JP6975020B2 - Trading card purchase assessment system - Google Patents

Description

The present invention relates to a technique for supporting a purchase assessment work of a trading card having a wide variety and a large number of types.

The purchase price assessment system of Patent Document 1 includes a terminal device that reads a plurality of trading cards with a scanner and collates them with a database to extract the purchase price at a store. The collation image data is stored in the terminal device in advance, and if the terminal device does not have the collation image data, the read image data is transmitted to the server and collated on the server side.

Japanese Unexamined Patent Publication No. 2014-215930

There are tens of thousands and hundreds of thousands of types of trading cards. For this reason, it is important to expedite the work of assessing the purchase price from the huge list from the viewpoint of costs such as labor costs and prompt purchase service to the client who is the client.

The conventional methods including Patent Document 1 focus on the technology that enables easy purchase assessment without specialized knowledge, and the technical viewpoint is that even an unfamiliar person has knowledge. It supports you so that you can work as if you were an abundant expert. Therefore, if the purchase price is stored in a database as in Patent Document 1, the purchase assessment work can be performed accurately and speedily to some extent without abundant knowledge.

However, the purchase price assessment system of Patent Document 1 makes an inquiry to the server when the collation image data is not stored in the terminal device of the store, and the collation process itself takes time in the first place. Further, in the mechanism of Patent Document 1, since the read image data is collated with the collated image data stored in the auxiliary storage device such as a hard disk device, the data access speed is slow and the collation process takes time. Was there.

In this way, the conventional method automates the purchase valuation using a computer device installed in the store, but the collation processing speed is slow in the first place, and how to improve the collation processing capacity to increase the load of the purchase valuation work itself. It was not possible to realize or achieve a mechanism for mitigation and time reduction.

Further, Patent Document 1 improves the physical reading speed, not the speed of the collation process, by continuously reading a plurality of trading cards with a scanner equipped with an automatic document feeder. The rotating roller of the automatic paper feed device touches the front or back surface of the trading card. Considering scratches on the front and back surfaces that affect the commercial value of the trading card, it is preferable to avoid mechanical contact with the front or back surface of the trading card as much as possible.

Therefore, the present invention provides a trading card purchase assessment system capable of improving the processing capacity for collating with image data of trading cards having a large number of types, shortening the time required for purchase assessment, and reducing costs such as labor costs. To provide.

(1) The trading card purchase assessment system of the present invention stores a management device that manages trading card collation image data and transaction information including a purchase price, and stores collation image data and transaction information, and the purchase is brought in. It has a store device that performs purchase assessment processing of cards subject to assessment. The store device expands a plurality of collation image data distributed from the image pickup unit for photographing the purchase assessment target card, the semiconductor storage unit, and the management device into the semiconductor storage unit, and caches each collation image data. It is specified as a collation control unit that compares the captured image data to be purchased with a plurality of cached collation image data and specifies the collation image data that matches the purchase target image data. It is equipped with a purchase control unit that extracts transaction information associated with the collation image data.

The management device stores a trading card image master data group including a plurality of collation image data delivered to the store device as a part, and a transaction information master including a purchase price associated with each data of the image master data group. At least one of the storage part, the history of purchase assessment at store equipment, the history of event information about trading cards, the posting history of websites that feature trading cards, and the posting history of community sites that include the topic of trading cards. Based on the analysis unit that generates purchase needs trend information for trading cards brought into the store, and a preset number of collations that can be collectively deployed to the semiconductor storage unit of the store equipment based on the purchase needs trend information. Distribution including the distribution collation data generation unit that extracts the image data group for collation from the image master data, the extracted collation image data group, and the transaction information associated with the collation image data group extracted from the transaction information master. It is provided with a collation data distribution control unit that distributes collation data to store equipment.

(2) In (1) above, the analysis unit determines that the number of requests for purchase assessment is a trading card or the number of requests for purchase assessment from the image master data that is equal to or greater than the predetermined value, based on the history of purchase assessment at the store device. It is possible to extract trading cards having a predetermined rank or higher in a large number of ranks and to generate the extracted trading cards as purchase needs trend information.

(3) In the above (1) or (2), the analysis unit is a trading card in which the rate of change in the number of requests for purchase assessment from the image master data is equal to or greater than a predetermined value based on the history of purchase assessment in the store device. Alternatively, it can be configured to extract trading cards having a rate of change in the purchase price of a predetermined value or more and generate the extracted trading cards as purchase needs trend information.

(4) In the above (1) to (3), the analysis unit extracts the trading card used or introduced at the event from the image master data based on the history of the event information related to the trading card, and is extracted. Trading cards can be configured to generate as purchase needs trend information.

(5) In (1) to (4) above, the analysis unit extracts and extracts trading cards related to the theme from the image master data based on the posting history of the website that takes up the trading card as the theme. The trading card can be configured to be generated as purchase needs trend information.

(6) In (1) to (5) above, the analysis unit extracts the trading card that became a topic on the community site from the image master data based on the posting history of the community site including the topic of the trading card. , The extracted trading card can be configured to be generated as purchase needs trend information.

(7) In (1) above, the analysis unit has a trading card group or a number of requests for purchase assessment in which the number of requests for purchase assessment is a predetermined value or more from the image master data based on the history of purchase assessment in the store device. Image master data based on the first analysis process that extracts trading card groups with a predetermined order or higher in descending order and generates the extracted trading card group as the first purchase needs trend information, and the history of event information related to trading cards. The second analysis process that extracts the trading card group used or introduced at the event from the list and generates the extracted trading card group as the second purchase needs trend information, and the posting of the website that takes up the trading card as the theme. Includes the third analysis process that extracts the trading card group related to the theme from the image master data based on the history and generates the extracted trading card group as the third purchase needs trend information, and the topic of trading cards. Based on the posting history of the community site, the trading card group that became a hot topic on the community site is extracted from the image master data, and the extracted trading card group is generated as the 4th purchase needs trend information. ,It can be performed.

Then, the distribution collation data generation unit includes a first collation image data group extracted based on the first purchase needs trend information, and a second collation image data group extracted based on the second purchase needs trend information. The third collation image data group extracted based on the third purchase needs trend information and the fourth collation image data group extracted based on the fourth purchase needs trend information are added together for distribution collation data. It can be configured to generate a collation image data group of.

(8) The management device of the present invention collates the purchase target image data obtained by photographing the purchase assessment target card brought in with the collation image data cached in the semiconductor storage unit, and associates it with the specified collation image data. It is connected to a store device that performs purchase valuation processing to extract transaction information, and manages image data for matching trading cards used in purchase valuation processing and transaction information including purchase prices. The management device stores a trading card image master data group including a plurality of collation image data delivered to the store device as a part, and a transaction information master including a purchase price associated with each data of the image master data group. At least one of the storage part, the history of purchase assessment at store equipment, the history of event information about trading cards, the posting history of websites that feature trading cards, and the posting history of community sites that include the topic of trading cards. Based on the analysis unit that generates purchase needs trend information for trading cards brought into the store, and a preset number of collations that can be collectively deployed to the semiconductor storage unit of the store equipment based on the purchase needs trend information. Distribution including the distribution collation data generation unit that extracts the image data group for collation from the image master data, the extracted collation image data group, and the transaction information associated with the collation image data group extracted from the transaction information master. It is provided with a collation data distribution control unit that distributes collation data to store equipment.

(9) In the program of the present invention, the purchase target image data obtained by photographing the purchase assessment target card brought in is collated with the collation image data cached in the semiconductor storage unit, and the transaction is linked to the specified collation image data. It is connected to a store device that performs a purchase valuation process to extract information, and is executed by a management device that manages the matching image data of the trading card used in the purchase valuation process and the transaction information including the purchase price. Here, the management device is a transaction information master including an image master data group of a trading card including a plurality of collation image data delivered to the store device as a part and a purchase price associated with each data of the image master data group. It is equipped with a storage unit that stores data. This program should be at least one of the history of purchase assessment at store equipment, the history of event information about trading cards, the history of posting on websites with the theme of trading cards, and the history of posting on community sites including the topic of trading cards. Based on the first function to generate purchase needs trend information of trading cards brought into the store, and a preset predetermined number that can be collectively deployed to the semiconductor storage unit of the store device based on the purchase needs trend information. A second function for extracting a collation image data group from the image master data , a distribution collation including the extracted collation image data group and transaction information associated with the collation image data group extracted from the transaction information master. The management device realizes the third function of distributing data to the store device.

(10) The store device of the present invention is connected to a management device that manages the matching image data of the trading card and the transaction information including the purchase price, and performs the purchase assessment process of the brought-in purchase assessment target card. The store device is a collation image data distributed from a shooting unit that shoots a card subject to purchase assessment, a semiconductor storage unit, and a management device. It can be collectively deployed to the semiconductor storage unit selected based on at least one of the history of event information, the posting history of websites with the theme of trading cards, and the posting history of community sites including the topic of trading cards. A data expansion unit that expands a predetermined number of preset collation image data groups in a semiconductor storage unit and caches each collation image data, and a plurality of captured image data to be purchased and cached. A collation control unit that compares with the collation image data of the above and specifies the collation image data that matches the purchase target image data, and a purchase control unit that extracts transaction information associated with the specified collation image data. Be prepared.

(11) The program of the present invention is executed by a store device that is connected to a management device that manages transaction information including matching image data of a trading card and transaction information including a purchase price, and performs purchase assessment processing of the brought-in purchase assessment target card. It is a program to be done. This program is the first function to shoot the purchase assessment target card via the shooting device, and the collation image data distributed from the management device. In the management device, the history and trading card related to the purchase assessment in the store device. Collectively in the semiconductor storage section of the above store equipment selected based on at least one of the history of event information related to, the posting history of websites with the theme of trading cards, and the posting history of community sites including the topic of trading cards. A second function of collectively expanding a predetermined number of collation image data groups that can be expanded in the above semiconductor storage unit and making each collation image data cached, and a photographed purchase target. The third function of comparing the image data with a plurality of cached collation image data to identify the collation image data that matches the purchase target image data, and the transaction information associated with the identified collation image data. The fourth function of extraction is realized in the store device.

According to the present invention, the processing capacity for collating the image data to be purchased, which is read in a non-contact manner by shooting, with the image data of a trading card having a large number of types is improved, the time required for the purchase assessment is shortened, the labor cost, etc. The cost can be reduced.

It is a figure for demonstrating the outline of the trading card purchase assessment system which concerns on 1st Embodiment of this invention. It is a functional block diagram of each apparatus constituting the trading card purchase assessment system which concerns on 1st Embodiment of this invention. It is a figure for demonstrating various data which concerns on 1st Embodiment of this invention, (a) is the image data for collation, (b) is transaction information, (c) is the figure which shows an example of purchase valuation history. .. It is a figure for demonstrating the purchase needs analysis process which concerns on 1st Embodiment of this invention. It is a figure which shows the process flow of the purchase needs analysis process and the collation data generation process for distribution of the trading card purchase assessment system which concerns on 1st Embodiment of this invention. It is a figure which shows the processing flow of the trading card purchase assessment system which concerns on 1st Embodiment of this invention. It is a figure which shows the processing flow which used the hold history of the trading card purchase assessment system which concerns on 1st Embodiment of this invention.

Hereinafter, embodiments will be described with reference to the drawings.

(First Embodiment)
1 to 7 are views showing the first embodiment. FIG. 1 is a diagram for explaining an outline of the trading card purchase assessment system of the present embodiment. As shown in FIG. 1, this system includes a store device 100 and a management device 300. The store device 100 is provided in a store where a customer brings in a trading card for which a purchase assessment is requested. For example, the clerk receives the purchase assessment target card from the customer at the purchase counter of the store, and performs the purchase assessment using the store device 100. Not only one but also a plurality of store devices 100 can be installed in one store.

The store device 100 is provided with a photographing device, and in the present embodiment, by photographing the purchase assessment target card, the purchase assessment target card is read in a non-contact type. The store device 100 collates the purchase target image data generated by photographing the purchased purchase assessment target card brought in with the collation image data distributed from the management device 300, and associates it with the specified collation image data. Performs purchase assessment processing to extract transaction information. The valuation information is displayed on the display unit of the store device 100, and the customer and the clerk can confirm the valuation information of each read valuation target card.

If there are multiple cards subject to purchase assessment, the clerk will take pictures one by one with a shooting device and have them read the cards subject to purchase assessment. The store device 100 collates each purchase target image data with the collation image data, and generates each assessment information based on the collation result. The generated one or more assessment information can be aggregated as assessment detail information. The store device 100 forms the generated one or more valuation information in a predetermined detail format and generates the valuation detail information. The clerk can display the assessment details information on the display unit of the store device 100 and present it to the customer, or print it out and provide it to the customer.

The management device 300 manages the matching image data of the trading card used in the purchase assessment process of the store device 100 and the transaction information including the purchase price. The management device 300 is connected to the store device 100 via a wireless or wired network, and the store device 100 can download collation image data and transaction information from the management device 300. The management device 300 can also be connected to the store device 100 installed in another store, provides various data used for the purchase valuation process to each store, and has a history of the purchase valuation performed at each store. Are centrally managed.

FIG. 2 is a functional block diagram of each device constituting the trading card purchase assessment system according to the present embodiment. FIG. 3 is a diagram for explaining various data of the present embodiment.

The store device 100 includes a communication device 110, a control device 120, a storage device 130, a photographing device 140, a display / operation input device 150, and a high-speed processing semiconductor storage device (hereinafter referred to as a semiconductor storage device) 160. There is. The communication device 110 performs wireless or wired data communication control including the connection with the management device 300.

The store device 100 is a personal computer or a tablet computer, and the photographing device 140 is provided as a built-in type or an external type. The same applies to the display / operation input device 150, and a display device, a keyboard, a mouse, or the like may be individually connected, or a touch panel system integrated with the device may be used.

The storage device 130 is an auxiliary storage device, and is a storage area connected to an external bus that cannot be directly accessed from a CPU such as a hard disk drive. On the other hand, the high-speed processing semiconductor storage device 160 is a main storage device, and is, for example, a storage area that is directly connected to the main bus and can be immediately accessed by the CPU.

The control device 120 is a control unit such as a CPU, and controls the entire store device 100. The control device 120 includes a data acquisition unit 121, a purchase control unit 122, a shooting control unit 123, a collation control unit 124, and a print control unit 125.

The data acquisition unit 121 transmits a data acquisition request to the management device 300, and stores the distribution collation data distributed from the management device 300 in the storage device 130. The received distribution collation data includes the collation image data 131 and the transaction information 132, and the data acquisition unit 121 stores the collation image data 131 and the transaction information 132 in the storage device 130. The data acquisition process by the data acquisition unit 121 can be performed at an arbitrary timing before the store clerk performs the purchase assessment process. Further, the data acquisition process can be performed a plurality of times at predetermined time intervals.

The purchase control unit 122 collectively deploys a plurality of collation image data 131 stored in the storage device 130, that is, collation image data 131 distributed from the management device 300, in the semiconductor storage device 160, and each of the plurality of collations. It functions as a data expansion unit that makes the image data cached. The purchase control unit 122 can extract the collation image data 131 from the storage device 130 and cache it in the semiconductor storage device 160, for example, based on a predetermined start operation or start operation by the store clerk.

The shooting control unit 123 controls the shooting operation of the shooting device 140, and generates image data (purchase target image data) of the purchase assessment target card using the image pickup data output from the shooting device 140. The photographing device 140 is, for example, a camera provided with an image pickup element such as a CCD or CMOS and a photographing lens. Further, the shooting device 140 is capable of continuous shooting operation in real time in the moving image mode. For example, the shooting control unit 123 automatically generates image data to be purchased simply by holding the purchase assessment target card over the shooting lens. Can be controlled to do so. With this configuration, a plurality of purchase assessment target cards can be continuously read by the photographing device 140. Further, it is possible to shoot a plurality of images at once, and the shooting control unit 123 can cut out a plurality of purchase target image data included in one shot image and generate each purchase target image data.

The collation control unit 124 compares the captured image data to be purchased with the plurality of collation image data cached in the semiconductor storage device 160, and performs collation processing to identify the collation image data that matches the image data to be purchased. conduct. In the collation process, for example, a known method such as an image matching process for matching images using feature points such as edges and corners extracted from image data and feature quantities calculated from a region around the feature points. Can be applied.

FIG. 3A is a diagram showing an example of collation image data 131. The collation image data of the trading card includes patterns, characters, figures, etc. such as characters (not shown). The collation image data is image data provided by the issuer (seller) of the trading card, or image data generated by reading the actual trading card sold by shooting or scanning with a scanner. The collation image data 131 is composed of a plurality of image data groups, and is associated with a unique image ID.

The purchase control unit 122 extracts the transaction information 132 associated with the collation image data specified by the collation control unit 124 from the storage device 130. FIG. 3B is a diagram showing an example of transaction information 132. The transaction information 132 includes a card name, rarity (rare value), purchase category, parallel, purchase amount, and sales amount for each card number which is identification information of a trading card, and each transaction information 132 includes an image ID and an image ID. It is tied. Further, the transaction information 132 may include a card state. The purchase price and the sales price can be set according to the card status, and the price can be set lower in the order of rank A (good), rank B (normal), and rank C (not very good) of the card status.

As described above (see FIG. 1), the purchase control unit 122 generates valuation information composed of information including the extracted transaction information 132 as a result of collation, in other words, as a valuation result of the purchase valuation target card. .. The assessment information is displayed on the store device 100 as an assessment information display screen. On the assessment information display screen, information such as the image data of the read purchase assessment target card, the card number, the card name, reality, the purchase category, and parallel is displayed, and the card status is displayed so as to be selectable. When the card state is selected on the assessment information display screen, the purchase control unit 122 extracts and displays the purchase amount and the sales amount associated with the selected card state from the transaction information 132.

Further, as shown in FIG. 1, the purchase control unit 122 generates valuation detail information that lists a plurality of valuation information and displays it on the detail screen. On the detail screen, the card number, card name, rarity, status, purchase price, etc. are displayed together with the image data to be purchased for each serial number of the assessment information. In some cases, the same trading card may be assessed multiple times, including the number of cards and a subtotal of the purchase price according to the number of cards. Each valuation information displayed in the list on the detail screen can be excluded from the target of purchase valuation by selecting the "Delete from list" button.

On the detail screen, the total number of cards of each assessment information and the total purchase price are displayed. The purchase control unit 122 can perform these aggregation processes based on each assessment information and display it on the detail screen (generate the assessment detail information). By selecting each assessment information on the detail screen, it is possible to control the display of the assessment information screen for each assessment information described above, and it is possible to update the assessment information such as changing the card status, for example. ..

Further, if the print button is selected, the assessment details information can be printed by the printing device 200. When the print button is selected, the purchase control unit 122 outputs a print instruction to the print control unit 125, and the print control unit 125 outputs the valuation information and the valuation detail information to print the print control to be printed by the printing device 200. conduct. The hold button can store the valuation result (assessment information) in the storage device 130, for example, when the purchase valuation is performed but the customer wants to withhold the final intention of the purchase.

The confirmation button confirms the purchase of the purchase assessment target card brought in by the customer. When the confirm button is selected, the purchase control unit 122 generates the purchase valuation history 133 based on the valuation information and the valuation detailed information and stores it in the storage device 130. On the other hand, the cancel button is used to cancel the purchase in the purchased purchase assessment. At this time, when the cancel button is selected, the purchase control unit 122 can store the executed purchase valuation, that is, the valuation information and the valuation detailed information in the storage device 130 as the purchase valuation history 133.

FIG. 3C is a diagram showing an example of the purchase assessment history 133. The purchase valuation history 133 is a purchase valuation ID, a hold ID, a purchase result, a serial number, an image ID, a guard number, a card name, a rarity, a purchase classification, a parallel, and a card state, which are given for each purchased purchase valuation action received. , Purchase amount, number of sheets, subtotal of purchase amount, total number of sheets, total amount. The hold ID is a history of purchase assessment actions performed when the hold button described above is selected. The purchase result records information indicating whether the purchase for the purchased purchase assessment was successful, whether the customer held the purchase, or whether the customer canceled the purchase. The purchase valuation history 133 of the present embodiment is a history related to the purchase valuation including the purchase valuation history in which the purchase was successful, the purchase valuation history in which the purchase was suspended, and the purchase valuation history in which the purchase was not completed. The purchase control unit 122 transmits the purchase assessment history 133 to the management device 300 at an arbitrary timing.

Next, the management device 300 will be described. As shown in FIG. 2, the management device 300 includes a communication device 310, a control device 320, and a storage device 330.

The storage device 330 stores a data group of the image master 331 of the trading card including a plurality of collation image data 131 distributed to the store device 100. The image ID is associated with the data group of the image master 331 as described above. Further, the transaction information master 332 associated with each data of the data group of the image master 331 is also stored. The transaction information master 332 is transaction information including the purchase price, and has the same data structure as in FIG. 3B.

The control device 320 includes an analysis unit 321, a distribution collation data generation unit 322, a collation data distribution control unit 323, a purchase assessment history management unit 324, and an information management unit 325.

The analysis unit 321 has at least one of the history related to the purchase assessment in the store device 100, the history of event information related to the trading card, the posting history of the website taking up the theme of the trading card, and the posting history of the community site including the topic of the trading card. Based on the above, the purchase needs trend information of trading cards brought into the store is generated. The generated purchase needs trend information is stored in the storage device 330.

The distribution collation data generation unit 322 extracts from the image master 331 a predetermined number of preset collation image data groups that can be collectively deployed to the semiconductor storage device 160 of the store device 100 based on the purchase needs trend information. Then, it is stored in the storage device 330. Verification data distribution control section 323, the extracted verification image data group, distributes the distribution matching data 333 including the string attached transaction information to the shop device 100 to the collation image data group to be extracted from the transaction information master 332 do. At this time, in the process of extracting the transaction information associated with each of the predetermined number of collation image data groups from the transaction information master 332, the distribution collation data generation unit 322 extracts the predetermined number of collation image data groups from the image master 331. At that time, the linked transaction information may be extracted from the transaction information master 332 and set as a set to generate the distribution collation data 333. Further, the collation image data group extracted by the distribution collation data generation unit 322 is stored as the distribution collation data 333, the transaction information is individually stored in the transaction information master 332, and the collation data distribution control unit 323 stores the transaction information individually. Even if the transaction information associated with the collation image data group is extracted from the transaction information master 332 when the collation image data group is distributed to the store device 100, the distribution collation data 333 is generated. good.

The purchase assessment history management unit 324 receives the purchase assessment history transmitted from the store device 100 and stores it in the storage device 330. As described above, the purchase valuation history 334 includes a purchase valuation history in which the purchase of each store is successful, a purchase valuation history in which the purchase is suspended, and a purchase valuation history in which the purchase is not completed.

The information management unit 325 inputs each information of the event information history related to the trading card, the posting history of the website focusing on the trading card, the posting history of the community site including the topic of the trading card, and performs information collection processing. .. For example, it controls information input through a predetermined screen, connects to a web server that provides a website or a community server that provides a community site, and collects various pages and various article information posted on the pages. be able to.

The history of event information related to trading cards is the trading cards used in decks (combinations of multiple trading cards used in trading card games (TCG)) featured in events related to trading cards (for example, tournaments). It is a trading card that was introduced. The trading cards of the present embodiment include not only game-like trading cards used in trading card games, but also trading cards for appreciation such as exchange (trade) and collection (collection). For this reason, for example, the history of event information includes event information related to trading cards that are not related to game characteristics such as exchange and collection, and trading that has attracted attention or was introduced at events such as exchange and collection. Cards are also included.

The posting history of a website that takes up the theme of trading cards includes the above-mentioned event information, and also sells or introduces trading cards as a trading card issuer (seller) or business, or privately. Information posted on the page.

The posting history of a community site including the topic of trading cards is information on which trading cards are taken up as a topic on community sites that transmit and exchange information such as SNS (social networking service).

FIG. 4 is a diagram for explaining the purchase needs analysis process by the analysis unit 321 of the present embodiment. As shown in Fig. 4, using the purchase assessment history at the store, the history of event information related to trading cards, the posting history of websites focusing on trading cards, and the posting history of community sites including the topic of trading cards, Understand the trends in customer purchasing needs. Then, based on the purchase needs trend information, a predetermined number of preset collation image data groups that can be collectively deployed in the semiconductor storage device 160 of the store device 100 are extracted from the image master 331.

There are tens of thousands and hundreds of thousands of trading cards, and the number of collation image data that serves as the master of purchase assessment is enormous, and new cards are increasing every day. Therefore, if the image matching process is performed from a huge number of collation image data, the collation process speed is significantly reduced and the response is low. If the responsiveness is low, the time required for the purchase assessment will increase and the customer satisfaction will decrease. In particular, if the number of cards subject to purchase assessment brought in by the customer is large, the time required for purchase assessment will further increase.

Therefore, in the present embodiment, in order to speed up the collation process using the image data of the store apparatus 100, the collation image data group cached in the semiconductor storage device 160 is matched. However, since the storage capacity of the semiconductor storage device 160 has an upper limit (limitation), the number of collation image data that can be cached is limited.

Therefore, in the present embodiment, the purchase needs trend is analyzed, the collation image data to be cached in the semiconductor storage device 160 is selected based on the purchase needs trend, and the selected collation image data group is distributed. In the store device 100, only the selected collation image data is expanded in the semiconductor storage device 160 and the collation process is performed. With this configuration, a predetermined number of collation image data groups centered on the purchase assessment target cards that customers will bring in based on the purchase needs trend are formed, which is extremely compared to the huge number of image masters. Even with a small number of collation image data groups, the number of targets for high-speed collation processing can be increased, the time required for purchase assessment can be shortened, customer satisfaction can be improved, and labor costs and other costs can be reduced. Can be done.

Here, the purchase needs trend analysis process will be described. For example, the analysis unit 321 extracts and extracts trading cards having a predetermined number or more of purchase valuation requests and trading cards having a predetermined number of purchase valuation requests based on the history of purchase valuation. Trading cards can be generated as purchase needs trend information.

Further, the analysis unit 321 extracts and extracts trading cards in which the rate of change in the number of requests for purchase assessment is equal to or greater than a predetermined value and trading cards in which the rate of change in purchase price is equal to or greater than a predetermined value, based on the history of purchase assessment. Trading cards can be generated as purchase needs trend information. The purchase needs trend information generated based on the history of the purchase assessment is stored in the storage device 330 as the first purchase needs trend information.

Next, the analysis unit 321 can extract the trading cards used or introduced at the event based on the history of the event information regarding the trading cards, and generate the extracted trading cards as the second purchase needs trend information. .. For example, it is possible to extract trading cards used in a deck ranked high in a TCG tournament within a predetermined period.

In addition, the analysis unit 321 may extract trading cards related to the theme based on the posting history of the website that takes up the trading card as the theme, and generate the extracted trading cards as the third purchase needs trend information. can. For example, it is possible to extract the top trading cards in descending order of the number of cards picked up within a predetermined period, or to extract trading cards whose rate of increase / change in the number of topics mentioned within a predetermined period is equal to or higher than a predetermined value. ..

Furthermore, the analysis unit 321 extracts the trading cards that have become a hot topic on the community site based on the posting history of the community site including the topic of the trading card, and generates the extracted trading cards as the fourth purchase needs trend information. Can be done. For example, it is possible to extract the top trading cards in descending order of the number of topics covered within a predetermined period.

Then, in the present embodiment, the collation image data group delivered to the store apparatus 100 can be extracted from the image master 331 by using the purchase needs trend information based on at least one of the history information. However, it is possible to grasp the purchase needs trend information of each of these historical information and configure the image data group for collation to be extracted in a complex manner.

FIG. 5 is a diagram showing a processing flow of the purchase needs analysis processing and the distribution collation data generation processing of the present embodiment. Steps S301 to S304 are the above-mentioned collection processing and storage processing of each history information, and are performed by the purchase assessment history management unit 324 and the information management unit 325. Then, the analysis unit 321 performs each of the following analysis processes (S305).

Based on the history of purchase valuation in the store device 100, the analysis unit 321 has a trading card group in which the number of requests for purchase valuation is a predetermined value or more from the image master 331, and the number of requests for purchase valuation is higher than the predetermined order. A first analysis process is performed in which a trading card group or the like is extracted and the extracted trading card group is generated as the first purchase needs trend information.

For example, in the purchase valuation history, the top X1 cases with the most purchase valuations in the last week are extracted. In addition, the top X2 cases with a sudden increase in purchase assessments in the last 3 days (rate of increase / change in the number of requests above a predetermined value) are extracted. In addition, the top X3 cases in which the rate of increase in the purchase price has increased by a predetermined value or more within a predetermined period are extracted.

The analysis unit 321 extracts the trading card group used or introduced at the event from the image master 331 based on the history of the event information related to the trading card, and uses the extracted trading card group as the second purchase needs trend information. The second analysis process to be generated is performed. For example, the decks used in the top decks in the last month's tournament are ranked and the top Y1 cases are extracted. In addition, the top Y2 cases are extracted by ranking the ones that were previously ranked high in the tournament but have become less frequently used.

Next, the analysis unit 321 extracts a trading card group related to the theme from the image master 331 based on the posting history of the website that takes up the trading card as the theme, and the extracted trading card group is the third. The third analysis process generated as purchase needs trend information is performed. For example, those featured on the website are ranked and the top Z1 cases are extracted. As described above, the third analysis process can include a part of the second analysis process, and can be configured to extract the upper Z1a cases introduced in the event information posted on the website. ..

Further, the analysis unit 321 extracts the trading card group that has become a topic on the community site from the image master 331 based on the posting history of the community site including the topic of the trading card, and the extracted trading card group is the first. 4 Perform the fourth analysis process generated as purchase needs trend information. For example, the top Z2 cases are extracted by ranking the ones that are talked about on the community site.

The analysis unit 321 stores the purchase needs trend information in each analysis process in the storage device 330 (S306).

The distribution collation data generation unit 322 extracts the first collation image data group based on the first purchase needs trend information, and extracts the second collation image data group based on the second purchase needs trend information. Further, the third collation image data group is extracted based on the third purchase needs trend information, and the fourth collation image data group is extracted based on the fourth purchase needs trend information (S307). Then, these are added up to generate a collation image data group for distribution collation data, which is stored in the storage device 330 (S308).

The total number of card image data obtained by adding the first collation image data group to the fourth collation image data group shall be a predetermined number α or less that can be collectively expanded to the semiconductor storage device 160 of the store device 100 described above. To be adjusted.

For example, since the predetermined number α is determined according to the storage capacity of the semiconductor storage device 160, each of them is such that the total number of each of X1 to X3, Y1, Y2, and Z1 to Z2 is equal to or less than the predetermined number α. The number of cases extracted in the analysis process can be set arbitrarily. Further, the ratio of each collation image data group extracted based on the purchase needs trend information obtained in each analysis process to the predetermined number α can be arbitrarily set.

For example, the analysis unit 321 can arbitrarily set and adjust the number of each case extracted in each analysis process to a predetermined number α or less, and can control it through screen input or the like. In addition, it is controlled so that the weighting of the purchase needs trend grasped from each analysis process can be set, and each collation image data group corresponding to each purchase needs trend is included at a ratio according to the weighting value set in the predetermined number α or less. It can also be controlled to be.

Although the number of collation image data groups in the present embodiment is a predetermined number α or less, it is possible to control so as to form a collation image data group composed of the same number of data as the predetermined number α. preferable. That is, the preset number of collation image data groups of the predetermined number α includes the same number as or close to the predetermined number α. In addition, the trading cards extracted in each analysis process may be duplicated. In this case, it is also possible to perform an adjustment process of extracting from the image master 331 and compensating for the collation image data that is insufficient for the predetermined number α due to duplication.

Further, in the above description, the total number of each of X1 to X3, Y1, Y2, and Z1 to Z2 is set to be a predetermined number α or less in advance so that the number of collation image data groups is a predetermined number α. I explained an example, but it is not limited to this. For example, the total number of X1 to X3, Y1, Y2, and Z1 to Z2 is set to be larger than the predetermined number α, points are given to each trading card according to a predetermined rule, and extraction is performed by a plurality of analysis processes. Rank the entire trading card that will be played. Then, it is also possible to extract the higher-ranked images corresponding to the ordered predetermined number α as the collation image data group.

The information and analysis results used in the purchase assessment history 334 and the analysis processing of the purchase needs trend can be used as information for determining the purchase price of the trading card and the selling price of the purchased trading card. That is, the transaction information master 332 of the management device 300 is updated at any time. Further, the purchase valuation history 334 used for the analysis process may include the purchase valuation history of other stores or stores in a specific region, and conversely does not include the purchase valuation history of a specific store or a specific region. It can also be configured as follows.

FIG. 6 is a diagram showing a processing flow of the trading card purchase assessment system of the present embodiment. The clerk activates the store device 100 and presses a predetermined purchase assessment start button (S101). The store device 100 transmits a collation data acquisition request to the management device 300 (S102). The management device 300 extracts the distribution collation data 333 from the storage device 330 and transmits it to the store device 100 (S311, S312). The store device 100 receives the distribution collation data 333 from the management device 300, and stores the collation image data and the transaction information included in the received distribution collation data in the storage device 130 (S103).

The store device 100 extracts a collation image data group from the storage device 130, expands the plurality of image data collectively in the semiconductor storage device 160, and causes each of the plurality of collation image data to be cached (S104). ..

The clerk accepts the purchase assessment target card from the customer at the purchase counter. The clerk activates the photographing device 140 and starts photographing. The purchase assessment target card is read in a contactless manner, and purchase target image data is generated (S105). The store device 100 collates with the collation image data group cached in the semiconductor storage device 160 (S106). If the corresponding collation image data is identified as a result of collation (YES in S107), the process proceeds to step S109, transaction information associated with the identified collation image data is extracted, and assessment information is generated (S109). , The generated assessment information is displayed on the assessment information display screen (S110).

On the other hand, when the corresponding collation image data is not specified in step S106 (NO in S107), the management device 300 is inquired about the purchase assessment target card that could not be specified (S108). The store device 100 transmits image data to be purchased to the management device 300, the management device 300 performs a collation process using the image master 331 stored in the storage device 330, and the collation result (transaction information) is obtained by the store device. It is transmitted to 100 (S313).

Steps S105 to S111 are repeated for all the purchase assessment target cards received from the customer, and when the collation process is completed for all the purchase assessment target cards (YES in S111), the process proceeds to step S112 to generate the assessment details information. Display (S112).

Step S113 is a process in which the store clerk directly purchases and assesses the purchase assessment target card and inputs the purchase assessment result without performing the collation process in the store apparatus 100. For example, the purchase control unit 122 displays an individual purchase assessment screen for inputting a card number, a card name, the number of sheets, a purchase price, etc. when an additional button (not shown) is selected from the screen displaying the assessment details information, and the clerk The valuation information can be generated based on the purchase valuation result entered by. The generated assessment information is added to the assessment details information.

The clerk edits the assessment information based on the customer's request to negotiate the purchase price and to stop the partial purchase while communicating with the customer (S114). The store device 100 reflects the editing result in the assessment information and the assessment details information. Then, the store device 100 displays the assessment details information, performs a printing process according to the selection of the print button, and presents it to the customer (S115).

Next, if the purchase is assessed but the customer wants to hold the purchase, the clerk selects the hold button. When the hold button is selected (YES in S116), the store device 100 issues a hold ID and stores the hold history (purchase assessment history) in which the hold ID and the assessment result (assessment information) are linked to the storage device 130. Save (S117). At this time, a receipt or the like including the issued hold ID can be printed and handed over (notified) to the customer. Further, the store device 100 transmits the hold history to the management device 300 (S117). The management device 300 stores the hold history as the purchase assessment history 334 in the storage device 330 (S314).

If the customer does not hold it, the clerk asks the customer whether to accept the purchase or cancel the purchase. In the case of purchase consent (approval of S118), the clerk selects the confirmation button to confirm the purchase of the purchase assessment target card brought in by the customer. When the confirmation button is selected, the store device 100 generates the purchase valuation history 133 based on the valuation information and the valuation detailed information and stores it in the storage device 130 (S120). On the other hand, in the case of cancellation (cancellation of S118), the clerk selects the cancel button and cancels the purchase in the purchased purchase assessment. When the cancel button is selected, the store device 100 generates a purchase valuation history 133 including valuation information and valuation detailed information of the executed purchase valuation, and stores it in the storage device 130 (S119).

The purchase assessment history generated in the cancellation process in step S119 and the purchase confirmation process in step S120 is transmitted to the management device 300. The management device 300 stores the purchase assessment history received from the store device 100 in the storage device 330.

FIG. 7 is a diagram showing a processing flow using the hold history of the present embodiment. The customer can subsequently accept or cancel the purchase for the completed purchase assessment that has withheld the purchase. The customer informs the clerk of the notified hold ID at the purchase counter. The clerk inputs the hold ID into the store device 100 (S131). For example, the purchase control unit 122 receives the hold ID from a predetermined screen, and transmits a request for acquiring the purchase assessment history associated with the entered hold ID to the management device 300 (S132).

The purchase valuation history management unit 324 of the management device 300 searches the purchase valuation history 334 using the received hold ID as a key, extracts the corresponding purchase valuation history (hold history) (S321), and sends it to the store device 100. (S322).

The store device 100 receives the purchase valuation history associated with the requested hold ID (S133), and displays or prints the valuation details list (S134). Since the subsequent processing is the same as the processing shown in FIG. 6, the same reference numerals are given and the description thereof will be omitted. When holding again, the same holding ID can be used without issuing another holding ID. In addition, when accepting or canceling the purchase, it is possible to generate a purchase assessment history excluding the hold ID.

Although the present embodiment has been described above, each function constituting the above-mentioned trading card purchase assessment system can be realized by a program, and a computer program prepared in advance for realizing each function is stored in the auxiliary storage device. Then, a control unit such as a CPU reads a program stored in the auxiliary storage device into the main storage device, and the control unit executes the program read into the main storage device to operate the functions of each unit. can.

Further, the above program can be provided to a computer in a state of being recorded on a computer-readable recording medium. Computer-readable recording media include optical discs such as CD-ROMs, phase-changing optical discs such as DVD-ROMs, magneto-optical disks such as MO (Magnet Optical) and MD (Mini Disk), floppy disk (registered trademark) disks, and the like. Examples include magnetic disks such as removable hard disks, compact flash (registered trademark), smart media, SD memory cards, and memory cards such as memory sticks. Further, a hardware device such as an integrated circuit (IC chip or the like) specially designed and configured for the purpose of the present invention is also included as a recording medium.

100 Store device 110 Communication device 120 Control device 121 Data acquisition unit 122 Purchase control unit 123 Imaging control unit 124 Collation control unit 125 Print control unit 130 Storage device (auxiliary storage device)
131 Collation image data 132 Transaction information 133 Purchase assessment history 140 Imaging device 150 Display / operation input unit 160 Semiconductor storage device 200 Printing device 300 Management device 310 Communication device 320 Control device 321 Analysis unit 322 Distribution collation data generation unit 323 Collation data Distribution control unit 324 Purchase assessment history management unit 325 Information management unit 330 Storage device 331 Image master 332 Transaction information master 333 Distribution verification data 334 Purchase assessment history 335 Purchase needs trend information

Claims (11)

A management device that manages the matching image data of the trading card and the transaction information including the purchase price, and a store device that stores the matching image data and the transaction information and performs the purchase assessment processing of the brought-in purchase assessment target card. It is a trading card purchase assessment system that has
The store device is
The shooting department that shoots the card subject to purchase assessment,
Semiconductor storage unit and
A data expansion unit that collectively expands a plurality of the collation image data distributed from the management device into the semiconductor storage unit and caches each collation image data.
A collation control unit that compares the photographed image data to be purchased with the plurality of cached image data for collation and identifies the image data for collation that matches the image data to be purchased.
A purchase control unit that extracts the transaction information associated with the specified collation image data is provided.
The management device is
Stores an image master data group of a trading card including a plurality of collation image data delivered to the store device, and a transaction information master including the purchase price associated with each data of the image master data group. With the memory
Based on at least one of the history of purchase assessments at the store equipment, the history of event information about trading cards, the posting history of websites that feature trading cards, and the posting history of community sites that include trading card topics. An analysis department that generates trend information on the purchase needs of trading cards brought into stores,
A distribution collation data generation unit that extracts a predetermined number of preset collation image data groups that can be collectively expanded in the semiconductor storage unit of the store device from the image master data based on the purchase needs trend information. When,
And extracted the verification image data group, the transaction information collating data distribution control section for delivery verification data including the transaction information tied to the verification image data group to be extracted from the master delivery to the store device When,
A trading card purchase assessment system characterized by being equipped with. Based on the history of purchase valuation in the store device, the analysis unit has a predetermined order or higher in the order in which the number of requests for purchase valuation is a predetermined value or more from the image master data, or the number of requests for purchase valuation is large. The trading card purchase assessment system according to claim 1, wherein the trading cards of the above are extracted and the extracted trading cards are generated as the purchase needs trend information. Based on the history of purchase valuation in the store device, the analysis unit has a trading card in which the rate of change in the number of requests for purchase valuation is a predetermined value or more from the image master data, or the rate of change in the purchase price is a predetermined value. The trading card purchase assessment system according to claim 1 or 2, wherein the above trading cards are extracted and the extracted trading cards are generated as the purchase needs trend information. The analysis unit extracts trading cards used or introduced at the event from the image master data based on the history of event information related to the trading cards, and generates the extracted trading cards as the purchase needs trend information. The trading card purchase assessment system according to any one of claims 1 to 3, characterized in that. The analysis unit extracts trading cards related to the theme from the image master data based on the posting history of the website that takes up the trading card as the theme, and uses the extracted trading cards as the purchase needs trend information. The trading card purchase assessment system according to any one of claims 1 to 4, wherein the trading card is generated. The analysis unit extracts the trading cards that have become a hot topic on the community site from the image master data based on the posting history of the community site including the topic of the trading card, and the extracted trading cards are used as the purchase needs trend. The trading card purchase assessment system according to any one of claims 1 to 5, characterized in that it is generated as information. The analysis unit
Based on the history of purchase valuation at the store device, trading card groups with a predetermined number of purchase valuation requests or more or trading card groups with a predetermined order or higher in descending order of the number of purchase valuation requests from the image master data are selected. The first analysis process that extracts and generates the extracted trading card group as the first purchase needs trend information,
Based on the history of event information related to trading cards, the trading card group used or introduced at the event is extracted from the image master data, and the extracted trading card group is generated as the second purchase needs trend information. Analysis processing and
Based on the posting history of the website that takes up the trading card as the theme, the trading card group related to the theme is extracted from the image master data, and the extracted trading card group is generated as the third purchase needs trend information. Third analysis process and
Based on the posting history of the community site including the topic of trading cards, the trading card group that became a topic on the community site is extracted from the image master data, and the extracted trading card group is used as the fourth purchase needs trend information. Perform the 4th analysis process to be generated,
The distribution collation data generation unit is a first collation image data group extracted based on the first purchase needs trend information, and a second collation image data group extracted based on the second purchase needs trend information. , The third collation image data group extracted based on the third purchase needs trend information, and the fourth collation image data group extracted based on the fourth purchase needs trend information are added together and distributed. The trading card purchase assessment system according to claim 1, wherein the collation image data group for collation data is generated. A purchase valuation process is performed to collate the purchased image data obtained by photographing the brought-in purchase valuation target card with the collation image data cached in the semiconductor storage unit and extract the transaction information associated with the specified collation image data. A management device that is connected to the store device to perform and manages the matching image data of the trading card used for the purchase assessment process and the transaction information including the purchase price.
Stores an image master data group of a trading card including a plurality of collation image data delivered to the store device, and a transaction information master including the purchase price associated with each data of the image master data group. With the memory
Based on at least one of the history of purchase assessments at the store equipment, the history of event information about trading cards, the posting history of websites that feature trading cards, and the posting history of community sites that include trading card topics. An analysis department that generates trend information on the purchase needs of trading cards brought into stores,
A distribution collation data generation unit that extracts a predetermined number of preset collation image data groups that can be collectively expanded in the semiconductor storage unit of the store device from the image master data based on the purchase needs trend information. When,
And extracted the verification image data group, the transaction information collating data distribution control section for delivery verification data including the transaction information tied to the verification image data group to be extracted from the master delivery to the store device When,
A management device characterized by being provided with. A purchase valuation process is performed to collate the purchased image data obtained by photographing the brought-in purchase valuation target card with the collation image data cached in the semiconductor storage unit and extract the transaction information associated with the specified collation image data. It is a program executed by a management device that is connected to the store device and manages the matching image data of the trading card used for the purchase assessment process and the transaction information including the purchase price.
The management device includes a transaction including an image master data group of a trading card including a plurality of collation image data delivered to the store device as a part, and a purchase price associated with each data of the image master data group. Equipped with a storage unit that stores the information master
Based on at least one of the history of purchase assessments at the store equipment, the history of event information about trading cards, the posting history of websites that feature trading cards, and the posting history of community sites that include trading card topics. The first function to generate trading card purchase needs trend information brought into the store,
A second function of extracting a predetermined number of preset collation image data groups that can be collectively expanded in the semiconductor storage unit of the store device from the image master data based on the purchase needs trend information.
And extracted the verification image data group, and a third function of delivering distribution verification data including the strap attached the transaction information to the verification image data group to be extracted from the transaction information master to the shop device,
A program to realize. It is a store device that is connected to a management device that manages transaction information including trading card collation image data and transaction information, and performs purchase assessment processing of the cards brought in for purchase assessment.
The shooting department that shoots the card subject to purchase assessment,
Semiconductor storage unit and
Posting of the collation image data distributed from the management device, which is the history of purchase assessment at the store device, the history of event information about the trading card, and the website that takes up the trading card as the theme in the management device. A preset number of collation image data groups that can be collectively expanded in the semiconductor storage unit, selected based on at least one of the posting history of the community site including the history and the topic of the trading card, are collectively collected. A data expansion unit that expands to the semiconductor storage unit and caches each collation image data.
A collation control unit that compares the photographed image data to be purchased with the plurality of cached image data for collation and identifies the image data for collation that matches the image data to be purchased.
A purchase control unit that extracts the transaction information associated with the specified collation image data, and
A store device characterized by being equipped with. It is a program executed by a store device that is connected to a management device that manages trading card verification image data and transaction information including purchase prices, and performs purchase assessment processing of the cards brought in for purchase assessment.
The first function of shooting the purchase assessment target card via the shooting device, and
Posting of the collation image data distributed from the management device, which is the history of purchase assessment at the store device, the history of event information about the trading card, and the website that takes up the trading card as the theme in the management device. A preset number of collating image data groups that can be collectively deployed in the semiconductor storage unit of the store device , selected based on at least one of the posting history of the community site including the history and the topic of the trading card. The second function, which collectively expands the image data for collation into the semiconductor storage unit and caches each collation image data.
A third function of comparing the captured image data to be purchased with the plurality of cached image data for collation and identifying the image data for collation that matches the image data to be purchased.
The fourth function of extracting the transaction information associated with the specified collation image data, and
A program to realize.

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