KR102287078B1 - Method, apparatus and computer readable medium for analysis tour site through recognizing face characteristics of tourist and tour site guiding method thereof - Google Patents

Abstract

The present invention relates to a method of analyzing a tourist attraction through the recognition of facial characteristic information of a tourist. More specifically, the method includes: a tourist face image collection step of collecting a face image of a tourist visiting a tourist attraction through a management terminal provided in every tourist attraction with a camera module; a characteristic information generation step of generating characteristic information of the tourist including at least one among the gender, age and face characteristic point information of the tourist by transmitting the collected face image of the tourist to an artificial intelligence server instructed with a face image algorithm; and a tourist attraction analysis information providing step of providing tourist attraction analysis information, which is acquired by classifying the tourist visiting the tourist attraction and analyzing congestion information about the tourist attraction based on the characteristic information of the tourist generated for a preset threshold time, to a web service server collecting at least one piece of tourist attraction information. Therefore, the present invention is capable of increasing convenience with a visit to a tourist attraction.

Description

A method, apparatus, and computer-readable recording medium for analyzing tourist attractions through recognition of facial feature information of tourists and guiding tourist destinations accordingly

The present invention relates to a tourist destination analysis through recognition of facial feature information of tourists and a method for guiding tourism contents using the same. Specifically, the present invention generates real-time congestion information for each tourist destination by analyzing the facial images of tourists collected at the tourist destination, and based on this It is related to the technology that guides the recommended tourist destination to the user.

The tourism industry has established itself as a sustainable strategic industry due to changes in people's lifestyles and values, the settlement of a five-day work week system, and increased transportation convenience. The domestic tourism industry market is increasing every year.

However, especially on weekends, major tourist destinations are often crowded, and there are many cases where tourists who visit the tourist destination do not enjoy all the main attractions in the tourist destination and return, or the parking lot is congested and they cannot even enter the tourist destination and turn away. .

In addition, even from the perspective of resident companies in tourist destinations, there are cases in which it is difficult to know information on the distribution of tourists, which causes setbacks in budgeting and operation.

On the other hand, as an example of the related prior art, Korea Patent Registration No. 10-1540677 discloses a statistical management technique for visitors to a festival event, but the prior art measures the number of visitors based on the GIS of each visitor terminal. , there was a problem that multiple sensor nodes of an expensive wireless sensor network should be installed in a tourist destination.

Accordingly, a first object of the present invention is to provide a technology for generating congestion information for each tourist destination by analyzing the facial image of a tourist collected at a tourist attraction through a management terminal installed for each tourist attraction.

A second object of the present invention is to provide a technology for generating and guiding a user terminal with tourism information including a tour course recommended to the user, based on the above-described congestion level information.

In order to achieve the above object, according to an embodiment of the present invention, a method of analyzing a tourist destination through recognition of facial feature information of a tourist implemented in a computing device including one or more processors and a main memory for storing instructions executable by the processor is , a tourist face image collecting step of collecting a face image of a tourist using a tourist destination through a management terminal equipped with a camera module and provided for each tourist destination; a feature information generating step of transmitting the collected tourist's face image to an artificial intelligence server in which the facial image algorithm is learned to generate tourist's feature information including at least one of gender, age, and facial feature point information about the tourist; And based on the characteristic information of the tourist generated for a preset threshold time, providing tourist destination analysis information obtained by classifying tourists using the tourist destination and analyzing the congestion information on the tourist destination to a web service server from which one or more tourist destination analysis information is collected. It characterized in that it includes; providing step of analysis information of the tourist destination.

At this time, when the above-described characteristic information generation step is performed, as a result of applying the collected tourist facial images to the facial image algorithm, it is determined that there is a similar duplicate value in which the gender, age, and facial characteristic point information are all above a preset threshold value. In this case, it is preferable to remove the duplicate values.

In addition, it is preferable that the above-described tourist destination analysis information may be accumulated and stored on a database linked to a web service server, and may include usage pattern analysis information according to the classification criteria of tourists who use the tourist destination.

On the other hand, the tourist destination analysis apparatus through recognition of facial feature information of a tourist implemented as a computing device including one or more processors and a main memory for storing instructions executable by the processor, a management terminal equipped with a camera module and provided for each tourist destination a tourist face image collecting unit that collects face images of tourists who are using tourist spots through the; a feature information generating unit that transmits the collected tourist's face image to the artificial intelligence server in which the facial image algorithm is learned and generates tourist's feature information including at least one of gender, age, and facial feature point information about the tourist; And based on the characteristic information of the tourist generated for a preset threshold time, providing tourist destination analysis information obtained by classifying tourists using the tourist destination and analyzing the congestion information on the tourist destination to a web service server from which one or more tourist destination analysis information is collected. It characterized in that it includes; a tourist attraction analysis information providing unit.

On the other hand, as a computer-readable recording medium, the computer-readable recording medium stores instructions for causing a computing device to perform the following steps, wherein the steps are: Management provided for each tourist attraction by mounting a camera module A tourist face image collecting step of collecting a face image of a tourist using a tourist destination through a terminal; a feature information generating step of transmitting the collected tourist's face image to an artificial intelligence server in which the facial image algorithm is learned to generate tourist's feature information including at least one of gender, age, and facial feature point information about the tourist; And based on the characteristic information of the tourist generated for a preset threshold time, providing tourist destination analysis information obtained by classifying tourists using the tourist destination and analyzing the congestion information on the tourist destination to a web service server from which one or more tourist destination analysis information is collected. It characterized in that it includes; providing step of analysis information of the tourist destination.

A method for guiding a tourist destination according to a tourist attraction analysis through recognition of facial feature information of a tourist implemented in a computing device including one or more processors and a main memory for storing instructions executable by the processor is provided to a web service server, a user using a web service When a tourist destination information request is received from the terminal, analyzing the match between the account information of the user terminal and the collected one or more tourist destination analysis information, a tourist destination information suggestion step of listing and suggesting tourist destination information recommended to the user terminal; and a tourist destination guide step of linking tourist information selected and inputted from the user terminal among the tourist destination information proposed to the user terminal with the GPS module of the user terminal to guide the tourist destination.

In this case, in the above-described tourist destination information proposal step, it is preferable to list and provide information on tourist destinations recommended to the user terminal in consideration of factors including at least one of a tourist destination information request reception time, geographic location, and weather information. .

In addition, in the above-described tourist destination information proposal step, the geographic accessibility between the tourist destinations is determined, and two or more tourist destinations having accessibility greater than or equal to a preset threshold are provided as one tourism course, but the It is preferable to organize the tour course in consideration of the real-time congestion level for each tourist destination included in the tour course from the tourist destination analysis information.

In addition, in the above-described tourist destination guide step, a selection input for a tour course organized in the user terminal is generated, and route guidance for the first tourist destination included in the tour course is performed based on the GPS module and communication module provided in the user terminal. When performed, the real-time congestion level of the first tourist destination during route guidance is monitored to predict the congestion level at the expected arrival time. It is preferable to reorganize the tour course so that route guidance to the second tourist destination having a relatively low congestion level is performed preferentially.

In addition, when the predicted congestion level for the first tourist destination exceeds the reference congestion level, the web service server exists within a preset radius from the real-time location of the user terminal, and the congestion level is relatively low compared to the first tourist destination, It is preferable to search for a third tourist destination having analysis information similar to the tourist destination analysis information of the first tourist destination by more than a preset threshold, and provide the tourist destination analysis information for the searched third tourist destination to the user terminal as a push message.

On the other hand, the tourist destination guide apparatus according to the tourist attraction analysis through recognition of facial feature information of a tourist implemented as a computing device including one or more processors and a main memory for storing instructions executable by the processor, a web service to a web service server When a tourist destination information request is received from a user terminal using the user terminal, it analyzes the match between the account information of the user terminal and the collected one or more tourist destination analysis information, and lists the tourist destination information recommended to the user terminal and proposes the tourist destination information step; and a tourist destination guide step of linking tourist information selected and inputted from the user terminal among the tourist destination information proposed to the user terminal with the GPS module of the user terminal to guide the tourist destination.

On the other hand, as a computer-readable recording medium, the computer-readable recording medium stores instructions for causing a computing device to perform the following steps, wherein the steps are: in a web service server, a user using the web service When a tourist destination information request is received from the terminal, analyzing the match between the account information of the user terminal and the collected one or more tourist destination analysis information, a tourist destination information suggestion step of listing and suggesting tourist destination information recommended to the user terminal; and a tourist destination guide step of linking tourist information selected and inputted from the user terminal among the tourist destination information proposed to the user terminal with the GPS module of the user terminal to guide the tourist destination.

According to an embodiment of the present invention, by analyzing the facial image of a tourist collected in a tourist destination through a management terminal installed in each tourist destination, gender, age, and facial feature points are analyzed, and real-time congestion information for each tourist destination is obtained by collecting analysis data. By generating, the effect of increasing the convenience of visiting tourist destinations, such as inducing tourists to visit tourist spots during low-congestion times, or easily checking tourist information preferred by other tourists of the same sex and similar age there is

Moreover, in the present invention, in analyzing the congestion level with the facial image of a tourist in a tourist destination, when a duplicate value is found that shows all of the gender, age, and facial feature points derived from the facial image are above a preset threshold value, the same person uses the management terminal multiple times By judging that it was captured in , and processing to remove duplicate values for the same person, there is an effect of providing highly reliable tourist destination analysis information.

In addition, according to an embodiment of the present invention, as a tourist course that can comfortably use a tourist destination is planned based on the congestion level information analyzed for each tourist attraction, or a route guidance for the planned tourist course is performed, there is no sense of locality. It has the effect of being able to provide tourist information with increased convenience for tourists.

In particular, in the present invention, when the congestion level of the tourist destination exceeds the standard congestion level during the route guidance of the tourist destination included in the tourism course, a nearby similar tourist destination is provided as an alternative, or the visit order of the tourist destination included in the tourism course is reorganized. Since the guide to the best tourist destination that can avoid congestion is performed, there is an effect of increasing the satisfaction of the tourists using the service.

1 is a view showing a flowchart of a method of analyzing a tourist attraction through recognition of facial feature information of a tourist according to an embodiment of the present invention.
2 is a diagram illustrating an example of classifying tourists and analyzing congestion levels based on facial image data collected according to an embodiment of the present invention.
3 is a diagram illustrating an example in which a usage pattern analysis for a tourist destination is performed according to an embodiment of the present invention.
4 is a diagram showing the configuration of an apparatus for analyzing a tourist attraction through recognition of facial feature information of a tourist according to an embodiment of the present invention.
5 is a flowchart illustrating a method for guiding a tourist destination according to an analysis of a tourist destination through recognition of facial feature information of a tourist according to an embodiment of the present invention;
6 is a diagram illustrating an example of proposing tourist destination information to a user terminal based on tourist destination analysis information, designing a tourism course according to a selection input of the user terminal, and performing route guidance according to an embodiment of the present invention;
7 is a diagram illustrating an example of reorganizing and providing a tour course according to a result of monitoring the congestion level of a tourist destination that is guiding a route according to an embodiment of the present invention;
8 is a diagram illustrating an example of re-searching and providing a nearby tourist attraction having similar tourist destination analysis information according to a result of monitoring a congestion level of a tourist destination in route guidance according to an embodiment of the present invention;
9 is a diagram illustrating a configuration diagram of a tourist attraction guide apparatus according to a tourist attraction analysis through recognition of facial feature information of a tourist according to an embodiment of the present invention.
10 is a diagram illustrating an example of an internal configuration diagram of a computing device according to an embodiment of the present invention;

Hereinafter, various embodiments and/or aspects are disclosed with reference to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth to provide a thorough understanding of one or more aspects. However, it will also be recognized by one of ordinary skill in the art that such aspect(s) may be practiced without these specific details. The following description and accompanying drawings set forth in detail certain illustrative aspects of one or more aspects. These aspects are illustrative, however, and some of the various methods in principles of various aspects may be employed, and the descriptions set forth are intended to include all such aspects and their equivalents.

As used herein, “embodiment”, “example”, “aspect”, “exemplary”, etc. may not be construed as an advantage or an advantage in any aspect or design described herein over other aspects or designs. .

Also, the terms "comprises" and/or "comprising" mean that the feature and/or element is present, but excludes the presence or addition of one or more other features, elements and/or groups thereof. should be understood as not

Also, terms including an ordinal number such as 1st, 2nd, etc. may be used to describe various components, but the components are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

In addition, in the embodiments of the present invention, unless otherwise defined, all terms used herein, including technical or scientific terms, are those commonly understood by those of ordinary skill in the art to which the present invention belongs. have the same meaning. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in an embodiment of the present invention, an ideal or excessively formal meaning is not interpreted as

The present invention relates to a tourist attraction analysis through recognition of facial feature information of a tourist and a method for guiding a tourist destination accordingly. The present invention analyzes a tourist's face image collected in a tourist destination through a management terminal installed in each tourist destination, and the congestion level for each tourist destination A first object is to provide a technology for generating information, and a second object is to provide a technology for generating and guiding a user terminal with tourism information including a tour course recommended to the user, based on the above-described congestion information. There are 2 purposes.

Hereinafter, reference will be made to the accompanying drawings for a more detailed description of the present invention for achieving the above object, and a plurality of drawings may be simultaneously referenced to describe one or more technical features or components constituting the invention. There will be.

First, referring to the flowchart of the tourist destination analysis method through recognition of facial feature information of the tourist in FIG. 1, in the present invention, as shown in FIG. 1, a camera module is mounted to use the tourist destination through a management terminal provided for each tourist destination A tourist face image collecting step (S10) of collecting a face image of a tourist who is there may be performed.

At this time, the above-described management terminal will be understood to collect facial images of tourists who are using the tourist destination with a camera module installed and provided in one area of the tourist destination, and the above-described management terminal is fixedly installed in one or more tourist destinations, It may be understood that it functions to collect facial images collected from one or more management terminals and transmit them to a web service server.

That is, the above-described step S10 will be understood to function to collect facial images of tourists captured through the camera module of the management terminal, and collect basic data for congestion analysis, which will be described later.

Meanwhile, after performing the above-described step S10, the collected facial image of the tourist is transmitted to the artificial intelligence server in which the facial image algorithm is learned, and the tourist characteristic including at least one of gender, age, and facial feature information about the tourist A feature information generation step (S20) of generating information may be performed.

As an example, in step S20, the collected facial images of tourists are transmitted to Naver Clova Face Recognition (CFR) API equipped with a machine learning-based artificial intelligence server, Define facial feature points from parameters including at least any one of the angle and distance between the liver, facial contours, protrusion of facial bones, and hairstyle, and receive the results of estimating the gender and age of tourists by considering the length of the face and the degree of wrinkles The above-described characteristic information of the tourist may be generated.

As another example, in step S20, the collected tourist's face image is transmitted to the Google face recognition API equipped with a machine learning-based artificial intelligence server to define the tourist's facial feature points, and the result of estimating the tourist's gender and age It may function to generate characteristic information of the tourist by receiving it.

In addition, the above-mentioned step S20 is an artificial intelligence-based face recognition program such as Face me API, which is a face recognition API of Taiwan CyberLink, and Vision API, which is a face recognition API of Kakao in Korea. It will be possible to generate tourist characteristic information by estimating the tourist's facial feature points, gender and age, etc. In addition to the above-described face recognition program, the above-described facial recognition function and feature points are defined to derive the result of estimating the tourist's gender and age. Various programs that can be used can be applied and functioned as the face recognition program in the present invention.

That is, in the present invention, by performing the above-described function of step S20, it is possible to expect the effect of being able to generate highly reliable tourist characteristic information without requiring separate personal information from the tourist using the tourist destination.

On the other hand, as a preferred embodiment related to the performance of step S20, in the present invention, when the step S20 is performed, as a result of applying the collected tourist face images to the face image algorithm, the gender, age, and facial feature point information are all preset threshold values. When it is determined that there is a duplicate value similar to or greater than (eg 80%), it is preferable to remove the duplicate value so that it is not used as a parameter to be used for analysis information of a tourist destination to be described later.

As an example, assuming that a plurality of face images are collected, as a result of comparing the first face image and the second face image, the analyzed gender is the same, the age is 70% or more, and the facial feature point information is 70% When it is determined that they are similar to the above, it is determined that the first face image and the second face image are face images photographed repeatedly for the same tourist, and the duplicate value can be removed so that only one face image remains.

That is, in the present invention, as it is possible to provide tourist destination analysis information with increased reliability according to the above-described embodiment, there is an effect that a service that maximizes the convenience of tourists to use the tourist destination can be implemented.

On the other hand, after performing the above-described step S20, based on the characteristic information of the tourist generated for a preset threshold time, the tourist using the tourist destination is classified, and the tourist destination analysis information obtained by analyzing the congestion level information on the tourist destination is analyzed for one or more tourist destinations. A step (S30) of providing tourist destination analysis information provided to a web service server from which information is collected may be performed.

In this case, in step S30, in order to provide the tourist destination analysis information as real-time tourist destination analysis information, the aforementioned preset threshold time may be set to a relatively short period.

For example, based on the opening time of the day of the tourist attraction, it would be preferable to understand that the tourist attraction analysis information is generated based on the characteristic information of the tourist generated from the first unit time to the second unit time, and as a more specific example, If the opening hours of a tourist attraction are from 10 am to 4 pm and the unit time is set to 1 hour, then 10 am to 11 am, 11 am to 12 pm, 12 to 1 pm, 1 to 2 pm, The tourist attraction analysis information may be generated at intervals of 2 to 3 o'clock and 3 to 4 o'clock.

On the other hand, it is natural that the above-described time period can be changed and used with a shorter period than the above embodiment within the business hours of the day, and the present invention is not limited thereto.

Referring to FIG. 2 , an example of classifying tourists based on the characteristic information of the tourists generated in step S20 and analyzing the congestion level is shown.

As shown in 1000 of FIG. 2 , in the present invention, by applying the facial image of the tourist collected through the management terminal provided in the tourist destination to the artificial intelligence engine learned in the facial image algorithm, it is possible to estimate gender, age, and facial feature points. And, according to the estimation result, the congestion level and the tourist distribution during the analysis target time set for the tourist destination can be derived as tourist destination analysis information such as 1100.

That is, as described above, in the present invention, by analyzing a tourist's face image, analyzing gender, age and facial feature points, and collecting analysis data to generate real-time congestion information for each tourist destination, tourists It is applied to the technology field that induces tourists to visit tourist destinations or allows other tourists of the same gender and similar age to easily check information on preferred tourist destinations, which has the effect of increasing the convenience of tourists visiting tourist destinations.

Meanwhile, in another embodiment of the present invention, tourist attraction analysis information may be accumulated and stored in a database linked to a web service server, and usage pattern analysis information according to the classification criteria of tourists using the tourist destination may be further included.

That is, the result of step S30 of FIG. 1 is accumulated and stored in the database, and the usage pattern for each tourist destination can be analyzed as shown in 2000 of FIG. 3 . On the other hand, in the embodiment of 2000 of FIG. 3, an example limited to the analysis result of the tourist usage pattern for the last 3 months for Gyeongbokgung, a tourist attraction, is shown, but the analysis result of the usage pattern for the past year, the past month, the past week, etc. It goes without saying that time standards may change.

In addition, at this time, it is preferable to further include the average congestion level result based on the operating hours of each tourist attraction in the above-described usage pattern analysis, and at this time, more preferably, only the numerical value of the average congestion level is used to determine how crowded the tourist destination is. It would be desirable to differentiate and guide the number of congestion levels by reflecting the point that is difficult to grasp intuitively.

Next, referring to FIG. 4, there is shown a configuration diagram of an apparatus for analyzing a tourist attraction through recognition of facial feature information of a tourist according to an embodiment of the present invention, and in the following description, FIGS. A description of unnecessary embodiments that overlap with the description will be omitted.

As shown in FIG. 4 , the tourist attraction analysis apparatus 10 through recognition of facial feature information of a tourist according to the present invention is preferably a tourist face image collecting unit 11 , a feature information generating unit 12 , and a tourist attraction analysis information providing unit (13) may be included.

At this time, the above-described tourist face image collecting unit 11 performs a function of collecting the facial images of tourists using the tourist destination through the management terminal 20 equipped with a camera module and provided for each tourist destination.

That is, the tourist face image collecting unit 11 can perform all the functions performed in step S10 of FIG. 1 , and in the present invention, the tourist use of the tourist destination by performing the functions of the tourist face image collecting unit 11 . It has the effect of being able to collect basic data to understand the current situation.

Next, the above-described characteristic information generating unit 12 transmits the collected facial image of the tourist to the artificial intelligence server 30 in which the facial image algorithm is learned, and at least any one of gender, age, and facial characteristic information about the tourist. It functions to generate characteristic information of the tourist including

That is, separate to a feature information generating unit 12 described above will be possible to perform all the functions performed by the step S20 of Figure 1, the visitors in the present invention, using the attractions by the function execution of this feature information generating unit 12, It has the effect of being able to analyze the usage status of tourist destinations with high reliability without requiring personal information.

Next, the above-described tourist destination analysis information providing unit 13 classifies tourists using the tourist destination based on the characteristic information of the tourist generated for a preset threshold time, and analyzes the congestion level information on the tourist destination. It performs a function of providing the above tourist destination analysis information to the web service server 40 where it is collected.

That is, it will be understood that the above-described tourist destination analysis information providing unit 13 can perform all the functions performed in step S30 of FIG. It will be understood that it is also possible to perform functions such as performing analysis of tourist usage patterns.

That is, in the present invention, by performing the function of the tourist destination analysis information providing unit 13, the facial image of the tourist collected in the tourist destination is analyzed through the management terminal 20 installed for each tourist destination, and the gender, age and facial feature points are analyzed. By collecting analysis data and generating real-time congestion information for each tourist attraction, it is possible to induce tourists who want to visit a tourist attraction to visit the tourist attraction at a time when the congestion level is low, or to prefer other tourists of the same gender and similar age. It is possible to provide the effect of remarkably increasing the convenience for tourists to visit and use the tourist destination by making it possible to easily check the information on the tourist destination.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations will be possible from the above description by those skilled in the art, and the present invention is not limited thereto.

Meanwhile, as a technique for achieving the above-mentioned second object of the present invention, a method for guiding a tourist destination according to an analysis of a tourist attraction through recognition of facial feature information of a tourist will be described in detail below.

Accordingly, if the description is continued with reference to FIG. 5 showing a flowchart of a method of guiding a tourist attraction according to analysis of a tourist attraction through recognition of facial feature information of a tourist, in the present invention, a tourist information request is made from a user terminal using a web service to a web service server. When received, the tourist information suggestion step (S100) of analyzing the match between the account information of the user terminal and one or more tourist destination analysis information collected in the web service server, listing the tourist information recommended for the user terminal and suggesting (S100) can be performed.

At this time, it will be understood that the account information of the user terminal is information input before the request for tourist destination information or information input through the input means of the user terminal to request the tourist destination information. In order to calculate the degree of matching with , gender and age information may be included as essential information.

Accordingly, it can be understood that the account information of the user terminal and the tourist destination analysis information can be applied to the similarity comparison process based on gender and age to list and provide tourist information matching in the order of the highest similarity.

In addition, as a preferred embodiment of the above-described step S100, in step S100, a geographic location including at least one of a time of receiving a request for tourist information from the user terminal, a real-time location of the user terminal, and a location from which the user terminal requested tourist information, and a web The service server may list and provide tourist information recommended to the user terminal in consideration of the weather information received for the above-described geographical location by communicating with the weather API.

In detail, in consideration of the operating hours of the tourist destinations, the tourist attractions determined to be operated at the time of receiving the tourist information request are extracted and provided, or the tourist destinations based on the real-time location of the user or the location of the area set in the user terminal are extracted and provided. It is possible to select tourist information recommended for the user terminal by providing or extracting guide information on indoor tourist spots when it snows or rains in consideration of weather information.

That is, through this, in the present invention, it is possible to recommend and provide tourist destinations that are not particularly restricted in tourism even though the user's tourism satisfaction is expected to be high, so that it is possible to greatly increase the tourism satisfaction of the user who has requested the tourist information.

As another embodiment of the above-described step S100, in the present invention, when the step S100 is performed, geographical accessibility between the tourist spots is determined based on the previously selected tourist spots, and two or more tourist spots whose accessibility is equal to or greater than a preset threshold are combined into one. It can also be bundled as a tour course.

As an example, tourist destinations whose distances are within a preset distance radius (eg, 5 km) may be bundled and provided as one tourist course. Meanwhile, according to this embodiment, there is an effect that tourism convenience is further increased because no effort is required for the tourist to plan a tour course by searching for the geographical location of each tourist attraction one by one.

Further, in the present invention, further from the above embodiment, a function to organize a tour course in consideration of the real-time congestion level for each tourist destination included in the tour course from the tourist destination analysis information collected at the time closest to the time of receiving the tourist information request You may.

In other words, it goes beyond recommending tourist destinations that are predicted to have high user satisfaction with tourism and has no restrictions on tourism, and considers the congestion level analyzed in real time. As such, there is an effect that a tour guide service that can further improve the quality of tourism for tourists can be implemented.

On the other hand, as opposed to automatically designing a tourist course by arbitrarily selecting a recommended and proposed tourist destination in the above embodiment, in the present invention, a tourist course is selected according to the selection input of the user terminal among the list of tourist destinations listed and provided in the user terminal. It may be designed and provided.

As an example, referring to 3000 of FIG. 6 , in 3000 of FIG. 6 there are an example in which tourist information is listed and suggested in the user terminal based on the analysis information of the tourist destination, and an example in which a course for the tourist destination selected and inputted by the user terminal is set. is shown.

That is, in the present invention, according to this embodiment, a tourist course that can comfortably use a tourist destination is planned based on the congestion level information analyzed for each tourist destination, or a route guidance for the planned tourist course is performed. It has the effect of being able to provide tourist information with increased convenience to people.

Returning to FIG. 5 again, after performing step S100, a tourist destination guide step ( S200) may be performed.

In the above-described step S200, when a selection input for the tour course organized by the web service server is input from the user terminal, the first tourist destination included in the tour course is based on the GPS module and communication module provided in the user terminal. Route guidance may be performed.

In addition, in the present invention, it is preferable to continuously monitor the real-time congestion level for the first tourist destination during route guidance, and more preferably, based on the monitored real-time congestion level, the predicted congestion level at the user's expected arrival time is predicted. When the congestion level exceeds the standard congestion level, it may function to reorganize the tour course so that route guidance to a second tourist destination having a relatively low level of congestion compared to the first tourist destination is preferentially performed among tourist destinations included in the tourism course.

In this case, it may be understood that the above-described means for predicting the degree of congestion compares the trends of the monitored level of congestion or uses the results of analysis of usage patterns included in the analysis information of tourist destinations.

In 4000 of FIG. 7, an embodiment showing the above example in more detail is shown, that is, the existing tourist course is Gyeongbokgung-Namsan Tower-Bukchon Hanok Village, and while the route guidance to Gyeongbokgung is being performed, Gyeongbokgung Palace is scheduled to arrive at Gyeongbokgung Palace. If the congestion level is judged to exceed the standard congestion level, the tour course can be reorganized and provided as Namsan Tower-Gyeongbokgung-Bukchon Hanok Village as indicated in the tourism course after the change.

In this case, it will be understood that the reorganization of the tourist course is possible when there is a second tourist destination that is a tourist attraction having a lower degree of congestion than the first tourist destination in the tourism course.

As another example of this step S200, in the present invention, when the predicted congestion level for the aforementioned first tourist destination exceeds the standard congestion level, the web service server searches for a third tourist destination not included in the tourist course and provides it. may be

To this end, the web service server exists within a preset radius from the real-time location of the user terminal, has a relatively low degree of congestion compared to the first tourist destination, and has tourist attraction analysis information similar to that of the first tourist destination by more than a preset threshold. It would be desirable to search for a third tourist destination.

Meanwhile, at this time, when the web service server completes the search for the third tourist destination that satisfies the similarity condition with respect to the first tourist destination, the tourist destination analysis information for the third tourist destination searched for in the user terminal is shown in 5000 of FIG. It will be possible to provide the same push message as

As shown in 5000 of FIG. 8 , in the push message described above, as tourist destination analysis information for the searched third tourist destination, similarity information to the first tourist destination and congestion information may be included, and at the same time, route guidance request A menu may be included.

That is, after receiving the push message for the third tourist destination from the above-described user terminal, if there is a selection input for the above-described route guidance request menu, the route guidance to the first tourist destination is stopped and the route to the third tourist destination is received. It will be possible to perform tourist information by converting it to a guide.

As a result, according to the execution of step S200 of the present invention, if the congestion level of the tourist destination exceeds the standard congestion level during the route guidance of the tourist destination included in the tourism course, a nearby similar tourist destination is provided as an alternative or included in the tourism course By reorganizing the order of visits to the tourist destinations, the optimal tourist information guide to avoid congestion is performed, thereby increasing the satisfaction of the tourists in using the service.

In summary, according to the tourist destination analysis and tourist destination guidance method through recognition of facial feature information of the present invention, by analyzing the facial image of the tourist collected in the tourist destination through the management terminal installed in each tourist destination, gender, age and By analyzing facial feature points and collecting analysis data to generate real-time congestion information for each tourist destination, it can induce tourists to visit tourist attractions during low-congestion times, or provide information on tourist destinations preferred by other tourists of the same gender and similar age. It has the effect of increasing the convenience of visiting tourist destinations, such as being able to easily check the

Moreover, in the present invention, in analyzing the congestion level with the facial image of a tourist in a tourist destination, when a duplicate value is found that shows all of the gender, age, and facial feature points derived from the facial image are above a preset threshold value, the same person uses the management terminal multiple times By judging that it was captured in , and processing to remove duplicate values for the same person, there is an effect of providing highly reliable tourist destination analysis information.

In addition, according to an embodiment of the present invention, as a tourist course that can comfortably use a tourist destination is planned based on the congestion level information analyzed for each tourist attraction, or a route guidance for the planned tourist course is performed, there is no sense of locality. It has the effect of being able to provide tourist information with increased convenience for tourists.

In particular, in the present invention, when the congestion level of the tourist destination exceeds the standard congestion level during the route guidance of the tourist destination included in the tourism course, a nearby similar tourist destination is provided as an alternative, or the visit order of the tourist destination included in the tourism course is reorganized. Since the guide to the best tourist destination that can avoid congestion is performed, there is an effect of increasing the satisfaction of the tourists using the service.

Meanwhile, FIG. 9 shows a configuration diagram of a tourist attraction guide apparatus according to a tourist attraction analysis through recognition of facial feature information of a tourist according to an embodiment of the present invention. A description of unnecessary embodiments will be omitted.

As shown in FIG. 9 , the tourist destination guide apparatus 100 according to the tourist attraction analysis through recognition of the tourist's facial feature information may preferably include a tourist destination information suggestion unit 101 and a tourist destination guide unit 102 .

At this time, the above-described tourist destination information suggestion unit 101 collects, to the web service server 40 , the account information of the user terminal 40 when a tourist destination information request is received from the user terminal 40 using the web service. By analyzing the degree of matching with the one or more tourist destination analysis information, a function of listing and suggesting tourist destination information recommended to the user terminal 40 is performed.

That is, it will be understood that the tourist destination information suggestion unit 101 can perform all the functions performed in step S100 of FIG. 5 , and the user's tourism satisfaction is predicted to be high by performing the functions of the above-described tourist destination information suggestion unit 101 . Since it is possible to recommend and provide tourist attractions that do not have any restrictions on tourism, there is an effect that can greatly increase the user's tourism satisfaction.

Next, the above-described tourist destination guide unit 102 interlocks the tourist destination information selected and input from the user terminal 40 among the tourist destination information proposed to the user terminal 40 with the GPS module of the user terminal 40 to the It functions to perform guidance on tourist attractions.

That is, the tourist destination guide unit 102 is capable of performing all the functions performed in step S200 of FIG. 4 , and when the congestion level of the tourist destination exceeds the standard congestion level during route guidance of the tourist destination included in the tourism course, the nearby By providing a similar tourist destination as an alternative or by reorganizing the visit order of tourist destinations included in the tourism course to provide optimal tourist information to avoid congestion, it is possible to provide the effect of increasing the satisfaction of the tourists in using the service.

In addition, in the above description, a terminal including at least one of a management terminal and a user terminal is a terminal capable of network communication capable of performing the above functions, such as a wire/wireless telephone, a tablet PC ( Tablet PC), a laptop (Laptop), a smart phone (Smartphone), a personal digital assistant (Personal Digital Assistant), and may be understood as a terminal including any one of the mobile communication terminal (Mobile Communication Terminal).

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations will be possible from the above description by those skilled in the art, and the present invention is not limited thereto.

10 illustrates an example of an internal configuration of a computing device according to an embodiment of the present invention, and in the following description, descriptions of unnecessary embodiments that overlap with those of FIGS. 1 to 9 will be omitted. do it with

10, the computing device 10000 includes at least one processor 11100, a memory 11200, a peripheral interface 11300, an input/output subsystem ( It may include at least an I/O subsystem) 11400 , a power circuit 11500 , and a communication circuit 11600 . In this case, the computing device 10000 may correspond to a user terminal connected to the tactile interface device (A) or the aforementioned computing device (B).

The memory 11200 may include, for example, a high-speed random access memory, a magnetic disk, an SRAM, a DRAM, a ROM, a flash memory, or a non-volatile memory. there is. The memory 11200 may include a software module, an instruction set, or other various data required for the operation of the computing device 10000 .

In this case, access to the memory 11200 from other components such as the processor 11100 or the peripheral interface 11300 may be controlled by the processor 11100 .

Peripheral interface 11300 may couple input and/or output peripherals of computing device 10000 to processor 11100 and memory 11200 . The processor 11100 may execute a software module or an instruction set stored in the memory 11200 to perform various functions for the computing device 10000 and process data.

The input/output subsystem 11400 may couple various input/output peripherals to the peripheral interface 11300 . For example, the input/output subsystem 11400 may include a controller for coupling a peripheral device such as a monitor, keyboard, mouse, printer, or a touch screen or sensor as needed to the peripheral interface 11300 . According to another aspect, input/output peripherals may be coupled to peripheral interface 11300 without going through input/output subsystem 11400 .

The power circuit 11500 may supply power to all or some of the components of the terminal. For example, the power circuit 11500 may include a power management system, one or more power sources such as batteries or alternating current (AC), a charging system, a power failure detection circuit, a power converter or inverter, a power status indicator, or a power source. It may include any other components for creation, management, and distribution.

The communication circuit 11600 may enable communication with another computing device using at least one external port.

Alternatively, as described above, if necessary, the communication circuit 11600 may include an RF circuit to transmit and receive an RF signal, also known as an electromagnetic signal, to enable communication with other computing devices.

This embodiment of FIG. 10 is only an example of the computing device 10000, and the computing device 11000 omits some components shown in FIG. 10, or further includes additional components not shown in FIG. 10, or 2 It may have a configuration or arrangement that combines two or more components. For example, a computing device for a communication terminal in a mobile environment may further include a touch screen or a sensor in addition to the components shown in FIG. 10 , and may include various communication methods (WiFi, 3G, LTE) in the communication circuit 1160 , Bluetooth, NFC, Zigbee, etc.) may include a circuit for RF communication. Components that may be included in the computing device 10000 may be implemented in hardware, software, or a combination of both hardware and software including an integrated circuit specialized for one or more signal processing or applications.

Methods according to an embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computing devices and recorded in a computer-readable medium. In particular, the program according to the present embodiment may be configured as a PC-based program or an application dedicated to a mobile terminal. The application to which the present invention is applied may be installed in the user terminal through a file provided by the file distribution system. As an example, the file distribution system may include a file transmission unit (not shown) that transmits the file according to a request of the user terminal.

The device described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, the devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system.

The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

Software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or device, to be interpreted by or to provide instructions or data to the processing device. may be permanently or temporarily embody in The software may be distributed over networked computing devices, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and used by those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and carry out program instructions, such as ROM, RAM, flash memory, and the like.

Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible by those skilled in the art from the above description. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result. Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (12)

In the tourist attraction analysis method through recognition of facial feature information of a tourist implemented in a computing device including one or more processors and a main memory for storing instructions executable by the processor,
A tourist face image collecting step of collecting a face image of a tourist using the tourist destination through a management terminal equipped with a camera module and provided for each tourist destination;
A feature information generating step of transmitting the collected tourist's face image to an artificial intelligence server in which a face image algorithm has been learned, and generating feature information of the tourist including at least one of gender, age, and facial feature point information for the tourist; and
Based on the characteristic information of the tourist generated for a preset threshold time, the tourist destination analysis information obtained by classifying tourists using the tourist destination and analyzing the congestion level information on the tourist destination is transferred to a web service server where one or more tourist destination analysis information is collected. A step of providing tourist information analysis information provided; including,
When performing the feature information generation step,
As a result of applying the collected tourist face images to the face image algorithm, when it is determined that there is a duplicate value similar to gender, age, and facial feature point information above a preset threshold value, the duplicate value is removed and processed, ,
In the tourist attraction analysis information,
It is accumulated in a database linked to the web service server and is used to provide numerical average congestion information for each operating time based on the operating time of each tourist attraction as usage pattern analysis information according to the classification criteria of tourists using the tourist destination. , providing classification information of the average congestion level provided numerically,
When the web service server receives a tourist destination information request from a user terminal using the web service, the user terminal analyzes the match between the account information of the user terminal and the collected one or more tourist destination analysis information, and recommends it to the user terminal a step of proposing tourist information by listing the tourist information to be made; and
A tourist attraction guide step of performing guidance on the tourist destination by linking the tourist information selected and inputted from the user terminal among the tourist destination information proposed to the user terminal with the GPS module of the user terminal;
The step of suggesting the tourist destination information,
By judging the geographical accessibility between tourist destinations, two or more tourist destinations whose accessibility is greater than or equal to a preset threshold are provided as a single tourism course,
Organize the tourism course in consideration of the real-time congestion level for each tourist destination included in the tourism course from the tourist destination analysis information collected at the time closest to the time of receiving the tourist information request,
The tourist guide step is,
When a selection input for the tour course organized in the user terminal is generated, and route guidance to the first tourist destination included in the tour course is performed based on the GPS module and communication module provided in the user terminal,
The congestion level of the expected arrival time is predicted by monitoring the real-time congestion level of the first tourist destination while performing the route guidance, and when the predicted congestion level exceeds the reference congestion level, the first tourist destination among the tourist destinations included in the tour course The tour course is reorganized so that the route guidance to the second tourist destination with a relatively low degree of congestion is performed preferentially,
Prediction of congestion is
To compare the trend of the monitored congestion level, or to use the analysis result of the usage pattern for each tourist destination included in the tourist destination analysis information,
The tourist information suggestion step is,
The tourist destination operated at the time of receiving the tourist information request by listing and providing the recommended tourist destination information to the user terminal in consideration of factors including at least one of the tourist destination information request reception time, geographic location, and weather information In extracting a tourist destination based on the real-time location of the user or the location of the area set in the user terminal, and providing guide information for indoor tourist destinations when it snows or rains in consideration of weather information,
When the predicted congestion level for the first tourist destination exceeds the reference congestion level,
The web service server is located within a preset radius from the real-time location of the user terminal, has a relatively low degree of congestion compared to the first tourist destination, and analyzes tourist attractions similar to the tourist destination analysis information of the first tourist destination by more than a preset threshold Search for a third tourist destination having information, and provide tourist information on the searched third tourist destination as a push message to the user terminal,
In the push message,
As the tourist destination analysis information for the searched third tourist destination, similarity information and congestion information with the first tourist destination are included, and a route guidance request menu for the searched third tourist destination is included, and the user terminal provides the route guidance from the user terminal. When there is a selection input for the request menu, stopping the route guidance for the first tourist destination and switching to the route guidance for the third tourist destination so that the tourist attraction guide is performed. Through recognition of facial feature information of tourists A method of analyzing tourist destinations.
delete delete delete delete delete delete delete In the tourist attraction analysis apparatus through recognition of facial feature information of a tourist implemented as a computing device including one or more processors and a main memory for storing instructions executable by the processor,
a tourist face image collecting unit equipped with a camera module to collect facial images of tourists using the tourist destination through a management terminal provided for each tourist destination;
a feature information generating unit that transmits the collected tourist's face image to an artificial intelligence server in which a face image algorithm is learned, and generates tourist feature information including at least one of gender, age, and facial feature point information for the tourist; and
Classifying tourists using the tourist destination based on the characteristic information of the tourist generated for a preset threshold time, and analyzing the tourist destination analysis information obtained by analyzing the congestion information on the tourist destination to a web service server where one or more tourist destination analysis information is collected A tourist attraction analysis information providing unit that provides; including,
When the function of the feature information generating unit is performed,
As a result of applying the collected tourist face images to the face image algorithm, when it is determined that there is a duplicate value similar to gender, age, and facial feature point information above a preset threshold value, the duplicate value is removed and processed, ,
In the tourist attraction analysis information,
It is accumulated in a database linked to the web service server and is used to provide numerical average congestion information for each operating time based on the operating time of each tourist attraction as usage pattern analysis information according to the classification criteria of tourists using the tourist destination. , providing classification information of the average congestion level provided numerically,
When the web service server receives a request for tourist information from a user terminal using the web service, the matching degree between the account information of the user terminal and the collected one or more tourist destination analysis information is analyzed, and the tourist destination recommended to the user terminal tourist information suggestion unit that lists and proposes information; and
It characterized in that it comprises; and a tourist destination guide unit that guides the tourist destination information by linking the tourist information selected and inputted from the user terminal to the GPS module of the user terminal among the tourist destination information proposed to the user terminal,
The tourist information suggestion unit,
By judging the geographical accessibility between tourist destinations, two or more tourist destinations whose accessibility is greater than or equal to a preset threshold are provided as a single tourism course,
Organize the tourism course in consideration of the real-time congestion level for each tourist destination included in the tourism course from the tourist destination analysis information collected at the time closest to the time of receiving the tourist information request,
The tourist information department,
When a selection input for the tour course organized in the user terminal is generated, and route guidance to the first tourist destination included in the tour course is performed based on the GPS module and communication module provided in the user terminal,
The congestion level of the expected arrival time is predicted by monitoring the real-time congestion level of the first tourist destination while performing the route guidance, and when the predicted congestion level exceeds the reference congestion level, the first tourist destination among the tourist destinations included in the tour course The tour course is reorganized so that the route guidance to the second tourist destination with a relatively low degree of congestion is performed preferentially,
Prediction of congestion is
Comparing the trend of the monitored congestion level, or using the analysis result of the usage pattern for each tourist destination included in the tourist destination analysis information,
The tourist information suggestion unit,
The tourist destination operated at the time of receiving the tourist information request by listing and providing the recommended tourist destination information to the user terminal in consideration of factors including at least one of the tourist destination information request reception time, geographic location, and weather information In extracting a tourist destination based on the real-time location of the user or the location of the area set in the user terminal, and providing guide information for indoor tourist destinations when it snows or rains in consideration of weather information,
When the predicted congestion level for the first tourist destination exceeds the reference congestion level,
The web service server is located within a preset radius from the real-time location of the user terminal, has a relatively low degree of congestion compared to the first tourist destination, and analyzes tourist attractions similar to the tourist destination analysis information of the first tourist destination by more than a preset threshold Search for a third tourist destination having information, and provide tourist information on the searched third tourist destination as a push message to the user terminal,
In the push message,
As the tourist destination analysis information for the searched third tourist destination, similarity information and congestion information with the first tourist destination are included, and a route guidance request menu for the searched third tourist destination is included, and the user terminal provides the route guidance from the user terminal. When there is a selection input for the request menu, stopping the route guidance for the first tourist destination and switching to the route guidance for the third tourist destination so that the tourist attraction guide is performed. Through recognition of facial feature information of tourists tourist attraction analysis device.
delete A computer-readable recording medium comprising:
The computer-readable recording medium stores instructions for causing a computing device to perform the following steps:
A tourist face image collecting step of collecting a face image of a tourist using the tourist destination through a management terminal equipped with a camera module and provided for each tourist destination;
A feature information generating step of transmitting the collected tourist's face image to an artificial intelligence server in which a face image algorithm has been learned, and generating feature information of the tourist including at least one of gender, age, and facial feature point information for the tourist; and
Based on the characteristic information of the tourist generated for a preset threshold time, the tourist destination analysis information obtained by classifying tourists using the tourist destination and analyzing the congestion level information on the tourist destination is transferred to a web service server where one or more tourist destination analysis information is collected. A step of providing tourist information analysis information provided; including,
When performing the feature information generation step,
As a result of applying the collected tourist face images to the face image algorithm, when it is determined that there is a duplicate value similar to gender, age, and facial feature point information above a preset threshold value, the duplicate value is removed and processed, ,
In the tourist attraction analysis information,
It is accumulated in a database linked to the web service server and is used to provide numerical average congestion information for each operating time based on the operating time of each tourist attraction as usage pattern analysis information according to the classification criteria of tourists using the tourist destination. , providing classification information of the average congestion level provided numerically,
When the web service server receives a tourist destination information request from a user terminal using the web service, the user terminal analyzes the match between the account information of the user terminal and the collected one or more tourist destination analysis information, and recommends it to the user terminal a step of proposing tourist information by listing the tourist information to be made; and
A tourist attraction guide step of performing guidance on the tourist destination by linking the tourist information selected and inputted from the user terminal among the tourist destination information proposed to the user terminal with the GPS module of the user terminal;
The step of suggesting the tourist destination information,
By judging the geographical accessibility between tourist destinations, two or more tourist destinations whose accessibility is greater than or equal to a preset threshold are provided as a single tourism course,
Organize the tourism course in consideration of the real-time congestion level for each tourist destination included in the tourism course from the tourist destination analysis information collected at the time closest to the time of receiving the tourist information request,
The tourist guide step is,
When a selection input for the tour course organized in the user terminal is generated, and route guidance to the first tourist destination included in the tour course is performed based on the GPS module and communication module provided in the user terminal,
The congestion level of the expected arrival time is predicted by monitoring the real-time congestion level of the first tourist destination while performing the route guidance, and when the predicted congestion level exceeds the reference congestion level, the first tourist destination among the tourist destinations included in the tour course The tour course is reorganized so that the route guidance to the second tourist destination with a relatively low degree of congestion is performed preferentially,
Prediction of congestion is
To compare the trend of the monitored congestion level, or to use the analysis result of the usage pattern for each tourist destination included in the tourist destination analysis information,
The tourist information suggestion step is,
The tourist destination operated at the time of receiving the tourist information request by listing and providing the recommended tourist destination information to the user terminal in consideration of factors including at least one of the tourist destination information request reception time, geographic location, and weather information In, extracting a tourist destination based on the real-time location of the user or the location of the area set in the user terminal, and providing guide information for indoor tourist destinations when it snows or rains in consideration of weather information,
When the predicted congestion level for the first tourist destination exceeds the reference congestion level,
The web service server is located within a preset radius from the real-time location of the user terminal, has a relatively low degree of congestion compared to the first tourist destination, and analyzes tourist attractions similar to the tourist destination analysis information of the first tourist destination by more than a preset threshold Search for a third tourist destination having information, and provide tourist information on the searched third tourist destination as a push message to the user terminal,
In the push message,
As the tourist destination analysis information for the searched third tourist destination, similarity information and congestion information with the first tourist destination are included, and a route guidance request menu for the searched third tourist destination is included, and the user terminal provides the route guidance from the user terminal. A computer-readable recording medium, characterized in that when there is a selection input for the request menu, the route guidance for the first tourist destination is stopped, and the route guidance is switched to the route guidance for the third tourist destination so that the tourist destination guidance is performed. delete

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