KR20220147934A - system that operates an overseas direct purchase platform that manages customs clearance EDI forms - Google Patents

Abstract

The present invention relates to an overseas direct purchase platform. In addition, an embodiment of the present invention relates to a system for operating an overseas direct purchase platform to manage a customs clearance electronic data interchange (EDI) form. The system for operating an overseas direct purchase platform comprises: a first user terminal and a second user terminal; a server which operates an overseas direct purchase platform executed by the first user terminal and the second user terminal; an outdoor billboard display; and a camera module which includes a plurality of cameras installed near the billboard display.

Description

{system that operates an overseas direct purchase platform that manages customs clearance EDI forms}

The present invention relates to an overseas direct purchase platform. In addition, an embodiment of the present invention relates to a system for operating an overseas direct purchase platform that manages the customs EDI form.

As the size of overseas direct purchase and luxury goods market has continuously increased over the past few years, the global luxury online market size is approximately 35 trillion KRW as of 2018. Despite the growth of the overseas direct purchase and luxury market, there is no specialized platform that sells overseas offline luxury goods.

Currently, there is no specialized platform that sells off-line luxury goods overseas, and the existing sales form of off-line goods of overseas luxury outlets is to enter and sell overseas luxury goods in a large open market. In this case, there are problems and limitations in which products cannot but be raised in a limited way due to excessive fees and the nature of the open market.

Also, in the case of cross border E-commerce, a logistics system is required for smooth delivery, but current platforms do not have a logistics system optimized for overseas delivery. In other words, there is no luxury vertical commerce platform that combines logistics companies.

Republic of Korea Patent Registration 10-0609864

An object of the present invention is to provide a luxury vertical commerce platform providing system that integrates mobile upload technology, international logistics module and electronic payment module, and integrates C2C and B2C.

Specifically, the purpose of the luxury vertical commerce platform providing system according to the present invention is to automatically assign attributes suitable for delivery and customs clearance by selecting only a category.

In addition, it is intended to provide a commercial platform solution centered on sellers and interworking with sourcing companies.

In addition, it is intended to provide an on/offline cross-border product sales solution by combining a back-end system and a front-end platform.

The technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those of ordinary skill in the art to which the present invention belongs from the description below. will be able

According to an aspect of the present disclosure, there is provided a system for providing a luxury vertical commerce platform, comprising: a first user terminal and a second user terminal; and a server that provides a commerce platform to the first user terminal and the second user terminal, wherein the server: receives product image information from the first user terminal, the product included in the product image information, and the Create and store corrected product image information by performing image correction on an object other than a product, receive first category information about the product from the first user terminal, and store the first category information in a second automatically matches the category information, wherein the second category information is an HS code, and receives user information of the second user terminal from the second user terminal, wherein the user information of the second user terminal is gender information, age information, user tendency information, and product preference information, and generating preference product recommendation information and product recommendation push based on a preference weight according to user information of the second user terminal, and the preference product The recommendation information and the product recommendation push are transmitted to the second user terminal, wherein at least one of the product recommendation information and the product recommendation push includes the corrected product image information, and purchase request information for the product. A system for receiving from the second user terminal, and transmitting a customs electronic data interchange (EDI) form to the first user terminal based on the purchase request information and the second category information.

Automatically matching the purchase request information and the second category information to a first attribute corresponding to the purchase request information and the second category information among a plurality of attributes included in the customs EDI form, and the plurality of attributes of receiving input information about a second attribute other than the first attribute from the second user terminal, matching the input information to the second attribute to generate customs document information, and transferring the customs document information to an external server can be sent to

The server generates standard size standard information by standardizing product size standard information for each country, and transmits the standard size standard information to the second user terminal, and the purchase request is based on the standard size standard information Thus, the selected standard size information may be included.

The server applies the preference weight according to the user information of the second user terminal differently to each of a plurality of gender attributes, a plurality of age attributes, a plurality of user tendency attributes, and a plurality of product preference attributes, The product recommendation information and the product recommendation push may be generated.

The server is configured to: preset at least one of a reference brand text and a reference brand image for a plurality of brands, extract at least one of a brand identification text and a brand identification image included in the corrected product image, and the reference brand text and a similarity test is performed on the brand identification text to exceed a preset first similarity threshold, or a similarity test is performed on the reference brand image and the brand identification image to exceed a preset second similarity threshold. The corrected product image may be included in at least one of the product recommendation information and the product recommendation push.

The above problem solving methods are only some of the various examples of the present disclosure, and various examples reflecting the technical features of the present disclosure can be derived and understood by those of ordinary skill in the art based on the following detailed description. have.

According to various examples of the present disclosure, a luxury vertical commerce platform providing system that integrates mobile upload technology, international logistics module, and electronic payment module, and integrates C2C and B2C may be provided.

Specifically, by selecting only a category, attributes suitable for delivery and customs can be automatically assigned.

In addition, interworking with sourcing companies and seller-oriented commercial platform solutions can be provided.

In addition, an on/offline cross-border product sales solution can be provided by combining a back-end system and a front-end platform.

Effects according to the present disclosure are not limited to the above-mentioned effects, and other effects not mentioned will be clearly understood by those of ordinary skill in the art related to the present disclosure from the following detailed description. .

Other aspects, features and benefits as described above of certain preferred embodiments of the present invention will become more apparent from the following description taken in conjunction with the accompanying drawings.
1 is a block diagram of a system for providing a luxury vertical commerce platform according to an example of the present disclosure.
2 is a flowchart of a method of providing a luxury vertical commerce platform according to an example of the present disclosure.
3 is a flowchart of a brand similarity testing method according to an example of the present disclosure.
4 is a flowchart of a method of generating customs document information according to an example of the present disclosure.
5 is for explaining a front-end platform according to an example of the present disclosure.
It should be noted that throughout the drawings, like reference numerals are used to denote the same or similar elements, features, and structures.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

In describing the embodiments, descriptions of technical contents that are well known in the technical field to which the present invention pertains and are not directly related to the present invention will be omitted. This is to more clearly convey the gist of the present invention by omitting unnecessary description.

For the same reason, some components are exaggerated, omitted, or schematically illustrated in the accompanying drawings. In addition, the size of each component does not fully reflect the actual size. In each figure, the same or corresponding elements are assigned the same reference numerals.

Advantages and features of the present invention, and a method of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the art to which the present invention pertains. It is provided to fully inform the possessor of the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout.

At this time, it will be understood that each block of the flowchart diagrams and combinations of the flowchart diagrams may be performed by computer program instructions. These computer program instructions may be embodied in a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, such that the instructions performed by the processor of the computer or other programmable data processing equipment are not described in the flowchart block(s). It creates a means to perform functions. These computer program instructions may also be stored in a computer-usable or computer-readable memory that may direct a computer or other programmable data processing equipment to implement a function in a particular manner, and thus the computer-usable or computer-readable memory. It is also possible for the instructions stored in the flowchart block(s) to produce an article of manufacture containing instruction means for performing the function described in the flowchart block(s). The computer program instructions may also be mounted on a computer or other programmable data processing equipment, such that a series of operational steps are performed on the computer or other programmable data processing equipment to create a computer-executed process to create a computer or other programmable data processing equipment. It is also possible that instructions for performing the processing equipment provide steps for performing the functions described in the flowchart block(s).

Additionally, each block may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). It should also be noted that in some alternative implementations it is also possible for the functions recited in the blocks to occur out of order. For example, it is possible that two blocks shown in succession are actually performed substantially simultaneously, or that the blocks are sometimes performed in the reverse order according to the corresponding function.

In this case, the term '~ unit' used in this embodiment means software or hardware components such as field-programmable gate array (FPGA) or ASIC (Application Specific Integrated Circuit), and '~ unit' refers to what role carry out the However, '-part' is not limited to software or hardware. '~unit' may be configured to reside on an addressable storage medium or may be configured to refresh one or more processors. Thus, as an example, '~' denotes components such as software components, object-oriented software components, class components, and task components, and processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. The functions provided in the components and '~ units' may be combined into a smaller number of components and '~ units' or further separated into additional components and '~ units'. In addition, components and '~ units' may be implemented to play one or more CPUs in a device or secure multimedia card.

In describing embodiments of the present invention in detail, an example of a specific system will be mainly targeted, but the main subject matter to be claimed in this specification is to extend the scope disclosed herein to other communication systems and services having a similar technical background. It can be applied within a range that does not deviate significantly, and this will be possible at the discretion of a person with technical knowledge skilled in the art.

1 is a block diagram of a system for providing a luxury vertical commerce platform according to an embodiment of the present invention.

Referring to FIG. 1 , a system for providing a luxury vertical commerce platform according to an embodiment of the present invention may include a first user terminal 10 , a second user terminal 20 , and a server 30 .

The first user terminal 10 may be a terminal of a product seller (ie, a person selling a product), and the second user terminal 20 may be a terminal of a product buyer (ie, a person who wants to purchase a product). In the present disclosure, a terminal, for example, a smartphone, a mobile phone, a smart TV, a set-top box, a tablet PC, a digital camera, a camcorder, an e-book terminal, a digital broadcasting terminal, a PDA (Personal Digital Assistants), a PMP (Portable Multimedia Player), navigation, MP3 player, wearable device, air conditioner, microwave oven, audio, DVD player, and the like may be included. Here, the personal computer may include a laptop computer, a desktop, and the like.

The first user terminal 10 and the second user terminal 20 are connected to the server 30 through a wired/wireless network to transmit various information input from a product seller or a product buyer to the server 30, or the server 30 ) stored or processed information can be received.

The server 30 provides a commerce platform to the first user terminal 10 and the second user terminal 20 . The server 30 may provide a commerce platform by interworking with the external server 30 . The server 30 may include a database unit, a communication unit, and a control unit.

The database unit may store various types of information received from the first user terminal 10 and the second user terminal 20 and information processed by the control unit. In addition, other information for providing a commerce platform may be stored in advance.

For example, information received from the first user terminal 10 and the second user terminal 20 includes product image information, first category information about the product, user information of the second user terminal 20 and purchase request information. etc. may be included.

For example, the information processed by the controller may include corrected product image information, customs EDI form, customs document information, standard size specification information, product recommendation information, product recommendation push, brand identification text, and brand identification image. .

For example, the pre-stored information includes second category information, product size specification information for different countries, a plurality of gender attributes, a plurality of age attributes, a plurality of user tendency attributes, a plurality of product preference attributes, and a reference brand. text and a reference brand image, a first similarity threshold and a second similarity threshold.

The above-described information is illustratively listed to describe implementations included in the present disclosure, and in addition to the above-described information, various information for providing a commercial platform may be stored in the database unit.

The communication unit receives various information input from the first user terminal 10 and the second user terminal 20 and the product seller (ie, the first user) or the product buyer (ie, the second user), or the server 30 Various information stored in or processed can be transmitted.

For example, the communication unit is long-term evolution (LTE), LTE Advance (LTE-A), LTE-A Pro, new radio (NR), code division multiple access (CDMA), wideband CDMA (WCDMA), universal Data transmission/reception may be performed based on cellular communication protocols such as mobile telecommunications system) and Wireless Broadband (WiBro) or short-range communication such as wireless fidelity (WiFi), Bluetooth, and near field communication (NFC).

The communication unit may transmit/receive various data, signals, and information to and from the server 30 of the present invention and/or the terminals 10 and 20 of the present invention. In addition, the communication unit is a wireless communication module (eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module (eg, a local area network (LAN) communication module, or a power line communication module ) may be included. In addition, the communication unit may include a first network (eg, a short-range communication network such as Bluetooth, WiFi direct or IrDA (infrared data association)) or a second network (eg, a cellular network, the Internet, or a computer network (eg, LAN or WAN)) It can communicate with an external electronic device through a telecommunication network). These various types of communication modules may be integrated into one component (eg, a single chip) or may be implemented as a plurality of components (eg, multiple chips) separate from each other.

The control unit may be organically connected to the database unit and the communication unit to perform various operations for providing a commercial platform. Hereinafter, examples of operations that may be performed by the server 30 based on the control unit of the present disclosure will be described. Examples of operations that may be performed by the server 30 may include various operations performed by a back-end system and a front-end platform. Here, the front-end platform may mean a platform provided to the second user terminal 20 , and the back-end system may be for providing a luxury vertical commerce platform at the back-end.

The controller may directly/indirectly control the terminals 10 and 20 and/or the server 30 of the present invention to implement the operation/step/process according to an embodiment of the present invention. In addition, the controller may include at least one processor, and the processor may include at least one central processing unit (CPU) and/or at least one graphics processing device (GPU).

2 is a flowchart of a method for providing a luxury vertical commerce platform according to an embodiment of the present invention.

Referring to FIG. 2 , in S110 , the server 30 may receive product image information from the first user terminal 10 and store the received product image information. The product image information may be an image captured by a user (ie, a product seller, a first user) of the first user terminal 10 (for this purpose, the first user terminal 10 uses a camera (and/or a camera module) may be included).

For example, product image information may include a plurality of objects including a product, and correction by the plurality of objects may be performed according to various examples of the present disclosure. Meanwhile, examples related to correction of product image information will be described later.

Before step S110, the server 30 provides a preset user interface (UI) and/or user experience (UX) to the first user terminal 10, so that the first user terminal 10 uploads product image information. and/or may provide convenience for procedures necessary to initiate product sales.

In S120, the server 30 receives the first category information about the product from the first user terminal 10, and in S130, the server 30 automatically matches the first category information to the second category information stored in advance. can do.

The first category information is product type information of the product, and is category information directly input by the user of the first user terminal 10 or provided to (and/or sold for) the first user terminal 10 through the server 30 . ) may be any one category information selected (and/or to be purchased) by the user of the first user terminal 10 among a plurality of product category information.

The second category information may be a harmonized system code (HS). The HS code is a code that categorizes the types of traded products into numeric codes in foreign trade transactions, and specific HS codes may be used according to international conventions.

When the first category information is automatically matched with the second category information, the HS code is automatically matched even if the user inputs only the rough product type information without directly finding and selecting the HS code for the product uploaded by the user. have.

For example, the server 30 collects category information used in boutiques, domestic and foreign open markets or other e-commerce platforms based on a crawling engine or a web scraping engine, and collects the collected category information through deep learning. learning) algorithm or a machine learning algorithm, a classifier may be generated, and first category information may be applied to the generated classifier to match the HS code.

For example, the first category information and/or the second category information may include clothes (eg, tops, shirts, blouses, T-shirts, knits, bottoms, pants, skirts, leggings, denim, dresses, outerwear, cardigans, coats/jackets, jumpers/vests), accessories (e.g. hats, belts, precious metals, etc.), shoes, bags, innerwear, gloves, socks, stockings, goods, dolls, books, albums (e.g. CDs, tapes, album packages, etc.) ) and so on. In addition, the first category information and/or the second category information includes interior, beauty, flower, gardening, childbirth, infant, kitchen, living, fashion accessory, companion animal, home appliance, digital, computer, mobile, sports, leisure , food (F&B), stationery, toys, hobbies, and the like.

In S140 , the server 30 may receive user information of the second user terminal 20 from the second user terminal 20 . Here, the user information of the second user terminal 20 may include at least one of gender information, age information, user tendency information, and product preference information.

In S150, the server 30 generates preference product recommendation information and product recommendation push based on the preference weight according to the user information of the second user terminal 20, and in S160, the server 30 generates a preference product The recommendation information and the product recommendation push may be transmitted to the second user terminal 20 .

For example, step S150 may be performed in conjunction with a tensor flow-based deep learning application programming interface (API). Specifically, the server 30 is configured to have a preference weight according to user information of the second user terminal 20 for each of a plurality of gender attributes, a plurality of age attributes, a plurality of user tendency attributes, and a plurality of product preference attributes. may be differently applied to generate product recommendation information and product recommendation push.

For example, the plurality of gender attributes may be man/woman, and the plurality of age attributes may include teenagers, 20s, 30s, 40s, and the like. In addition, the plurality of user tendency attributes may be attributes for product design (eg, color, material, etc.), and the plurality of product preference attributes may be attributes that can identify a product buyer's preferred product, such as a brand or product type. can

The server 30 collects data about the product buyer's user information and product purchase history whenever a product buyer (eg, a second user) purchases a product, and applies a deep learning API-based deep learning algorithm to the collected data. By doing so, it is possible to generate product recommendation information and product recommendation push by differently applying preference weights to different attributes for each user.

Here, at least one of the product recommendation information and the product recommendation push may include product image information received in S110 or product image information corrected by the server 30 . Also, the server 30 may periodically and/or aperiodically transmit the generated product recommendation information and product recommendation push to the second user terminal 20 .

In S170 , the server 30 may receive purchase request information for the product from the second user terminal 20 . Here, the purchase request information for the product may include identification information of the product, the purchase quantity of the product, purchase color information, and the like.

In S180 , the server 30 may transmit a customs electronic data interchange (EDI) form to the first user terminal 10 based on the purchase request information and the second category information. A customs EDI form is a form of electronically documented customs documents for exchanging customs documents in electronic data form.

In this case, the customs document may be, for example, a commercial invoice or a packing list required for export customs clearance. In other words, the customs EDI form may include various attributes required when preparing a commercial invoice or packing statement.

Meanwhile, a correction step for product image information may be additionally performed after step S110 described above.

For example, the server 30 may generate and store corrected product image information by performing image correction on an object other than a product and a product included in the product image information received in S110. Image correction may be performed based on various image extraction algorithms such as edge extraction, corner extraction, feature point extraction, and the like.

For example, the step of correcting the product image information may be to extract only the object corresponding to the product excluding the background from the photographed product image, and to provide only the extracted product image information to the second user terminal 20 . .

To this end, the server 30 may obtain object information by extracting an object included in the photographed product image. The server 30 is HOG (Histogram of Oriented Gradient), Haar-like feature, Co-occurrence HOG, LBP (local binary pattern), FAST (features from accelerated segment test), etc. Through various algorithms for object feature extraction, It is possible to obtain an outline of an object in the photographed product image or a text that can be extracted from the object (or an outline (or outline) indicating information). In addition, the server 30 may recognize (or identify) an object in the acquired image (or image information) through image analysis, and mask an area corresponding to the recognized object to generate masking image information. At this time, the masking process is, for example, a differential imaging method, a Model of Gaussian (MOG) algorithm using Gaussian Mixture Models (GMM), a codebook algorithm, etc. Object through background modeling to separate an object and a background Object information may be extracted and/or obtained by using a method of extracting an object candidate region corresponding to .

Alternatively, the step of correcting the product image information may be performed to identify whether the product the product seller (ie, the first user) wants to sell is an original or a fake of the corresponding brand.

3 is a flowchart of a brand similarity testing method according to an embodiment of the present invention.

Referring to FIG. 3 , in S210 , the server 30 may preset at least one of a reference brand text and a reference brand image for each of a plurality of brands. Here, the reference brand text and the reference brand image may be data serving as standards for identifying whether the product is an original or a fake of the corresponding brand.

In S220, the server 30 may extract at least one of the brand identification text and the brand identification image included in the corrected product image.

The extraction method may be performed based on the image extraction algorithm described above. For example, the server 30 may obtain object information by extracting an object included in the photographed product image. The server 30 is HOG (Histogram of Oriented Gradient), Haar-like feature, Co-occurrence HOG, LBP (local binary pattern), FAST (features from accelerated segment test), etc. Through various algorithms for object feature extraction, It is possible to obtain an outline of an object in the photographed product image or a text that can be extracted from the object (or an outline (or outline) indicating information). In addition, the server 30 may recognize (or identify) an object in the acquired image (or image information) through image analysis, and mask an area corresponding to the recognized object to generate masking image information. At this time, the masking process is, for example, a differential imaging method, a Model of Gaussian (MOG) algorithm using Gaussian Mixture Models (GMM), a codebook algorithm, etc. Object through background modeling to separate an object and a background Object information may be extracted and/or obtained by using a method of extracting an object candidate region corresponding to . The server 30 may also identify the brand identification text and/or the brand identification image from the object information.

In S230, the server 30 performs a similarity test on the reference brand text and/or the brand identification text to exceed a preset first similarity threshold, or performs a similarity test on the reference brand image and the brand identification image. Only when the preset second similarity threshold is exceeded, the corrected product image may be included in at least one of product recommendation information and product recommendation push.

For example, the first similarity threshold and/or the second similarity threshold may be preset values.

As another example, the server 30 may determine (and/or reset) the first similarity threshold and/or the second similarity threshold according to a predetermined criterion.

Alternatively, the method for providing a luxury vertical commerce platform according to an embodiment of the present invention may further include a step of generating customs document information after step S130 described above.

4 is a flowchart of a method for generating customs document information according to an embodiment of the present invention.

Referring to FIG. 4 , in S310 , the server 30 includes the purchase request information and the first attribute corresponding to the purchase request information and the second category information among a plurality of attributes included in the customs EDI (Electronic data interchange) form. 2 Category information can be automatically matched. Here, the first attribute may be information that can be matched only with information included in the purchase request information or the second category information without a separate input from the first user terminal 10 .

In S320 , the server 30 may receive input information on a second attribute excluding the first attribute among the plurality of attributes from the second user terminal 20 . For example, the input information for the second attribute may be information directly input from the second user terminal 20 or information selected from the second user terminal 20 for each of the second attributes.

In S330, the server 30 may generate customs document information by matching the input information to the second attribute.

In S340 , the server 30 may transmit the generated customs document information to the external server 30 . Here, the external server 30 may be a server 30 included in the customs clearance system to process customs procedures.

Hereinafter, examples of operations that may be performed by the backend system included in the system for providing a luxury vertical commerce platform of the present disclosure are disclosed in addition to the above-described operation examples. Each of the following operation examples may be performed independently, may be performed by a combination of two or more, or may be performed in combination with the above operation examples.

According to an embodiment of the present invention, the server 30 may transmit product order confirmation information to the first user terminal 10 upon receiving a product purchase request from the second user terminal 20 . The product order confirmation information may include product identification information, product purchase quantity, purchase color information, or user information of the second user terminal 20 included in product purchase request information.

According to an embodiment of the present invention, the server 30 may set different access rights to the product seller and the product buyer. For example, the server 30 is a product seller, that is, a product upload function such as product image information to the first user terminal 10 of the present disclosure, or an order according to receipt of a product purchase request from the second user terminal 20 . Additional processing functions may be provided.

In order to set the access authority, the server 30 additionally performs an authentication procedure and a registration procedure separately for the first user terminal 10, stores the user information of the first user, and separately sets the access authority for the stored user information. can be set.

According to an embodiment of the present invention, the server 30 further includes an API module for the first user terminal 10 to upload and store a plurality of products to the server 30 to the first user terminal 10 . can provide For example, when a plurality of products are included in the above-described product image information, the server 30 may generate and store product image information for each of the plurality of products based on the above-described image extraction algorithm.

According to an embodiment of the present invention, when the stock or price of products owned by the user of the first user terminal 10, that is, the sourcing company changes, the server 30 may update it by reflecting it in real time. For example, when product inventory or price information is stored in the first user terminal 10 or the terminal or server 30 separately included in the product sales place of the user of the first user terminal 10, the server 30 ) receives product inventory or price information in real time from the first user terminal 10 or a separately included terminal or server 30, and updates product information stored in the server 30 in real time based on the received information. can

According to an embodiment of the present invention, the server 30 may provide an editor function for uploading a product to the first user terminal 10 . In this case, the editor function may be provided before and after the step of receiving the above-described product image information or in the step of receiving the product image information.

For example, the editor function may be provided to the first user terminal 10 in the form of a UI and/or UX for adding attributes or descriptions of products.

According to an embodiment of the present invention, when the server 30 cannot receive or process the product information upload from the first user terminal 10 or the product purchase request from the second user terminal 20, the first A temporary processing function may be provided to the user terminal 10 and the second user terminal 20 .

A temporary processing function may be provided based on a document creation module such as Word or Excel. For example, in the case of the first user terminal 10 , when uploading of product image information is deactivated, product information may be transmitted to the server 30 based on a temporary processing function, and in the case of the second user terminal 20 , product purchase When the request is deactivated, product identification information, product purchase quantity, and purchase color information may be generated and transmitted to the server 30 based on the temporary processing function.

According to an embodiment of the present invention, when the server 30 receives product information from the plurality of first user terminals 10 , the server 30 indexes a brand, a sourcing destination, a product number, and the like, and indexes the indexed product. The information may be provided to the first user terminal 10 and the second user terminal 20 .

The first user terminal 10 and the second user terminal 20 may perform a product search for each brand, sourcing destination, and product number based on the index.

According to an embodiment of the present invention, the server 30 may provide a customer inquiry function to the second user terminal 20 and may provide a customer inquiry response function to the first user terminal 10 . For example, the customer inquiry response function may be activated after receiving product purchase request information from the second user terminal 20 .

The customer inquiry function and the customer inquiry response function may be provided differently for each brand or product type. That is, by reflecting the attributes of each brand or product type, customer inquiries or corresponding functions to customer inquiries may be set respectively.

According to an embodiment of the present invention, the server 30 translates words included in functions or information provided to the first user terminal 10 and the second user terminal 20 based on the language set in each user terminal. can be provided.

In this case, in the case of a word that cannot be translated directly among the corresponding words (eg, a word related to material, trend, etc.), the server 30 determines a word with the highest similarity among words previously stored in the database, and translates the determined word. It can be provided as a word.

According to an embodiment of the present invention, the server 30 may provide a real-time order tracking function and invoice numbering information to the first user terminal 10 and the second user terminal 20 by interworking with an external server. For example, the external server may be the server 30 included in the logistics system.

When a product is delivered according to a product purchase request from the second user terminal 20 from an external server, the server 30 may provide information on the delivered product in real time. In addition, the server 30 may provide invoice number assignment information when an invoice number is assigned to a product delivered from an external server.

Alternatively, the external server may be the server 30 included in the customs clearance system. Accordingly, the server 30 may be linked to an external server to generate customs documents. A detailed description thereof is the same as described above.

According to an embodiment of the present invention, the server 30 may provide a customer reward function to the second user terminal 20 . The server 30 collects birthday information, visit number information, purchase number information, etc. from the second user terminal 20 for a preset period, and provides a coupon to the second user terminal 20 based on the collected information. Rewards may be provided differentially.

According to an embodiment of the present invention, the server 30 may provide a statistical function to the first user terminal 10 . For example, the server 30 may provide product statistical information for each preset key performance indicator (KPI) to the first user terminal 10 . Here, the product statistical information may include sales information or sales volume information.

Hereinafter, examples of operations that can be performed based on the front-end platform included in the system for providing a luxury vertical commerce platform of the present disclosure are disclosed in addition to the above-described operation examples. Each of the following operation examples may be performed independently, may be performed by a combination of two or more, or may be performed in combination with the above operation examples.

According to an embodiment of the present invention, the server 30 may provide a social networking service (SNS)-based display platform to the first user terminal 10 and the second user terminal 20 . The SNS-based display platform may display product information on the terminals 10 and 20 based on UI and/or UX used in various SNS.

According to an embodiment of the present invention, the server 30 may provide the on/offline store map marking function and product recommendation function for each country to the first user terminal 10 and the second user terminal 20 . For example, the server 30 may provide the terminal with the location information of the first user terminal 10 or the offline store linked to the server for each country as shown in FIG. 5 . In addition, the server 30 may provide the second user terminal 20 with image information and the like on products recommended to the user according to the examples of the present disclosure described above.

According to an embodiment of the present invention, the server 30 may provide a hash tag, an index function for each region and each product. For example, the second user terminal 20 may perform a product search through a hash tag, an index for each region or product.

According to an embodiment of the present invention, when the server 30 is interlocked with a plurality of first user terminals 10 and provides a plurality of product information for the same product to the second user terminal 20, each Price information on products provided for each user terminal 10 may be provided together. Accordingly, the second user terminal 20 may transmit the purchase request information for the lowest price product to the server 30 by comparing the price information for the same product.

According to an embodiment of the present invention, the server 30 may provide the global integrated size table to the first user terminal 10 and the second user terminal 20 . The server 30 may standardize product size standard information for different countries to generate standard size standard information, and transmit the generated standard size standard information to the second user terminal 20 .

The second user terminal 20 may transmit a purchase request to the server 30 based on the standard size specification information, and in this case, the purchase request may include information on the standard size selected based on the standard size specification information.

An embodiment of the present invention may further include the following features.

The control unit 330 of the server 30 may include an artificial intelligence module, and after the description of the control unit 330 is described, the description of the artificial intelligence module is described.

The controller 330 may control the overall operation of the server 30 . In one example, the controller 330 may control the database unit 310 and the communication unit 320 in general by executing programs stored in the database unit 310 of the server 30 . In one example, the control unit 330 may perform some of the operations of the server 30 described above in FIGS. 1 to 5 by executing programs stored in the database unit 310 of the server 30 .

The controller 330 may control the communication unit 320 to receive text information about clothes, input by a user, from the terminals 10 and 20 . Also, the controller 330 may determine a first recommended product set including a plurality of first recommended products by applying the text information to an AI learning model stored in the database. Also, the controller 330 may control the communication unit 320 to transmit information on the first recommended product set to the device. Also, the control unit 330 may determine a second recommended product set including a plurality of second recommended products by applying the text information, the information on the selected product, and the interested product image information to the AI learning model. . Also, the controller 330 may control the communication unit 320 to transmit information on the second recommended product set to the device.

The artificial intelligence module may generate a predetermined threshold (eg, a first threshold, a second threshold) based on the artificial intelligence network. Also, the artificial intelligence module may set the predetermined threshold by using machine learning on big data stored in the database unit 310 .

In addition, the artificial intelligence module uses the big data stored in the database unit 310 of the server 30 as an input variable to learn the artificial intelligence network, specifically, using a deep learning technique, which is a field of machine learning. Learning is performed so that an accurate correlation can be derived.

In addition, the artificial intelligence module may calculate the weight of a plurality of inputs in the function through deep learning through learning. In addition, various models such as a Recurrent Neural Network (RNN), a Deep Neural Network (DNN), and a Dynamic Recurrent Neural Network (DRNN) may be used as an AI network model used for such learning.

Here, RNN is a deep learning technique that simultaneously considers current data and past data. A recurrent neural network (RNN) represents a neural network in which connections between units constituting an artificial neural network constitute a directed cycle. Furthermore, various methods may be used for a structure capable of constructing a recurrent neural network (RNN), for example, a fully recurrent network, a hopfield network, an Elman network, an ESN (Echo). State network), long short term memory network (LSTM), bi-directional RNN, continuous-time RNN (CTRNN), hierarchical RNN, and secondary RNN are representative examples. In addition, as a method for learning a recurrent neural network (RNN), methods such as gradient descent, Hessian Free Optimization, and Global Optimization Method may be used.

In addition, the server 30 controls and outputs the number of lists for recommended products based on the residual power of the terminals 10 and 20 of the customer, that is, the user who wants to purchase the product on the platform according to an embodiment of the present invention. can The terminals 10 and 20 may transmit residual power information indicating the residual power of the terminals 10 and 20 to the server 30 , and the communication unit 320 of the server 30 may transmit the residual power information of the terminals 10 and 20 to the terminals 10 and 20 . ) may receive residual power information indicating the residual power of .

The server 30 may set a first threshold value for residual power, a second threshold value lower than the first threshold value, and a third threshold value lower than the second threshold value. In addition, the server 30 allows the terminals 10 and 20 to operate in the first operation mode when the residual power information indicating the residual power of the terminals 10 and 20 indicates power higher than the first threshold value. and control to further output a dynamic image (or video) for information (eg, summary information, advertisement, etc.) on products included in the list of recommended products. In addition, when the residual power information indicating the residual power of the terminals 10 and 20 indicates power that is less than the first threshold and greater than or equal to the second threshold, the server 30 is configured to provide the second It can be controlled to operate as an operation mode, and can be controlled to output as a list of recommended products including only products that satisfy a predetermined criterion (eg, n sales index, n sales, etc.). Through this, the server 30 outputs a smaller number of products as recommended products. In addition, the server 30 allows the terminals 10 and 20 to operate in the third operation mode when the residual power information indicating the residual power of the terminals 10 and 20 indicates a power lower than the second threshold value. control, and output only the products that satisfy the predetermined criteria among the products with purchase histories generated by existing customers having the same user personal information as the users of the terminals 10 and 20 as a list of recommended products can be controlled Here, the user's personal information may be, for example, at least one of the user's age, gender, region, marital status, and child status. In other words, in the third operation mode, only the products for which a purchase history exists to a certain extent by customers who have a certain degree of relevance with the users of the terminals 10 and 20 among existing customers are output as recommended products. The smallest number of products among the modes may be output as recommended products, and through this, the third operation mode may be implemented as a low power mode.

In addition, the method of providing a platform according to an embodiment of the present invention may be implemented using at least one adjacent terminal adjacent to the terminals 10 and 20 . Here, the at least one adjacent terminal may mean a terminal used by users other than the user of the terminals 10 and 20, and the at least one adjacent terminal communicates between the terminals 10 and 20 and the terminal. Through (D2D; device-to-device), predetermined information and/or signals may be mutually transmitted/received. Here, the terminal-to-device communication operates based on LTE standard content (eg, TS 36.300, 36.311 to 36.214, etc.) or 5G standard content (eg, TS 38.300, 38.311 to 38.214, etc.) of the 3rd Generation Partnership Project (3GPP), an international communication standard organization. can be

For example, the at least one adjacent terminal may transmit a first synchronization signal to the terminals 10 and 20 and may transmit a second synchronization signal to a management server that is the server 30 . The terminals 10 and 20 may return a first response signal (eg, ACK/NACK) to the at least one adjacent terminal in response to the first synchronization signal. Here, ACK (acknowledge) may indicate a message that allows synchronization with the at least one neighboring terminal, and NACK (non-acknowledge) is a message that does not allow (or rejects) synchronization with the at least one neighboring terminal. can represent For example, the terminals 10 and 20 determine whether i) the residual power of the terminals 10 and 20 exceeds a predetermined criterion, or ii) whether the residual power of the at least one adjacent terminal exceeds a predetermined criterion. Whether more than one adjacent terminal exists, or iii) whether the at least one adjacent terminal has a history (or purchase history) of using the platform according to an embodiment of the present invention for a predetermined period, or iv) the terminal 10 , 20) may determine whether to include ACK or NACK in the response signal based on whether there is a history (or purchase history) of using the platform according to an embodiment of the present invention for a predetermined period. Also, the server 30 may return a second response signal (eg, ACK/NACK) to the at least one neighboring terminal in response to the second synchronization signal. For example, the server 30 determines whether i) whether the residual power of the server 30 exceeds a predetermined criterion, or ii) a neighboring terminal whose residual power exceeds a predetermined criterion among the at least one neighboring terminal. whether there is, or iii) whether to include ACK in the response signal based on whether the at least one neighboring terminal has a history (or purchase history) of using the platform according to an embodiment of the present invention for a predetermined period of time Alternatively, it may be determined whether to include NACK.

At least one adjacent terminal including the ACK from the terminals 10 and 20 and/or the server 30 may perform a synchronization operation with the terminals 10 and 20 and/or the server 30 . When there is at least one adjacent terminal synchronized, the server 30 does not directly transmit information on the recommended product to the terminals 10 and 20, but uses the at least one adjacent terminal as a relay device. can be utilized In other words, when the server 30 transmits information on the recommended product to the at least one neighboring terminal, the at least one neighboring terminal transmits the information on the received recommended product to the terminals 10 and 20 can

Alternatively, the recommended product may be determined based on a search history and/or a purchase history related to at least one synchronized adjacent terminal. The at least one neighboring terminal may share its search history and/or purchase history with at least one other neighboring terminal and/or the terminals 10 and 20 through inter-terminal communication. Based on the shared search history and/or purchase history, the recommended product may be selected (or determined) by the terminals 10 and 20 (not the server 30) and/or at least one adjacent terminal. Through this, it is possible to actively utilize the performance of the terminal, which has recently become high-end, and in some cases, it has a technical meaning in that it is possible to reduce the load of the server 30 .

In addition, an embodiment of the present invention synchronizes with (at least one) adjacent terminals capable of transmitting and receiving predetermined information and/or signals through device-to-device (D2D), and the (at least one) ) By determining and outputting recommended products based on the search history and/or purchase history related to the adjacent terminal, the user of the terminals 10 and 20 and the living radius (or living area or life pattern) are similar to customer information Because it can be referred to, it is meaningful in that it can provide a more customized service.

However, in preparation for the case in which the above-described recommended product based on communication between terminals is not suitable for the actual user, the terminals 10 and 20 may search history and In order to output a button (or banner or object) for initializing information on / or purchase history through the display, the server 30 may generate a related command and transmit it to the terminals 10 and 20 . Accordingly, the user of the terminal 10 , 20 may previously search for (at least one) adjacent terminals by selecting the button (or banner or object) through the display (or touch pad) of the terminal 10 , 20 . Information on the history and/or purchase history is deleted, and recommended products (eg, the first recommended product, the first recommended product, the a second recommended product, etc.) may be determined or printed.

In addition, the server 30 according to an embodiment of the present invention may further include a first color information obtaining unit and an object information obtaining unit.

The camera module may be connected to the camera device to obtain, analyze and/or process first image information photographed through the camera device.

For example, the camera device may be installed on a street through which a large number of unspecified populations (eg, a plurality of pedestrians) pass, a bus stop, a subway entrance, inside a department store, and the like. In addition, the camera device may be installed at an angle for photographing a plurality of pedestrians passing in the place where the camera device is installed.

The first image information may be a plurality of photos (or still images) taken during a predetermined period or a moving image (or a dynamic image (eg, gif)) captured during a predetermined period.

The first color information obtaining unit may extract and/or obtain first color information from the first image information obtained through the camera module.

Meanwhile, since the first image information includes not only the color of the clothes worn by the pedestrian, but also the background or the part corresponding to the pedestrian's body, it is necessary to exclude it. Accordingly, the first color information obtaining unit may, for example, divide the first image information into a plurality of small images, that is, a plurality of first sub-images, and may divide the first image information into a plurality of first sub-images for a predetermined period (eg, ; n minutes, n hours, etc.) may exclude the first sub-image having no change in color. In other words, when determining and/or selecting a recommended product (eg, the first recommended product, the second recommended product, etc.), information on the excluded first sub-image portion may not be considered.

Meanwhile, the first color information obtaining unit may extract a plurality of colors from a plurality of pieces of first image information, and among them, the color extracted as the most result is finally generated, extracted, and/or obtained as the first color information. can

The object information obtaining unit may obtain the first object information by extracting an object included in the first image information obtained through the camera module. Object information acquisition unit HOG (Histogram of Oriented Gradient), Haar-like feature, Co-occurrence HOG, LBP (local binary pattern), FAST (features from accelerated segment test), etc. Through various algorithms for object feature extraction, the From the image (or first image information) acquired through the camera device and/or camera module, it is possible to obtain an outline of an object in an image or a text that can be extracted from the object (or an outline (or outline) indicating information). . In addition, the controller 330 and/or the object information acquisition unit recognizes (or identifies) an object in the acquired image (or first image information) through image analysis, and performs masking processing on an area corresponding to the recognized object. Masking image information may be generated. At this time, the masking process is, for example, a differential imaging method, a Model of Gaussian (MOG) algorithm using Gaussian Mixture Models (GMM), a codebook algorithm, etc. Object through background modeling to separate an object and a background The first object information may be extracted and/or obtained by using a method of extracting an object candidate region corresponding to .

In addition, the controller 330 may generate a command for controlling the operations of the above-described camera module, the first color information obtaining unit, and the object information obtaining unit.

In addition, the server 30 may further include a second color information acquisition unit and a recommended product selection unit.

The communication unit 320 may be connected to the image processing server 210 , the social network server 230 , and/or at least one terminal 10 , 20 by wire/wireless to transmit/receive predetermined information and/or signals. . For example, the communication unit 320 may receive the first image information, the first color information, and/or the first object information from the image processing server 210 , and the social network server 230 from the social network server 230 . Second image information, etc. uploaded to may be received.

The second image information may be a photo (or still image) or a moving image (or a dynamic image (eg, gif)) uploaded to a social network operated by the social network server 230 .

The second color information obtaining unit may extract and/or obtain second color information from the received second image information.

In addition, the control unit 330 and/or the second object information obtaining unit may extract only information about a product existing in the received second image information area, and the control unit 330 and/or the second object information obtaining unit for this purpose Various algorithms for object feature extraction, such as Histogram of Oriented Gradient (HOG), Haar-like feature, co-occurrence HOG, LBP (local binary pattern), FAST (features from accelerated segment test), etc. may be used. The controller 330 may obtain an outline of an object in an image or a letter (or an outline (or outline) indicating information) that can be extracted from the object from the second image information. In addition, the control unit 330 and/or the second object information obtaining unit recognizes (or identifies) an object in the second image information through image analysis, and performs masking processing on an area corresponding to the recognized object to obtain masking image information. can create At this time, the masking process is, for example, a differential imaging method, a Model of Gaussian (MOG) algorithm using Gaussian Mixture Models (GMM), a codebook algorithm, etc. Object through background modeling to separate an object and a background A method of extracting an object candidate region corresponding to .

In addition, the second color information obtaining unit extracts and/or extracts the second color information using only the information about the product (existing in the second image information area) extracted by the control unit 330 and/or the second object information obtaining unit. or can be obtained.

Meanwhile, the second color information obtaining unit may extract a plurality of colors from a plurality of pieces of second image information, and the color extracted as the most result among them may be finally generated, extracted, and/or obtained as the second color information. can

The recommended product selection unit is a recommended product (eg, the first recommended product, the second recommended product, etc.) based on at least one of the first image information, the second image information, the first color information, and/or the second color information. ) can be determined and/or selected.

The recommended product selection unit may select, for example, a clothing product corresponding to a color indicated by the first color information and/or a color indicated by the second color information as a recommended product (eg, the first recommended product, the second recommended product, etc.) This can be determined and/or selected and output. On the other hand, the first color information and the second color information may represent a specific color as a code (eg, XJ3Q7_27M2A, AB2Q101T5P, GZXSC_00194, etc.) can As an example, when the first color code indicated by the first color information and the second color code indicated by the second color information are exactly the same (that is, when the 5-letter alphabet and the 5-letter number are the same), the recommendation The product selector operates in the first recommendation mode, and selects clothing corresponding to the color indicated by the first color code (or second color code) as a recommended product (eg, the first recommended product, the second recommended product, etc.). can be printed out. For example, when the first color code indicated by the first color information and the second color code indicated by the second color information are more than half the same (that is, when more than half of the five-letter alphabet and the five-letter number are the same ( Example: XJ3Q7_27M2A and XJ0A9_27M2A)), the recommended product selection unit operates in the second recommendation mode, and a color corresponding to an intermediate between the color indicated by the first color code and the color indicated by the second color code (or the color corresponding to the average or Clothing corresponding to the color corresponding to the median value of the code) may be output as a recommended product. As another example, when the first color code indicated by the first color information and the second color code indicated by the second color information are completely different (that is, when both the five-letter alphabet and the five-letter number are different), the The recommended product selector operates in the third recommendation mode, and recommends specific clothing based on the sales ranking (or the number of sales or preference or reviews) without considering the color (eg, the first recommended product, the second recommendation) products, etc.).

Also, the controller 330 may generate a command for controlling the operations of the second color information obtaining unit, the recommended product selecting unit, and the communication unit 320 .

In addition, the communication unit 320 may also acquire location information (eg, first location information) of the camera device that photographed the first image information. To this end, the image processing server 210 may generate information (eg, a plurality of first location information) indicating positions of a plurality of camera devices that have photographed the first image information, and transmit it to the server 30 . Also, the server 30 may acquire location information (eg, at least one piece of second location information) of the at least one terminal 10 , 20 .

In addition, the server 30 uses only at least one second location information about at least one terminal 10 and 20 using the platform of the present invention and first image information obtained by a camera device located within a predetermined distance. A recommended product (eg, the first recommended product, the second recommended product, etc.) may be determined and/or selected. Through this, the present invention can be provided with a recommended product referring to the clothes of pedestrians in the same/similar living area (living radius) as the user using the platform. Through this, a user using the platform of the present invention can be provided with a recommended product according to a fashion, and a service can be provided so that the user can also wear clothes (clothes) according to the fashion.

In addition, the server 30 is obtained by the camera device only when the distance (eg, distance information) between at least one terminal 10 , 20 using the platform of the present invention and the camera device satisfies a predetermined criterion. It may operate to determine the recommended product (eg, the first recommended product, the second recommended product, etc.) using the first image information and/or the first color information. For example, the distance information may be a difference (eg, a linear distance difference, a movement path difference, etc.) between the GPS location information of the at least one terminal 10 , 20 and the information on the location where the camera device is installed. As another example, the distance information includes a transmission time (reference signal (or broadcast signal) of a reference signal (or a broadcasting signal) transmitted from the at least one terminal 10 , 20 recorded by the camera device. The time transmitted from the at least one terminal 10, 20) and the reception time (the time the reference signal (or broadcast signal) transmitted from the at least one terminal 10, 20 was received (or arrived) at the camera device ) can be determined based on information indicating the difference between

As described above, an embodiment of the present invention provides a system ( 1 ) for providing a platform, comprising: an image processing server including a camera module and a first processor; A system (1) including a social network server operating a social network service, a platform server including a second processor operating the platform, and terminals 10 and 20 of users using the platform are proposed.

The camera module is a first including a plurality of still images and a plurality of dynamic images through at least two or more camera devices installed at at least two or more of a bus stop, a subway entrance, and an inside of a department store and installed at an angle for photographing a pedestrian Image information can be obtained.

The first processor acquires the first image information through the camera module, and among HOG (Histogram of Oriented Gradient), Haar-like feature, LBP (local binary pattern), and FAST (features from accelerated segment test) Through at least two or more object extraction algorithms, first color information may be extracted from a plurality of still images and a plurality of dynamic images in the first image information.

The second processor receives a signal indicating the user's personal information and information indicating the residual power of the terminals 10 and 20 from the terminals 10 and 20, and second image information from the social network server obtains, receives the first color information from the first processor, and obtains second color information from the second image information through an object extraction algorithm of at least two of HOG, Haar-like feature, LBP, and FAST extracting, determining a recommended product based on the first color information and the second color information, and generating a command instructing to output information indicating the determined recommended product through the terminals 10 and 20, It is possible to control transmission to a neighboring terminal located at a distance capable of performing device-to-device (D2D) communication with the terminals 10 and 20 .

The first color information is based on the most extracted data among colors extracted from a plurality of still images and a plurality of dynamic images through at least two object extraction algorithms of HOG, Haar-like feature, LBP, and FAST. is determined, and matches a first color code consisting of 6 codes including 5 alphabets and 5 Arabic numerals, and the second color information includes 5 alphabets and 5 Arabic numerals 5 alphabets and 5 Arabic numbers corresponding to each of the first color code and the second color code are arbitrarily set by the platform server, and the platform The server includes a recommended product selection unit, wherein the recommended product selection unit includes a first color indicated by the first color code when the 10 codes in the first color code and the 10 codes in the second color code are all the same. operates in the first recommendation mode for determining clothing corresponding to the recommended product as the recommended product, and when 10 codes in the first color code and 10 codes in the second color code are not all the same, but more than half are the same a second recommendation mode in which a third color other than the first color indicated by the first color code and the second color indicated by the second color code is selected and the recommended product is determined based on the third color. In operation, if all ten codes in the first color code and the ten codes in the second color code are different, the recommended product is based on the sales ranking, sales volume, preference, and the number of reviews without considering the color. It may be characterized in that it operates in the third recommended mode determined by .

The command includes information corresponding to the first output mode, the second output mode, or the third output mode, and the first output mode is determined when the residual power of the terminals 10 and 20 is higher than the first threshold value. It is performed, and is a mode for further outputting a dynamic image representing a summary and advertisement for the recommended product, and the second output mode is when the residual power of the terminals 10 and 20 is less than or equal to the first threshold and a second threshold. It is performed in the case of more than one, and is a mode for outputting only products that satisfy a specific sales index and specific sales volume among the recommended products, and the third output mode is a mode in which the residual power of the terminals 10 and 20 is lower than the second threshold value. It may be performed in this case, and it may be characterized in that it is a mode for outputting only products having a history of purchases by existing customers having personal information corresponding to the user's personal information among the recommended products.

The terminals 10 and 20 receive a synchronization signal from the adjacent terminal, and in response to the synchronization signal, indicate that D2D synchronization between the terminals 10 and 20 and the adjacent terminal is allowed. A response signal including an ACK (acknowledge) message or a non-acknowledge (NACK) message indicating that D2D synchronization with the adjacent terminal is not permitted is transmitted to the adjacent terminal, and the terminal (10, 20) The residual power of the terminal exceeds the first power threshold, the residual power of the adjacent terminal exceeds the second power threshold, the adjacent terminal has a history of using the platform operated by the platform server, and the terminals 10 and 20 ), it may be characterized in that the ACK message is included in the response signal only when there is a history of using the platform for a predetermined period of time by the user.

The adjacent terminal, in response to a response signal including the ACK message received from the terminals 10 and 20, delivers the information indicating the recommended product received from the platform server to the terminals 10 and 20, , the terminals 10 and 20 may output information indicating the recommended product received from the adjacent terminal through the display.

And the system 1 of an embodiment of the present invention, for example, may include a central server 110, the central server 110 may be implemented in the form of a management server. In addition, the system 1 may further include terminals 10 and 20 .

In addition, the system 1 may further include a camera device (eg, CCTV, surveillance camera, observation camera, etc.), a camera module, a weight recognition sensor, and a product advertisement output display (eg, an electric billboard, an advertisement board, etc.). In addition, the above-described devices, sensors, and modules may be operated by the server 30 and/or the controller 330 .

For example, the product advertisement output by the server 30 may be displayed through the product advertisement output display, and a camera device and a weight recognition sensor may be installed near the product advertisement output display. For example, while the product advertisement is displayed through the product advertisement output display, the camera device may acquire an image by photographing a place where people looking at the product advertisement output display are located, and the camera module may From the acquired image, it is possible to recognize people (eg, passers-by, objects to be observed, etc.) in the image, or faces and eyes (or pupils) of the people.

In addition, the camera module recognizing the people or the eyes (or pupils) of the people in the image, HOG (Histogram of Oriented Gradient), Haar-like feature, Co-occurrence HOG, LBP (local binary pattern), FAST (features) from accelerated segment test) by using various algorithms for object feature extraction, etc. . In addition, the camera module may recognize (or identify) an object in the acquired image through image analysis, and mask an area corresponding to the recognized object to generate masking image information. At this time, the masking process is, for example, a differential imaging method, a Model of Gaussian (MOG) algorithm using Gaussian Mixture Models (GMM), a codebook algorithm, etc. Object through background modeling to separate an object and a background A method of extracting an object candidate region corresponding to .

For example, in the acquired image, the control unit 330 may recognize that i) people in the image stop or ii) the movement speed of the people is slowed down, or iii) the faces, eyes (or pupils or gazes of the people) in the acquired image. ) can be recognized (or tracked) facing the product advertisement output display. Also, for example, in the acquired image, the control unit 330 may i) a first time when people in the image stop (eg, when the moving speed is 0), ii) start decelerating the moving speed of the people Thus, a second time required to reach the lowest speed, iii) a third time for recognizing that the people's faces and eyes (or pupils or gazes) are facing the product advertisement output display may be obtained.

Here, the first time may be determined according to the object recognition result obtained by the camera module, but may be determined based on at least one weight recognition sensor provided on the floor around the wall where the product advertisement output display is installed. may be For example, at least one passerby may step on a plurality of weight recognition sensors sequentially while walking around the product advertisement output display. In this case, the controller 330 recognizes the walking speed of the at least one passerby based on the time each of the plurality of weight recognition sensors is stepped on and the interval, distance, etc. between the plurality of weight recognition sensors, or the at least one passerby stops By recognizing that, the first time can be obtained.

In addition, the control unit 330 and/or the camera module is configured to obtain the first time, the second time, and the third time, based on the object recognition of the passerby to be photographed, the age (age) of the passerby and/or Or it can recognize gender. In this case, the control unit 330 may match the age and/or gender with the first time, the second time, and the third time and store it as information about the passerby. The controller 330 may generate a product advertisement list for each group by further considering the information on the passerby. For example, the time (ie, the first time) that a passerby recognized as a 'twenties' or 'female' by the controller 330 and/or the camera module stopped in the vicinity of the product advertisement output display is the reference time (eg; If longer than the first reference time), the product advertisement output through the product advertisement output display during the first time period may be controlled to be added to the product advertisement list for each group for '20s' and 'female'. Also, when the passerby is wearing a uniform indicating a specific occupation, the controller 330 and/or the camera module may further recognize the occupation of the passerby. In this case, the controller 330 and/or the camera module matches the product advertisement output through the product advertisement output display for the first time (or the second time or the third time) to 'age', 'gender', and 'occupation'. It can also be controlled to be added to the product advertisement list for each group.

Also, the controller 330 may acquire at least one of the first time, the second time, and the third time by considering signals/information acquired by the camera device, the camera module, and the weight recognition sensor in a complex manner.

The control unit 330 is configured to output at least one product advertisement output through the product advertisement output display when at least one of the first time, the second time, and the third time is longer than a predetermined reference time. can be set as the product advertisement list for each user group or added to the product advertisement list for each user group (the first requirement).

In addition, an alarm device (eg, LED lamp, lighting, speaker) may be additionally installed around the product advertisement output display, and when the first requirement is satisfied, a predetermined event may be executed through the alarm device. For example, the event may include an event in which the volume of the speaker is set higher than a predetermined volume, the LED lamp emits light, or the screen brightness of the product advertisement output display is set higher. Through this, when a product advertisement that many people are interested in is output, it is possible to provide a method of inducing more people to be interested.

In addition, the control unit 330, among product advertisements included in a page output by at least one user, includes a category in which a ratio of product advertisements included in a page output by the at least one user by category occupies a preset ratio or more. Whether it is a product advertisement (second requirement), the ratio between the time output and maintained by the at least one user among the pages output by the at least one user and the time the at least one user accesses the online web page Whether it is a product advertisement included in a page occupying more than this preset ratio (third requirement), the ratio of the number of times of output of the page output by the at least one user among the pages output by the at least one user is preset Creating a product advertisement list for each user group for a plurality of user groups by further considering at least one of whether the product advertisement is included in the page occupying more than the ratio (fourth requirement), or displaying the product advertisement for each user group It can be controlled to be added to the product advertisement list.

For example, the control unit 330 may add only product advertisements satisfying all of the first to fourth requirements to the product advertisement list for each user group or set it as a candidate product advertisement that can be recommended as a customized product advertisement. .

Also, the control unit 330 may set the reference time to a higher value as the number of passersby recognized (or identified) through the camera device, the camera module, and/or the weight recognition sensor increases, for example. It can also be reset to (and/or to a lower value). This is because, when the number of passersby is too large, the slow moving speed of passersby does not reduce the moving speed to view the product advertisement output through the product advertisement output display, but simply reduces the moving speed because the space is complicated (or crowded). taking into account that it may be

Also, in setting the reference time, the controller 330 may separately set a first reference time corresponding to the first time, a second reference time corresponding to the second time, and a third reference time corresponding to the third time. .

In addition, the server 30 may recommend the first recommended product and/or the second recommended product from among the products included in the product advertisement list for each user group corresponding to the user of the terminals 10 and 20 .

In addition, the system 1 according to an embodiment of the present invention includes i) terminals 10 and 20 and ii) a server 30 that operates the online web page and transmits and receives signals to and from the terminals 10 and 20. may include The server 30 generates a product advertisement list for each group based on the information on the online web page and information on a plurality of observation objects that have output the online web page, and from the group-specific product advertisement list, the terminal The product advertisement corresponding to the user information for the user (10, 20) may be set as a customized product advertisement and delivered to the terminals 10 and 20.

The information on the online web page includes information on categories of product advertisements included in the pages output by the plurality of observation objects, information on the time the pages output by the plurality of observation objects are maintained, and the plurality of information on the number of times the page output by the observation object of It includes information on age, gender, and occupation registered in the process of signing up for a site operated on the web page, and the information on the occupation is the member's occupation in the site operated on the online web page. The plurality of observation objects among a plurality of types of occupation categories set in advance for classification may be occupation categories registered in the process of subscribing to a site operated on the online web page.

In addition, the server 30 creates a plurality of groups by creating groups by age, gender, and occupation for the plurality of observation objects, and based on the information on the online web page, there is an interest in the plurality of groups. By determining at least one product advertisement that is determined to be one, it is possible to control to generate the product advertisement list for each group for the plurality of groups.

Based on this, the system of the present invention provides a system for providing product advertisements to a specific user based on an online web page, comprising: a product advertisement output display installed in a specific place to output product advertisements; Controls a camera device installed at a location for photographing a passerby in the specific place, acquires an image obtained from the camera device, and displays a Histogram of Oriented Gradient (HOG), Haar-like feature, LBP (local binary pattern), and extracts an object corresponding to the passerby using at least one object extraction algorithm of features from accelerated segment test (FAST), wherein the age, gender, and a camera module that acquires job estimating information, wherein the job estimating information is determined based on a uniform of the passerby; a plurality of weight recognition sensors installed in the specific place; terminals (10, 20) operated by the specific user; and a server 30 that operates the online web page and transmits and receives signals to and from the product advertisement output display, the camera module, the weight recognition sensor, and the terminals 10 and 20 .

The server 30, (a) monitors information on a plurality of first pages output by a plurality of users connected to the online web page, the information on the first page is the plurality of first pages Information on the category of product advertisements included in the page, information on the time maintained in the output state of the plurality of first pages, information on the number of times of output of the plurality of first pages, and information on the plurality of first pages Includes information on whether to purchase the included product advertisement, and (b) dividing the plurality of users into a plurality of user groups based on the information on the plurality of first pages and the information on the plurality of users and generating a product advertisement list for each of the plurality of user groups, wherein the information on the plurality of users includes information on age groups registered in the process of subscribing to a site operated by the plurality of users on the online web page; Determining a product advertisement to be recommended to the specific user connected to the online web page based on the product advertisement list for each of the plurality of user groups, including information on gender and occupation; and (d) outputting information on the determined product advertisement through a page output from the device of the specific user, thereby providing a customized product advertisement for the specific user.

The server 30, based on the image, the at least one object extraction algorithm, and at least one weight recognition signal obtained by the plurality of weight recognition sensors, a first time at which the passerby stops and the passerby Acquires a second time taken to reach the minimum speed from starting to decrease, and recognizes that the eye of the passerby is facing the product advertisement output display based on the image and the at least one object extraction algorithm control to output an event related to an LED lamp and a speaker installed in the product advertisement output display when the first time is longer than a first reference time, and the first time If it is determined that the first time period is longer than the first reference time, the second time period is longer than the second reference time period, and the third time period is longer than the third reference time period, the product advertisement output for the first time period is output through the display. adding a product advertisement to a product advertisement list for a user group corresponding to information for estimating age, gender, and occupation of the passerby, and the second reference time is an object amount corresponding to the passerby extracted from the image It may be characterized in that it is reset based on the amount of change of .

According to various examples of the present disclosure described above, a C2C (Consumer-to-Consumer) and/or B2C (Business to Consumer) commerce platform based on overseas on/offline linkage may be provided. In particular, a seller-based overseas product upload, delivery, and customs clearance system may be provided, and accordingly, overseas products may be sold and purchased at a low price compared to purchasing a luxury product at a brand shop.

Embodiments of the present invention disclosed in the present specification and drawings are merely provided for specific examples in order to easily explain the technical contents of the present invention and help the understanding of the present invention, and are not intended to limit the scope of the present invention. That is, it will be apparent to those of ordinary skill in the art to which the present invention pertains that other modifications can be implemented based on the technical spirit of the present invention. In addition, each of the above embodiments may be operated in combination with each other as needed. For example, all embodiments of the present invention may be implemented by the system 1 , the terminals 10 , 20 and the server 30 of the present invention in combination with each other in parts.

In addition, the method of controlling the system 1, the terminals 10, 20, and the server 30 of the present invention may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. .

As such, various embodiments of the present invention may be embodied as computer readable code on a computer readable recording medium in a particular aspect. A computer readable recording medium is any data storage device capable of storing data that can be read by a computer system. Examples of computer readable recording media include read only memory (ROM), random access memory (RAM), and compact disk-read only memory (CD-ROM). ), magnetic tapes, floppy disks, optical data storage devices, and carrier waves (such as data transmission over the Internet). The computer readable recording medium may also be distributed over network-connected computer systems, so that the computer readable code is stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for achieving various embodiments of the present invention may be easily interpreted by programmers skilled in the field to which the present invention is applied.

In addition, it will be appreciated that the apparatus and method according to various embodiments of the present invention can be realized in the form of hardware, software, or a combination of hardware and software. Such software may contain, for example, a volatile or non-volatile storage device such as a ROM, or a memory such as, for example, RAM, a memory chip, device or integrated circuit, whether erasable or rewritable, or For example, the storage medium may be stored in an optically or magnetically recordable storage medium such as a compact disk (CD), DVD, magnetic disk or magnetic tape, and at the same time, a machine (eg, computer) readable storage medium. The method according to various embodiments of the present invention may be implemented by a computer or portable terminal including a control unit and a memory, and such memory is suitable for storing a program or programs including instructions for implementing embodiments of the present invention. It will be appreciated that this is an example of a suitable machine-readable storage medium.

Accordingly, the present invention includes a program including code for implementing the apparatus or method described in the claims of the present specification, and a machine (computer, etc.) readable storage medium storing such a program. Further, such a program may be transmitted electronically over any medium, such as a communication signal transmitted over a wired or wireless connection, and the present invention suitably includes the equivalent thereof.

The embodiments of the present invention disclosed in the present specification and drawings are merely provided for specific examples to easily explain the technical contents of the present invention and help the understanding of the present invention, and are not intended to limit the scope of the present invention. In addition, the embodiments according to the present invention described above are merely exemplary, and it will be understood by those skilled in the art that various modifications and equivalent ranges of embodiments are possible therefrom. Accordingly, the true technical protection scope of the present invention should be defined by the following claims.

Claims (1)

In the system for operating the overseas direct purchase platform,
a first user terminal and a second user terminal;
a server for operating an overseas direct purchase platform executed in the first user terminal and the second user terminal;
billboard displays installed outdoors; and
a camera module including a plurality of cameras installed near the billboard display; including,
The server is
Receive product image information from the first user terminal, and perform image correction for a first object for a product included in the product image information and a second object excluding the product at least one of edge extraction, corner extraction, or feature point extraction Generate and store corrected product image information by performing an image extraction algorithm based on one,
Controlling the corrected product image information to be output on the billboard display,
HOG (Histogram of Oriented Gradient), Haar-like feature, Co-occurrence HOG to image information obtained by the camera module photographing an unspecified number around the billboard display while the corrected product image information is output on the billboard display , extracting a third object for the unspecified number based on at least one of a local binary pattern (LBP), and features from accelerated segment test (FAST),
identifying the movement of the unspecified plurality and the gaze of the unspecified number from the third object,
From the movement of the unspecified plurality, a first time at which the unspecified number is stopped and a second time at which the movement speed of the unspecified number is decelerated are calculated;
Calculating a third time for the unspecified number to look at the billboard display while the corrected product image information is output on the billboard display based on the unspecified number of gazes,
When the first time is longer than a first reference time, the second time is longer than a second reference time, and the third time is longer than a third time, the corrected product image information is control to be included in the list,
Receives first category information about the product from the first user terminal, automatically matches the first category information to pre-stored second category information, and the second category information is a harmonized system code (HS) ,
Receives user information of the second user terminal from the second user terminal, and the user information of the second user terminal includes at least one of gender information, age information, user tendency information, and product preference information,
generating preference product recommendation information and product recommendation push based on preference weights according to user information of the second user terminal, and transmitting the preference product recommendation information and product recommendation push to the second user terminal; At least one of the product recommendation information and the product recommendation push includes the corrected product image information included in the predetermined list,
Receive purchase request information for the product from the second user terminal, and transmit a customs EDI (electronic data interchange) form to the first user terminal based on the purchase request information and the second category information,
Automatically matching the purchase request information and the second category information to a first attribute corresponding to the purchase request information and the second category information among a plurality of attributes included in the customs EDI form,
Receive input information on a second attribute other than the first attribute among the plurality of attributes from the second user terminal,
matching the input information with the second attribute to generate customs document information,
Transmitting the customs document information to an external server,
The server is
At least one of a reference brand text and a reference brand image is preset for each of the plurality of brands,
Extracting the first object for the product based on at least one of HOG, Haar-like feature, co-occurrence HOG, LBP, and FAST in the product image information,
Identifies at least one of a brand identification text and a brand identification image included in the first object for the product,
By applying at least one of a differential imaging method, a Model of Gaussian (MOG) algorithm using Gaussian Mixture Models (GMM), and a codebook algorithm to the product image information, the second object excluding the product is extracted,
i) a similarity test is performed on the reference brand text and the brand identification text to exceed a preset first similarity threshold; Only when the similarity threshold is exceeded, the corrected product image is included in at least one of the product recommendation information and the product recommendation push,
system.

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