KR102363083B1 - Electronic Device for Providing User-Participating-Type AI Training Service, and Server and System therefor - Google Patents

Abstract

The present invention relates to an electronic device that provides a user-participating AI (Artificial Intelligence) training service, and AI training for performing a plurality of initial setting user inputs and AI training provided to an initial setting for AI training from a user using the service a user input receiving unit for receiving a user input; a processor for providing an initial setting UI (User Interface) screen provided to the initial setting user input and an AI training UI screen provided to the AI training user input through a display device; and transmitting data corresponding to the initial setting user input and the AI training user input to a service providing server, and receiving initial setting data and/or AI training data generated based on the transmitted data from the service providing server a communication unit, wherein the initial setting user input is a user input for selecting an object to be subjected to the AI training, a user input for selecting one of a plurality of AI algorithms, and a user for setting a format of input data for the AI training Disclosed is a technical idea including an input, and a user input for setting a plurality of behavior patterns for the object to be used for AI training.

Description

Electronic Device for Providing User-Participating-Type AI Training Service, and Server and System therefor

Various embodiments of the present invention relate to a service for performing AI (Artificial Intelligence) training on a specific object, and more particularly, an electronic device that conveniently performs AI training through user input rather than directly coding by a user; It relates to a service providing server, and a system.

After Alvin Toffler called for the third wave, the fourth wave candidates have been predicted and mentioned in quite a variety of ways. One of the few strong candidates is artificial intelligence. In fact, the bio industry, 3D printers, robots, artificial intelligence, and smartphones were selected as candidates for the fourth wave at the Davos Forum in Switzerland on January 20, 2016. It is also being argued that there will be

Artificial intelligence (AI) is the artificial implementation of some or all of the intellectual abilities of humans. The term was coined by John McCarthy at conferences held by people who made significant contributions to the theory. However, the concept of artificial intelligence itself has been around for a long time. For example, it was in 1950 that Alan Turing proposed the feasibility of a 'thinking machine' and the Turing test, and the first neural network model was proposed in 1943.

Even in the mid-20th century, artificial intelligence research was a fairly innovative research that was able to solve problems that only humans could really do, such as natural language processing and solving complex mathematical problems, with computers. field is made up of. Naturally, the AI industry was already large enough to form a $1 billion market in 1980.

After the 21st century, a deep learning paper was published by Professor Jeffrey Hinton in 2006, enabling unsupervised learning methods that were considered impossible to become possible. In addition to AlphaGo, the current AI has a higher face recognition rate or better recognition of objects compared to human capabilities. have.

As a prior patent document for performing AI training, "Cognitive ability training apparatus and method using robot (Publication No. 10-2013-0039585, hereinafter referred to as Patent Document 1)"

In the case of Patent Document 1, a teaching generating unit for transmitting a series of robot teachings for controlling the behavior of the robot to the robot; a sensor unit for collecting sensor information including three-dimensional position information and color information of the trainee; a trainee behavior information generator generating trainee behavior information based on the collected sensor information; and a cognitive ability determination unit that calculates the cognitive ability of the trainee based on the robot teaching and the trainee's behavior information.

As another prior patent document for performing AI training, "A training method of a robot equipped with a 3D camera utilizing the construction of an artificial intelligence deep learning network based on a big data platform (Publication No. 10-2017-0101455, hereafter Patent Document 2) )" exists.

In the case of Patent Document 2, a step S1 of performing image capturing and object recognition of each robot to which a 3D camera is attached; A step S2 of performing transmission of collected data through a network consisting of a main server and robots; S3 step of performing data set analysis and storage using a deep learning algorithm in the main server; S4 step of transmitting the feature map result of the main server; and step S5 of generating and analyzing a periodic feature map of the main server.

However, these prior patent documents simply disclose the basic part of performing AI training, and as will be disclosed in the present invention, the user selects a virtual target for AI training through the UI screen provided to the electronic device, and , fails to start a configuration for selecting an AI algorithm, performing initial settings including the format of input data, and a behavior pattern to be output, or a configuration for inputting input data to perform AI training and matching it to a behavior pattern have.

Publication No. 10-2013-0039585 Publication No. 10-2017-0101455

The electronic device, server, and system for providing a user-participating AI training service according to the present invention have been devised to solve the conventional problems as described above, and rather than performing AI training by directly coding by a non-expert user, , to increase user convenience by performing AI training through simple user input using a preset platform.

The problems to be solved of the present invention are not limited to those mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

The electronic device, server, and system according to the present invention have the following problem solving means for the above problems to be solved.

An electronic device for providing a user-participating artificial intelligence (AI) training service according to the present invention includes a plurality of initial setting user inputs provided for initial setting for AI training from a user using the service and an AI training user input for performing AI training A user input receiving unit receiving A communication unit for transmitting an input and data corresponding to the AI training user input to a service providing server, and receiving initial setting data and/or AI training data generated based on the transmitted data from the service providing server, The initial setting user input includes a user input for selecting an object to be subjected to AI training, a user input for selecting one of a plurality of AI algorithms, a user input for setting a format of input data for AI training, and the AI It may include a user input for setting a plurality of behavior patterns for the object to be used for training.

According to various embodiments of the present disclosure, the communication unit receives AI training algorithm information generated as a result of the AI training from the service providing server, and the received AI training algorithm information is exclusive to the user's account It may be characterized as information.

According to various embodiments of the present disclosure, the communication unit receives the AI training algorithm information from the service providing server based on a user input requesting the AI training algorithm information, and the AI training algorithm information is performed by the AI training. It may be characterized in that it is generated by the service providing server when the number of times is greater than or equal to a preset number of times.

According to various embodiments of the present disclosure, the AI training algorithm information may be transmitted to an external device so that the external device operates based on the AI training algorithm information.

According to various embodiments of the present disclosure, the format of the input data for AI training may include text information, voice information, and image information, and the data amount of the input data may be limited within a preset range.

According to various embodiments of the present disclosure, the user input receiving unit receives a user invitation input for allowing another user to participate in the AI training, and the communication unit transmits the user invitation input directly or through the service providing server of the other user. transmitted to the electronic device, and the other user may perform the AI training using the other user's electronic device.

According to various embodiments of the present disclosure, the AI training algorithm information corresponds to the AI training results performed by the user and the other user, and the received AI training algorithm information is for accounts of the user and the other user. It may be characterized as exclusive and exclusive information.

According to various embodiments of the present disclosure, the user input receiving unit further receives an initial setting user input for inputting a parameter value and a structure provided based on the selected AI algorithm, wherein the parameter value is the It may be characterized by including the layer of the AI algorithm, a node of each layer, a function, and the number of iterations.

According to various embodiments of the present disclosure, the plurality of behavior patterns include a preset behavior pattern and/or a behavior pattern input by a user in addition to the preset behavior pattern, and the preset behavior pattern is determined by another user. It may be characterized by including a behavior pattern input for use.

According to various embodiments of the present disclosure, the processor may reduce the amount of data by preprocessing the input data input through the AI training UI screen.

According to various embodiments of the present disclosure, the AI training algorithm information generated as a result of the AI training may be shared with other users who use the service.

A service providing server providing a user-participating AI (Artificial Intelligence) training service according to the present invention includes a communication unit for receiving an initial setting for AI training and a request for AI training from an electronic device of a user using the service, and the received Perform the initial setting and the AI training for the AI training based on each request, and transmit the initial setting data and/or AI training data corresponding to each of the performed initial setting and the performed AI training through the communication unit a processor for transmitting to the electronic device, wherein the data requesting the initial setting is an object to be subjected to the AI training, one AI algorithm among a plurality of AI algorithms, a format of input data for AI training, and the It may be characterized by including a plurality of behavior patterns for the object to be used for AI training.

According to various embodiments of the present disclosure, the communication unit receives a request for AI training algorithm information from the electronic device, the processor generates the AI training algorithm information as a result of the AI training, and the AI training algorithm information is It may be characterized as exclusive and exclusive information about the user's account.

According to various embodiments of the present disclosure, the processor may generate the AI training algorithm information when the number of times the AI training is performed is equal to or greater than a preset number of times.

According to various embodiments of the present disclosure, the communication unit receives a user invitation input for inviting another user to participate in the AI training from the electronic device, and the processor records the relationship between the user and the other user with respect to the object. It can be characterized by setting the relationship to perform AI training.

A system for providing a user-participating AI (Artificial Intelligence) training service according to the present invention provides an initial setting UI (User Interface) and AI training UI screen through a display device, and through the provided initial setting UI and AI training UI screen A first electronic device receiving a plurality of initial setting user inputs provided for initial setting for AI training from a user using the service and an AI training user input performing AI training, and the initial setting and the above from the first electronic device Receive a request for AI training, perform the initial setting for the AI training and the AI training based on each of the received requests, and initial setting data corresponding to each of the performed initial setting and the performed AI training and/or a service providing server transmitting AI training data to the first electronic device, wherein the initial setting user input is a user input for selecting an object to be subjected to AI training, and selecting one of a plurality of AI algorithms and a user input for setting a format of input data for the AI training, and a user input for setting a plurality of behavior patterns for the object to be used for the AI training.

According to various embodiments of the present disclosure, the first electronic device receives a user input requesting AI training algorithm information and makes a request to the service providing server, and the service providing server has a preset number of times the AI training is performed. If the number of times is greater than the number of times, the AI training algorithm information may be generated as a result of the AI training and transmitted to the first electronic device.

According to various embodiments of the present disclosure, the AI training algorithm information may be characterized as exclusive and exclusive information about the user's account.

According to various embodiments of the present disclosure, the system further includes a second electronic device as an electronic device of another user who uses the service, and the first electronic device is a user who allows the other user to participate in the AI training. An invitation input may be received and transmitted to the service providing server, and the service providing server may set the relationship between the user and the other user as a relationship for performing the AI training together on the object.

According to various embodiments of the present disclosure, the service providing server receives the AI training request from the first electronic device or the second electronic device, performs the AI training based on the received request, and The AI training data corresponding to the performed AI training may be generated, and the generated AI training data may be transmitted to the first electronic device and the second electronic device.

According to various embodiments of the present disclosure, a method for an electronic device to provide a user participatory AI training service includes an operation of providing an initial setting UI (User Interface) screen through a display device, and using the service through the initial setting UI screen. An operation of receiving a plurality of initial setting user inputs provided for initial setting for AI training from a user, an operation of transmitting data corresponding to the initial setting user input to a service providing server, and an AI training UI screen through the display device An operation of providing, an operation of receiving an AI training user input for performing AI training, an operation of transmitting data corresponding to the AI training user input to the service providing server, and initial setting data generated based on the transmitted data and/or receiving AI training data from the service providing server, wherein the initial setting user input is a user input for selecting an object to be subjected to AI training, a user input for selecting one of a plurality of AI algorithms , a user input for setting a format of input data for the AI training, and a user input for setting a plurality of behavior patterns for the object to be used for the AI training.

A method for a service providing server to provide a user-participating artificial intelligence (AI) training service includes receiving an initial setting for AI training and a request for AI training from an electronic device of a user using the service, each of the received requests Based on the operation of performing the initial setting for the AI training and the AI training, and transmitting the initial setting data and/or AI training data corresponding to each of the performed initial setting and the performed AI training to the electronic device and the data requesting the initial setting is an object to be subjected to the AI training, one AI algorithm among a plurality of AI algorithms, a format of input data for the AI training, and to be used for the AI training. It may be characterized in that it includes a plurality of behavior patterns for the object.

The method for providing the service by a system providing a user-participating AI (Artificial Intelligence) training service includes an operation in which a first electronic device provides an initial setting UI (User Interface) and an AI training UI screen through a display device, the first An operation of the electronic device receiving a plurality of initial setting user inputs provided for initial setting for AI training from a user using the service through the provided initial setting UI and AI training UI screen and an AI training user input for performing AI training , the operation of the service providing server receiving the request of the initial setting and the AI training from the first electronic device, the service providing server initial setting for the AI training and the AI training based on each of the received requests and transmitting, by the service providing server, initial setting data and/or AI training data corresponding to each of the performed initial setting and the performed AI training to the first electronic device, The initial setting user input includes a user input for selecting an object to be subjected to the AI training, a user input for selecting one of a plurality of AI algorithms, a user input for setting a format of input data for the AI training, and the AI training It may be characterized in that it includes a user input for setting a plurality of behavior patterns for the object to be used.

According to one of the above-described problem solving means of the present invention, the electronic device, server, and system for providing a user-participating AI training service allow the user through a preset UI screen to be a target of AI training, an AI algorithm, A form of input data for AI training and a plurality of behavior patterns for the object can be simply selected, and the AI training for the object can be easily performed using the initial setting determined through this. According to various embodiments of the present invention, even a non-expert user can easily perform AI training to obtain an AI model of a desired shape, and can be actually implemented by interlocking it with a robot type device or the like.

Effects of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a diagram illustrating a system for providing a user-participating artificial intelligence (AI) training service in an electronic device and a service providing server according to an embodiment of the present invention.
2 is a diagram illustrating a configuration of an electronic device according to various embodiments of the present disclosure;
3 is a diagram illustrating an initial setting UI screen displayed on an electronic device according to various embodiments of the present disclosure;
4 is a diagram illustrating an AI training UI screen displayed on an electronic device according to various embodiments of the present disclosure.
5 is a diagram showing the configuration of a service providing server according to various embodiments of the present invention.
6 is a flowchart illustrating a method of providing a user-participating AI training service according to various embodiments of the present disclosure.
7 is a flowchart illustrating a method of providing a user-participating AI training service according to another embodiment of the present invention.

Hereinafter, various embodiments of the present invention will be described with reference to the accompanying drawings. However, this is not intended to limit the present invention to specific embodiments, and it should be understood that various modifications, equivalents, and/or alternatives of the embodiments of the present invention are included. In connection with the description of the drawings, like reference numerals may be used for like components.

In this document, expressions such as "have", "may have", "includes", or "may include" indicate the presence of a corresponding characteristic (eg, a numerical value, function, operation, or component such as a part). and does not exclude the presence of additional features.

In this document, expressions such as “A or B”, “at least one of A or/and B”, or “one or more of A or/and B” may include all possible combinations of the items listed together. . For example, "A or B", "at least one of A and B", or "at least one of A or B" means (1) includes at least one A, (2) includes at least one B; Or (3) it may refer to all cases including both at least one A and at least one B.

Expressions such as "first", "second", "first", or "second" used in various embodiments may modify various components regardless of order and/or importance, do not limit For example, the first user equipment and the second user equipment may represent different user equipment regardless of order or importance. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, the second component may also be renamed to a first component.

A component (eg, a first component) is "coupled with/to (operatively or communicatively)" to another component (eg, a second component); When referring to "connected to", it will be understood that the certain element may be directly connected to the other element or may be connected through another element (eg, a third element). On the other hand, when it is said that a component (eg, a first component) is "directly connected" or "directly connected" to another component (eg, a second component), the component and the It may be understood that other components (eg, a third component) do not exist between other components.

The expression "configured to (or configured to)" as used in this document, depending on the context, for example, "suitable for", "having the capacity to" It can be used interchangeably with "," "designed to", "adapted to", "made to", or "capable of". The term "configured (or set up to)" may not necessarily mean only "specifically designed to" in hardware. Instead, in some circumstances, the expression “a device configured to” may mean that the device is “capable of” with other devices or parts. For example, the phrase "a processor configured (or configured to perform) A, B, and C" executes a dedicated processor (eg, an embedded processor), or one or more software programs stored in a memory device, to perform the corresponding operations. By doing so, it may refer to a generic-purpose processor (eg, a CPU or an application processor) capable of performing corresponding operations.

Terms used in this document are only used to describe specific embodiments, and may not be intended to limit the scope of other embodiments. The singular expression may include the plural expression unless the context clearly dictates otherwise. All terms used herein, including technical or scientific terms, may have the same meaning as commonly understood by one of ordinary skill in the art of the present invention. Terms defined in general used in the dictionary can be interpreted as having the same or similar meaning as the meaning in the context of the related art, and unless explicitly defined in this document, it is not interpreted in an ideal or excessively formal meaning. . In some cases, even terms defined in this document cannot be construed to exclude embodiments of the present invention.

1 is a diagram illustrating a system for providing a user-participating artificial intelligence (AI) training service in an electronic device and a service providing server according to an embodiment of the present invention. Referring to FIG. 1 , the system includes a first electronic device 100 , a service providing server 200 , a second electronic device 300 , a content server 400 , an external device 500 , and a network 600 . may include The first electronic device 100 and the second electronic device 300 according to various embodiments of the present disclosure include a smartphone, a smartpad, a tablet personal computer (PC), and a desktop PC. , a laptop PC, netbook computer, workstation, wearable device (such as smart glasses, head-mounted-device (HMD)), or smart a smart watch), a TV box (eg, Samsung HomeSync™, Apple TV™, or Google TV™), or a game console (eg, Xbox™, PlayStation™, Switch™).

The first electronic device 100 may receive information to be provided for initial setting for AI training from a user who uses the AI training service. Matters to be provided in the initial setting include an object to be subjected to the AI training, one of a plurality of AI algorithms, a format of input data for the AI training, and a plurality of behavior patterns for the object to be used for the AI training. may include

According to various embodiments of the present disclosure, the object may exist in a variety of forms, for example, people, pets, various cartoon or movie characters, entertainers, toys, robots, etc. regardless of their shape. According to various embodiments of the present disclosure, the first electronic device 100 may set even a specific part of the selected object. For example, when a pet dog is selected as an object, the first electronic device 100 may display the breed, age, sex, size, weight, and appearance details of the pet dog (eg, eyes/nose/mouth/ears). location, hair color, or tail length).

According to various embodiments of the present disclosure, the plurality of AI algorithms may include a perceptron, a neural network, an SVM, and deep learning. However, the AI algorithm of the present invention is not limited to the above type, and may further include another type of AI algorithm to be developed later.

According to various embodiments of the present disclosure, the format of the input data for AI training may include text, voice, image, and video.

According to various embodiments of the present disclosure, the plurality of behavior patterns are preset for the behavior of the object and may vary depending on which object is selected. For example, when a pet dog is selected as an object, the behavior pattern may include rolling, sitting, getting up, barking, running, and putting out a paw. Hereinafter, the object that is the target of AI training will be described as an example of a pet dog. However, it will be mentioned that the object according to various embodiments of the present disclosure is not limited to a pet dog, and thus other components are not limited to a configuration corresponding to the pet dog.

According to various embodiments of the present disclosure, the first electronic device 100 displays a UI (User Interface) screen for receiving the object, the AI algorithm, the input data format, and the behavior pattern from the user through the display device. can be provided to users. The first electronic device 100 may provide the UI screen using data having its own, or may receive and provide data corresponding to the UI screen from the service providing server 200 . Each of the object, the AI algorithm, the input data format, and the behavior pattern may be included in one UI screen, and each may have an individual UI screen. According to various embodiments of the present disclosure, the display device may include, for example, a display (eg, a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED)) integrated into an electronic device. displays, or microelectromechanical systems (MEMS) displays, or electronic paper displays, etc.), LED monitors and LCD monitors, IPTVs, Smart TVs, LED TVs, and LCD TVs, or projectors, etc. can

The first electronic device 100 may transmit data corresponding to the items to be provided in the received initial setting to the service providing server 200 . According to various embodiments of the present disclosure, the service providing server 200 is a server operated by a company that provides the AI training service and may operate as a cloud server.

The service providing server 200 may perform the initial setting for the AI training service by using data corresponding to the items to be provided for the initial setting received from the first electronic device 100 .

According to various embodiments of the present disclosure, the service providing server 200 sequentially receives each or two or more data corresponding to the object, the AI algorithm, the input form, and the behavior pattern to perform the initial setting. to perform initial setup. Since the data corresponding to the object, the AI algorithm, the input form, and the behavior pattern are not described assuming an order in which each is received, it is not limited thereto.

According to various embodiments of the present disclosure, the first electronic device 100 may further receive a user input for determining a parameter value and a structure to be provided based on the selected AI algorithm from the user. The parameter value may include a layer of the AI algorithm, a node of each layer, a function, and the number of iterations. According to various embodiments of the present disclosure, the structure may indicate the determined arrangement of the node, the function, and the number of repetitions. Even if the AI algorithm and the node, function, and number of iterations are the same, different training results can be obtained depending on how the arrangement is performed, so various embodiments of the present invention can grant the user the right to determine the structure.

Since the operation of determining the parameters and the structure may be unfamiliar if the user is not an expert, according to various embodiments of the present disclosure, the first electronic device 100 or the service providing device 200 provides user convenience. For this, default values of the parameters and structures may be set. If a separate input for determining the parameters and structures is not received from the user or an input delegated to the first electronic device 100 or the service providing apparatus 200 is received, the default values are the parameters and structures. can be the value of

According to various embodiments of the present disclosure, the default values of the parameters and structures may have different default values based on the selected object, the AI algorithm, the input form, or the behavior pattern.

According to various embodiments of the present disclosure, the user input for determining the plurality of behavior patterns may be to select only preset behavior patterns, but other behavior patterns not included in the preset behavior patterns are added to the behavior pattern request area. You can also enter According to various embodiments of the present disclosure, the preset behavior pattern may include a behavior pattern input by a certain user into the behavior pattern request area. For example, as a behavior pattern that was not presented by the service providing server 200, if the user inputs “tumble back” as a behavior of a pet dog into the behavior pattern request area, the service providing server 200 acts It is possible to create a pattern “tumble” and present the behavioral pattern “tumble” to the user in addition to the behavior pattern presented to the certain user. According to various embodiments of the present disclosure, the behavior pattern requested by the certain user may be presented in a different way from other preset behavior patterns. For example, the behavior pattern requested by the other user may be presented as a recommended behavior pattern.

According to various embodiments of the present disclosure, the behavior pattern request region or the recommended behavior pattern may not be presented to general users, but may be presented to users who subscribe to a billing service.

The first electronic device 100 may receive an AI training user input for performing AI training from a user. The AI training user input may match one of a plurality of behavior patterns with an input value based on one of the input types selected in the initial setting. For example, if the input form is a character in the initial setting and the behavior pattern includes sitting, barking, and rolling, the user inputs the character “sit” and selects “sit” among the behavior patterns to train can be performed. However, the user may also perform training by inputting the character "sit" and selecting "roll" among the behavior patterns.

According to various embodiments of the present disclosure, similar to the initial setting UI screen, the first electronic device 100 may provide an AI training UI screen to receive the AI training user input.

The first electronic device 100 may receive the AI training user input and transmit it to the service providing server 200 , and the service providing server 200 may perform AI training based on the AI training user input. Basically, the training history cannot be deleted due to the nature of the AI algorithm. If the AI training user input is trained with the character “sit” and the behavior pattern “roll”, the more times the character “sit” and the behavior pattern “sit” You can change this by performing training with

The service providing server 200 may transmit data corresponding to the performed AI training to the first electronic device 100 . When the AI training is the text "sit" and the behavior pattern "sit", the first electronic device 100 responds to the text "sit" by the pet dog through the display device using the received data to "sit" The action may be provided to the user through the AI training UI screen.

According to various embodiments of the present disclosure, the first electronic device 100 may limit the data amount of input data included in the AI training user input within a preset range. When the format of the input data is text, the first electronic device 100 may allow only texts of, for example, less than 10 characters, and in the case of voice, the first electronic device 100, for example, , only voices within 3 seconds are allowed. Also, when the format of the input data is an image, the first electronic device 100 may limit the data amount of the input data based on the resolution or the capacity of the image file. When the format of the input data is a moving picture, the first electronic device 100 may limit the amount of data of the input data based on a resolution, a capacity of a moving picture file, or a moving picture playback time.

According to various embodiments of the present disclosure, when the input data is voice, the service providing server 200 may use the voice as identification information of the user for AI training. In this case, the pet dog may not perform the matching behavior pattern to the voice of another user. According to various embodiments of the present disclosure, the voice may include a timbre, a loudness, a pitch/pitch, or a tone as identification information. Also, for consistency of AI training, when the input data is voice, the first electronic device 100 may request the user to repeatedly input the same voice.

According to various embodiments of the present disclosure, when the input data is an image, the service providing server 200 may inquire images similar to the image as the input data through the content server 400 , and retrieve the similar images. It can be processed in the same way as an image. For example, the service providing server 200 may perform AI training by matching a behavior pattern matched to the image with respect to the similar images. According to various embodiments of the present disclosure, the content server 400 may be a server operated by a company that provides the user-participating AI training service, or another company that searches the image itself as a search term, for example, Google It may be a server operated by TM.

According to various embodiments of the present disclosure, the first electronic device 100 may reduce the amount of data by preprocessing the input data. Through the pre-processing, the first electronic device 100 may reduce a response time in communication with the service providing server 200 . For example, the pre-processing may be an operation of analyzing and characterizing the input data in the form of voice, and may be an operation of characterizing the meaning of the image through image processing if the format of the input data is an image. have. Alternatively, the pre-processing may be to reduce the capacity by simply changing the format of the audio, image, or video, or reducing the bit rate/resolution or compression.

According to various embodiments of the present disclosure, if necessary, when personal information is included in the user's text, voice, image, or video input data, the first electronic device 100 performs encryption to provide a service server (200) can be transmitted. In this case, the service providing server 200 may perform decryption in a manner corresponding to the performed encryption method, and may also perform decryption using a one-time code such as OTP (One Time Password).

According to various embodiments of the present disclosure, the first electronic device 100 may receive a user invitation input for inviting another user to participate in the AI training from the user and transmit it to the service providing server 200 . According to various embodiments of the present disclosure, an application providing the AI training service installed in the first electronic device 100 and a phone book or Social Networking Service (SNS) application of the first electronic device 100 interwork Thus, the user may input a user invitation input to the first electronic device 100 to select another user stored in the phone book or another user registered as a friend in the SNS account to participate in the AI training.

According to various embodiments of the present disclosure, the service providing server 200 may transmit the user invitation details to the other user's electronic device (hereinafter, referred to as a second electronic device 300). When the second electronic device 300 approves, the service providing server 200 may group and manage the user and the other users as a group. In this case, the other user may be constrained to the initial setting set by the user and perform AI training through the second electronic device 300 . Also, the AI training performed by the first electronic device 100 and the AI training performed by the second electronic device 300 may be shared with each other. According to various embodiments of the present disclosure, each of the user and the other user may check each other's AI training log in the group chat window created by the service providing server 200 .

According to various embodiments of the present disclosure, the first electronic device 100 may receive a user input requesting AI training algorithm information from the user. The AI training algorithm information may be exclusive and exclusive information about the user's account. According to various embodiments of the present disclosure, the AI training algorithm information is information generated as a result of the AI training performed multiple times or more, and may be programming coding data, or simply as a result of AI training, the training state of the object ( state) may be data representing the state.

According to various embodiments of the present disclosure, the first electronic device 100 may request the AI training algorithm information from the service providing server 200 based on a user input requesting the received AI training algorithm information, The providing server 200 may generate AI training algorithm information for the user and transmit it to the first electronic device 100 . According to various embodiments of the present disclosure, the AI training algorithm information may be encrypted and transmitted to the first electronic device 100 .

According to various embodiments of the present disclosure, when a preset condition is satisfied, the service providing server 200 may generate the AI training algorithm information and transmit it to the first electronic device 100 . For example, the service providing server 200 may generate the AI training algorithm information only when the number of times the AI training is performed is equal to or greater than a preset number. According to various embodiments of the present disclosure, the service providing server 200 may generate the AI training algorithm information based on the accuracy or reliability of the AI training. For example, when the character "sit" is matched with the action pattern "roll" and trained, the service providing server 200 may not generate the AI training algorithm information. Alternatively, if the action pattern "sit" is properly matched to the text "sit", but the action pattern "rolling" is matched to the text "sit", it is determined that there is no consistency and the service providing server 200 is the AI training Algorithm information may not be generated.

According to various embodiments of the present disclosure, the act of transmitting the AI training algorithm information may be transferring copyright for the AI training algorithm information. If the user engages the other user and performs AI training together, the AI training algorithm information may be attributed to the user and the other user account, respectively, and the copyright is shared between the user and the other user can be

The service providing server 200 may share the AI training result performed by the user to users who use the service. According to various embodiments of the present disclosure, the AI training result may be the AI training algorithm information, but may be other information. For example, users of the service may call data on a pet dog on which AI training has been performed by the user of the first electronic device 100, but cannot perform AI training on the pet dog, but view the AI training result Based on the input data, it is possible to check what behavioral patterns are shown. In other words, it can be compared to executing a specific document through a program for a reader. According to various embodiments of the present disclosure, the AI training result may include the number of AI training times. The number of AI training may induce the use of the AI training algorithm information by allowing users of the service to determine whether the AI algorithm is sufficiently trained by looking at the AI training number.

The external device 500 is a device that can be driven using the AI algorithm, and may be, for example, various types of robots. The first electronic device 100 may transmit the AI training algorithm information received from the service providing server 200 to the external device 500 and induce a specific action using the previously performed AI training result. According to various embodiments of the present disclosure, the first electronic device 100 may operate as an input device of the external device 500 . The user may input a text, voice, image, or video to the first electronic device 100 as input data to cause the external device 500 to perform a specific action. In this case, the first electronic device 100 may provide a UI screen for operating the external device 500 to the user. According to various embodiments of the present disclosure, when the input data is voice, the voice receiver included in the external device 500 may serve as the input device.

According to various embodiments of the present disclosure, the first electronic device 100 may request the service providing server 200 to directly transmit the AI training algorithm information to the external device 500 . Alternatively, the first electronic device 100 may directly transmit the AI training algorithm information to the external device 500 . In this case, the first electronic device 100 may transmit the AI training algorithm information to the external device 500 using short-distance communication.

According to various embodiments of the present disclosure, the AI training algorithm information transmitted by the first electronic device 100 or the service providing server 200 to the external device 500 may be encrypted information.

According to various embodiments of the present disclosure, the external device 500 may be a ready-made product, but may be custom-made to fit an object selected during initial setting by the first electronic device 100 . For example, the service providing server 200 may transmit a request for making an order for the object to a manufacturer performing the order production. In this case, when there is approval of the first electronic device 100 , the service providing server 200 may transmit a request for making an order for the object.

The network 600 refers to a connection structure in which information can be exchanged between each node, such as terminals and servers, and is a telecommunications network, for example, a computer network (eg, LAN or WAN), the Internet, or a telephone network. According to various embodiments of the present disclosure, the first electronic device 100 , the service providing server 200 , the second electronic device 300 , the content server 400 , and the external device 500 perform wireless communication or wired communication. It may be connected to the network 600 through the , and may perform mutual communication. Wireless communication, as a cellular communication protocol, may include, for example, LTE, LTE-A, CDMA, WCDMA, UMTS, WiBro, or GSM, or the like. In addition, wireless communication, as short-range communication, for example, may include at least one of Wi-Fi, Bluetooth, near field communication (NFC), or global positioning system (GPS). Wired communication may include, for example, at least one of universal serial bus (USB), high definition multimedia interface (HDMI), recommended standard 232 (RS-232), or plain old telephone service (POTS).

2 is a diagram illustrating a configuration of an electronic device according to various embodiments of the present disclosure; The first electronic device 100 may include a user input receiving unit 120 , a communication unit 140 , a processor 160 , and a memory 180 . However, the configuration of the first electronic device 100 illustrated in FIG. 2 is only one embodiment of the present invention, and various modifications are possible. For example, the first electronic device 100 may further include an interface for receiving a certain command or information from the user. In various embodiments of the present disclosure, the first electronic device 100 displays a UI screen through a display device to provide a user-participating AI training service, and is connected to the first electronic device 100 via wire or wireless or is connected to the first electronic device 100 . User input information may be received through an input device integrally attached to the device 100 .

The user input receiving unit 120 may receive a user input from a user using the user-participating AI training service. The user input may be a plurality of initial setting user inputs provided for initial setting for AI training and an AI training user input for performing the AI training. According to various embodiments of the present disclosure, the plurality of initial setting user inputs may be input through an initial setting UI screen, and the AI training user input may be input through an AI training UI screen.

According to various embodiments of the present disclosure, the initial setting user input includes a user input for selecting an object to be subjected to AI training, a user input for selecting one of a plurality of AI algorithms, and a format of input data for AI training. It may include a user input for setting , and a user input for setting a plurality of behavior patterns for the object to be used for the AI training. Furthermore, the initial setting user input may further include a user input inputting a parameter value and a structure provided based on the selected AI algorithm.

According to various embodiments of the present disclosure, the AI training user input may be input data input by the user using one of the set input data formats as a reference format and a user input for selecting one of a plurality of set behavior patterns. .

According to various embodiments of the present disclosure, the user input receiving unit 120 may receive a user invitation input for inviting another user to participate in the AI training. The user invitation input can be performed by selecting the other user from another application (eg, a phone book or a social networking service (SNS) application, etc.) linked to an application for which the AI training service is provided. have.

According to various embodiments of the present disclosure, the user input receiving unit 120 may receive a user input requesting AI training algorithm information. According to various embodiments of the present disclosure, the AI training algorithm information may be programming coding data as a result of the AI training, or simply data indicating a training state of the object as a result of AI training.

According to various embodiments of the present disclosure, the user input receiving unit 120 may receive a user input requesting transmission of the AI training algorithm information to the external device 500 .

The communication unit 140 may transmit/receive data through the network 600 . According to various embodiments of the present disclosure, the communication unit 140 may be a communication module of the first electronic device 100 .

The communication unit 140 may transmit the plurality of initially set user inputs received by the user input receiving unit 120 to the service providing server 200 . According to various embodiments of the present disclosure, the communication unit 140 may transmit to the service providing server 200 at once when all of the plurality of initial setting user inputs are input, and the order in which each of the plurality of initial setting user inputs is input As such, each may be transmitted to the service providing server 200 .

For convenience, it has been described that the communication unit 140 transmits the user input to the service providing server 200, but the communication unit 140 actually transmits the service providing server 200 corresponds to each of the user inputs rather than the respective user inputs themselves. It may be data that Furthermore, the description below is not limited to the user input and may be applied to all data transmitted and received by the communication unit 140 .

Furthermore, the communication unit 140 may transmit the AI training user input received by the user input receiving unit 120 to the service providing server 200 . According to various embodiments of the present disclosure, the communication unit 140 may receive data corresponding to the corresponding AI training from the service providing server 200 in response to the transmitted AI training user input.

According to various embodiments of the present disclosure, the communication unit 140 may transmit the user invitation input received from the user input receiving unit 120 to the service providing server 200 . If the user invitation is performed by the processor 160 without going through the service providing server 200 , the communication unit 140 may transmit a user invitation input to the second electronic device 300 .

According to various embodiments of the present disclosure, the communication unit 140 may request AI training algorithm information from the service providing server 200 . Also, the communication unit 140 may receive the AI training algorithm information from the service providing server 200 .

According to various embodiments of the present disclosure, the communication unit 140 may transmit the AI training algorithm information to the external device 500 directly or through the service providing server 200 to the external device 500 .

The processor 160 may include one or more of a central processing unit (CPU), an application processor (AP), and a communication processor (CP). The processor 160 may, for example, control and control at least one other component of the first electronic device 100 , for example, the user input receiving unit 120 , the communication unit 140 , or the memory 180 . / Or it is possible to execute calculations or data processing related to communication.

The processor 160 may generate the initial setting UI screen and the AI training UI screen. For example, the processor 160 may generate the initial setting UI screen and the AI training UI screen using data previously stored in the memory 180 , or data received from the service providing server 200 . It may have been created using The processor 160 may provide the generated initial setting UI screen and AI training UI screen to the user through the display device.

According to various embodiments of the present disclosure, the processor 160 may perform preprocessing on input data included in the AI training user input. The amount of data of the input data may be reduced through the pre-processing, which may have the advantage of shortening a communication delay time with the service providing server 200 .

According to various embodiments of the present disclosure, the processor 160 may provide data corresponding to the AI training received from the service providing server 200 on the AI training UI screen. For example, when the AI training is the character "sit" and the behavior pattern "sit", the processor 160 displays the operation of the pet dog "sit" in response to the character "sit" on the AI training UI screen can be provided to the user through

The memory 180 may store data, for example, instructions for operations performed by the first electronic device 100 . In this case, the data stored in the memory 180 includes data input and output between each component inside the first electronic device 100 , and the first electronic device 100 and the first electronic device 100 . It may include data input and output between external components. For example, the memory 180 may store information on an initial setting user input received from the user input receiving unit 120 . Furthermore, the memory 180 may store the AI training algorithm information received from the service providing server 200 in the communication unit 140 .

According to various embodiments of the present disclosure, the memory 180 includes a hard disk drive, a read only memory (ROM), a random access memory (RAM), a flash memory, and a memory card existing inside or outside the first electronic device 100 . etc. may be included.

For those skilled in the art, each of the user input receiving unit 120 , the communication unit 140 , the processor 160 , and the memory 180 may be separately implemented in the first electronic device 100 , or one or more of them may be integrated. You will fully understand that

3 is a diagram illustrating an initial setting UI screen displayed on an electronic device according to various embodiments of the present disclosure;

The initial setting UI screen may be configured to perform initial setting as a pre-step for performing AI training. Referring to FIG. 3 , the initial setting UI screen may set a training object 31 , an AI algorithm 32 , parameter setting and structure 33 , an input data format 34 , and an output behavior pattern 35 .

According to various embodiments of the present disclosure, the user of the first electronic device 100 includes a training object 31 , an AI algorithm 32 , parameters and structures 33 , an input data format 34 , and an output behavior pattern ( 35) You can select each to perform the initial setting.

The initial setting UI screen shown in FIG. 3 may indicate a point in time when the training object 31 is selected as a pet dog. The initial setting UI screen may display an image corresponding to the selected pet dog in the corresponding area 30 . Although the pet dog is illustrated in FIG. 3 as having a robot shape, according to various embodiments of the present disclosure, the pet dog may be illustrated in the same shape as an actual dog.

4 is a diagram illustrating an AI training UI screen displayed on an electronic device according to various embodiments of the present disclosure.

The AI training UI screen is a step for performing AI training, and the user can select input data and output behavior patterns. Referring to FIG. 4 , input data may be input by selecting one of a text 41 , a voice 42 , and an image 43 . The format of the input data may be set through the input data format 34 on the initial setting UI screen of FIG. 3 . In addition, the output behavior pattern 44 is bound to the behavior patterns set through the output behavior pattern 35 on the initial setting UI screen of FIG. 3 , so that the user may select one of the behavior patterns set.

The AI training UI screen shown in FIG. 4 may indicate a point in time when “sit” is selected as the output behavior pattern 44 . The AI training UI screen may display an image corresponding to the selected behavior pattern in the corresponding area 40 .

When the behavior pattern is selected, the first electronic device 100 may display the sitting behavior of the pet dog using data previously stored in a memory. Also, according to various embodiments of the present disclosure, when the input data and the behavior pattern are selected, the first electronic device 100 transmits it to the service providing server 200, and in response thereto, the service providing server 200 The sitting behavior of the pet dog may be displayed using the data received from the .

5 is a diagram showing the configuration of a service providing server according to various embodiments of the present invention. The service providing server 200 may include a communication unit 220 , a processor 240 , and a memory 260 . However, the configuration of the service providing server 200 shown in FIG. 5 is only one implementation example of the present invention, and various modifications may be made.

The communication unit 220 may transmit/receive data through the network 600 . According to various embodiments of the present disclosure, the communication unit 220 may be a communication module of the service providing server 200 .

The communication unit 220 may receive data corresponding to a plurality of initial setting user inputs from the first electronic device 100 . Data corresponding to the plurality of initially set user inputs may be received simultaneously or sequentially. The communication unit 220 may transmit the result of the initial setting set in response to this to the first electronic device 100 .

The communication unit 220 may receive data corresponding to the AI training user input from the first electronic device 100 . The communication unit 220 may transmit data corresponding to the AI training performed in response to the first electronic device 100 .

According to various embodiments of the present disclosure, the communication unit 220 may receive data corresponding to a user invitation input from the first electronic device 100 . The communication unit 220 may transmit the user invitation details to the second electronic device 300 that is an electronic device of the user invitation target.

According to various embodiments of the present disclosure, the communication unit 220 may receive a request for AI training algorithm information from the first electronic device 100 . The communication unit 220 may transmit the AI training algorithm information generated in response to this to the first electronic device 100 .

According to various embodiments of the present disclosure, the communication unit 220 may receive a request for interworking with the external device 500 from the first electronic device 100 . In response, the communication unit 200 may transmit data to the external device 500 so that the external device 500 can operate. According to various embodiments of the present disclosure, the data may be AI training algorithm information.

The processor 240 may include one or more of a central processing unit (CPU), an application processor (AP), and a communication processor (CP). The processor 160, for example, at least one other component of the service providing server 200, for example, the communication unit 220, or the operation or data related to the control and / or communication of the memory 260 processing can be executed.

The processor 240 may perform the initial setting for the AI training based on data corresponding to the plurality of initial setting user inputs received from the communication unit 220 . According to various embodiments of the present disclosure, the processor 240 may perform the initial setting and create a chat room to be provided to the user of the first electronic device 100 . In this case, the created chat room may be bound to the initial setting.

According to various embodiments of the present disclosure, the processor 240 may flexibly perform initial setting by reinterpreting the parameter setting value and structure selected as the initial setting.

The processor 240 may perform AI training based on data corresponding to the AI training user input received from the communication unit 220 .

According to various embodiments of the present disclosure, the processor 240 responds to the data corresponding to the user invitation input received from the communication unit 220 , the user account of the first electronic device 100 and the target of the user invitation input. The accounts of the users of the second electronic device 300 may be linked with each other. According to various embodiments of the present disclosure, the processor 240 may invite the user of the second electronic device 300 to the chat room provided to the user of the first electronic device 100 based on the user invitation input.

According to various embodiments of the present disclosure, the processor 240 may generate the AI training algorithm information based on the request for the AI training algorithm information received from the communication unit 220 . According to various embodiments of the present disclosure, the processor 240 is configured with different AI algorithms (eg, perceptron, neural network, SVM, and deep learning) selected as the initial setting. AI training algorithm information can be generated so that the AI training algorithm information generated based on each can be compatible with each other.

The memory 260 may store data, for example, instructions for operations performed by the service providing server 200 . At this time, the data stored in the memory 260 includes data input and output between each component inside the service providing server 200 , and the service providing server 200 and the service providing server 200 external components. It can include data input and output between elements. For example, the memory 260 may store AI training algorithm information generated by the processor 240 .

According to various embodiments of the present disclosure, the memory 260 includes a hard disk drive, a read only memory (ROM), a random access memory (RAM), a flash memory and a memory card existing inside or outside the service providing server 200 . may be included.

Those skilled in the art will fully understand that each of the communication unit 220 , the processor 240 , and the memory 260 may be implemented separately in the service providing server 200 , or one or more of them may be integrated and implemented.

6 is a flowchart illustrating a method of providing a user-participating AI training service according to various embodiments of the present disclosure. The method for providing the user-participating AI training service according to the embodiment shown in FIG. 6 is time-series in the first electronic device 100 and the service providing server 200 according to the embodiment shown in FIGS. 1 to 5 . steps to be processed. Therefore, even if omitted below, the contents described with respect to the first electronic device 100 and the service providing server 200 of FIGS. 1 to 5 provide a user-participating AI training service according to the embodiment shown in FIG. 6 . method can also be applied.

In operation S602, the first electronic device 100 may receive a user input requesting initial setting from the user. The user input for requesting the initial setting may include information about an object to be subjected to AI training, an AI algorithm, a parameter value, a structure, an input data format, and a behavior pattern.

In operation S604 , the first electronic device 100 may request the service providing server 200 to set initial settings as inputted based on the user input received in operation S602 .

In operation S606, the service providing server 200 may perform initial setup for AI training based on the request received in operation S604.

In operation S608 , the service providing server 200 may notify the first electronic device 100 that the initial setting performed in operation S606 is completed.

In operation S610, the first electronic device 100 may receive a user input requesting AI training. The user input requesting the AI training may include input data and information about a behavior pattern.

In operation S612, the first electronic device 100 may request AI training as input from the service providing server 200 based on the user input received in operation S610.

In operation S614, the service providing server 200 may perform AI training based on the request received in operation S612.

In operation S616, the service providing server 200 may notify the first electronic device 100 that the AI training performed in operation S614 is completed. According to various embodiments of the present disclosure, the service providing server 200 may transmit data corresponding to AI training to the first electronic device 100 together with the notification.

In operation S618, the first electronic device 100 may display the AI training result on the display device based on the AI training completion notification received in operation S616. For example, when the AI training is the text "sit" and the behavior pattern "sit", the first electronic device 100 performs the "sit" action in response to the text "sit" by the pet dog through the display device can be provided to the user.

In operation S620, the first electronic device 100 may receive a user input requesting AI training algorithm information from the user.

In operation S622, the first electronic device 100 may request AI training algorithm information from the service providing server 200 based on the user input received in operation S620.

In operation S624, the service providing server 200 may determine whether to provide AI training algorithm information to the user account of the first electronic device 100 based on the request received in operation S622. According to various embodiments of the present disclosure, the service providing server 200 provides AI training algorithm information to the user account based on the number of times of AI training performed by the user account and the accuracy, reliability, or consistency of AI training results. You can decide whether to provide it or not.

When the service providing server 200 determines to provide the AI training algorithm information to the user account in operation S624, the service providing server 200 may transmit the AI training algorithm information to the first electronic device 100 in operation S626. have.

The order of operations S602 to S626 described above in FIG. 6 is merely an example and is not limited thereto. That is, the order between the above-described steps may be mutually changed, some of these steps may be executed simultaneously, or some steps may be omitted. In addition, the above-described steps may be periodically repeated every preset time, and may be performed again based on a user input.

7 is a flowchart illustrating a method of providing a user-participating AI training service according to other various embodiments of the present invention. The method for providing the user-participating AI training service according to the embodiment shown in FIG. 7 includes the first electronic device 100, the service providing server 200, and the second according to the embodiment shown in FIGS. 1 to 5 . Steps that are time-series processed by the electronic device 200 are included. Accordingly, even if omitted below, the contents described with respect to the first electronic device 100 , the service providing server 200 , and the second electronic device 200 of FIGS. 1 to 5 are the embodiment shown in FIG. 7 . It can also be applied to a method of providing a user-participating AI training service according to

In operation S702 , the first electronic device 100 may receive a user input for inviting the user of the second electronic device 300 from the user.

In operation S704 , the first electronic device 100 may request the service providing server 200 to invite the user of the second electronic device 300 based on the user input received in operation S702 .

In operation S706 , the service providing server 200 may group and manage accounts of users of the first electronic device 100 and users of the second electronic device 300 based on the request received in operation S704 .

In operation S708 , the service providing server 200 may notify the second electronic device 300 that the user account of the second electronic device 300 is invited. According to various embodiments of the present disclosure, operation S708 may be performed by inviting the user account of the second electronic device 300 to a chat room created by the user account of the first electronic device 100 .

In operation S710 , the second electronic device 300 may receive a user input requesting AI training. The user input requesting the AI training may include input data and information about a behavior pattern.

In operation S712 , the second electronic device 300 may request the AI training from the service providing server 200 as inputted based on the user input received in operation S710 .

In operation S714, the service providing server 200 may perform AI training based on the request received in operation S712.

In operation S716, the service providing server 200 may notify the first electronic device 100 and the second electronic device 300 that the AI training performed in operation S714 is completed. According to various embodiments of the present disclosure, the service providing server 200 performs AI training performed in operation S714 in a chat room in which the user account of the first electronic device 100 and the user account of the second electronic device 300 are coexisted. It can also notify you that it has been completed.

The order of operations S702 to S716 described above in FIG. 7 is merely an example and is not limited thereto. That is, the order between the above-described steps may be mutually changed, some of these steps may be executed at the same time, or some steps may be omitted. In addition, the above-described steps may be periodically repeated every preset time, and may be performed again based on a user input.

An embodiment of the present invention may also be implemented in the form of a recording medium including instructions executable by a computer, such as a program module executed by a computer. Computer-readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, computer-readable media may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism, and includes any information delivery media.

The description of the present invention described above is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. .

100: first electronic device
200: service providing server
300: second electronic device
400: content server
500: external device
600: service providing server

Claims (20)

In the electronic device for providing a user-participating AI (Artificial Intelligence) training service,
A plurality of initial setting user inputs that are provided to an initial setting performed in advance before the AI training is performed as an operation distinct from the AI training for AI training from a user using the service, an AI training user requesting the AI training a user input receiving unit for receiving a user input requesting input and AI training algorithm information;
a processor for providing an initial setting UI (User Interface) screen provided to the initial setting user input and an AI training UI screen provided to the AI training user input through a display device; and
Transmitting data corresponding to the initial setting user input, the AI training user input, and the user input requesting the AI training algorithm information to a service providing server, initial setting data generated based on the transmitted data, AI training A communication unit for receiving data and AI training algorithm information generated as a result of the AI training from the service providing server,
The initial setting user input includes a user input for selecting an object to be subjected to the AI training, a user input for selecting one of a plurality of AI algorithms, a user input for setting a format of input data for the AI training, and the selected A user input for setting a plurality of behavior patterns for the object to be used for the AI training from a list of a plurality of preset behavior patterns for the object,
The plurality of AI algorithms include a perceptron, a neural network, SVM, and deep learning,
The AI training user input is selected by matching one of the plurality of set behavior patterns with the input data input by the user using one of the set input data formats as a reference format,
The received AI training algorithm information is exclusive and exclusive information about the user's account described based on the selected AI algorithm, and is generated by the service providing server when the number of times the AI training is performed is greater than or equal to a preset number of times, , programming coding data, the training state of the object generated as a result of the AI training, the number of times the AI training has been performed, and copyright for the AI training algorithm information, the electronic device.
delete delete According to claim 1,
The AI training algorithm information is transmitted to an external device so that the external device operates based on the AI training algorithm information, the electronic device.
According to claim 1,
The format of the input data for the AI training includes text information, voice information, and image information,
The amount of data of input data included in the AI training user input is limited within a preset range, the electronic device.
According to claim 1,
The user input receiving unit receives a user invitation input for engaging other users in the AI training,
The communication unit transmits the user invitation input to the electronic device of the other user directly or through the service providing server,
The electronic device of claim 1, wherein the other user performs the AI training using the electronic device of the other user.
7. The method of claim 6,
The AI training algorithm information corresponds to the AI training results performed by the user and the other users,
wherein the received AI training algorithm information is exclusive and exclusive information about the account of the user and the other user.
According to claim 1,
The user input receiving unit further receives an initial setting user input for inputting a parameter value and a structure provided based on the selected AI algorithm,
The electronic device, wherein the parameter value includes a layer of the AI algorithm, a node of each layer, a function, and the number of iterations.
According to claim 1,
The plurality of behavior patterns include a preset behavior pattern and/or a behavior pattern input by the user in addition to the preset behavior pattern,
The electronic device, wherein the preset behavior pattern includes a behavior pattern input by another user for use.
According to claim 1,
The processor is to reduce the amount of data by preprocessing the input data input through the AI training UI screen, the electronic device.
According to claim 1,
The AI training algorithm information generated as a result of the AI training is shared with other users using the service.
In the service providing server that provides user participatory AI (Artificial Intelligence) training service,
Communication unit for receiving a request for initial setting, the AI training, and AI training algorithm information performed in advance before the AI training is performed as an operation distinct from the AI training for AI training from an electronic device of a user using the service ; and
Perform the initial setting for the AI training and the AI training based on the received each request, and generate the AI training algorithm information as a result of the AI training, and the performed initial setting and the performed AI training A processor for transmitting initial setting data and AI training data corresponding to each, and the generated AI training algorithm information to the electronic device through the communication unit,
The received initial setting request includes an object to be subjected to the AI training, an AI algorithm selected from a plurality of AI algorithms, a format of input data for the AI training, and a plurality of preset behavior patterns for the selected object. including a plurality of behavior patterns for the object to be used for AI training from a list,
The plurality of AI algorithms include a perceptron, a neural network, SVM, and deep learning,
The received AI training request is selected by matching one of the plurality of behavior patterns with the input data input by the user based on the format of the input data,
The generated AI training algorithm information is exclusive and exclusive information about the user's account described based on the selected AI algorithm, and is generated when the number of times the AI training is performed is greater than or equal to a preset number of times, programming coding data; The service providing server, including the copyright for the training state (state) of the object generated as a result of the AI training, the number of times the AI training has been performed, and the AI training algorithm information.
delete delete 13. The method of claim 12,
The communication unit receives a user invitation input for participating in the AI training by another user from the electronic device,
The processor is to set the relationship between the user and the other user as a relationship for performing the AI training together on the object, the service providing server.
In a system that provides a user-participating AI (Artificial Intelligence) training service,
An operation distinct from the AI training for providing an initial setting UI (User Interface) and AI training UI screen through a display device, and for AI training from a user who uses the service through the provided initial setting UI and AI training UI screen A first electronic device for receiving a plurality of initial setting user inputs provided for initial setting performed in advance before the AI training is performed, an AI training user input requesting AI training, and a user input requesting AI training algorithm information as ; and
Receiving the request for the initial setting, the AI training, and the AI training algorithm information from the first electronic device, and performing the initial setting for the AI training and the AI training based on each of the received requests, Generate the AI training algorithm information as a result of the AI training, and compare the initial setting data and AI training data corresponding to each of the performed initial setting and the performed AI training, and the generated AI training algorithm information to the first A service providing server that transmits to the electronic device,
The initial setting user input includes a user input for selecting an object to be subjected to the AI training, a user input for selecting one of a plurality of AI algorithms, a user input for setting a format of input data for the AI training, and the selected A user input for setting a plurality of behavior patterns for the object to be used for the AI training from a list of a plurality of preset behavior patterns for the object,
The plurality of AI algorithms include a perceptron, a neural network, SVM, and deep learning,
The AI training user input is selected by matching one of the set plurality of behavior patterns with the input data input by the user based on the set input data format,
The received AI training algorithm information is exclusive and exclusive information about the user's account described based on the selected AI algorithm, and is generated when the number of times the AI training is performed is greater than or equal to a preset number of times, programming coding data; The system, including the copyright to the training state (state) of the object generated as a result of the AI training, the number of times the AI training was performed, and the AI training algorithm information.
delete delete 17. The method of claim 16,
The system further includes a second electronic device as an electronic device of another user who uses the service,
The first electronic device receives a user invitation input for inviting the other user to participate in the AI training from the user and transmits it to the service providing server;
The service providing server will set the relationship between the user and the other user as a relationship for performing the AI training together on the object, the system.
20. The method of claim 19,
The service providing server receives the request for AI training from the first electronic device or the second electronic device, performs the AI training based on the received request, and performs AI training corresponding to the performed AI training generating data, and transmitting the generated AI training data to the first electronic device and the second electronic device.

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