Information Processing Apparatus, Information Processing Method, and Program

The information processing apparatus analyzes vehicle attributes in parking lots to enhance user demographic analysis, enabling targeted service planning and improved profit through personalized offerings.

JP7698781B1Active Publication Date: 2025-06-25KDDI CORP
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Patent Information

Application Number
JP2024224119
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2024-12-19
Publication Date
2025-06-25
Estimated Expiration
2044-12-19

AI Technical Summary

Technical Problem

Stores struggle to grasp the usage tendencies of their users based on the attributes of the vehicles parked in their parking lots, which are indicative of user preferences and demographics, hindering personalized service provision.

Method used

An information processing apparatus that analyzes images of vehicles in parking lots, associates vehicle attributes with user settlement information, and records this data to determine provision plans based on passenger attributes, enabling targeted service offerings.

Benefits of technology

Enhances the accuracy of identifying user attributes for personalized service planning, improving profit by aligning offerings with vehicle user demographics and preferences.

✦ Generated by Eureka AI based on patent content.

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Abstract

The store provides a mechanism for grasping the usage tendency of a user according to the attributes of the user's vehicle. 【Solution means】 The information processing device 1 includes an image acquisition unit 131 that acquires a captured image obtained by a camera installed in a parking lot used by a user of the store capturing a vehicle in use in the parking lot, a specific unit 132 that analyzes the captured image acquired by the image acquisition unit 131 and specifies the attributes of the vehicle in use included in the captured image and an identification number for identifying the vehicle in use, an actuarial information acquisition unit 133 that acquires actuarial information including the identification number and provided specific information, and a recording unit 134 that records, in association with each other in the storage unit 12, the attributes of the vehicle in use specified by the specific unit together with the identification number included in the actuarial information acquired by the actuarial information acquisition unit 133, and information indicating the provided content specified based on the provided specific information included in the actuarial information acquired by the actuarial information acquisition unit 133.
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Description

Technical Field

[0001] The present invention relates to an information processing apparatus, an information processing method, and a program.

Background Art

[0002] Conventionally, a system for acquiring various information by analyzing a captured image has been known. Patent Document 1 discloses a technique for analyzing a captured image captured by an imaging device attached to a traffic signal and specifying vehicle attributes such as the type of vehicle.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In terms of vehicle attributes, for example, when the vehicle type is a minivan, it may be used by a family of three or more people, when the vehicle type is a sedan, it may be used by an elderly person, or in the case of a vehicle of a specific manufacturer, it may be used by a high-income person. Therefore, various tendencies of vehicle passengers are shown and can be utilized for various analyses.

[0005] By the way, in a store that provides goods or services, a provision plan such as the type of goods or services to be provided and the provision price of the goods or services to be provided may be determined according to the usage tendency of the store by the users who use the store. In this case, the store needs to grasp the usage tendency of the users. For example, when the store has a parking lot, since users may come to the store by vehicle, it is desirable to utilize the attributes of the vehicles parked in the parking lot by the users. Therefore, there is a demand for the store to provide a mechanism for grasping the usage tendency of the users according to the attributes of the users' vehicles.

[0006] Therefore, the present invention has been made in view of these points, and an object thereof is to provide a mechanism for a store to grasp the usage tendency of a user according to the attributes of the user's vehicle.

Means for Solving the Problems

[0007] An information processing apparatus according to a first aspect of the present invention includes an image acquisition unit that acquires an imaging image obtained by imaging a vehicle using a parking lot installed in a parking lot used by a user of a store that provides a product or service; a specifying unit that analyzes the imaging image acquired by the image acquisition unit and specifies an attribute of the vehicle using the vehicle included in the imaging image and an identification number for identifying the vehicle using the vehicle; and a settlement information acquisition unit that acquires settlement information for settling a usage fee associated with the use of the parking lot, the settlement information including the identification number and provision identification information for specifying the content of the product or service provided by the store to the user; and a recording unit that records, in association with each other in a vehicle attribute storage unit, the attribute of the vehicle using the vehicle specified by the specifying unit together with the identification number included in the settlement information acquired by the settlement information acquisition unit and information indicating the content of the provision specified based on the provision identification information included in the settlement information acquired by the settlement information acquisition unit.

[0008] The specifying unit may specify at least any one of a manufacturer of the vehicle using the vehicle, a type of the vehicle using the vehicle, a name of the vehicle using the vehicle, and the number of passengers on the vehicle using the vehicle as an attribute of the vehicle using the vehicle.

[0009] The specifying unit may further specify an attribute of a passenger of the vehicle using the vehicle, and the recording unit may further record, in association with each other, the attribute of the passenger of the vehicle using the vehicle specified by the specifying unit together with the identification number acquired by the settlement information acquisition unit.

[0010] The recording unit may record at least one of the payment amount paid by the user to the store and information indicating the goods or services provided by the store to the user as information indicating the provided content.

[0011] The recording unit may further record, in association with the parking period from the time when the identification number obtained by the settlement information acquisition unit is specified by the specifying unit to the time when the settlement information acquisition unit obtains the settlement information including the identification number.

[0012] When a predetermined event is being held at the store, the recording unit may further record, in association with the information indicating the predetermined event. The recording unit may further record, in association with the information regarding the user registered as a member of the store.

[0013] The information regarding the user may include the attributes of the user. After the recording unit records, in association with the vehicle attribute storage unit, the attributes of the vehicle in use and the information regarding the user, the image acquisition unit may acquire a post-recording captured image that is the captured image. The specifying unit may analyze the post-recording captured image acquired by the image acquisition unit and specify the attributes of the vehicle in use included in the post-recording captured image. The information processing apparatus may further include a determination unit that determines a provision plan for the store to provide goods or services based on the attributes of the user stored in the vehicle attribute storage unit in association with each of the plurality of attributes of the vehicle in use specified by the specifying unit, and an output unit that outputs the provision plan determined by the determination unit.

[0014] The determination unit may determine the provision plan for the attributes of the vehicle in use specified based on the captured images captured in a predetermined period. The determination unit may determine the provision plan for the attributes of the plurality of vehicles in use parked in the parking lot among the plurality of vehicles in use specified by the specifying unit.

[0015] The determination unit may determine the provision plan based on at least any one of the user's gender, age, income, preferences, number of households, and household composition as the attributes of the user.

[0016] The information processing method according to the second aspect of the present invention includes: a step of acquiring a captured image obtained by a camera installed in a parking lot used by a user of a store that provides a product or service, the camera capturing a vehicle using the parking lot; a step of analyzing the acquired captured image to identify an attribute of the vehicle using the parking lot and an identification number for identifying the vehicle using the parking lot included in the captured image; a step of acquiring settlement information for settling a usage fee associated with the use of the parking lot, the settlement information including the identification number and provision identification information for identifying the content of the provision in which the store provides the product or service to the user; and a step of associating the attribute of the vehicle using the parking lot identified together with the identification number included in the acquired settlement information and information indicating the content of the provision identified based on the provision identification information included in the acquired settlement information, and recording the associated information in a vehicle attribute storage unit.

[0017] The program according to the third aspect of the present invention causes a computer to function as an image acquisition unit that acquires a captured image obtained by a camera installed in a parking lot used by a user of a store that provides a product or service, the camera capturing a vehicle using the parking lot; a specifying unit that analyzes the captured image acquired by the image acquisition unit to identify an attribute of the vehicle using the parking lot and an identification number for identifying the vehicle using the parking lot included in the captured image; a settlement information acquisition unit that acquires settlement information for settling a usage fee associated with the use of the parking lot, the settlement information including the identification number and provision identification information for identifying the content of the provision in which the store provides the product or service to the user; and a recording unit that associates the attribute of the vehicle using the parking lot specified by the specifying unit together with the identification number included in the settlement information acquired by the settlement information acquisition unit and information indicating the content of the provision identified based on the provision identification information included in the settlement information acquired by the settlement information acquisition unit, and records the associated information in a vehicle attribute storage unit.

Advantages of the Invention

[0018] According to the present invention, there is an effect that a mechanism for a store to grasp the usage tendency of a user according to the attributes of the user's vehicle can be provided.

Brief Description of the Drawings

[0019]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Embodiments for Carrying Out the Invention

[0020] [Outline of Information Processing Apparatus 1] FIG. 1 is a diagram for explaining the outline of the information processing apparatus 1. The information processing apparatus 1 is an apparatus used for managing information processing services, and is, for example, a server. The information processing service is a service for recording information for formulating a provision plan or presenting a provision plan to a store B that provides a product or service. The provision plan is a plan for providing a product or service, and is, for example, information indicating the provision price of the product or service, or the content of the product or service to be provided. The provision price of the product or service may be the price itself or information for calculating the price (for example, a discount rate, etc.).

[0021] Store B has a parking lot P for use by users who are customers of the store B. The parking lot P may be a parking lot owned by the store B or a parking lot partnered with the store B. The parking lot P is equipped with one or more imaging devices C and a settlement terminal T. The imaging device C is a camera that captures an imaging range, such as the entrance of the parking lot P or within the parking lot P. The settlement terminal T is a terminal for collecting usage fees associated with parking a vehicle in the parking lot P.

[0022] The parking lot P is managed, for example, by a parking management system. When a vehicle enters the parking lot P, the parking management system analyzes an imaging image captured by the imaging device C of the front of the vehicle, and associates and stores the identification number displayed on the license plate of the vehicle with the imaging time when the imaging image was captured. When the parking lot P is equipped with a plurality of imaging devices C, the parking management system can track the vehicle that has entered the parking lot P based on the imaging images captured by each of the plurality of imaging devices C, and identify the section where the vehicle is parked and the passengers of the vehicle, etc.

[0023] After that, when settlement information is input at the settlement terminal T, the parking management system collects usage fees based on the settlement information. The settlement information is information for settling usage fees associated with the use of the parking lot P, and includes the identification number of the vehicle and provided specific information. The provided specific information is information for specifying the content of the goods or services provided by the store B to the user, and is, for example, a provision ID for identifying the provision of goods or services by the store B, or a settlement ID for identifying the settlement executed at the store. For example, at the store B, a discount coupon for discounting the usage fee of the parking lot P is provided to the user according to the provision of goods or services. The discount coupon is printed with a code image (for example, a two-dimensional code image such as a barcode or a three-dimensional code image such as a QR code (registered trademark)) including the discount content (for example, free for one hour) and the provided specific information.

[0024] In this case, when a vehicle identification number is input into the settlement terminal T and a discount coupon is read, the parking fee for the parking lot P is calculated based on the parking period from the imaging time associated with the input identification number to the time when the identification number was input, and the read discount details, and the calculated parking fee is collected.

[0025] Note that the settlement terminal T may be a terminal owned by a user such as a smartphone. For example, a dedicated application program for settling the usage fee associated with parking a vehicle in the parking lot P is installed in the settlement terminal T. When a user inputs a vehicle identification number into the settlement terminal T and a discount coupon is read via the camera of the settlement terminal T, the parking fee for the parking lot P is calculated based on the parking period from the imaging time associated with the input identification number to the time when the identification number was input, and the read discount details, and the calculated parking fee is collected.

[0026] The information processing device 1 stores in association the attributes of a vehicle and the attributes of the passengers boarding the vehicle. The attributes of the vehicle are, for example, the vehicle manufacturer, vehicle type, vehicle name, number of passengers in the vehicle, etc. The attributes of the passengers are, for example, the gender of the passengers, the age of the passengers, the income of the passengers, the hobbies of the passengers, the number of households of the passengers, the household composition of the passengers, etc. The passengers are, for example, users of the store B. The information processing device 1 manages information processing services using the information obtained from the parking management system and the information stored.

[0027] As management of the information processing service, the information processing device 1 executes a recording process for recording information for formulating a provision plan ( (1) in FIG. 1). Specifically, first, when the information processing device 1 acquires the captured image captured by the imaging device C, it specifies the attributes of the vehicle in use and the identification number of the vehicle in use specified by the captured image. The vehicle in use is a vehicle using the parking lot P.

[0028] When the information processing apparatus 1 acquires the settlement information, which is the information input at the settlement terminal T, it records by associating the attributes of the vehicle in use identified together with the identification number of the vehicle in use included in the acquired settlement information, and the information indicating the content of the offer specified based on the offer-specific information included in the acquired settlement information.

[0029] By doing so, the information processing apparatus 1 can associate the attributes of the user's vehicle with the content of the offer provided by the store B to the user. As a result, the store B can analyze the relationship between the attributes of the vehicle in use in the parking lot P and the usage tendency of the user of the vehicle in use. As a result, the information processing apparatus 1 can provide a mechanism for the store B to grasp the usage tendency of the user according to the attributes of the user's vehicle.

[0030] Subsequently, the information processing apparatus 1 executes output processing for presenting an offer plan ((2) in FIG. 1). Specifically, first, every time the information processing apparatus 1 acquires the captured image captured by the imaging device C, it identifies the attributes of the vehicle in use specified by the captured image. The information processing apparatus 1 determines the offer plan of the store B based on the attributes of the passengers stored in association with each of the identified attributes of the plurality of vehicles in use. Then, the information processing apparatus 1 outputs the determined offer plan.

[0031] By doing so, the information processing apparatus 1 can determine an offer plan for the vehicle that actually uses the parking lot P for the user to visit the store. As a result, the information processing apparatus 1 can improve the accuracy of identifying the attributes of the passengers used to determine the offer plan, that is, the attributes of the users of the store B. As a result, the information processing apparatus 1 can improve the offer profit of the store B. Hereinafter, the configuration of the information processing apparatus 1 will be described.

[0032] [Functional Configuration of Information Processing Apparatus 1] FIG. 2 is a diagram schematically showing the functional configuration of the information processing apparatus 1. The information processing apparatus 1 includes a communication unit 11, a storage unit 12, and a control unit 13. In FIG. 2, the arrows indicate the main data flow, and there may be a data flow not shown in FIG. 2. In FIG. 2, each functional block represents a configuration in terms of function units, not in terms of hardware (devices). Therefore, the functional blocks shown in FIG. 2 may be implemented in a single device, or may be divided and implemented in a plurality of devices. The exchange of data between the functional blocks may be performed via any means such as a data bus, a network, a portable storage medium, etc.

[0033] The communication unit 11 is a communication interface for connecting to a network and has a communication controller for receiving data from an external device.

[0034] The storage unit 12 is a large-capacity storage device such as a ROM (Read Only Memory) that stores the BIOS (Basic Input Output System) of the computer that realizes the information processing apparatus 1, a RAM (Random Access Memory) that serves as a work area of the information processing apparatus 1, an OS (Operating System), an application program, and an HDD (Hard Disk Drive) or SSD (Solid State Drive) that stores various information referred to during the execution of the application program. The storage unit 12 stores an attribute management database that manages the attributes of the vehicle and a plan management database that manages the provision plan.

[0035] FIG. 3 is a diagram showing an example of the configuration of the attribute management database. In the example shown in FIG. 3, the attribute management database stores by associating vehicle attributes (manufacturer, type, etc.), passenger attributes (gender, age, etc.), member information, provided content, and parking period. The member information is information about users registered as members of store B, and includes, for example, member ID, gender of the user, age of the user, address of the user, hobbies of the user, family composition of the user (e.g., number of family members, etc.), income of the user (household income of the user), and the like. The provided content is information indicating the content of goods or services provided by store B to users, and includes, for example, product name (service name), number of products provided, provided price, and the like.

[0036] FIG. 4 is a diagram showing an example of the configuration of the plan management database. In the example shown in FIG. 4, the plan management database stores by associating passenger attributes and a provision plan. The provision plan stored in the plan management database is, for example, information in which a plan for store B to provide goods or services according to the tendency of the attributes of users who visit the store is determined.

[0037] Returning to FIG. 2, the control unit 13 is a processor such as a CPU (Central Processing Unit) or GPU (Graphics Processing Unit) of the information processing apparatus 1, and functions as an image acquisition unit 131, a specifying unit 132, a settlement information acquisition unit 133, a recording unit 134, a determination unit 135, a variation information acquisition unit 136, and an output unit 137 by executing the program stored in the storage unit 12. Hereinafter, the details of the functions of the control unit 13 will be described separately for recording processing and output processing.

[0038] [Recording Processing] First, the recording processing executed by the information processing apparatus 1 will be described. The image acquisition unit 131 acquires a captured image obtained by an imaging device C installed in a parking lot P used by a user of store B that provides goods or services, which captures the vehicle used in the parking lot P.

[0039] The specific unit 132 analyzes the captured image acquired by the image acquisition unit 131 and recognizes the subject included in the captured image. The specific unit 132 can recognize the subject included in the captured image by using, for example, known techniques.

[0040] Specifically, the specific unit 132 analyzes the captured image acquired by the image acquisition unit 131 and specifies the attributes of the vehicle in use included in the captured image. The specific unit 132 specifies, for example, at least any one of the manufacturer of the vehicle in use, the type of the vehicle in use, the name of the vehicle in use, and the number of passengers who boarded the vehicle in use (for example, the number of passengers who got off the vehicle in use).

[0041] In addition, the specific unit 132 analyzes the captured image acquired by the image acquisition unit 131 and specifies an identification number for identifying the vehicle in use included in the captured image. Note that the specific unit 132 may acquire the identification number of the vehicle in use specified based on the captured image from the parking management system.

[0042] The settlement information acquisition unit 133 acquires settlement information for settling the usage fee associated with the use of the parking lot P, the settlement information including the identification number of the vehicle in use and the provision identification information for specifying the content of the provision provided by the store B to the user. The settlement information acquisition unit 133 acquires, for example, the information input by the user for the procedure of settling the usage fee associated with the use of the parking lot P at the settlement terminal T as the settlement information.

[0043] Specifically, first, when the user inputs the identification number of the vehicle in use at the settlement terminal T and performs an operation to read the discount coupon received from the store B, the settlement terminal T transmits the settlement information including the identification number of the vehicle in use and the provision identification information acquired by reading the discount coupon to the information processing apparatus 1. Then, the settlement information acquisition unit 133 acquires the settlement information from the settlement terminal T.

[0044] The recording unit 134 records in the attribute management database by associating the attribute of the vehicle in use identified by the specifying unit 132 with the identification number of the vehicle in use included in the settlement information acquired by the settlement information acquisition unit 133, and information indicating the content of the offer specified based on the offer specifying information included in the settlement information acquired by the settlement information acquisition unit 133. For example, as the information indicating the content of the offer, the recording unit 134 records at least one of the payment amount paid by the user to store B and the information indicating the product or service provided by store B to the user.

[0045] For example, store B manages a store server (not shown) that manages the provision of products or services, such as a POS (Point of sales) system. The store server manages by associating the offer specifying information with the content of the offer for each provision of a product or service. In this case, first, the recording unit 134 acquires, from the store server, information indicating the content of the offer managed in association with the offer specifying information included in the settlement information acquired by the settlement information acquisition unit 133. Then, the recording unit 134 associates the attribute of the vehicle in use identified by the specifying unit 132 with the identification number of the vehicle in use included in the settlement information acquired by the settlement information acquisition unit 133, and the information indicating the content of the offer acquired from the store server, and stores them in the attribute management database.

[0046] In addition to the attribute of the vehicle in use and the information indicating the content of the offer, the information processing apparatus 1 may record various pieces of information. For example, the information processing apparatus 1 further records the attribute of the passenger of the vehicle in use.

[0047] Specifically, first, the specifying unit 132 analyzes the captured image acquired by the image acquisition unit 131 to further specify the attribute of the passenger of the vehicle in use. Then, the recording unit 134 further associates the attribute of the passenger of the vehicle in use identified by the specifying unit 132 with the identification number acquired by the settlement information acquisition unit 133 and records them in the attribute management database. By doing so, analysts such as those at store B can analyze the attributes of the user based on the attributes of the vehicle by referring to the attribute management database.

[0048] The information processing apparatus 1 may further record the parking period of the vehicle in use. Specifically, the recording unit 134 further associates and records in the attribute management database the parking period from the time when the specifying unit 132 specifies the identification number of the vehicle in use obtained by the settlement information acquisition unit 133 to the time when the settlement information acquisition unit 133 obtains the settlement information including the identification number of the vehicle in use. By doing so, the analyst can analyze the parking period of the vehicle as the usage period of store B with reference to the attribute management database based on the attributes of the vehicle.

[0049] The information processing apparatus 1 may further record the membership information of the passengers of the vehicle in use. Specifically, the recording unit 134 further associates and records in the attribute management database the membership information of the users registered as members of store B.

[0050] For example, for each provision of a product or service, the store server further manages by associating the membership ID corresponding to the user to whom store B provides the product or service. Also, the store server manages the membership information of the users. In this case, the recording unit 134 obtains from the store server the membership information including the membership ID managed in association with the provision specifying information included in the settlement information obtained by the settlement information acquisition unit 133, and further associates and records the obtained membership information in the attribute management database. Note that the recording unit 134 may record in the attribute management database as an attribute of the passengers of the vehicle in use the membership information of the users registered as members of store B. By doing so, the analyst can analyze the membership information based on the attributes of the vehicle with reference to the attribute management database.

[0051] The information processing apparatus 1 may further record information indicating an event held at store B. For example, the store server manages the schedule of the events held at store B.

[0052] In this case, the recording unit 134 refers to the schedule managed by the store server, and when a predetermined event is being held at store B, it further associates information indicating the predetermined event and records it in the attribute management database. By doing so, analysts can refer to the attribute management database and analyze the usage status of store B, etc. based on the presence or absence of events, etc. according to the attributes of the vehicles.

[0053] [Output processing] Next, the output processing executed by the information processing apparatus 1 will be described. For example, after the information processing apparatus 1 executes recording processing and a certain amount of information (for example, information for one week, one month, or one year, etc.) is recorded in the attribute management database, it refers to the attribute management database and executes output processing. Note that the information processing apparatus 1 may also execute output processing by referring to another database (for example, a database in which the attributes of vehicles and the attributes of passengers boarding the vehicles are stored in association with each other) that stores information created by an external research company.

[0054] The image acquisition unit 131 acquires a captured image in which an imaging device C installed in the parking lot P used by users of store B that provides a product or service captures a vehicle using the parking lot P. The specifying unit 132 analyzes the captured image acquired by the image acquisition unit 131 and specifies the attributes of the vehicle using the parking lot included in the captured image.

[0055] The determination unit 135 determines a provision plan for store B to provide a product or service based on the attributes of the passengers stored in the attribute management database in association with each of the attributes of the plurality of vehicles using the parking lot specified by the specifying unit 132. Specifically, the determination unit 135 determines the provision plan for store B by executing the following three steps.

[0056] As a first step, the determination unit 135 determines the attributes of the target vehicle, which are the attributes of the vehicle using the parking lot to be used as information for determining the provision plan for store B. Specifically, the determination unit 135 determines the attributes of the vehicle using the parking lot specified based on a specific captured image as the attributes of the target vehicle.

[0057] The determination unit 135 determines, for example, the attributes of the vehicle in use identified based on the captured images captured during a predetermined period as the attributes of the target vehicle. The predetermined period is, for example, morning and afternoon, time zones every hour, one day, one month, etc., a period defined in the information processing service, or a period set by store B.

[0058] The determination unit 135 may determine the attributes of the vehicle in use identified based on the captured image captured at a certain point in time (for example, the captured image captured with the inside of the parking lot P as the imaging range) as the attributes of the target vehicle. In this case, the determination unit 135 may determine the attributes of the vehicles in use parked in the parking lot P among the plurality of vehicles in use identified by the identification unit 132 as the attributes of the target vehicle. The vehicle in use during parking is, for example, a vehicle in use existing in a parking section provided for the vehicle to park in the parking lot P. By doing so, the information processing apparatus 1 can target the vehicle in use during parking, that is, the attributes of the user visiting store B.

[0059] As a second step, the determination unit 135 determines the attributes of the target person, which are the attributes of the passengers to be used as information for determining the provision plan of store B, based on the attributes of the plurality of determined target vehicles. Specifically, the determination unit 135 determines the attributes of the target person by selecting the attributes of one passenger from among the attributes of the plurality of passengers stored in the attribute management database in association with each of the attributes of the plurality of determined target vehicles. The attributes of one passenger may be one type of attribute (for example, any one of gender and age, etc.), or a combination of a plurality of types of attributes (for example, a combination of gender and age, etc.).

[0060] The determination unit 135 determines, as the attribute of the target person, the attribute of the passenger with a relatively large number of common attributes among the attributes of a plurality of passengers stored in the attribute management database in association with each of the attributes of the determined plurality of target vehicles. For example, when the attributes of the passengers stored in the attribute management database in association with each of the attributes of the determined plurality of target vehicles are the attributes of male and 50-year-old passengers and the attributes of female and 30-year-old passengers, and the former has a larger number of common attributes, the determination unit 135 determines the attributes of the former passengers as the attributes of the target person.

[0061] Note that the determination unit 135 may determine the attribute of the target person based on the attribute of the passenger of the vehicle in use identified by the captured image acquired by the image acquisition unit 131. For example, first, the identification unit 132 analyzes the captured image acquired by the image acquisition unit 131 and identifies the attributes of the passengers of the vehicle in use included in the captured image (for example, gender, age, the number of passengers of the vehicle in use, etc.). Then, the determination unit 135 determines the attribute of the target person by selecting the attribute of one passenger from among the attributes of the plurality of passengers identified by the identification unit 132.

[0062] As the third step, the determination unit 135 determines the offering plan of store B based on the selected attribute, which is the attribute of the selected passenger. The determination unit 135 determines the offering plan of store B, for example, by selecting the offering plan stored in the plan management database in association with the selected attribute from among the plurality of offering plans stored in the plan management database.

[0063] The determination unit 135 determines the provision plan of store B based on, for example, at least any one of the gender of the passenger, the age of the passenger, the income of the passenger, the preferences of the passenger, the number of family members of the passenger, and the family composition of the passenger as selection attributes. For example, among the plurality of provision plans stored in the plan management database, the determination unit 135 selects the provision plan stored in the plan management database in association with the attributes of the passenger for which the number of matches with each type of selection attribute (gender of the passenger, age of the passenger, income of the passenger, preferences of the passenger, number of family members of the passenger, and family composition of the passenger) is relatively large (for example, the attributes of the passenger for which the number of matches with each type of selection attribute is the largest). By doing so, the information processing apparatus 1 can determine the provision plan of store B according to various types of attributes of the passenger.

[0064] The determination unit 135 determines, for example, the provision price of the goods or services provided by store B as the provision plan of store B. The provision price of the goods or services may be the provision prices of all the goods or services provided by store B, or may be the provision price of a specific good or service. For example, the provision prices are stored in the plan management database for each attribute of the passenger, and the determination unit 135 determines the provision price by selecting the provision price stored in the plan management database in association with the selected attributes of the passenger from among the plurality of provision prices stored in the plan management database.

[0065] For example, in the plan management database, as the offered price, a discount coefficient for discounting the offered price is stored. There is a first discount coefficient applied when the passenger's income is low, and a second discount coefficient applied when the passenger's income is high. The second discount coefficient has a lower discount rate for the offered price than the first discount coefficient, and these are stored. In this case, when the determination unit 135 indicates that the income is low in the selected attribute (for example, when the passenger's income is less than a predetermined threshold), the offered price obtained by applying the first discount coefficient stored in the plan management database is determined as the offering plan of store B. Further, when the determination unit 135 indicates that the income is high in the selected attribute (for example, when the passenger's income is greater than or equal to a predetermined threshold), the offered price obtained by applying the second discount coefficient stored in the plan management database is determined as the offering plan of store B. By doing so, the information processing apparatus 1 can determine the offered price based on the attributes of the vehicle to be used.

[0066] The determination unit 135 may determine the type of product or service provided by store B as the offering plan. For example, in the plan management database, for each passenger attribute, type information indicating the type of product or service is stored. The determination unit 135 selects the type information stored in the plan management database in association with the selected passenger attribute from among the plurality of pieces of type information stored in the plan management database, thereby determining the type of product or service provided by store B.

[0067] The determination unit 135 may determine the product position, which is the position where the products provided by store B are arranged, as the offering plan. For example, in the plan management database, for each passenger attribute, product position information including information indicating a product and the product position corresponding to the product is stored. The determination unit 135 selects the product position information stored in the plan management database in association with the selected passenger attribute from among the plurality of pieces of product position information stored in the plan management database, thereby determining the product position of a specific product.

[0068] For example, in the plan management database, as product location information, there is first product location information indicating that when the passenger's gender is male, male products are arranged at locations that are easily noticeable to users who visit store B (for example, near the entrance / exit, near the checkout area, etc.), and second product location information indicating that when the passenger's gender is female, female products are arranged at locations that are easily noticeable to users who visit store B.

[0069] In this case, when the determination unit 135 indicates that the gender is male in the selected attribute, it determines the first product location information stored in the plan management database as the offering plan for store B. Also, when the determination unit 135 indicates that the gender is female in the selected attribute, it determines the second product location information stored in the plan management database as the offering plan for store B. By doing so, the information processing apparatus 1 can determine the location where products are arranged based on the attributes of the vehicle in use.

[0070] The determination unit 135 may determine the offering content of the products offered by store B as the offering plan. The offering content of the products is, for example, the content of the products made by store B such as prepared dishes. For example, in the plan management database, product offering information indicating the offering content of the products is stored for each passenger attribute, and the determination unit 135 selects the product offering information stored in the plan management database in association with the selected passenger attribute from among the plurality of product offering information stored in the plan management database, thereby determining the offering content of the products.

[0071] For example, in the plan management database, as product offering information, there is first product offering information indicating the content of products for single-person households (for example, the volume of the product is for one person) when the number of household members of the passenger is 1, and second product offering information indicating the content of products for families (for example, the volume of the product is for 3 to 4 people) when the number of household members of the passenger is multiple.

[0072] In this case, when the determination unit 135 indicates that the number of household members is one in the selected attribute, the determination unit 135 determines the first product offering information stored in the plan management database as the offering plan for store B. Further, when the determination unit 135 indicates that the number of household members is more than one in the selected attribute, the determination unit 135 determines the second product offering information stored in the plan management database as the offering plan for store B. By doing so, the information processing apparatus 1 can determine the offering content of the product based on the attributes of the vehicle in use.

[0073] The determination unit 135 may determine the offering content of the benefits to be provided to the user as the offering plan. For example, in the plan management database, benefit offering information indicating the offering content of the benefits is stored for each attribute of the passengers, and the determination unit 135 selects the benefit offering information stored in the plan management database in association with the selected passenger attribute from among the plurality of benefit offering information stored in the plan management database, thereby determining the offering content of the benefits. By doing so, the information processing apparatus 1 can determine the offering content of the benefits based on the attributes of the vehicle in use.

[0074] The determination unit 135 may determine the offering plan presented to another store B in the past as the offering plan for store B. Another store B is a store different from store B, for example, a chain store of store B. For example, the storage unit 12 stores in association another store B, the attributes of the users of another store B, and the other store offering plan which is the offering plan output to another store B. The other store offering plan stored in the storage unit 12 is, for example, an offering plan presented to another store B in the past and the sales of which have improved by offering products or services based on the offering plan.

[0075] In this case, when there is a user attribute in the storage unit 12 that corresponds to the passenger attribute (selected attribute) stored in the attribute management database in association with each of the attributes of the plurality of user vehicles identified by the identification unit 132, the determination unit 135 determines the offering plan of another store B associated with the user attribute as the offering plan corresponding to store B. By doing so, the information processing apparatus 1 can present to store B an offering plan with improved sales in another store B.

[0076] After determining the offering plan for store B, the determination unit 135 may change the determined offering plan for store B based on changes in the attributes of people existing around store B. Specifically, first, the change information acquisition unit 136 acquires attribute change information corresponding to a predetermined area including store B. The predetermined area is, for example, the area where store B is located, a predetermined range from store B (for example, a range within 100 meters, etc.). The attribute change information is information for identifying changes in the attributes of people existing in a predetermined area including the store, and is, for example, a captured image captured by a camera (not shown) with a sidewalk as the imaging range, information indicating the position of a user using a communication service, etc.

[0077] Then, when there is a change between the attribute of the people existing in the predetermined area immediately before determining the offering plan for store B and the attribute of the people existing in the predetermined area until a predetermined period (for example, one week, one month, etc.) has elapsed since the time when the offering plan for store B was determined, the determination unit 135 changes the offering plan for store B based on the changed attribute of the people existing in the predetermined area. For example, after determining the offering plan for store B based on a selected attribute indicating that the gender is male, if the majority of the genders of the people in the predetermined area including store B changes from male to female, the determination unit 135 determines the offering plan for store B based on a selected attribute indicating that the gender is female. By doing so, when a situation occurs where the attributes of people can change, such as an apartment being built around store B, the information processing apparatus 1 can determine the offering plan for store B in consideration of such a situation.

[0078] The output unit 137 outputs the provision plan for store B determined by the determination unit 135. For example, the output unit 137 causes the provision plan determined by the determination unit 135 to be transmitted to the store server, thereby causing the provision plan to be displayed on the display unit of the store server. When the determination unit 135 changes the provision plan for store B, the output unit 137 outputs the changed provision plan for store B, that is, the latest provision plan for store B.

[0079] For example, when the determination unit 135 determines the provision price, the output unit 137 may cause the provision price determined by the determination unit 135 to be output to the output device provided in store B. The output device is, for example, a display device that displays the price of each product on the product shelf, a display device (for example, digital signage) installed at the entrance of store B, in the product sales area of store B, etc., or a broadcast device that broadcasts sound in the store. By doing so, the information processing device 1 can immediately execute the determined provision plan.

[0080] The output unit 137 may cause an advertisement for the product or service to be output to the output device. Specifically, first, the determination unit 135 determines the product or service to be the target of the advertisement as the provision plan for store B. For example, the determination unit 135 determines a specific product or service for which the provision price has been determined as the product or service to be the target of the advertisement. Then, the output unit 137 causes an advertisement for the product or service determined by the determination unit 135 to be the target of the advertisement to be output to the output device. By doing so, the information processing device 1 can immediately execute the determined provision plan.

[0081] In the above, an example where the parking lot P is a facility used by the users of one store B has been described, but it is not limited to this. For example, the parking lot P may be a facility used by the users of a commercial facility including a plurality of stores B. In this case, the information processing device 1 may notify the store B corresponding to the attributes of the specified user of the visitor situation. For example, in the storage unit 12, for each store B included in the commercial facility, information indicating the store B and the attributes of the users of the store B are stored in association with each other.

[0082] In this case, the output unit 137 notifies the store B associated with the user attribute corresponding to the passenger attribute (selected attribute) stored in the attribute management database in association with each of the attributes of the plurality of used vehicles specified by the specifying unit 132 in the storage unit 12, of the customer situation of the commercial facility specified by the specifying unit 132 by analyzing the captured image. For example, when the number of family members of the selected attribute, which is the selected passenger attribute, is plural, the output unit 137 notifies the store B associated with the selected attribute, of a message indicating that relatively many families are visiting the commercial facility. By doing so, the information processing apparatus 1 can, for example, make it easier for the store B expecting many customers to prepare a customer service system.

[0083] [Flow of processing of information processing apparatus 1] Subsequently, the flow of processing of the information processing apparatus 1 will be described. FIG. 5 is a flowchart showing the flow of processing of the information processing apparatus 1. FIG. 5(a) is a flowchart showing the flow of recording processing. The flowchart shown in FIG. 5(a) starts when the image acquisition unit 131 acquires a captured image from the imaging device C (S11).

[0084] The specifying unit 132 analyzes the captured image acquired by the image acquisition unit 131, and specifies the attribute of the used vehicle and the identification number of the used vehicle included in the captured image (S12). The settlement information acquisition unit 133 acquires settlement information from the settlement terminal T (S13).

[0085] The recording unit 134 acquires, from the store server, provision information indicating the provision content managed in association with the provision specifying information included in the settlement information acquired by the settlement information acquisition unit 133, and member information including the member ID managed in association with the provision specifying information (S14). Then, the recording unit 134 associates the attribute of the used vehicle specified by the specifying unit 132 together with the identification number of the used vehicle included in the settlement information acquired by the settlement information acquisition unit 133, information indicating the provision content specified based on the provision specifying information included in the settlement information acquired by the settlement information acquisition unit 133, and the acquired member information, and records them in the attribute management database (S15).

[0086] Figure 5(b) is a flowchart showing the flow of output processing. The flowchart shown in Figure 5(b) starts when the image acquisition unit 131 acquires a captured image from the imaging device C after executing the recording process and recording a certain amount of information in the attribute management database (S21).

[0087] The specifying unit 132 analyzes the captured image acquired by the image acquisition unit 131 and specifies the attributes of the vehicle in use included in the captured image (S22). The determination unit 135 determines the provision plan of the store B based on the attributes of the passengers stored in the attribute management database in association with each of the attributes of the multiple vehicles in use specified by the specifying unit 132 (S23). Then, the output unit 137 outputs the provision plan of the store B determined by the determination unit 135 (S24).

[0088] [Effects of the present embodiment] As described above, the information processing apparatus 1 associates and records in the attribute management database the attribute of the vehicle in use, which is the identification number of the vehicle in use included in the acquired settlement information and is specified together with the identification number of the vehicle in use by analyzing the captured image, and the information indicating the provision content specified based on the provision specifying information included in the acquired settlement information. By doing so, the information processing apparatus 1 can associate the attribute of the user's vehicle with the provision content provided by the store B to the user. As a result, the store B can analyze the relationship between the attribute of the vehicle in use in the parking lot P and the usage tendency of the user of the vehicle in use. As a result, the information processing apparatus 1 can provide a mechanism for the store to grasp the usage tendency of the user according to the attribute of the user's vehicle.

[0089] In addition, the information processing apparatus 1 determines the provision plan for Store B based on the attributes of the passengers stored in the attribute management database in association with each of the attributes of a plurality of used vehicles identified by analyzing the captured image, and outputs the determined provision plan for Store B. By doing so, the information processing apparatus 1 can determine the provision plan for the vehicles that actually used the parking lot P for the user to visit the store. As a result, the information processing apparatus 1 can improve the accuracy of identifying the attributes of the passengers used to determine the provision plan, that is, the attributes of the users of Store B. As a result, the information processing apparatus 1 can improve the provision profit of Store B.

[0090] In addition, according to the present invention, it becomes possible to contribute to Goal 9, "Build the infrastructure for industry and technological innovation," of the Sustainable Development Goals (SDGs) led by the United Nations.

[0091] As described above, the present invention has been described using the embodiments. However, the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes are possible within the scope of the gist. For example, all or part of the device can be configured by being functionally or physically distributed and integrated in an arbitrary unit. In addition, new embodiments generated by an arbitrary combination of a plurality of embodiments are also included in the embodiments of the present invention. The effects of the new embodiments generated by the combination have the effects of the original embodiments combined.

Explanation of Reference Numerals

[0092] 1 Information processing apparatus 11 Communication unit 12 Storage unit 13 Control unit 131 Image acquisition unit 132 Identification unit 133 Settlement information acquisition unit 134 Recording unit 135 Determination unit 136 Fluctuation information acquisition unit 137 Output unit B Store C Imaging device P Parking lot T actuarial terminal

Claims

1. an image acquisition unit that acquires images of vehicles using a parking lot that is used by users of a store that provides products or services, using a camera installed in the parking lot; an identification unit that analyzes the captured image acquired by the image acquisition unit and identifies an attribute of the vehicle to be used and an identification number for identifying the vehicle to be used that are included in the captured image; a payment information acquisition unit that acquires payment information for settling a usage fee associated with the use of the parking lot, the payment information including the identification number and provision specification information for specifying the provision content of the product or service provided by the store to the user; a recording unit which selects an attribute of the vehicle to be used identified by the identification unit together with the identification number included in the settlement information acquired by the settlement information acquisition unit from among the attributes of the one or more vehicles to be used identified by the identification unit, and records the selected attribute of the vehicle to be used and information indicating the provision content identified based on the provision identification information included in the settlement information acquired by the settlement information acquisition unit in a vehicle attribute storage unit in association with each other; An information processing device having the above configuration.

2. The identification unit identifies at least one of a manufacturer of the vehicle, a type of the vehicle, a name of the vehicle, and a number of passengers in the vehicle, as an attribute of the vehicle. The information processing device according to claim 1 .

3. The identification unit further identifies attributes of a passenger of the vehicle to be used, The recording unit further associates and records attributes of the passenger of the vehicle identified by the identification unit together with the identification number acquired by the settlement information acquisition unit. The information processing device according to claim 1 .

4. The recording unit records, as the information indicating the content of the provision, at least one of an amount paid by the user to the store and information indicating a product or service provided by the store to the user. The information processing device according to claim 1 .

5. The recording unit further associates and records a parking period from a time when the identification unit identifies the identification number acquired by the payment information acquisition unit to a time when the payment information acquisition unit acquires the payment information including the identification number. The information processing device according to claim 1 .

6. When a predetermined event is being held in the store, the recording unit further associates and records information indicating the predetermined event. The information processing device according to claim 1 .

7. The recording unit further associates and records information about the user who is registered as a member of the store. The information processing device according to claim 1 .

8. The information about the user includes attributes of the user, the image acquisition unit acquires a recorded captured image, which is the captured image, after the recording unit has associated the attribute of the used vehicle with information about the user and recorded the attribute of the used vehicle and the information about the user in the vehicle attribute storage unit; The identification unit analyzes the post-recording captured image acquired by the image acquisition unit and identifies attributes of the vehicle included in the post-recording captured image, The information processing device includes: a determination unit that determines a provision plan for the store to provide a product or service based on the attributes of the user that are stored in the vehicle attribute storage unit in association with each of the attributes of the multiple vehicles identified by the identification unit; an output unit that outputs the provision plan determined by the determination unit; Further comprising The information processing device according to claim 7.

9. The determination unit determines the provision plan based on attributes of the vehicle to be used that are identified based on the captured images captured during a predetermined period. The information processing device according to claim 8.

10. the determination unit determines the provision plan based on attributes of a plurality of the vehicles to be used that are currently parked in the parking lot among the plurality of the vehicles to be used identified by the identification unit. The information processing device according to claim 8.

11. the determination unit determines the provision plan based on at least one of the attributes of the user, the gender of the user, the age of the user, the income of the user, the preferences of the user, the number of households of the user, and the household composition of the user; The information processing device according to claim 8.

12. The computer executes A step of acquiring an image of a vehicle using a parking lot used by a user of a store that provides a product or service by a camera installed in the parking lot; analyzing the acquired captured image and identifying attributes of the vehicle and an identification number for identifying the vehicle, which are included in the captured image; acquiring settlement information for settling a usage fee for using the parking lot, the settlement information including the identification number and provision specification information for specifying the provision content of the goods or services provided by the store to the user; selecting an attribute of the vehicle to be used that is identified together with the identification number included in the acquired settlement information from among the identified attributes of the one or more vehicles to be used; a step of recording in a vehicle attribute storage unit, in association with an attribute of the selected vehicle to be used and information indicating the provision content specified based on the provision specification information included in the acquired settlement information; An information processing method comprising the steps of:

13. Computer, an image acquisition unit that acquires captured images of vehicles using a parking lot used by users of a store that provides products or services, using a camera installed in the parking lot; an identification unit that analyzes the captured image acquired by the image acquisition unit and identifies an attribute of the vehicle to be used and an identification number for identifying the vehicle to be used, which are included in the captured image; a payment information acquisition unit that acquires payment information for settling a usage fee for use of the parking lot, the payment information including the identification number and provision specification information for specifying the provision content of the product or service provided by the store to the user; and a recording unit which selects an attribute of the vehicle to be used identified by the identification unit together with the identification number included in the settlement information acquired by the settlement information acquisition unit from among the attributes of the one or more vehicles to be used identified by the identification unit, and records the selected attribute of the vehicle to be used and information indicating the provision content identified based on the provision identification information included in the settlement information acquired by the settlement information acquisition unit in a vehicle attribute storage unit in association with each other; A program to function as a

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