JP2012048542A - Information management system, method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve reliability of data aggregated based on regions.SOLUTION: When it is determined that a face image does not coincide with any of accumulated face images, an analysis section 103 analyzes the face image of a collated person and extracts a piece of feature information of the collated person. A positional information acquisition section 106 acquires own positional information. A transmission section 105 transmits an analysis result including the piece of feature information, the face image, the positional information, and a shop name being associated to each other as marketing data to a third-party game shop management center 4. A telegram message analysis section 152 determines whether the positional data corresponding to the shop name included in the marketing data transmitted from a bio-information recognition device 21 coincides with positional information which is previously registered as being associated with each other in a management database 156. When it is determined that the positional information coincides with the shop name, a registration section 153 causes the received marketing data to be stored as a unit in a third-party game shop management DB 5. The invention is applicable to a marketing data management system.

Description

  The present invention relates to an information management system, method, and program, and in particular, information management that enables data to be accurately and accurately aggregated for each region and position when accumulating human data by authentication processing using facial images. The present invention relates to a system, a method, and a program.

  Currently, in many stores and public facilities, information on an unspecified number of customers or visitors is captured as an image, and the facial image of the person in the captured image is analyzed to determine the tendency of the customers or visitors Has been proposed as a marketing information and sales support system (see Patent Document 1).

JP 2008-284077 A

  However, in the above-described system, a plurality of cameras installed at the entrance and exit, at least one information processing device at each store, and further acquiring the location information of each store and sending it to a device that aggregates all data of each store along with marketing data One wireless router is configured. In the case of such a configuration, it is conceivable that the installation location of the information processing device and the wireless router is changed (moved between chain stores) on the store side and operated.

  As a result, since the location information acquired by the wireless router changes with the relocation of the wireless router, there is a possibility that the marketing data for each region cannot be collected accurately.

  The present invention has been made in view of such a situation. In a system that collects data by associating a face image with its position information and uses it as marketing data, even if the installation position of the wireless router is moved. , Improve the reliability of marketing data aggregated by region by making it possible to obtain location information accurately and making the collected marketing data accurate with the location information. .

  In the information management system according to one aspect of the present invention, the management device collects data from a plurality of information processing devices and manages the data as total information, and distributes the total information to the plurality of information processing devices, and An information management system comprising a plurality of information processing devices, wherein the information processing device acquires a face image of a person to be collated from an accumulation means for accumulating a face image as an accumulator face image in an accumulator database. And calculating the similarity between the face image of the person to be collated acquired by the acquisition means and the face image of the accumulator stored in the storage means, and comparing the similarity with a predetermined threshold value. A collation unit that determines whether the face image of the person to be collated is the face image of the accumulator; and the collation unit determines that the face image of the person to be collated is not the face image of the accumulator Analysis means for analyzing the face image of the person to be collated, extracting characteristic information of the person to be collated, position information obtaining means for obtaining a plurality of types of position information of the person, and Data transmission means for associating characteristic information which is an analysis result, face image of the person to be collated, plural types of position information, and identification information for identifying itself, and transmitting the data as data to the management device, The management device stores a data reception unit that receives data transmitted from the information processing device, and a management database in which the identification information included in the data and the plurality of types of position information are registered in advance in association with each other. And a plurality of types registered in the management database based on identification information included in the data received by the data receiving means. If the position information is determined to match the plurality of types of position information included in the data, and the data receiving means And summing means for summing and storing the received data in the total information.

  The information processing apparatus acquires request information transmitting means for transmitting a total information request for requesting total information for which data has been totaled to the management apparatus, and total information transmitted in response to the request information. And further includes a request information acquisition unit that acquires request information of the total information transmitted from the information processing device, and the totalization based on the request information. Aggregated information transmitting means for transmitting information to the information processing apparatus can be included.

  The plurality of types of position information acquired by the position information acquisition means may include information on base stations that can communicate with a mobile communication network and GPS information.

  Based on the identification information included in the data received by the data receiving unit, the determination unit searches a plurality of types of position information registered in the management database, and a plurality of types included in the data In the case of determining whether or not it matches the position information of the plurality of types, when all of the plurality of types of position information match, one of them matches, or only one of them matches, a plurality of types included in the data It can be determined that it matches the position information.

  An information management method for an information management system according to an aspect of the present invention is a management device that collects data from a plurality of information processing devices and manages the data as total information, and distributes the total information to the plurality of information processing devices, And an information management system comprising the plurality of information processing devices, wherein the information processing device stores a face image as a face image of an accumulator in an accumulator database; An acquisition means for acquiring an image, a similarity between the face image of the person to be collated acquired by the acquisition means and the face image of the accumulator stored in the storage means is calculated, and the similarity and a predetermined threshold value are calculated. The comparison means for determining whether the face image of the person to be collated is the face image of the accumulator by comparison, and the face image of the person to be collated is not the face image of the accumulator by the collation means If determined, analysis means for analyzing the face image of the person to be collated and extracting characteristic information of the person to be collated, position information obtaining means for obtaining a plurality of types of position information of the person, and the analyzing means Data transmission means for associating the characteristic information that is the analysis result, the face image of the person to be collated, a plurality of types of position information, and identification information for identifying itself, and transmitting the data as data to the management device, The management device includes a data reception unit that receives data transmitted from the information processing device, and a management database in which the identification information included in the data and the plurality of types of position information are registered in association with each other. Based on the identification information included in the management database storage means for storing and the data received by the data receiving means, a plurality of data registered in the management database are stored. If it is determined that the position information of a plurality of types is matched with a plurality of types of position information included in the data, and the determination unit determines that they match, the data reception An information management method for an information management system, comprising: summing means for summing and storing data received by the means for storing, wherein the information management method for the information processing apparatus is collated from the image in the acquisition means. The degree of similarity between the acquisition step of acquiring the face image of the target person, the face image of the verification target person acquired by the processing of the acquisition step in the verification means, and the face image of the storage person stored in the storage means A collation step of determining whether or not the face image of the person to be collated is the face image of the accumulator by comparing the degree of similarity with a predetermined threshold; and An analysis step of analyzing the face image of the person to be collated and extracting the feature information of the person to be collated when the face image of the person to be collated is determined not to be the face image of the accumulator by the process of the matching step And a position information acquisition step of acquiring a plurality of types of position information of itself in the position information acquisition means, feature information that is an analysis result in the processing of the analysis step in the data transmission means, and the person to be collated A data transmission step of associating the face image, the plurality of types of position information, and identification information for identifying the face image as data to the management device, and the information management method of the management device includes the data reception A data receiving step for receiving data transmitted from the information processing apparatus, and a data receiving step in the determining means. Whether or not a plurality of types of position information registered in the management database are searched based on the identification information included in the data received by the processing, and whether or not they match the plurality of types of position information included in the data And a summing step for summing and storing the data received in the data receiving step processing in the summation information when it is considered that the summing means matches the processing in the judgment step. Including.

  The program according to one aspect of the present invention collects data from a plurality of information processing devices and manages the data as total information, and also manages the total information to the plurality of information processing devices, and the plurality of information An information management system comprising a processing device, wherein the information processing device stores a face image as an accumulator's face image in an accumulator database, and an acquisition means for acquiring a face image of a collation target person from the image And calculating the similarity between the face image of the person to be collated acquired by the obtaining unit and the face image of the accumulator accumulated in the accumulating unit, and comparing the degree of similarity with a predetermined threshold value. A collation unit that determines whether or not the face image of the subject person is the face image of the accumulator, and when the collation unit determines that the face image of the person to be collated is not the face image of the accumulator, in front Analyzing means for analyzing a face image of a person to be collated and extracting characteristic information of the person to be collated, position information obtaining means for obtaining a plurality of types of position information of the person to be collated, and a characteristic result of analysis by the analyzing means Data transmitting means for associating information, the face image of the person to be collated, a plurality of types of position information, and identification information for identifying itself, and transmitting the data as data to the management apparatus, Data receiving means for receiving data transmitted from the information processing apparatus, and management database storage means for storing a management database in which the identification information included in the data and the plurality of types of position information are registered in advance in association with each other And based on identification information included in the data received by the data receiving means, a plurality of types of position information registered in the management database. And determining means for determining whether or not the information matches a plurality of types of position information included in the data, and data received by the data receiving means when the determination means determines that the information matches. Among the computers that control the information management system including the summing means for adding and storing the totaled information, the computer that controls the information processing apparatus obtains the face image of the person to be collated from the image in the obtaining means. Calculating the similarity between the face image of the person to be collated acquired by the process of the obtaining step in the collating unit and the face image of the accumulator stored in the accumulating unit, A collating step for determining whether or not the face image of the person to be collated is the face image of the accumulator by comparison with a predetermined threshold; and the collating step in the analyzing means. Analyzing step of analyzing the face image of the person to be collated and extracting feature information of the person to be collated when it is determined that the face image of the person to be collated is not the face image of the accumulator And a position information acquisition step of acquiring a plurality of types of position information of itself in the position information acquisition means, feature information that is an analysis result in the processing of the analysis step in the data transmission means, and the person to be collated A computer that controls the management apparatus by executing a process including a data transmission step of associating the facial image, the plurality of types of position information, and identification information for identifying the face image and transmitting the data as data to the management apparatus A data receiving step for receiving data transmitted from the information processing device in the data receiving means; and the data in the determining means. Based on the identification information included in the data received by the processing of the reception step, the plurality of types of position information registered in the management database are searched and matched with the plurality of types of position information included in the data. If it is determined that the determination step and the summing means match in the determination step processing, the data received in the data reception step processing is added to the total information and stored. And a process including a summing step.

  In one aspect of the present invention, data is collected from a plurality of information processing devices and managed as total information, and the management device distributes the total information to the plurality of information processing devices, and the plurality of information processing An information management system comprising: a device, wherein the information processing device accumulates a face image as an accumulator face image in an accumulator database, obtains a face image of a collation target person from the image, and obtains a collation target The similarity between the person's face image and the accumulated person's face image is calculated, and whether the face image of the person to be collated is the person's face image by comparing the degree of similarity with a predetermined threshold If it is determined that the face image of the person to be collated is not the face image of the accumulator, the face image of the person to be collated is analyzed, and the feature information of the person to be collated is extracted, Own multiple The position information of the type is acquired, and the characteristic information as the analysis result, the face image of the person to be collated, the plurality of types of position information, and the identification information for identifying itself are associated and transmitted as data to the management apparatus The management apparatus receives data transmitted from the information processing apparatus, and stores a management database in which the identification information included in the data and the plurality of types of position information are registered in advance in association with each other. Based on the identification information included in the received data, a plurality of types of position information registered in the management database are searched, and whether or not they match the plurality of types of position information included in the data And a summing means for summing and storing the received data in the aggregated information when it is determined to be matched.

  In the information management system of one aspect of the present invention, the management device that collects data from a plurality of information processing devices and manages it as total information, and distributes the total information to the plurality of information processing devices, for example, A third-party amusement store management center, wherein the plurality of information processing devices are biometric information recognition devices for each amusement store, and the facial images in the information processing device are stored in the aggregator database as the accumulator face images. For example, the storage means is a biometric information database, and the acquisition means for acquiring the face image of the person to be verified from the image is, for example, a face image acquisition unit. The similarity between the facial image and the accumulator face image accumulated in the accumulating means is calculated, and the face image of the person to be collated is compared with the predetermined threshold by comparing the similarity with a predetermined threshold value. The collation means for determining whether or not is, for example, a collation unit, and when the collation means determines that the face image of the person to be collated is not the face image of the accumulator, the person to be collated The analysis means for analyzing the face image and extracting the feature information of the person to be collated is, for example, an analysis unit, and the position information acquisition means for acquiring a plurality of types of position information is, for example, a position An information acquisition unit that associates feature information that is an analysis result of the analysis unit, the face image of the person to be collated, a plurality of types of position information, and identification information for identifying itself, as data in the management apparatus The data transmitting means to transmit is, for example, a transmitting section, and the data receiving means to receive data transmitted from the information processing apparatus in the management apparatus is, for example, a receiving section, and is included in the data. The management database storage means for storing the management database in which the identification information and the plurality of types of position information are registered in advance in association with each other is, for example, a management database and included in the data received by the data receiving means A plurality of types of position information registered in the management database based on the identification information to be determined, and determining means for determining whether or not the plurality of types of position information included in the data match. For example, a message analysis unit, and when the determination unit determines that the data match, the summation unit that adds and stores the data received by the data reception unit in the aggregate information is, for example, a registration unit Yes, the total information is, for example, a third-party game store management database.

  As a result, in the third-party amusement store management database, only the data including the pre-registered store name and the corresponding location information is added, so the wireless router is moved between stores and used. Even if this happens, only the data at the registered location can be stored in the third-party amusement store management database, so the information in the third-party amusement store management database is associated with the location information. By analyzing, for example, marketing information for each region can be acquired accurately and reliably. In addition, for recognizing position information, for example, base information of a mobile phone base station and GPS information are used as a plurality of types of position information. By using information and base information that is low in position accuracy but can be almost acquired, if necessary, if both position information matches, or if either position information matches, It becomes possible to add them as data, and it is possible to control the accuracy of the position information by controlling the position accuracy and the acquisition probability.

  According to the present invention, it is possible to improve the reliability of data aggregated for each region by improving the positional accuracy of acquired data.

It is a figure which shows the structure of one Embodiment of the marketing data management system to which this invention is applied. It is a figure explaining the structural example of the marketing data management system of FIG. It is a flowchart explaining the marketing data management process by the marketing data management system of FIG. It is a flowchart explaining the marketing data management process by the marketing data management system of FIG. It is a flowchart explaining the registration process by the 3rd party amusement shop management center of FIG. It is a flowchart explaining the positional information transmission process by the biometric information recognition apparatus of FIG. It is a flowchart explaining the base information acquisition process by the biometric information recognition apparatus of FIG. It is a flowchart explaining the data check process by the 3rd party game store management center of FIG. It is a flowchart explaining the process according to the received message | telegram by the 3rd party store management center of FIG. It is a figure explaining the structure of the management database registered into the 3rd party game store management center of FIG. It is a figure explaining the positional information based on the base information of the management database registered into the 3rd party game store management center of FIG. It is a flowchart explaining the camera image generation process by the biometric information recognition apparatus of FIG. It is a flowchart explaining the marketing data creation process by the biometric information recognition apparatus of FIG. It is a figure explaining the marketing data creation log | history by the biometric information recognition apparatus of FIG. It is a flowchart explaining the marketing data transmission process by the biometric information recognition apparatus of FIG. It is a flowchart explaining the marketing data acquisition request transmission process by the biometric information recognition apparatus of FIG. It is a figure explaining the example of the marketing data transmitted based on a marketing data acquisition request. It is a figure explaining the other structural example of the marketing data management system of FIG. It is a flowchart explaining the registration process by the 3rd party store management center of FIG. It is a flowchart explaining the positional information transmission process by the biometric information recognition apparatus of FIG. It is a flowchart explaining the GPS information acquisition process by the biometric information recognition apparatus of FIG. It is a flowchart explaining the data check process by the 3rd party game store management center of FIG. It is a flowchart explaining the process according to the received message | telegram by the 3rd party store management center of FIG. It is a figure explaining the structure of the management database registered into the 3rd party game store management center of FIG. It is a figure explaining the structural example of the district name registered into the management database of the 3rd party game store management center of FIG. And FIG. 11 is a diagram illustrating a configuration example of a general-purpose personal computer.

  Embodiments of the present invention will be described below. Correspondences between the configuration requirements of the present invention and the embodiments described in the detailed description of the present invention are exemplified as follows. This description is to confirm that the embodiments supporting the present invention are described in the detailed description of the invention. Accordingly, although there are embodiments that are described in the detailed description of the invention but are not described here as embodiments corresponding to the constituent elements of the present invention, It does not mean that the embodiment does not correspond to the configuration requirements. Conversely, even if an embodiment is described here as corresponding to a configuration requirement, that means that the embodiment does not correspond to a configuration requirement other than the configuration requirement. It's not something to do.

  That is, in the information management system according to one aspect of the present invention, data is collected from a plurality of information processing apparatuses and managed as total information, and the management apparatus (for example, the total information is distributed to the plurality of information processing apparatuses) , A third-party amusement store management center 4 in FIG. 18, and the plurality of information processing devices (for example, the biological information recognition device 21 in the amusement store 1 in FIG. 18), wherein the information The processing device includes a storage unit (for example, the biometric information DB 22 in FIG. 18) that stores the face image as the face image of the store in the store database, and an acquisition unit (for example, FIG. 18 face image acquisition unit 101), the similarity between the face image of the person to be collated acquired by the acquisition means and the face image of the person stored in the storage means is calculated, A collation unit (for example, collation unit 102 in FIG. 18) for determining whether or not the face image of the person to be collated is the face image of the accumulator by comparison with a predetermined threshold; When it is determined that the face image of the target person is not the face image of the accumulator, the analysis unit (for example, the analysis of FIG. 18) analyzes the face image of the target person and extracts feature information of the target person Section 103), position information acquisition means (for example, position information acquisition section 201 in FIG. 18) for acquiring a plurality of types of position information, feature information that is an analysis result of the analysis means, A data transmission means (for example, the transmission unit 105 in FIG. 18) that associates a face image, a plurality of types of position information, and identification information for identifying itself, and transmits the data as data to the management device; Is the information processing Data receiving means (for example, receiving unit 221 in FIG. 18) that receives data transmitted from the physical device, the identification information included in the data, and the plurality of types of position information are registered in association with each other in advance. Management database storage means (for example, management database 224 in FIG. 18) for storing the management database, and a plurality of types registered in the management database based on identification information included in the data received by the data receiving means Is determined by the determination unit (for example, the electronic message analysis unit 222 in FIG. 18) and the determination unit determines whether the position information matches a plurality of types of position information included in the data. In the case where it is considered that the data received by the data receiving means is added to the total information, the summing means (for example, the registration unit 2 in FIG. 18) 3) a.

  The information processing apparatus includes request information transmission means (for example, the transmission unit 105 in FIG. 18) for transmitting a total information request for requesting total information for which data has been totaled to the management apparatus, and the request information. And a total information acquisition means (for example, reception means 109 in FIG. 18) for acquiring the total information transmitted in response to the total information transmitted from the information processing apparatus. Request information acquisition means for acquiring request information (for example, the receiving unit 221 in FIG. 18) and total information transmission means for transmitting the total information to the information processing apparatus based on the request information (for example, transmission in FIG. 18) Part 155).

  An information management method for an information management system according to an aspect of the present invention is a management device that collects data from a plurality of information processing devices and manages the data as total information, and distributes the total information to the plurality of information processing devices, And an information management system comprising the plurality of information processing devices, wherein the information processing device stores a face image as a face image of an accumulator in an accumulator database; An acquisition means for acquiring an image, a similarity between the face image of the person to be collated acquired by the acquisition means and the face image of the accumulator stored in the storage means is calculated, and the similarity and a predetermined threshold value are calculated. The comparison means for determining whether the face image of the person to be collated is the face image of the accumulator by comparison, and the face image of the person to be collated is not the face image of the accumulator by the collation means If determined, analysis means for analyzing the face image of the person to be collated and extracting characteristic information of the person to be collated, position information obtaining means for obtaining a plurality of types of position information of the person, and the analyzing means Data transmission means for associating the characteristic information that is the analysis result, the face image of the person to be collated, a plurality of types of position information, and identification information for identifying itself, and transmitting the data as data to the management device, The management device includes a data reception unit that receives data transmitted from the information processing device, and a management database in which the identification information included in the data and the plurality of types of position information are registered in association with each other. Based on the identification information included in the management database storage means for storing and the data received by the data receiving means, a plurality of data registered in the management database are stored. If it is determined that the position information of a plurality of types is matched with a plurality of types of position information included in the data, and the determination unit determines that they match, the data reception An information management method for an information management system, comprising: summing means for summing and storing data received by the means for storing, wherein the information management method for the information processing apparatus is collated from the image in the acquisition means. An acquisition step (for example, step S163 in FIG. 12) for acquiring the face image of the target person, the face image of the verification target person acquired by the processing of the acquisition step in the verification means, and the storage means A collation step for calculating a similarity with the face image of the accumulator and determining whether the face image of the person to be collated is the face image of the accumulator by comparing the similarity with a predetermined threshold value. (For example, step S167 in FIG. 12), and when the collating step in the analyzing means determines that the face image of the person to be collated is not the face image of the accumulator, An analysis step (for example, step S169 in FIG. 12) for extracting the feature information of the person to be collated, and position information for acquiring a plurality of types of position information of itself in the position information acquisition means An acquisition step (for example, step S201 in FIG. 15), feature information which is an analysis result in the processing of the analysis step in the data transmission means, the face image of the person to be collated, a plurality of types of position information, and self A data transmission step (for example, step S206 in FIG. 15) for transmitting identification data for identification to the management apparatus as data. The information management method of the management device includes a data reception step (for example, step S391 in FIG. 23) for receiving data transmitted from the information processing device in the data reception unit, and the data in the determination unit. Based on the identification information included in the data received by the processing of the reception step, the plurality of types of position information registered in the management database are searched and matched with the plurality of types of position information included in the data. If the determination step (for example, steps S394, S396, S398, and S399 in FIG. 23) is determined to be the same as the determination step in the summing unit, the data reception step The summation step (for example, FIG. Including the step S403) and of.

<First embodiment>
[Example of monitoring system configuration]
FIG. 1 is a diagram showing a configuration of an embodiment of a game store marketing data management system according to the present invention.

  The marketing data management system in FIG. 1 acquires information on the visitors of each amusement store 1 as a face image, analyzes the face image, estimates gender or age, generates marketing data, The game store management center 4 stores the facial image marketing data acquired at each game store 1 in a third-party game store management database (DB) 5, and in response to a request from each game store 1, By transmitting the accumulated results of the marketing data for each area of the amusement store 1, the sales strategy according to the area in each amusement store 1 is supported.

  The game stores 1-1 to 1-n are so-called pachinko stores, pachislot stores, or casino stores. These game stores 1-1 to 1-n are affiliated stores or member stores of a third-party game store management center, and are stores that need to manage a plurality of stores in an integrated manner. The amusement stores 1-1 to 1-n are connected by a third-party amusement store management bus 7. Each of the amusement stores 1-1 to 1-n is connected to each other via a public communication line network 9 represented by the bus and the Internet. Company store management information. In the following description, when there is no particular need to distinguish each of the game stores 1-1 to 1-n, the game store 1 is simply referred to, and the other configurations are also referred to in the same manner.

  The third-party amusement store management bus 7 functions as a transmission path for distributing medium lending management information mainly managed by the medium lending management device 27 of each amusement store 1.

  The third-party amusement store management center 4 is a server used by a business operator that manages and manages the third-party amusement store management center. From the marketing data managed in the third-party amusement store management database (DB) 5 In addition to updating the DB based on the marketing data supplied from each amusement store 1, only the marketing data for each region to which the amusement store belongs is distributed to each amusement store 1 among the updated latest marketing data. To do.

  The biometric information recognition apparatus 21 includes image processing units 39-1 to 39 based on images captured by the cameras 38-1 to 38-m, the entrance cameras 40-1 to 40-p, and the in-store cameras 41-1 to 41-q. Based on the face image information extracted by − (m + p + q) and supplied via the biometric information bus 31, the face image registered in advance in the biometric information database 22 is collated. The store visitor's visit is notified to the portable terminal 20 or displayed on the display unit 23 made up of an LCD (Liquid Crystal Display) or an organic EL (Electronic Luminescent). In addition, when the face image registered in the biometric information database 22 is collated and does not match, the biometric information recognition device 21 registers the biometric information DB 22 and analyzes the face image, and the third party game together with the analysis result. Supply to the store management center 4.

  The game store management device 24 is a so-called hall computer, and monitors the operations of the game machines 36-1 to 36-m via the game store management information bus 30. The game store management device 24 determines a predetermined amount according to the monitoring status such as information on the payout of the game table 36 or the payout of medals, the call information of the players on the game tables 36-1 to 36-m, or the occurrence of an error. The above process is executed, and the execution result is displayed on the display unit 25 formed of an LCD, an organic EL, or the like. The game store management device 24 identifies information supplied from the counter 35, the game machines 36-1 to 36-m, and the game machine peripheral terminals 37-1 to 37-m, respectively. For example, it is managed by the gaming machine management database 26 in association with the gaming machine number.

  The medium lending management device 27 manages the medium lending management information of the rented game media using the medium lending management database 29 based on the information from the payment machine 33 and the lending machine 34, and also the medium lending management database. When the medium lending management information registered in 29 is updated, the updated information is sent to the third party amusement store management center 4 via the third party amusement store management bus 7 and the public communication line network 9. Further, the medium lending management device 27 acquires the medium lending management information supplied by the third party amusement store management center 4 via the third party amusement store management bus 7 and the public communication line network 9, and manages the medium lending management. Store in the database 29.

  The lending machine 34 lends a number of game media according to the amount when the player accepts a predetermined amount by cash or a prepaid card when playing on the gaming table 36. At this time, the lending machine 34 supplies information on the number of lent gaming media to the medium lending management device 27 together with information such as the accepted cash and the remaining number of prepaid cards. Thereby, the medium lending management device 27 registers information on the number of lent gaming media in the medium lending management information database 29 together with information such as the received cash and the remaining number of prepaid cards.

  The checkout machine 33 sells prepaid cards with a frequency for borrowing a ball. At this time, the checkout machine 33 supplies the medium lending management device 27 with the amount paid for the frequency of the prepaid card sold. Further, the settlement vending machine 33 settles and pays out cash based on the remaining number of game media lent as a frequency such as a prepaid card. At this time, the checkout machine 33 supplies the remaining number of prepaid cards and the amount of cash refunded to the medium lending management device 27.

  The counter 35 counts the number of game media acquired by the player playing on the game table 36, and outputs the counting result as a magnetic card or a receipt.

  The game machines 36-1 to 36-m execute a game when a predetermined operation is performed by the player, and pay out a game ball or a medal according to a so-called small hit or big hit.

  The game console peripheral terminals 37-1 to 37-m are so-called pedestrian machines provided corresponding to the respective game machines 36-1 to 36-m. The same as the lending machine 34) is provided. Further, the gaming machine peripheral terminal 37 acquires biological information such as a face image of the player who plays the gaming machine 36 and transmits it to the biological information recognition device 21 together with the gaming machine identification information (game machine number). FIG. 1 shows an example in which cameras 38-1 to 38-m that acquire a player's face image are provided as a function of acquiring biometric information.

[Configuration example of biological information recognition apparatus and third-party amusement shop management center]
Next, with reference to FIG. 2, the structural example of a biometric information recognition apparatus and a 3rd party game store management center is demonstrated.

  The biometric information recognition device 21 includes a face image acquisition unit 101, a collation unit 102, an analysis unit 103, a marketing data DB 104, a transmission unit 105, a position information acquisition unit 106, a position information memory 107, an operation unit 108, and a reception unit 109. ing. The biometric information recognition device 21 receives a face image extracted by the image processing unit 39 from an image captured by the camera 38. More specifically, the image processing unit 39 acquires an image captured by the camera 38 (or the entrance camera 40 or the in-store camera 41), and from the pattern such as the arrangement of parts constituting the face in the acquired image. A rectangular image composed of face images is extracted by template matching using a reference template corresponding to the contour of the entire face, and supplied to the biological information recognition apparatus 21.

  The face image acquisition unit 101 acquires the face image supplied from the image processing unit 39 and supplies it to the collation unit 102. The collation unit 102 extracts feature points constituting each organ from the regions constituting the face image acquired by the face image acquisition unit 101 as face organs. Here, the feature points that make up the facial organs are pixels at particularly characteristic positions among the pixels that make up the mouth, eyes, and nose organs, such as the ends of the mouth, the corners of the eyes, the eyes, and the tip of the nose. is there.

  The collation unit 102 collates the acquired face image with the registered player's face image registered in advance in the biometric information DB 22, and if there is a face image that is a candidate with low similarity, supplies it to the analysis unit 103. To do.

  More specifically, the matching unit 102 extracts a feature amount for identifying the face image. The matching unit 102 extracts the feature amount of the registered player's face image registered in the biometric information DB 22 and uses the extracted feature amount of the face image in order to register the feature value of the registered player's face image. Similarities with the face images of all registered players are obtained, and the similarities are calculated together with the face images supplied from the face image acquisition unit 101. More specifically, for example, the matching unit 102 determines each face feature based on various facial feature amounts such as the interval between eyes, the length from the chin to the forehead, and the length from the chin to the nose. The difference sum, average ratio, or ratio sum is obtained as the similarity.

  Here, for example, the similarity indicates a higher value as it is closer to the face image registered as a registered player as indicated by the ratio sum, and the similarity is a value higher than a predetermined threshold value. In this case, an example will be described in which it is determined that the face image of the registered player corresponding to the similarity is. However, for example, when the similarity is expressed as a difference sum in the feature amounts of the face image captured as a registered player and the face image registered as a registered player, the image is captured if the similarity is smaller than a threshold value. The face image group is regarded as a registered player's face image, or in the case of an average ratio or the like, if the value is a predetermined value in the range of 0 to 1 and close to 1, the same It can be regarded as a person.

  The analysis unit 103 analyzes the information included in the face image information for the face image not registered in the biometric information DB 22 by the matching unit 102, and registers the face image as marketing data in the marketing data DB 104 together with the analysis result. . More specifically, the analysis unit 103 obtains age, sex, and facial expression as analysis results by analyzing wrinkles and skin spots included in the face image, and registers them in the marketing data DB 104. To do.

  The location information acquisition unit 106 controls the wireless router 121 to acquire, as location information, base information including IDs of mobile phone base stations that can be received as location information, and stores the location information in the location information memory 107.

  The transmission unit 105 reads out the position information from the position information memory 107 together with the marketing data registered in the marketing data DB 104 based on an operation signal from the operation unit 108 including a keyboard, a mouse, or an operation button, and transmits it. Set to buffer 105a. Further, the transmission unit 105 controls the wireless router 121 to wirelessly transmit, for example, store name information as information for identifying its own store in addition to the marketing data and position information set in the transmission buffer 105a. The data is transmitted from the router 121 to the third party game store management center 4. Further, the transmission unit 105 controls the wireless router 121 to send a marketing data acquisition request for requesting a totaling result of marketing data input from the operation unit 108 and set in the transmission buffer 105a, to the third party amusement store management center 4. Send to.

  The wireless router 121 transmits the data set in the transmission buffer 105a of the transmission unit 105 to the third party amusement store management center 4 or receives data transmitted from the third party amusement store management center 4. At the same time, it is set in the reception buffer 109 a of the reception unit 109. Further, the wireless router 121 controls the base information acquisition unit 121a to acquire base information including IDs of receivable mobile phone base stations as location information, and supplies the location information to the location information acquisition unit 106.

  The receiving unit 109 reads the data received by the wireless router 121 and set in the receiving buffer 109a, and displays it on the display unit 23 made of an LCD or an organic EL.

  The third party amusement store management center 4 includes a wireless router 150, a reception unit 151, a message analysis unit 152, a registration unit 153, a data generation unit 154, a transmission unit 155, and a management database 156.

  The wireless router 150 is basically the same as the wireless router 121 except for the function of the base information acquisition unit 121a as position information, and exchanges and receives information with the biological information recognition device 21 of the amusement store 1. The set data is set in the reception buffer 151a of the reception unit 151, and the data set in the transmission buffer 156a of the transmission unit 155 is transmitted.

  The reception unit 151 receives the data set in the reception buffer 151 a and supplies the data to the message analysis unit 152. The message analysis unit 152 analyzes the message as data supplied from the reception unit 151 by comparing with the information in the management database 156 registered in advance, and the data generation unit 154 or registration is performed according to the analysis result. To the unit 153. More specifically, the message analysis unit 152 analyzes a message of data transmitted from the biometric information recognition device 21, so that the location information and the store name included in the header portion are stored in advance in the management database. It is determined whether or not it matches the information registered in 156. Then, when the information matches, the message analysis unit 152 recognizes whether the information in the data unit is a marketing data acquisition request for requesting the aggregation result of marketing data or marketing data. . Furthermore, when it is marketing data, the message analysis unit 152 supplies the data to the registration unit 153. Moreover, when it is a marketing data acquisition request, the message | telegram analysis part 152 supplies to the data preparation part 154. FIG.

  When the marketing data is supplied, the registration unit 153 adds the marketing data registered in the third party amusement store management DB 5 to register the marketing data.

  Based on the marketing data acquisition request from the amusement store 1, the data creation unit 154 reads out the marketing data for the area of the amusement store 1 out of the marketing data stored in the third party amusement store management DB 5, Is set in the transmission buffer 155a of the transmission unit 155. The transmission unit 155 controls the wireless router 150 to transmit the aggregation result of the transmission buffer 155 a to the biological information recognition device 21.

[Registered player visit monitoring process]
Next, marketing data management processing by the marketing data management system of FIG. 2 will be described with reference to the flowcharts of FIGS. 3 and 4, the processing of the third party amusement store management center 4 is described on the left side, and the processing of the biological information recognition device 21 is described on the right side. As for the center processing, the same processing is described in both FIG. 3 and FIG.

  In step S1, the registration unit 153 of the third-party amusement store management center 4 uses a management database based on an operation signal from an operation unit including a keyboard, a mouse, and / or an operation button (not shown). It is determined whether or not an operation for prompting the start of an operation for registering information to be registered in 156 has been performed. In step S1, for example, in order to be able to newly manage the marketing data of the amusement store 1, the user of the third-party amusement store management center 4 operates an operation unit (not shown) to create a new amusement store 1 If an operation for prompting the start of the registration operation is performed, the process proceeds to step S2.

  In step S2, the registration unit 153 executes a registration process and accepts an input operation accompanying the registration operation.

[registration process]
Here, the registration process will be described with reference to the flowchart of FIG.

  In step S71, the registration unit 153 receives an input of the store name of the amusement store 1 to be newly registered. That is, when the user of the third-party amusement store management center operates the operation unit (not shown) and inputs the store name of the amusement store 1 that is newly accepting marketing data, the input of the store name is accepted. Memorize temporarily.

  In step S72, the registration unit 153 receives an input of a registered district. That is, when the user of the third-party amusement store management center operates an operation unit (not shown) and inputs a registered district that is a district where the amusement store 1 to newly accept marketing data is entered, Is received and temporarily stored.

  In step S <b> 73, the registration unit 153 sets a position information acquisition request that instructs the game store 1 registered in the transmission buffer 155 a of the transmission unit 155 to acquire and transmit the position information. Thereby, the transmission unit 155 transmits the position information acquisition request of the transmission buffer 155a from the wireless router 150 to the biological information recognition device 21 of the gaming store 1.

  Although the registration process is completed by the processes in steps S71 to S73 described above, the registration process itself is not completed at this point, and the response process (position information) from the biological information recognition device 21 corresponding thereto is performed. Transmission processing) and processing corresponding to the response processing. These processes will be sequentially described below.

  Now, the description returns to the flowchart of FIG.

  When the registration process of step S2 is completed, the process of the biometric information recognition device 21 is started in accordance with this process. If it is determined in step S1 that there is no registration operation, the process in step S2 is skipped.

  In step S31, the receiving unit 109 determines whether or not a location information acquisition request is transmitted from the third-party game shop management center 4 via the wireless router 121 and is set in the reception buffer 109a. For example, when a position information transmission request is transmitted by the process of step S73 (FIG. 5), the process proceeds to step S32.

  In step S <b> 32, the position information acquisition unit 106 executes position information transmission processing, acquires position information, and transmits the position information to the third party amusement shop management center 4 from the wireless router 121.

[Location information transmission processing]
Here, the position information transmission processing will be described with reference to the flowchart of FIG.

  In step S91, the position information acquisition unit 106 executes base information acquisition processing, and acquires base information including IDs of receivable mobile phone base stations as position information.

[Base information acquisition processing]
Here, the base information acquisition process will be described with reference to the flowchart of FIG.

  In step S111, the location information acquisition unit 106 instructs the wireless router 121 to acquire base information. In response to this instruction, the wireless router 121 controls the base information acquisition unit 121a to acquire an ID of a base station that can communicate as a base station of a mobile phone (not shown) and supplies the ID to the position information acquisition unit 106.

  In step S <b> 112, the location information acquisition unit 106 determines whether or not the base information including the ID information of the base station of the mobile phone, which is location information, is supplied from the wireless router 121 and acquired as location information.

  In step S112, if the position information acquisition unit 106 determines that the position information has been acquired from the wireless router 121 and the position information has been acquired, the process proceeds to step S113.

  In step S113, the position information acquisition unit 106 stores the supplied ID of the base station in the position information memory 107 as position information.

  In step S114, the position information acquisition unit 106 determines whether or not the processing in steps S111 to S113 has been repeated a predetermined number of times. If not, the processing returns to step S111. And in step S114, when the process of step S111 thru | or S113 is repeated, a process is complete | finished.

  In step S112, when the base information acquisition unit 121a of the wireless router 121 cannot communicate with any of the mobile phone base stations and the base information cannot be acquired, the process of step S113 is skipped.

  That is, by the above processing, the base information acquisition unit 121a of the wireless router 121 repeats acquisition of base information a predetermined number of times, and base information including the acquired base station ID information is acquired as position information.

  Now, the description returns to the flowchart of FIG.

  As described above, when the base information is acquired as the position information by the process of step S91, in step S92, the transmission unit 105 reads the base information as the position information from the position information memory 107, and makes a position information acquisition request. The header of the corresponding transmission message is set and stored in the transmission buffer 105a.

  In step S93, the transmission unit 105 sets the store name of the game store 1 registered in advance in the header part of the transmission message, and stores it in the transmission buffer 105a.

  In step S94, the transmission unit 105 supplies a transmission message corresponding to the location information acquisition request stored in the transmission buffer 105a to the wireless router 121 and causes the third-party amusement shop management center 4 to transmit the transmission message.

  In step S95, the transmission unit 105 inquires of the wireless router 121 and determines whether transmission of the transmission message has been normally completed. If the transmission message can be normally transmitted in step S95, the transmission unit 105 acquires a return value indicating completion of normal transmission from the wireless router 121 in step S96. On the other hand, if the transmission telegram cannot be transmitted normally in step S95, the transmission unit 105 acquires a return value indicating completion of abnormal transmission from the wireless router 121, indicating that the abnormal transmission has not been completed, in step S97.

  Through the above processing, the base information including the ID information of the base station of the mobile phone that can communicate as the position information is acquired and transmitted to the third party amusement shop management center 4 as the position information.

  Now, the description returns to the flowchart of FIG.

  On the other hand, when the position information is transmitted by the position information transmission process in step S32, the process proceeds to step S3 in the third-party game shop management center.

  In step S3, the reception unit 151 determines whether or not the data received from the biological information recognition device 21 of the gaming store 1 by the wireless router 150 is stored in the reception buffer 151a. In step S3, for example, when a transmission telegram including position information is transmitted by the processing in step S32, the wireless router 150 receives the transmission telegram and stores it as reception data in the reception buffer 151a. It is assumed that the received data is stored in step S4, and the process proceeds to step S4.

  In step S4, the reception unit 151 performs a data check process to check whether the reception data stored in the reception buffer 151a is normal data.

[Data check processing]
Here, the data check process will be described with reference to the flowchart of FIG.

  In step S121, the reception unit 151 reads data stored in the reception buffer 151a as data received by the wireless router 150.

  In step S122, the reception unit 151 determines whether or not the command of the received message is valid. In this case, since the received message is a message including position information, the command of the received message is regarded as valid, and the process proceeds to step S123. On the other hand, if the received message is not valid, the process proceeds to step S127.

  In step S123, the reception unit 151 determines whether or not the size of the received message, that is, the data length is normal, and if it is determined to be normal, the process proceeds to step S124. On the other hand, if it is determined that the size of the received message is not normal, the process proceeds to step S127.

  In step S124, the receiving unit 151 determines whether or not information indicating the store name is included in the header part of the received message. In this example, in the location information transmission process, the store name is registered in the header part by the process of step S93 (FIG. 6), so the store name information is considered to be included, Proceed to step S125. On the other hand, when it is determined that the store name information is not included, the process proceeds to step S127.

  In step S125, the reception unit 151 determines whether or not the position information included in the header part of the received message is within the area to be managed by the third party amusement store management center 4 itself. In other words, in the case of marketing information, there are areas to be managed. For example, if the area to be managed is only the Kanto region, the location information of the region belonging to the Kanto region is within the range of the region to be managed by itself. The process proceeds to step S126. On the other hand, when it is determined that it is not within the range of the area to be managed by itself, the process proceeds to step S127.

  In step S126, the reception unit 151 sets a value indicating that the data of the received message is normal as a return value. That is, when it is confirmed that the received message command is valid, the size is normal, the store name is included, and the location information is within the area to be managed, the received message data Is considered normal.

  On the other hand, in step S127, the receiving unit 151 sets a value indicating that the data of the received message is not normal as a return value. That is, when it is confirmed that the command of the received message is not valid, the size is not normal, the store name is not included, or the location information is not within the area to be managed, the received message data Is considered unhealthy.

  Now, the description returns to the flowchart of FIG.

  In step S4, when it is checked whether or not the data that is the received message is normal by the data check process, in step S5, the message analysis unit 152 determines that the data is normal based on the determination result of the data check process. It is determined whether or not there was.

  In step S5, if the return value of the data check process indicates normal, the received data is considered normal, and the process proceeds to step S6.

  In step S6, the message analysis unit 152 executes processing for each received message, and executes processing for each type of received message.

[Received message processing]
Here, the received message-specific processing will be described with reference to the flowchart of FIG.

  In step S141, the message analysis unit 152 reads the received message from the reception buffer 151a of the reception unit 151.

  In step S142, the message analysis unit 152 determines whether or not the received message is a message for registering position information. In the present example, since the received message is a message for registering position information, the received message is regarded as a message for registering position information, and the process proceeds to step S153.

  In step S153, the message analysis unit 152 uses the store name and location information registered in the header portion of the received message and the district name corresponding to the location information as location information, the management table in the management database 156, and marketing. A file for storing data is set in the third-party game store management database 5, and the path table of the file is registered in the management table.

  Here, the management table registered in the management database 156 is, for example, as shown in FIG. The upper part of FIG. 10 shows an example of a management table in which a district name and a base ID which is a base station ID which is location information are registered in association with a store name. And an example of a base ID table in which information on latitude and longitude, which is the position of each base ID, is registered. Below that, there is shown an example of a path table in which a path indicating a storage position of a file for storing marketing data to be registered is registered in association with a district name.

  As shown in the upper part of FIG. 10, a store name column, a district name column, and a position information column are registered in the management table from the left. In FIG. 10, Parlor Shinjuku, Parlor Ikebukuro, and Parlor Ueno are registered as store names from above, and Shinjuku district, Ikebukuro district, and Ueno district are registered as district names from above. In the position information column, base information consisting of a base ID for identifying a base station of a mobile phone corresponding to the left-hand side for each store is registered. That is, FIG. 10 shows that the game store 1 whose store name is “Parlor Shinjuku” belongs to the Shinjuku area, and the corresponding location information is base ID = ID1 to ID4. In addition, it is shown that the game store 1 whose store name is “Parlor Ikebukuro” belongs to the Ikebukuro district, and the corresponding position information is base ID = ID4 to ID6. Furthermore, it is shown that the game store 1 whose store name is “Parlor Ueno” belongs to the upper district, and the corresponding position information is base ID = ID3 to ID5, ID7.

  This is expressed as a positional relationship as shown in FIG. 11, for example. In other words, FIG. 11 is a bird's-eye view showing the spatial arrangement of Parlor Shinjuku, Parlor Ikebukuro, and Parlor Ueno, and the range indicated by the ellipse can be communicated with each base station of base ID = ID1 to ID7. Base area ID1 to ID7 indicating the area. That is, Parlor Shinjuku exists within the range of elliptical base areas ID1 to ID4 indicating the range in which communication is possible with the base stations identified by the base IDs 1 to ID4, as shown in FIG. Further, as shown in FIG. 11, the parlor Ikebukuro exists in the range of elliptical base area ID4 to ID6 indicating the range that can be communicated with the base station identified by the base ID4 to ID6. Further, as shown in FIG. 11, the parlor Ueno exists in the range of elliptical base area ID3 to ID5, ID7 indicating the range that can be communicated with the base station identified by the base ID3 to ID5, ID7.

  Further, the base ID table in the middle of FIG. 10 includes a base ID column, a latitude column, and a longitude column from the left, and the position of the base station identified by each base ID is registered in latitude and longitude. Yes. That is, in the case of FIG. 10, it is indicated that the base station with base ID = ID1 has a latitude of 35 degrees 30 minutes and the longitude of 136 degrees 76 minutes. Similarly, the base station with base ID = ID2 has a latitude of 35 degrees It is shown that the base station with base ID = ID3 has a latitude of 35 degrees and 30 minutes and a longitude of 136 degrees and 75 minutes with a longitude of 31 minutes and a longitude of 136 degrees and 76 minutes.

  Further, the path table shown in the lower part of FIG. 10 includes a district name column and a file path name column from the left, and the path name of each district file registered in the third-party amusement store management DB 5. Is registered. That is, in FIG. 10, the marketing data file for Shinjuku area is “c: /MarcketingData/sinjuku/201008/20100801_Data.csv”, and the marketing data file for Ikebukuro area is “c: / MarcketingData / ikebukuro / 201008”. “/20100801_Data.csv” indicates that the marketing data file of the Ueno area is registered in “c: /MarcketingData/ueno/201008/20100801_Data.csv”.

  Now, the description returns to the flowchart of FIG. In step S154, the message analysis unit 152 sets information indicating that the position information is normally transmitted and registered as a response message in the transmission buffer 155a of the transmission unit 155.

  In other words, the store name of the newly-registered amusement store, the location information, and the marketing data storage file are registered by the above processing.

  On the other hand, if it is determined in step S142 that the position information is not registered, that is, if it is a marketing data or marketing data acquisition request to be described later, the process proceeds to step S143.

  In step S143, the message analysis unit 152 determines whether or not the store name and location information included in the header of the data that is the received message matches the store name and location information registered in the management database 156 in advance. judge. That is, the message analysis unit 152 reads the store name and the location information from the header portion of the data, searches the management database 156, and searches for whether there is a match. At this time, as shown in the upper part of FIG. 10, when a plurality of base IDs are registered, one of them may be matched, and if all base IDs do not match, they do not match. It is good as a thing. In this example, if any of the base IDs matches, it is considered that the location information matches.

  If the position information corresponding to the store name matches in step S144, the process proceeds to step S144.

  In step S144, the message analysis unit 152 determines whether there is an unregistered base ID in the management database 156 among the location information included in the header portion of the data. That is, there may be a plurality of base stations that can communicate at the game store 1, and as a result, a plurality of location information may be registered in the management database 156 in advance. However, communication was not possible when registering location information, but the base ID of the base station that can communicate when the subsequent marketing data or marketing data acquisition request is transmitted is included in the header part of the received message. there is a possibility. Therefore, in step S144, it is determined whether or not such an unregistered base ID is included in the header portion.

  If an unregistered base ID that is unregistered base information is included in step S144, the process proceeds to step S145.

  In step S145, the message analysis unit 152 adds and registers an unregistered base ID in the base ID column corresponding to the store name that is considered to match the management DB 156. On the other hand, when there is no unregistered base information in step S144, the process of step S144 is skipped.

  In step S146, the message analysis unit 152 determines whether the received message is marketing data. In step S146, when the received message is, for example, marketing data transmitted by a marketing data transmission process described later with reference to the flowchart of FIG. 15, the process proceeds to step S147.

  In step S147, the message analysis unit 152 supplies the received marketing data to the registration unit 153. Then, based on the path table of the management database 156, the registration unit 153 stores the file in the third-party amusement store management DB 5 specified by the path registered in association with the district name corresponding to the position information in the header part. , Add the received marketing data and store it.

  In step S148, the registration unit 153 sets a response message indicating that the marketing data has been successfully registered in the transmission buffer 155a of the transmission unit 155.

  If it is determined in step S146 that the data is not marketing data, the process proceeds to step S149.

  In step S149, the message analysis unit 152 determines whether or not the received message is a marketing data acquisition request. In step S149, if the received message is a marketing data acquisition request transmitted by a marketing data acquisition request transmission process described later with reference to the flowchart of FIG. 16, for example, the process proceeds to step S150.

  In step S150, the message analysis unit 152 accesses the management database 156, and stores a file in which marketing data of the district name registered corresponding to the store name of the inquiring game store is stored. Are read from the path table, and the read path information is supplied to the data creation unit 154. Based on the supplied path information, the data creation unit 154 accesses the third party amusement store management DB 5 to search for and read out a file in which marketing data is stored.

  In step S151, the data creation unit 154 reads out and accumulates the files in which the marketing data of the district names registered in association with the store names is stored, creates a response message, and transmits the transmission buffer of the transmission unit 155. Set to 155a.

  In step S143, the position information in the header portion does not match the position information registered in advance, that is, the base station that is the position information registered in association with the store name registered in advance is identified. If the base ID does not match the base ID that is the position information of the header part of the received message, or if it is not a marketing data acquisition request in step S149, the process proceeds to step S152.

  In step S152, the message analysis unit 152 sets a response message indicating that the message transmitted to the transmission buffer 155a of the transmission unit 155 is abnormal.

  Through the above processing, processing for each received message such as position information, marketing data, and marketing data acquisition request is realized, and a response message is set in the transmission buffer 155a of the transmission unit 155. At this time, any received message such as marketing data and marketing data acquisition request will not be accepted unless the store name and location information in the header part matches the pre-registered information, so marketing data and marketing data acquisition request In any of the cases, even if the wireless router 121 is moved and used between stores without seriousness, the marketing data to be stored can be authenticated so that it is not stored as marketing data. Therefore, it becomes possible to improve the reliability of marketing data for each region. Moreover, since it is the same with respect to a marketing data acquisition request, each game shop 1 can acquire only the aggregate information of marketing data corresponding to the district name to which it belongs.

  Now, the description returns to the flowchart of FIG.

  When the received message-specific process is executed by the process of step S6, in step S8, the transmission unit 155 controls the wireless router 150 to transmit the response message set in the transmission buffer 155a. It is transmitted to the biological information recognition device 21.

  On the other hand, when it is determined in step S5 that the data is not normal by the data check process, in step S7, the message analysis unit 152 sends a response message indicating that the transmitted data is not normal to the transmission unit 155. The transmission buffer 155a is set, and the process proceeds to step S8.

  Thus, when the response message with respect to the transmission message from the biometric information recognition device 21 of the gaming store 1 is transmitted, the process of the biometric information recognition device 21 is executed.

  That is, when the position information transmission process is executed by the process of step S32 and a response message for the transmission message is transmitted, in step S33, in the transmission unit 105, the return value is normal transmission completion, and The reception unit 109 transmits the position information depending on whether the response message received by the wireless router 121 and transmitted from the third-party game shop management center 4 set in the reception buffer 109a is normal. It is determined whether or not is completed normally.

  In step S33, for example, when a return value indicating completion of normal transmission is acquired by the processing in step S96 (FIG. 6), and a message indicating normality is received as a response message from the third party amusement store management center 4. Therefore, it is considered that the normal transmission has been completed, and the processing proceeds to step S34.

  In step S34, the transmission unit 105 causes the display unit 23 to display information indicating normal transmission completion. This process indicates that the transmission of the position information corresponding to the position information acquisition request has been completed.

  In step S33, for example, a return value indicating completion of abnormal transmission is acquired by the processing in step S97 (FIG. 6), or a message indicating abnormality is received as a response message from the third-party game store management center 4. If it is determined that the normal transmission has not been completed, the process proceeds to step S35.

  In step S35, the transmission unit 105 causes the display unit 23 to display information indicating completion of abnormal transmission. This process indicates that the transmission of the position information corresponding to the position information acquisition request is not completed.

  Through the above process, the store name, the district name, and the position information are registered by a series of processes based on the registration operation. If there is no registration operation in step S1, the registration process in step S2 is skipped. In addition, since the position information acquisition request is not transmitted from the third-party game shop management center 4 by skipping the process of step S2, it is considered that there is no position information acquisition request in step S31. Thus, the processes in steps S32 to S35 are skipped.

  In step S <b> 36, the biometric information recognition device 21 performs camera image processing, sequentially extracts facial images from images captured by the camera, and sequentially registers facial images that are not registered in the biometric information DB 22 in the biometric information DB 22. .

[Camera image processing]
Here, the camera image processing will be described with reference to the flowchart of FIG.

  In step S <b> 161, the entrance camera 40 (or the in-store camera 41) captures an image of the installed range and supplies the captured image to the image processing unit 39. The image processing unit 39 acquires the supplied image.

  In step S162, the image processing unit 39 extracts the player's face image from the supplied image. More specifically, the image processing unit 39 extracts a rectangular face image by template matching using a reference template corresponding to the contour of the face image from the captured images. It should be noted that the image processing unit 39 extracts a rectangular face image from the arrangement of characteristic parts such as eyes and nose, etc., in the imaged image where the skin is exposed from the color scheme or the like. It is also possible to detect vertices such as the head by template matching or chroma key processing based on facial organs (eyes, nose, ears, etc.), and learn with a teacher signal using a neural network. The face image may be extracted by a technique such as detecting a face image.

  In step S <b> 163, the face image acquisition unit 101 of the biological information recognition apparatus 21 acquires the extraction result by the image processing unit 39.

  In step S <b> 164, the face image acquisition unit 101 determines whether a face image exists in the extraction result from the image processing unit 39. That is, since there is a possibility that a face image does not exist in the image to be captured, it is determined whether or not a face image exists in the extraction result.

  In step S164, for example, when it is determined that no face image exists in the extraction result of the image processing unit 39, the processing ends.

  On the other hand, if it is determined in step S164 that a face image is present in the extraction result of the image processing unit 39, the process proceeds to step S165.

  In step S <b> 165, the face image acquisition unit 101 supplies the acquired face image to the collation unit 102. The collation unit 102 extracts a feature amount from the supplied face image.

  In step 166, the collation unit 102 extracts feature amounts of the same type as the extracted face image for all face images registered in the biometric information DB 22, and calculates the similarity. That is, the collation unit 102 performs various facial feature quantities such as the ratio of the distance between the eyes, the distance from the chin to the forehead, and the length from the chin to the nose, Using the same feature amount in the face image registered in the information DB 22, each difference sum, average ratio, or ratio sum is calculated as the similarity.

  In step S167, the collation unit 102 obtains a rank based on the calculation result of the calculated similarity, and whether or not the highest similarity among the face images registered in the biometric information DB 22 is smaller than a predetermined threshold value. Determine whether. That is, the matching unit 102 compares the similarity of the most similar face image with a predetermined threshold value.

  Note that, as described above, the similarity between the face image of the registered player who is most similar to the captured face image is not necessarily the highest because of the definition of the similarity. And the threshold value may differ from those in this example.

  If it is determined in step S167 that the highest similarity is smaller than the predetermined threshold value, in step S168, the collation unit 102 regards the extracted face image as an unregistered face image, and The information is registered in the information DB 22 and supplied to the analysis unit 103.

  In step S169, the analysis unit 103 analyzes information such as the type of hairstyle, wrinkles, spots, and facial expressions from the face image, and extracts, for example, the gender, age, and facial expression type of the person in the face image as feature information, and marketing. The data is registered in the marketing data DB 104 as primitive data for generating data.

  Through the above processing, when an unregistered face image is sequentially acquired in the biometric information DB 22, it is registered in the biometric information DB 22, the unregistered face image is analyzed, and the analysis result is used as marketing data primitive data. Registration in the DB 104 is possible.

  Now, the description returns to the flowchart of FIG.

  In step S36, when the original data of the marketing data is generated by the camera image processing, in step S37, the analysis unit 103 determines whether or not the current time is within business hours. In step S37, for example, when it is determined that it is within business hours, the process proceeds to step S38.

  In step S <b> 38, the analysis unit 103 executes marketing data creation processing, and creates marketing data from the original data accumulated in the marketing data DB 104.

[Marketing data creation process]
Here, the marketing data creation process will be described with reference to the flowchart of FIG.

  In step S <b> 171, the position information acquisition unit 106 controls the wireless router 121 to acquire position information, and stores the acquired position information in the position information memory 107. The acquisition of the position information is the same as the base information acquisition process described with reference to the flowchart of FIG.

  In step S172, the analysis unit 103 accesses the position information memory 107 and determines whether the position information has been acquired. That is, since the location information is the base ID of the base station of the mobile phone that can communicate, there is a possibility that it cannot be acquired if there is no base station that can communicate. Therefore, it is determined whether or not a base ID for identifying a communicable base station, which is position information, has been acquired by the processing in step S172.

  In step S172, for example, if it is determined that position information has been acquired, the process proceeds to step S173.

  In step S173, the analysis unit 103 sets the acquired position information and store name information in the header portion of the marketing data.

  In step S174, the analysis unit 103 creates marketing data by storing the original data created by the above-described camera image processing in the data portion of marketing data, and stores it in a folder at a predetermined position in the marketing data DB 104. .

  In step S175, the analysis unit 103 sets a file path designating a folder storing the created marketing data in the file path column of the marketing creation history included in the marketing data DB 104 based on the created marketing data.

  In step S176, the analysis unit 103 sets “unsent” as the status information of the created marketing data in the status column of the marketing creation history included in the marketing data DB 104 based on the created marketing data.

  That is, the marketing data creation history is, for example, as shown in FIG. In the marketing data creation history of FIG. 14, from the left, a date column, a status column, a file type column, a condition column, and a file path column are provided. That is, the date column is recorded as “2010/6/1” and “2010/6/2”, and the data is registered on June 1, 2010 and June 2, 2010 respectively from the top. File is shown. In the status column, “sent” and “not sent” are recorded from the top, and the marketing data registered on June 1, 2010 is already described later with reference to the flowchart of FIG. Although it has been transmitted to the third party amusement store management center 4 by the marketing data transmission process, the marketing data registered as of June 2, 2010 may not be transmitted to the third party amusement store management center 4. It is shown. In the file type column, “actual number file” is recorded, and it is indicated that each file is a file in which the actual number of persons is recorded. In the condition field, a threshold field and a camera ID field are provided, which are registered as “550” and “1-3”, respectively. When it is obtained with thirty-one thousand points, it is shown that the value used as the threshold value is 550 points, and all face images are taken by the camera 40 (or 41) classified by camera ID = 1-3 It is shown that. Furthermore, in the file path column, “c: /MarcketingData/201006/20100601_Data1.csv” and “c: /MarcketingData/201006/20100602_Data1.csv” are registered from the top, and each file is registered. The path that is shown is shown.

  Through the above processing, when an unregistered face image is sequentially acquired in the biometric information DB 22, it is registered in the biometric information DB 22, and the unregistered face image is analyzed, and the original data as the analysis result is converted into the marketing data DB 104. In addition, marketing data is created, and the marketing creation history is updated and recorded.

  Now, the description returns to the flowchart of FIG.

  On the other hand, if it is determined in step S37 that it is not outside business hours, the process in step S38 is skipped.

  In step S39, the transmission unit 109 accesses the marketing data creation history in the marketing data DB 104, and determines whether or not unprocessed marketing data exists. That is, for example, the transmission unit 109 reads information in the status column in the marketing data creation history in FIG. 14 and determines whether there is an untransmitted one.

  In step S39, for example, as shown in the marketing creation history of FIG. 14, the file storing the marketing data dated June 2, 2010 is recorded as “unsent” in the status column. It is assumed that unsent marketing data exists, and the process proceeds to step S40.

  In step S40, the position information acquisition unit 106 executes position information acquisition processing, controls the wireless router 121, and acquires a base ID for identifying a communicable base station as position information. The location information acquisition process is the base information acquisition process itself described with reference to the flowchart of FIG.

  In step S41, the transmission unit 105 controls the wireless router 121 to execute the marketing data transmission process, and stores the marketing data file registered as untransmitted from the marketing data DB 104 in the third party amusement store management center 4. Send it.

[Marketing data transmission processing]
Here, the marketing data transmission process will be described with reference to the flowchart of FIG.

  In step S201, the transmission unit 105 acquires the position information stored in the position information memory 107 by the position information acquisition process.

  In step S202, the transmission unit 105 determines whether or not position information has been acquired. That is, since the location information is the base ID of the base station of the mobile phone that can communicate, there is a possibility that it cannot be acquired if there is no base station that can communicate. Therefore, it is determined whether or not a base ID for identifying a communicable base station, which is position information, has been acquired by the processing in step S202.

  In step S202, for example, if it is determined that position information has been acquired, the process proceeds to step S203.

  In step S203, the transmission unit 105 sets the acquired location information and store name information in the header of the transmission message.

  In step S204, the transmission unit 105 reads a file in which marketing data is accumulated based on the path information of the marketing data creation history, sets a file composed of marketing data in the transmission message, and transmits the transmission message. Set to buffer 105a.

  In step S205, the transmission unit 105 supplies the transmission message set in the transmission buffer 105a to the wireless router 121.

  In step S206, the transmission unit 105 controls the wireless router 121 to transmit a transmission message to the third party amusement store management center 4.

  In step S207, the transmission unit 105 makes an inquiry to the wireless router 121 to determine whether or not the transmission message has been transmitted normally. If it is confirmed that the transmission message has been transmitted normally, in step S208, the normal transmission completion is confirmed. Set the return value shown.

  On the other hand, if it is not confirmed in step S207 that the transmission has been normally performed, in step S209, the transmission unit 105 sets a return value indicating a transmission abnormality.

  If position information cannot be acquired in step S202, the process proceeds to step S209.

  That is, if the marketing data of the unsent data is registered in the marketing data DB 104 by the above processing, the unsent marketing data is transmitted to the third party amusement store management center 4.

  With this process, when marketing data is received as a received message in the process of step S3 and the data is normal by the data check process in step S4, in step S6, the process of step S147 in the received message-specific process in FIG. Marketing data is registered in the third party amusement store management DB 5. Then, a response message indicating whether or not the marketing data has been registered normally is transmitted from the third-party amusement store management center 4 to the biometric information recognition device 21.

  In step S42, the transmission unit 105 returns the marketing data and the return value is normal transmission completion, and the reception unit 109 receives the wireless router 121 and sets it in the reception buffer 109a. Whether or not the transmission of the position information has been normally completed is determined based on whether or not the response message transmitted from the third party amusement store management center 4 is normal.

  In step S42, for example, when a return value indicating completion of normal transmission is acquired by the processing in step S208 (FIG. 15), and a message indicating normality is received as a response message from the third party amusement store management center 4. Therefore, it is considered that the normal transmission has been completed, and the process proceeds to step S43.

  In step S43, the analysis unit 103 updates the status column of the marketing data creation history from untransmitted to transmitted.

  In step S44, the transmission unit 105 causes the display unit 23 to display information indicating completion of normal transmission of marketing data. This process indicates that the transmission of marketing data has been completed.

  In step S42, for example, a return value indicating completion of abnormal transmission is acquired by the processing in step S209 (FIG. 15), or a message indicating abnormality is received as a response message from the third-party game store management center 4. If it is determined that the normal transmission has not been completed, the process proceeds to step S45.

  In step S45, the transmission unit 105 causes the display unit 23 to display information indicating a marketing data transmission failure. This process indicates that the transmission of marketing data has failed.

  In step S39, when there is no unsent marketing data, the processes in steps S40 to S45 are skipped.

  Through the above processing, when marketing data is created in the biometric information recognition device 21, it is sequentially transmitted to the third party amusement store management center 4 and stored in the third party amusement store management DB 5. At this time, since the location information included in the marketing data is authenticated by determining whether or not the location information matches the location information registered in advance, the location information matches the registered location information. Since only the marketing data that has been processed is surely stored in the third-party amusement store management DB 5, it becomes possible to improve the reliability of the marketing data that is tabulated by region.

  Now, the description returns to the flowchart of FIG.

  When the result of the marketing data transmission process is displayed in steps S44 and S45, the process proceeds to step S46 (FIG. 4).

  In step S46 (FIG. 4), the transmission unit 109 determines whether or not the operation unit 108 has been operated to make a display request for marketing data. That is, it is determined whether or not the operation unit 108 has been operated and display of the marketing data aggregation result in the game store 1 of the biometric information recognition device 21 has been requested.

  In step S46, for example, when the operation unit 108 is operated to display the tabulation result of marketing data, the process proceeds to step S47.

  In step S47, the location information acquisition unit 106 controls the wireless router 121 to execute location information acquisition processing to acquire a base ID that identifies a base station that can communicate as location information. The location information acquisition process is the base information acquisition process itself described with reference to the flowchart of FIG.

  In step S <b> 48, the transmission unit 105 controls the wireless router 121 to execute a marketing data acquisition request transmission process, and transmits the marketing data acquisition request to the third party amusement shop management center 4.

[Marketing data acquisition request transmission processing]
Here, the marketing data acquisition request transmission process will be described with reference to the flowchart of FIG.

  In step S241, the transmission unit 105 acquires the position information stored in the position information memory 107 by the position information acquisition process.

  In step S242, the transmission unit 105 determines whether or not position information has been acquired.

  In step S242, for example, if it is determined that position information has been acquired, the process proceeds to step S243.

  In step S243, the transmission unit 105 sets the acquired location information and store name information in the header of the transmission message.

  In step S244, the transmission unit 105 sets a transmission message serving as a marketing data acquisition request in the transmission buffer 105a.

  In step S245, the transmission unit 105 supplies the wireless router 121 with a transmission message including a marketing data acquisition request set in the transmission buffer 105a.

  In step S246, the transmission unit 105 controls the wireless router 121 to transmit a transmission message including a marketing data acquisition request to the third party amusement store management center 4.

  In step S247, the transmission unit 105 makes an inquiry to the wireless router 121 to determine whether or not the transmission message including the marketing data acquisition request has been normally transmitted. If the transmission unit 105 has confirmed that the transmission has been normally performed, the transmission unit 105 performs step S248. In, a return value indicating completion of normal transmission is set.

  On the other hand, if it is not confirmed in step S247 that the transmission has been performed normally, in step S249, the transmission unit 105 sets a return value indicating transmission abnormality.

  If position information cannot be acquired in step S242, the process proceeds to step S249.

  That is, when the display of the marketing data total result is requested by the above processing, the marketing data acquisition request is transmitted to the third party amusement store management center 4 together with the store name and the location information.

  By this process, when marketing data is received as a received message in the process of step S3 and the data is normal by the data check process in step S4, in step S6, the process of step S150 in the received message-specific process in FIG. Marketing data of the matched region name registered based on the store name is searched. And by the process of step S151, the searched marketing data is transmitted to the biometric information recognition apparatus 21 from the 3rd party amusement store management center 4 as a response message.

  In step S49, the transmission unit 105 transmits a marketing data acquisition request, the return value is normal transmission completion, and the reception unit 109 receives the wireless router 121 and sets it in the reception buffer 109a. It is determined whether or not the transmission of the marketing data acquisition request has been normally completed depending on whether or not the totaling result of the marketing data, which is a response message transmitted from the third party amusement store management center 4, has been normally received. Is done.

  In step S49, for example, a return value indicating completion of normal transmission is acquired by the process of step S248 (FIG. 16), and as a response message from the third-party amusement store management center 4 as marketing data for the area of the amusement store 1. When the electronic message including the retrieved information is received, it is considered that the normal transmission has been completed, and the process proceeds to step S50.

  In step S <b> 50, the receiving unit 109 aggregates the marketing data in the same region transmitted in response to the marketing data acquisition request and causes the display unit 23 to display the totaled marketing data. By this processing, the totaling result of the marketing data is displayed as shown in FIG. 17, for example.

  FIG. 17 shows an example of the total result displayed for each date, and the smile level is distinguished as the gender, age, and facial expression on the left side. That is, as shown in “20100801”, the aggregation result in FIG. 17 is dated August 1, 2010, and the aggregation result displayed by the operation unit 108 is switched for each date. Can be displayed.

  Further, on the right side of the tabulation result of FIG. 17, the corresponding time information and the actual number of persons are shown. That is, on the left side, “male 18-29”, “male 30-39”, “male 40-49”, “male 50-59”, “male 60-”, “women 18-29”, “ Women 30-39, Women 40-49, Women 50-59, Women 60-, LOL 0-39, LOL 40-69, and LOL 70-100. ing. These are the facial images acquired as marketing data, and the analysis results are “male between the ages of 18 and 29”, “male between the ages of 30 and 39”, “male between the ages of 40 and 49, "Men 50 to 59", "Men 60 and over", "Women 18 to 29", "Women 30 to 39", "40 to 49", "50" "A woman aged 59 to 59", "A woman aged 60 and over", "A person with a smile level of 0 to 39", "A person with a smile level of 40 to 69", and "A person with a smile level of 70 to 100" It is shown that the person is a face image of “person”. Here, the smile level is displayed as 0 to 100 points. Further, the total time zone is divided from 9:00 to 10:00, 10:00 to 11:00, 11:00 to 12:00, 12:00 to 13:00... From the left.

  That is, in the counting result of FIG. 17, in the time zone from 9:00 to 10:00, six men aged 18 to 29 years old visited the store, four men aged 30 to 39 years old visited the store, and the age 40 to A 49-year-old man visits 0, a 50- to 59-year-old man visits three, a 60-year-old man or more visits one store, an 18- to 29-year-old woman visits one store, a 30-year-old or later A 39-year-old woman visits 0 store, a 40-49-year-old woman visits 2 stores, a 50-59-year-old woman visits 1 store, a 60-year-old woman visits 1 store, and smile level It is shown that 17 persons from 0 to 39 have visited the store, one person with a smile level of 40 to 69 has visited one person, and one person with a smile level of 70 to 100 has visited the shop.

  In step S49, for example, a return value indicating completion of abnormal transmission of the marketing data acquisition request is acquired by the processing in step S249 (FIG. 16), or an abnormal response message from the third party amusement store management center 4 is detected. Is received, it is considered that the transmission of the marketing data acquisition request has failed, and the process proceeds to step S51.

  In step S51, the transmission unit 105 causes the display unit 23 to display information indicating a marketing data acquisition request transmission or acquisition failure. This process indicates that the transmission or acquisition of the marketing data acquisition request has failed.

  In step S52, the transmission unit 105 determines whether or not the operation unit 108 has been operated to instruct the end of the marketing data management process. If the end is not instructed, the process returns to step S31 and the end is instructed. Steps S31 to S52 are repeated until it is done. Then, in step S52, when the end is instructed, the process ends.

  In step S9, the message analysis unit 152 determines whether or not an operation unit (not shown) is operated to instruct the end of the marketing data management process. If the end is not instructed, the process proceeds to step S1. The process of steps S1 to S9 is repeated until an end is instructed. In step S9, when the end is instructed, the process ends.

  When the display of marketing data is requested in the biometric information recognition device 21 by the above processing, a marketing data transmission request is transmitted to the third party amusement store management center 4, and the third party amusement store management DB 5 stores the same area. Marketing data is retrieved and sent. And since the marketing data of the same area which were transmitted are totaled and displayed, it becomes possible to display the marketing data corresponding to the area, and it is possible to support the construction of the sales strategy of the amusement store 1 Become. In the above, the example of using the base information as the position information has been described. However, since the position information may be used, for example, GPS (Global Positioning System) information may be used instead of the base information. good.

<Second embodiment>
[Other monitoring system configuration examples]
In the above, an example in which only base information using a base ID for identifying a base station of a mobile phone that can communicate with the wireless router 121 of the biological information recognition device 21 of the gaming store 1 has been described as position information. In the method, although the position of the base station can be easily obtained, the exact position of the amusement shop 1 cannot be recognized. Therefore, GPS (Global Positioning System) information may be obtained by the wireless router 121 to obtain position information with high accuracy, and the position information may be configured in combination with base information.

  FIG. 18 is a diagram illustrating another configuration example of the marketing data management system of the amusement shop that uses GPS information as position information in addition to the base information described above. In addition, about the structure same as the marketing data management system of FIG. 2, the same name and the same code | symbol are attached | subjected, and the description shall be abbreviate | omitted.

  That is, the marketing data management system in FIG. 18 differs from the marketing data management system in FIG. 2 in that the GPS information is used in addition to the base information as position information, and the configuration for handling the GPS information is different. More specifically, with respect to the biological information recognition device 21, the wireless router 121 is newly provided with a GPS information acquisition unit 121 b, and instead of the location information acquisition unit 106 and the location information memory 107, location information acquisition is performed. A unit 201 and a position information memory 202 are provided. In the third-party amusement store management center 4, instead of the reception unit 151, the message analysis unit 152, the registration unit 153, and the management DB 156, a reception unit 221, a message analysis unit 222, a registration unit 223, and a management DB 224 are provided. Is provided.

  The location information acquisition unit 201 and the location information memory 202 are the same as the location information acquisition unit 106 and the location information memory 107 in basic functions, but GPS information is also included as location information in addition to base information. deal with. That is, the position information acquisition unit 201 requests the wireless router 121 to acquire GPS information together with base information. In response to this, the wireless router 121 controls the base information acquisition unit 121a to acquire the base information and also controls the GPS information acquisition unit 121b based on a signal transmitted from a satellite (not shown). The position information is calculated and supplied to the position information acquisition unit 201 as GPS information. The location information acquisition unit 201 stores the base information and GPS information supplied from the wireless router 121 in the location information memory 202.

  The registration unit 223 and the management DB 224 have the same basic functions as the registration unit 153 and the management DB 156. However, at the time of registration, the registration unit 223 and the management DB 224 authenticate only with the base information as the location information. Set the authentication type to authenticate only with information or to authenticate with both base information and GPS information. Further, when both base information and GPS information are used, it is possible to specify whether to authenticate when both are correct, or to authenticate when either is correct.

  The reception unit 221 acquires the received message received via the wireless router 150 in the reception buffer 221 a and supplies the received message to the message analysis unit 222. The message analysis unit 222 has the same basic functions as the message analysis unit 152. However, by using base information and GPS information as position information, processing corresponding to the authentication type described above can be performed. included.

  In the management DB 224, GPS information is registered as location information in the management DB 156 in addition to base information, and an authentication type of location information is further registered.

[registration process]
Here, the marketing management processing in the marketing data management system of FIG. 18 will be described, but the basic processing has been described with reference to the flowcharts of FIGS. 3 and 4 in the marketing data management system of FIG. Since this is the same as the processing, only the different processing will be described below.

  First, registration processing in the marketing data management system of FIG. 18 will be described with reference to the flowchart of FIG. Note that the processing of steps S301 and S302 in the flowchart of FIG. 19 is the same as the processing of steps S71 and S72 described with reference to the flowchart of FIG.

  In step S <b> 303, the registration unit 223 accepts input of information specifying the authentication type using the position information, and temporarily stores it. Here, the information specifying the authentication type using the location information is only when base information is used, when only GPS information is used, when both information is correct using both base information and GPS information. Only when the authentication is permitted, and when any of the information is correct, the information is specified for any of the four types in total.

  In step S304, the registration unit 223 uses the position information together with the position information acquisition request that instructs the game store 1 registered in the transmission buffer 155a of the transmission unit 155 to acquire and transmit the position information. Set authentication type information. Thereby, the transmission unit 155 transmits the position information acquisition request of the transmission buffer 155a and the authentication type information from the wireless router 150 to the biometric information recognition device 21 of the gaming store 1.

[Location information transmission processing]
Next, the location information transmission process in the marketing data management system of FIG. 18 will be described with reference to the flowchart of FIG. Note that the processing in steps S323, S326 to S330 in FIG. 20 is the same as the processing in steps S91, S93 to S97 described with reference to the flowchart in FIG.

  That is, in step S321, the position information acquisition unit 201 reads out the information of the authentication type of the position information included in the position information acquisition request that is a received message.

  In step S322, the position information acquisition unit 201 determines whether the authentication type of the position information is both base information and / or GPS information. In step S322, for example, when the authentication type of the position information is both base information and / or GPS information, the process proceeds to step S323.

  In step S323, the location information acquisition unit 201 executes base information acquisition processing to acquire location information. Note that the base information acquisition process is the same as the process described with reference to the flowchart of FIG.

  In step S324, the position information acquisition unit 201 executes GPS information acquisition processing to acquire GPS information.

[GPS information acquisition processing]
Here, the GPS information acquisition process will be described with reference to the flowchart of FIG.

  In step S351, the position information acquisition unit 201 instructs the wireless router 121 to acquire GPS information. In response to this instruction, the wireless router 121 controls the GPS information acquisition unit 121b to receive a GPS signal from a satellite (not shown), and uses the received signal as position information as GPS information. 106.

  In step S <b> 352, the position information acquisition unit 201 determines whether GPS information that is position information is supplied from the wireless router 121 and can be acquired as position information.

  In step S352, if the position information acquisition unit 201 has been supplied with the position information from the wireless router 121 and determines that the position information has been acquired, the process proceeds to step S353.

  In step S353, the position information acquisition unit 201 stores position information including the supplied GPS information in the position information memory 202 as a return value.

  In step S354, the position information acquisition unit 201 determines whether or not the processes of steps S351 to S353 have been repeated a predetermined number of times. If not, the process returns to step S351. In step S354, when the processes in steps S351 to S353 are repeated a predetermined number of times, the process ends.

  In step S352, when the GPS information acquisition unit 121b of the wireless router 121 cannot receive a signal from any satellite (not shown) and GPS information cannot be acquired, the process of step S353 is skipped.

  In step S355, the position information acquisition unit 201 accesses the position information memory 202 and determines whether GPS information is stored. In step S355, for example, when GPS information is stored, in step S356, the position information acquisition unit 201 causes the position information memory 202 to store GPS information as position information as it is as a return value.

  On the other hand, in step S355, if the GPS information is not stored in the position information memory 202 because the GPS information is not stored in the position information memory 202, the process proceeds to step S357.

  In step S357, the position information acquisition unit 201 sets and stores a return value indicating that GPS information cannot be acquired in the position information memory 202.

  That is, by the above processing, when the GPS information acquisition unit 121b of the wireless router 121 repeats acquisition of GPS information a predetermined number of times, and GPS information is acquired, the acquired GPS information is latitude and longitude information. Is stored in the position information memory 202 as GPS information. If the GPS information cannot be acquired, a return value indicating that the GPS information cannot be acquired is stored in the position information memory 202. In the base information, the base station ID is stored as a return value, and the state where the base station is not acquired is not mentioned, but it is generally in a state where communication with the base station of the mobile phone is possible. It is. However, it is known that GPS information often cannot be received from a satellite (not shown), so GPS information cannot be received as a return value. Is set.

  Now, the description returns to the flowchart of FIG.

  When the GPS information acquisition process is executed in step S324, the process proceeds to step S325.

  In step S325, the transmission unit 105 sets position information corresponding to the authentication type in the header part of the transmission message.

  Thereafter, the location information is transmitted to the third party amusement store management center 4 as in the marketing data management system of FIG.

  On the other hand, if the authentication type is not GPS information or base information in step S322, in step S331, the location information acquisition unit 201 determines whether the authentication type is only GPS information. In step S331, for example, when the authentication type is only GPS information, in step S332, GPS information acquisition processing is executed, and GPS information is acquired. The GPS information acquisition process is the same as the process described with reference to the flowchart of FIG.

  If it is determined in step S331 that the information is not only GPS information, that is, if it is determined that the information is only base information, in step S333, the location information acquisition unit 201 executes base information acquisition processing, and obtains base information. Obtained as location information. Note that the base information acquisition process is the same as the process described with reference to the flowchart of FIG.

  That is, by the above processing, GPS information and base information, only GPS information, or only base information is acquired as position information corresponding to the authentication type, and is transmitted to the third party amusement store management center 4 as position information. The

[Data check processing]
Next, data check processing in the marketing data management system of FIG. 18 will be described with reference to the flowchart of FIG. Except for the process of step S375 in the flowchart of FIG. 22, it is the same as the data check process described with reference to the flowchart of FIG.

  That is, if the received telegram command stored in the receive buffer 151a is valid, the received telegram size is normal, and the store name is registered by the processing of steps S371 to S374, in step S375, The receiving unit 221 determines whether or not position information corresponding to the authentication type set in the header part of the received message stored in the receiving buffer 221a is available. That is, if the authentication type is GPS information and base information, or any of them, the receiving unit 221 determines whether the location information includes GPS information and base information, and the authentication type is In the case of only GPS information, it is determined whether or not GPS information is included in the position information. When the authentication type is only base information, it is determined whether or not the base information is included in the position information.

  If it is determined in step S375 that the position information corresponding to the authentication type is included, the process proceeds to step S376 and proceeds to the subsequent processes. If the position information corresponding to the authentication type is not included in step S375, the process proceeds to step S378, and a return value indicating that a data abnormality has occurred is set.

  By such processing, the command of the received message is valid, the size is normal, the store name is registered, the position information is within the range, and the position information corresponding to the authentication type is included. Since the data of the received message is confirmed based on whether or not the received message is received, the received message that does not include the location information corresponding to the authentication type is not received by the third party amusement store management center 4. As a result, the marketing data is strictly processed with respect to the position information, and the accuracy of the marketing data with respect to the position information can be improved.

[Received message processing]
Next, received message specific processing will be described with reference to the flowchart of FIG. The processes in steps S391 and S392 and steps S400 to S408 and S410 in the flowchart of FIG. 23 are the same as the processes in steps S141 and S142 and steps S144 to S152 and S154 described with reference to the flowchart of FIG. Since there is, explanation is omitted.

  In step S391, the message analysis unit 222 reads the received message information in the reception buffer 221a of the reception unit 221, and in step S392, if the content is registration of position information, in step S409, the authentication type, the store name, The district name and location information are registered in the management DB 224 as a management table as shown in FIG.

  The basic information of the management table in FIG. 24 is the same as the management table in the upper part of FIG. 10, but an authentication type field is added, and further, a GSP information field and base information are provided as position information fields corresponding to the authentication type. A column is provided. The GPS information column includes a latitude column, a longitude column, and an OFFSET (offset) column from the left, and displays the latitude, longitude, and offset in the GPS information, respectively. The offset here is to specify a circular or rectangular range specified by an angle in latitude or longitude with the point specified by GPS information as the center.

  That is, for the uppermost parlor Shinjuku in FIG. 24, since only the base information is registered as the authentication type, the GPS information field is blank, and the base station is identified by the base information. IDs 1 to 4 are registered as base IDs to be transmitted. In addition, the parlor Shibuya in the middle of FIG. 24 is GPS information and base information as registered as “GPS information & base information” as an authentication type, so in the latitude column of the GPS information column, 35.69, 139.67 is registered in the longitude column, and ± 0.01 is registered in the offset column, and IDs 4 to 6 are registered as base IDs for identifying base stations in the base information. Furthermore, the parlor Nakano in the lower part of FIG. 24 has only GPS information as registered as “GPS information” as the authentication type. Therefore, in the latitude column of the GPS information column, 35.66 is displayed in the longitude column. Is 139.68, and ± 0.01 is registered in the offset column.

  Furthermore, since the GPS information is used, the district name is set in more detail by setting the maximum and minimum values for latitude and longitude as shown in the district table of FIG. May be.

  That is, in the district table in the upper part of FIG. 25, from the left, a number column, a district name column, a latitude minimum value (latitude (MIN)) column, a latitude maximum value (latitude (MAX)) column, a longitude minimum value (longitude (MIN) )) Column and maximum longitude value (longitude (MAX)) column are set, and the minimum and maximum latitude values and the minimum and maximum longitude values are set for each district. .

  In the upper part of FIG. 25, for district A, the minimum value of latitude is 35 degrees and 30 minutes, the maximum value is 35 degrees and 32 minutes, the minimum value of longitude is 136 degrees and 76 minutes, and the maximum value is 136 degrees and 77 minutes. Is registered. Similarly, for district B, the minimum latitude value is 35 degrees and 31 minutes, the maximum value is 35 degrees and 32 minutes, the minimum longitude value is 136 degrees and 77 minutes, and the maximum value is 136 degrees and 78 minutes. ing.

  As a result, as shown in the lower part of FIG. 25, a range Z1 of latitudes 35 degrees 30 minutes to 35 degrees 32 minutes and longitudes 136 degrees 76 minutes to 136 degrees 77 minutes is set as the range of district A. Similarly, a range Z2 of latitudes 35 degrees 31 minutes to 35 degrees 32 minutes and longitudes 136 degrees 77 minutes to 136 degrees 78 minutes is set as the range of the district B.

  That is, as shown in FIG. 11, it is difficult to set an accurate position corresponding to the store name only with the base station of the mobile phone, but with the setting as shown in FIG. Can be specified accurately.

  Now, the description returns to the flowchart of FIG.

  If it is not registration of position information in step S392, in step S393, the message analysis unit 222 determines whether or not the authentication type is only GPS information. If the authentication type is only GPS information, the process proceeds to step S394. move on.

  In step S394, the message analysis unit 222 determines whether the GPS information in the header part matches the GPS information registered in the management DB 224. If they match, the message analysis unit 222 considers that there is no problem with the authentication based on the position information. Then, the process proceeds to step S402. On the other hand, if the GPS information in the header part does not match the GPS information registered in the management DB 224 in step S394, it is considered that the authentication based on the position information has failed, and the process proceeds to step S408.

  If it is determined in step S393 that the authentication type is not only GPS information, the process proceeds to step S395.

  In step S395, the message analysis unit 222 determines whether or not the authentication type matches both the GPS information and the base information, and if both the GPS information and the base information match, The process proceeds to step S396.

  In step S396, the message analysis unit 222 determines whether the GPS information and base information in the header part match the GPS information and base information registered in the management DB 224. It is considered that there is no problem in authentication by information, and the process proceeds to step S400. On the other hand, if the GPS information and the base information in the header part do not match either the GPS information or the base information registered in the management DB 224 in step S396, it is considered that the authentication by the location information has failed, and the process is The process proceeds to step S408.

  If it is determined in step S395 that the authentication type does not match the GPS information and the base information, the process proceeds to step S397.

  In step S397, the message analysis unit 222 determines whether or not the authentication type is only base information. If the authentication type is only base information, the process proceeds to step S398.

  In step S398, the message analysis unit 222 determines whether or not the base information in the header part matches the base information registered in the management DB 224. If they match, the message analysis unit 222 considers that there is no problem in authentication based on the location information. Then, the process proceeds to step S400. On the other hand, if the base information in the header part does not match the base information registered in the management DB 224 in step S398, it is considered that the authentication based on the location information has failed, and the process proceeds to step S408.

  If it is determined in step S397 that the authentication type is not only base information, that is, if either GPS information or base information matches, the process proceeds to step S399.

  In step S399, the message analysis unit 222 determines whether any of the GPS information and the base information in the header part matches the GPS information and the base information registered in the management DB 224. It is considered that there is no problem in the authentication based on the position information, and the process proceeds to step S400. On the other hand, if none of the GPS information and the base information in the header part match the GPS information registered in the management DB 224 and the base information in step S399, it is considered that the authentication by the location information has failed, The process proceeds to step S408.

  With the above processing, the authentication type is switched and the marketing data is accepted by the location information or the marketing data acquisition request is accepted, so the authentication types are “base information only”, “GPS information only”, “GPS information”. Or “base information” and “GPS information and base information”, it becomes possible to switch and accept the accuracy of the position information. In addition, since it is possible to adjust the authentication accuracy of the marketing data for the location information, for example, when it is desired to improve the accuracy for the location information, the “GPS information and the base information” match, and conversely, the marketing data When it is desired to simplify the accuracy, the “base information only” may be used.

  Furthermore, since the base information is low in position accuracy, it is easy to acquire, and the GPS information is high in position accuracy but difficult to acquire.For example, only when the GPS information cannot be acquired, authentication is performed only with the base information. As long as the authentication process is performed a predetermined number of times, if the GPS information can be authenticated once, the marketing data of the corresponding store name and the marketing data acquisition request may be received. By doing in this way, it becomes possible to use it combining position accuracy and authentication accuracy in a balanced manner.

  According to the above, it is possible to improve the reliability of data aggregated for each region by improving the positional accuracy of the acquired data.

  By the way, the series of processes described above can be executed by hardware, but can also be executed by software. When a series of processing is executed by software, a program constituting the software may execute various functions by installing a computer incorporated in dedicated hardware or various programs. For example, it is installed from a recording medium in a general-purpose personal computer or the like.

  FIG. 26 shows a configuration example of a general-purpose personal computer. This personal computer incorporates a CPU (Central Processing Unit) 1001. An input / output interface 1005 is connected to the CPU 1001 via the bus 1004. A ROM (Read Only Memory) 1002 and a RAM (Random Access Memory) 1003 are connected to the bus 1004.

  An input / output interface 1005 includes an input unit 1006 including an input device such as a keyboard and a mouse for a user to input an operation command, an output unit 1007 for outputting a processing operation screen and an image of a processing result to a display device, a program and various data A storage unit 1008 including a hard disk drive for storing data, a LAN (Local Area Network) adapter, and the like, and a communication unit 1009 for performing communication processing via a network represented by the Internet are connected. Also, a magnetic disk (including a flexible disk), an optical disk (including a CD-ROM (Compact Disc-Read Only Memory), a DVD (Digital Versatile Disc)), a magneto-optical disk (including an MD (Mini Disc)), or a semiconductor A drive 1010 for reading / writing data from / to a removable medium 1011 such as a memory is connected.

  The CPU 1001 is read from a program stored in the ROM 1002 or a removable medium 1011 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, installed in the storage unit 1008, and loaded from the storage unit 1008 to the RAM 1003. Various processes are executed according to the program. The RAM 1003 also appropriately stores data necessary for the CPU 1001 to execute various processes.

  In this specification, the step of describing the program recorded on the recording medium is not limited to the processing performed in time series in the order described, but of course, it is not necessarily performed in time series. Or the process performed separately is included.

  Further, in this specification, the system represents the entire apparatus constituted by a plurality of apparatuses.

1, 1-1 to 1-n amusement store 2 biometric information management center 3 biometric information management database 4 third party amusement store management center 5 third party amusement store management database 6 biometric information management bus 7 third party amusement store management bus 8, 9 Public communication network 21 Biometric information recognition device 22 Biometric information database 24 Game store management device 26 Game table management database 27 Medium lending management device 29 Medium lending management database 30 Amusement store management information bus 31 Biometric information bus 33 Settling machine 34 Lending machine 35 Counter 36,36-1 thru 36-m Game stand 37,37-1 thru 37-m Game stand peripheral terminal 38,38-1 thru 38-m Camera 39,39-1 thru 39- (m + p + q) Image processing unit 40, 40-1 to 40-p Entrance camera 41, 41-1 to 41-q In-store camera

Claims (6)

In an information management system comprising a management device that collects data from a plurality of information processing devices and manages the total information, and distributes the total information to the plurality of information processing devices, and the plurality of information processing devices ,
The information processing apparatus includes:
Accumulation means for accumulating a face image as an accumulator face image in an accumulator database;
Acquisition means for acquiring a face image of the person to be verified from the image;
The degree of similarity between the face image of the person to be collated acquired by the obtaining unit and the face image of the person who has accumulated in the accumulating unit is calculated, and the person to be collated is calculated by comparing the degree of similarity with a predetermined threshold value. Collating means for determining whether or not the face image is the face image of the accumulator;
An analysis unit that analyzes the face image of the person to be collated and extracts the feature information of the person to be collated when the face image of the person to be collated is determined not to be a face image of the accumulator by the collating unit; ,
Position information acquisition means for acquiring a plurality of types of position information of itself;
Data transmitting means for associating the characteristic information which is the analysis result of the analyzing means, the face image of the person to be collated, a plurality of types of position information, and identification information for identifying itself, and transmitting them as data to the management device; Including
The management device
Data receiving means for receiving data transmitted from the information processing apparatus;
A management database storage unit that stores a management database in which the identification information included in the data and the plurality of types of position information are registered in association with each other;
Based on the identification information included in the data received by the data receiving means, a plurality of types of position information registered in the management database are searched and matched with the plurality of types of position information included in the data. Determination means for determining whether or not,
An information management system comprising: summing means for summing and storing the data received by the data receiving means in the aggregated information when it is determined by the judging means that they match. The information processing apparatus includes:
Request information transmitting means for transmitting a total information request for requesting total information for which data has been totaled to the management device;
Further comprising: aggregate information acquisition means for acquiring aggregate information transmitted in response to the aggregate information request;
The management device
A total information request acquisition means for acquiring the total information request transmitted from the information processing apparatus;
The management system according to claim 1, further comprising: aggregate information transmission means for transmitting the aggregate information to the information processing apparatus based on the aggregate information request. The management system according to claim 1, wherein the plurality of types of position information acquired by the position information acquiring unit includes information on base stations that can communicate with a mobile communication network and GPS information. The determination unit searches for a plurality of types of position information registered in the management database based on identification information included in the data received by the data receiving unit, and determines a plurality of types of information included in the data. When determining whether or not to match position information, when all of the plurality of types of position information match, any match, or only any match, a plurality of types of position information included in the data The management system according to claim 1, wherein the management system determines that the position information matches. An information management system comprising: a management apparatus that collects data from a plurality of information processing apparatuses and manages the total information, and distributes the total information to the plurality of information processing apparatuses; and the plurality of information processing apparatuses. There,
The information processing apparatus includes:
Accumulation means for accumulating a face image as an accumulator face image in an accumulator database;
Acquisition means for acquiring a face image of the person to be verified from the image;
The degree of similarity between the face image of the person to be collated acquired by the obtaining unit and the face image of the person who has accumulated in the accumulating unit is calculated, and the person to be collated is calculated by comparing the degree of similarity with a predetermined threshold value. Collating means for determining whether or not the face image is the face image of the accumulator;
An analysis unit that analyzes the face image of the person to be collated and extracts the feature information of the person to be collated when the face image of the person to be collated is determined not to be a face image of the accumulator by the collating unit; ,
Position information acquisition means for acquiring a plurality of types of position information of itself;
Data transmitting means for associating the characteristic information which is the analysis result of the analyzing means, the face image of the person to be collated, a plurality of types of position information, and identification information for identifying itself, and transmitting them as data to the management device; Including
The management device
Data receiving means for receiving data transmitted from the information processing apparatus;
A management database storage unit that stores a management database in which the identification information included in the data and the plurality of types of position information are registered in association with each other;
Based on the identification information included in the data received by the data receiving means, a plurality of types of position information registered in the management database are searched and matched with the plurality of types of position information included in the data. Determination means for determining whether or not,
An information management method for an information management system, comprising: summing means for summing and storing the data received by the data receiving means when totaled information is stored when the determination means considers that they match;
The information management method of the information processing apparatus includes:
An obtaining step of obtaining a face image of the person to be collated from the image in the obtaining unit;
The collation means calculates the similarity between the face image of the person to be collated acquired by the process of the acquisition step and the face image of the accumulator accumulated in the accumulation means, and calculates the similarity and a predetermined threshold value. A collation step of determining whether the face image of the person to be collated is the face image of the accumulator by comparison;
If the face image of the person to be collated is determined not to be the face image of the person to be accumulated by the process of the collation step in the analyzing means, the face image of the person to be collated is analyzed, and the characteristics of the person to be collated An analysis step to extract information;
In the position information acquisition means, a position information acquisition step of acquiring a plurality of types of position information of itself;
In the data transmission means, the characteristic information which is the analysis result in the processing of the analysis step, the face image of the person to be collated, a plurality of types of position information, and identification information for identifying itself are associated with each other as data. A data transmission step for transmitting to the management device,
The information management method of the management device is:
A data receiving step for receiving data transmitted from the information processing device in the data receiving means;
Based on the identification information included in the data received by the processing of the data reception step in the determination means, a plurality of types of position information registered in the management database are searched, and a plurality of positions included in the data are searched. A determination step of determining whether or not the position information matches the type of position information;
A summation step of adding the data received in the data reception step processing to the summation information and storing the data received in the data reception step processing when the summation means are regarded as matching by the processing in the determination step. An information management system comprising: a management apparatus that collects data from a plurality of information processing apparatuses and manages the total information, and distributes the total information to the plurality of information processing apparatuses; and the plurality of information processing apparatuses. There,
The information processing apparatus includes:
Accumulation means for accumulating a face image as an accumulator face image in an accumulator database;
Acquisition means for acquiring a face image of the person to be verified from the image;
The degree of similarity between the face image of the person to be collated acquired by the obtaining unit and the face image of the person who has accumulated in the accumulating unit is calculated, and the person to be collated is calculated by comparing the degree of similarity with a predetermined threshold value. Collating means for determining whether or not the face image is the face image of the accumulator;
An analysis unit that analyzes the face image of the person to be collated and extracts the feature information of the person to be collated when the face image of the person to be collated is determined not to be a face image of the accumulator by the collating unit; ,
Position information acquisition means for acquiring a plurality of types of position information of itself;
Data transmitting means for associating the characteristic information which is the analysis result of the analyzing means, the face image of the person to be collated, a plurality of types of position information, and identification information for identifying itself, and transmitting them as data to the management device; Including
The management device
Data receiving means for receiving data transmitted from the information processing apparatus;
A management database storage unit that stores a management database in which the identification information included in the data and the plurality of types of position information are registered in association with each other;
Based on the identification information included in the data received by the data receiving means, a plurality of types of position information registered in the management database are searched and matched with the plurality of types of position information included in the data. Determination means for determining whether or not,
A computer for controlling the information management system, comprising: summing means for summing and storing the data received by the data receiving means in the aggregated information when the judging means considers that they match;
A computer for controlling the information processing apparatus;
An obtaining step of obtaining a face image of the person to be collated from the image in the obtaining unit;
The collation means calculates the similarity between the face image of the person to be collated acquired by the process of the acquisition step and the face image of the accumulator accumulated in the accumulation means, and calculates the similarity and a predetermined threshold value. A collation step of determining whether the face image of the person to be collated is the face image of the accumulator by comparison;
If the face image of the person to be collated is determined not to be the face image of the person to be accumulated by the process of the collation step in the analyzing means, the face image of the person to be collated is analyzed, and the characteristics of the person to be collated An analysis step to extract information;
In the position information acquisition means, a position information acquisition step of acquiring a plurality of types of position information of itself;
In the data transmission means, the characteristic information which is the analysis result in the processing of the analysis step, the face image of the person to be collated, a plurality of types of position information, and identification information for identifying itself are associated with each other as data. A process including a data transmission step to be transmitted to the management device,
In a computer that controls the management device,
A data receiving step for receiving data transmitted from the information processing device in the data receiving means;
Based on the identification information included in the data received by the processing of the data reception step in the determination means, a plurality of types of position information registered in the management database are searched, and a plurality of positions included in the data are searched. A determination step of determining whether or not the position information matches the type of position information;
When the summing means determines that they match by the processing of the determination step, the summation step of adding the data received in the data reception step processing to the total information and storing it is executed. program.

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