CN112034721A - Intelligent cooking guidance control method, device, equipment, terminal and system - Google Patents
Intelligent cooking guidance control method, device, equipment, terminal and system Download PDFInfo
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Abstract
The invention discloses an intelligent cooking guidance control method, device, equipment, terminal and system, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring corresponding recipe data according to a recipe data acquisition request, wherein the recipe data at least comprises recipe step data; generating a voice broadcast task chain according to the step time nodes in the recipe data; triggering a corresponding voice broadcast task at each step time node according to the voice broadcast task chain; and adjusting the voice broadcast task of the voice broadcast task chain in real time according to the acquired dish and heat picture data. According to the method and the device, the duration and the quality of the food are controlled in real time and the cooking strategy is adjusted in time through voice task broadcasting and image recognition comparison generated according to the recipe step time chain, so that the cooking is not rigid, complex and uncontrollable, the high requirement of a user on intelligent cooking guidance can be well met, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to an intelligent cooking guidance control method, device, equipment, terminal and system.
Background
No matter the current market is a text or a network tutorial or even a mobile phone application recipe, the recipe basically only comprises materials, steps and a general effect chart, a cooker needs to remember the procedures when actually cooking, then the cooker basically keeps hands and feet in disorder when operating, the sequence of placing the materials is not correct, the time is not held, the duration control is not good, the finished product is difficult to satisfy and the cooking enthusiasm is struck, and the requirement of the cooker can not be met far in the current intelligent era.
Disclosure of Invention
In order to solve the problems of the prior art, the embodiment of the invention provides an intelligent cooking guidance control method, device, equipment, terminal and system. The technical scheme is as follows:
in a first aspect, an intelligent cooking guidance control method is provided, the method including:
acquiring corresponding recipe data according to a recipe data acquisition request, wherein the recipe data at least comprises recipe step data;
generating a voice broadcast task chain according to the step time nodes in the recipe data;
triggering a corresponding voice broadcast task at each step time node according to the voice broadcast task chain;
and adjusting the voice broadcast task of the voice broadcast task chain in real time according to the acquired dish and heat picture data.
Preferably, acquiring the corresponding recipe data according to the recipe data acquisition request includes:
and determining the recipe data corresponding to the recipe options according to the selected recipe options and the preset mapping relation between the recipe options and the recipe data.
Preferably, generating a voice broadcast task chain according to the step time node in the recipe data includes:
and extracting step content information data corresponding to a plurality of step time nodes in the recipe data, and generating a recipe task chain object consisting of all key voice broadcast step subchains.
Preferably, adjust in real time according to the dish and the hot weather picture data of acquireing the voice broadcast task of voice broadcast task chain includes:
and acquiring dishes and the heating pictures by using a preset feature extraction algorithm, identifying and comparing the dishes and the heating pictures, and adjusting the voice broadcasting task of the voice broadcasting task chain according to an adjustment strategy corresponding to an identification comparison result.
Preferably, utilize and preset the feature extraction algorithm and gather dish and hot picture and carry out the discernment contrast, correspond the adjustment strategy according to discernment contrast result, adjust the voice broadcast task of voice broadcast task chain includes:
sampling the user uploaded picture and the standard picture by using a preset feature extraction algorithm;
respectively carrying out pixel splitting on the user uploaded picture and the standard picture to generate respective pixel arrays;
respectively collecting and filtering sampling points of the respective pixel arrays;
traversing and comparing the filtered data to obtain a comparison result;
and carrying out average difference calculation on the comparison result, if the calculation result is located in a negative value interval, generating a voice broadcast task with too small broadcast duration and if the calculation result is located in a positive value interval, generating a voice broadcast task with too large broadcast duration.
Preferably, the preset feature extraction algorithm is a FREAK algorithm.
In a second aspect, an intelligent cooking guidance control device is provided, which includes:
a recipe data acquisition module to: acquiring corresponding recipe data according to a recipe data acquisition request, wherein the recipe data at least comprises recipe step data;
voice broadcast task chain generation module for: generating a voice broadcast task chain according to the step time nodes in the recipe data;
voice broadcast task trigger module for: triggering a corresponding voice broadcast task at each step time node according to the voice broadcast task chain;
voice broadcast task adjustment module for: and adjusting the voice broadcast task of the voice broadcast task chain in real time according to the acquired dish and heat picture data.
In a third aspect, an intelligent cooking guidance control device is provided, comprising:
a processor;
a memory for storing executable instructions of the processor;
wherein the processor is configured to execute the steps of the intelligent cooking direction manipulation method according to any aspect of the first aspect via the executable instructions.
In a fourth aspect, an intelligent cooking guidance control terminal is provided, the terminal comprising: the system comprises an input interface, an output interface, a processor and a memory, wherein program instructions are stored in the memory; the processor is configured to execute the program instructions stored in the memory to perform the steps of the intelligent cooking guidance control method according to any one of the aspects of the first aspect.
In a fifth aspect, an intelligent cooking guidance control system is provided, which includes a back-end server and a user terminal, wherein the back-end server includes a database storing recipe data, the recipe data at least includes recipe step data, the back-end server acquires corresponding recipe data from the database according to a recipe data acquisition request sent by the user terminal, and generates a voice broadcast task chain according to step time nodes in the recipe data; the back-end server triggers a corresponding voice broadcast task at each step time node according to the voice broadcast task chain and sends the voice broadcast task to the user terminal; and the back-end server adjusts the voice broadcast task of the voice broadcast task chain in real time according to the dish and the hot picture data acquired from the user terminal and then sends the voice broadcast task to the user terminal.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
the intelligent cooking guidance control of the user base is realized by broadcasting the voice task generated according to the recipe step time chain, in the cooking process of the user, the picture is shot through the received user dishes to be subjected to image recognition comparison, the voice broadcasting task of the voice broadcasting task chain is adjusted in real time according to the image recognition comparison result, the duration and the quality of the dishes are controlled in real time, the cooking strategy is adjusted in time, the cooking is not rigid, complex and uncontrollable, the high requirement of the user on the intelligent cooking guidance can be well met, and the user experience is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of an intelligent cooking guidance control method according to embodiment 1 of the present invention;
fig. 2 is an example of a voice broadcast task chain generation processing flow;
FIG. 3 is a flow diagram of sub-steps of step 104 of FIG. 1;
fig. 4 is a schematic structural diagram of an intelligent cooking guidance control device according to embodiment 2 of the present invention;
fig. 5 is a schematic structural diagram of an intelligent cooking guidance control device according to embodiment 3 of the present invention;
fig. 6 is a schematic structural diagram of an intelligent cooking guidance control terminal according to embodiment 4 of the present invention;
fig. 7 is a schematic structural diagram of an intelligent cooking guidance control system according to embodiment 5 of the present invention;
fig. 8 is a flow chart of an intelligent cooking guidance operation business provided by an application embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Artificial Intelligence (Artificial Intelligence), abbreviated in english as AI. The method is a new technical science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence, a field of research that includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others. Since the birth of artificial intelligence, theories and technologies become mature day by day, and application fields are expanded continuously, so that science and technology products brought by the artificial intelligence in the future can be assumed to be 'containers' of human intelligence. The artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but can think like a human, and can also exceed human intelligence.
Image recognition, which refers to a technique for processing, analyzing and understanding images by a computer to recognize various different patterns of objects and objects, is a practical application of applying a deep learning algorithm. Image recognition is an important area of artificial intelligence. In order to create a computer program that simulates human image recognition activities, different image recognition models have been proposed. Such as a template matching model. This model considers that a certain image is recognized and that it is necessary to have a memory pattern, also called template, of this image in past experience. If the current stimulus matches the template in the brain, the image is identified.
Natural language processing is an important direction in the fields of computer science and artificial intelligence. It studies various theories and methods that enable efficient communication between humans and computers using natural language. Natural language processing is a science integrating linguistics, computer science and mathematics. Therefore, the research in this field will relate to natural language, i.e. the language that people use everyday, so it is closely related to the research of linguistics, but has important difference. Natural language processing is not a general study of natural language but is directed to the development of computer systems, and particularly software systems therein, that can efficiently implement natural language communications. It is thus part of computer science. Natural Language Processing (NLP) is a field of computer science, artificial intelligence, linguistics that focuses on the interaction between computers and human (natural) language.
Cooking is essential to daily life of people, is not only a necessary life skill of people, but also can be used for mastering temperament and performance. However, the beginners are difficult to start all the things, if no good cooking teachers exist, or the beginners are stricken by themselves, the beginners are difficult to worry, if an AI cooking coach scheme capable of playing intelligent cooking guidance can be developed by combining an AI technology, dead backs of recipes are avoided, steps are forgotten, and pain spots encountered by beginners in cooking such as duration and degree of heating cannot be mastered. Therefore, for friends who learn to cook, the Michelin big kitchen which can be handled by hands is nearby, and the pressure on food is not applied in the cooking day.
According to the intelligent cooking guidance control method, the intelligent cooking guidance control device, the intelligent cooking guidance control equipment, the intelligent cooking guidance control terminal and the intelligent cooking guidance control system, the intelligent cooking guidance control on the basis of the user is achieved through voice task broadcast generated according to the recipe step time chain, in the cooking process of the user, image recognition and comparison are conducted through received dish shooting pictures of the user, the voice broadcast task of the voice broadcast task chain is adjusted in real time according to the image recognition and comparison results, the duration and the quality of the dishes are mastered in real time, the cooking strategy is adjusted in time, the cooking is not deadly, complicated and uncontrollable, the high requirements of the user on the intelligent cooking guidance can be well met, and the user experience is improved.
The following describes in detail an intelligent cooking guidance control method, apparatus, device, terminal and system provided by the embodiments of the present invention with reference to the specific embodiments and the accompanying drawings.
Example 1
Fig. 1 is a flowchart of an intelligent cooking guidance control method according to embodiment 1 of the present invention, and as shown in fig. 1, the intelligent cooking guidance control method according to the embodiment includes the following steps:
101. and acquiring corresponding recipe data according to the recipe data acquisition request, wherein the recipe data at least comprises recipe step data.
Preferably, the recipe data corresponding to the recipe options is determined according to the selected recipe options and the preset mapping relation between the recipe options and the recipe data. The recipe data at least comprises recipe step data capable of reflecting the operation content of each step of the recipe operation flow.
It is noted that, the process of step 101 may be implemented in other ways besides the way described in the above steps without departing from the concept of the present invention, and the embodiment of the present invention is not limited to the specific way.
102. And generating a voice broadcast task chain according to the step time nodes in the recipe data.
Preferably, step content information data corresponding to a plurality of step time nodes in the recipe data are extracted, and a recipe task chain object composed of all key voice broadcast step sub-chains is generated. Here, the step content information data may be extracted by using any possible natural language processing technology in the prior art to perform content acquisition, and the plurality of step time nodes may be all step time nodes or selected key step time nodes.
Illustratively, a complete recipe processing flow is taken as a task chain object, and the attributes are as follows: dealTime is task execution time; stepchain, which is a daughter chain corresponding to the execution time; each key voice broadcast step is taken as a sub-chain (StepChain), and the attributes are as follows: step, execution sequence number, and b content, voice broadcast content, and processing by using a chain of responsibility mode for each step of operation, and the execution flow is shown in fig. 2.
It is noted that, the process of step 102 may be implemented in other ways besides the way described in the above steps without departing from the concept of the present invention, and the embodiment of the present invention is not limited to the specific way.
103. And triggering the corresponding voice broadcast task at each step time node according to the voice broadcast task chain.
Preferably, a corresponding voice broadcast task trigger condition is preset at a step time node corresponding to each key voice broadcast step subchain of the voice broadcast task chain, and the trigger condition may be that the time reaches the time node.
It is noted that, the process of step 103 may be implemented in other ways besides the way described in the above steps without departing from the concept of the present invention, and the embodiment of the present invention is not limited to the specific way.
104. And adjusting the voice broadcast task of the voice broadcast task chain in real time according to the acquired dish and heat picture data. Preferably, the dish and the duration and degree picture are collected by using a preset feature extraction algorithm, identification and comparison are carried out, whether the dish is cooked in a certain time period to form corresponding colors is judged, a strategy is adjusted according to the identification and comparison result, a voice broadcasting task of the voice broadcasting task chain is adjusted, if the duration and degree of the dish is small, the cooking effect is not achieved, the duration and degree of the dish are adjusted continuously, the duration and degree of the dish are increased or the cooking time is prolonged according to the corresponding strategy of the voice broadcasting, and vice versa.
Further preferably, as shown in fig. 3, the step 104 includes the following sub-steps:
1041. sampling the user uploaded picture and the standard picture by using a preset feature extraction algorithm;
1042. respectively carrying out pixel splitting on the user uploaded picture and the standard picture to generate respective pixel arrays;
1043. respectively collecting and filtering sampling points of respective pixel arrays;
1044. traversing and comparing the filtered data to obtain a comparison result;
1045. and carrying out average difference calculation on the comparison result, if the calculation result is located in a negative value interval, generating a voice broadcast task with too small broadcast duration and if the calculation result is located in a positive value interval, generating a voice broadcast task with too large broadcast duration.
Preferably, the preset feature extraction algorithm is a FREAK algorithm.
It is noted that the process of step 104 may be implemented in other ways besides the way described in the above steps without departing from the concept of the present invention, and the embodiment of the present invention is not limited to the specific way.
Example 2
Fig. 4 is a schematic structural diagram of the intelligent cooking guidance control device according to embodiment 2 of the present invention, and as shown in fig. 4, the intelligent cooking guidance control device includes a recipe data obtaining module 21, a voice broadcast task chain generating module 22, a voice broadcast task triggering module 23, and a voice broadcast task adjusting module 24. Wherein, the recipe data obtaining module 21 is configured to: and acquiring corresponding recipe data according to the recipe data acquisition request, wherein the recipe data at least comprises recipe step data. Voice broadcast task chain generation module 22 is used for: and generating a voice broadcast task chain according to the step time nodes in the recipe data. Voice broadcast task trigger module 23 is used for: and triggering the corresponding voice broadcast task at each step time node according to the voice broadcast task chain. Voice broadcast task adjustment module 24 for: and adjusting the voice broadcast task of the voice broadcast task chain in real time according to the acquired dish and heat picture data.
Example 3
Fig. 5 is a schematic structural diagram of an intelligent cooking guidance control device according to embodiment 3 of the present invention, and as shown in fig. 5, the intelligent cooking guidance control device includes: a processor 31; a memory 32 for storing executable instructions for the processor; wherein the processor 31 is configured to execute the steps of the intelligent cooking direction control method according to any one of the embodiments 1 via the executable instructions (i.e. program).
Example 4
Fig. 6 is a schematic structural diagram of an intelligent cooking guidance control terminal according to embodiment 4 of the present invention. As shown in fig. 6, the intelligent cooking guidance control terminal includes: an input interface 41, an output interface 42, a processor 43 and a memory 44, wherein the memory 44 stores program instructions; the processor 43 is configured to execute the program instructions stored in the memory to perform the steps of the intelligent cooking guidance control method according to any one of the embodiments 1.
Example 5
Fig. 7 is a schematic structural diagram of an intelligent cooking guidance control system according to embodiment 5 of the present invention. As shown in fig. 7, the intelligent cooking guidance control system includes a back-end server 51 and a user terminal 52, wherein the back-end server 51 includes a database 511 storing recipe data including at least recipe step data. The back-end server 51 acquires corresponding recipe data from the database 511 according to a recipe data acquisition request sent by the user terminal 52, and generates a voice broadcast task chain according to step time nodes in the recipe data; the back-end server 51 triggers a corresponding voice broadcast task at each step time node according to the voice broadcast task chain, and sends the voice broadcast task to the user terminal 52; the back-end server 51 adjusts the voice broadcast task of the voice broadcast task chain in real time according to the dish and the hot picture data acquired from the user terminal 52, and then transmits the voice broadcast task to the user terminal 52.
Exemplarily, the intelligent cooking guidance control system performs the intelligent cooking guidance control process as follows:
step 1: and the application acquires corresponding step data in the server according to the selected recipe.
Step 2: and generating a voice broadcast task chain according to the time key nodes in the step data.
And step 3: and at the key time point, the user photographs dishes and flame photos through the user terminal and uploads the dishes and the flame photos to the cloud server (namely, a back-end server).
And 4, step 4: and the cloud server identifies and compares the dishes and the images of the duration and degree of heating according to the time points in the task chain.
And 5: firstly, carrying out picture comparison and identification on an uploaded dish picture and a duration picture, and judging whether the dish is cooked in a certain time period to form corresponding colors or not;
step 6: if the dish duration of a fire is little, do not reach the culinary art effect, continue the adjustment and the voice broadcast corresponds big duration of a fire of strategy or extension culinary art time, vice versa through high in the clouds server to the time chain.
All the above-mentioned optional technical solutions can be combined arbitrarily to form the optional embodiments of the present invention, and are not described herein again.
Application example 1
In combination with the application embodiment, the intelligent cooking guidance control method, device, equipment, terminal and system provided by the embodiment of the invention are further described.
The specific steps are illustrated by taking a specific cooking dish as an example. For example, a pancake-making recipe mainly includes two major steps: firstly, the user is required to stir materials such as flour and the like to be sticky, and secondly, the frying pan begins to fry pancake.
As shown in fig. 8, the smart phone obtains a cooking dish list from the server through a path 1, and the user selects dishes (pancakes) that the user wants to make through paths 2 and 3, and uploads a user selection result to the server through the smart phone; generating final recipe voice broadcast contents to downlink to the mobile phone according to the user selection result through the path 4 server; the mobile phone broadcasts and displays the operation steps and informs the user of the materials (flour, eggs, chives and water) required by the pancake through the path 5 according to the acquired content; starting cooking, clicking a mobile phone by a user according to prompt ready materials, carrying out voice broadcasting on the mixture of the flour, the egg, the chive and the water according to the requirement of adding the flour, the egg, the chive and the water for stirring, carrying out operation on the premise that the user starts firing and oil drainage according to the broadcasting, pouring the kneaded batter into a pot for flattening, and uploading pictures to a server through paths 6 and 7; the server compares the picture color with the current time period to judge the maturity of the pancake, if the color is darker to indicate that the duration of a fire is large, and if the color is lighter to indicate that the duration of a fire is small, the result is fed back to the mobile phone through the path 8, and the user adjusts the flame according to the feedback prompt, so that the process is repeated until the pancake is finished.
In summary, compared with the prior art, the intelligent cooking guidance control method, device, equipment, terminal and system provided by the embodiment of the invention have the following beneficial effects:
the intelligent cooking guidance control of the user base is realized by broadcasting the voice task generated according to the recipe step time chain, in the cooking process of the user, the picture is shot through the received user dishes to be subjected to image recognition comparison, the voice broadcasting task of the voice broadcasting task chain is adjusted in real time according to the image recognition comparison result, the duration and the quality of the dishes are controlled in real time, the cooking strategy is adjusted in time, the cooking is not rigid, complex and uncontrollable, the high requirement of the user on the intelligent cooking guidance can be well met, and the user experience is improved.
It should be noted that: the intelligent cooking guidance control device, equipment, terminal and system provided in the above embodiments are exemplified by only the division of the above functional modules when triggering the intelligent cooking guidance control service, and in practical applications, the above function distribution may be completed by different functional modules as needed, that is, the internal structures of the device, equipment, terminal and system are divided into different functional modules to complete all or part of the above described functions. In addition, the intelligent cooking guidance control device, the intelligent cooking guidance control equipment, the intelligent cooking guidance control terminal and the intelligent cooking guidance control system provided by the embodiment belong to the same concept, and specific implementation processes are detailed in method embodiments and are not repeated herein.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all changes and modifications that fall within the true scope of the embodiments of the present application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. An intelligent cooking guidance control method, characterized in that the method comprises:
acquiring corresponding recipe data according to a recipe data acquisition request, wherein the recipe data at least comprises recipe step data;
generating a voice broadcast task chain according to the step time nodes in the recipe data;
triggering a corresponding voice broadcast task at each step time node according to the voice broadcast task chain;
and adjusting the voice broadcast task of the voice broadcast task chain in real time according to the acquired dish and heat picture data.
2. The method of claim 1, wherein obtaining the respective recipe data in accordance with the recipe data acquisition request comprises:
and determining the recipe data corresponding to the recipe options according to the selected recipe options and the preset mapping relation between the recipe options and the recipe data.
3. The method of claim 1, wherein generating a voice broadcast task chain according to step time nodes in the recipe data comprises:
and extracting step content information data corresponding to a plurality of step time nodes in the recipe data, and generating a recipe task chain object consisting of all key voice broadcast step subchains.
4. The method of claim 1, wherein adjusting the voice broadcast task of the voice broadcast task chain in real time according to the obtained dish and hot picture data comprises:
and acquiring dishes and the heating pictures by using a preset feature extraction algorithm, identifying and comparing the dishes and the heating pictures, and adjusting the voice broadcasting task of the voice broadcasting task chain according to an adjustment strategy corresponding to an identification comparison result.
5. The method of claim 4, wherein a preset feature extraction algorithm is used for collecting dishes and hot pictures, performing recognition and comparison, and adjusting the voice broadcast task of the voice broadcast task chain according to a corresponding adjustment strategy of a recognition and comparison result, and the method comprises the following steps:
sampling the user uploaded picture and the standard picture by using a preset feature extraction algorithm;
respectively carrying out pixel splitting on the user uploaded picture and the standard picture to generate respective pixel arrays;
respectively collecting and filtering sampling points of the respective pixel arrays;
traversing and comparing the filtered data to obtain a comparison result;
and carrying out average difference calculation on the comparison result, if the calculation result is located in a negative value interval, generating a voice broadcast task with too small broadcast duration and if the calculation result is located in a positive value interval, generating a voice broadcast task with too large broadcast duration.
6. The method according to claim 4 or 5, wherein the preset feature extraction algorithm is the FREAK algorithm.
7. An intelligent cooking guidance control device, comprising:
a recipe data acquisition module to: acquiring corresponding recipe data according to a recipe data acquisition request, wherein the recipe data at least comprises recipe step data;
voice broadcast task chain generation module for: generating a voice broadcast task chain according to the step time nodes in the recipe data;
voice broadcast task trigger module for: triggering a corresponding voice broadcast task at each step time node according to the voice broadcast task chain;
voice broadcast task adjustment module for: and adjusting the voice broadcast task of the voice broadcast task chain in real time according to the acquired dish and heat picture data.
8. An intelligent cooking guidance control device, comprising:
a processor;
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the steps of the intelligent cooking direction manipulation method of any one of claims 1 to 6 via the executable instructions.
9. The utility model provides an intelligence culinary art guides control terminal which characterized in that, the terminal includes: the system comprises an input interface, an output interface, a processor and a memory, wherein program instructions are stored in the memory; the processor is used for executing the program instructions stored in the memory and executing the steps of the intelligent cooking direction control method according to any one of claims 1 to 6.
10. An intelligent cooking guidance control system is characterized by comprising a back-end server and a user terminal, wherein the back-end server comprises a database storing recipe data, the recipe data at least comprises recipe step data, the back-end server acquires corresponding recipe data from the database according to a recipe data acquisition request sent by the user terminal, and generates a voice broadcast task chain according to step time nodes in the recipe data; the back-end server triggers a corresponding voice broadcast task at each step time node according to the voice broadcast task chain and sends the voice broadcast task to the user terminal; and the back-end server adjusts the voice broadcast task of the voice broadcast task chain in real time according to the dish and the hot picture data acquired from the user terminal and then sends the voice broadcast task to the user terminal.
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