result corresponding to the camera a is that the food is not cooked well and the recognition result corresponding to the camera B is that the food is cooked well, the cooking time or the cooking temperature can be increased based on the recognition result, so as to avoid that the food is not cooked well locally.

Further, if the cooking appliance comprises two camera devices, two images at the same acquisition time are correspondingly acquired, two recognition results are correspondingly acquired, and if the results are the same, the recognition results are output.

Optionally, before the method, the method further comprises: presetting a food identification model for food identification; acquiring a first image of the food; identifying the first image by a food identification model; and determining a maturity judgment model corresponding to the food according to the recognition result. Food types are identified through image identification, and a maturity judging model corresponding to the food types is obtained, so that the food is automatically identified and the maturity state of the food is judged, and the cooking appliance works intelligently.

Optionally, the cooking appliance comprises an oven. Therefore, the intelligent degree of the oven can be improved, the food maturity state is judged through image recognition before cooking is finished, the automatic control cooking process is realized, and the expected cooking state of the food is intelligently obtained.

Therefore, the embodiment of the present invention further provides a cooking appliance, which includes a body and a control module disposed on the body, wherein the control module is configured to execute the method described above.

Therefore, the embodiment of the present invention further provides a control system of a cooking appliance, including a control module configured to execute the method described above.

Optionally, the control system further includes a cooking appliance, the control module is in communication connection with the cooking appliance, and the cooking appliance operates according to the cooking control parameters sent by the control module.

The control module can be arranged on the cooking appliance and can also be arranged on other servers except the cooking appliance. If the latter, the cooking appliance and other servers may be connected in telecommunication, the control module executing the aforementioned method and sending control parameters to the cooking appliance to control its operation. Furthermore, the control module is arranged on a remote server and performs data processing such as identification and the like on the remote server, so that training, learning and updating of data such as models and the like are facilitated, and complexity of the cooking appliance is reduced.

Accordingly, embodiments of the present invention also provide a computer-readable storage medium, which is a non-volatile storage medium or a non-transitory storage medium, and has a computer program stored thereon, where the computer program is executed by a processor to perform the steps of the above method.

Drawings

Fig. 1 is a schematic view of a cooking appliance according to an embodiment of the present invention;

FIG. 2 is a side schematic view of a cooking appliance according to an embodiment of the invention;

fig. 3 is a flowchart of a control method of a cooking appliance according to an embodiment of the present invention;

in the drawings:

1-a cooking appliance; 10-a body; 101-an input-output module; 20-a cavity; 30-a door; 11-a control module; 12-a heating module; 13-an image acquisition device; 14-a tray; 2-the object to be cooked.

Detailed Description

The embodiment of the invention provides a control method of a cooking appliance, which comprises the steps of presetting a maturity judging model for judging whether food is mature or not, wherein the maturity judging model at least comprises standard images representing different maturity states of the food; when the triggering condition is met, acquiring a real-time image of food in the cooking appliance; and identifying the real-time image according to the standard image of the maturity state to determine whether the food is mature, and acquiring cooking control parameters according to the identification result of the real-time image and the corresponding standard image to control the cooking utensil.

Adopt this embodiment can discern the maturity state of food when the culinary art is finished to according to maturity state control cooking utensil, realize cooking utensil's intelligent control, thereby optimize the culinary art result, improve user and use experience.

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.

Fig. 1 and 2 are schematic views of a cooking appliance according to an embodiment of the present invention; fig. 3 is a flowchart of a control method of a cooking appliance according to an embodiment of the present invention. Among them, the cooking appliance 1 shown in fig. 1 and 2 may perform the control method shown in fig. 3 to recognize the ripeness state of food at the end of cooking and intelligently control the cooking appliance according to the recognition result.

Specifically, referring to fig. 1 and 2, the cooking appliance 1 of the present embodiment may be an oven, and may include: the cooking device comprises a body 10 and a cavity 20 arranged in the body 10, wherein the cavity 20 is used for placing the cooked object 2. For example, the cooking appliance 1 may have a door 30 capable of opening or closing the cavity 20, the door 30 exposing the cavity 20 when opened for a user to take or place the cooked object 2 (i.e., food); the door 30 closes the cavity 20 when closed, and the cooking operation such as heating and baking can be performed on the object 2 to be cooked placed therein.

The cooking appliance 1 may further include an input-output module 101, and the operation state of the cooking appliance 1 may be adjusted by operating the input-output module 101. The operation state of the cooking appliance 1 may include heating power, heating direction, heating time, steam delivery amount, steam delivery direction, and the like. The adjustment of these operating states may be achieved by adjusting the operating states of specific functional modules in the cooking appliance 1.

Further, the cooking appliance 1 may further include a control module 11, configured to adjust the operation status of the corresponding functional module according to the instruction fed back by the input/output module 101, so that the operation status of the cooking appliance 1 conforms to the user instruction.

For example, the cooking appliance 1 may comprise a heating module 12 for heating the object 2 to be cooked. The cooking appliance 1 may comprise a plurality of heating modules 12, and the plurality of heating modules 12 are dispersedly disposed in different areas of the cooking appliance 1 to heat the cavity 20 from different angles so that the cooked object 2 is heated as uniformly as possible. The control module 11 can independently adjust the heating power of each heating module 12 to adjust the amount of heat radiated into the cavity 20 by each heating module 12. The control module 11 may also independently adjust the heating direction of each heating module 12 to adjust the radiation angle of the heat radiated into the cavity 20 by each heating module 12. The control module 11 may also adjust the heating duration for which a particular heating module 12 operates at a particular heating power to heat the food to a desired effect.

For another example, the cooking appliance 1 may comprise a spray module (not shown) for delivering water vapor into the cavity 20 to adjust the humidity within the cavity 20. By adjusting the humidity in the cavity 20, the surface humidity of the cooked object 2 can be adjusted, so that the water content of the cooked object 2 is moderate, and the surface of the cooked object 2 is prevented from being heated too dry or too wet. The cooking appliance 1 may include a plurality of spraying modules, and the plurality of spraying modules are dispersedly disposed in different areas of the cooking appliance 1 to deliver water vapor into the cavity 20 from different angles, so that the humidity distribution on the surface of the cooked object 2 is equalized. The control module 11 can independently adjust the vapor delivery of each spray module. The control module 11 can also adjust the steam delivery direction of each spray module independently. The control module 11 may also adjust the spray duration for a particular spray module to operate at a particular delivery rate of steam.

It should be noted that the input/output device 101 in fig. 1 may be similar to a knob adjusting key, and in practical applications, the input/output device 101 may also be configured in other forms, such as a touch screen, a voice control module, and the like. The input/output device 101 may also be a touch display panel with a touch function, which implements data input and image information display.

Further, the control module 11 may execute the control method shown in fig. 3 to identify the ripeness state of the cooked object 2 immediately before the end of cooking, and automatically control the cooking appliance 1 according to the ripeness state. For example, the control module 11 may comprise or be externally connected to a memory (not shown) storing a computer program which, when executed by the processor, performs the steps of the control method shown in fig. 3.

The memory can also store data for cooking food, including cooking time, cooking temperature, cooking mode and the like corresponding to different foods. Through the food cooking data, the user can control the cooking appliance to work according to the cooking data based on the selected menu or the taste of the food.

It should be noted that fig. 1 only shows an exemplary possible setting position of the control module 11 in the cooking appliance 1, and in practical applications, the specific setting position of the control module 11 may be adjusted as needed. In a variation, the control module 11 may be externally installed on the cooking appliance 1 (e.g., a remote server, etc.), the cooking appliance 1 has a communication module (not shown), and the control module 11 communicates with the communication module to send a control command to the cooking appliance 1, where the control command is used to control the operating state of the cooking appliance 1.

Further, the cooking utensil 1 may include an image capturing device 13 disposed in the cavity 20 or the door 30 to capture the real-time image of at least one angle, and the control module 11 is in communication with the image capturing device 13 to obtain the real-time image captured by the image capturing device 13.

For example, the image capturing device 13 may be a camera, which is disposed on the top of the cavity 20 and covers at least the tray 14 in an overhead range, and the camera may be disposed in a plurality of positions to photograph the cooked object 2 from different angles.

For example, the camera may be disposed inside the door 30 and the shooting range includes at least the area where the cooked object 2 is located.

Further, the cooking appliance 1 may include a temperature detecting device (not shown) for detecting the temperature of the surface of the food, the inside of the body, and the like.

For example, a temperature sensor (not shown) may be disposed within the chamber 20 to collect (not shown) the temperature within the chamber 20. For another example, the tray 14 may be provided with a temperature sensor or probe (not shown) to collect the surface temperature or the internal temperature of the cooked object 2.

In one specific implementation, referring to fig. 3, the method for controlling the cooking appliance 1 according to the embodiment may include the following steps:

step S101, presetting a maturity judging model for judging whether food is mature, wherein the maturity judging model at least comprises standard images representing different maturity states of the food;

step S102, acquiring a real-time image of food in the cooking appliance when a trigger condition is met;

step S103, identifying the real-time image according to the standard image of the mature state to determine whether the food is mature, and acquiring cooking control parameters according to the identification result of the real-time image and the corresponding standard image to control a cooking appliance.

Specifically, a maturity judging model of at least one food is preset, for example, standard images representing the maturity states of the steak under different tastes, including medium-class, medium-class and medium-class ripeness states, wherein the different maturity states respectively include corresponding maturity state standard maps, and each type of map may include a plurality of images. Whether the food is mature or not is identified based on the model, and the working parameters of the cooking appliance are automatically controlled according to the identification result, so that the mature state of the food is identified at the end of cooking, and cooking intervention measures are automatically taken when necessary to obtain the expected cooking effect, and particularly under-cooking conditions can be avoided.

Specifically, when the cooking is ready to start, the ready food is put into the cooking appliance 1. For example, the user may put the steak into the cooking device 1 and select the corresponding cooking data such as the heating time, the heating temperature, etc. through the input/output device 101, or may directly select the built-in recipe such as the steak with the corresponding time of 8 minutes.

After the user sets the cooking parameters and starts cooking, the cooking appliance 1 starts to work.

When the cooking appliance 1 finishes cooking or is about to finish cooking, the image capturing device 13 may start to operate. The image capturing device 13 may store the captured image in a local memory or transmit to a memory of a remote server. The control module 11 judges and identifies the food ripening result according to the acquired image, and acquires the corresponding cooking parameters and controls the cooking appliance based on the identification result. Thereby intelligently identifying the state of maturity of the food when the previously set cooking process is about to end or ends and adjusting cooking control parameters when maturity or immaturity is found to bring the cooking result into expectation.

The maturity judging model can be stored in the memory in advance, and comprises a plurality of standard images of the maturity state of food, and can also comprise a plurality of standard images of the maturity state of food under different tastes. The standard image can be understood as the state that the food should reach when the food is ripe, and can comprise color parameters, shape parameters and the like for characterizing the ripe state of the food. The standard image is obtained through a large amount of cooking experimental data training. As used herein, the term "ripeness" includes the state of ripeness of food in the conventional sense, and also includes the different stages of ripeness of food required due to differences in taste among people, such as the state of ripeness of five-part cooked beefsteak, the state of ripeness of seven-part cooked beefsteak, and the like.

In particular implementations, different maturity levels may correspond to different standard images.

In a specific implementation, the maturity judgment models may correspond one-to-one to the types of food.

For example, two maturity judgment models, namely an a model corresponding to steak and a B model corresponding to sweet potato, can be stored in the memory; wherein the A model may include standard images of various maturity states of the steak; the B model comprises standard images of the mature states of various sweet potatoes. The memory can also store a plurality of A models, including A1, A2 and A3, which are respectively the standard images of the mature state of the beefsteak corresponding to different tastes, for example, A1 corresponds to the standard image of a fifth-degree cooked beefsteak, A2 corresponds to the standard image of a seventh-degree cooked beefsteak, and A3 corresponds to the standard image of an eighth-degree cooked beefsteak. When cooking beefsteak, firstly setting required taste or maturity through a control panel or a knob, then cooking for a period of time, acquiring a current food real-time image when cooking is finished, identifying whether the maturity of the beefsteak reaches an expectation through a corresponding maturity judging model, and controlling a cooking appliance based on the result.

It should be noted that the above is only an example. In practical applications, the memory may be provided with a maturity judging model corresponding to a plurality of food types to expand the menu range in which the cooking appliance 1 can intelligently cook. The maturity judging model is modeled by carrying out image recognition training on massive pictures of different food materials in different cooking stages, and specific training algorithms are all based on the conventional image recognition common algorithm and are not further elaborated here.

In one implementation, the image capturing device 13 may be triggered to start a real-time image of the food by a preset condition. The trigger condition may be that the temperature of the food reaches a set temperature or the cooking time reaches a preset time. After a period of cooking, the temperature for heating the food reaches a certain value, a camera can be triggered to acquire a food image at the moment by detecting the surface temperature of the food or the internal temperature of the food, and whether the food is mature or reaches an expected cooking state is identified through a maturation judgment model so as to control a cooking appliance. Similarly, the cooking time may be used as a trigger, for example, the heating time of 7 minutes cooked beef steak is 8 minutes, when the heating time reaches 8 minutes, the camera is triggered to start collecting, and the cooking appliance is controlled based on the recognition result, so that the time can be increased and the heating temperature can be increased.

For example, a trigger condition for capturing an image may be set in the memory, and the control module 11 may control the image capturing device 13 to capture an image when the departure condition is satisfied. Each food type may be provided with different trigger conditions, taking into account the different cooking conditions or parameters required for the different foods.

In one implementation, the cooking conditions or parameters may be determined at the user's option and identified and controlled at the option of a different user. Specifically, firstly, a cooking maturity parameter selected by a user is acquired through the input/output device 101, then when a trigger condition is met, the control module 11 controls the image acquisition device 13 to acquire a real-time image of food, and the control module 11 acquires a maturity judgment model and a corresponding standard image in the memory according to the maturity parameter; the control module 11 then compares the real-time image with the standard image and controls the cooking appliance according to the comparison result. Different users may have different requirements or preferences for the maturity of cooking of food. Through according to the maturity parameter selected by the user, the corresponding maturity judging model is obtained to further perform image recognition, diversified cooking control can be performed according to different user selections, so that intelligent cooking is realized, and user experience is better.

Further, the cooking appliance may be controlled according to the recognition result. Specifically, when the food is determined not to be ripe according to the comparison of the real-time image and the standard image, the cooking time or the cooking temperature is increased to control the cooking appliance; otherwise, controlling the cooking appliance to stop working. Thus, before the inputted cooking time is over, it is recognized whether the food has reached a desired ripeness state based on the acquired real-time image and the standard image, and when it has not ripened, the cooking time period or the cooking temperature is automatically controlled to be increased, to obtain a desired ripeness result, such as a seventh-half of steak; otherwise, the cooking is stopped, even if the set cooking time is not reached, to avoid overcooking, such as scorching or overcooking.

For example, when cooking beefsteak using the cooking appliance 1, the cooking taste selected by the user is 7 cents, and the expected cooking time is 8 minutes. At the end of cooking, the control module 11 recognizes that the steak has not reached the expected state of ripeness, and the control module 11 controls to increase the total heating time, for example, by 20 seconds, i.e., to adjust the originally planned heating time for 8 minutes to 8 minutes for 20 seconds. Such fine tuning may provide good protection against under-cooking, thereby allowing the desired cooking results.

In a variation, the real-time image of the food at the current cooking node and the corresponding standard image thereof may be displayed through the display device to present the cooking state of the food at the current cooking node. The display device may be the input/output device 101, or may be a remote mobile device such as a mobile phone, a tablet, a computer, etc.

For example, at the end of cooking, the control module 11 may recall the real-time image and the corresponding standard image in the memory and present them to the user through the display means. So, not only cooking equipment can intelligent adjustment culinary art process, and the user also can see the culinary art state of food directly perceivedly, and user experience is better.

In one variation, the method may also adjust cooking parameters in conjunction with the real-time internal temperature of the food. The real-time internal temperature of the food may be acquired by a probe or other sensor, and the cooking appliance 1 is controlled according to the real-time internal temperature and the current cooking state of the food.

Specifically, when the internal temperature is lower than the standard temperature, the cooking time or the cooking temperature is increased according to the internal temperature to control the cooking appliance; otherwise, controlling the cooking appliance to stop working. On the basis of identifying whether the food is mature or not by image identification, the mature state of the food is further confirmed by combining the internal temperature of the food so as to control the cooking appliance 1, so that the mature state of the food can be better identified to obtain the expected food cooking effect.

For example, before the cooking is finished, the internal temperature of the food is detected and acquired, and when the temperature does not reach the standard temperature, which may mean that the food is not cooked well, the well done state of the food is judged more accurately by combining the internal temperature of the food to adjust the cooking time and the cooking temperature. Conversely, when the internal temperature of the food is too high at the cooking node, and the food may be overcooked, it may be possible to intervene in advance in conjunction with the internal temperature of the food to avoid overcooking.

For another example, when cooking certain foods (e.g., steak), the difference in images between 7 and 9 cents in the mature state is very small; or the appearance, color and the like of certain food at the later cooking stage are not changed greatly and cannot be effectively identified through images, and the cooking effect can be better controlled by combining the internal temperature.

In a variation, the cooking appliance 1 may be provided with a plurality of image capturing devices 13 for acquiring images of cooked food and recognition results from different angles, and determining one recognition result based on priority to improve the accuracy of food maturity recognition.

Specifically, two frames of the real-time images at the same acquisition time are acquired at least in different directions; respectively identifying the real-time images according to the maturity judging model to obtain corresponding identification results; and determining an identification result according to a preset priority standard so as to control the cooking appliance according to the identification result. Here, it should be noted that two frames of real-time images at the same capturing time are obtained by at least two cameras, and the capturing angles or directions of the two cameras are different. The ripeness states of the food can be identified from different angles through the plurality of camera devices, the ripeness states of the food can be monitored better and more timely, and therefore the cooking appliance is intelligently controlled, and the cooking result can achieve the expected effect.

Wherein the priority criterion is determined based on the recognition result; wherein the identification result at least comprises one of the following: food maturity, food immature, food overcooked; and the recognition result corresponding to the food maturity is higher in priority.

Specifically, each image capturing device 12 may correspond to a plurality of recognition results, including food ripeness, food maturity, and food overcooking. Wherein the recognition result is prioritized such that food maturity is prioritized over food maturity and food overcooking.

For example, the cooking appliance 1 includes two cameras, and two images at the same acquisition time are correspondingly acquired and correspond to two recognition results, and if the results are the same, the recognition result is output; if not, a recognition result is re-recognized or determined according to the priority. When the recognition result of one image capturing device 13 is that the food is not cooked well and the recognition result of the other image capturing device 13 is that the food is cooked well, which means that some parts of the food are not cooked well or the expected cooking effect is not achieved, the control module 11 can control to increase the cooking time or increase the cooking temperature based on the recognition result of the food is not cooked well. Therefore, the situation that the food is not ripe after the cooking is finished is avoided. In the embodiment, the observation positions of the two cameras are relatively comprehensive, particularly in the cooking monitoring stage, when some parts are scorched or the color changes too fast, if the parts are at the rear part closest to the oven hot air fan, a single camera cannot be taken into consideration, and the two cameras can immediately find abnormality and make corresponding adjustment.

In a particular embodiment, the method may also perform the identification of the food type before identifying whether the food is ripe or not. Specifically, a food recognition model for food recognition is stored by a memory; when food is put into the cooking appliance 1 and the door is closed, the image acquisition device 12 is triggered to work and a first image of the food is acquired; the control module 11 identifies the first image through a food identification model, and determines a maturity judgment model corresponding to the food according to the identification result. Food types are identified through image identification, and a maturity judging model corresponding to the food types is obtained, so that food is automatically identified and the maturity state of the food is judged, and the cooking appliance works intelligently.

In an embodiment of the present invention, a control system of a cooking appliance 1 is further disclosed, which includes the cooking appliance 1 and a server that can interact with each other, wherein a control module 11 can be disposed on the server, and the control module 11 is configured to execute the method described in the foregoing fig. 3. Specifically, the control module 11 is in communication connection with the cooking appliance 1, and the cooking appliance 1 operates according to the cooking control parameters sent by the control module 11. Therefore, the control module 11 is arranged on the remote server and performs data processing such as identification and the like on the remote server, so that on one hand, training, learning and updating of data such as models and the like are facilitated, and data and accuracy of processed data are improved; on the one hand, the complexity of the cooking appliance itself is reduced. So, promoted control cooking utensil's intelligent degree.

The embodiment of the present invention further provides a computer-readable storage medium, which is a non-volatile storage medium or a non-transitory storage medium, and a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program performs the steps of the control method provided in any of the above embodiments.

Although specific embodiments have been described above, these embodiments are not intended to limit the scope of the disclosure, even if only a single embodiment is described with respect to a particular feature. The characteristic examples provided in the present disclosure are intended to be illustrative, not limiting, unless stated differently. In particular implementations, features from one or more dependent claims may be combined with features of the independent claims and features from respective independent claims may be combined in any appropriate manner and not merely in the specific combinations enumerated in the claims.

Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (12)

1. A control method of a cooking appliance is characterized in that,

presetting a maturity judging model for judging whether food is mature or not, wherein the maturity judging model at least comprises a standard image representing that the food is in a mature state;

when the triggering condition is met, acquiring a real-time image of food in the cooking appliance;

and identifying the real-time image according to the standard image of the mature state to determine whether the food is mature or not, and acquiring cooking control parameters according to the identification results of the real-time image and the corresponding standard image to control a cooking appliance.

2. The method of claim 1, wherein the trigger condition comprises a food temperature reaching a set temperature; or the cooking time reaches a preset time.

3. The method of claim 1, comprising:

acquiring a cooking maturity parameter selected by a user;

acquiring a corresponding standard image in a maturity judging model according to the maturity parameter;

and comparing the real-time image with the standard image, and controlling the cooking appliance according to the comparison result.

4. The method of claim 1 or 3, further comprising: acquiring the internal temperature of the food; when the internal temperature is lower than the standard temperature, increasing the cooking time or the cooking temperature according to the internal temperature to control the cooking appliance; otherwise, controlling the cooking appliance to stop working.

5. The method of claim 1 or 3, wherein when it is determined that the food is not yet ripened according to the comparison of the real-time image and the standard image, the cooking time or the cooking temperature is increased to control the cooking appliance; otherwise, controlling the cooking appliance to stop working.

6. The method of claim 1, comprising:

acquiring two frames of the real-time images at the same acquisition moment at least in different directions;

respectively identifying the real-time images according to the maturity judging models to obtain corresponding identification results;

and determining an identification result according to a preset priority standard so as to control the cooking appliance according to the identification result.

7. The method of claim 6, wherein the priority criteria is determined based on the recognition result; wherein the identification result at least comprises one of the following: food ripeness, food maturity, food overcooked; and the recognition result corresponding to the food maturity is higher in priority.

8. The method of claim 1, further comprising, prior to the method: presetting a food identification model for food identification; acquiring a first image of the food; identifying the first image by a food identification model; and determining a maturity judgment model corresponding to the food according to the recognition result.

9. The method of claim 1, wherein the cooking appliance comprises an oven.

10. A cooking appliance comprising a body and a control module provided to the body, wherein the control module is configured to perform the method of claims 1-9.

11. A cooking appliance control system comprising a control module, characterized in that the control module is configured to perform the method of claims 1-9.

12. The system of claim 11, further comprising a cooking appliance, wherein the control module is communicatively coupled to the cooking appliance, and wherein the cooking appliance operates according to cooking control parameters sent by the control module.

Images