JP2011120691A - Monitoring device and method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To suppress fraudulent utilization in various kinds of devices in a game hall. <P>SOLUTION: In the step S241, a face image information recognition device acquires a face image of a user of a game machine. In the step S241, the face image information recognition device calculates similarity between the acquired face image of the user and the face images of fraudulent persons stored in a face image information DB, and performs collation. When it is determined that the face image of the user is the face image of the fraudulent person, in the step S243, the face image information recognition device notifies a game hall management device. In the step S253, the game hall management device instructs a corresponding game machine to inhibit the hitting of game balls. On the basis of the instruction, in the step S262, the game machine inhibits the hitting of the game balls. The invention is applicable to the monitoring device. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a monitoring apparatus and method, and a program, and more particularly, to a monitoring apparatus and method, and a program that can prevent unauthorized use of devices such as gaming machines, counters, and intermediaries provided in a game store. About.

  Even now, fraud continues to occur in amusement stores represented by pachinko and pachislot stores.

  For example, you can bring in game media such as game balls and medals from an abandoned game store, or you can illegally change the trajectory of the game balls by using magnets etc. and guide them to the winning entrance to realize illegal payout The form of fraudulent behavior has changed into various forms, such as renting a ball or using a medal for rent with an illegal bill.

  Any of these fraudulent acts will reduce the sales of the amusement store, which ultimately puts pressure on the management of the amusement store.

  Therefore, game stores are taking measures such as increasing the number of employees and strengthening monitoring of fraudulent activities.

  In order to deal with these fraudulent acts, there has been proposed a technique for making a game continuation impossible state when the winning ball detector becomes abnormal (see Patent Document 1).

  Furthermore, a fraud determination device using a sensor or the like has been proposed (see Patent Document 2).

JP 2000-197731 A JP 2007-041495 A

  However, even if an employee finds fraudulent activity by an unauthorized person, there is a risk that some violent person may commit violence, so there is a risk of being injured by the violent action. In view of safety issues, it cannot be solved simply by increasing the number of employees.

  Also, even if you discover fraudulent activity, do not capture it, take a record, etc., and arrange for evidence of fraudulent activity, it takes time to record, and after discovering fraudulent activity, police and security companies, etc. Until the police officers and security guards rushed to the camp, they had to acquiesce fraud and could not always be effective.

  The present invention has been made in view of such circumstances, and in consideration of the safety aspects of employees, etc., detects illegal acts on various devices in an amusement store, and operates the device in which the illegal acts are detected. By stopping quickly, damages caused by fraud can be reduced.

  The monitoring device according to one aspect of the present invention includes a storage unit that stores a face image of an unauthorized person who illegally uses a predetermined device, an acquisition unit that acquires a face image of a user of the predetermined device, and the acquisition unit. Calculating the similarity between the face image of the user acquired by the above and the face image of the unauthorized person stored in the storage means, a matching means for matching, and the similarity as the matching result of the matching means and a predetermined level Similarity determination means for determining whether or not the user's face image is the unauthorized person's face image by comparison with a threshold value, and the similarity determination means determines that the user's face image is the unauthorized person's face image. And a prohibition instruction means for instructing the predetermined device to prohibit the operation when it is determined to be a face image.

  An image capturing unit that captures an image; a face image extracting unit that extracts a face image of the user from an image captured by the image capturing unit; and a feature amount extracting unit that extracts a feature amount from the user's face image. The collating means uses the feature amount of the user's face image acquired by the acquiring means and the unauthorized person's face image accumulated in the accumulating means. It is possible to calculate the similarity and collate the user's face image acquired by the acquisition unit with the unauthorized person's face image stored in the storage unit.

  The predetermined device may include all or one of a game machine, a counter, and a machine between the machines, and the prohibition instruction unit may include the use by the similarity determination unit. When it is determined that the person's face image is the unauthorized person's face image, when the predetermined device is the gaming table, the player is instructed to prohibit the launch of a game ball, and the predetermined device The predetermined device by instructing to prohibit the counting of the game media and instructing the reception of the valuable medium when the predetermined device is the inter-machine. Can be instructed to prohibit the operation.

  The imaging means is provided in association with each of the game machine, the counter, and the inter-machine, and can take an image including each user.

  The image pickup means images a store entrant entering from a game store entrance, the acquisition means acquires the face image of the store visitor, and the verification means acquires the acquisition means. The similarity between the face image of the store visitor and the unauthorized person's face image stored in the storage means is calculated and collated. By comparing the degree with a predetermined threshold value, it is determined whether or not the face image of the shopkeeper is the face image of the unauthorized person, and the similarity determination unit determines that the face image of the unauthorized person is present. In addition, it is possible to further provide a day visitor accumulation means for accumulating the face image of the store visitor as a face image of the visitor on the day, and the collating means includes the game table, the counter, and By imaging means provided in association with each of the inter-machines And the user of the face image extracted from the image image, by calculating the similarity between the stored facial image on the day of person entering storage means may be adapted to match.

  The monitoring method according to one aspect of the present invention includes a storage unit that stores a face image of an unauthorized person who illegally uses a predetermined device, an acquisition unit that acquires a face image of a user of the predetermined device, and the acquisition unit. Calculating the similarity between the face image of the user acquired by the above and the face image of the unauthorized person stored in the storage means, a matching means for matching, and the similarity as the matching result of the matching means and a predetermined level Similarity determination means for determining whether or not the user's face image is the unauthorized person's face image by comparison with a threshold value, and the similarity determination means determines that the user's face image is the unauthorized person's face image. When it is determined that the image is a face image, the monitoring method of the monitoring apparatus includes a prohibition instruction unit that instructs the predetermined device to prohibit the operation. Accumulation of fraudulent face images used illegally An acquisition step of acquiring a face image of a user of the predetermined device in the acquisition means; a user face image acquired by the processing of the acquisition step in the verification means; and A matching step of calculating and collating the similarity with the fraudulent face image accumulated in the processing, and a similarity and a predetermined threshold value as a matching result in the processing of the matching step in the similarity determination means By comparing the similarity determination step for determining whether the user's face image is the unauthorized person's face image by comparison and the similarity determination step in the prohibition instruction means, the user's face image is determined. Includes a prohibition instruction step for instructing the predetermined device to prohibit the operation when it is determined that the image is a face image of the unauthorized person.

  A program according to one aspect of the present invention includes a storage unit that stores a face image of an unauthorized person who illegally uses a predetermined device, an acquisition unit that acquires a face image of a user of the predetermined device, and the acquisition unit. The similarity between the acquired user's face image and the unauthorized person's face image accumulated in the accumulating means is calculated and collated, the similarity that is the collation result of the collating means, and a predetermined threshold The similarity determination means for determining whether or not the user's face image is the unauthorized person's face image, and the similarity determination means determines that the user's face image is the unauthorized person's face. If it is determined that the image is an image, the computer that controls the monitoring device including the prohibition instruction unit that instructs the predetermined device to prohibit the operation is illegally assigned to the computer in the storage unit. Accumulate unauthorized facial images An accumulating step, an obtaining step for obtaining the face image of the user of the predetermined device in the obtaining means, a user face image obtained by the processing of the obtaining step in the collating means, and the accumulation A matching step for calculating and collating the similarity with the fraudulent face image accumulated in the processing of the step, and a similarity and a predetermined threshold value as a matching result in the matching step in the similarity determination means The similarity determination step for determining whether or not the user's face image is the unauthorized person's face image, and the similarity determination step in the prohibition instruction means, When it is determined that the face image is the face image of the unauthorized person, the processing is executed including a prohibition instruction step for instructing the predetermined device to prohibit the operation. .

  In one aspect of the present invention, a face image of an unauthorized person who illegally uses a predetermined device is stored, a face image of a user of the predetermined device is acquired, and the acquired face image of the user is stored. The degree of similarity with the unauthorized person's face image is calculated and collated, and whether the user's face image is the person's face image by comparing the degree of similarity as a matching result with a predetermined threshold value. If it is determined that the face image of the user is the face image of the unauthorized person, the predetermined device is instructed to be prohibited from operating.

  In the monitoring device according to one aspect of the present invention, the accumulating means for accumulating the face image of an unauthorized person who illegally uses a predetermined device is, for example, a face image information database, and the face image of the user of the predetermined device For example, the acquisition means for acquiring a face image acquisition unit calculates a similarity between the face image of the user acquired by the acquisition means and the face image of the unauthorized person stored in the storage means. The collation means for collation is, for example, a collation unit, and whether the face image of the user is the face image of the unauthorized person by comparing the similarity as the collation result of the collation means with a predetermined threshold value. The similarity determination means for determining whether or not is, for example, a similarity determination unit, and when the similarity determination means determines that the user's face image is the unauthorized person's face image, the predetermined degree To prohibit the operation of other devices The Shimesuru inhibition instruction means, for example, firing manager of amusement shop management apparatus, counting management unit, or a cash reception management unit.

  That is, the face image of an unauthorized person is stored in the face image information database, and collated with the face image of a user using a gaming machine, a counter, or a machine, captured by a camera via an image processing unit. To determine whether or not it is an unauthorized person, and in the case of an unauthorized person, the launch management unit prohibits the launch of the game ball of the game table, the count management unit prohibits the counting of the counter, or Cash receipt management department prohibits acceptance of cash.

  As a result, it is possible to suppress fraud by stopping the operation of each device when it is determined by the face image that the person is an unauthorized person.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to suppress the unauthorized use in the various apparatuses in a game store.

It is a figure which shows the structure of one Embodiment of the monitoring system to which this invention is applied. It is a figure which shows the example of installation of the camera of FIG. It is a figure which shows the example of installation of the camera of FIG. It is a figure which shows the example of installation of the camera of FIG. It is a figure which shows the example of installation of the camera of FIG. It is a figure which shows the example of installation of the camera of FIG. It is a figure which shows the example of installation of the camera of FIG. It is a figure which shows the example of installation of the entrance camera and shop camera of FIG. It is a figure explaining the structural example of the image processing unit of FIG. It is a figure explaining the structural example of the face image information recognition apparatus of FIG. It is a figure explaining the structural example of the game shop management apparatus of FIG. It is a figure explaining the structural example of the game stand of FIG. It is a figure explaining the structural example of the counter of FIG. It is a figure explaining the structural example of the inter-vehicle machine of FIG. It is a flowchart explaining a game machine management DB registration process. It is a figure explaining game machine management DB. It is a flowchart explaining a game ball | bowl launch management process. It is a figure explaining the structural example of a face image information database. It is a flowchart explaining a count abnormality registration process. It is a flowchart explaining a hill machine abnormality registration process. It is a flowchart explaining a fraud prevention process. It is a flowchart explaining entrance camera image processing. It is a flowchart explaining game machine camera image processing. It is a flowchart explaining a counter camera image process. It is a flowchart explaining an inter-camera camera image process. And FIG. 11 is a diagram illustrating a configuration example of a 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.

  In other words, the monitoring device according to one aspect of the present invention includes a storage unit (for example, the face image information DB 22 in FIG. 10) that stores a face image of an unauthorized person who illegally uses a predetermined device, and a user of the predetermined device. Acquisition means (for example, the face image acquisition unit 221 in FIG. 10), a user's face image acquired by the acquisition means, and an unauthorized person's face image stored in the storage means The user's face image is calculated as a result of comparison between the matching means for calculating and matching the similarity (for example, the matching unit 222 in FIG. 10) and the similarity that is the matching result of the matching means with a predetermined threshold. Similarity determination means (for example, the similarity determination unit 233 in FIG. 10) for determining whether or not the face image of the user is the face image of the unauthorized person by the similarity determination means. If it is determined that there is a Te, including inhibition instruction means for instructing to inhibit the operation (e.g., firing managing unit 254c of FIG. 11, the count management unit 256b, and the cash reception management section 255b) and a.

  Image capturing means for capturing an image (for example, the camera 38 in FIG. 10) and face image extracting means for extracting the face image of the user from the image captured by the image capturing means (for example, the face image extracting section in FIG. 9). 202) and a feature amount extraction unit (for example, a feature amount extraction unit 231 in FIG. 10) that extracts a feature amount from the face image of the user. The degree of similarity is calculated using the feature amount of the user's face image acquired by the acquisition unit and the unauthorized person's face image stored in the storage unit, and the user's face acquired by the acquisition unit The image and the unauthorized person's face image stored in the storage means can be collated.

  The monitoring method according to one aspect of the present invention includes a storage unit that stores a face image of an unauthorized person who illegally uses a predetermined device, an acquisition unit that acquires a face image of a user of the predetermined device, and the acquisition unit. Calculating the similarity between the face image of the user acquired by the above and the face image of the unauthorized person stored in the storage means, a matching means for matching, and the similarity as the matching result of the matching means and a predetermined level Similarity determination means for determining whether or not the user's face image is the unauthorized person's face image by comparison with a threshold value, and the similarity determination means determines that the user's face image is the unauthorized person's face image. When it is determined that the image is a face image, the monitoring method of the monitoring apparatus includes a prohibition instruction unit that instructs the predetermined device to prohibit the operation. Accumulation of fraudulent face images used illegally Step (eg, step S63 in FIG. 17, step S125 in FIG. 19, step S193 in FIG. 20), and acquisition step (step S241 in FIG. 23) of acquiring the face image of the user of the predetermined device in the acquisition unit. , Step S281 in FIG. 24, step S311 in FIG. 25), and the face image of the user acquired by the process of the acquisition step in the collating means, and the face image of the unauthorized person stored by the process of the storage step And a collation result (step S242 in FIG. 23, step S282 in FIG. 24, step S312 in FIG. 25) for collating, and a collation result in the collation step in the similarity determination unit. It is determined whether or not the user's face image is the unauthorized person's face image by comparing a certain degree of similarity with a predetermined threshold value. 23. Step S242 in FIG. 23 (step S242 in FIG. 23, step S282 in FIG. 24, step S312 in FIG. 25) and the processing of the similarity determination step in the prohibition instructing means make the user's face image the unauthorized person. If it is determined that the face image is, a prohibition instruction step (step S253 in FIG. 23, step S293 in FIG. 24, step S323 in FIG. 25) for instructing the predetermined device to prohibit the operation; including

[Configuration of monitoring system]
FIG. 1 is a diagram showing a configuration example of an embodiment of a game shop monitoring system according to the present invention. The configuration of the game store in FIG. 1 may be regarded as a monitoring system including a plurality of devices, or the game store itself may be regarded as a monitoring device including various devices.

  The game stores 1-1 to 1-n are so-called pachinko stores, pachislot stores, or casino stores. These amusement stores 1-1 through 1-n are affiliated stores or affiliated stores of the face image information management center and the third party amusement store management center, and it is necessary to manage a plurality of stores in an integrated manner. It is a store. The game stores 1-1 to 1-n are connected by a face image information management bus 6 and a third party game store management bus 7, and public communication line networks 8, 9 represented by the bus, the Internet, and the like. Via each other, face image information and third-party amusement store management information are exchanged. 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 face image information management bus 6 mainly functions as a transmission path for distributing face image information managed by the face image information recognition device 21 of each game store 1. The third-party game store management bus 7 functions as a transmission path for distributing medium lending management information managed mainly by the medium lending management device 27 of each amusement store 1.

  The face image information management center 2 is a server used by a business operator who manages the face image information management center, and is a registered game managed by a face image information management database (hereinafter also referred to as DB) 3. In addition to updating the player DB based on the unregistered player DB generated by each gaming store 1, the updated latest registered player DB is distributed to the face image information recognition device 21 of each gaming store 1.

  The third-party amusement store management center 4 is a server used by a business operator that manages and operates the third-party amusement store management center, and the medium lending management managed by the third-party amusement store management database (DB) 5 In addition to updating the information DB based on the information supplied from each game store 1, the updated latest medium lending management information is distributed to the medium lending management device 27 of each game store 1.

  The face image information recognition device 21 includes cameras 38-1 to 38-m, 38-s, 38-t, 38-u, entrance cameras 40-1 to 40-p, and in-store cameras 41-1 to 41-q. Information of the face image extracted from the captured image by the image processing units 39-1 to 39- (m + p + q), 39-s, 39-t, 39-u and supplied via the face image information bus 31. Based on the above, the face image registered in the face image information database 22 is collated and if it matches, the mobile phone 20 is notified of the registered player's visit, or a CRT (Cathode Ray Tube) or LCD (Liquid Crystal) Display) or the like. When the face image information database 22 is collated with the face image registered in advance in the face image information database 22 and does not match, the face image information recognition device 21 accesses the face image information management database 3 to register as an unregistered player DB. Register with.

  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 situation such as information on payout of the game stand 36 or payout of medals, call information of the players on each of the game stands 36-1 to 36-m, or occurrence of an error. The execution result is executed, and the execution result is displayed on the display unit 25 such as a CRT or LCD. The game store management device 24 identifies the information supplied from each of the counter 35, the game machines 36-1 to 36-m, and the machine between the machines 37-1 to 37-m (for example, identification information (for example, The game table management database 26 manages the game table number or game table ID) in association with each other.

  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, the lending machine 34, and the inter-bank machine 37. When the medium lending management information registered in the medium lending management database 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. Send to. 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 rented game media to the medium lending management device 27 together with information such as the received 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 check-out vending machine 33 supplies the medium lending management device 27 with information on the frequency of the prepaid card sold and information on the amount paid. Further, the settlement vending machine 33 settles and pays out cash on the basis of information on the remaining number of game media lent as a frequency such as a prepaid card. At this time, the checkout vending machine 33 supplies the information on the remaining number of prepaid cards and the information on 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 counter 35 is provided with a camera 38-u in association with it, and an image around the face of the player who uses the counter 35 is captured and supplied to the face image information recognition device 21. The counter 35 determines whether or not the player is an unauthorized person based on the face image of the player by the face image information recognition device 21 or a game at the game store of the day stored in association with the face image. Depending on the determination result based on the information, the counting is executed or stopped based on an instruction to permit or prohibit the counting supplied from the game shop management device 24. In addition, in FIG. 1, although the example which has one counter 35 is shown, other numbers may be sufficient.

  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. Each game table 36 is provided with a camera 38 associated therewith, and an image around the face of the player of each game table 36 is taken, and the face together with the game table identification information (game table number or game table ID). It is supplied to the image information recognition device 21. In addition, the game stand 36 counts the number of game balls fired (in the case of medals, the number of inserted medals) and the number of payouts, and supplies them to the game store management device 24.

  The game table 36 is based on the determination result of whether or not the player is an unauthorized person based on the face image of the player by the face image information recognition device 21, or information on the number of shot balls and the number of payout balls by the game store management device 24 Based on the result of the determination of the presence or absence of fraud based on the permission or prohibition instruction for the launch of the game ball supplied from the game store management device 24 (in the case of a medal, whether or not to accept the medal), the launch of the game ball (Medal reception) is executed or stopped.

  The inter-machines 37-1 to 37-m are provided corresponding to the game machines 36-1 to 36-m, and accept a prepaid card or cash and pay out game balls or medals. The pedestal machine 37 determines whether the inserted cash is true or false and accepts it only if it is a genuine note. An image around the face of the player using the inter-machine 37 that is captured by the camera 38 is supplied to the face image information recognition device 21 together with the game table identification information (game table number or game table ID).

  According to the determination result of whether or not the interim machine 37 is an unauthorized person based on the face image of the player by the face image information recognition device 21, permission to accept cash supplied from the game shop management device 24, Alternatively, the cash acceptance is executed or stopped based on the prohibition instruction.

[Arrangement of Camera 38, Entrance Camera 40, and In-Store Camera 41]
For example, as shown in FIG. 2, the cameras 38-1 to 38-m are arranged below the table display lamps 61-1 to 61-4 provided on the respective upper sides of the game tables 36-1 to 36-4. As shown in FIG. 3, a face image may be taken so that the player can take an image within the reading range δ. (Furthermore, it can be used as a corresponding machine ID).

  Further, for example, as shown in FIG. 4, the cameras 38-1 to 38-m are provided with convex portions 71-1 to 71-4 on the interpolators 37-1 to 37-4, and are shown in FIG. As described above, it may be provided so that a player's face image can be captured within the reading range θ.

  Further, for example, as shown in FIG. 6, the cameras 38-1 to 38-m may be provided at the center of the game table 36 (on the board surface of the game table 36) to take an image. That is, by installing the camera 38 in the installation unit 81 of FIG. 6, the player is imaged within the reading range φ as shown in FIG.

  The camera 38-t is provided in a direction that can capture the face image of the player who uses the rental machine 34, and the camera 38-s can capture the face image of the player who uses the checkout vending machine 33. The camera 38-u is provided in a direction in which a face image of a player who uses the counter 35 can be captured. The camera 38-u includes a lending machine 34, a checkout machine 33, and a counter 35, respectively. A face image of the player to be used can be taken.

  The entrance cameras 40-1 to 40-p and the in-store cameras 41-1 to 41-q are installed at entrances and predetermined places in the store of the amusement store 1, and imaged units 39- (m + 1) to 39- (m + p + q).

  The entrance cameras 40-1 to 40-p and the in-store cameras 41-1 to 41-q are set as shown in FIG. 8, for example. FIG. 8 shows an installation example of the entrance cameras 40-1 to 40-p and the in-store cameras 41-1 to 41-q in the game store 1.

  That is, in FIG. 8, entrances 112-1 to 112-3 are provided, and the entrance cameras 40-1 to 40-3 image players who enter the store from each entrance and exit 112. Further, the in-store cameras 41-1 to 41-10 are set at positions at which both surfaces of the island facilities 111-1 to 111-5 can be imaged in a row. The island facilities 111 are provided with game machines 36 on both sides, that is, so as to sandwich the island facilities 111 in the vertical direction in the figure. Since the camera 38, the entrance camera 40, and the in-store camera 41 all have a pan / tilt / zoom function, the in-store cameras 41-1 to 41-10 are arranged as shown in FIG. All players who play at 36 can take an image with any of the in-store cameras 41-1 to 41-10.

  Therefore, as shown in FIG. 8, in the game store 1, the player who visits the store, the player who plays the game on the gaming table 36, and the lending machine 34, the checkout machine 33, the counter 35, and the intermediary machine 37. A camera 38, an entrance camera 40, and an in-store camera 41 are installed so that almost all of the actions that the player is supposed to take in the game store 1 such as a player who uses the game can be monitored.

[Configuration Example of Image Processing Unit 39]
Next, a configuration example of the image processing unit 39 will be described with reference to FIG.

  The image acquisition unit 201 acquires an image captured by the camera 38 (or the entrance camera 40 or the in-store camera 41) and supplies it to the face image extraction unit 202. The face image extraction unit 202 extracts a rectangular image composed of a face image from the image supplied from the image acquisition unit 201 using a pattern such as the arrangement of the parts constituting the face, and supplies the rectangular image to the transmission unit 203. The transmission unit 203 transmits the face image to the face image information recognition device 21.

[Configuration Example of Face Image Information Recognition Device 21]
Next, a configuration example of the face image information recognition device 21 will be described with reference to FIG.

  The face image information recognition device 21 includes a face image acquisition unit 221, a collation unit 222, a communication unit 223, an operation unit 224, and a database management unit 225. The face image information recognition device 21 acquires face images from the camera 38, the entrance camera 40, and the in-store camera 41 and collates them with face images registered in the face image information DB 22.

  The face image acquisition unit 221 acquires the face image supplied from the image processing unit 39 and supplies it to the collation unit 222 and the database management unit 225. The collation unit 222 collates the face image acquired by the face image acquisition unit 221 with the registered player's face image registered as an unauthorized person's face image in the face image information DB 22, and selects a candidate having a high degree of similarity. If there is such a face image, it is displayed on the display unit 23, and the communication unit 223 is controlled and transmitted to the game store management device 24.

  More specifically, the feature amount extraction unit 231 of the matching unit 222 extracts a feature amount for identifying a face image, and supplies the feature amount together with the face image to the similarity calculation unit 232. The similarity calculation unit 232 extracts the feature amount of the registered player's face image registered in the face image information DB 22 (or the current day DB 22a), and the feature amount supplied from the feature amount extraction unit 231. Is used to determine the similarity to the face images of all registered players registered in the face image information DB 22 (or the current day DB 22a), and the face image supplied from the face image acquisition unit 221 and the similarity The face image with the highest degree is supplied to the similarity determination unit 233. More specifically, the similarity calculation unit 232, for example, based on various facial feature amounts such as the ratio between the distance between the eyes, the distance from the chin to the forehead, and the length from the chin to the nose, Each difference sum, average ratio, or ratio sum is obtained as the similarity.

  The similarity determination unit 233 accumulates the similarity supplied from the similarity calculation unit 232 in the buffer 233a, compares the similarity with the face image with the highest similarity with a predetermined threshold, and obtains a comparison result. Based on this, when the registered face image that is the highest level is similar to the face image supplied from the face image acquisition unit 221 (in the case of similarity indicating that the similarity is higher, When it is higher than a predetermined threshold, or when the similarity is lower, the similarity is lower than the predetermined threshold), the highest-level face image and similarity information are displayed. The data is supplied to the unit 23 and displayed, and then supplied to the communication unit 223 and the database management unit 225. The communication unit 223 supplies the amusement store management apparatus 24 with face image information having the highest similarity and a similarity higher than a predetermined threshold.

  The operation unit 224 includes buttons, a mouse, a keyboard, and the like. The operation unit 224 is operated when instructing various operations, and supplies operation results to the communication unit 223. The communication unit 223 includes an Ethernet board and the like, and exchanges various information.

  The database management unit 225 registers the face image of the unauthorized person in the face image information DB 22 and registers only the face image of the player who visited the store on the day of executing the matching process in the DB 22a. In other words, the database management unit 225 controls the registration unit 225a to pick up an image by the corresponding camera 38 when the gaming machine management device 24 detects fraud in the counter 35, the gaming machine 36, or the interstitial machine 37. The registered face image is registered in the face image information DB 22. Further, the database management unit 225 uses the entrance camera 40 based on the face image supplied from the face image acquisition unit 221 and the information attached to the face image to identify the camera that captured the face image. If the captured face image matches the face image existing in the face image information DB 22, the day registration unit 225b is controlled to register the face image in the day DB 22a. That is, the day registration unit 225b registers only the face image of the player who visited the store on the day of the matching process in the day DB 22a among the face images registered in the face image information DB 22. By configuring the DB 22a for the day in this way, the face image supplied from the camera 38 is one of the players who are visiting the store. By using only the person registered in the DB 22a, the number of collation processes can be reduced and the collation result can be obtained quickly.

  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 each feature amount between the captured face image and the face image registered as the registered player, the similarity determination unit 233 determines that the similarity is a threshold value. If it is smaller than that, the captured face image is regarded as a registered player's face image, or in the case of an average ratio or the like, it is greater than or equal to a predetermined value in the range of 0 to 1 and close to 1. If it is a value, it can be considered that they are the same person.

[Configuration Example of Amusement Store Management Device 24]
Next, a configuration example of the game shop management device 24 will be described with reference to FIG.

  The gaming store management device 24 includes a control unit 251, a communication unit 252, a gaming table management DB management unit 253, a gaming table monitoring unit 254, an inter-device monitoring unit 255, and a counter monitoring unit 256. The game store management device 24 monitors the operating states of the counter 35, the game table 36, and the table machine 37 based on information from the counter 35, the game table 36, and the table machine 37, and In addition to registering it in the table management DB 26, it is instructed to permit or prohibit counting, launching game balls (medal reception), and cash reception.

  The control unit 251 controls the overall operation of the game store management device 24. The control unit 251 controls the DB registration instructing unit 251a, and controls the game table management DB management unit 253 based on the monitoring results from the game table monitoring unit 254, the inter-device monitoring unit 255, and the counter monitoring unit 256. On the other hand, an instruction to register or update the game machine management DB 26 is given. The communication unit 252 includes an Ethernet board and the like, and exchanges various types of information.

  In accordance with the instruction content from the DB registration instruction unit 251a of the control unit 251, the game table management DB management unit 253 stores a game record in which the operation status of the game table 36 is associated with the face image of the player in the game table management DB 26. Register or update as a database indicating

  The gaming table monitoring unit 254 operates abnormally on the gaming table 36 based on the information on the number of shot balls, the number of paid-out balls, and the game content supplied from the control unit 251 via the communication unit 252. To monitor. More specifically, the gaming table monitoring unit 254 includes an IN-OUT determination unit 254a, a game content determination unit 254b, and a launch management unit 254c. The IN-OUT determination unit 254a obtains the difference between the number of shot balls and the number of payouts from the game table 36, and determines whether or not an abnormal payout has occurred in the game table 36 based on a comparison with a predetermined threshold value. To do. The game content determination unit 254b needs to determine the game content of the game table 36 when determining whether there is an abnormal payout in the IN-OUT determination unit 254a. Which game content is determined. When an abnormality is detected in the gaming table 36, the launch management unit 254c notifies the control unit 251 that an abnormality has occurred, and also releases a game ball (pachislot) to the gaming table 36 in which the abnormality has occurred. In this case, the reception of medals is prohibited, and in other cases, it is requested to give an instruction to permit the launch of game balls (in the case of pachislots, the reception of medals).

  The intermediary machine monitoring unit 255 monitors the operation abnormality of the intermediary machine 37 based on the determination result of the authenticity of the cash inserted from the intermediary machine 37 supplied from the control unit 251 via the communication unit 252. . More specifically, the inter-machine monitoring unit 255 includes a true / false determination result determination unit 255a, and determines whether or not abnormal cash is inserted from the authenticity determination result from the inter-machine 37. To do. When an abnormality of the intermediary machine 37 is detected, the cash reception management unit 255b notifies the control unit 251 that an abnormality has occurred, and the cash reception management unit 255b is input to the intermediary machine 37 in which the abnormality has occurred. Cash reception is prohibited, and in other cases, a request is made to give an instruction to accept the input cash.

  The counter monitoring unit 256 determines an abnormality determination result based on whether or not a game ball (medal) is inserted by a player without a game record from the counter 35 supplied from the control unit 251 via the communication unit 252. Based on the above, the operation abnormality of the counter 35 is monitored. More specifically, the counter monitoring unit 256 includes a counting result abnormality determination unit 256a. Based on the abnormality determination result from the counter 35, an abnormality caused by the insertion of a game ball (medal) from a player who has no game record. It is determined whether a correct count has been made. When an abnormality of the counter 35 is detected, the count result abnormality determination unit 256a notifies the control unit 251 that an abnormality has occurred, and prohibits the counter 35 in which the abnormality has occurred from counting. , Otherwise, request to give instructions to allow counting.

[Configuration example of game stand 36]
Next, with reference to FIG. 12, a configuration example of the gaming table 36 will be described. The game table 36 is a so-called pachinko machine, and includes a control unit 271, a communication unit 272, a game ball launch control unit 273, a game ball launch device 274, a shot ball count unit 275, a payout ball count unit 276, and a game content control. Part 277 is provided. Of course, the game stand 36 may be a so-called pachislot stand. However, in the following description, the game stand 36 is basically assumed to be a pachinko stand and applied to the pachislot stand as necessary. A description will be added for the case example.

  The control unit 271 controls the entire operation of the gaming table 36, and provides information on permission or prohibition of game ball launch (medal reception) supplied from the game store control device 24 via the communication unit 272. This is supplied to the ball launch control unit 273. The control unit 271 also includes information on the number of shot balls supplied from the number of shot balls counting unit 275, information on the number of balls paid out by the number of paying ball count unit 276, and information on game contents supplied from the game content control unit 277. Is supplied to the game store management device 24 by controlling the communication unit 272.

  The communication unit 272 includes an Ethernet board and the like, and exchanges various information with the game shop management device 24. The game ball launch control unit 273 controls the permission or prohibition of launch of the game ball launch device 274 that launches a game ball into the board surface of a game stand (not shown). The number-of-balls counting unit 275 counts the number of game balls (the number of received medals) emitted from the game ball launching device 274, and supplies information on the counted number of launched game balls to the control unit 271. The number-of-payout ball counting unit 276 determines the number of game balls (paid-out) paid out from an upper plate or lower plate (not shown) when the launched game balls enter the winning opening (when the patterns of the slots are aligned). The number of medals issued) is counted and the information is supplied to the control unit 271. The game content control unit 277 controls the game content indicating any one of the normal game, the big hit, or the established fluctuation in the game table 36, and supplies the game content information at that time to the control unit 271.

[Configuration Example of Counter 35]
Next, a configuration example of the counter 35 will be described with reference to FIG. The counter 35 counts the game balls or medals that are paid out when the game table 36 is played, and outputs the counting result to a receipt or the like.

  The counter 35 includes a control unit 291, a communication unit 292, a game medium receiving unit 293, and a count counter 294. The control unit 291 controls the entire operation of the counter 35, and obtains information on permission or prohibition of counting supplied from the game shop management device 24 via the communication unit 292 including an Ethernet board or the like. Thus, the operation of the game medium receiving unit 293 is controlled. In addition, the control unit 291 controls the communication unit 292 to cause the amusement shop management apparatus 24 to supply the counting result supplied from the counting counter 294.

  When an instruction to permit counting is given from the control unit 291, the game medium receiving unit 293 receives a game medium such as a game ball or a medal that is to be counted and is supplied to the count counter 294. . In addition, when an instruction to prohibit counting is given from the control unit 291, the game medium receiving unit 293 does not accept even when a game medium is inserted by the player, and does not supply it to the count counter 294. As a result, when counting is prohibited, the inserted game media will not be counted.

[Configuration example of inter-machine 37]
Next, with reference to FIG. 14, a configuration example of the inter-machine 37 is described. In the case where the machine 37 accepts the insertion of cash and is a genuine note based on the authenticity determination, the gaming machine rents out from the gaming machine 36 according to the amount of the inserted cash, and the amount of money inserted. The amount of the game balls lent out is reduced, the balance points are recorded on the prepaid card, and when the return of the prepaid card is instructed, the prepaid card on which the balance points are recorded is paid out.

  The pedestal machine 37 includes a control unit 311, a communication unit 312, a cash insertion / dispensing control unit 313, a cash insertion / dispensing unit 314, a true / false determination unit 315, and a prepaid card dispensing control unit 316.

  The control unit 311 controls the entire operation of the intermediary machine 37, acquires an instruction to permit or prohibit cash acceptance from the amusement shop management device 24 via the communication unit 312 formed of an Ethernet board, and The instruction to output is output to the cash-in / out control unit 313. In addition, the control unit 311 confirms that a fake ticket has been inserted through the communication unit 312 if the result is a fake ticket among the authenticity determination results determined by the authenticity determination unit 315 when cash is inserted. The game store management device 24 is notified. In addition, when an operation unit (not shown) is operated and the payout of the prepaid card is instructed, the control unit 311 controls the prepaid card payout control unit 316 to add points for the balance to the prepaid card, Let the prepaid card be paid out.

  The cash insertion / dispensing control unit 313 controls the reception of cash by the cash input / dispensing unit 314 in response to an instruction to accept or prohibit the input of cash supplied from the control unit 311, and the reception permission is instructed. The cash that has been thrown in is accepted, and the cash that has been thrown in is returned when the prohibition of acceptance is instructed.

  The cash insertion / withdrawal unit 314 supplies the inserted cash to the authenticity determination unit 315 when accepting the inserted cash. The authenticity determination unit 315 extracts information that is the characteristic amount of the supplied cash, determines whether the inserted cash is a genuine note or a false note, and determines the determination result as a control unit 311. To supply. At this time, if it is a fake ticket, the control unit 311 immediately supplies an instruction for prohibiting acceptance to the cash-in / out control unit 313. In response to this instruction, the cash-in / out control unit 313 causes the cash-in / out unit 314 to pay out the inserted cash. Further, if it is a genuine note, the control unit 311 controls the prepaid card payout control unit 316 to pay out the game medium from the game stand 36 and reduce the amount of money paid out from the amount of cash inserted. Record on a prepaid card.

[Game management database registration process]
Next, the gaming machine management DB registration process will be described with reference to the flowchart of FIG. In addition, although the case where the game stand 36 is what is called a pachinko stand will be described here, as a matter of course, it may be a pachislot stand.

  In step S <b> 1, the number-of-balls counting unit 275 of the gaming table 36 counts the number of game balls launched by the game ball launching device 274 and supplies it to the control unit 271.

  In step S <b> 2, the payout ball number counting unit 276 of the game table 36 counts the number of game balls paid out from the game table 36 and supplies the counted number to the control unit 271.

  In step S3, the game content control unit 277 supplies the current game content information to the control unit 271.

  In step S4, the control unit 271 determines whether or not a predetermined time has elapsed. For example, if the predetermined time has not elapsed, the process returns to step S1. That is, the processes in steps S1 to S4 are repeated until a predetermined time has elapsed. During this time, the shot ball count unit 275 and the payout ball count unit 276 continue to count the number of shot balls and the payout ball, and the game content control unit 277 outputs game content information to the control unit 271. to continue.

  In step S4, for example, when it is determined that a predetermined time has elapsed, in step S4, the control unit 271 is supplied from the number of fired balls and the number of paid-out balls count 276 supplied from the number of shot balls counting unit 275. Each information of the number of paid-out balls and the game content supplied from the game content control unit 277 is supplied to the game store management device 24 by controlling the communication unit 272. At this time, the transmitting unit 272 attaches information (game table ID or the like) for identifying the game table 36 in association with the information on the number of shot balls, the number of paid-out balls, and the game content, and sends it to the game store management device 24. Supply.

  In other words, the game table 36 continues to supply the game store management device 24 with information on the number of balls to be fired, the number of balls to be paid out, and game contents that are sequentially accumulated at predetermined time intervals.

  On the other hand, in step S <b> 11, a camera 38 provided corresponding to the game table 36 captures images and sequentially supplies them to the image processing unit 39.

  In step S <b> 12, the image acquisition unit 201 acquires an image supplied from the camera 38 and supplies the acquired image to the face image extraction unit 202.

  In step S13, the face image extraction unit 202 extracts the player's face image from the supplied image. More specifically, the face image extraction unit 202 extracts a face image from, for example, an arrangement of a characteristic part such as an eye or a nose, where the skin is exposed from the color of the captured image.

  In step S14, the face image extraction unit 202 determines whether or not the face image can be extracted by the process of step S13. For example, if the face image cannot be extracted, the process returns to step S11. That is, when the player does not exist or when the face image cannot be extracted because the face is turned sideways or faced down, the process returns to step S11 until the face image can be extracted. The processes in steps S11 to S14 are repeated.

  For example, if it is determined in step S14 that a face image has been extracted, the face image extraction unit 203 supplies the extracted face image to the transmission unit 203 in step S15. The transmission unit 203 transmits the face image supplied from the face image extraction unit 202 to the face image information recognition device 21 and the amusement shop management device 24. At this time, the transmission unit 203 adds information such as a camera ID for individually identifying the camera 38, the entrance camera 40, or the in-store camera 41, information on transmission time, and the like to the face image to recognize the face image information recognition device 21. Send to.

  That is, the face image extracted from the images taken by the camera 38, the entrance camera 40, and the in-store camera 41 by the above processing is always the face image information recognition device 21 and the amusement store together with the camera ID as identification information. It continues to be supplied to the management device 24.

  In step S21, the DB registration instruction unit 251a of the control unit 251 of the game store management device 24 controls the communication unit 252, and information on the number of balls launched, the number of payout balls, and game content has been supplied. The same processing is repeated until it is transmitted. In step S21, for example, when the information of the number of shot balls, the number of payout balls, and the game content is transmitted from the gaming table 36 by the process of step S5, the process proceeds to step S22.

  In step S <b> 22, the DB registration instruction unit 251 a controls the communication unit 252 to acquire the transmitted number of shot balls, number of paid-out balls, and game content information. Further, the DB registration instructing unit 251a controls the communication unit 252, and has transmitted information on the number of shot balls, the number of paid-out balls, and game contents among the face image information supplied from the image processing unit 39. Information on the face image captured by the camera 38 (or the entrance camera 40 or the in-store camera 41) having the camera ID corresponding to the information for identifying the game table 36 is acquired.

  In step S23, the DB registration instructing unit 251a gives the game table management DB management unit 253 the information for identifying the game table 36, the face image, the number of shot balls, the number of paid-out balls, and the game content information. To register (update). Based on this instruction, the gaming table management DB management unit 253 associates the face table with the number of shot balls, the number of paid-out balls, and the contents of the game for the corresponding gaming table 36 of the gaming table management DB 26. As a record, for example, it is registered (updated) in the game machine management DB 26 as shown in FIG.

[Configuration example of the game table management DB 26]
Here, with reference to FIG. 16, the structural example of game machine management DB is demonstrated.

  In FIG. 16, information of a gaming machine management DB managed for each gaming machine is shown. In the gaming machine management DB of FIG. 16, the gaming machine management DB 26 of the gaming machine 36 whose gaming machine ID is 0001 is shown. Further, in the game table management DB 26 of FIG. 16, from the left, the face image, the time, the cumulative number of balls to be fired, the cumulative number of balls to be paid, the number of balls to be fired most recently, the number of balls to be most recently paid, the current game content, the cumulative game content (big hit) , And cumulative game contents (probability change: establishment change is in progress) are provided.

  As the face image item, the acquired face image is registered in step S22. The time item indicates the time when the gaming machine management DB 26 is updated. In FIG. 16, from the top, 10:00, 11:00, 12:00, 13:00, 14:00 ... and it is shown that it is updated every hour. Here, for convenience of explanation, such a time interval is used, but in reality, it is managed at a shorter time interval, for example, from several seconds to several minutes. In the item of accumulated ball number, the accumulated ball number of the supplied shot balls is registered. In FIG. 16, 15152, 22783, 36111, 48523... The number of balls accumulated at each time of 00, 12:00, and 13:00 is recorded. In the item of accumulated payout balls, the cumulative number of payout balls supplied is registered, and in FIG. 16, 7011, 14531, 21810, 32315, and so on from the top in order, 10:00, 11: The number of balls accumulated at each time of 00, 12:00, and 13:00 is recorded.

  In the item of the most recently fired ball number, the number of balls fired in the latest few minutes is registered. In FIG. 16, 120, 105, 122, 119... Information for the last few minutes at 11:00, 12:00, and 13:00 is recorded. In the item of the most recently paid out balls, the number of balls paid out in the most recent minutes is registered. In FIG. 16, 15, 415, 13, 106... Information for several minutes at 11:00, 12:00, and 13:00 is recorded. In the item of the current game content, information on the game content at the time when the gaming machine management DB 26 is updated is registered. In FIG. 16, from the top, normal, big hit, normal, and probability change are registered. , 11:00, 12:00, and 13:00, it is shown that the normal gaming state, the big hit, the normal gaming state, and the established variation state. The cumulative game content (big hit) item shows the number of cumulative big hits at the times of 10:00, 11:00, 12:00, and 13:00, 3 times, 7 times, and 10 times, respectively. , 12 times. In the cumulative game content (probability change) item, the number of times that the cumulative variation state at each time of 10:00, 11:00, 12:00, and 13:00 has been entered is shown. 6 times, 7 times, and 11 times.

  That is, for the cumulative number of balls to be fired, the cumulative number of balls to be paid out, and the cumulative game content, the difference in the cumulative number of information at each time is the number of occurrences per time. Further, since each piece of information is registered in association with the face image and time, it is specified that the face image at each time is the player at that time. In FIG. 16, the information at 14:00 is not registered, but this indicates that there is no player.

  As described above, as shown in FIG. 16, the game record associated with the face image of the player at a predetermined time interval is stored in the game table management DB 26 by the game table management DB registration process. Will be registered sequentially.

[Game ball launch management process]
Next, the game ball launch management process will be described with reference to the flowchart of FIG.

  In step S51, the gaming table monitoring unit 254 determines whether or not a predetermined time has elapsed, and repeats the same processing until the predetermined time has elapsed. For example, when it is determined in step S51 that a predetermined time has elapsed, the process proceeds to step S52.

  In step S52, the gaming machine monitoring unit 254 sets one of the unprocessed gaming machines 36 as a processing target gaming machine.

  In step S53, the gaming machine monitoring unit 254 accesses the gaming machine management DB 26 and reads the gaming machine management information of the gaming machine 36 to be processed. Then, the gaming table monitoring unit 254 controls the IN-OUT determination unit 254a to determine whether or not the difference between the most recently paid out ball number and the most recently launched ball number is greater than a predetermined threshold th. In step S53, for example, when the difference between the number of recently paid out balls and the number of recently fired balls is larger than a predetermined threshold th, the process proceeds to step S54.

  In step S54, the gaming table monitoring unit 254 controls the gaming content determination unit 254b, and the gaming content is in a big hit or probable based on the gaming table management information of the gaming table 36 that is the processing target. To determine. In step S54, for example, if the game content is not a big hit or is not being probable, the number of shot balls is abnormal with respect to the number of shot balls, even if the big hit is not being established, and an illegal payout is made. The game table monitoring unit 254 notifies the control unit 251 that an abnormality has occurred in the game table 36 to be processed. Based on this notification, the control unit 251 controls the communication unit 252 to send information indicating that an abnormality has occurred to the face image information recognition device 21 together with information on the gaming table 36 to be processed. Notice.

  On the other hand, in step S61, the database management unit 225 of the face image information recognition device 21 controls the communication unit 223 to determine whether or not an abnormality has been notified from the gaming store management device 24. In step S61, for example, when information indicating that an abnormality has occurred is notified together with information indicating the gaming table 36 to be processed by the process in step S55, the process proceeds to step S62.

  In step S62, the database management unit 225 controls the registration unit 225a to acquire the face image supplied from the image processing unit 39 corresponding to the gaming table 36 that is the processing target from the face image acquisition unit 221. Let

  In step S63, the database management unit 225 controls the registration unit 225a to illegally recognize the face image supplied from the image processing unit 39 corresponding to the gaming table 36 that has been notified of the abnormality. As a person's face image, for example, it is registered in the face image information DB 22 as shown in FIG.

[Configuration example of face image information DB 22]
Here, a configuration example of the face image information DB 22 will be described with reference to FIG.

  The face image information DB 22 has a configuration as shown in FIG. 18, for example. That is, in FIG. 18, the ID, the face image, and the reporting location are provided as items from the left. That is, from the top, the face image information with ID = 1 indicates that the face image is the face image of the player who played the game table 36 with the game table ID = 0001 together with the acquired face image. ing. Further, the face image information of ID = 2 indicates that the face image is the face image of the player using the counter 35 together with the acquired face image. Furthermore, the face image information with ID = 3 indicates that the face image is the face image of the player who played the game table 36 with the game table ID = 0010 together with the acquired face image. The face image information of ID = 4 is the face image of the player using the intermediary machine 37 attached to the game table 36 corresponding to the game table ID = 0101 together with the acquired face image. It is shown that there is. Furthermore, the face image information of ID = 5 indicates that the acquired face image is the face image of the player who played the game table 36 at the game table ID = 0152.

  That is, as a result of this processing, the face image of an unauthorized person who has played on the gaming table 36 where an abnormal game ball has been paid out is registered in the face image information DB 22. The face image information in the face image information DB 22 also registers the face image of the user when an abnormality occurs in the counter 35 or the interpolator 37. The registration process will be described later. .

  In step S56, the launch management unit 254c of the gaming table monitoring unit 254 supplies the control unit 251 with an instruction to prohibit the launching of the game ball of the gaming table 36 that is the processing target. The control unit 251 controls the communication unit 252 to notify the corresponding gaming table 36 of the prohibition of game ball firing in the gaming table 36 that is the processing target.

  On the other hand, in step S53, for example, when the difference between the most recently paid out ball number and the most recently launched ball number is not larger than a predetermined threshold th, or in step S54, whether or not a big hit or probable change The process proceeds to step S57.

  In step S <b> 57, the launch management unit 254 c of the gaming table monitoring unit 254 supplies the control unit 251 with an instruction to permit the launching of the game ball of the gaming table 36 that is the processing target. The control unit 251 controls the communication unit 252 to notify the corresponding game table 36 of the permission to launch the game ball in the game table 36 to be processed.

  In step S58, the game table monitoring unit 254 determines whether or not an unprocessed game table 36 exists. If there is an unprocessed game table 36, the process returns to step S52. That is, it is determined whether or not an abnormality has occurred for all of the gaming tables 36. If an abnormality is detected, the corresponding player's face image is registered in the face image information DB 22 as the unauthorized person's face image. At the same time, the player is instructed to ban game balls. On the contrary, if no abnormality is detected, permission to launch a game ball to be processed is instructed.

  In step S71, the control unit 271 of the gaming table 36 controls the communication unit 272 to determine whether or not the launch prohibition is notified from the gaming store management device 24. For example, the launch prohibition is performed by the process of step S56. Is notified, the process proceeds to step S72.

  In step S <b> 72, the control unit 271 controls the game ball launch control unit 273 to prohibit the release of the game ball from the game ball launch device 274. That is, by this process, the launch of the game ball is prohibited, and even if a launch operation portion (not shown) is operated, the game ball is not fired.

  On the other hand, if the launch prohibition is not notified in step S71, that is, the launch permission is notified by the process of step S57, the control unit 271 controls the game ball launch control unit 273 in step S73. Thus, the launch of the game ball from the game ball launching device 274 is permitted. That is, by this process, the launching of the game ball is permitted, and a game ball is launched by operating a launch operation portion (not shown).

  With the above processing, when the number of balls to be thrown becomes abnormal with respect to the number of shot balls in the game table 36, it is considered that the game ball is illegally paid out in the game table 36 due to cheating. In the face image information recognizing device 21, the face image of the player playing the game on the corresponding game table 36 is registered in the face image information DB 22 as the face image of the unauthorized person. At the same time, the game table 36 is prohibited from launching a game ball when the launch prohibition is instructed.

  As a result, since the face images of the unauthorized persons are sequentially registered in the face image information DB 22, it is possible to prohibit the game on the gaming table 36 at the time when the unauthorized persons are detected by the process described later. Become. In addition, if there is no abnormal state in the game stand 36, the permission to launch is instructed, so that it is possible to play a game unless an illegal act is detected, and from the state where the staff has prohibited the launch of the game ball. Since it is not necessary to perform an operation of switching to a permitted state, it is possible to suppress fraudulent acts while avoiding unnecessary burdens on the staff.

[Counting error registration process]
Next, the counting abnormality registration process in the counter 35 will be described with reference to the flowchart of FIG.

  In step S101, the control unit 291 inquires about the operating state of the game medium receiving unit 293, and determines whether or not a game ball or a medal has been inserted. That is, the same process is repeated until a game ball or medal is inserted in order for the player to count game balls or medals as game media. In step S101, for example, when a game ball or medal is inserted, the process proceeds to step S102.

  In step S102, the control unit 291 operates the game medium receiving unit 293 and operates the count counter 294 to start counting the inserted game media.

  In step S103, the control unit 291 acquires the count result of the game media counted by the count counter 294, and controls the communication unit 292 to combine the information for identifying the counter 35 with the face image information recognition device 21. To notify.

  In step S121, the database management unit 225 controls the communication unit 223 to determine whether information for identifying the counter 35 is transmitted together with the count result from the counter 35, and until the information is transmitted. Similar processing is repeated. In step S121, for example, if the count result and information for identifying the counter 35 are transmitted by the process of step S103, the process proceeds to step S122.

  In step S122, the database management unit 225 controls the face image acquisition unit 221 to acquire a face image from the image processing unit 39 provided in association with the counter 35.

  In step S123, the database management unit 225 controls the communication unit 223 to transmit the acquired face image, count result, and information for identifying the counter 35 to the amusement shop management device 24, and there is an abnormality in the count result. Queries whether there is.

  In step S151, the control unit 251 of the amusement shop management device 24 determines whether there is an inquiry as to whether there is an abnormality in the counting result, and repeats the same processing until there is an inquiry. In step S151, for example, when there is an inquiry by the process of step S123, the process proceeds to step S152.

  In step S152, the control unit 251 controls the communication unit 252, and supplies the transmitted face image, the count result, and information for identifying the counter 35 to the counter monitoring unit 256. The counter monitoring unit 256 controls the counting result abnormality determining unit 256a to determine whether or not the counting result is abnormal based on the face image, the counting result, and information for identifying the counter 35. More specifically, the count result abnormality determination unit 256a accesses the gaming machine management DB 26, and searches the game information registered in association with the face image by using the face image transmitted together with the inquiry. At this time, the face image is collated. Details of the collation will be described later. Further, when the game information is searched, the counting result abnormality determination unit 256a determines whether the difference between the cumulative number of the fired balls and the cumulative number of the paid-out balls is a value close to the counting result. Whether or not the counting result is abnormal is determined by determining whether or not the counting result is appropriate.

  In step S152, for example, when the counting result is abnormal, in step S153, the counting result abnormality determining unit 256a notifies the control unit 251 that the counting result is abnormal. Based on this notification, the control unit 251 controls the communication unit 252 to notify the face image information recognition device 21 that there is a counting abnormality.

  On the other hand, if the counting result is not abnormal in step S152, in step S154, the counting result abnormality determining unit 256a notifies the control unit 251 that the counting result is not abnormal. Based on this notification, the control unit 251 controls the communication unit 252 to notify the face image information recognition device 21 that the counting is not abnormal.

  In step S <b> 124, the database management unit 225 of the face image information recognition device 21 controls the communication unit 223 to determine whether a count abnormality has been notified from the gaming store management device 24. In step S124, for example, when a count abnormality is notified by the process of step S153, in step S125, the database management unit 225 controls the registration unit 225a to the counter 35 that has been notified of the count abnormality. The face image supplied from the corresponding image processing unit 39 is registered in the face image information DB 22 as the face image of the unauthorized person.

  If the counter 35 performs an abnormal count by the above processing, the face image of the player using the counter 35 is registered in the face image information DB 22 as the face image of the unauthorized person.

[Between machine error registration process]
Next, with reference to the flowchart of FIG.

  In step S <b> 171, the control unit 311 controls the cash input / output control unit 313 to determine whether or not cash has been input to the cash input / output unit 314. In step S171, for example, when cash is inserted, in S172, the cash insertion / dispensing control unit 313 operates the cash insertion / dispensing unit 314 to supply the inserted bill to the authenticity determination unit 315, and authenticate Make a decision.

  In step S172, when the inserted cash is not a genuine note but a fake note, in step S173, the authenticity determination unit 315 notifies the control unit 311 that it is a fake note. The control unit 311 controls the communication unit 312 to notify the amusement store management apparatus 24 that the inserted bill is a fake ticket. At this time, the communication unit 312 notifies the game store management device 24 of information indicating that it is a fake ticket, together with information for identifying the gaming machine 36 in which the inter-table machine 37 is provided.

  In step S174, the control unit 311 causes the cash input / output control unit 313 to refund the cash input from the cash input / output unit 314.

  In the face image information recognition apparatus 21, in step S191, the database management unit 225 controls the communication unit 223 to determine whether or not information indicating that the inserted cash is a fake ticket has been transmitted. The same processing is repeated until it is determined and transmitted. In step S191, for example, when information indicating that the inserted cash was a counterfeit and information identifying the intermediary machine 37 are transmitted by the processing in step S173, in step 192, the database management unit 225 acquires the face image of the player who is going to play on the game table 36 provided in the corresponding inter-table machine 37 among the face images acquired from the face image acquisition unit 221.

  In step S193, the database management unit 225 controls the registration unit 225a to notify that the inserted cash is a fake ticket, and is supplied from the image processing unit 39 corresponding to the inter-bed machine 37. The image is registered in the face image information DB 22 as a face image of an unauthorized person.

  Through the above processing, the face image of the player who has tried to rent a game medium using a fake ticket can be registered as the face image of an unauthorized person. As a result, from the next time onward, even if the same person tries to rent a game medium, it is possible to prevent the same person from accepting only the face image.

  On the other hand, if it is a genuine note in step S172, in step S175, the control unit 311 instructs the cash insertion / dispensing control unit 313 to accept the cash inserted into the cash insertion / dispensing unit 314, and lends a ball. Is paid out from the game stand 36. Further, the control unit 311 causes the prepaid card payout control unit 316 to record the remaining number obtained by reducing the number of game balls lent out in the prepaid card accumulated in advance.

  In step S176, the control unit 311 determines whether or not an operation unit (not shown) is operated to instruct the return of the prepaid card. If the return is instructed, the prepaid card payout control unit 316 is determined in step S177. To control the prepaid card.

  If the payment of the prepaid card is not instructed in step S176, the control unit 311 determines in step S178 whether the remaining number of prepaid cards remains and can be returned. In step S178, for example, when the remaining number is exhausted due to repeated lending, for example, it is determined that it cannot be returned, and the process returns to step S171. On the other hand, if there is a remaining number in step S178 and the return can still be made, the process returns to step S176. That is, when the remaining frequency is left and no return is instructed, the processes in steps S176 and S178 are repeated.

  Furthermore, if no cash is inserted in step S171, it is determined in step S179 whether a prepaid card is inserted. For example, if a prepaid card is inserted, the process proceeds to step S176. If the prepaid card is not inserted, the process returns to step S171.

  As a result of the above processing, the face image of the player who has attempted to rent a game medium using an illegal bill is registered in the face image information DB 22 as the face image of the unauthorized person.

  That is, if an illegal act is performed in any of the gaming table 36, the counter 35, and the inter-table machine 37 by the process described with reference to FIGS. 17 to 20, the gaming table 36, the counter 35, Alternatively, it is possible to register a player's face image using the inter-machine 37 in the face image information DB 22. As a result, in any of the game table 36, the counter 35, and the inter-table machine 37, in the subsequent use, only the face image is detected and the use is prohibited to prevent unauthorized use. It becomes possible to do.

[Anti-fraud processing]
Next, the fraud prevention process will be described with reference to the flowchart of FIG.

  In step S <b> 201, the database management unit 225 determines whether the face image acquisition unit 221 has acquired the face image supplied from the entrance camera 40. In step S201, for example, when the face image supplied from the entrance camera 40 is acquired, the process proceeds to step S202.

  In step S202, the collation unit 222 executes entrance camera image processing, collates the acquired face image with the face image of the unauthorized person registered in the face image information DB 22, and there is a face image that is matched by the collation. In this case, the face image information DB 22 is registered in the current day database 22a.

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

  In step S <b> 221, the face image acquisition unit 221 acquires the face image supplied from the image processing unit 39 corresponding to the entrance camera 40 and supplies the face image to the collation unit 222.

  In step S <b> 222, the database management unit 225 determines whether a face image that matches the face image supplied from the entrance camera 40 is registered in the face image information DB 22 based on the collation result of the collation unit 222.

  More specifically, the feature amount extraction unit 231 extracts a feature amount from the supplied face image and supplies the feature amount together with the face image to the similarity calculation unit 232. The similarity calculation unit 232 executes similarity calculation processing. In the similarity calculation process, first, the similarity calculation unit 232 extracts a feature quantity similar to the feature quantity supplied from the feature quantity extraction unit 231 from the face image registered in the face image information DB 22. . Next, the degree-of-similarity calculation unit 232 determines, for the face image supplied from the feature amount extraction unit 231, the ratio of the distance between eyes, the length from the chin to the forehead, and the length from the chin to the nose. Using various face feature amounts and similar feature amounts in the face images of unauthorized persons registered in the face image information DB 22, each difference sum, average ratio, or ratio sum is calculated as similarity. The face image having the highest similarity with the face image registered in the face image information DB 22 as the calculation result is supplied to the similarity determination unit 233 together with the similarity, and is registered in the buffer 233a. If the similarity determination unit 233 determines that the similarity of the face image registered in the buffer 233a exceeds a predetermined threshold value, the communication unit 223, The data is output to the database management unit 225.

  For example, when the collation unit 222 outputs a face image that matches the face image registered in the face image information DB 22 by this series of processing, the face image information DB 22 corresponds to the entrance camera 40 in step S222. It is considered that there is an image that matches the face image supplied from the image processing unit 39, and the process proceeds to step S223. In step S223, the day registration unit 225b registers the face image supplied from the entrance camera 40 in the day DB 22a.

  On the other hand, if there is no face image that matches the face image information DB 22 in step S222, the process in step S223 is skipped, and the process ends.

  That is, of the face images registered in the face image information DB 22, a face image that matches the face image information supplied by the entrance camera 40 is registered in the DB 22a on that day. With this processing, in the subsequent collation processing, all face images in the game shop 1 need only be collated with the face images in the DB 22a on the day, so the load on the collation processing is reduced and the processing is performed at high speed. It can be realized.

  Now, the description returns to the flowchart of FIG.

  In step S201, when the face image acquired by the face image acquisition unit 221 is not a face image supplied from the entrance camera 40, the process of step S202 is skipped, and the process proceeds to step S203.

  In step S <b> 203, the database management unit 225 determines whether or not the face image acquisition unit 221 has acquired a face image supplied from the camera 38 provided in association with the game table 36. In step S203, for example, when a face image supplied from the camera 38 provided in association with the gaming table 36 is acquired, the process proceeds to step S204.

  In step S <b> 204, the database management unit 225 executes game table camera image processing, collates the face image with the collation unit 222, and determines whether to permit or prohibit the game ball on the game table 36.

[Game table camera image processing]
Here, with reference to the flowchart of FIG. 23, the game machine camera image processing will be described.

  In step S <b> 241, the face image acquisition unit 221 acquires a face image and supplies it to the collation unit 222.

  In step S242, the collation unit 222 determines whether or not there is a face image that matches the face image registered in the DB 22a on the current day by the face image collation process supplied from the face image acquisition unit 221. Since the collation process is the same as the process in step S222, the description thereof will be omitted. However, the face images to be collated are not all face images registered in the face image information DB 22, but only face images registered in the current day DB 22a.

  If it is determined in step S242 that there is a face image that matches the face image supplied from the face image acquisition unit 221 in the DB 22a on the day, the process proceeds to step S243.

  In step S243, the collation unit 222 controls the communication unit 223 to notify the game store management device 24 that an unauthorized person is going to play along with information for identifying the gaming table 36 attached to the face image. .

  In step S251, the control unit 251 of the gaming store management device 24 controls the communication unit 252 to determine whether or not a notification indicating that an unauthorized person is about to play a game has been transmitted. In step S251, for example, when a process of step S243 is performed and a notification indicating that an unauthorized person is about to play a game is transmitted together with information for identifying the gaming table 36 attached to the face image, The process proceeds to S252.

  In step S <b> 252, the control unit 251 supplies the game table monitoring unit 254 with information identifying the gaming table 36 received by the communication unit 252 and a notification indicating that an unauthorized person is about to play a game. The gaming table monitoring unit 254 identifies the gaming table 36 that the unauthorized person is attempting to play on the basis of information identifying the gaming table 36 attached to the notification.

  In step S253, the launch management unit 254c of the game table monitoring unit 254 requests the control unit 251 to instruct the identified game table 36 to prohibit the release of the game ball. In response to this request, the control unit 251 controls the communication unit 252 to instruct the specified gaming table 36 to prohibit the release of the game ball.

  In step S <b> 261, the control unit 271 of the gaming table 36 controls the communication unit 272 to determine whether or not an instruction to prohibit the release of gaming balls has been transmitted from the gaming store management device 24. In step S261, for example, when an instruction prohibiting the launch of the game ball is transmitted by the process of step S253, in step S262, the control unit 271 sends the game ball launch device to the game ball launch control unit 273. Control is performed so that the launching operation at 274 is prohibited.

  As a result, when an unauthorized person is seated in front of the game table 36, the face image information recognition device 21 checks whether or not the face image is an unauthorized person registered in the DB 22a on the day. Based on the information for identifying the game table 36 attached to the game table 36, it is prohibited to launch a game ball on the specified game table 36 on which an unauthorized person is seated. For this reason, since the fraudster cannot start the game itself, for example, it cannot be illegally guided to the winning a prize using a magnet or the like, and it is possible to suppress fraud. .

  On the other hand, in step S242, if there is no face image matching the DB 22a on the current day as a result of the collation process, a person other than the unauthorized person is seated on the game table 36, and thus the process of step S243 is skipped.

  With this process, the processes of steps S252 and S253 are also skipped, and in step S254, the launch management unit 254c receives game balls from all the gaming bases 36 for which no game by an unauthorized person has been reported. The control unit 251 is requested to transmit an instruction to permit firing. For this reason, the control unit 251 controls the communication unit 252 to notify the game stand 36 in which a game by an unauthorized person has not been reported, to permit the release of the game ball.

  Accordingly, in step S261, prohibition of game ball launch is not instructed, and in step S263, the control unit 271 permits the game ball launch control unit 273 to launch game balls.

  That is, when a person other than the person whose face image is registered in the DB 22a on the day as an unauthorized person is seated on the game table 36, a game by the unauthorized person is not reported. A person can play a game.

  As a result, only when an unauthorized person is seated, the game stand 36 is prohibited from launching a game ball, so that unauthorized games can be suppressed. Further, since the game by the unauthorized person is not notified when the unauthorized person leaves the gaming table, the game can be performed if a person other than the unauthorized person is seated. For this reason, since an operation by a staff member is not required to cancel the game prohibition state, it is possible to suppress fraud without taking the laborer into trouble.

  Now, the description returns to the flowchart of FIG.

  In step S203, when the face image has not been supplied from the camera 38 of the game table 36, the process of step S204 is skipped.

  In step S <b> 205, the database management unit 225 determines whether or not the face image acquisition unit 221 has acquired a face image supplied from the camera 38 provided in association with the counter 35. In step S205, for example, when the face image supplied from the camera 38 provided in association with the counter 35 is acquired, the process proceeds to step S206.

  In step S <b> 206, the database management unit 225 executes counter camera image processing, collates the face image by the collation unit 222, and determines whether the counting process of the counter 35 is permitted or prohibited.

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

  In step S <b> 281, the face image acquisition unit 221 acquires a face image and supplies it to the collation unit 222.

  In step S282, the matching unit 222 determines whether or not there is a face image that matches the face image registered in the DB 22a on the current day by the face image matching process supplied from the face image acquisition unit 221. Since the collation process is the same as the process in step S222, the description thereof will be omitted. However, the face images to be collated are not all face images registered in the face image information DB 22, but only face images registered in the current day DB 22a.

  If it is determined in step S282 that there is a face image that matches the face image supplied from the face image acquisition unit 221 in the DB 22a on the day, the process proceeds to step S283.

  In step S283, the collation unit 222 controls the communication unit 223 to notify the amusement store management device 24 that an unauthorized person is about to count together with information for identifying the counter 35 attached to the face image. .

  In step S291, the control unit 251 of the gaming store management device 24 controls the communication unit 252 to determine whether or not a notification indicating that an unauthorized person is about to count has been transmitted. In step S291, for example, when a process of step S283 is performed and a notification indicating that an unauthorized person is about to count is transmitted together with information identifying the counter 35 attached to the face image, the process proceeds to step S291. The process proceeds to S292.

  In step S <b> 292, the control unit 251 supplies the counter monitoring unit 256 with a notification indicating that an unauthorized person is playing, together with information identifying the counter 35 received by the communication unit 252. The counter monitoring unit 256 specifies the counter 35 that the unauthorized person is trying to count based on the information specifying the counter 35 attached to the notification.

  In step S293, the count management unit 256b of the counter monitoring unit 256 requests the control unit 251 to instruct the specified counter 35 to prohibit the counting of game balls. In response to this request, the control unit 251 controls the communication unit 252 to instruct the specified counter 35 to prohibit counting of game balls.

  In step S <b> 301, the control unit 291 of the counter 35 controls the communication unit 292 to determine whether or not an instruction to prohibit counting of game balls has been transmitted from the game store management device 24. In step S301, for example, when an instruction for prohibiting the counting of game balls is transmitted by the process of step S293, in step S302, the control unit 291 causes the game medium receiving unit 293 to receive a game medium. Control to prohibit.

  As a result, when an unauthorized person stands in front of the counter 35 and tries to count, the face image information recognition device 21 checks whether or not the face image is an unauthorized person registered in the DB 22a on the day. Then, based on the information for identifying the counter 35 attached to the face image, the illegal counter is prohibited from counting game balls in the specified counter 35 that the specified counter 35 is trying to count. For example, even if a game ball is stolen and brought from another store that has been closed, it is impossible to count the game ball, so that it is possible to suppress fraud.

  On the other hand, in step S282, if there is no face image that matches the DB 22a on the current day as a result of the collation processing, since a person other than the unauthorized person is going to count in the counter 35, the processing in step S283 is skipped.

  With this process, the processes of steps S292 and S293 are also skipped, and in step S294, the count management unit 256b sends the game balls to all the counters 35 that have not been reported by the unauthorized person. The control unit 251 is requested to transmit an instruction to permit counting. For this reason, the control unit 251 controls the communication unit 252 to notify the counter 35 in which a game by an unauthorized person has not been reported, to allow a game ball to be counted.

  Accordingly, in step S301, the prohibition of counting of game balls is not instructed, and in step S303, the control unit 211 permits the game medium receiving unit 293 to receive game media.

  That is, if a person other than the person whose face image is registered in the DB 22a on the day as an unauthorized person stands in front of the counter 35 and tries to count, the counting by the unauthorized person will not be reported. Counting is allowed and the player can count.

  As a result, since the counting of the game balls is prohibited in the counter 35 only when an unauthorized person tries to count, it is possible to suppress the unauthorized counting. Further, since the counting by the unauthorized person is not notified when the unauthorized person leaves the counter 35, the counting can be performed by a person other than the unauthorized person. For this reason, since an operation by an attendant is not required to cancel the count prohibition state, it is possible to suppress fraud without taking the trouble of the attendant.

  Now, the description returns to the flowchart of FIG.

  In step S205, when the face image has not been supplied from the camera 38 of the counter 35, the process of step S206 is skipped.

  In step S <b> 207, the database management unit 225 determines whether or not the face image acquisition unit 221 has acquired a face image supplied from the camera 38 provided in association with the table machine 37. In step S207, for example, when a face image supplied from the camera 38 provided in association with the inter-vehicle machine 37 is acquired, the process proceeds to step S208.

  In step S <b> 208, the database management unit 225 executes the intermediary camera image processing, collates the face image by the collation unit 222, and determines whether the cash accepting process of the intermediary machine 37 is permitted or prohibited.

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

  In step S <b> 311, the face image acquisition unit 221 acquires a face image and supplies it to the collation unit 222.

  In step S312, the matching unit 222 determines whether or not there is a face image that matches the face image registered in the DB 22a on the current day by the face image matching process supplied from the face image acquisition unit 221. Since the collation process is the same as the process in step S222, the description thereof will be omitted. However, the face images to be collated are not all face images registered in the face image information DB 22, but only face images registered in the current day DB 22a.

  In step S312, when it is determined that there is a face image that matches the face image supplied from the face image acquisition unit 221 in the DB 22a on the day, the process proceeds to step S313.

  In step S313, the matching unit 222 controls the communication unit 223 to indicate that the unauthorized person is going to insert cash together with information for identifying the table machine 37 attached to the face image. Notify

  In step S321, the control unit 251 of the gaming store management device 24 controls the communication unit 252 to determine whether or not a notification indicating that an unauthorized person is about to insert cash has been transmitted. In step S321, for example, when a notification indicating that an unauthorized person is going to insert cash is transmitted together with information for identifying the table machine 37 attached to the face image by the process in step S313. Advances to step S322.

  In step S <b> 322, the control unit 251 supplies a notification indicating that the fraudulent person is going to insert cash, together with information for identifying the table machine 37 received by the communication unit 252, to the table machine monitoring unit 255. The inter-machine monitoring unit 255 identifies the inter-machine 37 where the fraudster is about to insert cash based on the information identifying the inter-machine 37 attached to the notification.

  In step S323, the cash reception management unit 255b of the machine monitoring unit 255 requests the control unit 251 to instruct the specified machine 37 to prohibit cash reception. In response to this request, the control unit 251 controls the communication unit 252 to instruct the specified intermediary machine 37 to prohibit cash reception.

  In step S331, the control unit 311 of the intermediary machine 37 controls the communication unit 312 to determine whether or not a cash acceptance prohibition instruction has been transmitted from the gaming store management device 24. In step S331, for example, when an instruction prohibiting the acceptance of cash is transmitted by the process of step S323, in step S332, the control unit 311 sends the cash input / output unit 314 to the cash input / output control unit 313. Control to prohibit the cash acceptance operation.

  As a result, when an unauthorized person stands in front of the intermediary machine 37 and tries to insert cash, it is verified whether or not the facial image is an unauthorized person registered in the DB 22a on the day by the facial image information recognition device 21. If they match, based on the information identifying the intermediary machine 37 attached to the face image, the specified intermediary machine 37 to which an unauthorized person is going to insert cash is prohibited from accepting cash. For this reason, for example, even if an unauthorized person tries to start a game using an unauthorized banknote, he / she cannot receive a rental of the game medium using the unauthorized banknote and cannot play the game, so that the unauthorized act is suppressed. It becomes possible.

  On the other hand, if there is no face image that matches the DB 22a on the current day in the verification process in step S312, a person other than the unauthorized person is going to insert cash in the intermediary machine 37, so the process in step S313 is skipped. The

  With this process, the processes of steps S322 and S323 are also skipped, and in step S324, the cash reception management unit 255b applies to all the intermediary machines 37 that have not been reported to have cash input by an unauthorized person. The control unit 251 is requested to transmit an instruction for permitting the acceptance of cash. For this reason, the control part 251 controls the communication part 252, and notifies the stand-alone machine 37 in which the game by an unauthorized person is not reported of the notification which permits reception of cash.

  Therefore, in step S331, prohibition of cash reception is not instructed. Therefore, in step S333, the control unit 311 instructs the cash reception / payout control unit 313 to accept cash in the cash input / payout unit 314. to approve.

  That is, when a person other than the person whose face image is registered in the DB 22a on the day as an unauthorized person stands in front of the inter-machine 37 and attempts to insert cash, the unauthorized person does not report the insertion of cash. Therefore, the acceptance of cash is permitted, and the player can borrow a game medium and play a game.

  As a result, since the cash machine 37 is prohibited from accepting cash only when an unauthorized person tries to insert cash, it is possible to suppress a game with an illegal bill. In addition, when an unauthorized person leaves the intermediary machine 37, cash is not notified by the unauthorized person. Therefore, if someone other than the unauthorized person tries to insert cash, the cash is accepted. For this reason, since the operation by the clerk is not required to cancel the state of prohibition of accepting cash, it is possible to suppress fraud without taking the trouble of the clerk.

  Now, the description returns to the flowchart of FIG.

  In step S207, when the face image has not been supplied from the camera 38 of the intermediary machine 37, the process of step S208 is skipped, and the process returns to step S201.

  With the above processing, when the player performs an illegal act in the counting machine 35, the gaming table 36, and the inter-table machine 37, it becomes possible to register the player's face image as the unauthorized person's face image. In addition, once a facial image is registered as an unauthorized person, counting, gaming, and cash input are all prohibited in advance in the counting machine 35, the gaming machine 36, and the machine 37. Can be prevented in advance. Furthermore, even if it is in a prohibited state, if the unauthorized person is not confirmed, it will be in a permitted state without requiring an unlocking operation by the staff, so fraudulent acts will be suppressed without increasing the burden on the staff. It becomes possible.

  In the above, the example of suppressing the illegal act of the counter 35, the game machine 36, and the machine between machines 37 in the game store 1 has been described. For example, the checkout machine 33, the lending machine 34, etc. Similarly, it is possible to register unauthorized persons for other devices and to suppress unauthorized acts.

  Incidentally, the series of monitoring 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.

  The 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 face image information management center 3 face image information management database 4 third party amusement store management center 5 third party amusement store management database 6 face image information management bus 7 third party amusement Store management bus 8,9 Public communication network 21 Face image information recognition device 22 Face image 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 Face image Information bus 33 Settlement vending machine 34 Lending machine 35 Counter 36, 36-1 thru 36-m Game table 37, 37-1 thru 37-m Inter-table machine 38, 38-1 thru 38-m, 38-s, 38 -T, 38-u Camera 39, 39-1 to 39- (m + p + q), 39-s, 39-t, 39-u Image processing unit 40, 40-1 to 4 0-p entrance camera 41, 41-1 to 41-q in-store camera

Claims (7)

Storage means for storing a fraudster's face image that illegally uses a predetermined device;
Obtaining means for obtaining a face image of a user of the predetermined device;
A collation means for calculating and collating the similarity between the face image of the user acquired by the acquisition means and the face image of the unauthorized person stored in the storage means;
Similarity determination means for determining whether or not the user's face image is the unauthorized person's face image by comparing the similarity that is the matching result of the matching means with a predetermined threshold;
And a prohibition instructing unit that instructs the predetermined device to prohibit the operation when the similarity determination unit determines that the user's face image is the unauthorized person's face image. apparatus. An imaging means for capturing an image;
A face image extracting means for extracting a face image of the user from an image captured by the image capturing means;
Further comprising a feature amount extraction means for extracting a feature amount from the user's face image;
The collating unit calculates a similarity using a feature amount between the user's face image acquired by the acquiring unit and an unauthorized person's face image stored in the storage unit, and is acquired by the acquiring unit. The monitoring apparatus according to claim 1, wherein the face image of the user and the face image of the unauthorized person stored in the storage unit are collated. The predetermined equipment includes all or any of a game machine, a counter, and a machine between the machines,
The prohibition instruction unit prohibits the release of a game ball when the predetermined device is the game table when the similarity determination unit determines that the user's face image is the unauthorized person's face image. And when the predetermined device is the counter, it is instructed to prohibit the counting of the game media, and when the predetermined device is the inter-device, the reception of the valuable medium is prohibited. The monitoring apparatus according to claim 1, wherein the predetermined device is instructed to prohibit the operation. The monitoring apparatus according to claim 2, wherein the imaging unit is provided in association with each of the game machine, the counter, and the inter-machine, and captures an image including each user. The imaging means images a store entrant entering from an entrance of a game store,
The acquisition means acquires the face image of the shopkeeper,
The collation means calculates the similarity between the face image of the shopkeeper acquired by the acquisition means and the face image of the unauthorized person stored in the storage means, and collates,
The similarity determination means determines whether the face image of the store clerk is the face image of the unauthorized person by comparing the similarity as a comparison result of the matching means with a predetermined threshold value,
A store entry storage unit for the day that stores the face image of the shopkeeper determined as the face image of the unauthorized person by the similarity determination unit as a face image of the store visitor on the day;
The collation means includes a face image of a user extracted from an image captured by an imaging means provided in association with each of the game machine, the counter, and the inter-machine, The monitoring apparatus according to claim 2, wherein the similarity with the face image stored in the person storage means is calculated and collated. Storage means for storing a fraudster's face image that illegally uses a predetermined device;
Obtaining means for obtaining a face image of a user of the predetermined device;
A collation means for calculating and collating the similarity between the face image of the user acquired by the acquisition means and the face image of the unauthorized person stored in the storage means;
Similarity determination means for determining whether or not the user's face image is the unauthorized person's face image by comparing the similarity that is the matching result of the matching means with a predetermined threshold;
And a prohibition instructing unit that instructs the predetermined device to prohibit the operation when the similarity determination unit determines that the user's face image is the unauthorized person's face image. A device monitoring method comprising:
An accumulation step of accumulating a facial image of an unauthorized person who illegally uses a predetermined device in the accumulation unit;
An obtaining step of obtaining a face image of a user of the predetermined device in the obtaining unit;
A collation step of calculating and collating the similarity between the face image of the user acquired by the process of the acquisition step and the face image of the unauthorized person stored by the process of the storage step in the verification unit;
In the similarity determination means, it is determined whether or not the user's face image is the unauthorized person's face image by comparing the similarity, which is the result of the verification in the verification step, with a predetermined threshold. A similarity determination step;
Instructing the predetermined device to prohibit the operation when the user's face image is determined to be the unauthorized person's face image by the similarity determination step in the prohibition instruction means. A monitoring method including a prohibition instruction step. Storage means for storing a fraudster's face image that illegally uses a predetermined device;
Obtaining means for obtaining a face image of a user of the predetermined device;
A collation means for calculating and collating the similarity between the face image of the user acquired by the acquisition means and the face image of the unauthorized person stored in the storage means;
Similarity determination means for determining whether or not the user's face image is the unauthorized person's face image by comparing the similarity that is the matching result of the matching means with a predetermined threshold;
And a prohibition instructing unit that instructs the predetermined device to prohibit the operation when the similarity determination unit determines that the user's face image is the unauthorized person's face image. To the computer that controls the device,
An accumulation step of accumulating a facial image of an unauthorized person who illegally uses a predetermined device in the accumulation unit;
An obtaining step of obtaining a face image of a user of the predetermined device in the obtaining unit;
A collation step of calculating and collating the similarity between the face image of the user acquired by the process of the acquisition step and the face image of the unauthorized person stored by the process of the storage step in the verification unit;
In the similarity determination means, it is determined whether or not the user's face image is the unauthorized person's face image by comparing the similarity, which is the result of the verification in the verification step, with a predetermined threshold. A similarity determination step;
Instructing the predetermined device to prohibit the operation when the face image of the user is determined to be the face image of the unauthorized person by the similarity determination step in the prohibition instruction unit. A program that includes a prohibition instruction step to execute processing.

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