JP2008253553A - System for narrowing down wrongful act suspect, wrongful act suspect information processing device, and wrongful act suspect information processing program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a system for narrowing down a wrongful act suspect, a wrongful act suspect information processing device, and a wrongful act suspect information processing program for efficiently monitor a wrongful act suspect. <P>SOLUTION: A moving object recognition device 20 analyzes a photographed video from a monitoring camera 10 and determines a wrongful act suspect. The moving object recognition device 20, when determining the wrongful act suspect, transmits the determination result to a system server 40. The system server 40 which has received it, register the received information to a database 52 for report data and performs alert processing by displaying a picture including the video from the monitoring camera 10 which has photographed the wrongful act suspect. The system server 40 also transmits information related to the wrongful act suspect (for example, including face information about the wrongful act suspect (a face video, a face image, and the like)) to a hall computer 71 and processes information related to the wrongful act suspect in cooperation with a game system. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a fraud suspect narrowing system, a fraud suspect information processing apparatus, and a fraud suspect information processing program that narrow down persons who have a high probability of performing fraudulent activities in a game hall that provides game services to players.

  In the amusement hall, various measures are taken against a person who engages in a fraudulent act (hereinafter referred to as a fraudulent act) called a goto act that obtains a ball or the like in an unauthorized manner. For example, when a fraudulent person performs a fraudulent act in a game hall where a parking lot is provided, the fraudulent person often comes on foot without using the parking lot or comes by driving by another person. This is because if you come by car, you will get a foot from the license plate, or it will be difficult to escape.

As a countermeasure in such a game hall,
1) Monitor the surveillance camera provided at the game hall 2) Set up a guardman at the entrance of the game hall to monitor the visitors 3) Car number (number plate) of the vehicle entering the parking lot and the suspicious person in advance The suspicious person is monitored by comparing with a database in which the vehicle number of the vehicle owned by the determined person (driver) is stored (see, for example, Patent Document 1).
Etc.
JP-A-2005-222159

  However, in the case of 1), it is necessary to monitor all the players, and since it is necessary to always watch the monitoring video, it can be said that it is a realistic countermeasure from the viewpoint of labor and efficiency. Absent.

  In the case of 2), since it is necessary to hire a guard man, labor costs (for example, 5 million yen / person year) are increased. For example, if there are multiple entrances, you have to hire more guardmen.

  In the case of 3), if the car number of the vehicle to be monitored is not known in advance, it will not be possible to identify the person who acts illegally. It is hard to say.

  Accordingly, an object of the present invention is to provide a fraud suspect narrowing system, a fraud suspect information processing apparatus, and a fraud suspect information processing program that can efficiently monitor fraud suspects.

  In order to achieve the above object, the invention of a fraud suspect narrowing system according to claim 1 includes a photographing means for photographing a video of a predetermined area in a playground site, and a moving body by analyzing a video photographed by the photographing means. Detecting means for detecting, determining means for determining an improper suspect based on the motion of the moving body detected by the detecting means, and output means for outputting information relating to the improper suspect determined by the determining means To do.

  In the invention of claim 2, in the invention of claim 1, the photographing means photographs a moving body that comes into the playground site, and the determining means is configured to detect that the moving body detected by the detecting means is a human. A first discriminating means for discriminating whether or not the mobile body has been discriminated as a person by the first discriminating means and has passed through a predetermined line set in a video image taken by the imaging means in a predetermined direction. In this case, a second discriminating means for discriminating that the mobile body is the fraud suspect is provided.

  According to a third aspect of the present invention, in the second aspect of the invention, the first determining means determines whether the person is a person based on at least one of a size of the moving body or a moving speed of the moving body. Do.

  According to a fourth aspect of the present invention, in the first aspect of the present invention, the photographing unit photographs a moving body that enters and exits a parking lot in a game hall site, and the determination unit is detected by the detection unit. First discriminating means for discriminating whether or not the moving body is a vehicle, and the moving body discriminated as a vehicle by the first discriminating means leaving the parking lot within a predetermined time And a second discriminating means for discriminating a person who has boarded the vehicle as the fraud suspect.

  According to a fifth aspect of the present invention, in the fourth aspect of the present invention, the photographing unit photographs at least a vehicle number of the vehicle.

  According to a sixth aspect of the present invention, in the fourth aspect of the invention, the second discriminating unit is configured to board a vehicle in which a difference between the vehicle entry time and the vehicle exit time taken by the photographing means is within a predetermined time. It is determined that the person who has been accused of fraud.

  The invention according to claim 7 is the information according to claim 4, wherein the information indicates the transition of visitors by time zone based on the entry / exit time of a vehicle entering / exiting the entrance / exit of the parking lot taken by the photographing means. Is further provided with a visitor transition information output means.

  According to an eighth aspect of the present invention, in the first aspect of the invention, the output means outputs information relating to the fraudulent suspect to an external recording medium or a paper medium.

  The invention of claim 9 further comprises storage means for storing information relating to the fraud suspect in the invention of claim 1, wherein the storage means is a game for overall control of a game by a player in a game hall. In response to cooperation of the game information of the fraud suspect from the system, the game information and information related to the fraud suspect are associated and stored.

  The invention of claim 10 further comprises a recording means for recording the video imaged by the imaging means in the invention of claim 1, wherein the output means is for the unauthorized suspect recorded by the recording means. Outputs information including face information.

  The invention according to claim 11 is the invention according to claim 1, wherein the output means outputs information relating to the fraudulent suspect to a gaming system that performs overall control of the game by the player in the game hall. The system instructs at least one of the instructions to monitor an illegal suspect to an employee based on the information related to the illegal suspect or to take an image of the illegal suspect based on the information related to the unauthorized suspect by means of on-site shooting means. carry out.

  Further, the invention of claim 12 is the invention according to any one of claims 1 to 11, wherein the information related to the fraud suspect is the date and time when the fraud suspect was identified, the determined factor, It includes at least one of fraudulent suspect's face information.

  Further, in the invention of claim 13, in the invention of claim 1, when it is determined that the moving body photographed by the photographing means is a person, the moving body determined to be the person is within a predetermined area. And a suspicious person discriminating means for discriminating that the moving body is a suspicious person when the mobile object exists for a predetermined time.

  Further, the invention of the fraud suspect information processing apparatus according to claim 14 is a storage means for storing information related to the fraud suspect determined based on the movement of the moving body in the video image of the predetermined area in the game site site. Acquisition means for acquiring a video image of the fraud suspect based on information related to the fraud suspect stored in the storage means, information relating to the fraud suspect stored in the storage means, and the acquisition means Output means for outputting at least a part of information based on the video image of the fraudulent suspect.

  Further, the invention of the fraud suspect information processing apparatus according to claim 15 is discriminated by a discriminating means for discriminating an illegal suspect based on the movement of a moving body in a video image of a predetermined area in a game hall site, and the discriminating means. Storage means for storing information relating to the fraud suspect, acquisition means for obtaining a photographed video of the fraud suspect based on information relating to the fraud suspect stored in the storage means, and storage means stored in the storage means Output means for outputting at least a part of information related to the fraudulent suspect and information based on the captured video of the fraudulent suspect obtained by the obtaining means.

  According to another aspect of the present invention, there is provided a storage device for storing information relating to a fraudulent suspect determined based on an action of a moving object in a video image of a predetermined area in a game hall site. Means for acquiring a captured video of the fraudulent suspect based on information relating to the fraudulent suspect stored in the storage means, information relating to the fraudulent suspect stored in the storage means, and the acquisition means And functioning as an output means for outputting at least a part of the information based on the video image of the illegal suspect.

  The invention of the fraud suspect information processing program according to claim 17 includes: a discriminating means for discriminating a fraud suspect based on the movement of a moving body in a video image of a predetermined area in a game hall site; Storage means for storing information related to the identified fraud suspect, acquisition means for acquiring a photographed image of the fraud suspect based on information related to the fraud suspect stored in the storage means, stored in the storage means It functions as an output means for outputting at least a part of the information related to the fraud suspect and the information based on the captured video of the fraud suspect obtained by the obtaining means.

  According to the fraud suspect screening system of claims 1 to 6, 10, and 12, it is possible to focus on highly probable persons who engage in fraudulent activities, thereby improving monitoring efficiency and reducing monitoring labor. it can. Also, this monitoring can prevent fraud.

  Further, according to the unauthorized suspect narrowing system according to claim 7, it is possible to know the trends of the players by time period, and it is also possible to specify an illegally parked vehicle that has not been released after warehousing.

  In addition, according to the system for narrowing down a suspected person for improper claim 8, it is easy even when the police request the submission of investigation materials or evidence materials related to a suspected person (in some cases, a cheating agent). Yes.

  Further, according to the fraud suspect narrowing system according to claims 9 and 11, it is possible to link between gaming systems such as information input from the gaming system and information output to the gaming system.

  In addition, according to the fraud suspect narrowing system of claim 13, it is possible to cope with a suspicious person who wanders in a parking lot, a car vandalism, or the like.

  In addition, according to the fraud suspect information processing apparatus according to claims 14 and 15, it is possible to focus on a highly probable person who engages in fraudulent activities, thereby improving the monitoring efficiency and reducing the monitoring effort. . Also, this monitoring can prevent fraud.

  In addition, according to the fraud suspect information processing program of claims 16 and 17, it is possible to focus on a highly probable person who engages in fraudulent activities, thereby improving the monitoring efficiency and reducing the monitoring effort. . Also, this monitoring can prevent fraud.

  Embodiments of a fraud suspect narrowing system, a fraud suspect information processing apparatus, and a fraud suspect information processing program according to the present invention will be described below in detail with reference to the accompanying drawings. In this embodiment, the case of applying the fraud suspect screening system according to the present invention to a pachinko hall will be described as an example. However, the present invention is not limited to this, and an amusement facility that provides a gaming service similar to the pachinko hall, It can also be applied to casino facilities.

  FIG. 1 is an overhead view of the pachinko hall site (pachinko hall, parking lot).

  The parking lot provided in the pachinko hall is provided with one or more entry / exit gates (in this case, two entry / exit gates), and the player may refer to this gate as an automobile (hereinafter referred to as a vehicle). Pass through the parking lot and get in and out of the parking lot. At the entrance / exit gate, a surveillance camera is provided to take pictures of vehicles and people passing through the gate. The surveillance camera is not limited to the entry / exit gate, and can be installed in various places (for example, surveillance camera 3 and surveillance camera 4). This is for monitoring the intrusion of a suspicious person into the site, vandalism, etc.

  Here, the outline of the system configuration in the pachinko hall and parking lot shown in FIG. 1 will be described with reference to FIG.

  This system configuration is largely divided into a gaming system and a fraud suspect screening system. Note that the gaming system, the fraud suspect screening system, and the devices incorporated in these systems include a network 14 composed of a LAN (Local Area Network), a WAN (Wide Area Network), etc. The unit 73 and the gaming table 74 are connected to each other via a BNC connection cable (between the monitoring camera 10, the distributor 11, the camera video recording device 12, and the moving object recognition device 20).

  The gaming system is connected to various devices such as a pachinko machine, a slot gaming machine 74, an inter-unit unit 73, an island unit 72, an intercom device 75, an in-store surveillance camera 76, etc., centered on the hall computer 71. The gaming system fulfills the function of providing gaming services to the player through the gaming table. Since each device constituting the gaming system has substantially the same function as that of the conventional device, the description thereof is omitted.

  The fraud suspect screening system is connected to various devices such as a monitoring camera 10, a distributor 11, a camera video recording device 12, a moving object recognition device 20, a printer 13, and the like, with a system server 40 as a center. The fraud suspect screening system performs a function of narrowing down a person who has a high probability of performing a fraud based on an image captured by the surveillance camera 10 (hereinafter, such person is referred to as a fraud suspect).

  Here, in order to make the explanation of the fraud suspect narrowing system in this embodiment easy to understand, the flow of operations when narrowing down the suspected frauds will be briefly described. In the present embodiment, a person who visits the pachinko hall site on foot is determined as an improper suspect.

  In the surveillance camera 10, the vicinity of the entrance / exit gate provided in the parking lot is imaged. The captured images are sequentially input to the camera image recording device 12 and the moving object recognition device 20 via the distributor 11. The captured video input to the camera video recording device 12 is stored as camera video data, and the captured video input to the moving object recognition device 20 is determined as an unauthorized suspect based on the captured video. It is.

  Here, a method of discriminating an illegal suspect will be described. If the video shown in FIG. 3 is captured by the monitoring camera 10, the moving object recognition device 20 that has received the captured video first detects a moving object in the image and determines whether or not the moving object is a person. Make a decision. Here, when it is determined that the person is a person, the monitoring is further performed until the person passes through the prohibited line shown in FIG. 4 provided in the captured image in a predetermined direction. When it is confirmed that the person has passed through the prohibited line in a predetermined direction, the person is determined to be a suspect. Whether the moving body in the captured image is a person or not is determined in advance by setting size information corresponding to the average size of the person and movement speed information corresponding to the average movement speed of the person as setting information. It is done by comparing with this information. As a result, even if an animal, a motorcycle, or the like passes through the prohibited line in a predetermined direction, they are excluded.

  Now, when it is confirmed that a person has passed through the prohibited line in a predetermined direction, the moving object recognition device 20 that has received this identifies the person as a fraud suspect, and the date of the determination, Information including the time, the number of the surveillance camera that captured the video, the determination factor (discrimination information, detailed information), and the like (hereinafter, this information is referred to as fraud suspect discrimination information) is transmitted to the system server 40.

  The system server 40 registers the received fraud suspect discrimination information in the notification data database 52 (see FIG. 7), obtains a captured video corresponding to the fraud suspect discrimination information from the camera video recorder 12, and Alert processing is performed, for example, by displaying a screen (see FIG. 8) that includes a video from the surveillance camera 10 that captured the fraudulent suspect. Further, when the data registration in the notification data database 52 is completed, the system server 40 notifies the moving body recognition apparatus 20 to that effect. This is to delete the fraud suspect determination information corresponding to the notification held in the moving body recognition apparatus 20. As a result, unnecessary fraud suspect discrimination information does not remain in the moving object recognition device 20, so that system resources (storage areas) in the moving object recognition device 20 can be effectively used.

  When this series of processing is completed, the system server 40 transmits information related to the fraud suspect (including face information (face image, face image, etc.) of the fraud suspect) to the hall computer 71. That is, information relating to the fraud suspect is linked from the fraud suspect screening system to the game system. As a result of this cooperation, information related to the suspected fraud is transmitted to the employee's income, and monitoring of the suspected fraud is focused on the in-store surveillance camera 76 in the pachinko hall. become. When the system server 40 and the hall computer 71 are not connected to the network 14 or the like, the cooperation cannot be performed. By transmitting information related to the suspected fraud to the unit 72, it is possible to realize inter-system cooperation similar to the above.

  As a result of monitoring, when it is confirmed by the employee's visual observation or the video of the monitoring camera that the fraudulent suspected of cheating, the data registered in the notification data database 52 of the system server 40 or the data The recorded video in the camera video recording device 12 corresponding to the above or a captured image thereof is printed from the printer 13 or written to an external recording medium using a CD / DVD drive or the like. As a result, it is possible to easily cope with a case where a police officer, a guardman, or the like is required for investigation materials, evidence materials, etc. of information relating to a fraudulent person (may be a fraud suspect).

  Next, the configuration of the moving object recognition device 20 and the system server 40 shown in FIG. 2 will be described in detail with reference to FIGS. 5 and 6.

  First, a part of the functional configuration of the moving object recognition apparatus 20 will be described with reference to FIG.

  The moving body recognition apparatus 20 includes a control unit 21, a storage unit 22, and a communication unit 23 as its functional configuration. The moving object recognition apparatus 20 may be provided with processing functions such as a display unit and an operation unit, but is not an essential component, and therefore, illustration and description of the processing function are omitted here.

  The control unit 21 includes a CPU (Central Processing Unit), a memory such as a ROM (Read Only Memory), a RAM (Random Access Memory), and the like, and fulfills a function of performing overall control of processing in the moving body recognition apparatus 20.

  The storage unit 22 is composed of an HDD (Hard Disk Drive) or the like, and functions as a storage device that stores various data. The storage unit 22 stores various programs and OS (Operating System), as well as various setting information, fraud suspect discrimination information (temporary), and the like. The setting information includes the prohibition line position information described above with reference to FIG. 4, the direction information of the prohibition line passing direction, the size information corresponding to the average size of the person, and the movement speed corresponding to the average movement speed of the person. Contains information.

  The communication unit 23 includes a network card, a BNC connection terminal, and the like, and functions as a communication interface that controls communication between the moving object recognition device 20 and other devices. The above is description of the various processing functions which comprise the moving body recognition apparatus 20. FIG. In FIG. 5, for easy understanding of the description, a configuration that specifically realizes each processing function is illustrated, but this is only an example, and each processing function is realized by a configuration other than this. May be.

  Next, a part of the functional configuration of the control unit 21 will be described. The various processing functions realized on the control unit 21 are mainly realized by the CPU executing a program stored in the storage unit 22.

  The control unit 21 includes, as its functional configuration, a moving body detection unit 31, a person determination unit 32, a fraud suspect determination unit 33, a determination information creation unit 34, a determination information deletion unit 35, and a determination information transmission unit 36. And is configured.

  The moving body detection unit 31 performs a function of analyzing a video taken by the monitoring camera 10 and detects a moving body, and the person determination unit 32 has a function of determining whether or not the detected moving body is a person. The fraud suspect discriminating unit 33 fulfills a function of discriminating whether or not the moving body discriminated as the person is a fraud suspect. The fraud suspect discriminating unit 33 discriminates a person who passes the forbidden line described in FIG. 4 in a predetermined direction as a fraud suspect. Note that it is not always necessary to use conditions such as a prohibited line, a predetermined direction, and a size and speed for identifying a person to determine an illegal suspect, and these conditions may be used selectively or other conditions. For example, when a moving body that moves at a predetermined size and at a predetermined speed without using the prohibited line appears in the captured video, the moving body may be uniformly determined as an improper suspect.

  The discrimination information creation unit 34 functions to create fraud suspect discrimination information. As described above, the fraud suspect discrimination information includes date, time, surveillance camera number, discrimination factor (discrimination information, detailed information), and the like.

  The discrimination information deletion unit 35 has a function of deleting the fraud suspect discrimination information. As described above, the fraud suspect determination information is deleted from the system server 40 after the fraud suspect determination information corresponding to the notification data database 52 of the system server 40 has been registered. It is done at the timing.

  The discrimination information transmission unit 36 functions to transmit fraud suspect discrimination information to the system server 40 via the communication unit 23.

  Next, a part of the functional configuration of the system server 40 will be described with reference to FIG.

  The system server 40 includes a display unit 41, an operation unit 42, a control unit 43, a storage unit 44, an external recording medium processing unit 45, and a communication unit 46 as its functional configuration.

  The display unit 41 is a display device such as a display and has a function of displaying various information. The operation unit 42 is an input device such as a keyboard or a mouse, and fulfills a function of inputting an instruction from the operator into the device.

  The control unit 43 includes a CPU, a memory such as a ROM and a RAM, and the like, and fulfills a function of performing overall control of processing in the system server 40.

  The storage unit 44 is composed of an HDD or the like, and functions as a storage device that stores various data. In addition to storing various programs and OSs, the storage unit 44 stores monitoring camera mapping data 51, a notification data database 52, and alert operation setting information 53. The monitoring camera mapping data 51 is information that associates the number of the monitoring camera with the installation location of the monitoring camera, and the report data database 52 is data based on fraud suspect determination information from the moving object recognition device 20. Is a managed database, and adopts the data configuration (year / month / day, time, surveillance camera number, discrimination factor (discrimination information, detailed information)) shown in FIG. The alert operation setting information 53 is information indicating what kind of alert processing is performed when an unauthorized suspect is confirmed. In the present embodiment, the case where the storage unit 44 of the system server 40 stores and manages the notification data database 52 will be described. However, the present invention is not limited to this. The database 52 may be stored and managed.

  The external recording medium processing unit 45 is composed of a CD / DVD drive or the like, and fulfills a function of writing / reading data to / from an external recording medium such as a CD-R or DVD-RW / -RAM. The external recording medium may be any recording medium that can play the role of taking out the data in the system server 40 to the outside of the server, such as an MO (Magneto-Optical disk) or a USB (Universal Serial Bus) memory. Also good.

  The communication unit 46 is composed of a network card or the like, and functions as a communication interface that controls communication between the system server 40 and the network. The above is the description of the various processing functions that constitute the system server 40. In FIG. 6, for easy understanding of the description, a configuration that specifically realizes each processing function is illustrated, but this is merely an example, and each processing function is realized by a configuration other than this. May be.

  Next, a part of the functional configuration of the control unit 43 described above will be described. Various processing functions realized on the control unit 43 are mainly realized by the CPU executing a program stored in the storage unit 44.

  The control unit 43 includes, as its functional configuration, an illegal suspect information acquisition unit 60, a report data registration unit 61, a warning sound processing unit 62, a display processing unit 63, an illegal suspect information transmission unit 64, and a print. An output processing unit 65, an external recording medium output processing unit 66, and an alert processing control unit 67 are provided.

  The fraud suspect information acquisition unit 60 performs a function of obtaining information related to the fraud suspect. That is, the fraud suspect identification information is acquired (received) from the moving body recognition device 20, and a captured video (video in which the fraud suspect is captured) corresponding to the fraud suspect discrimination information is acquired from the camera video recording device 12. Or

  The report data registration unit 61 functions to register data in the report data database 52. That is, data is registered in the report data database 52 based on the fraud suspect discriminating information from the moving object recognition device 20.

  The warning sound generation processing unit 62 has a function of generating a warning sound from a speaker (not shown) or the like.

  The display processing unit 63 functions to display various screens on the display unit 41. Here, the fraud suspect monitoring screen will be described with reference to FIG. On the fraudulent suspect monitoring screen, along with the video where the fraudulent suspect was photographed, the installation location of the camera that photographed the fraudulent suspect based on the surveillance camera mapping data 51 is also displayed. In this case, it is indicated that the video of the surveillance camera with the surveillance camera number 2 is displayed. In addition, information that the fraud suspect has been identified is displayed at the bottom of the screen (left side), and a warning message is displayed at the bottom of the screen (right side) for a predetermined time immediately after the fraud suspect is determined. The In addition to the display of this wording, the background color of the wording may be changed (for example, from a black background to a red background) to alert the operator.

  The fraud suspect information transmitting unit 64 performs a function of transmitting information related to the fraud suspect to the gaming system. The information related to the fraud suspect is configured to include all or a part of the data registered in the report data database 52, the recorded video in the camera video recording device 12 corresponding to the data, or the captured image thereof. . In the present embodiment, the fraud suspect information transmission unit 64 uses the gaming system as the transmission destination of information related to the fraud suspect, but this transmission destination can be changed as appropriate. For example, the transmission destination may be a security company.

  The print output processing unit 65 has a function of causing the printer 13 to print information related to the fraud suspect. That is, the printer 13 is instructed to print information relating to the fraudulent suspect.

  The external recording medium output processing unit 66 has a function of outputting information related to the unauthorized suspect to the external recording medium. Data output to the external recording medium by the external recording medium output processing unit 66 is performed by controlling the external recording medium processing unit 45 described above.

  The alert processing control unit 67 has a function of performing overall control of alert processing in the system server 40. In the alert processing, each processing function configured on the control unit 43 described above operates based on the control of the alert processing control unit 67. Note that alert control in the alert processing control unit 67 is performed based on the alert operation setting information 53.

  The above is the description of the system server 40. Although the functional configurations of the moving object recognition device 20 and the system server 40 have been described with reference to FIGS. 5 and 6, the functional configurations provided in these devices are not necessarily realized as illustrated above. It is not necessary to be performed, and it is sufficient that all or a part of it is realized in any device in the system.

  Here, the flow of processing in the fraud suspect screening system shown in FIG. 2 will be described with reference to FIGS. 9, 10, and 11.

  First, the flow of processing in the moving object recognition apparatus 20 will be described with reference to FIG.

  The moving body recognition device 20 analyzes a captured video input from the monitoring camera 10 and monitors a moving body that appears in the video. When receiving notification that the notification data has been registered from the system server 40 during this monitoring (NO in step S101, YES in step S102), the discrimination information deleting unit 35 responds to the received notification. The fraud suspect discrimination information to be deleted is deleted (step S103).

  Here, when a moving body appears in the captured video, the moving body recognition apparatus 20 detects the moving body in the moving body detection unit 31 (YES in step S101), and the detected moving body in the person determination unit 32 is detected. It is determined whether or not the person is a person. As a result of the determination, if the detected moving body is not a person (NO in step S104), the moving body recognition apparatus 20 returns to the monitoring process in step S101 again. However, if the detected moving body is a person. (YES in step S104), the moving body recognition apparatus 20 determines whether the person is an unauthorized suspect in the unauthorized suspect determiner 33. That is, it is monitored whether or not the moving body determined to be a person passes through the prohibited line in a predetermined direction (step S105).

  As a result of the monitoring, if the passage of the prohibition line in the predetermined direction is not confirmed (NO in step S106), the moving object recognition apparatus 20 returns to the monitoring process in step S101 again. When the passage of the prohibited line is confirmed (YES in step S106), the moving object recognition apparatus 20 determines that the person is an improper suspect, and the discrimination information creation unit 34 stores the fraud suspect discrimination information. Create (step S107). Then, after the created illegal suspect discrimination information is stored in the storage unit 22 (step S108), the discrimination information transmission unit 36 transmits the information to the system server 40 (step S109). Thereafter, the moving body recognition apparatus 20 again performs the monitoring in step S101.

  Next, a processing flow in the system server 40 will be described with reference to FIG.

  The system server 40 is on standby until it receives fraud suspect determination information from the moving object recognition device 20 or receives an output instruction from the operator to an external recording medium or the like (NO in step S201, then step S202). NO). Here, when an output instruction to the external recording medium is received (YES in step S202), the external recording medium processing unit 45 determines that the instructed illegal suspect is based on the control of the external recording medium output processing unit 66. Write related information to an external recording medium. Thereafter, the system server 40 again shifts to the standby state in step S201 and step S202. If the output instruction received from the operator is an output instruction to a paper medium, the print output processing unit 65 instructs the printer 13 to print information related to the unauthorized suspect.

  If the fraud suspect determination information is received during standby in steps S201 and S202 (YES in step S201), the system server 40 uses the report data registration unit 61 to store the received fraud suspect determination information. While registering in the notification data database 52 (step S204), the moving body recognition apparatus 20 is notified that the registration has been completed (step S205).

  When this notification is completed, the system server 40 performs alert processing described later (step S206), and then shifts to the standby state in step S201 and step S202 again.

  Here, the alert processing flow in step S206 will be described with reference to FIG.

  When this process is started, the alert process control unit 67 determines whether or not to display a video image of the improper suspect on the display unit 41 based on the alert operation setting information 53. As a result, if the setting for not displaying is made (NO in step S301), the process proceeds to the determination for the next alert processing, but if the setting for displaying is made (step S301). YES), the fraudulent suspect information acquisition unit 60 obtains a shot video corresponding to the fraud suspect discrimination information from the camera video recording device 12 (step S302), and the display processing unit 63 includes the acquired shot video. A screen is displayed on the display part 41 (step S303). At this time, a warning display or the like may be performed at the same time to alert the operator.

  Subsequently, the alert processing control unit 67 determines whether or not to sound a warning sound from the speaker based on the alert operation setting information 53. As a result, if the setting is made to not ring (NO in step S304), the process proceeds to the determination for the next alert process, but if the setting is set to ring (step S304). YES), the warning sound generation processing unit 62 sounds a warning sound from the speaker (step S305).

  Subsequently, the alert processing control unit 67 determines whether to cooperate with the gaming system based on the alert operation setting information 53. As a result, if the setting for not cooperating has been made (NO in step S306), this processing is terminated as it is, but if the setting for cooperating has been made (YES in step S306). ) In the fraud suspect information transmission unit 64, information related to the fraud suspect is transmitted to the hall computer 71 to perform inter-system cooperation (step S307). Thereafter, this process ends.

  The alert process in the system server 40 described with reference to FIG. 11 is merely an example, and other alert processes may be performed. For example, alert processing such as turning on a patrol lamp may be performed.

  Next, Example 2 will be described. First, the outline of the system configuration in the pachinko hall and parking lot according to the second embodiment will be described with reference to FIG. In addition, since what attached | subjected the code | symbol same as FIG. 2 demonstrated in the said Example 1 operate | moves substantially the same, the description may be abbreviate | omitted. Here, only differences from the first embodiment will be described.

  In the surveillance camera 10 according to the second embodiment, the vehicle of the automobile passing through the entry / exit gate is photographed, not a walking visitor. As shown in FIG. 13, the captured image includes a passenger and a license plate of the vehicle (hereinafter referred to as a vehicle number) when entering the vehicle, and includes a vehicle number of the vehicle when leaving the vehicle.

  In the second embodiment, a vehicle number recognition device 80 is provided instead of the moving body recognition device 20 in the first embodiment. The vehicle number recognition device 80 recognizes the vehicle number from the captured video received from the monitoring camera 10. Furthermore, in the second embodiment, a vehicle data database 54 is provided in addition to the report data database 52 in the first embodiment.

  Here, in order to make the explanation of the fraud suspect narrowing system according to the second embodiment easy to understand, the flow of operations when narrowing down the suspected frauds will be briefly described. In the second embodiment, a person who has boarded a vehicle that has stayed in a parking lot within a predetermined time is determined as an unauthorized suspect.

  In the surveillance camera 10, the vicinity of the entrance / exit gate provided in the parking lot is imaged. The captured images are sequentially input to the camera image recording device 12 and the car number recognition device 80 via the distributor 11. The captured video input to the camera video recording device 12 is stored as camera video data, and the captured video input to the car number recognition device 80 can recognize the vehicle number based on the captured video. Done.

  When the vehicle number recognizing device 80 recognizes the vehicle number of the vehicle that has passed through the loading / unloading gate, the vehicle number recognizing device 80 recognizes the date, time, and camera number that captured the video. , Vehicle number information (region, vehicle type, application, serial number), information including a loading / unloading flag indicating whether the vehicle is entering or leaving (hereinafter, this information is referred to as entering / exiting vehicle information) It transmits to the system server 40.

  The system server 40 registers the received entry / exit vehicle information in the vehicle data database 54 and notifies the vehicle number recognition device 80 that the data registration in the vehicle data database 54 has been completed. This is to delete the entry / exit vehicle information corresponding to the notification held in the vehicle number recognition device 80. Thereby, since unnecessary entry / exit vehicle information does not remain in the vehicle number recognition device 80, system resources (storage areas) in the vehicle number recognition device 80 can be effectively used.

  The processing performed on the vehicle that enters the entry / exit gate described above is also performed when the vehicle exits the entry / exit gate. Here, when the entering / exiting vehicle information recognized from the vehicle to be delivered is transmitted to the system server 40, the system server 40 that has received the vehicle has stayed in the parking lot based on the vehicle number of the vehicle. The time is calculated, and it is determined whether an improper suspect has boarded the vehicle based on the calculated time. Specifically, if the parking lot staying time is shorter than a predetermined time (for example, 5 minutes), it is determined that an improper suspect has boarded the vehicle. This is because many of the fraudsters tend to come by other people's driving, and such vehicles often leave the fraudster in the parking lot and then leave in a short time.

  As a result of the determination, if it is determined that the person who has boarded the vehicle is a fraud suspect, the system server 40 stores the notification data database 52 based on the data registered in the vehicle data database 54 and the like. While registering information related to the fraud suspect, the captured video recorded at the time of entering the vehicle is acquired from the camera video recording device 12, and a screen including the video from the surveillance camera 10 that captured the illegal suspect boarding vehicle is displayed. Etc. to perform alert processing. The reason why the captured video at the time of entering the vehicle is that the captured video at the time of entering the vehicle includes the face image of the passenger as described above with reference to FIG.

  When this series of processing is completed, the system server 40 transmits information relating to the fraud suspect (for example, including face information of the fraud suspect) to the hall computer 71. That is, information relating to the fraud suspect is linked from the fraud suspect screening system to the game system. As a result of this cooperation, information related to the suspected fraud is transmitted to the employee's income, and monitoring of the suspected fraud is focused on the in-store surveillance camera 76 in the pachinko hall. become. When the system server 40 and the hall computer 71 are not connected to the network 14 or the like, the cooperation cannot be performed. By transmitting information related to the suspected fraud to the unit 72, it is possible to realize inter-system cooperation similar to the above.

  As a result of monitoring, when it is confirmed by the employee's visual observation or the video of the monitoring camera that the fraudulent suspected of cheating, the data registered in the notification data database 52 of the system server 40 or the data The recorded video in the camera video recording device 12 corresponding to the above or a captured image thereof is printed from the printer 13 or written to an external recording medium using a CD / DVD drive or the like. As a result, it is possible to easily cope with a case where a police officer, a guardman, or the like is required for investigation materials, evidence materials, etc. of information relating to a fraudulent person (may be a fraud suspect).

  Next, the configuration of the vehicle number recognition device 80 and the system server 40 shown in FIG. 12 will be described in detail with reference to FIGS. 14 and 15.

  First, a part of the functional configuration of the vehicle number recognition device 80 will be described with reference to FIG.

  The vehicle number recognition device 80 includes a control unit 81, a storage unit 82, and a communication unit 83 as its functional configuration. The vehicle number recognition device 80 may be provided with processing functions such as a display unit and an operation unit, but is not an essential component, and therefore, illustration and description of the processing function are omitted here.

  The control unit 81 includes a CPU, a memory such as a ROM and a RAM, and the like, and fulfills a function of performing overall control of processing in the vehicle number recognition device 80.

  The storage unit 82 is composed of an HDD or the like, and functions as a storage device that stores various data. The storage unit 82 stores various programs and OSs, as well as various setting information, entry / exit vehicle information (temporary), and the like.

  The communication unit 83 includes a network card, a BNC connection terminal, and the like, and functions as a communication interface that controls communication between the vehicle number recognition device 80 and other devices. The above is description of the various processing functions which comprise the vehicle number recognition apparatus 80. In FIG. 14, for easy understanding of the description, a configuration that specifically realizes each processing function is illustrated, but this is merely an example, and each processing function is realized by a configuration other than this. May be.

  Next, a part of the functional configuration of the control unit 81 will be described. The various processing functions realized on the control unit 81 are mainly realized by the CPU executing a program stored in the storage unit 82.

  The control unit 81 includes, as its functional configuration, a moving body detection unit 91, a vehicle determination unit 92, a vehicle number recognition unit 93, an entry / exit determination unit 94, a vehicle information creation unit 95, and a vehicle information deletion unit 96. The vehicle information transmission unit 97 is provided.

  The moving body detection unit 91 performs a function of analyzing a video taken by the monitoring camera 10 and detects a moving body, and the vehicle determination unit 92 functions to determine whether or not the detected moving body is a vehicle. The vehicle number recognition unit 93 fulfills the function of recognizing the vehicle number of a vehicle that has been identified as the vehicle. Note that the vehicle number recognition can be realized by a conventionally used technique, and therefore details thereof are omitted.

  The entry / exit determination unit 94 performs a function of determining whether the video imaged by the monitoring camera 10 is an image of an entering vehicle or an exit vehicle. There are several determination methods. For example, in the case of determining by analysis of the captured video, when the moving body appears from the upper part in the captured video and the moving body gradually increases, the lower part in the captured video is stored. When the moving body appears from the beginning and the moving body gradually becomes smaller, it is determined that the car is out. Moreover, when the monitoring camera which image | photographs a warehousing vehicle and a leaving vehicle is provided separately, it can be judged whether it is a warehousing vehicle or a leaving vehicle from the number etc. of a monitoring camera.

  The vehicle information creation unit 95 fulfills a function of creating entry / exit vehicle information. As described above, the entry / exit vehicle information includes the date, time, surveillance camera number that captured the video, vehicle number information (region, vehicle type, application, serial number), and the vehicle is either entry or exit. An entry / exit flag or the like is included.

  The vehicle information deletion unit 96 has a function of deleting entry / exit vehicle information. As described above, the entry / exit vehicle information is deleted when the entry / exit vehicle information corresponding to the vehicle data database 54 of the system server 40 is registered and a notification to that effect is sent from the system server 40. Done in

  The vehicle information transmission unit 97 fulfills a function of transmitting entry / exit vehicle information to the system server 40 via the communication unit 83.

  Next, a part of the functional configuration of the system server 40 will be described with reference to FIG. Here, since there is no particular difference in the configuration other than the control unit 43 and the storage unit 44, only the configuration of the control unit 43 and the storage unit 44 will be described.

  The control unit 43 is newly provided with a fraud suspect determination unit 68 and a vehicle data registration unit 69. The fraud suspect discriminating unit 68 performs a function of discriminating whether or not the person on the vehicle is a fraud suspect. As described above, this determination is made based on the time that the vehicle has stayed in the parking lot.

  The vehicle data registration unit 69 has a function of registering data in the vehicle data database 54. That is, data is registered in the vehicle data database 54 based on the entering / exiting vehicle information from the vehicle number recognition device 80.

  The storage unit 44 is provided with a vehicle data database 54. The vehicle data database 54 is a database in which data based on the entering / exiting vehicle information from the vehicle number recognition device 80 is managed, and the data configuration (year / month / day, time, surveillance camera number, Car number information (area, vehicle type, application, serial number), and entry / exit flag). Further, in the report data database 52 according to the second embodiment, data related to a vehicle on which a person who has been identified as an unauthorized suspect is on board is managed, and the data structure (date, date, Time, surveillance camera number, discriminating factor, vehicle number information (region, vehicle type, application, serial number)) are taken. As described in the first embodiment, these databases may be managed by a dedicated server or the like.

  The above is the description of the system server 40. Although the functional configurations of the vehicle number recognition device 80 and the system server 40 have been described with reference to FIGS. 14 and 15, the functional configurations provided in these devices are not necessarily as illustrated above. It is not necessary to be realized, and it is sufficient that all or part of it is realized in any device in the system.

  Here, the flow of processing in the fraud suspect screening system shown in FIG. 12 will be described with reference to FIGS.

  First, the flow of processing in the vehicle number recognition device 80 will be described with reference to FIG.

  The vehicle number recognition device 80 analyzes a captured video input from the monitoring camera 10 and monitors a moving object appearing in the video. If the vehicle data is registered from the system server 40 during this monitoring (NO in step S401, YES in step S402), the vehicle information deletion unit 96 responds to the received notification. The entry / exit vehicle information to be deleted is deleted (step S403).

  Here, when a moving body appears in the captured video, the vehicle number recognition device 80 detects the moving body in the moving body detecting unit 91 (YES in step S401), and the detected moving body in the vehicle determining unit 92. It is determined whether or not is a vehicle. As a result of the determination, if the detected moving body is not a vehicle (NO in step S404), the vehicle number recognition device 80 returns to the monitoring process in step S401 again, but the detected moving body is a vehicle. In some cases (YES in step S404), the vehicle number recognition device 80 recognizes the vehicle number of the vehicle in the vehicle number recognition unit 93 (step S405), and in the warehousing / unloading determination unit 94, the vehicle number is recognized. It is determined whether or not it is a delivery (step S406).

  When this determination is completed, the vehicle number recognition device 80 creates entry / exit vehicle information in the vehicle information creation unit 95 (step S407). Then, after storing the created entry / exit vehicle information in the storage unit 82 (step S408), the vehicle information transmission unit 97 transmits the information to the system server 40 (step S409). Thereafter, the vehicle number recognition device 80 continues to perform the monitoring in step S401 again.

  Next, the flow of processing in the system server 40 will be described with reference to FIG.

  The system server 40 is on standby until it receives in / out vehicle information from the vehicle number recognition device 80 or receives an output instruction from the operator to an external recording medium or the like (NO in step S501, then step S502). NO). Here, when an output instruction to the external recording medium is received (YES in step S502), the external recording medium processing unit 45 determines whether the instructed illegal suspect is based on the control of the external recording medium output processing unit 66. Write related information to an external recording medium. Thereafter, the system server 40 again shifts to the standby state in step 501 and step S502. If the output instruction received from the operator is an output instruction to a paper medium, the print output processing unit 65 instructs the printer 13 to print information related to the unauthorized suspect.

  In addition, when receiving / entry vehicle information is received during standby in steps S501 and S502 (YES in step S501), the system server 40 uses the vehicle data registration unit 69 to store the received entry / exit vehicle information as vehicle data. Is registered in the database 54 (step S504), and the vehicle number recognition device 80 is notified that the registration has been completed (step S505).

  When this notification is completed, the system server 40 confirms whether the data of the same vehicle number has already been registered in the vehicle data database 54 (step S506). As a result of the confirmation, if there is no data for the same vehicle number (NO in step S507), the system server 40 returns to the standby state in steps S501 and S502 again, but if there is data for the same vehicle number (step In S507, YES, the system server 40 determines whether or not the person who has boarded the vehicle in the fraud suspect determination unit 68 is a fraud suspect. Specifically, information related to the vehicle having the same vehicle number is acquired from the vehicle data database 54, and the time spent in the parking lot is calculated from the difference between the entry time and the exit time of the vehicle (step S508). A fraudulent suspect is determined based on whether the time is within a predetermined time.

  As a result of the determination, when the parking lot stay time of the vehicle exceeds the predetermined time (NO in step S509), the system server 40 again shifts to the standby state in step S501 and step S502. If the parking lot staying time of the vehicle is within the predetermined time (YES in step S509), the system server 40 determines that the boarding person is an improper suspect, and the notification data registration unit 61 uses the vehicle data. Based on the data registered in the database 54, information related to the fraudulent suspect is registered in the report data database 52 (step S510). Thereafter, the system server 40 performs alert processing (step S511), and then shifts to the standby state in steps S501 and S502 again. In the alert process in step S510, the same process as in FIG. 11 of the first embodiment is performed, and thus the description thereof is omitted.

  Although the above is an example of typical embodiment of this invention, this invention is not limited to the Example shown to the said and drawing, It can implement suitably deform | transforming within the range which does not change the summary. .

  For example, the first embodiment and the second embodiment may be combined. In other words, it is possible to narrow down the suspected frauds for both walking visitors and vehicle visitors.

  In addition, after linking information related to the fraud suspect from the fraud suspect screening system to the gaming system, the game data (payment amount, jackpot number, etc.) of the fraud suspect is linked from the gaming system to the fraud suspect screening system. The game data may be managed in association with the report data database 52 in the server 40. In this case, game data (game time, number of jackpots, deposit amount) and the like are added to the report data database 52 as shown in FIG. In FIG. 19, the face information of the unauthorized suspect is also managed in association with each other. Here, the face information is an image obtained by photographing an improper suspect in the game at a predetermined timing (payment, out occurrence, card insertion, etc.). In this case, a face authentication server (which may be a face authentication application) or the like is newly provided to authenticate a face image that has received cooperation from this gaming system, and face information (in this case, the camera video recording device 12) in the fraud suspect screening system. It is also possible to check whether or not consistency with the face image in the image is obtained. The configuration of the notification data database 52 shown in FIG. 19 is obtained by adding game data or the like to the notification data database 52 described in FIG. 7 of the first embodiment. Similarly, the data can be added.

  In addition, there is a risk that a suspicious person (such as a surveillance camera 3 or a surveillance camera 4 described with reference to FIG. 1) or a suspicious person who is wandering in the parking lot (such as on-vehicle vandalism or mischief) is installed at an arbitrary location in the parking lot. May be discriminated. In this case, as shown in FIG. 20, in the moving object recognition apparatus 20, if a person is hesitated in a predetermined area for a predetermined time or more, it is determined that the person is a suspicious person. can do.

  Further, in the vehicle data database 54, information related to vehicles entering and leaving the parking lot is managed, so information indicating the transition of visitors by time zone based on this information may be output. . For example, it can be displayed on the screen layout shown in FIG. In this case, the incoming vehicles at each time are graphed.

  In addition, when the passenger has not been photographed in the captured video (see FIG. 13) at the time of warehousing described in the second embodiment (assuming insufficient resolution of the camera or a passenger in the rear seat), The employee may be urged to pay attention to the player who entered the pachinko hall at the time the vehicle leaves (alert timing).

  In addition, the programs operating in the system server 40, the moving object recognition device 20, and the vehicle number recognition device 80 described above are not only provided by communication means such as a network, but are also managed and provided on an external recording medium such as a CD-ROM. It is also possible to do.

It is the figure which looked down at the pachinko hall site (pachinko hall, parking lot). It is a figure which shows the outline | summary of the system configuration | structure in the pachinko hall and parking lot shown in FIG. It is a figure which shows an example of the image | video image | photographed with the monitoring camera 10 shown in FIG. It is a figure which shows an example of the video analysis in the moving body recognition apparatus 20 shown in FIG. It is a figure which shows a part of functional structure of the moving body recognition apparatus 20 shown in FIG. It is a figure which shows a part of functional structure of the system server 40 shown in FIG. It is a figure which shows an example of a data structure of the database 52 for report data shown in FIG. It is a figure which shows an example of the screen layout of a fraud suspect monitoring screen. It is a flowchart which shows the flow of a process in the moving body recognition apparatus 20 shown in FIG. It is a 1st flowchart which shows the flow of a process in the system server 40 shown in FIG. It is a 2nd flowchart which shows the flow of a process in the system server 40 shown in FIG. It is a figure which shows the outline | summary of the system configuration | structure in the pachinko hall concerning Example 2, and a parking lot. It is a figure which shows an example of the image | video image | photographed with the monitoring camera 10 shown in FIG. It is a figure which shows a part of functional structure of the moving body recognition apparatus 20 shown in FIG. It is a figure which shows a part of functional structure of the system server 40 shown in FIG. It is a figure which shows an example of the data structure of the database 54 for vehicle data shown in FIG. 15, and the database 52 for report data. It is a flowchart which shows the flow of a process in the vehicle number recognition apparatus 80 shown in FIG. It is a flowchart which shows the flow of a process in the system server 40 shown in FIG. It is a figure which shows an example of the data structure of the database 52 for report data. It is a figure which shows an example of the video analysis in the moving body recognition apparatus. It is a figure which shows an example of the screen layout of the screen which shows the transition of the visitor according to time slot | zone.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Surveillance camera 11 Distributor 12 Camera video recording device 13 Printer 14 Network 20 Moving body recognition device 21, 43, 81 Control part 22, 44, 82 Storage part 23, 46, 83 Communication part 31 Moving body detection part 32 Human discrimination part 33 Fraud suspect discriminating unit 34 Discrimination information creation unit 35 Discrimination information deletion unit 36 Discrimination information transmission unit 40 System server 41 Display unit 42 Operation unit 45 External recording medium processing unit 51 Surveillance camera mapping data 52 Notification data database 53 Alert operation setting information 54 vehicle data database 60 fraud suspect information acquisition unit 61 report data registration unit 62 warning sound ring processing unit 63 display processing unit 64 fraud suspect information transmission unit 65 print output processing unit 66 external recording medium output processing unit 67 alert processing control Part 68 Fraud suspect discriminator 69 Car Data registration unit 71 Hall computer 72 Island unit 73 Unit between units 74 Game stand 75 Intercom device 76 In-store monitoring device 76 In-store monitoring camera 80 Car number recognition device 91 Moving object detection unit 92 Vehicle discrimination unit 93 Car number recognition unit 94 Entry / exit discrimination unit 95 Vehicle information Creation unit 96 Vehicle information deletion unit 97 Vehicle information transmission unit

Claims (17)

Photographing means for photographing a video of a predetermined area in the amusement hall site;
Detecting means for detecting the moving body by analyzing the video imaged by the imaging means;
Discriminating means for discriminating an illegal suspect based on the movement of the moving body detected by the detecting means;
An unauthorized suspect narrowing system comprising: output means for outputting information related to an unauthorized suspect determined by the determining means. The photographing means includes
Take a picture of the moving body that comes to the amusement park site,
The discrimination means includes
First determining means for determining whether the moving body detected by the detecting means is a person;
When the moving body determined to be a person by the first determining means passes through a predetermined line set in the photographed video of the photographing means in a predetermined direction, the moving body is the improper suspect. The fraud suspect narrowing-down system according to claim 1, further comprising: The first discrimination means includes
The fraud suspect narrowing-down system according to claim 2, wherein it is determined whether the person is a person based on at least one of a size of the moving body or a moving speed of the moving body. The photographing means includes
Take a picture of the moving body that enters and exits the entrance / exit of the parking lot on the amusement hall site,
The discrimination means includes
First determining means for determining whether the moving body detected by the detecting means is a vehicle;
When the moving body determined to be a vehicle by the first determining means leaves the parking lot within a predetermined time, it is determined that the person who has boarded the vehicle is the unauthorized suspect. The fraud suspect narrowing-down system according to claim 1, further comprising: The photographing means includes
The fraud suspect screening system according to claim 4, wherein at least a vehicle number of the vehicle is photographed. The second determining means includes
The fraud suspect narrowing system according to claim 4, wherein a person who has boarded a vehicle having a difference between a car entry time and a car exit time taken by the photographing means is determined to be the fraud suspect. . 5. A visitor transition information output means for outputting information indicating the transition of visitors by time zone based on the entry / exit time of a vehicle entering / exiting the entrance / exit of the parking lot photographed by the photographing means. The fraud suspect screening system. The output means includes
The fraud suspect screening system according to claim 1, wherein information relating to the fraud suspect is output to an external recording medium or a paper medium. Storage means for storing information related to the suspected fraud,
The storage means
The game information and the information related to the fraud suspect are stored in association with each other in response to the linkage of the game information of the fraud suspect from a gaming system that performs overall control of the game by the player in the game hall. A fraud suspect screening system. Recording means for recording the video imaged by the imaging means;
The output means includes
The fraud suspect screening system according to claim 1, wherein information including face information of the fraud suspect recorded by the recording unit is output. The output means includes
Output information related to the suspected fraud to the gaming system that controls the game by the player at the game hall,
The gaming system includes:
Instructing the employee to monitor the fraud suspect based on the information related to the fraud suspect, or performing at least one of the instructions for photographing the fraud suspect based on the information related to the fraud suspect by means of on-site photographing means. Item 1. The system for narrowing down suspected frauds according to item 1. Information about the suspected fraud
The fraud suspect narrowing-down system according to any one of claims 1 to 11, including at least one of the date, time, discriminated factor, and face information of the fraud suspect. When it is determined that the moving object photographed by the photographing means is a person, the moving object is a suspicious person when the moving object determined to be the person exists in the predetermined area for a predetermined time. The suspicious person narrowing down system according to claim 1, further comprising: Storage means for storing information related to the fraud suspect determined based on the movement of the moving object in the video image of the predetermined area in the amusement hall site;
Obtaining means for obtaining a video image of the fraud suspect based on information relating to the fraud suspect stored in the storage means;
An unauthorized suspect information processing comprising: output means for outputting at least a part of information on the suspected person suspected stored in the storage means and information based on the captured image of the suspected unauthorized person obtained by the obtaining means apparatus. A discriminating means for discriminating an improper suspect based on the movement of a moving object in a video image of a predetermined area in a playground site;
Storage means for storing information relating to the fraud suspect determined by the determination means;
Obtaining means for obtaining a video image of the fraud suspect based on information relating to the fraud suspect stored in the storage means;
An unauthorized suspect information processing comprising: output means for outputting at least a part of information on the suspected person suspected stored in the storage means and information based on the captured image of the suspected unauthorized person obtained by the obtaining means apparatus. Computer
Storage means for storing information related to the fraud suspect determined based on the movement of the moving object in a video image of a predetermined area in the amusement hall site;
Obtaining means for obtaining a video image of the fraudulent suspect based on information relating to the fraudulent suspect stored in the storage means;
Unauthorized suspect information for functioning as an output means for outputting at least a part of the information related to the improper suspect stored in the storage means and the information based on the captured video of the improper suspect obtained by the obtaining means Processing program. Computer
A discriminating means for discriminating an improper suspect based on the movement of a moving object in a video image of a predetermined area in a playground site;
Storage means for storing information related to the fraud suspect determined by the determination means;
Obtaining means for obtaining a video image of the fraudulent suspect based on information relating to the fraudulent suspect stored in the storage means;
Unauthorized suspect information for functioning as an output means for outputting at least a part of the information related to the improper suspect stored in the storage means and the information based on the captured video of the improper suspect obtained by the obtaining means Processing program.

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