JP2020087017A - Information processor, information processing method and information processing program - Google Patents

Abstract

To provide an information processor, an information processing method and an information processing program for reducing troublesomeness for retrieving a commodity by investigating an article number and a product name, etc. of an own product by himself/herself when a user replaces electrical appliances, etc.SOLUTION: The information processor comprises: an acquisition unit; a specification unit; and a provision unit. The acquisition unit acquires image information which is an image of a target commodity. The specification unit specifies a generation of the target commodity on the basis of the image information acquired by the acquisition unit. The provision unit provides commodity information regarding a commodity in other generation which is a target commodity in a generation different from the generation of the target commodity specified by the specification unit.SELECTED DRAWING: Figure 3

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

2. Description of the Related Art Conventionally, a technique for performing web search using a user terminal such as a smartphone or a tablet PC (Personal Computer) is known. For example, the user browses the search result of the target product corresponding to the input search keyword by inputting the product number or the product name of the target product to be searched in the search window provided on the shopping site as the search keyword. be able to.

JP, 2013-222412, A

By the way, for example, when a user replaces an electric appliance or the like, it is necessary to check the product number, product name, etc. of the owned product by himself to search for the product, which may cause the user to feel annoyed.

The present application has been made in view of the above, and an object thereof is to provide an information processing device, an information processing method, and an information processing program that can reduce the user's annoyance.

The information processing device according to the present application includes an acquisition unit, a specifying unit, and a providing unit. The acquisition unit acquires image information that is an image of a target product. The specifying unit specifies the generation of the target product based on the image information acquired by the acquisition unit. The providing unit provides product information regarding another-generation product that is a target product of a generation different from the generation of the target product specified by the specifying unit.

According to one aspect of the embodiment, it is possible to reduce the inconvenience to the user.

FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the information processing system according to the embodiment. FIG. 3 is a diagram illustrating a configuration example of the information processing device according to the embodiment. FIG. 4 is a diagram showing an example of detailed information. FIG. 5 is a diagram showing an example of the image database. FIG. 6 is a flowchart illustrating a procedure of overall processing executed by the information processing apparatus according to the embodiment. FIG. 7 is a flowchart showing the procedure of the generation process executed by the generation unit according to the embodiment. FIG. 8 is a hardware configuration diagram illustrating an example of a computer that realizes the functions of the information processing device according to the embodiment.

Hereinafter, modes (hereinafter, referred to as “embodiments”) for implementing an information processing device, an information processing method, and an information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing device, the information processing method, and the information processing program according to the present application are not limited by this embodiment. Also, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicate description will be omitted.

First, an example of information processing performed by the information processing apparatus according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. The information processing apparatus according to the embodiment performs the information processing illustrated in FIG. 1 by executing the information processing method according to the embodiment. Specifically, in FIG. 1, the generation of the target product 50 is specified based on the image of the television 50 (hereinafter referred to as the target product 50) captured by the user using the user terminal 100, and the specified generation is Information processing for providing product information regarding target products of different generations (hereinafter referred to as different generation products) will be described.

The target product 50 is, for example, a household electric product (so-called home electric appliance) owned by the user, or a mechanical industrial product such as a vehicle. Note that the target product 50 is not limited to a mechanical industrial product as long as it is a product that is technically renewed regularly.

Further, the generation is a concept indicating a replacement of a technology or a design concept used for the target product 50 due to technological innovation or the like. The generation can be expressed as, for example, the nth generation (n is an integer), and “n” is incremented by 1 each time the generation is replaced. Note that the generation method is not limited to the nth generation, and may be, for example, a product number or model number as long as the order of replacement can be recognized, and further, letters, words, pictograms, etc. Can be expressed by any expression method.

In addition, when a generation is partially modified without changing the generation like a minor change of a vehicle, for example, a minor change is expressed by a decimal point as in “1.2th generation”, and a total improvement (so-called , Full model change) may be expressed by an integer.

Hereinafter, the information processing performed by the information processing device 1 according to the embodiment will be specifically described with reference to FIG.

First, the information processing device 1 acquires image information that is an image of the target product 50 from the user terminal 100 (step S1). The image information includes, for example, a captured image of the target product 50 captured using the image capturing function of the user terminal 100. The image information may be an image downloaded by a user from a predetermined server device.

Subsequently, the information processing device 1 performs a generation specifying process for specifying the generation of the target product 50 based on the acquired image information (step S2). Specifically, the information processing device 1 is based on a comparison result (for example, pattern matching, machine learning, etc.) between the image database 412 in which a plurality of images of the target product 50 are classified by generation and the image information. The generation of the target product 50 in the image information is specified.

Subsequently, the information processing device 1 performs a providing process of providing product information regarding another generation product that is the target product 50 of a generation different from the generation specified by the generation specifying process (step S3). For example, when the information processing device 1 is a shopping server, a product list of other-generation products is provided as product information. When the information processing device 1 is a search server, the search result of another generation product is provided as product information.

The different-generation product may be a target product 50 of a newer generation (or an older generation) than the specified generation, or a target product 50 of a different generation and similar in price, product specification, or the like. However, a detailed selection method of another generation product will be described later.

That is, the user does not need to check the product number, product name, etc. of the target product 50 by himself/herself, but only by transmitting the image of the target product 50 to the information processing device 1, the information processing device 1 relates to another generation product of the target product 50. You can receive product information.

As described above, in the information processing method according to the embodiment, by identifying the generation of the target product 50 based on the image information and providing the product information, for example, when the user replaces an electric appliance or the like, the owned product It is no longer necessary to search for the product number and product name by yourself. Therefore, the information processing method according to the embodiment can reduce the user's annoyance.

Next, the configuration of the information processing system S according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the information processing system S according to the embodiment. As shown in FIG. 2, the information processing system S according to the embodiment includes an information processing device 1, a content providing server 10, and a user terminal 100. The information processing device 1, the content providing server 10 and the user terminal 100 are connected via a predetermined network N. The network N is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (a mobile telephone network, a fixed telephone network, etc.), a regional IP (Internet Protocol) network, and the Internet. The network N may include a wired network or a wireless network.

The information processing device 1 is a server device that provides contents such as product information related to different-generation products. The information processing device 1 is, for example, a server device that distributes information via various applications installed in the user terminal 100. The information processing apparatus 1 may be, for example, an auction server that provides an auction service, a shopping server that provides a shopping service, a flea market server that provides a flea market service, or the like. The information processing device 1 may function as a separate server device independent of the auction server, shopping server, and flea server.

The information processing device 1 acquires image information from the user terminal 100, performs the generation specifying process and the providing process described above, and provides the product information to the user terminal 100. The information processing apparatus 1 also performs a generation process of extracting an image of the target product 50 from the images of the content providing server 10 and generating the image database 412. The details of the generation process will be described later.

The content providing server 10 is a server device that provides predetermined content to the user terminal 100. The content providing server 10 is, for example, a server device that distributes information via various applications installed in the user terminal 100. The content providing server 10 may be, for example, an auction server providing an auction service, a shopping server providing a shopping service, a flea market server providing a flea market service, or the like. Note that the content providing server 10 is not limited to being configured separately from the information processing device 1, and may be configured integrally with the information processing device 1. In addition, in the information processing system S, the number of the content providing servers 10 is not limited to one and may be plural.

The content providing server 10 provides the user terminal 100 with an auction service, a shopping service, and a flea service. The content providing server 10 also provides the information processing apparatus 1 with an image of the target product 50 uploaded by the user who uses the various services described above via the user terminal 100. The content providing server 10 provides the information processing device 1 with an image to be submitted when the target product 50 is put up, for example.

The user terminal 100 is a terminal device used by the user as described above. The user terminal 100 is, for example, a smart device (smartphone or tablet), a smart watch, a head mounted display, a mobile phone, a personal computer, or the like. The user terminal 100 transmits/receives information to/from the information processing device 1 and the content providing server 10 according to a user's operation.

Next, the configuration of the information processing device 1 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating a configuration example of the information processing device 1 according to the embodiment.

As shown in FIG. 3, the information processing device 1 includes a communication unit 2, a control unit 3, and a storage unit 4. The control unit 3 includes an acquisition unit 31, a generation unit 32, a specification unit 33, and a provision unit 34.

The communication unit 2 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 2 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the user terminal 100 and the content providing server 10 via the network N.

The storage unit 4 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. As shown in FIG. 3, the storage unit 4 stores the target information 41 including the detailed information 411 and the image database 412.

The target information 41 is information about the target product 50. The target information 41 is generated by the generation unit 32 described below. Here, the detailed information 411 and the image database 412 included in the target information 41 will be described with reference to FIGS. 4 and 5.

FIG. 4 is a diagram showing an example of the detailed information 411. FIG. 5 is a diagram showing an example of the image database 412.

First, the detailed information 411 shown in FIG. 4 will be described. The detailed information 411 is information regarding the product characteristics of the target product 50. Specifically, as shown in FIG. 4, the detailed information 411 is information including items such as “product ID”, “type”, “maker”, “generation”, “product specification”, and “sales index”. is there.

The “product ID” is identification information that identifies the target product 50. “Type” is information indicating the type of the target product 50. The “maker” is a manufacturer that manufactured the target product 50. “Generation” is information indicating the generation of the target product 50. The “product specification” is information indicating specifications and functions (so-called specifications) of the target product 50. The “sales index” is an index related to sales of the target product 50, and includes “sales amount” and “unit sales”.

The detailed information 411 may be acquired from the manufacturer of the target product 50, or may be acquired from the content providing server 10, for example.

Note that the detailed information 411 illustrated in FIG. 4 is an example, and includes, for example, information about the average selling price of each target product 50, information about word-of-mouth of the target product 50 posted in a shopping service, and the like. Good.

Next, the image database 412 will be described with reference to FIG. The image database 412 is information including a plurality of images of the target product 50, and is a database classified for each image generation of the target product 50. Specifically, as shown in FIG. 5, the image database 412 is information including items such as “product ID”, “generation”, and “image”.

The “image” is information including the image P of the target product 50. As shown in FIG. 5, the “image” includes a plurality of images P for each generation. The image P can be acquired from the maker of the target product 50, the content providing server 10 or the like by the generation unit 32 described later, and a specific generation process of the generation unit 32 will be described later.

In the example illustrated in FIG. 5, the “image” of the X-th generation includes an image P of the target product 50 taken from diagonally upper front and an image P of the target product 50 taken from the back side. That is, the X-generation “image” has a different imaging direction of the target product 50.

Note that the “image” for each generation may include an image P having a different scaling ratio, resolution, and the like, in addition to the image pickup direction. The scaling ratio is the ratio of the size of the target product 50 to the entire image P, and the resolution is the resolution of the image P.

That is, at least one of the image pickup direction, the enlargement/reduction ratio, and the resolution of the target product 50 may be different for the plurality of images P for each generation. As a result, it is possible to improve the accuracy when the identifying unit 33, which will be described later, identifies the generation of the target product 50 using the image database 412.

The control unit 3 is a controller, and various programs stored in a storage device inside the information processing device 1 include a RAM as a work area, for example, by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. It is realized by being executed as. The control unit 3 is, for example, a controller, and is realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

The acquisition unit 31, the generation unit 32, the identification unit 33, and the provision unit 34 may be partially or entirely configured by hardware such as ASIC (Application Specific Integrated Circuit) and FPGA (Field Programmable Gate Array). ..

The control unit 3 acquires image information of the target product 50 from the user terminal 100, specifies the generation of the target product 50 based on the image information, and is a different-generation product that is a target product 50 of a generation different from the specified generation. Providing product information about.

The acquisition unit 31 acquires image information that is an image of the target product 50. For example, the acquisition unit 31 acquires an image of the target product 50 imaged using the imaging function of the user terminal 100. The acquisition unit 31 may also acquire, as image information, an image of the target product 50 that the user downloaded from the content providing server 10 via the user terminal 100.

The generation unit 32 generates the image database 412. Specifically, the generation unit 32 extracts the image P of the target product 50 from the images included in the content providing server 10 and the image database in which the extracted image P of the target product 50 is classified for each generation of the target product 50. 412 is generated.

For example, the generation unit 32 first transmits a query designating the target product 50 to the content providing server 10, and the image P designated by the query and the detailed information 411 of the target product 50 associated with the image P are provided to the content providing server. Get from 10. For example, the generation unit 32 extracts an image that matches the query from the product images uploaded to the shopping service.

Subsequently, the generation unit 32 determines whether or not the acquired image P and the detailed information 411 of the target product 50 associated with the image P are a correct combination. For example, the generation unit 32 uses the already generated image database 412 to determine whether the image P and the detailed information 411 are a correct combination.

When the generation unit 32 determines that the image P and the detailed information 411 are a wrong combination, the generation unit 32 corrects the detailed information 411 to correct information. If the generation unit 32 determines that the image P and the detailed information 411 are a wrong combination, the generation unit 32 may discard the acquired image P and the detailed information 411.

Then, when the image P and the detailed information 411 are a correct combination, the generation unit 32 determines whether or not the same image P as the image P already exists in the image database 412. For example, when the image database 412 already includes the same image P as the acquired image P in at least one of the image capturing direction, the scaling ratio, and the resolution of the target product 50, the generation unit 32 acquires the acquired image P and the detailed information 411. Discard. That is, the same image P is prevented from overlapping in the image database 412.

That is, the generation unit 32 generates the image database 412 for the plurality of images P of each generation of the target product 50 such that at least one of the image pickup direction, the scaling ratio, and the resolution of the target product 50 is different.

As a result, the image database 412 that does not include the unnecessary image P can be generated, and thus the storage capacity of the storage unit 4 can be prevented from increasing.

In addition, the generation unit 32 may transmit a query that specifies at least one of the imaging direction, the enlargement/reduction ratio, and the resolution of the target product 50 to the content providing server 10.

In addition, when determining whether the image P and the detailed information 411 are a correct combination, the generation unit 32 may, for example, describe the shopping service item, the sale start date of the item, or a JAN (Japanese Article Number) code. May be used.

The generation unit 32 may store the image information acquired by the acquisition unit 31 as the image database 412.

The identification unit 33 identifies the generation of the target product 50 based on the image information acquired by the acquisition unit 31. Specifically, the specifying unit 33 specifies the generation of the target product 50 based on the comparison result of the image information acquired by the acquisition unit 31 and the image database 412 generated by the generation unit 32.

More specifically, when the image of the target product 50 in the image information and the image P of the target product 50 in the image database 412 match, the specifying unit 33 determines that the image P of the target product 50 in the image information matches. It is specified that the generation corresponds to.

Further, the specifying unit 33 can specify the generation of the target product 50 in the image information by machine learning using the image P of the image database 412 as teacher data, for example. A neural network, a support vector machine, a Bayesian network, etc. can be used as a machine learning algorithm.

The providing unit 34 provides product information regarding another generation product that is the target product 50 of a generation different from the generation of the target product 50 specified by the specifying unit 33. For example, when the information processing device 1 functions as a shopping server, the providing unit 34 provides, as product information, a product list of other-generation products that are sold by the shopping server. For the product information provided by the providing unit 34, necessary information may be extracted from the target information 41 or may be obtained from another server device such as the content providing server 10. Further, the different-generation product provided by the providing unit 34 may provide a plurality of types of target products 50 for one generation, or may provide a plurality of generations of target products 50.

For example, the providing unit 34 provides product information regarding another-generation product of a newer generation than the generation of the target product 50 identified by the identifying unit 33. Specifically, the providing unit 34 provides product information regarding the latest target product 50.

Alternatively, the providing unit 34 may provide the product information regarding the target product 50 of the next generation of the generation specified by the specifying unit 33, not limited to the latest target product 50. The providing unit 34 may also provide product information regarding another-generation product of a generation older than the generation of the target product 50 identified by the identifying unit 33.

Further, the providing unit 34 may provide, among the different-generation products, product information regarding the different-generation products whose prices are similar to the target product 50 in the acquired image information. As a result, for example, it is possible to avoid a situation where the purchase is refrained because the price is too high for another generation of the new generation.

Further, the providing unit 34 provides product information regarding another generation product having a product specification similar to the target product 50 among the other generation products. As a result, it is possible to prevent the satisfaction of the user from being lowered due to the fact that the product purchased by the user is unnecessarily highly functional or, conversely, poorly functional.

Further, the providing unit 34 provides the product information regarding the different-generation products whose sales index regarding sales is equal to or more than a predetermined threshold value among the different-generation products. For example, the providing unit 34 provides product information regarding another-generation products whose sales amount (see FIG. 4) or sales volume (see FIG. 4) is equal to or more than a predetermined threshold.

Further, the providing unit 34 provides product information regarding another-generation products of a maker different from the target product 50 in the image information. For example, the providing unit 34 provides the product information regarding the different-generation products of the same manufacturer and the different-generation products of different manufacturers of the target product 50 in the image information.

Further, the providing unit 34 may provide product information regarding another generation product whose product type is different in the target product 50 of the same series (for example, product name or maker) as the target product 50 in the image information.

Further, when the user terminal 100 is a head mounted display, the providing unit 34 determines that the target product 50 has entered the user's field of view via the user terminal 100, that is, the acquisition unit 31 displays the image information displayed on the head mounted display. When acquiring, the product information displayed on the head mounted display may be provided. In this case, the providing unit 34 displays, for example, product information on the latest generation or product information including advertisement information on another generation product in order to prompt replacement of the target product 50 on the head mounted display.

Next, a procedure of processing executed by the information processing device 1 according to the embodiment will be described with reference to FIG. FIG. 6 is a flowchart showing a procedure of overall processing executed by the information processing device 1 according to the embodiment.

As shown in FIG. 6, first, the acquisition unit 31 acquires image information that is an image of the target product 50 (step S101). Subsequently, the specifying unit 33 specifies the generation of the target product 50 in the image information based on the comparison result between the acquired image information and the image database 412 (step S102).

Subsequently, the providing unit 34 provides product information regarding another generation product that is the target product 50 of a generation different from the generation identified by the identification unit 33 (step S103), and ends the process.

Next, the procedure of the generation process of the image database 412 executed by the generation unit 32 according to the embodiment will be described with reference to FIG. 7. FIG. 7 is a flowchart showing the procedure of the generation process executed by the generation unit 32 according to the embodiment.

As shown in FIG. 7, first, the generation unit 32 extracts the image P of the target product 50 from the images included in the server device (content providing server 10) (step S201).

Subsequently, the generation unit 32 compares the image P of the already existing image database 412 with the newly extracted image P (step S202), and in the image P of the image database 412 and the extracted image P, the target product It is determined whether or not the imaging directions of 50 are different (step S203).

When the generation unit 32 determines that the imaging orientation of the target product 50 is different (step S203: Yes), it stores the extracted image P in the corresponding generation of the image database 412 (step S204), and ends the process.

On the other hand, in step S203, when the generation unit 32 determines that the target product 50 has the same imaging direction (step S203: No), the image P of the image database 412 and the extracted image P of the target product 50 of the target product 50. It is determined whether the scaling rates are different (step S205).

When the generation unit 32 determines that the scaling rates of the target products 50 are different (step S205: Yes), the generation unit 32 executes step S204 and determines that the target products 50 have the same scaling rate (step S205: No). Then, it is determined whether the resolution of the image P is different between the image P of the image database 412 and the extracted image P (step S206).

When the generation unit 32 determines that the resolutions of the images P are different (step S206: Yes), it executes step S204, and when the resolutions of the images P are determined to be the same (step S206: No), the extracted images are extracted. P is discarded (step S207), and the process ends.

Further, the information processing apparatus 1 according to the above-described embodiment is realized by, for example, a computer 1000 configured as shown in FIG. FIG. 8 is a hardware configuration diagram illustrating an example of a computer 1000 that realizes the functions of the information processing device 1 according to the embodiment. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I/F) 1500, an input/output interface (I/F) 1600, and a media interface (I/F) 1700.

The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400, and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 starts up, a program dependent on the hardware of the computer 1000, and the like.

The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from another device via the network N, sends the data to the CPU 1100, and transmits the data generated by the CPU 1100 to the other device via the network N.

The CPU 1100 controls output devices such as a display and a printer and input devices such as a keyboard and a mouse via the input/output interface 1600. The CPU 1100 acquires data from the input device via the input/output interface 1600. The CPU 1100 also outputs the generated data to the output device via the input/output interface 1600.

The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the program or data to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

For example, when the computer 1000 functions as the information processing device 1 according to the embodiment, the CPU 1100 of the computer 1000 realizes the function of the control unit 3 by executing the program loaded on the RAM 1200. Further, the HDD 1400 stores the data in the storage unit 4. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them, but as another example, these programs may be acquired from another device via the network N.

As described above, the information processing device 1 according to the embodiment includes the acquisition unit 31, the identification unit 33, and the provision unit 34. The acquisition unit 31 acquires image information that is an image of the target product 50. The identification unit 33 identifies the generation of the target product 50 based on the image information acquired by the acquisition unit 31. The providing unit 34 provides product information regarding another generation product that is the target product 50 of a generation different from the generation of the target product 50 specified by the specifying unit 33.

Accordingly, for example, when the user purchases a new electric appliance or the like, it is not necessary to check the product number or the product name of the owned product by himself or herself to search for the product, so that the user's annoyance can be reduced.

The providing unit 34 also provides product information regarding another generation product of a newer generation than the generation of the target product 50 identified by the identifying unit 33.

As a result, it is possible to easily provide the new-generation target product 50 while reducing the user's annoyance, so that the user's satisfaction can be increased.

The providing unit 34 also provides product information regarding another-generation product of a generation older than the generation of the target product 50 identified by the identifying unit 33.

As a result, it is possible to easily provide the target product 50 of the old generation while reducing the user's annoyance, and it is possible to increase the satisfaction level of the user who is strongly particular about the old generation of the target product 50.

Further, the providing unit 34 provides product information regarding another generation product having a price similar to that of the target product 50 among other generation products.

Thereby, for example, it is possible to avoid a situation in which the purchase is refrained due to the price being too high for a new-generation product of another generation, so that the sales of the target product 50 can be improved.

Further, the providing unit 34 provides product information regarding another generation product having a product specification similar to the target product 50 among the other generation products.

As a result, it is possible to prevent the satisfaction of the user from being lowered due to the fact that the product purchased by the user is unnecessarily highly functional or, conversely, poorly functional.

Further, the providing unit 34 provides the product information regarding the different-generation products whose sales index regarding sales is equal to or more than a predetermined threshold value among the different-generation products.

As a result, the target product 50 that sells well among different-generation products can be easily provided, so that the user's satisfaction can be improved.

Further, the providing unit 34 provides product information regarding another-generation products of a manufacturer different from the target product 50.

As a result, the lineup of target products 50 that can be provided to the user can be expanded, and the user's satisfaction can be improved.

In addition, the information processing device 1 according to the embodiment further includes the generation unit 32. The generation unit 32 extracts the image P of the target product 50 from the images of the predetermined server device (content providing server 10) and generates the image database 412 in which the extracted image P of the target product 50 is classified by generation. To do. The specifying unit 33 specifies the generation of the target product 50 based on the comparison result between the image information acquired by the acquiring unit 31 and the image database 412 generated by the generating unit 32.

As a result, an image other than the image provided by the manufacturer, for example, an image uploaded on a shopping server or the like can be used, so that the accuracy of the generation identifying process by the identifying unit 33 can be improved.

The image database 412 also includes a plurality of images P for each generation. The generation unit 32 generates the image database 412 with respect to the plurality of images P for each generation such that at least one of the imaging direction, the enlargement/reduction ratio, and the resolution of the target product 50 is different.

As a result, since the overlapping image P is not stored in the image database 412, the storage capacity of the storage unit 4 can be prevented from increasing, and the image database 412 is composed of various images P. The processing accuracy can be improved.

The acquisition unit 31 also acquires the image information displayed on the head mounted display. The providing unit 34 provides the product information displayed on the head mounted display.

As a result, it is possible to provide product information related to another-generation product without the user performing an operation of capturing image information.

As described above, some of the embodiments of the present application have been described in detail based on the drawings, but these are examples, and various modifications based on the knowledge of those skilled in the art, including the modes described in the section of the disclosure of the invention, It is possible to implement the present invention in other forms with improvements.

Further, of the processes described in the above embodiment, all or part of the processes described as being automatically performed may be manually performed, or the processes described as being manually performed may be performed. All or part of the process can be automatically performed by a known method. In addition, the processing procedures, specific names, information including various data and parameters shown in the above-mentioned documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various kinds of information shown in each drawing are not limited to the illustrated information.

Further, each constituent element of each illustrated device is functionally conceptual, and does not necessarily have to be physically configured as illustrated. That is, the specific form of distribution/integration of each device is not limited to that shown in the figure, and all or a part of the device may be functionally or physically distributed/arranged in arbitrary units according to various loads or usage conditions. It can be integrated and configured.

Further, the respective processes described in the above-described embodiments can be appropriately combined within a range in which the processing contents do not contradict each other.

Also, the above-mentioned "section (module, unit)" can be read as "means" or "circuit". For example, the acquisition unit 31 can be read as an acquisition unit or an acquisition circuit.

DESCRIPTION OF SYMBOLS 1 Information processing device 2 Communication part 3 Control part 4 Storage part 10 Content provision server 31 Acquisition part 32 Generation part 33 Identification part 34 Provision part 41 Target information 100 User terminal 411 Detailed information 412 Image database S Information processing system

Claims (12)

An acquisition unit that acquires image information that is an image of the target product,
An identification unit that identifies the generation of the target product based on the image information acquired by the acquisition unit,
An information processing apparatus, comprising: a providing unit that provides product information regarding another generation product that is a target product of a generation different from the generation of the target product specified by the specifying unit. The providing unit is
The information processing apparatus according to claim 1, further comprising: providing merchandise information regarding the different-generation merchandise of a newer generation than the generation of the target merchandise specified by the specifying unit. The providing unit is
The information processing apparatus according to claim 1 or 2, wherein product information regarding the another-generation product of a generation older than the generation of the target product specified by the specifying unit is provided. The providing unit is
The information processing apparatus according to any one of claims 1 to 3, wherein, among the different-generation products, product information regarding the different-generation products that are similar in price to the target product is provided. The providing unit is
The information processing apparatus according to any one of claims 1 to 4, wherein, among the different-generation products, product information regarding the different-generation products whose product specifications are similar to the target product is provided. The providing unit is
The information processing apparatus according to any one of claims 1 to 5, wherein, among the different-generation products, the product information regarding the different-generation products whose sales index regarding sales is equal to or more than a predetermined threshold value is provided. The providing unit is
The information processing apparatus according to any one of claims 1 to 6, wherein product information regarding the different-generation product of a manufacturer different from the target product is provided. An image of the target product is extracted from the images of a predetermined server device, and further includes a generation unit that generates an image database in which the extracted image of the target product is classified for each generation.
The specifying unit is
The generation of the target product is specified based on a comparison result between the image information acquired by the acquisition unit and the image database generated by the generation unit. 1. The information processing device described in 1. The image database is
Including multiple images for each generation,
The generator is
The information processing apparatus according to claim 8, wherein the image database is generated so that at least one of an image pickup direction, a scaling ratio, and a resolution of the target product is different for the plurality of images for each generation. The acquisition unit is
Obtaining the image information displayed on the head mounted display,
The providing unit is
The information processing apparatus according to claim 1, wherein the product information displayed on the head mounted display is provided. An information processing method executed by a computer,
An acquisition step of acquiring image information that is an image of the target product,
A specifying step of specifying the generation of the target product based on the image information acquired by the acquiring step;
And a providing step of providing product information regarding another generation product which is a target product of a generation different from the generation of the target product specified by the specifying process. An acquisition procedure for acquiring image information that is an image of the target product,
A specifying procedure for specifying the generation of the target product based on the image information acquired by the acquiring procedure;
An information processing program for causing a computer to execute a providing procedure for providing product information regarding another generation product, which is a target product of a generation different from the generation of the target product specified by the specifying procedure.

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