JP6999237B2 - Guidance system - Google Patents

Description

The present invention relates to a guidance system.

As a conventional guidance system, for example, Patent Document 1 discloses an information processing apparatus including a detecting means, an estimating means, and a providing means. The detection means detects the flow of people. The estimation means estimates the attributes of the personnel constituting the person flow based on the person flow detected by the detection means. Then, the providing means provides information based on the attributes estimated by the estimating means.

Japanese Unexamined Patent Publication No. 2017-146380

By the way, the guidance system as described above has room for further improvement in, for example, providing guidance tailored to a specific individual.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a guidance system capable of providing guidance tailored to a specific individual.

In order to achieve the above object, the guidance system according to the present invention includes an image data representing an image including a person and a collecting device for collecting analysis data including position data representing the position where the image is captured. Based on a plurality of content output devices capable of outputting a plurality of contents, and the analysis data collected by the collection device, the attributes of the person included in the image represented by the image data, and the attributes are specified. A data analysis unit that analyzes the flow of a person who has been identified, a motion prediction unit that predicts the movement of a person whose attributes have been specified based on the flow of the person analyzed by the data analysis unit, and a data analysis unit. Based on the attributes of the person analyzed by, the content selection unit that selects the content to be output to the content output device from the plurality of contents, and the movement prediction unit predicts the movement of the person. The content output device is provided with an output destination determining unit for determining a content output device for outputting the content selected by the content selection unit from the plurality of content output devices, and the content output device determined by the output destination determination unit is provided. The content selected by the content selection unit is output to a person whose attributes are specified by the data analysis unit at a timing corresponding to the movement of the person predicted by the motion prediction unit. The content output device detects the line of sight of the person who is the target of providing the content, adjusts the amount of information of the content to be displayed based on the detected line of sight, and the line of sight of the person is on the content output device side. The amount of information of the content to be output is relatively large when it is suitable for, and the amount of information of the content to be output is relatively small when the line of sight of the person is not directed to the content output device side. Then, the feedback data corresponding to the output result of the content is transmitted to the device that manages the content output device, and the feedback data according to the output result of the content by the content output device is the target for providing the content. It is characterized by including information on the content of the content selected according to the attribute of the person and information on whether or not the content is actually output .
Further, in the guidance system, the plurality of collection devices and the plurality of content output devices are linked, and the content is continuously output according to the movement of the person whose attribute is specified, and the content output device is used. Further , it is possible to communicate with the mobile terminal possessed by the person who is the target of providing the content and transmit the data related to the content.

Further, in the guidance system, the collection device may be provided in a plurality of fixed bodies fixed on the road or in a building, or in a movable body that is movable.

Further, in the guidance system, the plurality of content output devices may be provided on a fixed body fixed on the road or in a building, or on a movable body that is movable.

Further, in the guidance system, the plurality of content output devices may be provided on a fixed body fixed on the road or in a building, or on a moving body traveling on the road surface.

In the guidance system according to the present invention, the attributes of a person included in the image represented by the image data and the flow of people are analyzed by the data analysis unit based on the analysis data collected by the collection device. Then, in the guidance system, the content output device determined by the output destination determination unit selects the content according to the attribute of the person by the content selection unit, and the timing according to the movement of the person predicted by the movement prediction unit. Output with. As a result, the guidance system has the effect of being able to provide guidance tailored to a specific individual.

FIG. 1 is a block diagram showing a schematic configuration of a guidance system according to the first embodiment. FIG. 2 is a flowchart showing an example of processing in the guidance system according to the first embodiment. FIG. 3 is a schematic diagram showing an example of the operation of the guidance system according to the first embodiment. FIG. 4 is a schematic diagram showing an example of the operation of the guidance system according to the first embodiment. FIG. 5 is a schematic diagram showing an example of the operation of the guidance system according to the first embodiment. FIG. 6 is a block diagram showing a schematic configuration of the guidance system according to the second embodiment.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the drawings. The present invention is not limited to this embodiment. In addition, the components in the following embodiments include those that can be easily replaced by those skilled in the art, or those that are substantially the same.

[Embodiment 1]
The guidance system 1 of the present embodiment shown in FIG. 1 includes a collection device 10, an analysis device 20, a content service device 30, and a plurality of content output devices 40, which are coordinated with each other to suit a specific individual. It is a real-time signage system that outputs content. The plurality of content output devices 40 are devices capable of outputting a plurality of contents. The guidance system 1 of the present embodiment analyzes the attributes of a specific person (individual) included in the captured image and the flow of the person to whom the attributes are specified, and responds to the attributes of the person according to the analysis result. The selected content is selected, and the selected content is output in advance by the content output device 40. Hereinafter, the configuration of the guidance system 1 will be described in detail with reference to each figure.

The collection device 10 collects analysis data used for identifying and analyzing a person to whom content is to be provided. The analysis data is data including image data representing an image including a person and position data representing the position where the image is captured. The analysis data is used for analysis of the attributes of a person by the analysis device 20 and the flow of the person. The collecting device 10 is typically provided on the fixed body F or the moving body V. The fixed body F on which the collecting device 10 is mounted is typically installed and fixed on the road or in a building. The fixed body F may be, for example, a structure such as a bus stop, a digital signage, a vending machine, a sign, a utility pole, etc. provided on the road, or may be a dedicated structure provided for installing the collecting device 10. It may be a structure. Further, the fixed body F on which the collecting device 10 is mounted may be, for example, a structure provided at the entrance / exit, inside, rooftop, or the like of a building such as a department store, a condominium, an office building, or a hotel. The moving body V on which the collecting device 10 is mounted is typically a movable object. Here, the moving body V is typically a vehicle traveling on the road surface, and is, for example, a private car, a rental car, a sharing car, a ride sharing car, a bus, a taxi, a truck, a transport vehicle, a work vehicle, or the like. It may be. The moving body V is not limited to this, and may be a flying body such as a flying car or a drone that flies in the air. The collecting device 10 is typically mounted on a plurality of fixed bodies F and a plurality of moving bodies V, respectively. That is, the guidance system 1 of the present embodiment includes a plurality of collection devices 10 mounted on each of the plurality of fixed bodies F and the plurality of mobile bodies V, and collects analysis data from the plurality of collection devices 10. It is possible. At least a part of the plurality of collecting devices 10 may be mounted on a vehicle that repeatedly travels on a predetermined route, for example, a route bus, a long-distance transport truck, or the like. Further, at least a part of the plurality of collection devices 10 may be mounted on a business vehicle managed by a business operator, for example, a sharing car, a ride sharing car, a taxi, or the like. As the collecting device 10 mounted on the mobile body V, for example, an in-vehicle device such as a so-called drive recorder mounted on the mobile body V can be used, but the collection device 10 is not limited to this.

Specifically, the collecting device 10 includes a camera 11, a position information measuring device 12, a communication unit (collecting device communication unit) 13, and a control unit 14.

The camera 11 is an image pickup device that captures an image including a person. The camera 11 typically captures a moving image including a person to whom the content is provided in the guidance system 1. The camera 11 is set so that the angle of view is such that a person can be imaged. When the collecting device 10 is provided on the fixed body F on the road, the camera 11 typically captures an image of the outside of the fixed body F. In this case, for example, the camera 11 is installed on the fixed body F so as to have an angle of view capable of capturing an image of a person on the road outside the fixed body F, and captures an image including the person on the road. When the collecting device 10 is provided in the fixed body F of the building, the camera 11 typically captures an image of the inside of the building in which the fixed body F is provided and the outside of the building. In this case, the camera 11 is installed on the fixed body F so as to have an angle of view capable of capturing an image of a person outside the building or a person inside the building, and the person outside the building or the building is used. Take an image that includes a person inside. When the collecting device 10 is provided in the moving body V, the camera 11 typically captures images inside the moving body V and outside the moving body V. In this case, the camera 11 is installed in the moving body V so as to have an image angle that allows, for example, a person inside the moving body V and a person located on the road outside the moving body V to be imaged. An image including an internal person and an external person of the moving body V is captured. In this case, the camera 11 can also take an image of the outside of the moving body V as the moving body V moves. A plurality of cameras 11 may be provided in each of the fixed body F and the moving body V so that a person at each position can be more preferably imaged. The camera 11 may be a monocular camera or a stereo camera. Further, the image captured by the camera 11 may be monochrome or color. The camera 11 captures an image as described above and collects image data representing the image. The camera 11 is communicably connected to the control unit 14, and outputs the collected image data to the control unit 14.

The position information measuring device 12 is a positioning device that measures the current position of the collecting device 10. As the position information measuring device 12, for example, a GPS receiver or the like that receives radio waves transmitted from a GPS (Global Positioning System) satellite can be used. The position information measuring instrument 12 receives radio waves transmitted from GPS satellites and acquires GPS information (latitude / longitude coordinates) as information indicating the current position of the collecting device 10, thereby detecting the position where the image is captured by the camera 11. Collect the position data to be represented. The position information measuring instrument 12 is communicably connected to the control unit 14, and outputs the collected position data to the control unit 14.

The communication unit 13 communicates various data between a device different from the collection device 10 and the collection device 10. The communication unit 13 of the present embodiment can transmit (output) analysis data to the analysis device 20 which is a device different from the collection device 10. The communication unit 13 transmits / receives data to / from a device different from the collection device 10 by communication via a network regardless of whether it is wired or wireless.

The control unit 14 comprehensively controls each unit of the collection device 10. The control unit 14 executes various arithmetic processes for collecting analysis data. The control unit 14 mainly includes a well-known microcomputer including a central processing unit such as a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and an interface. It is configured to include an electronic circuit. The control unit 14 is communicably connected to each unit such as the camera 11, the position information measuring instrument 12, and the communication unit 13, and can exchange various signals and data with each other.

More specifically, the control unit 14 includes a storage unit 14A and a processing unit 14B. The storage unit 14A and the processing unit 14B can exchange various signals and data with each other. The storage unit 14A stores conditions and information necessary for various processes in the processing unit 14B, various programs and applications executed by the control unit 14, control data, and the like. The storage unit 14A can store the analysis data together with the collected time and the like. In other words, the analysis data also includes time data and other data representing the time when the data was collected. The storage unit 14A can also temporarily store various data generated in the process of processing by the processing unit 14B, for example. In the storage unit 14A, these data are read out as needed by the processing unit 14B, the communication unit 13, and the like. The storage unit 14A can rewrite data such as a relatively large-capacity storage device such as a hard disk, SSD (Solid State Drive), and an optical disk, or data such as RAM, flash memory, and NVSRAM (Non Volatile Static Random Access Memory). It may be a semiconductor memory. The processing unit 14B executes various programs stored in the storage unit 14A based on various input signals and the like, and when the program operates, outputs an output signal to each unit and realizes various functions. Execute the process. The processing unit 14B controls the operation of the camera 11 and the position information measuring device 12, and executes a process of collecting analysis data including image data and position data. Further, the processing unit 14B executes processing related to data transmission / reception via the communication unit 13. The processing unit 14B executes, for example, a process of transmitting analysis data to the analysis device 20 via the communication unit 13.

The analysis device 20 analyzes the analysis data collected by the collection device 10 and provides the analysis result data representing the analysis result to the content service device 30. The analysis device 20 and the content service device 30 constitute a so-called cloud service type device (cloud server) mounted on a network. Based on the analysis data collected by the collection device 10, the analysis device 20 determines the attributes of the person included in the image represented by the image data constituting the analysis data, and the flow of the person to which the attributes are specified. To analyze. The analysis device 20 generates the person attribute data representing the attribute of the person and the attribute-specific person flow data representing the person flow of the person to whom the attribute is specified. Further, the analysis device 20 predicts the movement of the person whose attribute is specified based on the attribute-specific person flow data representing the person flow of the person whose attribute is specified, and the motion prediction data representing the predicted movement of the person. To generate. Then, the analysis device 20 provides the content service device 30 with analysis result data including person attribute data, attribute-specific human flow data, and motion prediction data.

The analysis device 20 executes various arithmetic processes for analyzing the attributes of a person and the flow of the person based on the analysis data. Further, the analysis device 20 executes various arithmetic processes for predicting the movement of the person whose attribute is specified based on the attribute-specific human flow data. The analysis device 20 includes a central processing unit such as a CPU and a GPU, a ROM, a RAM, and an electronic circuit mainly composed of a well-known microcomputer including an interface. The analysis device 20 can also be configured by installing an application that realizes various processes described below in a known computer system such as a PC or a workstation. The analysis device 20 does not necessarily constitute a cloud service type device, and may be configured by combining a plurality of PCs so as to be able to communicate with each other.

Specifically, the analysis device 20 includes a communication unit (analysis device communication unit) 21, a storage unit 22, and a processing unit 23. The communication unit 21, the storage unit 22, and the processing unit 23 can exchange various signals and data with each other.

The communication unit 21 communicates various data between a device different from the analysis device 20 and the analysis device 20. The communication unit 21 of the present embodiment can receive (input) analysis data from the collection device 10, which is a device different from the analysis device 20. Further, the communication unit 21 of the present embodiment can transmit (output) analysis result data to the content service device 30, which is a device different from the analysis device 20. Similar to the communication unit 13, the communication unit 21 transmits / receives data to / from a device different from the analysis device 20 by communication via a network regardless of whether it is wired or wireless.

The storage unit 22 stores conditions and information necessary for various processes in the processing unit 23, various programs and applications executed by the processing unit 23, control data, and the like. The storage unit 22 can store the analysis data received by the communication unit 21. The storage unit 22 can also temporarily store various data generated in the process of processing by the processing unit 23, for example. In the storage unit 22, these data are read out as needed by the communication unit 21, the processing unit 23, and the like. The storage unit 22 may be, for example, a storage device having a relatively large capacity such as a hard disk, SSD, or an optical disk, or a semiconductor memory such as a RAM, a flash memory, or an NVSRAM that can rewrite data.

More specifically, the storage unit 22 is functionally conceptually referred to as an analysis target database (hereinafter abbreviated as "analysis target DB") 22A and an analysis reference database (hereinafter abbreviated as "analysis reference DB"). It includes 22B and an analysis result database (hereinafter, abbreviated as "analysis result DB") 22C.

The analysis target DB 22A is a portion that accumulates analysis data (image data, position data, time data, etc.) that is analysis target data by the processing unit 23, creates a database, and stores the data. The analysis data input from the collection device 10 to the communication unit 21 is stored in the analysis target DB 22A.

The analysis reference DB 22B is a portion that stores the analysis reference data referred to when the processing unit 23 analyzes the analysis data, creates a database, and stores the data. The analysis reference data includes, for example, map reference data, attribute prediction reference data, and the like. The map reference data is data representing a map to be referred to when specifying the position of the collecting device 10 based on the position data or the like, in other words, the position where the image including a person is captured. The attribute prediction reference data is data referred to for estimating the attributes of a person included in the image represented by the image data. The attribute prediction reference data will be described in detail later. The analysis reference data is referred to by the processing unit 23 when the analysis data is analyzed.

The analysis result DB 22C is a portion that accumulates analysis result data representing the analysis result of the analysis data by the processing unit 23, creates a database, and stores the analysis result data. The analysis result data is predicted, for example, for the person attribute data representing the attribute of the person included in the image represented by the image data, the attribute-specific flow data representing the flow of the person whose attribute is specified, and the person whose attribute is specified. Includes movement prediction data and the like that represent the movement of the person. The analysis result data is transmitted and provided from the communication unit 21 to the content service device 30.

Various data stored in the analysis target DB 22A, the analysis reference DB 22B, and the analysis result DB 22C can be utilized as so-called big data.

The processing unit 23 executes various programs stored in the storage unit 22 based on various input signals and the like, and executes various processes for analyzing the analysis data by operating the program. In addition, the processing unit 23 executes various processes for predicting the movement of the person whose attribute is specified based on the attribute-specific human flow data. Further, the processing unit 23 executes processing related to data transmission / reception via the communication unit 21. The processing unit 23 executes, for example, a process of transmitting analysis result data to the content service device 30 via the communication unit 21.

More specifically, the processing unit 23 is functionally conceptually configured to include a data preprocessing unit 23A, a data analysis processing unit 23B as a data analysis unit, and a motion prediction processing unit 23C as a motion prediction unit. To.

The data pre-processing unit 23A is a portion that performs various pre-processing on the analysis data that is the analysis target data. As preprocessing, the data preprocessing unit 23A reads, for example, analysis data to be analysis target data from analysis target DB 22A, and executes a process of cutting out a still image from a moving image represented by the image data included in the analysis target data. .. Further, as preprocessing, the data preprocessing unit 23A executes, for example, a process of associating the cut out still image with the position represented by the position data included in the analysis data to be the analysis target data.

The data analysis processing unit 23B determines the attributes of the person included in the image represented by the image data and the flow of the person to whom the attributes are specified, based on the analysis data preprocessed by the data preprocessing unit 23A. This is the part to be analyzed. Here, the data analysis processing unit 23B uses, for example, various known artificial intelligence techniques and deep learning techniques to attribute the person included in the image represented by the image data, and the attributes thereof. Is configured to be able to execute the process of analyzing the flow of the identified person.

The data analysis processing unit 23B of the present embodiment uses various known image processing techniques to execute a process of detecting and extracting a person from a still image cut out by the data preprocessing unit 23A. Further, here, the data analysis processing unit 23B executes a process of extracting an image including the feature points of the person from the image represented by the image data. Here, the characteristic point of the person is a part where the attribute of the person can be specified in the person included in the image. The characteristic points of the person are, for example, a face where the person's facial expression appears, limbs where gestures / gestures appear, positions where accessories and the like tend to be easily attached, and the like. The data analysis processing unit 23B extracts, for example, an image showing a characteristic point of the person that can be used for specifying the attribute of the person from a large number of images captured from different angles.

Then, the data analysis processing unit 23B executes a process of analyzing the attributes of the person included in the image based on the image including the feature points of the person extracted from the image data. The data analysis processing unit 23B includes, for example, attribute prediction reference data (analysis reference data) stored in the analysis reference DB 22B and feature points of a person included in the image extracted from the image data by the data preprocessing unit 23A. Based on this, the attributes of the person concerned are analyzed. Here, the attribute prediction reference data reflects the result of learning the attributes of the person that can be estimated according to the characteristic points of the person included in the image by various methods using artificial intelligence technology and deep learning technology. Information. In other words, the attribute prediction reference data was created into a database using various methods using artificial intelligence technology and deep learning technology in order to estimate the attributes of the person based on the characteristic points of the person included in the image. It is data. This attribute prediction reference data can be updated sequentially. As the attribute prediction reference data, for example, the analysis result data (personal attribute data) itself representing the analysis result by the data analysis processing unit 23B can be used as the data for learning.

The attributes of a person analyzed by the data analysis processing unit 23B are typically items that can be analyzed from the characteristics of the appearance of the person, such as gender, age, physique, social status, and preferences of the person. Or, it includes behavioral orientation. Here, the gender is an attribute representing the distinction between male and female. Age is an attribute that represents the length of years from birth to the present (at that time). The physique is an attribute representing height, weight, various dimensions, and the like. Social status is an attribute that represents occupation (self-employed, businessman, police officer, student, unemployed, part-time job), annual income, status, companion, etc. Preference is an attribute representing a tendency of clothes / belongings / fashion (casual-oriented, elegant-oriented, brand-oriented, luxury-oriented, fast fashion-oriented), hobby (sports / subculture / outdoor / beauty, etc.). Behavioral orientation is an attribute that expresses the mood, interests (what you want to do, where you want to go), etc. at that time. That is, here, the data analysis processing unit 23B estimates gender, age, physique, social status, preference, behavioral orientation, etc. as the attributes of the person.

The data analysis processing unit 23B refers to the attribute prediction reference data and extracts the attributes (gender, age, physique, social status, preference, or behavior orientation) corresponding to the characteristic points of the person included in the image. It is presumed that the extracted attributes are the attributes of the person reflected in the image. The data analysis processing unit 23B refers to the attribute prediction reference data according to, for example, facial expressions, gestures / gestures of limbs, attached accessories, clothes, etc., which are characteristic points of the person included in the image. The attributes that match the characteristic points are matched, and the attributes such as gender, age, physique, social status, taste, and behavioral orientation of the person are estimated.

Further, the data analysis processing unit 23B executes a process of analyzing the flow of the person whose attributes are specified as described above based on the position data associated with the image data in which the attributes of the person are specified. The data analysis processing unit 23B reads, for example, the position data associated with the image data in which the attribute of the person is specified from the analysis target DB 22A. Then, the data analysis processing unit 23B analyzes the flow of the person whose attribute is specified based on the map reference data (analysis reference data) stored in the analysis reference DB 22B and the read position data. For example, the data analysis processing unit 23B refers to the map reference data and identifies the position where the image is captured based on the position data. Then, the data analysis processing unit 23B identifies the position of the person whose attribute is specified based on the position represented by the position data, and identifies the person flow by arranging the positions in chronological order. The flow of a person analyzed by the data analysis processing unit 23B is typically represented by the distribution, movement direction, movement speed, start point / end point, etc. of the person in each time zone. That is, here, the data analysis processing unit 23B estimates the distribution, movement direction, movement speed, start point / end point, etc. of the person in each time zone of the person whose attributes are specified.

As the analysis result data obtained by analyzing the analysis data, the data analysis processing unit 23B obtains the person attribute data representing the attribute of the person analyzed as described above and the attribute-specific person flow data representing the person flow of the person whose attribute is specified. Generate. Then, the data analysis processing unit 23B stores the generated analysis result data including the person attribute data and the attribute-specific human flow data in the analysis result DB 22C, creates a database, and stores the data.

The motion prediction processing unit 23C is a part that predicts the movement of a person whose attribute is specified based on the attribute-specific human flow data analyzed by the data analysis processing unit 23B. The motion prediction processing unit 23C executes a process of predicting the movement of the person whose attribute is specified based on the attribute-specific person flow data representing the person flow of the person whose attribute is specified. The motion prediction processing unit 23C uses various known techniques according to, for example, the distribution of the person in each time zone represented by the attribute-based human flow data, the movement direction, the movement speed, the start point / end point of the movement, and the like. , Predict the movement of the person whose attribute is specified. The motion prediction processing unit 23C generates, for example, a locus of prediction of the person with the passage of time as a movement of the person. The motion prediction processing unit 23C may predict, for example, the motion of a person whose attribute is specified by combining a plurality of attribute-specific human flow data.

The motion prediction processing unit 23C generates motion prediction data representing the motion of the person predicted as described above as the analysis result data obtained by analyzing the analysis data. Then, the motion prediction processing unit 23C accumulates the generated motion prediction data as analysis result data together with the above-mentioned person attribute data and attribute-specific human flow data in the analysis result DB 22C, and stores the generated motion prediction data in a database.

Then, as described above, the processing unit 23 obtains analysis result data including the person attribute data analyzed by the data analysis processing unit 23B, the person flow data by attribute, and the motion prediction data predicted by the motion prediction processing unit 23C. , The process of transmitting to the content service device 30 via the communication unit 21 is executed.

The content service device 30 selects content according to the person to whom the content is provided based on the analysis result data analyzed and predicted by the analysis device 20, and causes the predetermined content output device 40 to output the selected content. It is a thing. The content service device 30 constitutes a so-called cloud service type device mounted on the network as described above. The content service device 30 selects the content to be provided to the person whose attribute is specified, based on the analysis result data transmitted and provided from the analysis device 20. Further, the content service device 30 determines a content output device 40 for outputting the selected content based on the analysis result data transmitted and provided from the analysis device 20. The content service device 30 generates various data related to the selected content, and transmits the data to the content output device 40 for displaying the content.

The content service device 30 executes various arithmetic processes for selecting content according to the attributes of the specified person based on the analysis result data. Further, the content service device 30 executes various arithmetic processes for determining the content output device 40 for outputting the selected content based on the analysis result data. The content service device 30 includes a central processing unit such as a CPU and a GPU, a ROM, a RAM, and an electronic circuit mainly composed of a well-known microcomputer including an interface. The content service device 30 can also be configured by installing an application that realizes various processes described below on a known computer system such as a PC or a workstation. The content service device 30 does not necessarily constitute a cloud service type device, and may be configured by combining a plurality of PCs so as to be able to communicate with each other.

Specifically, the content service device 30 includes a communication unit (content service device communication unit) 31, a storage unit 32, and a processing unit 33. The communication unit 31, the storage unit 32, and the processing unit 33 can exchange various signals and data with each other.

The communication unit 31 communicates various data between a device different from the content service device 30 and the content service device 30. The communication unit 31 of the present embodiment can receive (input) analysis result data from the analysis device 20 which is a device different from the content service device 30. Further, the communication unit 31 of the present embodiment can transmit (output) various data related to the selected content to the content output device 40, which is a device different from the content service device 30. Similar to the communication units 13 and 21, the communication unit 31 transmits / receives data to / from a device different from the content service device 30 by communication via a network regardless of whether it is wired or wireless.

The storage unit 32 stores conditions and information necessary for various processes in the processing unit 33, various programs and applications executed by the processing unit 33, control data, and the like. The storage unit 32 can store the analysis result data received by the communication unit 31. The storage unit 32 can also temporarily store various data generated in the process of processing by the processing unit 33, for example. In the storage unit 32, these data are read out as needed by the communication unit 31, the processing unit 33, and the like. The storage unit 32 may be, for example, a storage device having a relatively large capacity such as a hard disk, SSD, or an optical disk, or a semiconductor memory such as a RAM, a flash memory, or an NVSRAM that can rewrite data.

More specifically, the storage unit 32 is functionally conceptually configured to include a content database (hereinafter, abbreviated as “content DB”) 32A.

The content DB 32A is a portion that stores and stores content data representing the content to be output to the content output device 40 as a database. Here, as the content to be output to the content output device 40, in addition to the content such as advertisements and coupons, various guidance information such as regional information, route information to a predetermined facility, evacuation route / safety support information in the event of a disaster, etc. It may include constituent content. A plurality of different types of content data representing candidate contents that may be output to the content output device 40 are stored in the content DB 32A according to the attributes of a person or the like. The content data stored in the content DB 32A can be sequentially updated. As for the content data stored in the content DB 32A, when the content selected from the plurality of contents is output to the specific content output device 40, the content data corresponding to the content to be output is output from the communication unit 21 each time. It may be transmitted and downloaded to the specific content output device 40. Further, the content data stored in the content DB is a time zone in which network traffic is relatively low, such as at night, when the content data corresponding to all the candidate contents that may be output to the content output device 40 is available. It may be collectively transmitted and downloaded from the communication unit 21 to each content output device 40.

The processing unit 33 executes various programs stored in the storage unit 32 based on various input signals and the like, and executes various processes for selecting contents by operating the program. Further, the processing unit 33 executes various processes for determining the content output device 40 for outputting the content. Further, the processing unit 33 executes processing related to data transmission / reception via the communication unit 31. The processing unit 33 executes, for example, a process of transmitting various data related to the selected content to the content output device 40 for outputting the content via the communication unit 31.

More specifically, the processing unit 33 is functionally conceptually configured to include a content selection processing unit 33A as a content selection unit and an output destination determination processing unit 33B as an output destination determination unit.

The content selection processing unit 33A is a unit that selects content to be output to the content output device 40 from a plurality of contents stored in the content DB 32A based on the attributes of the person analyzed by the data analysis processing unit 23B. The content selection processing unit 33A has the person attribute data from a plurality of contents stored in the content DB 32A based on the person attribute data included in the analysis result data transmitted from the analysis device 20 and received by the communication unit 31. Executes the process of selecting the content corresponding to the attribute of the person represented by. For example, when the attribute of the person represented by the person attribute data includes attributes such as women, young people, and casual orientation, the content selection processing unit 33A represents content for women's and young people's casual clothing advertisements and coupons. May be selected. Further, for example, when the attribute of the person represented by the person attribute data includes attributes such as male, middle-aged, and high-class oriented, the content selection processing unit 33A may select the content representing the advertisement of the high-class wristwatch. good. Further, for example, when the attribute of the person represented by the person attribute data is an attribute including sports hobbies, the content selection processing unit 33A selects the content representing the sporting event or ticket information at the nearest stadium. You may. Further, for example, when the attribute of the person represented by the person attribute data is an attribute including an artistic taste, an interest in art, etc., the content selection processing unit 33A selects the content indicating the route to the nearest museum. You may do it. Further, for example, when the attribute of the person represented by the person attribute data is an attribute including a state requiring disaster evacuation, rescue, etc., the content selection processing unit 33A provides content indicating an evacuation route to an evacuation center and safety support. You may choose. Further, when the content selection processing unit 33A selects the content, for example, the current time, the calendar, the season, and the like are also taken into consideration, and the content corresponding to the attribute of the person represented by the person attribute data is selected. You may.

The output destination determination processing unit 33B outputs a content output device 40 that outputs the content selected by the content selection processing unit 33A from the plurality of content output devices 40 based on the movement of the person predicted by the motion prediction processing unit 23C. It is the part to decide. The output destination determination processing unit 33B identifies attributes from the plurality of content output devices 40 based on the attribute-specific human flow data and motion prediction data included in the analysis result data transmitted from the analysis device 20 and received by the communication unit 31. A process of determining a content output device 40 to output the selected content to the person is executed. For example, the content selection processing unit 33A may use the distribution, movement direction, movement speed, start point / end point of movement of the person in each time zone represented by the attribute-based human flow data, the predicted movement of the person represented by the movement prediction data, and the passage of time. A content output device 40 capable of proactively outputting and recognizing the content selected above to the person from among a plurality of content output devices 40 based on the trajectory of the person's prediction accompanying the above. decide.

Then, as described above, the processing unit 33 transfers various data related to the content selected by the content selection processing unit 33A to the content output device 40 determined by the output destination determination processing unit 33B, and the communication unit 31. Executes the process of sending via. For example, in the case of the specification that the content data stored in the content DB 32A is transmitted to the content output device 40 each time, the processing unit 33 uses the content selected by the content selection processing unit 33A as the data related to the content. The represented content data itself is transmitted to the content output device 40. On the other hand, in the case of the specification that the processing unit 33 collectively transmits a plurality of content data stored in the content DB to the content output device 40 in advance at a predetermined time zone, the processing unit 33 can be used as data related to the content. Identification data that can identify the selected content from a plurality of contents is transmitted to the content output device 40.

The guidance system 1 may include a plurality of the content service devices 30 described above.

As described above, the plurality of content output devices 40 are devices capable of outputting a plurality of contents. The plurality of content output devices 40 may be provided on the fixed body F or the moving body V in the same manner as the collecting device 10. At least a part of the plurality of content output devices 40 may be integrally configured with the above-mentioned collection device 10.

Specifically, the content output device 40 includes an output device 41, a communication unit (content output device communication unit) 42, and a control unit 43.

The output device 41 is a device that outputs content. The output device 41 includes a display 41A capable of displaying an image corresponding to the content, a speaker 41B capable of outputting sound / sound according to the content, and the like.

The communication unit 42 communicates various data between a device different from the content output device 40 and the content output device 40. The communication unit 42 of the present embodiment can receive (input) various data related to the content to be output by the output device 41 from the content service device 30, which is a device different from the content output device 40. Further, the communication unit 42 of the present embodiment can transmit (output) feedback data according to the output result of the content to the content service device 30, which is a device different from the content output device 40. Similar to the communication units 13, 21, and 31, the communication unit 42 transmits / receives data to / from a device different from the content service device 30 by communication via a network regardless of whether it is wired or wireless.

The control unit 43 comprehensively controls each unit of the content output device 40. The control unit 43 executes various arithmetic processes for outputting the content. The control unit 43 includes a central processing unit such as a CPU and a GPU, a ROM, a RAM, and an electronic circuit mainly composed of a well-known microcomputer including an interface. The control unit 43 is communicably connected to each unit such as the output device 41 and the communication unit 42, and can exchange various signals and data with each other.

The control unit 43 includes a storage unit 43A and a processing unit 43B. The storage unit 43A and the processing unit 43B can exchange various signals and data with each other. The storage unit 43A stores conditions and information necessary for various processes in the processing unit 43B, various programs and applications executed by the processing unit 43B, control data, and the like. The storage unit 43A can store various data related to the content received by the communication unit 42. The storage unit 43A can also temporarily store various data generated in the process of processing by the processing unit 43B, for example. In the storage unit 43A, these data are read out as needed by the communication unit 42, the processing unit 43B, and the like. The storage unit 43A may be, for example, a storage device having a relatively large capacity such as a hard disk, SSD, or an optical disk, or a semiconductor memory such as a RAM, a flash memory, or an NVSRAM that can rewrite data. The processing unit 43B executes various programs stored in the storage unit 43A based on various input signals and the like, and when the program operates, outputs an output signal to each unit and realizes various functions. Execute the process. The processing unit 43B controls the operation of the output device 41 and executes a process of outputting the content. Further, the processing unit 43B executes processing related to data transmission / reception via the communication unit 42. The processing unit 43B executes, for example, a process of receiving various data related to the content to be output by the output device 41 from the content service device 30 via the communication unit 42. Further, the processing unit 43B executes, for example, a process of transmitting feedback data according to the output result of the content to the content service device 30 via the communication unit 42.

More specifically, the storage unit 43A is functionally conceptually configured to include a content database (hereinafter, abbreviated as “content DB”) 43Aa. Further, the processing unit 43B is functionally conceptually configured to include an output processing unit 43Ba and a feedback unit 43Bb.

The content DB 43Aa is a portion that stores and stores content data representing the content to be output to the content output device 40 as a database. The content data input from the content service device 30 to the communication unit 42 is stored in the content DB 43Aa. As described above, the content data stored in the content DB 43Aa may be received from the content service device 30 each time the content is output to the output device 41, or a plurality of the content data may be collectively received in advance in a predetermined time zone. You may receive it at.

The output processing unit 43Ba is a unit that controls the operation of the output device 41 and outputs the content. The output processing unit 43Ba processes the output device 41 to output the content corresponding to the attribute of the person whose attribute is specified, based on various data related to the content transmitted from the content service device 30 and received by the communication unit 42. To execute. The output processing unit 43Ba controls the display 41A constituting the output device 41 to display an image corresponding to the content. Further, the output processing unit 43Ba controls the speaker 41B constituting the output device 41 to output sound / voice corresponding to the content. When the output processing unit 43Ba is designed to transmit the content data stored in the content DB 32A to the content DB 43Aa of the content output device 40 each time, the output processing unit 43Ba is based on the content data itself transmitted from the content service device 30. , The content is output to the output device 41. When the output processing unit 43Ba is designed to transmit a plurality of content data stored in the content DB 32A to the content DB 43Aa of the content output device 40 in a batch in advance at a predetermined time zone, the output processing unit 43Ba transmits the content data from the content service device 30. The content data corresponding to the identified identification data is read from the content DB 43Aa. Then, the output processing unit 43Ba causes the output device 41 to output the content corresponding to the read content data. Then, the content output device 40 determined by the output destination determination processing unit 33B transfers the content selected by the content selection processing unit 33A to the person whose attributes are specified by the data analysis processing unit 23B, and the motion prediction processing unit. It is output at the timing according to the movement of the person predicted by 23C.

The output processing unit 43Ba may use a camera or the like to detect the line of sight of the person to whom the content is provided, and adjust the amount of information of the content to be displayed by the output device 41 based on the detected line of sight. .. For example, when the line of sight of the person to whom the content is provided is directed toward the output device 41, the output processing unit 43Ba relatively increases the amount of information of the content to be output to the output device 41. On the other hand, the output processing unit 43Ba relatively reduces the amount of information of the content to be output to the output device 41, for example, when the line of sight of the person to whom the content is provided is not directed to the output device 41 side. Further, the output processing unit 43Ba is, for example, an image for guiding the line of sight to the output device 41 to the output device 41 side when the line of sight of the person to whom the content is provided is not directed to the output device 41 side. Or voice may be output. With this configuration, the content output device 40 can more appropriately output the content according to the state of the line of sight of the person to whom the content is provided.

The feedback unit 43Bb is a part that feeds back the output result of the content by the output device 41 to the content service device 30. The feedback unit 43Bb executes a process of transmitting feedback data according to the output result of the content by the output device 41 to the content output device 40 via the communication unit 42. As the feedback data according to the output result of the content by the output device 41, for example, information about the content of the content selected according to the attribute of the person to whom the content is provided, and whether or not the content is actually output. Information and the like may be included. In addition to the content service device 30, the feedback unit 43Bb also distributes the feedback data to a management device or the like that divides a plurality of content output devices 40 into groups and collectively manages the content output devices 40 in the group. You may send it.

Next, an example of processing in the guidance system 1 will be described with reference to the flowchart of FIG.

First, the collecting device 10 collects analysis data including image data and position data (step S1).

Next, the collecting device 10 outputs the collected analysis data via the communication unit 13 and inputs the collected analysis data to the analysis device 20 via the communication unit 21 (step S2). The analysis data input to the analysis device 20 is stored in the analysis target DB 22A.

Next, the data pre-processing unit 23A of the analysis device 20 performs various pre-processing as described above on the analysis data stored in the analysis target DB 22A (step S3).

Next, the data analysis processing unit 23B of the analysis device 20 has the attributes of the person included in the image represented by the image data and the attributes of the person based on the analysis data preprocessed by the data preprocessing unit 23A. The flow of the identified person is analyzed (step S4).

Then, the data analysis processing unit 23B generates personal attribute data and attribute-specific human flow data as analysis result data, stores them in the analysis result DB 22C, and stores them in a database (step S5).

Next, the motion prediction processing unit 23C of the analysis device 20 predicts the movement of the person whose attribute is specified based on the attribute-specific human flow data representing the flow of the person whose attribute is specified by the data analysis processing unit 23B. .. Then, the motion prediction processing unit 23C generates motion prediction data as analysis result data, accumulates it in the analysis result DB 22C together with the person attribute data and the attribute-specific human flow data, and stores it in a database (step S6).

Next, the analysis device 20 outputs the analyzed analysis result data (person attribute data, attribute-specific human flow data, motion prediction data) via the communication unit 21, and inputs the analyzed analysis result data to the content service device 30 via the communication unit 31. (Step S7).

Next, the content selection processing unit 33A of the content service device 30 determines the person represented by the person attribute data from among the plurality of contents stored in the content DB 32A based on the person attribute data included in the analysis result data. Select the content corresponding to the attribute (step S8).

Next, the output destination determination processing unit 33B of the content service device 30 is a person whose attributes are specified from among a plurality of content output devices 40 based on the attribute-specific human flow data and motion prediction data included in the analysis result data. The content output device 40 for outputting the selected content is determined (step S9).

Next, the output processing unit 43Ba of the content output device 40 determined in the process of step S9 controls the output device 41, and selects the person whose attribute is specified in the process of step S4 in the process of step S8. The generated content is output at a timing corresponding to the movement of the person predicted in the process of step S6 (step S10).

Next, the feedback unit 43Bb of the content output device 40 that outputs the content in the process of step S10 feeds back the feedback data according to the output result of the content by the output device 41 to the content service device 30 (step S11), and a series of feedbacks. Ends the processing of.

Next, an example of the operation of the guidance system 1 will be described with reference to the schematic views of FIGS. 3, 4, and 5.

For example, in the example shown in FIG. 3, the guidance system 1 collects analysis data including image data and position data by a collection device 10 provided in a fixed body F such as a bus stop. Then, in the guidance system 1, the analysis data collected by the collection device 10 is transmitted to the analysis device 20, and the analysis device 20 analyzes the data. Then, in the guidance system 1, the analysis result data analyzed by the analysis device 20 is transmitted to the content service device 30, and the content service device 30 selects the content according to the attribute of the person and the selected content. The output destination is determined. Then, in the guidance system 1, the selected content is predicted by the content output device 40 provided in the fixed body F such as a bus stop located at a position away from the fixed body F in which the collecting device 10 is provided. It is output ahead of time according to the movement of the person. After that, the guidance system 1 transmits feedback data according to the output result of the content from the content output device 40 to the content service device 30.

Further, for example, in the example shown in FIG. 4, the guidance system 1 collects analysis data including image data and position data by a collection device 10 provided on a moving body V such as a bus. Then, in the guidance system 1, the analysis data collected by the collection device 10 is transmitted to the analysis device 20, and the analysis device 20 analyzes the data. Then, in the guidance system 1, the analysis result data analyzed by the analysis device 20 is transmitted to the content service device 30, and the content service device 30 selects the content according to the attribute of the person and the selected content. The output destination is determined. Then, in the guidance system 1, the selected content is advanced at the timing corresponding to the predicted movement of the person by the content output device 40 provided in the same mobile body V as the mobile body V in which the collection device 10 is provided. Is output. After that, the guidance system 1 transmits feedback data according to the output result of the content from the content output device 40 to the content service device 30.

Further, for example, in the example shown in FIG. 5, in the guidance system 1, analysis data including image data and position data is collected by a collection device 10 provided on a moving body V such as a bus. Then, in the guidance system 1, the analysis data collected by the collection device 10 is transmitted to the analysis device 20, and the analysis device 20 analyzes the data. Then, in the guidance system 1, the analysis result data analyzed by the analysis device 20 is transmitted to the content service device 30, and the content service device 30 selects the content according to the attribute of the person and the selected content. The output destination is determined. Then, the guidance system 1 is proactively output by the content output device 40 provided on the fixed body F such as the rooftop of the building at the timing corresponding to the predicted movement of the person. After that, the guidance system 1 transmits feedback data according to the output result of the content from the content output device 40 to the content service device 30.

Then, the guidance system 1 responds to the movement of the person whose attribute is specified by linking a plurality of collection devices 10 and a plurality of content output devices 40 and combining the examples shown in FIGS. 3, 4, 5, and the like. It is also possible to output the contents continuously. The content output device 40 further communicates with a mobile terminal (smartphone) owned by a person to whom the content is provided as a device different from the content output device 40 via the communication unit 42, and the output device 41 communicates with the mobile terminal (smartphone). Various data related to the content to be output may be transmitted. In this case, the processing unit 43B transmits various data related to the content to the mobile terminal possessed by the person to whom the content is provided, for example, by short-range wireless communication with a limited communication target via the communication unit 42. The process may be executed. Further, in this case, for example, the guidance system 1 transmits a coupon corresponding to the content output by the content output device 40 provided in the fixed body F such as a bus stop to the mobile terminal, or corresponds to the coupon on the display 41A. A QR code (registered trademark) or the like may be displayed and urged to be read by a mobile terminal. Further, the guidance system 1 outputs, for example, a voice such as "Would you like to take a picture?" From the speaker 41B when a student group including a person to be provided with the content passes near the content output device 40 to output the content. It may be guided to the output device 40 side, a photograph may be taken by the built-in camera, transferred to the mobile terminal, and at the time of transfer, a band advertisement may be attached to the photograph and transmitted to the mobile terminal.

In the guidance system 1 described above, the data analysis processing unit 23B analyzes the attributes of the person included in the image represented by the image data and the flow of people based on the analysis data collected by the collection device 10. Then, in the guidance system 1, the content output device 40 determined by the output destination determination processing unit 33B predicts the content selected by the content selection processing unit 33A according to the attribute of the person by the motion prediction processing unit 23C. It is output at the timing according to the movement of the person. As a result, the guidance system 1 can output the content according to the attribute of the person to the specific person in advance at the timing according to the movement of the person, and thus is tailored to the specific individual. Guidance can be provided. That is, the guidance system 1 predicts where a specific person whose attribute has been analyzed (including stay) is predicted, selects content corresponding to the attribute in real time, and outputs the content according to the movement of the person. be able to.

Further, in the guidance system 1 described above, since a plurality of collection devices 10 are provided on the fixed body F and the moving body V, a plurality of content output devices 40 are provided based on the analysis data collected by the plurality of collection devices 10. Allows dynamic continuous guidance.

Further, in the guidance system 1 described above, since a plurality of content output devices 40 are provided on the fixed body F and the moving body V, the content is output and guided at an appropriate timing according to the movement of the person whose attribute is specified. It can be performed.

As an example, the guidance system 1 described above estimates gender, age, physique, social status, preference, behavioral orientation, etc. as attributes of a person included in an image represented by image data. As a result, the guidance system 1 can provide guidance that reflects gender, age, physique, social status, taste, behavioral orientation, etc., according to a specific individual.

[Embodiment 2]
The guidance system according to the second embodiment has a different configuration of the collecting device and the analysis device from the first embodiment. In the following, the same components as those in the above-described embodiment are designated by a common reference numeral, and the common configurations, actions, and effects will be omitted as much as possible.

The guidance system 201 according to the present embodiment shown in FIG. 6 is different from the above-mentioned guidance system 1 in that the collection device 210 is provided instead of the collection device 10 and the analysis device 220 is provided instead of the analysis device 20. The other configurations of the guidance system 201 are substantially the same as those of the guidance system 1.

In the guidance system 201 of the present embodiment, a part of the functions of the analysis device 20 described above is incorporated in the collection device 210 side, and the remaining part of the analysis device 20 constitutes the analysis device 220. More specifically, the guidance system 201 employs a so-called edge computing system by incorporating the data preprocessing unit 23A and the data analysis processing unit 23B of the analysis device 20 described above into the collection device 210 side.

The collecting device 210 of the present embodiment is different from the above-mentioned collecting device 10 in that the processing unit 214B is provided in place of the processing unit 14B. The other configurations of the collecting device 210 are substantially the same as those of the collecting device 10. The processing unit 214B is functionally conceptually configured to include a data collection processing unit 214Ba, a data preprocessing unit 214Bb, and a data analysis processing unit 214Bc as a data analysis unit.

The data collection processing unit 214Ba is a unit that controls the camera 11 and the position information measuring device 12 to collect image data and analysis data including position data. The data collection processing unit 214Ba controls the operation of the camera 11 and the position information measuring device 12, and executes a process of collecting analysis data including image data and position data.

The data pre-processing unit 214Bb is a portion that performs various pre-processing on the analysis target data, which is the analysis target data, similarly to the data pre-processing unit 23A described above. As preprocessing, the data preprocessing unit 214Bb executes, for example, a process of cutting out a still image from a moving image represented by image data included in the analysis data collected by the data collection processing unit 214Ba. Further, the data preprocessing unit 214Bb executes, for example, as a preprocessing, a process of associating the cut out still image with the position represented by the position data included in the analysis data collected by the data collection processing unit 214Ba. ..

Similar to the data analysis processing unit 23B described above, the data analysis processing unit 214Bc has the attributes of the person included in the image represented by the image data and the attributes of the person based on the analysis data preprocessed by the data preprocessing unit 214Bb. , This is the part that analyzes the flow of the person whose attribute is specified. The data analysis processing unit 214Bc executes a process of detecting and extracting a person from a still image cut out by the data preprocessing unit 214Bb. The data analysis processing unit 214Bc executes a process of extracting an image including the feature points of the person from the image represented by the image data. The data analysis processing unit 214Bc executes a process of analyzing the attributes of the person included in the image based on the image including the feature points of the person extracted from the image data. The data analysis processing unit 214Bc executes a process of analyzing the flow of the person whose attribute is specified based on the position data associated with the image data in which the attribute of the person is specified. The data analysis processing unit 214Bc of the present embodiment has analysis reference data (map reference data, attributes) stored in the analysis reference DB 22B via the communication unit 13 when analyzing the attributes of the person and the flow of the person. Prediction reference data) will be referred to as appropriate.

As the analysis result data obtained by analyzing the analysis data, the data analysis processing unit 214Bc obtains the person attribute data representing the attribute of the person analyzed as described above and the attribute-specific person flow data representing the person flow of the person whose attribute is specified. Generate. Then, the processing unit 214B of the present embodiment executes a process of transmitting the analysis result data including the person attribute data and the person flow data according to the attribute to the analysis device 220 via the communication unit 13 together with the analysis data. do.

The analysis device 220 of the present embodiment is different from the above-mentioned analysis device 20 in that the processing unit 223 is provided instead of the processing unit 23. The other configurations of the analysis device 220 are substantially the same as those of the analysis device 20. The processing unit 223 of the present embodiment is similar to the above-mentioned processing unit 23 in that it is functionally conceptually configured to include the movement prediction processing unit 23C as the movement prediction unit, while the above-mentioned data pre-processing unit 23A. It is different from the above-mentioned processing unit 23 in that it does not include the data analysis processing unit 23B. In other words, the analysis device 220 of the present embodiment constitutes a motion prediction device mainly composed of the motion prediction processing unit 23C.

The communication unit 21 of the present embodiment can receive (input) analysis data and analysis result data (person attribute data, attribute-specific human flow data) from the collection device 210, which is a device different from the analysis device 220. The analysis data input from the collection device 210 to the communication unit 21 is stored in the analysis target DB 22A. Similarly, the analysis result data (person attribute data, attribute-specific human flow data) input from the collection device 210 to the communication unit 21 is stored in the analysis result DB 22C.

Then, the motion prediction processing unit 23C generates motion prediction data representing the predicted motion of the person, and stores the generated motion prediction data in the analysis result DB 22C as analysis result data together with the above-mentioned person attribute data and attribute-specific human flow data. Make a database and store it. Then, the processing unit 223 transmits the analysis result data including the person attribute data, the attribute-specific human flow data, and the motion prediction data stored in the analysis result DB 22C to the content service device 30 via the communication unit 21. To execute.

Similar to the guidance system 1, the guidance system 201 described above can provide guidance tailored to a specific individual. In addition, the guidance system 201 can suppress the calculation load in the analysis device 220 and distribute the calculation load to the collection device 210 side.

The guidance system according to the embodiment of the present invention described above is not limited to the embodiment described above, and various modifications can be made within the scope described in the claims. The guidance system according to the present embodiment may be configured by appropriately combining the components of each of the embodiments and modifications described above.

In the guidance systems 1 and 201 described above, the analysis devices 20 and 220 and the content service device 30 may be integrated into one device. Further, for example, the motion prediction processing unit 23C may be provided on the content service device 30 side.

In the guidance systems 1 and 201 described above, for example, a plurality of content service devices 30 managed by different businesses may cooperate with each other, for example, a plurality of content service devices 30 and a plurality of content output devices 40. May form a network with each other.

The control units 14, 43, the analysis devices 20, 220, and the content service device 30 described above are configured as separate units, and the respective units are configured to be connected to each other so that various electric signals can be exchanged. However, some functions may be realized by other control devices. Further, the programs, applications, various data and the like described above may be updated as appropriate, or may be stored in a server connected to the guidance systems 1 and 201 via an arbitrary network. The programs, applications, various data and the like described above can be downloaded in whole or in part as needed. Further, for example, with respect to the processing functions provided in the control units 14, 43, the analysis devices 20, 220, and the content service device 30, all or any part thereof is interpreted and executed by, for example, a CPU or the like and the CPU or the like. It may be realized by a program, or it may be realized as hardware by wired logic or the like.

1,201 Guidance system 10,210 Collection device 20,220 Analysis device 23B, 214Bc Data analysis processing unit (data analysis unit)
23C Motion prediction processing unit (motion prediction unit)
30 Content service device 33A Content selection processing unit (content selection unit)
33B Output destination determination processing unit (output destination determination unit)
40 Content output device F Fixed body V Mobile body

Claims (5)

An image data representing an image including a person, and a collecting device for collecting analysis data including position data representing the position where the image is captured, and a collecting device.
Multiple content output devices that can output multiple contents each, and
Based on the analysis data collected by the collection device, the data analysis unit that analyzes the attributes of the person included in the image represented by the image data and the flow of the person to which the attributes are specified, and the data analysis unit.
A motion prediction unit that predicts the movement of a person whose attributes are specified based on the flow of the person analyzed by the data analysis unit.
A content selection unit that selects content to be output to the content output device from the plurality of contents based on the attributes of the person analyzed by the data analysis unit.
Based on the movement of the person predicted by the motion prediction unit, the plurality of content output devices include an output destination determination unit that determines a content output device for outputting the content selected by the content selection unit. ,
The content output device determined by the output destination determination unit predicts the content selected by the content selection unit for a person whose attribute is specified by the data analysis unit by the motion prediction unit. It is output at the timing according to the movement of the person.
The content output device detects the line of sight of the person who is the target of providing the content, adjusts the amount of information of the content to be displayed based on the detected line of sight, and the line of sight of the person is directed to the content output device side. If the content is oriented, the amount of information of the content to be output is relatively large, and if the person's line of sight is not directed toward the content output device, the amount of information of the content to be output is relatively small . , Send feedback data according to the output result of the content to the device that manages the content output device.
The feedback data according to the output result of the content by the content output device is information about the content of the content selected according to the attribute of the person to whom the content is provided, and the content is actually used. It is characterized by containing information on whether or not it has been output .
Guidance system. A plurality of the collecting devices are provided on a fixed body fixed on the road or in a building, or on a movable body that is movable.
The guidance system according to claim 1. The plurality of content output devices are provided on a fixed body fixed to a road or a building, or a movable body that is movable.
The guidance system according to claim 1 or 2. The attributes of the person analyzed by the data analysis unit include gender, age, physique, social status, preference, or behavioral orientation.
The guidance system according to any one of claims 1 to 3. The plurality of collection devices and the plurality of content output devices are linked, and the content is continuously output according to the movement of the person whose attribute is specified.
The content output device further communicates with a mobile terminal owned by the person to whom the content is provided, and transmits data related to the content.
The guidance system according to any one of claims 1 to 4.

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