JP2009000367A - Monitor, method and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To easily and securely monitor a fraudulent modification of a game board in a game parlor. <P>SOLUTION: An information management part 282 correlates human body detection information indicating detection of an approach of the human body by a human body detection means with discrimination information for discriminating the game board and stores the information. When a facial image of a collation object is determinated as a facial image of a stored person, monitor information DB285 correlates the facial image of the stored person with the discrimination information as the monitor information DB285 and stores the image. A collation determination part 286 collates the monitor information stored and the human body detection information stored based on the discrimination information. Based on a collation result through a discrimination information collation means, in the case of existence of the monitor information DB285 and the human body detection information that agree with the discrimination information, a reporting part 288 reports that a fraudulent act to the game board is detected. The invention can be applied to a monitor system. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a monitoring device and method, a monitoring system, and a program, and more particularly, to a monitoring device and method, and a program that can easily and reliably monitor unauthorized modification of a gaming table in a game store.

  There is no end to fraudulent activities such as pachinko machines installed in amusement stores or game machines represented by pachislot machines, and intentionally generating jackpots.

  Therefore, as a technology to monitor such fraud, a sensor unit that detects the approach of the human body is attached to a ball lending machine (between-the-ball lending machine) installed between the game machines to detect the approach of the human body. In this case, the detection result is recorded as a history, and when the history is left, the display lamp of the ballroom lending machine is turned on to notify that there is a possibility that fraud has been done (See Patent Document 1).

JP 2006-296489 A

  However, in the above-mentioned technology, the result detected by the sensor attached to the renting machine is reported by the status indicator lamp of the tying machine, but when a suspicious person deceives the game store at night. In other words, since all the game machines sense it, there are cases where the sensor of the inter-ball lending machine in the vicinity of the game machine unrelated to fraud may detect a suspicious person.

  For this reason, the game store employees need to check all the game machines, including the game machines that are unrelated to the fraudulent game machines. There is a possibility of unnecessarily increasing the work load for confirming the above. In addition, work hours are required as the work load of employees increases, so if you work before opening an amusement store, it will not be in time for the business start time and will affect business hours. There was a possibility. Furthermore, since it is issued only on the status display lamp of the ball rental machine, if it is an internal crime, the result may be concealed.

  The present invention has been made in view of such a situation, and measures the time that the suspicious person stayed on the game stand and measures the suspicious person's face image to recognize the suspicious person from the face image. In addition, it is possible to easily and reliably monitor illegal modification of the game table in the game store by assigning the report destinations indicating the occurrence of the illegal activity according to the recognition result.

  The monitoring apparatus according to one aspect of the present invention includes an accumulating unit that accumulates a face image as an accumulator's face image in an accumulator database, a human body detecting unit that detects an approach of a human body for each game table, and the human body detecting unit. When human body detection information indicating that the approach of the human body is detected is stored in association with identification information for identifying the game table, and when the approach of the human body is detected by the human body detection means, An acquisition means for acquiring a face image of a human body approaching the game table as a face image of the person to be verified, a face image of the person to be verified acquired by the acquisition means, and an accumulator stored in the storage means The similarity image is calculated by comparing the similarity with the face image, and the comparison result of the similarity matching unit is compared with a predetermined threshold to determine that the face image of the person to be verified is the accumulator. Face painting When the similarity determination unit determines whether or not the face image of the person to be verified is the face image of the accumulator by the similarity determination unit, the face image of the accumulator is A determination result storage unit that stores the monitoring information in association with the identification information, the monitoring information stored in the determination result storage unit, and the human body detection information stored in the human body detection information storage unit. If the monitoring information and the human body detection information that match the identification information exist based on the verification result of the identification information verification unit and the identification information verification unit based on the verification result, an illegal act against the game table is detected. Notification means for notifying that the information has been received.

  Image capturing means for capturing an image, face image extracting means for extracting the face image of the person to be collated from the image captured by the image capturing means, and feature amount extraction for extracting a feature amount from the face image of the person to be collated And the acquisition means acquires the face image of the person to be collated extracted by the face image extraction means, and the similarity collation means includes the acquisition means. The similarity is calculated using the feature amount between the face image of the person to be collated acquired by the above and the face image of the registrant accumulated in the accumulating unit, and the face image of the person to be collated acquired by the acquiring unit And the face image of the registrant stored in the storage means can be collated.

  When the similarity determination unit determines that the face image of the person to be collated is not the face image of the accumulator, the determination result storage unit uses the face image of the person to be collated as the monitoring information. The identification information may be stored in association with each other, and the accumulation unit may accumulate the face image of the person to be collated in the accumulator database.

  The human body detection unit may further include a measurement unit that measures a time during which the approach of the human body is detected, and the human body detection information storage unit includes the human body measured by the measurement unit. When the approach is detected for longer than a predetermined time, the human body detection information indicating that the human body is detected as being approached by the human body detection means is stored in association with the identification information for identifying the game table. Can be.

  The accumulating means may be configured to store a group code in association with the accumulator face image, and the collation target person face image is the accumulator face image by the similarity determination means. If it is determined that there is a group code of the accumulator face image determined to be the face image of the person to be collated, a predetermined group code, An information processing device outside the game store indicates that an illegal act against the game table is detected when the monitoring information and the human body detection information that match the identification information are present based on the collation result of the identification information collating means. Can only be notified.

  The group code may include at least a code indicating a player, a suspicious person, or an employee of a game store.

  The monitoring method according to one aspect of the present invention includes a human body detection step for detecting an approach of a human body for each game table, and human body detection information indicating that the approach of the human body is detected by the processing of the human body detection step. A human body detection information storage step that stores information associated with identification information for identifying a table, and a human body approaching the game table when a human body approach is detected by the processing of the human body detection step; The acquisition step of acquiring as the face image of the image, the similarity of calculating and comparing the similarity between the face image of the person to be collated acquired by the process of the obtaining step and the face image of the accumulator accumulated in the accumulator database The face image of the person to be collated is the face image of the accumulator by comparing the degree of similarity, which is the result of matching in the processing of the degree of matching step, with a predetermined threshold value. If it is determined by the similarity determination step that determines whether or not the face image of the person to be collated is the face image of the accumulator by the processing of the similarity determination step, the face image of the accumulator is A determination result storage step that stores the monitoring information in association with the identification information, the monitoring information stored in the processing of the determination result storage step, and the human body detection information stored in the processing of the human body detection information storage step. When the monitoring information and the human body detection information that match the identification information exist based on the identification information collation step that collates based on the identification information and the collation result in the processing of the identification information collation step, A notification step of notifying that an illegal act against the game table has been detected.

  A program according to one aspect of the present invention includes a human body detection step for detecting the approach of a human body for each gaming table, and human body detection information indicating that the approach of the human body is detected by the processing of the human body detection step. A human body detection information storage step that stores the identification information for identifying the human body and an approach of the human body is detected by the processing of the human body detection step. A similarity level for calculating and comparing the similarity between the acquisition step acquired as a face image, the face image of the person to be collated acquired by the processing of the acquisition step, and the face image of the accumulator accumulated in the accumulator database The face image of the person to be collated is the face image of the accumulator by comparing the similarity that is the result of collation in the process of the collation step and the similarity collation step with a predetermined threshold value. When it is determined that the face image of the person to be collated is the face image of the accumulator by the similarity determination step for determining whether or not there is a face image of the accumulator, A determination result storage step that stores the monitoring information in association with the identification information, the monitoring information stored in the processing of the determination result storage step, and the human body detection information stored in the processing of the human body detection information storage step. When the monitoring information and the human body detection information that match the identification information exist based on the identification information collation step that collates based on the identification information and the collation result in the processing of the identification information collation step, Causing the computer to execute a process including a notification step of notifying that an illegal act on the game table has been detected.

  In the monitoring apparatus, method, and program according to one aspect of the present invention, a face image is accumulated in the accumulator database as an accumulator's face image, the approach of a human body is detected for each game table, and the approach of the human body is detected. Human body detection information indicating that the game table is stored in association with identification information for identifying the game table, and when the approach of the human body is detected, the face image of the human body approaching the game table is the face of the person to be verified. The degree of similarity between the acquired face image of the person to be collated and the accumulated face image of the person to be accumulated is calculated and collated, and a comparison is made between the degree of similarity and a predetermined threshold. When it is determined whether the face image of the person to be collated is the face image of the accumulator, and when it is determined that the face image of the person to be collated is the face image of the accumulator, Face image as monitoring information The monitoring information stored in association with the identification information and the stored monitoring information and the stored human body detection information are collated based on the identification information, and the identification information matches based on the collation result If the human body detection information is present, it is notified that an illegal act against the game table has been detected.

  In the monitoring device according to one aspect of the present invention, the accumulation means for accumulating the face image as the accumulator's face image in the accumulator database is, for example, a face image database, and human body detection that detects the approach of the human body for each game table The means is, for example, a sensor, and human body detection information storage means for storing human body detection information indicating that the approach of the human body is detected by the human body detection means in association with identification information for identifying the game table. Is, for example, an information management unit, and when an approach of a human body is detected by the human body detection unit, an acquisition unit that acquires a face image of a human body approaching the game table as a face image of a person to be collated For example, the image processing unit calculates the degree of similarity between the face image of the person to be collated acquired by the acquisition unit and the face image of the person accumulated in the accumulation unit, and performs collation The similarity matching unit is, for example, a similarity calculation unit, and the face image of the person to be collated is a face of the accumulator by comparing the similarity that is the matching result of the similarity matching unit with a predetermined threshold value. The similarity determination unit that determines whether or not the image is an image is, for example, a similarity determination unit, and the similarity determination unit determines that the face image of the person to be collated is the face image of the accumulator. In this case, the determination result storage means for storing the accumulator face image in association with the identification information as monitoring information is, for example, a monitoring information DB, and the monitoring information stored in the determination result storage means The identification information collating unit that collates the human body detection information stored in the human body detection information storage unit based on the identification information is, for example, a collation determination unit, and is based on the collation result of the identification information collating unit. The identification information is When the matching monitoring information and the human body detection information are present, the notification means for notifying that an illegal act on the game table has been detected is, for example, a reporting unit.

  That is, when the approach of the human body is detected by a sensor provided in the vicinity of the game table, the human body detection information including the identification information of the game table in which the human body is detected is stored in the information management unit, and the approach of the human body is detected. The face image extracted by the image processing unit is acquired as the face image of the person to be collated from the image captured by the camera installed on the detected game machine, and the similarity determination unit registers the face image of the person to be collated. When the similarity with the accumulator face image accumulated as a person database is compared with a predetermined threshold to determine whether or not they are the same person, and when it is determined that the person to be collated is the accumulator, The face image of the accumulator is stored as monitoring information in the monitoring information DB in association with identification information for identifying the game machine. Furthermore, the collation determination unit collates the human body detection information stored in the information management unit with the monitoring information stored in the monitoring information DB based on the identification information, and stores the same identification information. When the human body detection information and the monitoring information exist, it is notified that a state in which there is a high possibility that an unauthorized remodeling action has been performed is detected based on the human body detection information and the monitoring information.

  As a result, based on the monitoring information and human body detection information, it is notified that a state that is likely to have been tampered with has been detected, so it is possible to accurately identify the gaming machine that may have been tampered with. It is possible to identify the person who is presumed to have performed the illegal remodeling action, and to notify the possibility of the illegal remodeling action after presuming from the registered person, As a result, it is possible to easily and reliably monitor the illegal modification of the game table.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to monitor the unauthorized modification of the game stand in a game store easily and reliably.

  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 detects an approach of a human body for each game table and a storage unit (for example, the face image DB 22 in FIG. 10) that stores a face image as an accumulator's face image in an accumulator database. Human body detection means (for example, sensor 252 in FIG. 11) and human body detection information indicating that the approach of the human body has been detected by the human body detection means is stored in association with identification information for identifying the game table. When the approach of the human body is detected by the human body detection information storage unit (for example, the information management unit 282 in FIG. 13) and the human body detection unit, the face image of the human body approaching the game table is represented as the face image of the person to be verified. Acquisition means (for example, the image processing unit 39 in FIG. 10), the face image of the person to be collated acquired by the acquisition means, and the face image of the accumulator accumulated in the accumulation means Similarity collating means for calculating and collating the similarity (for example, the similarity calculating unit 232 in FIG. 10), and comparing the similarity as a collation result of the similarity collating means with a predetermined threshold value, the collation target Similarity determination means (for example, similarity determination unit 233 in FIG. 10) for determining whether or not a person's face image is the accumulator's face image, and the face image of the person to be collated by the similarity determination means Is determined to be the accumulator face image, a determination result storage means (for example, the monitoring information DB 285 in FIG. 13) that stores the accumulator face image in association with the identification information as monitoring information; The identification information collating means for collating the monitoring information stored in the determination result storage means with the human body detection information stored in the human body detection information storage means based on the identification information (for example, the collation determination in FIG. 13). Part 286) and the front Based on the collation result of the identification information collating means, when there is the monitoring information and the human body detection information that match the identification information, notifying means (for example, FIG. 13 reporting units 288).

  Image capturing means (for example, cameras 38, 40, and 41 in FIG. 9) that captures an image and face image extraction means (for example, FIG. 9) that extracts the face image of the person to be collated from the images captured by the image capturing means. And a feature amount extraction means (for example, feature amount extraction unit 231 in FIG. 10) for extracting a feature amount from the face image of the person to be collated. The acquisition unit (for example, the image processing unit 39 in FIG. 10) acquires the face image of the person to be collated extracted by the face image extraction unit, and the similarity collation unit (for example, the similarity in FIG. 10). The calculation unit 232) calculates the similarity using the feature amount between the face image of the person to be collated acquired by the acquisition unit and the face image of the registrant stored in the storage unit, and the acquisition unit Obtained by A case subject's face image, can be made to be matched with the stored registrant's face image on the storage means.

  When the similarity determination unit determines that the face image of the person to be collated is not the face image of the accumulator, the determination result storage unit (for example, the monitoring information DB 285 in FIG. 13) stores the person to be collated. Are stored in association with the identification information as the monitoring information, and the face image of the person to be collated is stored in the accumulator database in the storage means (for example, the face image DB 22 in FIG. 10). You can make it.

  The human body detecting means can further include a measuring means (for example, a residence time measuring unit 261a in FIG. 12) that measures the time during which the approach of the human body is detected, and the human body detecting information storage means ( For example, the information management unit 282) of FIG. 13 detects the approach of the human body by the human body detecting means when the approach time of the human body measured by the measuring means is longer than a predetermined time. It is possible to store the human body detection information indicating this in association with the identification information for identifying the game table.

  In the storage means (for example, the face image DB 22 in FIG. 10), a group code can be stored in association with the face image of the person in charge of accumulation. When the face image is determined to be the face image of the accumulator and the group code of the face image of the accumulator determined to be the face image of the person to be collated is a predetermined group code When the monitoring information and the human body detection information that match the identification information are present in the notification means (for example, the notification unit 288 in FIG. 13) based on the collation result of the identification information collation means. The information processing apparatus outside the game store can be notified only of the fact that an illegal act against the game table has been detected.

  According to the monitoring method of one aspect of the present invention, the approach of the human body is detected by the human body detection step (for example, step S22 in FIG. 16) for detecting the approach of the human body for each game table and the processing of the human body detection step. The human body detection information is stored in association with the identification information for identifying the game table in association with the human body detection information storage step (for example, step S32 in FIG. 17) and the human body detection step is detected. In this case, the acquisition step (for example, step S62 in FIG. 17) of acquiring the face image of the human body approaching the game table as the face image of the verification target person and the verification target person acquired by the processing of the acquisition step. Similarity collation step for calculating and collating the similarity between the face image and the accumulator face image accumulated in the accumulator database (for example, step of FIG. 18) 83) and a comparison between the similarity, which is a matching result in the similarity matching step, and a predetermined threshold value, it is determined whether the face image of the person to be collated is the face image of the accumulator. When the similarity determination step (eg, step S66 in FIG. 17) and the process of the similarity determination step determine that the face image of the person to be collated is the face image of the accumulator, A determination result storage step (for example, step S35 in FIG. 17) for storing an image in association with the identification information as monitoring information, the monitoring information stored in the processing of the determination result storage step, and the human body detection information storage An identification information matching step (for example, step S103 in FIG. 19) for matching the human body detection information stored in the step processing based on the identification information, and the identification information matching step. A notification step for notifying that an illegal act against the game table is detected when the monitoring information and the human body detection information that match the identification information exist based on the collation result in the processing of the game (for example, FIG. 19 steps S105).

  FIG. 1 is a diagram showing a configuration example of an embodiment of a monitoring system for monitoring unauthorized modification of a game machine in a game shop according to the present invention.

  The game stores 1-1 to 1-n are so-called pachinko stores, pachislot stores, or casino stores. These amusement stores 1-1 to 1-n are affiliated stores or member stores of the biometric information management center or the third party amusement store management center, and stores that need to manage a plurality of stores in an integrated manner. It is. The game stores 1-1 to 1-n are connected by a biological information management bus 6 and a third-party game store management bus 7, and the public communication line networks 8 and 9 represented by the bus and the Internet are used. Via each other, biological information, notification 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 biometric information management bus 6 mainly functions as a transmission path for distributing biometric information managed by the biometric information recognition device 21 of each game store 1. In addition, the third-party game store management bus 7 is mainly used for medium rental management information managed by the game machine peripheral terminal management device 27 of each game store 1 and from the game machine management device 24 that is transmitted to the security center 3. It functions as a transmission path for distributing information.

  The amusement store chain management server 2 is a server that is managed and operated by a management organization in an amusement store chain that collectively manages affiliated stores, and directly from the affiliated stores of the amusement stores 1-1 to 1-n or through the security center 3. The unauthorized modification report information that is supplied through the terminal is acquired, and the unauthorized modification report status in each of the game stores 1-1 to 1-n is collectively managed. The security center 3 obtains the unauthorized modification report information directly supplied from the affiliated stores of the game stores 1-1 to 1-n, and reports the unauthorized modification report status at each of the game stores 1-1 to 1-n. Is transmitted to the amusement store chain management server 2.

  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 Manage a database of information.

  The biometric information recognition apparatus 21 includes image processing units 39-1 to 39 based on images captured by the cameras 38-1 to 38-m, the entrance cameras 40-1 to 40-p, and the in-store cameras 41-1 to 41-q. Based on the face image information extracted by − (m + p + q) and supplied via the biometric information bus 31, the face image registered in the face image database 22 is collated, and if it matches, the registrant Is displayed on the display unit 23 such as CRT (Cathode Ray Tube) or LCD (Liquid Crystal Display). In addition, the biometric information recognition device 21 transmits face image information including the matching result to the amusement shop management device 24 as monitoring information.

  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. Further, the game store management device 24 receives a collation processing command supplied from the game table peripheral terminal management device 27 when the staying time at which the approach of the human body is detected by the game table peripheral terminal 37 is a predetermined time or more. Each time a human body is detected, it is stored in association with a detection ID issued. Furthermore, the game store management device 24 requests and acquires monitoring information from the biometric information recognition device 21, stores it in association with the detection ID. Then, when there is a collation processing command and monitoring information having a common detection ID, the gaming store management device 24 issues a notification that a state in which an unauthorized remodeling action may have been performed has been detected.

  The gaming machine peripheral terminal management device 27 stores the medium rental management information of the rented gaming media based on the information from the checkout machine 33, the lending machine 34, and the gaming machine peripheral terminals 37-1 to 37-m. In addition to managing using the management database 29, when updating the medium lending management information registered in the gaming machine peripheral terminal management database 29, the updated information is used for the third-party amusement store management bus 7 and the public communication line network. 9 to the third party amusement store management center 4. Further, the gaming machine peripheral terminal management device 27 acquires the medium lending management information supplied by the third party gaming store management center 4 via the third party gaming store management bus 7 and the public communication line network 9, and It is stored in the terminal peripheral terminal management database 29. Further, the gaming machine peripheral terminal management device 27 acquires the human body detection information supplied from the gaming machine peripheral terminals 37-1 to 37-m, and generates a collation processing instruction when the staying time is longer than the predetermined time. , To the game store management device 24.

  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 gaming machine peripheral terminal management device 27 together with information such as the accepted cash and the remaining number of prepaid cards. Thereby, the gaming machine peripheral terminal management device 27 registers information on the number of rented gaming media in the gaming machine peripheral terminal management database 29 together with information such as the received cash and the remaining number of prepaid cards.

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

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

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

  The game console peripheral terminals 37-1 to 37-m are so-called pedestrian machines provided corresponding to the respective game machines 36-1 to 36-m. The same as the lending machine 34) is provided. In addition, the gaming machine peripheral terminal 37 includes a sensor 252 (FIG. 11) that detects the approach of the human body. When the approach of the human body is detected by the sensor 252, the detection of the human body is started when the detection of the human body is started. When the detection of the human body is completed, the human body detection end information is transmitted to the gaming machine peripheral terminal management device 27. Further, the gaming machine peripheral terminal 37 acquires biometric information such as a face image from the image captured by the camera 38 provided on the gaming machine 36 to the image processing unit 39, and the gaming machine identification information (table ID). At the same time, it is transmitted to the biological information recognition device 21. FIG. 1 shows an example in which cameras 38-1 to 38-m that acquire a player's face image are provided as a function of acquiring biometric information.

  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. Can be used.

  Further, as shown in FIG. 4, the cameras 38-1 to 38-m are provided with convex portions 71-1 to 71-4 on the gaming machine peripheral terminals 37-1 to 37-4, as 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 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.

  Further, the in-store camera 40-a is provided in front of the lending machine 34, the in-store camera 40-b is provided in front of the checkout machine 33, and the in-store camera 41-c is the counter of the counter 35. It is provided in front, and a player who uses the rental machine 34, the checkout machine 33, and the counter 35 can be imaged.

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

  Next, a configuration example of an embodiment 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 operates based on an instruction from the operation instruction unit 204, and in the image supplied from the image acquisition unit 201, a rectangular image composed of a face image by a pattern such as the arrangement of parts constituting the face. Is extracted and supplied to the transmission unit 203. The transmission unit 203 transmits the face image to the biometric information recognition device 21. When the face instruction extraction is instructed from the game stand peripheral terminal 37, the operation instruction section 204 is given the face image to the face image extraction section 202 and the face image extraction instruction from the game stand peripheral terminal 37. Instruct to extract with detection ID. Therefore, the transmission unit 203 transmits a camera ID (not shown) that identifies the camera 38 (or the entrance camera 40 or the in-store camera 41), an imaging time, and a detection ID together with the face image to the biometric information recognition device 21. To do.

  Next, with reference to FIG. 10, the structural example of embodiment of the biometric information recognition apparatus 21 is demonstrated.

  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. The collation unit 222 collates the face image acquired by the face image acquisition unit 221 with the face image of the registrant registered in advance in the face image DB 22, and if there is a face image that is a candidate with high similarity, The face image with the highest similarity is displayed on the display unit 23 as a matching result, and is stored in the monitoring information DB 227 as monitoring information. The collation unit 222 supplies the supplied face image to the unregistered person database registration unit 223 when there is no face image that is a candidate having a high similarity.

  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 registrant's face image registered in the face image DB 22 and uses the feature amount supplied from the feature amount extraction unit 231 to the face image DB 22. The similarity with all registered registrant's face images is obtained, and the face image supplied from the face image acquisition unit 221 and the face image with the highest similarity are 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 compares the similarity with the face image with the highest similarity supplied from the similarity calculation unit 232 and a predetermined threshold value, and becomes the highest based on the comparison result. When the registered face image 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 as the degree of similarity is higher than a predetermined threshold) In the case of similarity indicating lower similarity, the similarity is lower than a predetermined threshold value), and the uppermost face image and similarity information are supplied to the display unit 23 for display. In addition, the management information is registered in the monitoring information DB 227 in association with the detection ID. In addition, the similarity determination unit 233 compares the similarity between the highest-level face image and a predetermined threshold value, and based on the comparison result, the highest-level registered face image is received from the face-image acquisition unit 221. If the face image supplied is not similar, the face image supplied from the face image acquisition unit 221 is supplied to the unregistered person database registration unit 223.

  The unregistered person database registration unit 223 registers the face image, which has been supplied as being unregistered by the collation unit 222, as monitoring information in the monitoring information DB 227 and supplies it to the database management unit 226.

  When the face image is supplied from the unregistered person database registration unit 223, the database management unit 226 updates the face image DB 22 by registering the supplied new face image.

  The search unit 224 searches for a face image registered in the face image DB 22 under conditions input by operating an operation unit 225 including a button, a mouse, or a keyboard, and displays the search result. Displayed on the unit 23.

Here, it is assumed that the similarity indicates a higher value as the face image registered as a registrant as indicated by a ratio sum, for example, and the similarity is a value higher than a predetermined threshold value. An example will be described in which it is determined that the face image is a registrant's face image corresponding to the similarity. However, for example, when the similarity is expressed as the sum of differences in the feature amounts of the face image captured as a registrant and the face image registered as a registrant, the similarity determination unit 233 determines that the similarity is greater than a threshold value. If it is smaller, the captured face image is regarded as a registrant's face image, or in the case of an average ratio or the like, it is a predetermined value in the range of 0 to 1 and close to 1. If there are, they can be regarded as the same person.

  When the monitoring information is requested from the gaming store management device 24, the monitoring information transmission unit 228 accesses the monitoring information DB 227, reads the monitoring information, and supplies it to the gaming store management device 24.

  Next, with reference to FIG. 11, the structural example of embodiment of the game stand peripheral terminal 37 is demonstrated.

  The game console peripheral terminal 37 includes a control unit 251, a sensor 252, and a communication unit 253, and the operation is controlled by the control unit 251. The sensor 252 is a human sensor, and detects human approach within a range that is detected when an illegal act is performed on the game table 36 corresponding to the game table peripheral terminal 37. The communication unit 253 includes an Ethernet (registered trademark) board and the like, and exchanges various data and signals.

  When the detection of the approach of the human body is started by the sensor 252, the human body detection information generating unit 251a of the control unit 251 issues a detection ID and accesses an RTC (Real Time Clock) 251b, and the start time when the approach is detected The table ID stored in the table ID memory 251c is read, the human body detection start information including the table ID and the detection ID is generated, and the communication unit 253 is controlled to control the game table peripheral terminal management device 27. Send to. Similarly, the human body detection information generation unit 251a of the control unit 251 accesses the RTC (Real Time Clock) 251b when the detection of the approach of the human body is completed by the sensor 252, and displays information on the end time when the approach is detected. While reading, the table ID memorize | stored in the table ID memory 251c is read, the human body detection completion information containing detection ID is produced | generated, the communication part 253 is controlled, and it transmits to the game machine peripheral terminal management apparatus 27. In addition, when a human body is detected by the sensor 252, the control unit 251 of the gaming machine peripheral terminal 37 controls the communication unit 253 to instruct the corresponding image processing unit 39 to extract a face image.

  Next, with reference to FIG. 12, the structural example of embodiment of the game stand peripheral terminal management apparatus 27 is demonstrated.

  The game console peripheral terminal management device 27 includes a control unit 261, an input unit 262 including a keyboard and a mouse, and a communication unit 263 including an Ethernet (registered trademark) board. The operation is controlled by the control unit 261. The

  The dwell time measurement unit 261a of the control unit 261 controls the communication unit 263, and based on the human body detection start information and the human body detection end information transmitted from the game table peripheral terminal 37, the dwell time measurement unit 261a The residence time of the detected person is measured. If the staying time is longer than the predetermined time, the warning determination unit 261b may have performed a fraudulent act by a suspicious person on the game table 36 near the game table peripheral terminal 37 that has transmitted the human body detection start information and the human body detection end information. Therefore, it is determined that a warning is necessary, and the determination result is supplied to the collation processing instruction creating unit 261c. Based on the human body detection start information and the human body detection end information, the collation processing command creation unit 261c creates a collation processing command including the detection ID, controls the communication unit 263, and transmits the collation processing command to the amusement shop management device 24.

  Next, a configuration example of an embodiment of the game shop management device 24 will be described with reference to FIG.

  The verification processing command receiving unit 281 receives the verification processing command including the detection ID transmitted from the gaming machine peripheral terminal management device 27 and stores it in the information management unit 282. The monitoring information request unit 283 requests monitoring information from the biometric information recognition device 21 based on the collation processing instruction stored in the information management unit 282. The management information receiving unit 284 receives the monitoring information transmitted from the biological information recognition device 21 in response to the request from the monitoring information requesting unit 283, and stores it in the monitoring information DB 285.

  The collation determination unit 286 collates the detection ID of the collation processing instruction stored in the information management unit 282 with the detection ID of the monitoring information included in the monitoring information DB 285, and monitors the matching corresponding to the collation processing command having the same detection ID. It is determined whether or not the information exists. When the information is present, the display processing unit 287 is controlled, and the game corresponding to the suspicious person based on the information included in the collation processing instruction of the detection ID and the monitoring information A collation result indicating that there is a high possibility that an illegal act has been performed on the table 36 is displayed on the display unit 25, and the reporting unit 288 is controlled to transmit the collation result to the security center 3 as report information. In addition, when the display determination unit 287a determines, for example, that the face image detected by the monitoring information is an attendant of the game shop based on the group code included in the monitoring information, the display processing unit 287 displays the display unit 25. Stop reporting at. In this way, since the notification information is transmitted only to the security center 3, it is possible to distribute the presentation of the notification information, and as a result, the suspicious person who has performed the unauthorized remodeling of the amusement shop Even in the case of an employee, it is possible to prevent concealment of illegal remodeling by an amusement shop employee.

  Next, a configuration example of the embodiment of the security center 3 will be described with reference to FIG.

  The security center 3 includes a control unit 301, a display unit 302, a communication unit 303, and a notification information storage unit 304. The operation is controlled by the control unit 301. The reporting unit 301a of the control unit 301 controls the communication unit 303 to store the transmitted verification result in the notification information storage unit 304 when the verification result is transmitted from the amusement shop management apparatus 24. Then, the collation result is displayed on the display unit 302 as the report information, and the fact that the illegal act by the suspicious person is detected is reported. Further, the reporting unit 301a controls the communication unit 303 to transmit the collation result to the amusement store chain management server 2 as reporting information.

  Next, a configuration example of an embodiment of the amusement store chain management server 2 will be described with reference to FIG.

  The amusement store chain management server 2 includes a control unit 311, a display unit 312, a communication unit 313, and a notification information storage unit 314, and the operation is controlled by the control unit 311. The control unit 311 controls the communication unit 313 to receive the alert information transmitted from the security center 3 and store the alert information in the alert information storage unit 314 and display it on the display unit 312.

  Next, referring to the flowcharts of FIGS. 16 and 17, unauthorized modification monitoring by the gaming machine peripheral terminal 37, the gaming machine peripheral terminal management device 27, the gaming store management device 24, the image processing unit 39, and the biological information recognition device 21. Processing will be described.

  In step S1, the control unit 261 of the gaming machine peripheral terminal management device 27 determines whether or not the monitoring mode is instructed by operating the input unit 262, and repeats the same processing until the monitoring mode is instructed. Here, an example in which the monitoring mode is instructed by the input unit 262 will be described. However, not only the instruction by the input unit 262 but also, for example, it is considered that the monitoring mode has been instructed when a predetermined time has elapsed. May be.

  In step S1, for example, when the input unit 262 is operated and the monitoring mode is instructed, in step S2, the control unit 261 controls the communication unit 263 to set the monitoring mode for each gaming machine peripheral terminal 37. Instruct.

  In step S21, the control unit 251 of the gaming machine peripheral terminal 37 controls the communication unit 253 to determine whether or not the monitoring mode is instructed from the gaming machine peripheral terminal management device 27, and until the monitoring mode is instructed. Repeat the same process. In step S21, for example, when the monitoring mode is instructed by the processing in step S2 and the control unit 251 receives the instruction via the communication unit 253, it is assumed that the monitoring mode is instructed. Proceed to S22.

  In step S <b> 22, the control unit 251 controls the sensor 252 to determine whether the approach of a human body has been detected. In step S22, for example, when a human body is detected by the suspicious person approaching the gaming machine 36 corresponding to the gaming machine peripheral terminal 37, the process proceeds to step S23.

  In step S23, the control unit 251 controls the human body detection information generation unit 251a to generate human body detection start information indicating that the detection of the approach of the human body has been started. Thus, the human body detection information generation unit 251a issues a detection ID, reads the time information of the RTC 251b, and the base ID stored in the base ID memory 251c, and detects the detection ID, the human body detection start time, and the base Generate human body detection start information including ID. Then, the control unit 251 controls the communication unit 253 to transmit the generated human body detection start information to the gaming machine peripheral terminal management device 27.

  In step S24, the human body detection information generation unit 251a controls the communication unit 253 to instruct the corresponding image processing unit 39 to extract a face image.

  In step S <b> 25, the control unit 251 controls the sensor 252 to determine whether or not the detection of the approach of the human body is continued, and repeats the same processing until no detection is made. In step S25, for example, when the human body is no longer detected due to the suspicious person leaving the gaming table 36 corresponding to the gaming table peripheral terminal 37, the process proceeds to step S26.

  In step S26, the control unit 251 controls the human body detection information generation unit 251a to generate human body detection end information indicating that the detection of the approach of the human body has ended. Thereby, the human body detection information generation unit 251a reads the time information of the RTC 251b and the table ID stored in the table ID memory 251c together with the issued detection ID, and detects the detection ID, the human body detection end time, and the table ID. The human body detection end information including is generated. Then, the control unit 251 controls the communication unit 253 to transmit the generated human body detection end information to the gaming machine peripheral terminal management device 27.

  In step S3, the control unit 261 of the gaming machine peripheral terminal management device 27 controls the communication unit 263 to determine whether or not human body detection start information has been received. In step S3, for example, when human body detection start information has been transmitted by the process of step S23, in step S4, the control unit 261 has transmitted the human body detection start information by controlling the dwell time measurement unit 261a. The measurement of the residence time in which the person approaching the gaming machine 36 corresponding to the gaming machine peripheral terminal 37 stays in the gaming machine 36 is started. That is, the residence time measuring unit 261a starts measuring the residence time from the detection start time information included in the human body detection start information, and supplies the measured residence time information to the warning determination unit 261b.

  In step S5, the warning determination unit 261b determines whether or not the residence time is longer than a predetermined time. If it is determined in step S5 that it is not longer than the predetermined time, in step S6, the residence time measurement unit 261a determines whether or not human body detection end information has been transmitted. In step S6, when the human body detection end information is not transmitted, the process returns to step S4. That is, when the human body detection start information is transmitted, the measurement of the dwell time is started, the processes of steps S4 to S6 are repeated unless the predetermined time has passed and the human body detection end information has not been transmitted. The residence time continues to be measured.

  If it is determined in step S4 that the staying time is longer than the predetermined time, it is assumed that the game table 36 has been tampered with by the detected person, and in step S7, the control unit 261 determines whether or not The creation unit 261c is controlled to create information on the collation processing command based on the detection ID, the base ID, and the human body detection start time information, and the communication unit 263 is controlled and transmitted to the amusement shop management device 24. .

  On the other hand, in step S6, for example, when human body detection end information is transmitted in step S26, the detected person is separated from the game table 36 before the residence time becomes longer than the predetermined time. Assuming that no unauthorized modification has been made, the process of step S7 is skipped. Further, if it is determined in step S3 that the human body detection start information has not been received, the human body is not approaching any of the game machines 36, so that it is considered that no unauthorized modification has been made, Steps S4 to S7 are skipped.

  In step S8, the control unit 261 of the gaming machine peripheral terminal management device 27 determines whether or not the end of the monitoring mode is instructed by operating the input unit 262. Returns to step S3. That is, steps S3 to S8 are repeated until the end of the monitoring mode is instructed. If the input unit 262 instructs the end of the monitoring mode in step S8, the control unit 261 controls the communication unit 263 in step S9 to end the monitoring mode for each gaming machine peripheral terminal 37. And the process returns to step S1.

  In step S27, the control unit 251 of the gaming machine peripheral terminal 37 controls the communication unit 253 to determine whether or not the end of the monitoring mode has been instructed. If the end of the monitoring mode is not instructed in step S27, the process returns to step S22. That is, when the monitoring mode is instructed, the processes in steps S22 to S27 are repeated. In step S22, when the approach of the human body is not detected by the sensor 252, the processes in steps S23 to S26 are skipped. In step S27, for example, when the end of the monitoring mode is instructed by the process of step S9, the process returns to step S21, and the subsequent processes are repeated.

  When the monitoring mode is instructed by the above process, if a human body is detected, the game table peripheral terminal 37 instructs the image processing unit 39 to extract a face image in the process of step S24. When the staying time is longer than the predetermined time, the game table peripheral terminal management device 27 transmits a verification processing command to the game store management device 24 in the process of step S7.

  Therefore, in step S31 (FIG. 17), the collation processing command receiving unit 281 determines whether or not a collation processing command including the detection ID has been transmitted, and repeats the same processing until it is transmitted. In step S31, for example, when a collation processing command is transmitted from the gaming machine peripheral terminal management device 27 by the processing in step S7 (FIG. 16), the collation processing command receiving unit 281 has been transmitted in step S32. A verification processing command including the detection ID is received and stored in the information management unit 282.

  In step S <b> 33, the monitoring information request unit 283 requests monitoring information from the biometric information recognition device 21 when confirming that the verification processing command is registered in the information management unit 282.

  On the other hand, in step S <b> 41, the image acquisition unit 201 of the image processing unit 39 acquires an image captured by the camera 38 and supplies it to the face image extraction unit 202.

  In step S <b> 42, the operation instruction unit 204 determines whether or not extraction of a face image is instructed from the game console peripheral terminal 37. If not, the process returns to step S <b> 41. That is, when the extraction of the face image is not instructed, the image acquisition unit 201 continues to acquire the image captured by the camera 38 and supply it to the face image extraction unit 202, but the face image extraction unit 202 is supplied. Since the face image is not extracted from the image, the processing in steps S41 and S42 is repeated, but no information is output from the image processing unit 39.

  On the other hand, in step S42, for example, when the approach of the human body is detected by the game console peripheral terminal 37 in step S24 (FIG. 16) and the extraction of the face image is instructed together with the detection ID, the operation instruction unit 204 displays the face image. Is acquired, and the face image extraction unit 202 is caused to extract a face image from the image supplied from the image acquisition unit 201. As a result, the face image extraction unit 202 extracts a face image from the image supplied from the image acquisition unit 201, attaches the detection ID, and supplies the extracted face image to the transmission unit 203.

  In step S <b> 43, the transmission unit 203 attaches a detection ID together with information such as a camera ID for identifying the camera 38 and an imaging time, and transmits the face image to the biological information recognition apparatus 21.

  In step S61, the face image acquisition unit 221 of the biological information recognition device 21 determines whether or not a face image has been supplied from the image processing unit 39, and repeats the same processing until it is transmitted. For example, in step S61, when a face image is transmitted together with the detection ID from the image processing unit 39 by the process in step S44, the process proceeds to step S62.

  In step S62, the face image acquisition unit 221 acquires the face image transmitted together with the detection ID. In step S <b> 63, the face image acquisition unit 221 extracts any unprocessed one of the supplied face images and supplies the extracted unprocessed one to the feature amount extraction unit 231.

  In step S <b> 64, the feature amount extraction unit 231 of the matching unit 222 extracts the feature amount from the supplied face image and supplies it to the similarity calculation unit 232 together with the face image.

  In step S65, the similarity calculation unit 232 executes similarity calculation processing.

  Here, the similarity calculation processing will be described with reference to the flowchart of FIG.

  In step S81, the similarity calculation unit 232 extracts an unprocessed face image of one registrant from the face images registered in the face image DB 22, and sets it as a processing target.

  In step S <b> 82, the similarity calculation unit 232 extracts a feature amount similar to the feature amount supplied from the feature amount extraction unit 231 from the face image set as the processing target.

  In step S83, the similarity calculation unit 232 determines the ratio of the eye-to-eye spacing, the length from the chin to the forehead, and the length from the chin to the nose for the face image supplied from the feature amount extraction unit 231. Are used as the similarity, and the difference sum, the average ratio, or the ratio sum is calculated as the similarity by using the various face feature amounts and the similar feature amounts in the face image registered in the face image DB 22. , The similarity with the registered face image as the calculation result is supplied to the similarity determination unit 233.

  In step S85, the similarity calculation unit 232 determines whether or not an unprocessed registrant's face image exists in the face image DB 22. If there is an unprocessed registrant's face image, the process proceeds to step S85. Return to S81. That is, the processes in steps S81 to S85 are repeated until the similarity with the face images of all registrants is calculated. If it is determined in step S85 that there is no unprocessed registrant face image, the similarity calculation process ends.

  Now, the description returns to the flowchart of FIG.

  In step S66, the similarity determination unit 233 obtains a rank based on the calculation result of the similarity, and extracts information about the highest face image and the similarity. Then, the similarity determination unit 233 determines whether the highest similarity is greater than a predetermined threshold. That is, the similarity determination unit 233 is the most similar registrant (registrant who is most similar to the face image acquired by the face image acquisition unit 221 among the face images registered in the face image DB 22: Here, the similarity of the registrant with the highest similarity is compared with a predetermined threshold.

  As described above, since the similarity between the captured face image and the registrant's face image that is most similar to the captured face image is not always the highest, The magnitude relationship with the threshold value may be different from that in this example.

  If it is determined in step S66 that the highest similarity is not greater than the predetermined threshold value, that is, if there is no registered face image similar to the supplied face image, the similarity is determined in step S67. The determination unit 233 supplies the face image supplied from the image processing unit 39 to the unregistered person database registration unit 223. The unregistered person database registration unit 223 supplies the face image supplied from the image processing unit 39 to the database management unit 226. The database management unit 226 registers the unregistered face image in the face image DB 22. At this time, detection start time information, a group code, a store code, and a personal code are also registered in association with the registered face image.

  Here, the group code indicates, for example, a group of registered face images. For example, groups such as a player, a suspicious person, an employee, and an unaffiliated are set for the group codes A to D, respectively. For example, if the time zone registered in the face image DB 22 is within business hours, the group code is set to A as a player, and if the time zone registered in the face image DB 22 is a midnight time zone, If the group code is set to B as a suspicious person, and the time zone registered in the face image DB 22 is outside business hours and is not in the middle of the night (a time zone immediately before the business start time or immediately after the business end), Group C may be set as an employee, and the time zone registered in the face image DB 22 may be set as a group code when the time zone is other than that, so as not to belong.

  Further, the store code is a code corresponding to the location specified from the camera ID or the like from which the face image registered in the face image DB 22 is acquired. For example, the store code “0123” is “A hall”, “0321” is set as “B Plaza”, “0543” is set as “C Hall”, and “0298” is set as “D Hall”.

  Furthermore, the personal code is a code for identifying a face image registered in the face image DB 22, and an individual identification code is set when registered in the face image DB 22.

  On the other hand, if it is determined in step S66 that the highest similarity is larger than the predetermined threshold, that is, if there is a registered face image similar to the supplied face image, the process of step S67 is performed. Skipped.

  In step S68, the similarity determination unit 233 registers the face image supplied from the image processing unit 39 in the monitoring information DB 227 as monitoring information in association with the detection ID.

  In step S69, the face image acquisition unit 221 determines whether or not all of the supplied face images have been processed. If there is an unprocessed face image, the process returns to step S62. That is, the processes in steps S62 to S69 are repeated until the process is performed for all the face images. If it is determined that the process has been completed for all face images, the process proceeds to step S70.

  In step S70, the monitoring information transmission unit 228 determines whether or not monitoring information has been requested, and repeats the process until requested. In step S70, for example, when monitoring information is requested by the processing in step S33, in step S71, the monitoring information transmitting unit 228 accesses the monitoring information DB 227, reads out the registered monitoring information, and manages the game store. To device 24.

  In step S34, the monitoring information receiving unit 284 of the gaming store management device 24 determines whether or not monitoring information is transmitted, and repeats the same processing until it is transmitted. In step S34, for example, when the monitoring information is transmitted from the biological information recognition apparatus 21 by the process of step S71, the monitoring information receiving unit 284 receives the transmitted monitoring information in step S35 and performs monitoring. The information is registered in the information DB 285, and the process returns to step S31.

  That is, by the above processing, the collation processing command transmitted from the gaming machine peripheral terminal management device 27 is registered in the information management unit 282 of the gaming store management device 24, and further the monitoring transmitted from the biological information recognition device 21. Information is registered in the monitoring information DB 285.

  Therefore, when the monitoring mode is instructed by the above processing, if a human body is detected, the game table peripheral terminal 37 instructs the image processing unit 39 to extract a face image in the processing of step S24. If the human body continues to be detected and the staying time becomes longer than the predetermined time, the game table peripheral terminal management device 27 transmits a collation processing command to the game store management device 24 in step S7, and the face image When the extraction is instructed, the biological information recognition device 21 generates monitoring information. In other words, the game store management device 24 monitors the monitoring information including the face image of the person detected by approaching the game table 36 and information of the similar face image and the detection ID, the detection ID, the table ID, and the human body. The verification processing command including the information of the detection start time is stored in the monitoring information DB 285 and the information management unit 282, respectively.

  As a result, for example, if the monitoring mode is set in the late-night time zone after the end of business, a person may be detected in the late-night time zone, and it may be detected that the gaming machine has been illegally modified. The collation processing command corresponding to the table 36 and the monitoring information are sequentially stored in association with the detection ID.

  Next, referring to the flowchart of FIG. 19, the collation issue processing by the game shop management device 24, the security center 3, and the game shop chain management server 2 will be described.

  In step S101, the collation determination unit 286 determines whether the collation issue processing is instructed, and repeats the same processing until the collation issue processing is instructed. Note that this process may be a case where a collation notification process is instructed by a user operating an input unit (not shown). For example, the monitoring mode is canceled as the first process of the day. It is also possible to recognize the timing immediately after this as an instruction for collation issue processing.

  If it is determined in step S101 that the collation notification processing has been instructed, in step S102, the collation determination unit 286 reads the detection ID of the collation processing command registered in the information management unit 282 and registers it in the monitoring information DB 285. Check the detection ID of the monitoring information being used.

  In step S103, the collation determining unit 286 determines whether there is monitoring information that matches the detection ID attached to the collation processing instruction. In step S103, if there is a matching processing instruction and monitoring information that match the detection ID, the matching determination unit 286 selects an unprocessed matching processing command and monitoring information that match the detection ID in step S104. The alert information is generated and the alert information is supplied to the display processing unit 287 and the alert unit 288.

  In step S105, the reporting unit 288 transmits the report information to the security center 3 to issue a report.

  In step S106, the display processing unit 287 controls the display determination unit 287a to determine whether or not the group code included in the notification information is not displayed on the in-store gaming store management device 24. For example, in the case where the group code included in the monitoring information is A, B, or D indicating the above-mentioned player, suspicious person, and no affiliation, the display information is displayed in the store. 287 displays the generated notification information on the display unit 25 as shown in FIG. 20, for example.

  In step S108, the collation determination unit 286 determines whether there is a detection ID that matches the detection ID. In step S108, if there is one that matches the detection ID and for which no alert information has been generated, the process returns to step S104. That is, in step S108, as long as there is a thing with the same detection ID and no notification information is generated, the processes in steps S104 to S108 are repeated. In step S108, when there is no detection ID that matches the detection ID, the process returns to step S101.

  On the other hand, in step S106, if the group code is, for example, the group code C and is a group code indicating an employee, an employee of the same store may indicate that an unauthorized modification has been detected by the display unit 25. Therefore, since there is a possibility that crimes are systematically concealed in units of stores, the alert information is not displayed on the display unit 25 in the store.

  FIG. 20 shows a display example of the alarm information displayed on the display unit 25. In FIG. 20, a number (No.), stand ID, detection time, registered face image, monitoring face image, group code, store code, and personal code are sequentially shown from the left.

  Accordingly, in FIG. 20, the alert information of No. 1 (No. 1) is detected near the game machine indicated by the machine ID “328” at the time of 01:43:15 on June 6, 2007. Is detected, the face image registered in the face image DB 22 similar to the face image included in the monitoring information is displayed, and the face image extracted by the image processing unit 39 is displayed. Since the group code is “A”, it is indicated that the player is a player, and since the store code is “0123”, it is indicated that registration is performed at the A hall, and the personal code is set to “050208”. It is shown that.

  Similarly, the notification information of No. 2 (No. 2) was detected by the sensor 252 at 01:49:30 on June 6, 2007, in the vicinity of the gaming machine indicated by the machine ID “157”. As a result of this detection, the face image registered in the face image DB 22 similar to the face image included in the monitoring information is displayed, the face image extracted by the image processing unit 39 is displayed, and the group code is “ B ”indicates that the person is a suspicious person, and the store code is“ 0123 ”, which indicates that the person has been registered at the A hall, and the personal code is set to“ 099123 ”. It is shown.

  In addition, the notification information of No. 3 (No. 3) was detected by the sensor 252 at 01:58:58 on June 6, 2007 in the vicinity of the gaming machine indicated by the machine ID “025”. Is displayed, the face image registered in the face image DB 22 similar to the face image included in the monitoring information is displayed, the face image extracted by the image processing unit 39 is displayed, and the group code is “C ”Indicates that the employee is an employee, and the store code is“ 0321 ”, which indicates that the store is registered at B Plaza, and that the personal code is set to“ 010030 ”. Has been.

  Furthermore, the notification information of No. 4 (No. 4) was detected by the sensor 252 at 02:29:01 on June 6, 2007 in the vicinity of the gaming machine indicated by the machine ID “025”. Is displayed, the face image registered in the face image DB 22 similar to the face image included in the monitoring information is displayed, the face image extracted by the image processing unit 39 is displayed, and the group code is “D ”Indicates that the user is not affiliated, and the store code is“ 0543 ”, which indicates that the store has been registered in Hall C, and that the personal code is set to“ 091332 ”. ing.

  In addition, the notification information of No. 5 (No. 5) was detected by the sensor 252 at 02:46:22 on June 6, 2007 in the vicinity of the gaming machine indicated by the machine ID “673”. Is displayed, the face image registered in the face image DB 22 similar to the face image included in the monitoring information is displayed, the face image extracted by the image processing unit 39 is displayed, and the group code is “C ”Indicates that the employee is not affiliated, and the store code is“ 0298 ”, which indicates that the user has been registered in Hall C, and that the personal code is set to“ 060192 ”. ing.

  Next, in step S121, the reporting unit 301a of the control unit 301 of the security center 3 controls the communication unit 303 to determine whether or not the reporting information has been transmitted from the gaming store management device 24, and the transmission is performed. The same process is repeated until it is received. In step S121, for example, when notification information is transmitted from the gaming store management device 24 by the processing in step S105, the control unit 301 controls the communication unit 303 in step S122 to transmit the transmitted information. Report information is received and stored in the report information storage unit 304.

  In step S123, the reporting unit 301a displays the reporting information stored in the reporting information storage unit 304 on the display unit 302 in the same manner as the gaming store management device 24, for example, as shown in FIG. .

  In step S124, the reporting unit 301a reads the reporting information stored in the reporting information storage unit 304, controls the communication unit 303, and transmits it to the amusement store chain management server 2.

  In step S141, the control unit 311 of the amusement store chain management server 2 controls the communication unit 313 to determine whether or not the alert information has been transmitted from the security center 3, and the same process is performed until it is transmitted. Repeat the process. In step S141, for example, when notification information is transmitted from the security center 3 by the processing in step S124, the control unit 311 controls the communication unit 313 to transmit the notification information transmitted in step S142. Is received and stored in the notification information storage unit 314.

  In step S143, the control unit 311 displays the alert information stored in the alert information storage unit 314, as shown in FIG. 20, for example, the display unit 312 as in the game store management device 24 and the security center 3. To display.

  By the unauthorized modification monitoring process as described above, for example, based on the collation processing instruction and the monitoring information corresponding to the gaming machine 36 in which the gaming machine may be illegally modified in the midnight hours after the end of business. The alert information is sequentially generated from the collation processing command and the monitoring information having the same detection ID, and at the timing when the monitoring mode such as immediately before the business start time is released, for example, at the game shop management device 24 and the security center 3 And at the amusement store chain management server 2. For this reason, it is possible to accurately specify the gaming table 36 on which an illegal remodeling action has been performed, and it is possible to specify a person who is highly likely to have performed an illegal action.

  Further, in the game store management device 24 provided in the game store 1, when the group code included in the monitoring information is C as described above and indicates an employee, the alert information is not displayed, The information is supplied to the security center 3 and the amusement store chain management server 2 for notification. For this reason, until now, when an employee in the amusement store 1 illegally modifies the gaming table 36, the notification information is displayed, so that the information is issued to the security center 3 and the amusement store chain management server 2. Although it was possible to hide the report information intentionally, etc., in the amusement store 1, since the notification information is not displayed, it is fraudulent by employees in the amusement store 1. However, since the amusement store 1 is secretly supplied to the security center 3 and the amusement store chain management server 2 and is notified, it is possible to prevent the intentional erasure of information and the like. Unauthorized remodeling by employees from within 1 can be reliably controlled.

  According to the above, it is possible to easily and reliably monitor unauthorized modification of a game table in a game store.

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

  An input / output interface 1005 includes an input unit 1006 including an input device such as a keyboard and a mouse for a user to input an operation command, an output unit 1007 for outputting a processing operation screen and an image of a processing result to a display device, a program and various data. A storage unit 1008 including a hard disk drive to be stored, 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.

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 biometric information recognition apparatus of FIG. It is a figure explaining the structural example of the game stand periphery terminal of FIG. It is a figure explaining the structural example of the game stand periphery terminal management 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 security center of FIG. It is a figure explaining the structural example of the game store chain management server of FIG. It is a flowchart explaining an unauthorized modification monitoring process. It is a flowchart explaining an unauthorized modification monitoring process. It is a flowchart explaining a similarity calculation process. It is a flowchart explaining a collation alerting | reporting process. It is a figure explaining collation issue processing. And FIG. 11 is a diagram illustrating a configuration example of a personal computer.

Explanation of symbols

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

Claims (8)

Accumulation means for accumulating a face image as an accumulator face image in an accumulator database;
Human body detecting means for detecting the approach of the human body for each game table;
Human body detection information storage means for storing human body detection information indicating that the approach of the human body is detected by the human body detection means in association with identification information for identifying the game table;
An acquisition means for acquiring a face image of a human body approaching the game table as a face image of a person to be collated when an approach of a human body is detected by the human body detection means;
A similarity matching means for calculating and matching the similarity between the face image of the person to be collated acquired by the acquisition means and the face image of the person accumulated in the accumulation means;
Similarity determination means for determining whether or not the face image of the person to be collated is the face image of the accumulator by comparing the similarity that is the collation result of the similarity collating means with a predetermined threshold;
When the similarity determination unit determines that the face image of the person to be collated is the face image of the accumulator, a determination result of storing the face image of the accumulator in association with the identification information as monitoring information Storage means;
Identification information collating means for collating monitoring information stored in the determination result storage means and human body detection information stored in the human body detection information storage means based on the identification information;
Notification means for notifying that an illegal act on the gaming machine is detected when the monitoring information and the human body detection information that match the identification information exist based on the collation result of the identification information collation means. Monitoring device. An imaging means for capturing an image;
A face image extracting means for extracting the face image of the person to be collated from the image captured by the image capturing means;
Further comprising a feature amount extraction means for extracting a feature amount from the face image of the person to be collated,
The acquisition means acquires the face image of the person to be collated extracted by the face image extraction means,
The similarity matching unit calculates a similarity using a feature amount between the face image of the person to be verified acquired by the acquiring unit and the face image of the registrant stored in the storage unit, and the acquisition unit The monitoring apparatus according to claim 1, wherein the face image of the person to be collated acquired by the step is collated with the face image of the registrant stored in the storage unit. When the similarity determination unit determines that the face image of the person to be collated is not the face image of the accumulator, the determination result storage unit uses the face image of the person to be collated as the monitoring information as the monitoring information. Store it in association with the information,
The monitoring apparatus according to claim 1, wherein the accumulation unit accumulates the face image of the person to be collated in the accumulator database. Further comprising a measuring means for measuring a time during which the approach of the human body is detected by the human body detecting means,
The human body detection information storage means indicates that the human body detection means has detected the approach of the human body when the approach time of the human body measured by the measurement means is longer than a predetermined time. The monitoring apparatus according to claim 1, wherein the information is stored in association with identification information for identifying the gaming machine. The storage means stores a group code in association with the face image of the store person,
When the similarity determination unit determines that the face image of the collation target person is the face image of the accumulator, and the accumulator who is determined to be the face image of the collation target person When the group code of the face image is a predetermined group code, the notifying unit includes the monitoring information and the human body detection information that match the identification information based on the collation result of the identification information collating unit. The monitoring device according to claim 1, wherein only the information processing device outside the game store is notified that an illegal act against the game table has been detected. The monitoring device according to claim 5, wherein the group code includes a code indicating at least a player, a suspicious person, or an employee of a game store. A human body detecting step for detecting the approach of the human body for each game table;
Human body detection information storage step for storing human body detection information indicating that the approach of the human body is detected by the processing of the human body detection step in association with identification information for identifying the game table;
When the approach of the human body is detected by the process of the human body detection step, an acquisition step of acquiring a face image of the human body approaching the game table as a face image of the person to be verified;
A similarity collation step of calculating and collating the similarity between the face image of the person to be collated acquired by the processing of the acquisition step and the face image of the accumulator accumulated in the accumulator database;
Similarity determination step of determining whether or not the face image of the person to be collated is the face image of the accumulator by comparing the similarity that is the collation result in the process of the similarity collation step with a predetermined threshold value When,
When it is determined that the face image of the person to be collated is the face image of the accumulator by the process of the similarity determination step, the face image of the accumulator is stored in association with the identification information as monitoring information. A determination result storing step;
An identification information collating step for collating the monitoring information stored in the processing of the determination result storing step and the human body detection information stored in the processing of the human body detection information storing step based on the identification information;
A notification step for notifying that an illegal act against the gaming machine has been detected when the monitoring information and the human body detection information that match the identification information exist based on the collation result in the processing of the identification information collation step. And monitoring method. A human body detecting step for detecting the approach of the human body for each game table;
Human body detection information storage step for storing human body detection information indicating that the approach of the human body is detected by the processing of the human body detection step in association with identification information for identifying the game table;
When the approach of the human body is detected by the process of the human body detection step, an acquisition step of acquiring a face image of the human body approaching the game table as a face image of the person to be verified;
A similarity collation step of calculating and collating the similarity between the face image of the person to be collated acquired by the processing of the acquisition step and the face image of the accumulator accumulated in the accumulator database;
Similarity determination step of determining whether or not the face image of the person to be collated is the face image of the accumulator by comparing the similarity that is the collation result in the process of the similarity collation step with a predetermined threshold value When,
When it is determined that the face image of the person to be collated is the face image of the accumulator by the process of the similarity determination step, the face image of the accumulator is stored in association with the identification information as monitoring information. A determination result storing step;
An identification information collating step for collating the monitoring information stored in the processing of the determination result storing step and the human body detection information stored in the processing of the human body detection information storing step based on the identification information;
A notification step for notifying that an illegal act against the gaming machine has been detected when the monitoring information and the human body detection information that match the identification information exist based on the collation result in the processing of the identification information collation step. A program that causes a computer to execute processing including and.

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