Information provision device and information provision method
The information providing device and method address the challenge of inaccurate congestion information by using attribute trends and social media data to guide users to optimal visit times, improving the accuracy and user experience of navigation systems.
Patent Information
- Application Number
- JP2025031450
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-02-28
- Publication Date
- 2025-05-13
- Estimated Expiration
- 2041-04-16
AI Technical Summary
Existing navigation and destination information systems fail to provide detailed insights into the number of people with specific attributes at destinations, leading to inaccurate information about congestion levels and optimal visit times.
An information providing device and method that utilize attribute trends for each time period, user attributes, and social media data to guide users on the best times to visit a location based on the percentage of matching and non-matching attributes.
Enables users to plan visits during optimal times based on user attributes, improving the accuracy of congestion information and enhancing the user experience by reducing wait times and improving visit satisfaction.
Smart Images

Figure 2025074196000001_ABST
Abstract
Description
[Technical field]
[0001] The present invention relates to an information providing device and an information providing method. [Background technology]
[0002] In recent years, with the spread of mobile devices such as smartphones and tablet terminals, SNS (Social Networking Services) has become increasingly popular. Social networking services (SNS) are frequently used. Information posted on SNS is, for example, Used in navigation systems that provide information and destination information It has been done.
[0003] A navigation system that provides users with information about the congestion level of their destination based on information posted on SNS. For example, Patent Document 1 discloses a technology for a congestion-prone facility at a destination. Techniques are disclosed for guiding changes in noise levels. [Prior art documents] [Patent documents]
[0004] [Patent Document 1] JP 2020-177418 A Summary of the Invention [Problem to be solved by the invention]
[0005] The technology disclosed in Patent Document 1 is to grasp the degree of congestion at a destination over time. However, it is not possible to grasp detailed information such as the characteristics of the majority of people. Some facilities use the web to provide information such as congestion levels, but the information is provided with a time lag. For example, there is a lot of information that is different from the actual situation. However, depending on the time of day or events, there are many couples and families visiting. Sometimes it's not true.
[0006] In view of the above, in the present disclosure, a user attribute set at a specified location is It is an object of the present invention to provide an information providing device and an information providing method that can provide information on an appropriate visiting time period according to a user's needs. [Means for solving the problem]
[0007] The information providing device of the present invention is equipped with a guidance processing unit that determines when a user should visit a specified location based on attribute trends for each time period regarding people visiting the specified location and predetermined user attributes and notifies the user, and is characterized in that the guidance processing unit determines when the user should visit the specified location based on at least one of the proportion of people whose attributes match the user attributes, as indicated by the attribute trends, and the proportion of people whose specified attributes are different from the user attributes.
[0008] The information provision method of the present invention is characterized in that a computer executes a guidance processing step in which it determines the time when a user should visit a specified location based on attribute trends for each time period regarding people visiting the specified location and preset user attributes, and notifies the user, and the guidance processing step determines the time when the user should visit the specified location based on at least one of the proportion of people whose attributes match the user attributes, as indicated by the attribute trends, and the proportion of people whose specified attributes are different from the user attributes. Effect of the Invention
[0009] According to the information providing device and the information providing method of the present invention, it is possible to provide information on an appropriate visiting time period for a specified location according to the set user attributes. [Brief description of the drawings]
[0010] [Figure 1]1 is a configuration diagram of an information providing device according to a first embodiment of the present invention. [Diagram 2] FIG. 2 is a diagram showing an example of guidance on an appropriate visiting time period at a specified location according to the first embodiment of the present invention. [Diagram 3] FIG. 2 is a flow diagram of a process performed by the information providing device according to the first embodiment of the present invention to provide information about an appropriate visiting time period at a specified location. [Figure 4] FIG. 11 is a configuration diagram of an information providing system according to a second embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0011] Hereinafter, an embodiment will be described with reference to the drawings. Note that the drawings are simplified. Therefore, the technical scope of the embodiment should not be narrowly interpreted based on the description in this drawing. In addition, the same elements are denoted by the same reference numerals, and duplicated explanations will be omitted.
[0012] In the following embodiments, for convenience, multiple sections or implementations are used where necessary. However, unless otherwise specified, they are unrelated to each other. The above does not apply to any particular application, and one may include partial or complete modifications, application examples, detailed explanations, supplementary explanations, etc. of the other. In the following embodiments, the number of elements (number, value, amount, range, etc.) (including the number of items in the range of Except in certain cases, the number is not limited to a specific number and may be more or less than a specific number. stomach.
[0013] Furthermore, in the following embodiments, the components (including operation steps, etc.) are particularly Unless expressly stated or considered to be clearly essential in principle, Similarly, in the following embodiments, the shapes, positional relationships, etc. of the components are not necessarily required. When referring to This includes those that are substantially similar or similar in shape, etc., excluding those that are similar in shape, etc. The same applies to the above numbers (including numbers, values, amounts, ranges, etc.).
[0014] <Embodiment 1> The configuration of an information providing device 10 in this embodiment will be described with reference to FIG. 1 is a configuration diagram of an information providing device 10 according to an embodiment.
[0015] The information providing device 10 can communicate with the SNS server 20. The SNS server 20 The information providing device 10 may be a server provided on a network that can communicate with the information providing device 10. The SNS server 20 may be a server of the official website of each facility. Alternatively, multiple units may be used.
[0016] The information providing device 10 includes an input unit 11, a location designation unit 12, a user attribute acquisition unit 13, and a video selection unit. The system includes a person detection unit 14, a person detection unit 15, an attribute estimation unit 16, an attribute tendency determination unit 17, and a guidance processing unit 18. can.
[0017] The information providing device 10 is a navigation device that provides a destination and a travel route to a user. The information providing device 10 may be a single server, or may include: The functions of each unit may be distributed using multiple servers.
[0018] The input unit 11 issues operational instructions to the location designation unit 12 and the user attribute acquisition unit 13. The operation instruction may be given by inputting characters using a keyboard or a touch panel, or by using a microphone. It may also be by voice input using the above.
[0019] The location designation unit 12 designates a location based on information input by the user through the input unit 11. The information you enter can be anything, such as the latitude and longitude of your destination, or the name of a facility. The information providing device 10 may include a map DB (not shown) that stores map data. At this time, the designated point may be selected on a map.
[0020] The user attribute acquisition unit 13 acquires the user's attributes based on the information input by the user through the input unit 11. Specify the attribute. Attributes can be, for example, one person, a family with children, a couple, a group of men and women, a male group, etc. The attribute may be various, but is not limited to these, such as a group and a female group. The information may be input from the input unit 11 each time, or may be registered in advance. In the case of pre-registration, the information providing device 10 is provided with a storage unit (not shown) and stores user attributes in the storage unit. may be registered.
[0021] The image selection unit 14 selects information on location names and facility names distributed through the network. A location designation unit 1 selects a location from among images to which location information such as latitude and longitude has been added as tag information. 2. The video that has location information that matches or is similar to the location specified in advance is posted on the SNS server. The image selection unit 14 searches and selects an image from the server 20. When the image contains latitude and longitude information, In this case, the image showing the latitude and longitude information within a predetermined range from the latitude and longitude of the specified point is searched and selected. Within a certain range means, for example, within 100m from the specified point, or within the attributes of the specified point. It may be arbitrarily set by
[0022] The image selection unit 14 selects an image of a predetermined period from the selected images when the location is specified. The video of a specified period may be, for example, within one hour from a specified time, during the day, within one week, etc. The image to be selected may be a still image. It may be a moving image.
[0023] The video selected by the video selection unit 14 is, for example, news provided on the official website of each facility. The video may be selected from the contents of the website, blogs, etc. The images are based on real-time images from fixed cameras connected to the network. That is, the SNS server 20 may be a server provided in each facility or a fixed point camera. The server may be a server that distributes images from a camera. It is preferable that the information in S covers a large amount of searchable information.
[0024] The person detection unit 15 detects a person included in the video selected by the video selection unit 14. When a plurality of people are included in a video, the detection unit 15 may detect the plurality of people. Among the images selected by the image selection unit 14, images that do not include people are detected by the person detection unit 15. Based on the detection result, the attribute of the person is estimated in the process of the attribute estimation unit 16 described later. may be excluded from
[0025] The attribute estimation unit 16 estimates the attributes of the person detected by the person detection unit 15. The attribute estimation is performed as follows: The person detection unit 15 estimates the attributes of a single person or multiple people detected. Learn the person's status (e.g., gender, such as male or female, age, such as child, young, or elderly) Using artificial intelligence developed by the person detection unit 14, the attributes of the person are calculated from the feature amount of the image of the person detected by the person detection unit 14. The attribute estimation unit 16 estimates the personal attributes of the detected individual and The attribute estimation unit 16 may also estimate the attributes of the organization to which the person who posted the message belongs. Based on the distance between people, whether they are talking, their gazes and the direction of their faces, it is possible to tell whether someone is alone or in a couple. It may be possible to estimate whether the person is a group or the attributes of the group. The attributes may be, for example, gender, such as male or female, The attributes may be various, such as age, such as child, young, or elderly. Also, the attributes of the organization to which the person belongs. For example, singles, families with children, couples, groups of men and women, groups of men and women The organization may be a variety of organizations such as a sports group.
[0026] The attribute tendency determination unit 17 determines the attribute tendency of a person based on the person's attributes estimated by the attribute estimation unit 16 from a plurality of images. The system determines the attribute trends for each time period for people visiting a specified location. The attribute tendency determination unit 17 determines the tendency of attributes by using the ratio of attributes of people detected from the video. The trends in person attributes are, for example, many families, many couples, young couples, etc. The attribute tendency determination unit 17 may determine various tendencies such as "many people in a group" or "many groups in a group." The system uses artificial intelligence to learn the attribute trends of people in a specified location and for each time period. Attribute trend information may be accumulated.
[0027] The guidance processing unit 18 compares the attribute tendency determined by the attribute tendency determination unit 17 with the attribute tendency previously set by the user. A notification unit that notifies a user when to visit a specified location based on user attributes. For example, if the preset user attribute is "family," the guidance processing unit 18 We assume that if the family exceeds 50%, it is judged that "visit is necessary." Also, The attribute trends of people visiting a specified location are families, young couples, and others. In this case, the guidance processing unit 18 treats the specified point as " "I think it's worth a visit."
[0028] The guidance processing unit 18 notifies the user of the best time to visit the facility based on various information such as a specific time period and season. The notification by the guidance processing unit 18 may be a notification indicating the current position and the destination on a map. The attribute tendency may be displayed on the screen. In this case, the current position is acquired by GPS. A positioning system such as the Global Positioning System (GPS) may be used. ,As shown in FIG. 2, the notification method is not limited to this.
[0029] For example, when the user is a family with children, the guidance processing unit 18 It may be possible to recommend times when there are many people or when there are few couples or groups. At this time, the guidance processing unit 18 may provide guidance in the form of text information such as "This time period is There are a lot of families with children. It is predicted that there will be many families with children from this date onwards.
[0030] The guidance processing unit 18 may also have a function of outputting voice information. The unit 18 determines whether or not a user has an attribute, based on the information indicating the attribute of the user and the tendency determined by the attribute tendency determination unit 17, The guidance processing unit 18 may generate voice information for informing the user of the visiting time period. Calculate the estimated travel time to a location and schedule your departure to arrive at the desired location at the appropriate time. The information may also be provided in the form of a notification.
[0031] Here, the flow of the process performed by the information providing device 10 will be described with reference to FIG. is an appropriate visiting time at a specified location provided by the information providing device 10 in this embodiment. FIG. 13 is a flow diagram of a process for notifying an interval.
[0032] First, the user attribute acquisition unit 13 acquires user attributes based on information input by the user through the input unit 11. The location specification unit 12 receives the user's attribute from the input unit 11 (step 101). Based on the information inputted by the user, the location is specified (step 102). A video of a predetermined period of time at a point designated by the point designation unit 12 is selected from the SNS server 20. The person detection unit 15 detects a person included in the video selected by the video selection unit 14 (step 103). The attribute estimation unit 16 detects people at the specified point (step 104). The attribute tendency determining unit 17 estimates the attribute of the person detected by the attribute tendency determining unit 15 (step 105). The attributes of the person estimated by the attribute estimation unit 16 from the number of images and the user attributes set in advance by the user Based on the above, the attribute trends for each time period of a person visiting a specified location are determined. (Step 106). The guidance processing unit 18 performs a process based on the attribute tendency determined by the attribute tendency determination unit 17. The user is then notified when to visit the designated location (step 107).
[0033] As described above, the information providing device 10 in this embodiment provides information related to a location specified by a user. The person detection unit 15 obtains still images and moving images for a predetermined period from the SNS server 20. A person is detected from the acquired still image or moving image, and the attribute estimation unit 16 estimates the attributes of the person. The guidance processing unit 18 determines the user's attributes based on the predefined user attributes and the estimated user attributes. , and guide the user to the appropriate visiting time period.
[0034] Therefore, the information providing device 10 selects a visitor information appropriate for the user attributes set at the specified location. For example, if the user is a family with children, the time zone can be displayed. We can provide information on times when there are many people, or times that avoid times when there are many couples or groups.
[0035] <Embodiment 2> The configuration of the information providing system 1 in this embodiment will be described with reference to FIG. 1 is a configuration diagram of an information providing system 1 according to an embodiment. The processing device 10a and the terminal device 10b are provided with an SNS server 20. 0b can communicate with each other. Also, the processing device 10a and the SNS server 20 can communicate with each other. It is possible.
[0036] The terminal device 10b includes an input unit 11, a location designation unit 12, a user attribute acquisition unit 13, and a guidance processing unit. The processing device 10a includes a video selection unit 14, a person detection unit 15, and an attribute estimation unit 16. and an attribute tendency determining unit 17. The functions of each unit are the same as those of the first embodiment, so detailed explanations will not be given here. The processing device 10a is, for example, a server owned by a commercial facility or a business entity. The terminal device 10b may be, for example, a smartphone used by a user. However, the present invention is not limited to this and may be applicable to various terminal devices.
[0037] According to the information providing system 1 of this embodiment, a user can use the terminal device 10b. By this, it is possible to appropriately respond to the user attributes set at a specified point, regardless of time or place. It is possible to obtain information such as the most common visit times and the level of congestion at that time.
[0038] <Other embodiments> The information providing device 10 of the present invention includes an embodiment as an information providing method, for example. In other words, the information is provided by selecting a pre-specified video from among the videos distributed through the network. selecting an image relating to the location where the person was detected; and detecting a person included in the selected image. a step of estimating attributes of the detected person; and a step of estimating the attributes of the estimated person. Based on the user attributes set in advance, the person who visits the specified location is The method includes determining attribute trends for each time period.
[0039] The embodiments of the present disclosure have been described in detail above with reference to the drawings. The configuration is not limited to the above, and various configurations may be used without departing from the gist of the present disclosure. Design changes, etc. are possible. [Explanation of symbols]
[0040] 1 Information provision system 10 Information provision device 11 Input section 12 Location designation section 13 User attribute acquisition unit 14 Video selection section 15 Person detection section 16 Attribute estimation part 17 Attribute trend determination section 18 Guidance processing section 20 Social Networking Server
Claims
1. a guidance processing unit that determines a time when a user should visit a specific location based on an attribute tendency for each time period of a person visiting the location and a preset user attribute, and notifies the user of the time; the guidance processing unit determines the time when the user should visit the location based on at least one of a ratio of people having an attribute matching the user attribute and a ratio of people having a predetermined attribute different from the user attribute, both of which are indicated by the attribute tendency; Information provision device.
2. The computer 1. An information providing method, comprising: executing a guidance processing step of determining a time when a user should visit a predetermined location based on an attribute tendency for each time period of a person visiting the location and a preset user attribute, and notifying the user of the time, the guidance processing step determines a time when the user should visit the location based on at least one of a ratio of people having an attribute matching the user attribute, which is indicated by the attribute tendency, and a ratio of people having a predetermined attribute different from the user attribute; Information provision method.
Citation Information
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