KR102290855B1 - Digital sinage system - Google Patents

Abstract

Disclosed is a digital signage system that is the technical idea of the present invention. According to an embodiment of the present disclosure, a server allowing a web or smart phone connection to allow registration of menu information; and a display connected to the server to download the menu information, and a processor for processing and outputting the menu information according to the store customer information. It may include at least one of face recognition data.

Description

Digital signage system {DIGITAL SINAGE SYSTEM}

The present disclosure relates to a digital signage system. Specifically, the present disclosure may provide a digital signage system that provides menu information.

The store displays a menu listing the service items to offer to users. The user looks at the menu displayed in the store, decides the service item he wants, and places an order. The store owner may select a service item determined by the user from service items registered in the menu and process the order as payment. The menu displayed in the store becomes important information to the user or owner, and without such a menu, the store owner cannot operate the store smoothly.

Since each user has a different personality and different purchasing propensity, providing a uniform menu can increase user fatigue. Therefore, a system that provides menu information by recognizing a user's purchasing propensity and personality is required.

Registration No. 10-0997653, Digital Signage System Registration No. 10-1987999, Peripheral Device Interlocking Digital Signage System

The present disclosure may provide a digital signage system that provides menu information. Specifically, the present disclosure may provide a digital signage system that provides menu information according to a user's purchasing propensity and personality.

Objects of the present disclosure are not limited to the objects mentioned above, and other objects not mentioned will be clearly understood from the description below.

According to one aspect of the present invention, the problem is solved by providing a digital signage system comprising the features of claim 1 . Therefore, according to the present invention, the server allows the web or smart phone access to allow the registration of menu information; and a display connected to the server to download the menu information, and a processor for processing and outputting the menu information according to the store customer information. It may include at least one of face recognition data.

In addition, the processor of the display may convert the face recognition data and personal information corresponding to the face recognition data to object names into objectified personal information.

In addition, the store customer information may further include a user's fashion style by camera recognition, and the fashion style may include at least one of a hairstyle, clothes, and shoes.

In addition, the processor of the display assigns a weight to the fashion style of the clothes, receives information about the user's purchasing propensity or personality from an external server, and receives the weighted weight from the external server for purchasing propensity or personality trends Sensitivity can be applied.

In addition, the store customer information further includes a customer type of a family member, an individual or a company colleague, and the processor of the display determines a member age group based on a body size or facial wrinkles by camera recognition of a customer visiting the store, In consideration of the determined member age group, the guest type is determined according to whether the conversation is conducted between the guests, and the menu information corresponding to the next determined guest type is stored based on the stored big data by storing the order history of the determined guest type. can be displayed

In addition, the processor of the display may determine the menu information in consideration of at least one of clothes, drinks, seasons, and time zones.

In addition, further comprising a camera, the processor of the display processes the image acquired through the camera to group the guests into at least one group of family, individual, company colleagues, and friends, and for the group, a first according to the number of people An order may be determined, a second order according to purchasing power may be determined for the group, and the menu information may be processed based on the first order and the second order.

Throughout this description and claims, reference has been made only to for a better understanding of the essential concepts of the invention, but within all aspects of the invention the invention also encompasses further further embodiments, of course. As will be readily apparent to one of ordinary skill in the art, the methods, apparatus and systems according to the present invention are equally applicable to a digital signage system.

Preferred embodiment of the invention

Preferred features of the invention, which may be applied alone or in combination, are discussed in the following as well as in the appended claims.

Preferably, the server allows the web or smart phone access to allow the registration of menu information; and a display connected to the server to download the menu information, and a processor for processing and outputting the menu information according to the store customer information. It may include at least one of face recognition data.

According to an embodiment of the present disclosure, the digital signage system may provide menu information suitable for the user.

The menu information suitable for the user allows the user to quickly use the service item he/she wants.

The effects of the present disclosure are not limited to the above effects, but it should be understood to include all effects that can be inferred from the configuration of the invention described in the detailed description or claims of the present disclosure.

1 is a diagram schematically illustrating a digital signage system according to an embodiment.
2 is a block diagram illustrating a configuration of a digital signage system according to an exemplary embodiment.
3 is a diagram illustrating an example of an operation of a digital signage system according to an embodiment.
4 is a diagram illustrating an example in which a digital signage system according to an embodiment is applied to a clothing store.
5 is a diagram illustrating an example in which a digital signage system according to an embodiment is applied to a coffee shop.
6 is a diagram illustrating a software structure of a digital signage system according to an embodiment.

Terms used in the embodiments are selected as currently widely used general terms as possible while considering functions in the present invention, but may vary according to intentions or precedents of those of ordinary skill in the art, emergence of new technologies, and the like. In addition, in a specific case, there is a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than the name of a simple term.

In the entire specification, when a part “includes” a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated. In addition, the “… wealth", "… The term “module” means a unit that processes at least one function or operation, which may be implemented as hardware or software, or a combination of hardware and software.

Hereinafter, with reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those of ordinary skill in the art can easily implement them. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein.

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

1 is a diagram schematically illustrating a digital signage system according to an embodiment.

Web, smartphone, menu information, server 21, store customer information, processor 24, display 23, store customer information, gender, age, region, and facial recognition data may be main keywords, and menu information is It is information about a menu specialized for a store, and the store customer information may be information about a customer who has visited the store.

The digital signage system includes: a server 21 that allows access to the web or a smartphone, receives and stores menu information from the connected smartphone, and provides menu information to the display 23; and a display 23 connected to the server 21 to download menu information and to process and output menu information according to store customer information. The display 23 may include a processor 24 that accesses a server, downloads menu information, and processes and outputs menu information according to store customer information. The store customer information may be at least one of gender, age, region, and face recognition data.

The digital signage system may be installed in a store to display menu information through the display 23 to provide menu information to the user. The display 23 constituting the digital signage system can remotely access the server 21 so that menu information can be downloaded from the connected server. The server 21 allows web or smartphone access according to a centralized method or a distributed method, and a user can access the server 21 through a smartphone and upload menu information. The server 21 may collect menu information from a plurality of terminals and provide the collected menu information to a plurality of displays 23 . The display 23 may process and output menu information according to customer information visiting the store, and the store customer information may include gender, age, region, and face recognition data. The display 23 may recognize a store customer through the camera 22 , determine the customer's gender and age, and obtain face recognition data. The region included in the store customer information may indicate a region where the display 23 is installed.

The digital signage system may be installed in a store to process and output menu information according to customer information visiting the store. The digital signage system may use store customer information for processing menu information. Store customer information is acquired by camera recognition, and may include customer's gender, age, region, and face recognition data. Facial recognition data can be objectified to protect personal information. The processor of the display 23 may convert the face recognition data and personal information corresponding to the face recognition data to object names into objectified personal information.

2 is a block diagram illustrating a configuration of a digital signage system according to an exemplary embodiment.

Web, smartphone, server 21, processor 24, display 23, camera 22 may be the main keywords, the web is displayed on a web browser connected to the front end provided by the server 21 It may be a web page, the smartphone may access the server 21 in a mobile communication environment, the server 21 receives menu information by allowing web or smartphone access, and the processor 24 is the server 21 . The menu information may be downloaded from and displayed on the display 23, and the camera 22 may photograph and recognize a user visiting the store.

In the digital signage system, the smartphone may access the server 21 through a web connection. Web access is possible when the server 21 includes a web server, a web browser of a smartphone connects to a terminal implemented in the front end of the web server, loads a web page, and displays the menu listed in the loaded web page. You can upload menu information accordingly. The smartphone can load a web page provided by the web server by running a web browser and inputting the web server address. The web server may allow access to the smartphone and store menu information input via a web page in a database.

The server 21 may be implemented as an embedded device, and the embedded device includes a computer, includes a processor, a memory, and a display as basic components, has a commercial OS, and operates on the server 21 in the form of an application. ) can be implemented. These applications are created by an integrated development environment using a programming language according to various operating environments required by embedded devices. Programming used in the integrated development environment is divided into web, mobile app, and Windows app according to the computing environment interfaced with the user, and is divided into web programming, mobile programming, and window programming according to the type of app.

Web programming used in the server 21 constitutes a web framework by combining html composed of tag definitions and document format definition css. In a web framework, the front end of the client end and the back end using a server-side programming language exchange data with each other to create a huge web environment. The web environment is a main stage in which the server 21 operates, and the server 21 communicates with a mobile app, a console app, and a Windows app in a web environment and provides a computing service to a user.

In the digital signage system, the server 21 may connect a display and a TCP/IP communication channel, and may upload menu information to the display 23 through the communication channel. The server 21 may recognize the identification information of the display 23 according to the connection of the display 23 , and provide menu information corresponding to the identified display 23 . The display 23 may provide identification information to the server 21 , download menu information from the server 21 , and store it in a memory.

The display 23 may recognize a customer visiting a store through the camera 22 , process and output menu information in the memory according to the recognized store customer information. The display 23 may utilize data included in the store customer information for processing the menu information, and the store customer information includes at least one of fashion style, purchasing propensity, personality, fashion sensitivity, customer type, member age group, and conversation status. may include.

The digital signage system may include a server 21 , a processor 24 , a display 23 , and a camera 22 . The digital signage system according to an embodiment is connected to the server 21 and the server 21 allowing the registration of menu information by allowing web or smart phone access to download menu information, and menu information according to store customer information. It may include a processor 24 for processing, a display 23 for outputting processed menu information, and a camera 22 . Also, according to an embodiment, the display 23 may include a processor 24 .

The processor 24 processes the image obtained through the camera 22 to group the guests into at least one group of family, individuals, company colleagues, and friends, and determines a first order according to the number of people for the group, may determine a second order according to purchasing power, and process menu information based on the first order and the second order. Specifically, the processor 24 processes the image obtained through the camera 22 to determine whether the guests are in a party based on information such as how close the guests are to each other and whether they face each other, and when it is determined as a party, the age difference between the parties , the group may be determined as at least one of an individual, a company colleague, and a friend based on the gender ratio included in the group.

The processor 24 according to an embodiment may determine the order from the group occupying the largest number of guests among the total number of guests. For example, the processor 24 may determine that 10 guests out of 20 guests are grouped as family, 5 are grouped as individuals, 3 are grouped as co-workers, and 2 are grouped as friends, family, individual, company The first order may be determined in the order of colleagues and friends.

The processor 24 according to an embodiment may acquire or determine the second order according to purchasing power for the group. For example, the second order may be pre-determined as the order of co-workers, family members, friends, and individuals. It may be predetermined that co-workers typically have the highest purchasing power, followed by family members, and the lowest individual purchasing power.

The processor 24 may process menu information based on the first order and the second order. For example, a score may be assigned to each of the four groups using the first order and the second order. For example, the processor 24 determines the order according to the first order and the order according to the second order for each group, and targets the group having the smallest sum of the first order and the second order given to each group. The menu information may be processed so that is displayed on the leftmost side. For example, if the first order is the order of family, friends, individuals, and co-workers, and the second order is the order of co-workers, family, friends, and individuals, the family is 3 points, the friend is 5 points, and the individual is 7 points. Points, co-workers may be 5 points. In this case, the menu information may be processed so that the menu targeting the family is displayed on the leftmost side. If there are two or more groups having the same score, the score according to the first order may be preferentially reflected.

As such, the processor 24 processes the menu information by reflecting both the first order and the second order, so that the menu can be displayed so as to induce the most purchases from the point of view of the store.

3 is a diagram illustrating an example of an operation of a digital signage system according to an embodiment.

The display 23, store customer information, fashion style, purchasing propensity, personality, fashion sensitivity, customer type, member age group, and whether or not conversation may be the main keywords, and the display 23 is a fashion style predicted based on the store customer information , menu information may be displayed according to purchase propensity, personality, and fashion sensitivity, and menu information may be displayed in consideration of the customer type, including whether or not to talk with the member's age group.

The display 23 may provide store customer information by recognizing customer information visiting the store through the camera 22 . Among the store customer information, the fashion style indicates the characteristics of the user's hair shape, clothes, and shoes, and the display 23 may output menu information suitable for the customer by adapting to the fashion style. The display 23 may output menu information corresponding to the fashion sensitivity of the customer when an arbitrary fashion style is given by matching the fashion style with the customer's purchasing propensity and personality, and expressing the fashion sensitivity as a numerical value.

The display 23 may consider a member's age group and whether or not to talk when determining the type of guest of family, individual, or co-worker. The types of guests can be many other than families, individuals, and co-workers, and these examples are illustrated here. The display 23 may use, as a determination index, whether or not to talk with the member age group to determine the guest type. The age of the member, which is a judgment index, predicts the age of the customer through camera recognition, and whether or not conversation can be predicted by comparing and judging whether the customer has a conversation through the camera recognition.

The processor of the display 23 determines the member age group based on the body size or facial wrinkles of the customer visiting the store by camera recognition, and determines the customer type according to whether a conversation is conducted between the customers in consideration of the determined member age group and storing the big data of the order history of the determined guest type, and displaying menu information corresponding to the next determined guest type based on the stored big data.

The display 23 may be implemented as an embedded device, and the embedded device includes a smartphone, includes a processor, a memory, and a display as basic components, has a commercial OS, and displays ( 23) can be implemented. For example, in the case of a smartphone, a processor of the smartphone may operate as a control unit, and a display of the smartphone may operate as a display unit. In terms of application, the software structure may include a control unit and a display unit. These applications are created by an integrated development environment using a programming language according to various operating environments required by embedded devices.

4 is a diagram illustrating an example in which a digital signage system according to an embodiment is applied to a clothing store.

Store customer information, fashion style, hair style, clothes, shoes, weight, purchasing propensity, personality, fashion sensitivity, natural, elegance, modern, ethnic, garson, hippie, mannish, dandy, and see-through may be the main keywords, and store Customer information is information about customers who have visited the store, and fashion style can take hair shape, clothes, and shoes into consideration. Clothing may be recommended.

When the digital signage system is applied to a clothing store, for example, the clothing store digital signage system may output menu information in consideration of a fashion style as store customer information. The display 23 of the digital signage system may recognize the fashion style of the customer visiting the store through camera recognition. The display 23 may recognize a hair shape, clothes, and shoes as the customer's fashion style, and the clothes may include any one or more of natural, elegance, modern, ethnic, garson, hippie, mannish, dandy, and see-through. have.

The display 23 may create store customer information by assigning weights to each fashion style of clothes, and quantifying the purchasing propensity and personality corresponding to the given weights as fashion sensitivity. The display 23 may recommend clothes corresponding to the digitized fashion sensitivity included in the store customer information. A plurality of clothes have different fashion style values according to fashion styles, and the quantified fashion sensitivity in store customer information is matched with different fashion style values, so that the display 23 recommends clothes corresponding to the closest fashion style value. can do.

5 is a diagram illustrating an example in which a digital signage system according to an embodiment is applied to a coffee shop.

Store customer information, family, individual, co-workers, type of customer, member age group, conversation status, clothes, beverage, season, time zone, Americano, espresso, latte, and black coffee can be the main keywords, and the customer type is family, individual, A company colleague may be recognized, a member's age group or conversation may be considered as an indicator of a customer type, and clothes, drinks, season, and time of day may be considered for menu information.

As an example, when the digital signage system is applied to a coffee shop, the coffee shop digital signage system may output menu information in consideration of customer types as store customer information. The display 23 of the digital signage system may recognize the type of customer visiting the store through camera recognition. The display 23 may recognize a family member, an individual, and a company colleague as a guest type, and may include a member's age group and conversation status as a determination index. The display 23 may consider a beverage, a season, and a time zone as menu information, and the beverage may include any one or more of Americano, espresso, latte, and black coffee.

The display 23 may recognize whether or not to talk with the member age group through camera recognition, and may classify the guest type into family, individual, and company colleague according to the recognized member age group and whether to talk. When the type of guest is identified, the display may process and output menu information corresponding to the type of guest. The purchase tendency of the customer type is matched with menu information corresponding to the purchase tendency, and menu information of the corresponding customer type may be output on the display 23 .

6 is a diagram illustrating a software structure of a digital signage system according to an embodiment.

The communication unit 25 , the processor 24 , the display 23 , the camera 22 , the image processing 26 , the recognition unit 27 , and the machine learning 28 may be main keywords.

The communication unit 25 may access the server, download menu information, and store it in a local database. The local database may provide menu information to the processor and notify whether the menu information is updated.

The processor 24 may connect to a server to download menu information, process and output menu information according to store customer information. The menu information represents a menu specific to a store, and may include text, video, or audio data, and the store customer information is information about a customer who has visited the store, and may be obtained by camera recognition.

The display 23 is a large display unit for displaying menu information, and may display various types of information included in the menu information to deliver information to the user. The display 23 may use a multimedia library such as a text module, a video module, and an audio module.

The camera 22 may be built in the display 23 , and the store customer information may be acquired by the processor 24 by photographing the surrounding environment to recognize the customer visiting the store. The camera 22 may use an image processing library.

The image processing 26 may include a library for processing images acquired by a camera, and the image library may have camera image preprocessing and processing for the preprocessed images.

The recognition unit 27 is a recognition module by the processor 24 and may be in charge of various types of user recognition such as face recognition, fashion style recognition, gender, and age recognition.

Machine learning 28 may be used when considering clothes, drinks, seasons or time zones as menu information, learn predicted results according to the considered variables, and feed back the learned results to advance learning. Machine learning 28 may provide customized menu information by adapting to new menu information through learning using clothes, drinks, seasons or time zones.

Meanwhile, the above-described method can be written as a program that can be executed on a computer, and can be implemented in a general-purpose digital computer that operates the program using a computer-readable recording medium. In addition, the structure of the data used in the above-described method may be recorded in a computer-readable recording medium through various means. The computer-readable recording medium includes a storage medium such as a magnetic storage medium (eg, ROM, RAM, USB, floppy disk, hard disk, etc.) and an optically readable medium (eg, CD-ROM, DVD, etc.) do.

Those of ordinary skill in the art related to this embodiment will understand that it can be implemented in a modified form within a range that does not deviate from the essential characteristics of the above description. Therefore, the disclosed methods are to be considered in an illustrative rather than a restrictive sense. The scope of the present invention is indicated in the claims rather than the foregoing description, and all differences within the scope equivalent thereto should be construed as being included in the present invention.

21: server
22: camera
23: display
24: processor
25: communication department
26: Image processing
27: face recognition
28: Machine Learning

Claims (7)

A server that permits web or smartphone access to allow registration of menu information; and
A display including a processor connected to the server to download the menu information, and to process and output the menu information according to store customer information;
The store customer information includes at least one of gender, age, region, or face recognition data by a camera,
further including a camera,
The display processor
By processing the image acquired through the camera, grouping guests into at least one group of family, individual, company colleagues, and friends,
Determining a first order according to the number of people for the group,
determining a second order according to purchasing power for the group;
assigning scores according to the first order and the second order to the group;
Process the menu information through the menu targeting the group with the smallest sum of the scores,
When there are two or more groups having the same sum of the scores, the menu information is processed by determining the priority of the scores according to the first order to be higher.
The method of claim 1,
The processor of the display substitutes the face recognition data and the personal information corresponding to the face recognition data to the object name to turn it into objectified personal information.
The method of claim 1,
The store customer information further includes a user's fashion style by camera recognition,
wherein the fashion style includes at least one of a hairstyle, clothes, or shoes.
4. The method of claim 3,
The processor of the display assigns a weight to the fashion style of the clothes, receives information on the user's purchasing propensity or personality from an external server, and adds the weighted weight to the fashion sensitivity of the purchasing propensity or personality received from the external server. apply,
A plurality of clothes have different fashion style values according to the fashion style,
The display processor
The digital signage system of quantifying the fashion sensitivity, and matching the quantified fashion sensitivity with the different fashion style values to reflect the clothes corresponding to one or more fashion style values with the highest degree of relevance in the menu information.
The method of claim 1,
The store customer information further includes a type of customer of a family member, individual or company colleague;
The processor of the display determines the member age group based on the body size or facial wrinkles of the customer visiting the store by camera recognition, and determines the customer type according to whether a conversation is conducted between the customers in consideration of the determined member age group, and , A digital signage system that stores big data of the order history of the determined guest type and displays menu information corresponding to the next determined guest type based on the stored big data.
The method of claim 1,
The processor of the display determines the menu information in consideration of at least one of clothes, drinks, seasons, and time zones.
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