KR20230120899A - Method and system for providing live commerce through ai human model - Google Patents

Abstract

A method for providing live commerce through an AI human model according to an embodiment of the present invention is a method in which at least one processor of a live commerce providing server provides live commerce through an AI human model, on a live commerce platform Registering an AI human model; Determining an AI human model for live commerce to be used for live commerce based on the registered AI human model; Generating a live commerce broadcast video based on the determined AI human model for live commerce and the real-time streaming video; and providing the generated live commerce broadcast video to an external terminal.

Description

Method and system for providing live commerce through AI human model {METHOD AND SYSTEM FOR PROVIDING LIVE COMMERCE THROUGH AI HUMAN MODEL}

The present invention relates to a method and system for providing live commerce through an AI human model. More specifically, it relates to a method and system for providing live commerce through an AI human model that performs a real-time broadcast based on an AI human model and a real-time streaming video and provides an online shopping service based on the broadcast.

Online e-commerce has been growing rapidly with the development of the Internet.

In addition, with the rapid development of mobile Internet and smartphone technology, the e-commerce market is rapidly being reorganized into a mobile environment, and recently, live commerce type online e-commerce is attracting attention.

Here, live commerce refers to an E-commerce form that introduces and sells products to viewers through real-time video streaming. Live, which means real-time, plus e-commerce, can be defined as a combination of online shopping and broadcasting.

Through live commerce, consumers get information about products while watching Internet broadcasts, and hosts and viewers exchange opinions with each other. And you can pay for the goods right on the broadcasting page.

In other words, live commerce is the conversion of home shopping channels to online. However, there is a difference from the home shopping channel. The biggest difference is orientation. In the home shopping channel, the delivery of information is one-way. Of course, some home shopping channels collect and respond to viewers' opinions through text messages and the like. However, live commerce is much more active and dynamic in information exchange than home shopping channels.

For example, a live commerce that sells laptops runs a game where everyone is watching according to the viewer's request. In addition, the weight of the product is put on a scale and measured immediately. Sometimes, when a streamer gives false information, the mistake is immediately corrected by the viewers.

Another difference of live commerce is that the composition of broadcasting content is more flexible than that of home shopping channels. The Home Shopping Channel has shows hosted by several well-known show hosts. On the other hand, in live commerce, broadcasting is freely decorated according to what sellers want.

In addition, while home shopping channels are subject to legal regulations due to the nature of broadcasting, live commerce is relatively free from legal regulations like other online services.

Therefore, live commerce is more fun and interesting than home shopping channels. Various experts from all walks of life, such as brand officials and influencers, are not professional broadcasters, and their comments are free and high-level.

However, such live commerce has a limitation in that it is difficult for general users who are not familiar with Internet broadcasting technology or culture to build and proceed with a real-time streaming environment on their own.

For example, merchants in traditional markets who are experiencing a downturn due to the recent rapid growth of the e-commerce market may want to challenge live commerce according to the latest trends to overcome this, but if the related knowledge or skills for this are insufficient, the sales There is a problem that you can't even access the method.

On the other hand, recently, due to various social factors, such as the development of science and technology such as deep-learning, digital visualization technology, and language processing, the importance of the inherent ripple effect of a specific human being has been highlighted. Digital Human) technology is newly emerging.

Here, digital humans refer to artificial intelligence (AI), a technology that realizes the ability to think and learn like humans through computer programs, and computer vision, an artificial intelligence research field that reproduces human visual recognition abilities using computers. Computer Vision), natural language processing, which is a technology that recognizes and processes languages commonly used by humans, such as information search, question and answer, automatic translation, and interpretation, and voice technology, etc. do.

That is, the digital human is a virtual human created by combining an artificial intelligence (AI) chatbot and computer graphic technology, and may mean a virtual human capable of lively interactions like a real person.

Such a digital human is a digital technology that analyzes the appearance, body structure, and movement of a specific person as data based on the above-mentioned technologies, and reproduces the movement as if the corresponding person actually exists in a predetermined virtual space based on this. can be created based on

KR 10-1985640 B1

An object of the present invention is to implement a method and system for providing live commerce through an AI human model that performs real-time broadcasting based on an AI human model and real-time streaming video and provides an online shopping service based on the broadcasting.

In particular, the present invention intends to implement a method and system for providing live commerce through an AI human model that provides a platform for relaying matching between a product seller hosting real-time broadcasting and an AI human model.

However, the technical problems to be achieved by the present invention and the embodiments of the present invention are not limited to the technical problems described above, and other technical problems may exist.

A method for providing live commerce through an AI human model according to an embodiment of the present invention is a method in which at least one processor of a live commerce providing server provides live commerce through an AI human model, on a live commerce platform Registering an AI human model; Determining an AI human model for live commerce to be used for live commerce based on the registered AI human model; Generating a live commerce broadcast video based on the determined AI human model for live commerce and the real-time streaming video; and providing the generated live commerce broadcast video to an external terminal.

At this time, the step of registering the AI human model on the live commerce platform includes the step of acquiring photographic data and voice data for the model user, and the AI human model according to live-action modeling based on the acquired photographic data and voice data. It includes the step of generating.

In addition, the step of registering the AI human model on the live commerce platform includes a usage fee self-setting method for setting an AI human model usage fee according to the model user's input, and a usage fee between a user using the AI human model and the model user. The method further includes setting a usage fee calculation method for the AI human model in one of the usage fee negotiation setting methods for setting the AI human model usage fee based on the consultation process.

In addition, the step of determining the AI human model for live commerce includes providing an AI human model list based on at least one AI human model registered in the live commerce platform.

In addition, the step of determining the AI human model for live commerce includes obtaining a user input for setting an AI human model usage fee condition, and detecting at least one AI human model that satisfies the obtained AI human model usage fee condition. and providing an AI human model list based on the at least one detected AI human model.

In addition, the step of determining the AI human model for live commerce may include obtaining a user input for selecting any one AI human model in the provided AI human model list, and the method of calculating the usage fee for the selected AI human model. Further comprising setting a usage fee of the selected AI human model based on , and determining an AI human model for live commerce based on the AI human model for which the usage fee is set.

In addition, the step of generating the live commerce broadcast video includes determining the real-time shape and audio information of the AI human model for live commerce.

In addition, the step of determining the real-time shape and audio information of the AI human model for live commerce includes generating a script for live commerce that determines the shape change and audio output of the AI human model for live commerce, and the generated and determining the real-time shape and audio information of the AI human model for live commerce based on the script for live commerce.

In addition, the step of generating the live commerce broadcast video includes obtaining the real-time streaming video based on a user input using the AI human model for live commerce, the determined real-time shape and The step of augmenting and displaying the AI human model for live commerce according to the audio information is further included.

On the other hand, the system for providing live commerce through an AI human model according to an embodiment of the present invention includes at least one memory in which an AI live commerce application is stored; And at least one processor that reads the AI live commerce application stored in the memory and performs a method of providing live commerce through the AI human model; commands of the AI live commerce application are on the live commerce platform registering an AI human model, determining an AI human model for live commerce to be used for live commerce based on the registered AI human model, and based on the determined AI human model for live commerce and real-time streaming video It includes instructions for performing steps of generating a live commerce broadcast video and providing the generated live commerce broadcast video to an external terminal.

A method and system for providing live commerce through an AI human model according to an embodiment of the present invention performs a real-time broadcast based on an AI human model and a real-time streaming video and provides an online shopping service based on the broadcast, thereby providing necessary manpower or equipment. There is an effect of providing an E-commerce platform implemented on an efficiently built Live commerce environment by minimizing costs, etc.

In addition, the method and system for providing live commerce through an AI human model according to an embodiment of the present invention can improve the usability of live commerce by supporting the easy construction of an environment for live commerce, and the effort required for this can be improved. There is an effect that can significantly reduce the cost or the like.

In addition, the method and system for providing live commerce through an AI human model according to an embodiment of the present invention relays matching between a product seller hosting real-time broadcasting and an AI human model, thereby improving accessibility and utilization of the AI human model market. At the same time, it has the effect of enabling live commerce built to perfection with little effort without hiring additional personnel.

In addition, the method and system for providing live commerce through an AI human model according to an embodiment of the present invention uses the AI human model selected by the seller as a showhost without the seller directly conducting live commerce. By enabling commerce to proceed, there is an effect of protecting the privacy of the individual seller and at the same time providing the inherent ripple effect by the person in which the corresponding AI human model appears.

However, the effects obtainable in the present invention are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood from the description below.

1 is a conceptual diagram of a live commerce providing system through an AI human model according to an embodiment of the present invention.
2 is an internal block diagram of a terminal according to an embodiment of the present invention.
3 is an internal block diagram of a live commerce providing server according to an embodiment of the present invention.
4 is a flowchart for explaining a method for providing live commerce through an AI human model according to an embodiment of the present invention.
5 is an example of a diagram for explaining a method of determining an AI human model to be used for live commerce based on an AI human model list according to an embodiment of the present invention.
6 is an example of a diagram for explaining a live commerce broadcast video according to an embodiment of the present invention.
7 is an example of a diagram for explaining a method of providing an online shopping service based on a live commerce broadcast video according to an embodiment of the present invention.

Since the present invention can apply various transformations and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. Effects and features of the present invention, and methods for achieving them will become clear with reference to the embodiments described later in detail together with the drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various forms. In the following embodiments, terms such as first and second are used for the purpose of distinguishing one component from another component without limiting meaning. Also, expressions in the singular number include plural expressions unless the context clearly dictates otherwise. In addition, terms such as include or have mean that features or elements described in the specification exist, and do not preclude the possibility that one or more other features or elements may be added. In addition, in the drawings, the size of components may be exaggerated or reduced for convenience of description. For example, since the size and thickness of each component shown in the drawings are arbitrarily shown for convenience of description, the present invention is not necessarily limited to the illustrated bar.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, and when describing with reference to the drawings, the same or corresponding components are assigned the same reference numerals, and overlapping descriptions thereof will be omitted. .

1 is a conceptual diagram of a live commerce providing system through an AI human model according to an embodiment of the present invention.

Referring to FIG. 1, a live commerce providing system (1000: hereinafter, a live commerce providing system) through an AI human model according to an embodiment of the present invention performs real-time broadcasting based on an AI human model and real-time streaming video, and the broadcasting It is possible to implement an AI human model-based live commerce service that provides an online shopping service based on

In the embodiment, the live commerce providing system 1000 providing the above AI human model based live commerce providing service may include a plurality of terminals 100, a live commerce providing server 200 and a network 300: Network. can

At this time, the terminal 100 and the live commerce providing server 200 may be connected through the network 300 .

Here, the network 300 according to the embodiment refers to a connection structure capable of exchanging information between nodes such as the terminal 100 and/or the live commerce providing server 200, and such a network 300 ) Examples of 3GPP (3rd Generation Partnership Project) network, LTE (Long Term Evolution) network, WIMAX (World Interoperability for Microwave Access) network, Internet (Internet), LAN (Local Area Network), Wireless LAN (Wireless Local Area Network) ), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth (Bluetooth) network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc. are included, but are not limited thereto.

Hereinafter, the terminal 100 and the live commerce providing server 200 implementing the live commerce providing system 1000 will be described in detail with reference to the accompanying drawings.

- Terminal (100: Terminal)

The terminal 100 according to an embodiment of the present invention may be a predetermined computing device in which an AI live commerce application providing a live commerce service based on the AI human model is installed.

Here, the AI live commerce application according to the embodiment can be divided into an AI live commerce application for model users, an AI live commerce application for sellers, and an AI live commerce application for buyers.

In this case, the AI live commerce application for model users, the AI live commerce application for sellers, and the AI live commerce application for buyers may be for performing different functional operations by distinguishing a single application or a user.

That is, the AI live commerce application for the model user, the AI live commerce application for the seller, and the AI live commerce application for the buyer have different permissions depending on the account of a single application or user (in the embodiment, the model user, seller, or buyer). It may be for distinguishing points that are given and functionally operated.

Returning again, in the embodiment, the terminal 100 with the above AI live commerce application installed is the model terminal 100-1 used by the model user serving as the target of AI human model production, and live commerce It may include a seller terminal 100-2 used by a seller who hosts and sells a product, and a buyer terminal 100-3 used by a buyer who purchases a product through the live commerce.

In an embodiment, the above-described AI live commerce application for model users may be installed in the model terminal 100-1, and the above-described AI live commerce application for sellers may be installed in the seller terminal 100-2. In addition, the purchaser terminal 100-3 may have the above-described AI live commerce application for purchasers installed.

Here, the model terminal 100-1, the seller terminal 100-2, and the purchaser terminal 100-3 are for distinguishing the subject of use in the embodiment, and their components or functional operations may be the same.

In detail, from a hardware point of view, the terminal 100 may include a mobile type computing device and/or a desktop type computing device in which an AI live commerce application is installed.

Here, the mobile type computing device may be a mobile device such as a smart phone or a tablet PC on which an AI live commerce application is installed.

For example, mobile type computing devices may include smart phones, mobile phones, digital broadcasting devices, personal digital assistants (PDAs), portable multimedia players (PMPs), tablet PCs, and the like.

In addition, desktop-type computing devices provide AI human model-based live commerce based on wired/wireless communication, such as fixed desktop PCs, laptop computers, and personal computers such as ultrabooks with AI live commerce applications installed It may include a device in which a program for executing a service is installed.

In addition, according to the embodiment, the terminal 100 may further include a predetermined server computing device that provides an AI human model-based live commerce providing service environment.

2 is an internal block diagram of a terminal 100 according to an embodiment of the present invention.

Meanwhile, referring to FIG. 2 , from a functional point of view, the terminal 100 includes a memory 110, a processor assembly 120, a communication processor 130, an interface unit 140, an input system 150, and a sensor system 160. ) and a display system 170 . These components may be configured to be included in the housing of the terminal 100 .

In detail, the AI live commerce application 111 is stored in the memory 110 , and the AI live commerce application 111 is any of various applications, data, and commands for providing an AI human model-based live commerce providing service environment. More than one can be stored.

That is, the memory 110 may store commands and data that may be used to create an AI human model-based live commerce service environment.

Also, the memory 110 may include a program area and a data area.

Here, the program area according to the embodiment may be linked between an operating system (OS) that boots the terminal 100 and functional elements, and the data area may be data generated according to the use of the terminal 100. can be stored.

In addition, the memory 110 may include at least one or more non-transitory computer-readable storage media and temporary computer-readable storage media.

For example, the memory 110 may be various storage devices such as ROM, EPROM, flash drive, hard drive, etc., and web storage that performs the storage function of the memory 110 on the Internet can include

The processor assembly 120 includes at least one processor capable of executing commands of the AI live commerce application 111 stored in the memory 110 in order to perform various tasks for creating an AI human model-based live commerce provided service environment. can include

In an embodiment, the processor assembly 120 may control the overall operation of components through the AI live commerce application 111 of the memory 110 in order to provide an AI human model-based live commerce service.

The processor assembly 120 may be a system on chip (SOC) suitable for the terminal 100 including a central processing unit (CPU) and/or a graphics processing unit (GPU), and an operating system stored in the memory 110. (OS) and/or application programs may be executed, and components mounted on the terminal 100 may be controlled.

In addition, the processor assembly 120 may communicate internally with each component through a system bus, and may include one or more predetermined bus structures including a local bus.

In addition, the processor assembly 120 includes application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), and controllers. ), micro-controllers, microprocessors, and electrical units for performing other functions.

The communication processor 130 may include one or more devices for communicating with external devices. Such a communication processor 130 may communicate through a wireless network.

In detail, the communication processor 130 may communicate with the terminal 100 storing a content source for implementing an AI human model-based live commerce providing service environment, and communicate with various user input components such as a controller that receives user input. can do.

In an embodiment, the communication processor 130 may transmit and receive various data related to the AI human model-based live commerce service provided to the other terminal 100 and/or an external server.

This communication processor 130, technical standards or communication schemes for mobile communication (eg, LTE (Long Term Evolution), LTE-A (Long Term Evolution-Advanced), 5G NR (New Radio), WIFI) Alternatively, data may be transmitted and received wirelessly with at least one of a base station, an external terminal 100, and an arbitrary server on a mobile communication network constructed through a communication device capable of performing a short-distance communication method.

The sensor system 160 may include various sensors such as an image sensor 161, a position sensor (IMU) 163, an audio sensor 165, a distance sensor, a proximity sensor, and a contact sensor.

Here, the image sensor 161 may capture an image and/or video of a physical space around the terminal 100 .

In an embodiment, the image sensor 161 may capture and obtain an image (eg, a real-time streaming image, etc.) related to an AI human model-based live commerce service.

In addition, the image sensor 161 may be disposed on the front or/or rear side of the terminal 100 to acquire an image by photographing the direction side of the terminal 100, and may acquire a physical image through a camera disposed toward the outside of the terminal 100. space can be photographed.

The image sensor 161 may include an image sensor device and an image processing module. In detail, the image sensor 161 may process still images or moving images obtained by an image sensor device (eg, CMOS or CCD).

In addition, the image sensor 161 may extract necessary information by processing a still image or moving image obtained through an image sensor device using an image processing module, and transmit the extracted information to a processor.

The image sensor 161 may be a camera assembly including one or more cameras.

In this case, the camera assembly may include a general camera that captures a visible light band, and may further include a special camera such as an infrared camera and a stereo camera.

In addition, the image sensor 161 as described above may be included in the terminal 100 and operated according to embodiments, or may be included in an external device (eg, an external server, etc.) to include the above-described communication processor 130 and/or Alternatively, it may operate through interworking based on the interface unit 140 .

The position sensor (IMU) 163 may detect at least one of motion and acceleration of the terminal 100 . For example, it may be made of a combination of various position sensors such as an accelerometer, a gyroscope, and a magnetometer.

In addition, the location sensor (IMU) 163 may recognize spatial information about a physical space around the terminal 100 by interworking with the location communication processor 130 such as a GPS of the communication processor 130 .

The audio sensor 165 may recognize sounds around the terminal 100 .

In detail, the audio sensor 165 may include a microphone capable of detecting a user's voice input using the terminal 100 .

As an example, the audio sensor 165 may receive voice data necessary for an AI human model-based live commerce providing service from a user.

The interface unit 140 may communicatively connect the terminal 100 with one or more other devices.

In detail, the interface unit 140 may include wired and/or wireless communication devices compatible with one or more different communication protocols.

Through this interface unit 140, the terminal 100 may be connected to various input/output devices.

For example, the interface unit 140 may output audio by being connected to an audio output device such as a headset port or a speaker.

Although it has been described that the audio output device is exemplarily connected through the interface unit 140, an embodiment installed inside the terminal 100 may also be included.

Also, for example, the interface unit 140 may obtain a user input by being connected to an input device such as a keyboard and/or a mouse.

Although it has been described that the keyboard and/or mouse are exemplarily connected through the interface unit 140, an embodiment installed inside the terminal 100 may also be included.

The interface unit 140 connects a device equipped with a wired/wireless headset port, an external charger port, a wired/wireless data port, a memory card port, and an identification module. Ports, audio I/O (Input/Output) ports, video I/O (Input/Output) ports, earphone ports, power amplifiers, RF circuits, transceivers and other communication circuits It may be configured to include at least one of.

The input system 150 may detect a user's input (eg, gesture, voice command, button operation, or other type of input) related to the AI human model-based live commerce provided service.

In detail, the input system 150 may include a predetermined button, a touch sensor, and/or an image sensor 161 that receives a user motion input.

Also, the input system 150 may be connected to an external controller through the interface unit 140 to receive a user's input.

The display system 170 may output various information related to the AI human model-based live commerce providing service as a graphic image.

As an example, the display system 170 may display an AI human model list, a live commerce broadcast video, and/or various user interfaces.

Such displays include a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), and a flexible display. , a 3D display, and an e-ink display.

Here, the components may be disposed in the housing of the terminal 100, and the user interface may include a touch sensor 173 on the display 171 configured to receive a user touch input.

In detail, the display system 170 may include a display 171 that outputs an image and a touch sensor 173 that detects a user's touch input.

For example, the display 171 may be implemented as a touch screen by forming a mutual layer structure or integrally with the touch sensor 173 .

Such a touch screen may function as a user input unit providing an input interface between the terminal 100 and the user, and may provide an output interface between the terminal 100 and the user.

Also, depending on the embodiment, the terminal 100 may further perform at least some of the functional operations performed by the live commerce providing server 200 described later.

- Live commerce server (200: Live commerce server)

Meanwhile, the live commerce providing server 200 according to an embodiment of the present invention may perform a series of processes for providing live commerce providing services based on AI human models.

In detail, in the embodiment, the live commerce providing server 200 provides live commerce based on the AI human model in an external device such as the terminal 100. The AI human model-based live commerce providing service can be implemented by exchanging data necessary for running the process with the external device.

In more detail, in the embodiment, the live commerce providing server 200 is an AI human model based live commerce providing service that can be implemented in an external device (in the embodiment, a mobile type computing device and/or a desktop type computing device, etc.) environment can be provided.

To this end, the live commerce providing server 200 may include various applications, data, and/or commands for implementing AI human model-based live commerce providing services, and transmits and receives data based thereon with the external device. can do.

As an embodiment, the live commerce providing server 200 stores at least one AI human model, product sales information, live commerce script, real-time streaming video, product information window, live commerce broadcasting video, and/or various user interfaces, and the like. can manage

3 is an internal block diagram of a live commerce providing server 200 according to an embodiment of the present invention.

Referring to FIG. 3, the above live commerce providing server 200 includes an online shopping providing server 210, a live commerce execution server 220, a seller-AI human model relay server 230, and an AI human model registration server ( 240) may be included.

Here, the online shopping providing server 210 according to the embodiment may provide an online shopping service supporting electronic commerce in which products can be ordered and sold online through the network 300. .

In an embodiment, the online shopping providing server 210 may provide an online sales process for a predetermined product in conjunction with the seller terminal 100-2 on a live commerce platform, and the buyer terminal 100 In conjunction with -3), an online purchase process for a predetermined product can be provided.

In addition, the live commerce execution server 220 according to the embodiment may provide a live commerce service that implements a non-face-to-face shopping platform capable of ordering and selling products through a real-time online video channel. .

In addition, the seller-AI human model relay server 230 according to the embodiment detects and matches an AI human model customized for seller needs from among a plurality of AI human models registered on the live commerce platform, and It is possible to provide an AI human model relay service that relays the connection between the seller and the AI human model, such as supporting fee settlement according to the use of the AI human model.

In addition, the AI human model registration server 240 according to the embodiment supports a process for registering an AI human model on the live commerce platform, and at least one AI human model registered on the live commerce platform It can provide AI human model registration service that stores and manages database.

In detail, in the embodiment, the AI human model registration server 240 may include a registration progress server 241, an AI human model learning server 242, and an AI human model database 243.

In more detail, the registration progress server 241 according to the embodiment guides the procedure for registering an AI human model on the live commerce platform, registers a predetermined AI human model on the live commerce platform, It can support various functional operations required to register AI human models on the live commerce platform.

In addition, the AI human model learning server 242 according to the embodiment may obtain an AI human model required for an AI human model-based live commerce providing service.

In detail, the AI human model learning server 242 is an external AI human model providing server that implements its own AI human model learning and generating process and/or AI human model learning and generating process (e.g., Deep Brain AI server). etc.), it is possible to obtain an AI human model necessary for the above-described AI human model-based live commerce providing service.

In the following embodiment, it is explained that the AI human model learning server 242 acquires the AI human model by interworking with an external AI human model providing server, but is not limited thereto.

Specifically, in the embodiment, the AI human model learning server 242 communicates with the external AI human model providing server, photographs at least one model user, performs live-action modeling, and at least one model user speaks. One voice data and photographic data are mapped and stored with text data in which the corresponding voice data is converted into text, and database is formed by applying the voice data, photographic data, and/or text data to the live-action modeling data on which the live-action modeling has been performed. By doing so, the AI human model can be obtained.

In addition, the AI human model database 243 according to the embodiment may store and manage AI human models acquired based on the AI human model learning server 242 .

That is, the live commerce providing server 200 according to the embodiment provides the AI human model based on the online shopping service, love commerce service, AI human model relay service, and AI human model registration service based on the above-described components. A model-based live commerce provision service can be implemented.

On the other hand, further referring to FIG. 1, in the embodiment, the live commerce providing server 200 as described above includes at least one processor module (260: Processor Module) for data processing and at least one processor module for exchanging data with an external device. One or more communication modules (270: Communication Module) and at least one memory module (280: Memory Module) for storing various application programs, data and / or commands for implementing AI human model-based live commerce providing services. It can be implemented in any computing device.

Here, the memory module 280 may store any one or more of an operating system (OS), various application programs, data, and commands for providing an AI human model-based live commerce service.

Also, the memory module 280 may include a program area and a data area.

Here, the program area according to the embodiment may be linked between an Operating System (OS) and functional elements for booting the server, and the data area may store data generated according to the use of the server.

In an embodiment, the memory module 280 may be a variety of storage devices such as ROM, RAM, EPROM, flash drive, hard drive, etc., and a web device that performs the storage function of the memory module 280 on the Internet. It may also be web storage.

Also, the memory module 280 may be a recording medium detachable from the server.

Meanwhile, the processor module 260 may control the overall operation of each unit described above in order to implement an AI human model-based live commerce service.

The processor module 260 may be a system on chip (SOC) suitable for a server including a central processing unit (CPU) and/or a graphics processing unit (GPU), and the like, and an operating system (OS) stored in the memory module 280. ) and/or application programs, etc., and can control each component mounted on the server.

In addition, the processor module 260 may communicate internally with each component through a system bus, and may include one or more predetermined bus structures including a local bus.

In addition, the processor module 260 includes application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), and controllers. ), micro-controllers, microprocessors, and electrical units for performing other functions.

In the above description, it has been described that the live commerce providing server 200 according to the embodiment of the present invention performs the functional operations as described above, but at least some of the functional operations performed by the live commerce providing server 200 according to the embodiment may be performed in an external device (eg, terminal 100, etc.), and at least some of the functional operations performed in the external device may be further performed in the live commerce providing server 200. It could be possible.

- How to provide live commerce through AI human model

Hereinafter, reference is made to FIGS. 4 to 7 attached to a method of providing live commerce based on an AI human model by at least one processor module (hereinafter referred to as a processor) of the live commerce providing server 200 according to an embodiment of the present invention. to explain in detail.

4 is a flowchart for explaining a method for providing live commerce through an AI human model according to an embodiment of the present invention.

Referring to FIG. 4 , in an embodiment of the present invention, the processor of the live commerce providing server 200 may register an AI human model on the live commerce platform. (S101)

Here, the live commerce platform according to the embodiment is an online platform that implements a live commerce service based on an AI human model that performs real-time broadcasting based on an AI human model and real-time streaming video and provides an online shopping service based on the broadcasting. can mean

In addition, the AI human model according to the embodiment is a virtual human implemented based on artificial intelligence (AI), computer vision, natural language processing, and voice technology, It may mean a virtual human capable of lively interaction like a human.

That is, the AI human model analyzes the appearance, body structure, and movement of a specific person as data based on the above-described technologies, and reproduces the movement as if the corresponding person actually exists in a predetermined virtual space based on this. It may be a virtual human being created using digital technology.

In detail, in the embodiment, the processor may register a predetermined AI human model on the live commerce platform in conjunction with the model terminal 100-1 and/or an external AI human model providing server.

In more detail, in the embodiment, the processor may receive model registration request information for registering an AI human model in which the corresponding model user is implemented as a virtual human from the model terminal 100-1 on the live commerce platform.

In addition, in the embodiment, the processor may provide model registration procedure information for guiding a procedure for registering an AI human model on the live commerce platform to the model terminal 100-1 that has received the model registration request information. .

As an embodiment, the model registration procedure information may include available location, available date, and/or available time information for collecting video data and/or voice recording data for model users to be used for AI human model learning. there is.

Thereafter, the model user who has been provided with the model registration procedure information, captures the model user at a location (eg, a predetermined studio), date, and time determined based on the model registration procedure information, and/or A procedure of collecting voice recording data obtained by recording the voice of the corresponding model user may be performed.

At this time, the collected image data and/or voice recording data may be stored and managed on the internal memory module 280 and/or on an external AI human model providing server.

In addition, in an embodiment, the processor may obtain an AI human model according to the captured image data and/or voice recording data of the model user in conjunction with the above-described external AI human model providing server.

At this time, the AI human model providing server photographs at least one model user to perform real-life modeling, and maps voice data and photographic data uttered by at least one model user to text data in which the corresponding voice data is converted into text. and stored, and the voice data, photographing data, and/or text data may be applied to the live-action modeling data on which the live-action modeling has been performed to form a database.

That is, the AI human model providing server may execute the process as described above to generate an AI human model for the model user, convert it into a database, and store it.

In addition, the AI human model providing server may transmit the generated AI human model to an external device (in the embodiment, the live commerce providing server 200, etc.).

Thus, the processor may receive and obtain an AI human model for the model user from the AI human model providing server.

Also, in an embodiment, the processor may store the acquired AI human model on the AI human model database 243 described above, and may register and manage it on the live commerce platform.

Accordingly, the processor may build a database supporting live commerce using the AI human model.

At this time, in the embodiment, the processor may set a usage fee calculation method for the AI human model registered on the live commerce platform according to the input of the model user based on the model terminal 100-1.

In detail, in the embodiment, the processor may set the usage fee calculation method for the AI human model of the model user according to the model user's input for selecting one of the usage fee self-setting method or the usage fee agreement setting method.

Here, the method of self-setting the usage fee according to the embodiment refers to the usage fee (eg, usage fee per hour, usage fee per usage count, and/or usage fee based on sales revenue) for the corresponding AI human model. -1) may mean a method of determining based on the user's input of the corresponding model.

On the other hand, the usage fee negotiation setting method according to the embodiment is a usage fee (eg, usage fee per hour, usage fee per usage frequency, and/or usage fee based on sales revenue) for the AI human model. It may refer to a method of determining according to consultation with a user (in the embodiment, a seller) to use.

In the embodiment, when a usage fee for an AI human model is determined by the usage fee negotiation setting method, the processor determines a usage fee negotiation process between the model user and the corresponding seller in the step of determining an AI human model for live commerce described later. can proceed. A detailed description of this will be described later in the step of determining the AI human model for the live commerce.

Also, in an embodiment, the processor may determine an AI human model to be used for live commerce. (S103)

Here, the live commerce according to the embodiment is a new e-commerce method in which a real-time streaming broadcasting and an e-commerce platform are combined, and is a non-face-to-face media that introduces and sells products to viewers through real-time video streaming can mean commerce. Such live commerce can be defined as a combination of online shopping and broadcasting as e-commerce is added to live, which means real time.

In detail, in the embodiment, the processor, as described above, among the plurality of AI human models registered on the live commerce platform, may determine an AI human model (hereinafter, an AI human model for live) to be used for live commerce that the seller intends to proceed with. .

5 is an example of a diagram for explaining a method of determining an AI human model to be used for live commerce based on an AI human model list according to an embodiment of the present invention.

In more detail, referring to FIG. 5, in the first embodiment, the processor interworks with the seller terminal 100-2 to display a plurality of AI human models registered on the live commerce platform in a list format. (AI Human model List, ML) can be provided.

In addition, in the embodiment, the processor may obtain a predetermined seller input based on the seller terminal 100-2 that provided the AI human model list (ML).

Specifically, in the embodiment, the processor may receive a seller input for selecting any one of a plurality of AI human models in the AI human model list (ML) from the seller terminal 100-2.

At this time, in the embodiment, if the AI human model selected by the seller input is an AI human model set in a user fee self-setting method, the processor transmits usage fee information preset for the selected AI human model to the seller terminal (100- 2) can be provided.

In addition, in the embodiment, the processor may obtain an input for accepting or rejecting the use of the AI human model according to the corresponding usage fee from the seller terminal 100-2 receiving the usage fee information.

In addition, when the acceptance input is obtained, the processor may determine the selected AI human model as an AI human model for live commerce that the seller intends to proceed with.

On the other hand, in the embodiment, if the AI human model selected by the seller input is an AI human model set in a usage fee negotiation setting method, the processor may proceed with a usage fee negotiation process for the corresponding AI human model.

In detail, in the embodiment, the processor may receive seller input for inputting use negotiation information from the seller terminal 100-2.

Here, the usage negotiation information according to the embodiment includes a suggested usage fee, which is a usage fee proposed by a seller for the selected AI human model, and the category, price, and price of a product to be sold through live commerce using the AI human model It may be information including product sales summary information including/or image information.

Also, in an embodiment, the processor may provide the received use negotiation information to the model terminal 100-1 matched to the selected AI human model.

In addition, in the embodiment, the processor may obtain any one of inputs for authorizing or rejecting the use of the AI human model according to the use negotiation information from the model terminal 100-1.

In addition, when an authorization input is obtained from the model terminal 100-1, the processor may determine the selected AI human model as an AI human model for live commerce that the seller intends to proceed with.

In the second embodiment, the processor may obtain a seller input for setting fee conditions for using the AI human model in conjunction with the seller terminal 100-2.

Here, the usage fee condition according to the embodiment may be a condition in which a range of usage fees allowed by the seller in using the AI human model is previously set.

For example, the usage fee condition may be a usage fee of 10,000 won or less per hour, a usage fee of 10,000 won or less per number of times of use, and/or a usage fee of 5% or less according to sales revenue.

In addition, in an embodiment, the processor may detect at least one AI human model that meets a usage fee condition set by the seller from among a plurality of AI human models registered on the live commerce platform.

In addition, in an embodiment, the processor may provide an AI human model list (ML) displaying the at least one detected AI human model in a list format to the seller terminal 100-2.

Also, in an embodiment, the processor may proceed with the process according to the first embodiment described above based on the provided AI human model list (ML).

Thus, the processor can determine the AI human model for live commerce that the seller intends to proceed with.

In this way, the processor pre-registers a plurality of AI human models on the live commerce platform, detects an AI human model suitable for the needs of the seller among them, and uses the AI human model (implementation In the example, by providing a relay service that matches AI human models for live), accessibility and utilization of the AI human model market are improved, and at the same time, live commerce built to perfection with little effort without hiring additional personnel is in progress. can support you as much as possible.

In addition, through this, the processor protects the privacy of the individual seller by enabling the seller to conduct live commerce using the AI human model selected by the seller as a showhost without the seller directly conducting live commerce. At the same time, the corresponding AI human model can provide an intrinsic ripple effect by the person appearing.

Also, in an embodiment, the processor may obtain product sales information to be sold through live commerce. (S105)

Here, the product sales information according to the embodiment may be information including a product category, price, image, inventory quantity, and/or description information for a product (hereinafter referred to as target product) to be sold through the live commerce there is.

In detail, in the embodiment, the processor may acquire product sales information on a target product that the corresponding seller intends to sell through live commerce in conjunction with the corresponding seller terminal 100 - 2 .

More specifically, in the embodiment, the processor may provide a sales information input interface through which product sales information may be input to the seller terminal 100-2.

Also, in an embodiment, the processor may receive the product sales information generated according to a seller input based on the sales information input interface from the seller terminal 100 - 2 .

Thus, the processor may obtain product sales information of a target product that the corresponding seller intends to sell through live commerce.

In this case, according to embodiments, the processor may obtain the product sales information based on the above-described product sales summary information.

Also, in an embodiment, the processor may generate and provide a live commerce broadcast video. (S107)

6 is an example of a diagram for explaining a live commerce broadcast video according to an embodiment of the present invention.

Referring to FIG. 6, the live commerce broadcast video (LV) according to the embodiment is a video that implements live commerce as described above by combining a real-time streaming video (RSV) and an AI human model (M) for live. can mean

In an embodiment, the live commerce broadcasting video (LV) may implement the live commerce based on a real-time streaming video (RSV) obtained from a seller, an AI human model (M) for live, and / or a product information window (PIW). there is.

In detail, in the embodiment, the processor may generate the live commerce broadcast video (LV) for live commerce conducted by a corresponding seller.

At this time, the processor may generate the live commerce broadcast video (LV) based on the determined AI human model (M) for live and the acquired product sales information.

In more detail, in the embodiment, the processor may 1) generate a script for live commerce.

Here, the script for live commerce according to the embodiment refers to the shape of the AI human model (M) for live (eg, gestures such as hand gestures, gestures and / or mouth gestures, etc.) and base data for determining audio information. can do.

In detail, in an embodiment, the processor may generate and store a plurality of standard script forms on the memory module 280 .

Here, the standard script format according to the embodiment is at least a part of the script for live commerce according to a predetermined criterion (eg, product category and/or broadcasting propensity (eg, aggressive or defensive purchase induction propensity, etc.)) It may mean a framework for a script for live commerce in which the rest of the text data except for is already created.

For example, in the standard script form, at least a part of the script is based on information on the target product (TP) (in the embodiment, product sales information), such as “Start a live commerce broadcast selling OOO.” It may be a pre-created standard script in a form that can be completed by doing so.

In addition, the processor may read any one of the plurality of standard script forms from the memory module 280 based on the product sales information described above.

For example, the processor may read a standard script format matching the product category of the product sales information from the memory module 280 .

In addition, the processor may generate the script for live commerce by applying at least some text data (ie, blank text data in the embodiment) in the read standard script form based on the product sales information.

For example, a processor could say that the standard script read above reads “Sell OOO for OOO price. In the case of including text data such as "The remaining quantity is OOO" and blank text data, the blank text data is supplemented according to the product sales information to say "The first product is sold at the first price. The script for live commerce including text data such as “The remaining quantity is 1 piece” can be created.

In this way, the processor provides a standard script form optimized according to the target product (TP) to be sold through live commerce or the propensity of the seller, etc., and based on this, a customizable configuration including information specific to the target product (TP). By providing a script, it is possible to easily and conveniently configure a script for live commerce according to a standardized framework.

In another embodiment, the processor may obtain real-time seller voice script data in conjunction with the seller terminal 100-2.

Here, the seller's voice script data according to the embodiment means data recorded by the seller in voice of the audio information to be provided based on the AI human model (M) for live in the live commerce broadcast video (LV) can do.

In detail, the processor may provide an audio script generation interface capable of recording a voice of a corresponding seller or taking a video in real time while transmitting the live commerce broadcasting video (LV) based on the seller terminal 100-2. .

In addition, the processor may obtain the seller's voice script data based on the seller's training data and/or the seller's photographic image data based on the voice script generation interface.

In detail, the processor may acquire the seller's training data as the seller's voice script data, or may obtain the seller's voice script data by extracting audio data from the seller's photographic image data.

In addition, the processor may generate seller text script data by converting the obtained seller voice script data into text.

Further, the processor may set the generated seller text script data as the script for live commerce.

In this way, the processor can set the audio of the AI human model (M) for the live based on the breeding data provided by the seller in real time when live commerce is in progress, so that the seller has an easier and more intuitive method and a higher degree of freedom. You can create a script for live commerce including desired comments.

As another embodiment, the processor may obtain typing script data in real time by interworking with the seller terminal 100-2.

Here, the typing script data according to the embodiment may be data in which the seller directly types the script for live commerce in real time.

In detail, the processor may provide a script typing interface capable of writing a script for live commerce by performing real-time typing while transmitting a live commerce broadcast video (LV) to the seller terminal 100-2.

Also, the processor may generate the script for live commerce in real time based on the seller's input based on the provided script typing interface.

Accordingly, the processor may more quickly and accurately reflect the message desired by the seller to the script for live commerce.

As described above, the processor, according to the seller's voice, video and / or text data obtained in real time while the live commerce is in progress, the audio of the AI human model (M) for live in the corresponding live commerce broadcast video (LV) (i.e. , audio provided through the voice of the corresponding AI human model) in real time, so that live commerce is conducted based on a live commerce script that immediately reflects the real-time sales situation or the seller's intention, improving its usability and performance. can

In the above description, the embodiments have been classified and described as described above for effective description, but various embodiments such as at least some of the above embodiments may be organically combined with each other and operated according to the embodiment may also be possible.

In addition, in the embodiment, the processor, based on the script for live commerce generated as described above, 2) the shape of the AI human model (M) for live (eg, gestures such as hand gestures, gestures and / or mouth gestures, etc.) and Audio information can be determined.

That is, in the embodiment, the script for live commerce may be data instructing shape change and audio output of the AI human model for live, and in the embodiment, the processor, based on the script for live commerce, the AI for live It can transform the shape of the human model, output audio, and load it onto the live commerce broadcasting video in real time.

In detail, in the embodiment, the processor may determine the shape information of the AI human model (M) for live based on text data included in the generated script for live commerce.

More specifically, in an embodiment, the processor may detect at least one predetermined word and/or sentence (hereinafter, shape-determining text) from the text data of the script for live commerce.

In addition, in an embodiment, the processor stores at least one shape-indicating data (eg, predetermined hand gestures, gestures, and/or gestures such as mouth gestures, etc.) pre-matched and stored with the detected at least one shape-determining text in memory. It can be read from module 280.

Thus, the processor may determine the shape information of the AI human model (M) for live according to the live commerce script based on the read at least one shape instruction data.

On the other hand, in the embodiment, the processor may determine audio information of the AI human model (M) for live based on text data included in the generated script for live commerce.

In detail, in the embodiment, the processor converts the text data of the script for live commerce into an audio signal based on the voice recording data for the AI human model (M) for live, and the audio of the AI human model (M) for live information can be determined.

Alternatively, according to the embodiment, the processor, when the above-described seller voice script data is matched with the text data of the live commerce script, converts the seller voice script data to voice recording data for the AI human model (M) for live. Audio information of the AI human model (M) for live may be determined by converting based on.

In this way, the processor implements an AI human model that moves and ignites according to the live commerce script that reflects the target product (TP) or the seller's intention, so that the seller's needs are properly reflected and additional manpower is provided without separate communication. It is possible to provide live commerce using realistic virtual humans as show hosts without consumption.

In addition, in the embodiment, the processor may 3) generate the live commerce broadcast video (LV) based on the determined shape and audio information of the AI human model (M) for live.

In detail, in the embodiment, the processor may obtain a real-time streaming video (RSV) for the live commerce (eg, an offline store video taken by the seller) in conjunction with the seller terminal 100-2. .

In addition, in the embodiment, the processor augments and displays the AI human model (M) for live, which operates according to the determined shape and audio information of the AI human model (M) for live, on the obtained real-time streaming video (RSV) ( Augmented display) to generate the live commerce broadcast video (LV).

In addition, in the embodiment, the processor generates a product information window (PIW) for displaying product-related information based on the above-described product sales information, and further displays the generated product information window (PIW) on the real-time streaming video (RSV). By doing so, the live commerce broadcasting video (LV) can be generated.

That is, in the embodiment, the live commerce broadcast video (LV) includes a real-time streaming video (RSV), a live AI human model (M) that provides shape and audio information according to a real-time live commerce script, and a corresponding live commerce It may be implemented by including a product information window (PIW) displaying product sales information for the target product (TP) to be sold through.

In this way, the processor augments and displays the AI human model, which is a realistic virtual human, on the real-time streaming video (RSV) obtained from the seller to generate a live commerce broadcast video (LV) for the target product (TP), so that the seller Just by providing a video of a specific space (eg, a space where an offline shelf is installed), it is possible to support the establishment of a live commerce environment easily without the trouble of hiring additional personnel or configuring a system, and it consumes This can significantly save effort and cost.

At this time, according to the embodiment, the processor may further provide a real-time chatting function based on the live commerce broadcasting video (LV).

As an embodiment, the processor may further include and provide a real-time chat window (RCW) on the corresponding live commerce broadcast video (LV).

In addition, the processor, the real-time from the terminal 100 (in the embodiment, the seller terminal 100-2 and / or buyer terminal 100-3, etc.) receiving and outputting the corresponding live commerce broadcast video (LV) Real-time instant messages according to user input based on the chat window RCW may be received.

In addition, the processor provides a real-time chatting function based on the live commerce broadcasting video (LV) by displaying the received real-time instant message on the corresponding live commerce broadcasting video (LV) based on the real-time chatting window (RCW). can do.

Accordingly, the processor may support smooth communication between the seller and/or the buyer in real-time live commerce.

In addition, in the embodiment, the processor, 4) may provide the live commerce broadcasting video (LV) generated as above to the external terminal 100 in real time.

That is, in the embodiment, the processor transmits the live commerce broadcasting video (LV) generated based on the above-described live commerce platform to an external terminal 100 (in the embodiment, the purchaser terminal 100-3, etc.) in real time. can be sent and delivered.

Through this, the processor may implement a real-time online sales and purchase process based on the live commerce broadcast video (LV).

7 is an example of a diagram for explaining a method of providing an online shopping service based on a live commerce broadcast video (LV) according to an embodiment of the present invention.

Also, referring to FIG. 7 , in an embodiment, a processor may provide an online shopping service based on a live commerce broadcast video (LV). (S109)

That is, in the embodiment, the processor, a predetermined buyer watches the real-time live commerce broadcasting video (LV) generated as described above, and the buyer watches the live commerce broadcasting video (LV) through the corresponding live commerce while the live commerce broadcasting video (LV) is being transmitted. An online shopping service capable of performing an online purchasing process for a sold target product may be provided.

In detail, in the embodiment, the processor can perform real-time streaming of the live commerce broadcast video (LV) to an external terminal 100 (in the embodiment, the buyer terminal 100-3, etc.) and perform live commerce as described above. there is. Hereinafter, the external terminal 100 is described based on the purchaser terminal 100-3, but is not limited thereto.

In addition, in the embodiment, the processor receives and outputs the live commerce broadcast video (LV) and interworks with the buyer terminal 100-3 that performs the live commerce, making an online purchase based on the live commerce broadcast video (LV). By supporting the process, it is possible to provide an online shopping service based on the live commerce broadcast video (LV) as described above.

Through this, the processor may provide an online shopping service implemented on an efficiently constructed live commerce environment by minimizing required manpower or equipment.

Also, in an embodiment, the processor may perform revenue settlement according to sales based on an online shopping service. (S111)

In detail, in the embodiment, the processor calculates the sales amount generated through the online shopping service performed as above, and performs a revenue settlement process of distributing the calculated sales amount to a plurality of entities according to a predetermined standard. .

At this time, in the embodiment, the plurality of subjects may include a seller, a live commerce platform provider, and/or a model user.

As an embodiment, the processor calculates a platform use fee for the use of the live commerce platform based on a predetermined platform use fee calculation method (eg, a flat rate or a royalty system following a predetermined percentage (%) compared to the sales amount) Payment can be made to the live commerce platform provider.

In addition, the processor uses the AI human model based on the usage fee (eg, usage fee per hour, usage fee per usage count, and/or usage fee based on sales revenue) for the corresponding AI human model that has been previously set as described above. An AI human model usage fee for can be calculated and paid to the model user.

In addition, the processor may pay the remaining amount to the seller excluding the platform use fee and/or the AI human model use fee from the calculated sales amount.

In this way, the processor automatically distributes the sales amount generated through the online shopping service to a plurality of entities according to a predetermined criterion, so that the parties (in the embodiment, the seller, the live commerce platform provider, and/or the model user) can reasonably and can support the fair distribution of generated profits according to a systematic profit settlement structure.

As described above, the method and system for providing live commerce through an AI human model according to an embodiment of the present invention perform a real-time broadcast based on an AI human model and a real-time streaming video (RSV) and provide an online shopping service based on the broadcast. , there is an effect of providing an E-commerce platform implemented on an efficiently built Live commerce environment by minimizing the required manpower, equipment, and cost.

In addition, the method and system for providing live commerce through an AI human model according to an embodiment of the present invention can improve the usability of live commerce by supporting the easy construction of an environment for live commerce, and the effort required for this can be improved. There is an effect that can significantly reduce the cost or the like.

In addition, the method and system for providing live commerce through an AI human model according to an embodiment of the present invention relays matching between a product seller hosting real-time broadcasting and an AI human model, thereby improving accessibility and utilization of the AI human model market. At the same time, it has the effect of enabling live commerce built to perfection with little effort without hiring additional personnel.

In addition, the method and system for providing live commerce through an AI human model according to an embodiment of the present invention uses the AI human model selected by the seller as a showhost without the seller directly conducting live commerce. By enabling commerce to proceed, there is an effect of protecting the privacy of the individual seller and at the same time providing the inherent ripple effect by the person in which the corresponding AI human model appears.

On the other hand, the embodiments according to the present invention described above may be implemented in the form of program instructions that can be executed through various computer components and recorded on a computer-readable recording medium. The computer readable recording medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the computer-readable recording medium may be specially designed and configured for the present invention, or may be known and usable to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and magneto-optical media such as floptical disks. medium), and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter or the like as well as machine language codes generated by a compiler. A hardware device may be modified with one or more software modules to perform processing according to the present invention and vice versa.

Specific implementations described in the present invention are examples and do not limit the scope of the present invention in any way. For brevity of the specification, description of conventional electronic components, control systems, software, and other functional aspects of the systems may be omitted. In addition, the connection of lines or connecting members between the components shown in the drawings are examples of functional connections and / or physical or circuit connections, which can be replaced in actual devices or additional various functional connections, physical connection, or circuit connections. In addition, if there is no specific reference such as “essential” or “important”, it may not be a component necessarily required for the application of the present invention.

In addition, the detailed description of the present invention described has been described with reference to preferred embodiments of the present invention, but those skilled in the art or those having ordinary knowledge in the art will find the spirit of the present invention described in the claims to be described later. And it will be understood that the present invention can be variously modified and changed without departing from the technical scope. Therefore, the technical scope of the present invention is not limited to the contents described in the detailed description of the specification, but should be defined by the claims.

Claims (10)

As a method for at least one processor of a live commerce providing server to provide live commerce through an AI human model,
Registering an AI human model on a live commerce platform;
Determining an AI human model for live commerce to be used for live commerce based on the registered AI human model;
Generating a live commerce broadcast video based on the determined AI human model for live commerce and the real-time streaming video; and
Providing the generated live commerce broadcast video to an external terminal
How to provide live commerce through AI human model. According to claim 1,
The step of registering the AI human model on the live commerce platform,
Acquiring photographing data and voice data for a model user;
Generating the AI human model according to live action modeling based on the acquired photographic data and voice data
How to provide live commerce through AI human model. According to claim 2,
The step of registering the AI human model on the live commerce platform,
A usage fee self-setting method for setting an AI human model usage fee according to the input of the model user;
Setting a usage fee calculation method for the AI human model in one of the usage fee negotiation setting methods for setting the AI human model usage fee based on a usage fee consultation process between a user using the AI human model and the model user more inclusive
How to provide live commerce through AI human model. According to claim 3,
The step of determining the AI human model for live commerce,
Providing an AI human model list based on at least one AI human model registered in the live commerce platform
How to provide live commerce through AI human model. According to claim 3,
The step of determining the AI human model for live commerce,
Acquiring a user input for setting AI human model usage fee conditions;
Detecting at least one AI human model that satisfies the obtained AI human model usage fee condition;
Providing an AI human model list based on the at least one detected AI human model
How to provide live commerce through AI human model. According to any one of claims 4 and 5,
The step of determining the AI human model for live commerce,
Obtaining a user input for selecting any one AI human model in the provided AI human model list;
Setting a usage fee for the selected AI human model based on the usage fee calculation method for the selected AI human model;
Further comprising determining the AI human model for the live commerce based on the AI human model for which the usage fee is set
How to provide live commerce through AI human model. According to claim 1,
The step of generating the live commerce broadcast video,
Determining the real-time shape and audio information of the AI human model for live commerce
How to provide live commerce through AI human model. According to claim 7,
The step of determining the real-time shape and audio information of the AI human model for live commerce,
Creating a script for live commerce that determines the shape change and audio output of the AI human model for live commerce;
Determining the real-time shape and audio information of the AI human model for live commerce based on the generated script for live commerce
How to provide live commerce through AI human model. According to claim 7,
The step of generating the live commerce broadcast video,
Obtaining the real-time streaming video based on a user input using the AI human model for live commerce;
Augmenting and displaying an AI human model for live commerce according to the determined real-time shape and audio information on the obtained real-time streaming image
How to provide live commerce through AI human model. At least one memory in which an AI live commerce application is stored; and
At least one processor that reads the AI live commerce application stored in the memory and performs a method of providing live commerce through the AI human model;
The command of the AI live commerce application is,
Registering an AI human model on a live commerce platform;
Determining an AI human model for live commerce to be used for live commerce based on the registered AI human model;
Generating a live commerce broadcast video based on the determined AI human model for live commerce and the real-time streaming video;
Including a command for performing the step of providing the generated live commerce broadcast video to an external terminal
Live commerce provision system through AI human model.