JP6864193B2 - Identification system and method of fraudulent person - Google Patents

Description

The present invention relates to a system for identifying a fraudulent person and a method for identifying a fraudulent person. Regarding the identification system and identification method of fraudulent persons who bring in medals to.

At amusement stores such as pachinko parlors and pachislot stores, cheating by customers has become a problem. For example, you can bring in the rental balls of another store and play without replaying without purchasing the rental balls of that store, or you can play the games without replaying, and even the rental balls of low ball rental fees are high. You can bring it to the store and play it. In addition, it is also illegal to take a rental ball out of the store. Here, "replay" means, for example, depositing balls and medals accumulated by making a membership card in advance at a store and using the deposited balls and medals the next time the game is played. By the way, bringing in a ball for rent is a crime of fraud, and taking out a ball for rent is a crime of theft (because the ball is borrowed and not bought). And, such fraudulent acts reduce sales for amusement stores and cause pressure on management.

In response to the above-mentioned fraudulent activities, amusement stores monitor the fraudulent activities by patrols of employees, but they are not always effective means and inconveniences such as causing a rise in labor costs. There is also. Therefore, for example, as shown in Patent Documents 1 and 2, a technique for monitoring fraudulent activity using a computer system has been proposed. Patent Documents 1 and 2 acquire a player's face image with a camera, collate it with a previously acquired suspicious person's face image, and when it is determined to be a fraudulent person, the fraudster fires a game ball on a table in use. The prohibited monitoring method (Patent Document 1), and when the difference between the number of payout balls and the number of fired balls of the game console is larger than a predetermined threshold value (numerical value?) In the normal gaming state, the unauthorized use of the game console is determined. This is a game store management device (Patent Document 2) that registers a face image of a user who uses the game console in the face image information recognition device as a face image of a fraudulent person in the face image information database.

Japanese Unexamined Patent Publication No. 2011-120691 Japanese Unexamined Patent Publication No. 2011-139872

However, the above-mentioned conventional monitoring method and game store management device can bring in the rental balls of another store and play the game without purchasing the rental balls of the store, or can play the game without replaying, and even the rental balls of the store. There is a problem that fraud such as bringing a low-priced ball rental ball to a game table with a high high-priced ball rental fee and playing a game cannot be detected.

Therefore, the present invention has been made in view of such a problem, and the player can bring in a ball for rent from another store without purchasing the ball for rent at that store, or play a game without replaying, or even rent a ball for rent. It provides a system and a method for identifying a fraudulent person who can detect a person who commits fraud such as bringing a rental ball with a low ball fee to a game table with a high ball rental fee and playing a game.

In order to solve the above problems, the invention according to claim 1 is a user photographing means for photographing the face of a user who receives a game ball or coin payout with a ball lending machine or a coin lending machine, and the user. A user database that stores and stores user image data of the user photographed by the photographing means, a player photographing means that photographs the face of a player playing a game on a game table at predetermined time intervals, and the game. A player database that stores and accumulates player image data of the player taken by the person shooting means in correspondence with the game table, and is duplicated when the same face is continuously shot. It is saved in the user database based on the player database saved and accumulated by adjusting the number of times of saving in order to prevent the saving, and the player image data of the player photographed by the player photographing means. When a face authentication means for detecting the presence or absence of the same person from the user image data of the user and a person who matches the player image data cannot be found in the user database by the face authentication means. To provide a fraudulent person identification system, which comprises a fraudulent player warning means for warning the player as a fraudulent player.

In order to solve the above problem, the present invention according to claim 2 is the fraudulent player identification system according to claim 1 , wherein the fraudulent player warning means uses image data of a player who is regarded as a fraudulent player. It is characterized by being displayed on a display.

In order to solve the above problem, the invention according to claim 3 comprises a step of photographing the face of a user who receives a game ball or coin payout with a ball lending machine or a coin lending machine by a user photographing means, and the above-mentioned. The steps of storing and accumulating the user image data of the user taken by the user shooting means in the user database and the face of the player playing on the game table by the player shooting means are photographed at predetermined time intervals. And the step of saving and accumulating the player image data of the player photographed by the player photographing means corresponding to the game table, and when the same face is continuously photographed. Is based on the steps of saving and accumulating in the player database by adjusting the number of times of saving to prevent duplicate saving, and the player image data of the player taken by the player shooting means. The step of detecting the presence or absence of the same person by the face recognition means from the user image data of the user stored in the user database, and the player image data in the user database by the face recognition means. Provided is a method for identifying a fraudulent person, which comprises a step of warning the player as a fraudulent player when a person matching the above is not found.

In order to solve the above problem, the present invention according to claim 4 is the method for identifying a fraudulent person according to claim 3 , wherein the warning displays image data of a player who is regarded as a fraudulent player on a display. It is characterized by doing.

According to the fraudulent person identification system and the identification method of the present invention, the player can bring in the ball for rent from another store without purchasing the ball for rent at the store, or play the game without replaying, or even rent the ball for rent. It has the effect of being able to detect a person who commits fraud, such as bringing a low-priced ball rental ball to a game table with a high high-priced ball rental fee and playing a game.

It is a block diagram which shows the 1st Embodiment of the identification system of the fraudulent person which concerns on this invention. (A) is an explanatory view showing a state in which the camera is attached to the stand indicator lamp, and (b) is an explanatory view showing a state in which the camera is attached to the stand-to-stand machine. (A) is an explanatory view of the field of view of the camera shown in FIG. 2 (a), and (b) is an explanatory view of the field of view of the camera shown in FIG. 2 (b). It is a flowchart of one Embodiment of the method of identifying a fraudulent person which concerns on the 1st Embodiment of this invention. It is a block diagram which shows the 2nd Embodiment of the identification system of the fraudulent person which concerns on this invention. It is a flowchart of the method of identifying a fraudulent person which concerns on the 2nd Embodiment of this invention.

1. 1. First Embodiment [Configuration of fraudulent person identification system]
Hereinafter, the system for identifying a fraudulent person and the method for identifying a fraudulent person according to the present invention will be described in detail based on a preferred embodiment. FIG. 1 is a block diagram showing a first embodiment of a system for identifying a fraudulent person according to the present invention.

Specific system illegal person is shown (hereinafter, simply referred to as "identification system".) 1, all pachinko machines and pachislo stand like amusement machine 3 _-1 hall computer that manages to 3 _-n of the hole (HC ) It is installed in 2 or put together in one device so as to be adjacent to the hall computer 2. The hall computer 2 is installed in an office of a game store, and includes a CPU, RAM, ROM, an input / output unit, a display control unit, a communication control unit that controls communication with the outside (none of which is shown), and the like. It is configured. Since these configurations are known, the description thereof will be omitted. Communication between the specific system 1 and the hall computer 2 is performed using USB, LAN, or the like.

Then, the specific system 1 includes _{the above-mentioned cameras 4-1} to 4 _−n as a player photographing means for photographing the face of a player (= player) _{playing on the game table 3-1 to} 3 _−n , and a ball. Lending machine (or coin lending machine (also referred to as sand)) _{5-1 to} 5 _{−n The above-mentioned camera 8 -1} to 8 ₋ as a user photographing means for photographing the face of a user who receives a loan ball. _n , _{the image processing unit 21 that processes the image data of the player's face taken by the cameras 4-1} to 4- _n , and the image data of the player's face that has been image-processed by the image processing unit 21 are saved. and a player database (player DB) 22 for storing the image data of the user's face by the camera 8 _-1 to 8 _-n by receiving a payout of been lent ball captured image processing unit 23 for image processing, image The user database (user DB) 24 that stores and stores the user image data processed by the processing unit 23, and the usage stored in the user database 24 based on the player image data in the player database 22. When the face authentication means 25 for detecting the presence or absence of the same person from the user image data of the user and the face authentication means 25 cannot find a person matching the player image data in the user database 24, the relevant person is concerned. It is configured to include a fraudulent player warning means 26 that warns the player as a fraudulent player. Also, certain system 1 Besides, a display 10 for displaying information and warnings concerning gaming table ₃ -1 _{to 3 -n} manage content and gaming table ₃ -1 _{to 3 -n} of the gaming table _{3 -1} It is configured to include an input device (not shown) including a keyboard, a mouse, etc. for inputting settings and the like for _{~ 3 −n, and various means including an image processing unit 21 described later.}

Cameras _4-1 to _{4 to n} and cameras 8 to ₁ to _{8 to n} can use units and the like used in digital cameras and surveillance cameras using CMOS sensors and the like, and can be used by the player H and the use. It is desirable to have the ability to record a person's face in detail, and for example, 2 million pixels or more is desired. Camera ₄ -1 _{to 4 -n} may be placed anywhere as long as can be reliably recognize the face of the player H in the game, in addition to providing the gaming table ₃ -1 _{to 3 -n,} for example, FIG. 2 As shown in (a), it can be installed in the stand indicator lamp unit 7. Then, _{the mounting angles of the cameras 4-1} to 4- _n are set to the shooting field of view θ as shown in FIG. 3A when mounted on the stand indicator lamp unit 7, and the entire face of the player H is shot. It can be so. On the other hand, the camera 8 _-1 to 8 _-n is a user who uses the rental balls (user in this case is the same as the player H.) Be placed anywhere as long recognized reliably face Often, as shown in FIG. 2B, it can be installed on the upper part or side _{of the ball lending machine 5-1 to} 5- _{n or the like.} The camera ₈ -1 _{to 8 -n} Since the shoot the face of the user of the ball lending machine ₅ -1 _{to 5 -n,} mounting angle of the camera ₈ -1 _{to 8 -n} are, and FIG. 3 (b) Set the shooting field of view θ as shown in the above so that the entire face of the user can be photographed.

The image processing unit 21 is an image data of the face of the player captured by the camera ₄ -1 _{to 4 -n} image processing engine that image processing, whereas, the image processing unit 23 in the camera ₈ -1 _{to 8 -n} It is an image processing engine that processes the image data of the photographed user's face, and the image processing units 21 and 23 all have the same function. The image processing units 21 and 23 are LSIs that perform various processes such as noise removal, gradation correction, color correction, and image compression on the input image data as needed. Outputs a face pattern with contour lines and feature points excluding the background in the image. Then, the output image processed by the image processing unit 21 is stored in the player database 22, and the output image processed by the image processing unit 23 is stored in the user database 24.

Both the player database 22 and the user database 24 are composed of a hard disk, a solid state drive, and the like. The player database 22 stores and stores the image data of the player processed by the image processing unit 21. The user database 24 stores and stores the image data of the user processed by the image processing unit 23. The player database 22 and the user database 24 are, for example, relational databases. Specifically, in correspondence to the player database 22 in the game machine ₃ -1 _{to 3 -n} save the face image of the player, in the user database 24 in the ball lending machine ₅ -1 _{to 5 -n} Correspondingly, the user's face image is saved. Since _{shooting with cameras 4-1} to 4- _n is performed every minute as described later, if the same face is continuously shot, the same face is saved in duplicate, which wastes storage capacity. And image search will be enormous. Therefore, the number of times of saving in the player database 22 is also adjusted as appropriate. On the other hand, _{the shooting with the cameras 8 -1} to 8 _−n is taken when the ball lending machine _{5-1 to} 5 _−n receives the loaned ball. In addition, in the case of replay, when the loaned ball deposited with the user card is paid out, the face image data of the user is input to the user database 24, or a flag is set in the user database 24, etc. It is assumed that the ball lending machines _{5-1 to} 5- _n have been used.

The face recognition means 25 includes a program for determining the presence or absence of the same person from the user image data of the user stored in the user database 24 based on the player image data in the player database 22. If the player H and the user do not match, that is, if the player H is not among the users who have been paid out the rental balls, it means that the player played the game without purchasing the rental balls at the store. , It is presumed that the player brought in a ball for rent from another store and played the game, or played the game without replaying, so face recognition to determine this is an important process.

As a face recognition method, for example, a two-step process of cutting out a face pattern from an image (= face detection) and an identification process is performed. First, if the face image data is f pixels × f pixels, it is vectorized into an f × f dimensional space (feature space). Then, this vector representation makes it possible to compare two images. The degree of similarity between the two is determined based on the angle (correlation coefficient) formed by the vectors of the two. Specifically, the average face pattern generated from the face patterns of several people is used as a template, the correlation with the input image (the angle formed by the two vectors) is obtained, and the region having the highest correlation value is extracted as the face pattern. In this way, the face is detected from the captured image.

Next, the identification process for the detected face will be described. The most basic method of identification processing is the correlation method, which identifies based on the correlation (angle) formed by the input pattern and the registration pattern. The simplest identification method is to use the input shading image pattern as it is, but high shading image information cannot be expected to have high discrimination performance because it is easily affected by lighting fluctuations and the like. Therefore, the identification performance can be improved by extracting the features effective for identification from the shading image. Further, a subspace method, which has higher performance than the correlation method, is also used. This subspace method discriminates based on the angle formed by the input pattern vector and the subspace generated from the dictionary pattern by using the KL (Karhunen-Loeve) expansion. It should be noted that the above-mentioned face authentication method is an example, and the specific method is not limited to this, and it goes without saying that an appropriate method can be used.

The fraudulent player warning means 26 comprises a program that warns the player as a fraudulent player when the face recognition means 25 cannot find a person matching the player image data in the user database 24. Specifically, in order to notify the employees of the hall of the discovery of the fraudulent player, the face photograph (face image) of the fraudulent player (= Goto teacher) is displayed on the display 10 of the specific system 1 by pop-up or the like. Warn the people involved in the store. This warning is given by a method other than display, for example, a combination of message output by voice synthesis and a face image display, a combination of an alarm or the like and a face image display, a combination of a text telop and a face image display, and the like. It is also possible.

[Operation of specific system and discrimination method]
Next, a method for discriminating an illegal player according to the present invention will be described together with the operation of the specific system 1 described above. As a general rule, rental balls are stipulated for use only on the day of the store, and it is prohibited to take them out of the store. However, it is possible to replay by depositing it in the store. Nevertheless, there is no end to bringing in rental balls. Such fraudulent players are afraid of being able to detect fraudulent activities, and are committing fraudulent activities at stores that have never visited a store or stores that have visited an extremely small number of times. If an illegal player brings in coins from another store and plays the game, the sales of the store will be 0 yen due to the bringing in of rental balls. Therefore, when there is no replay (that is, when the game has never been played), in the present embodiment, it is determined that the player is an illegal player (Goto teacher) and a warning is issued.

FIG. 4 is a flowchart of an embodiment of a method for identifying a fraudulent person according to the first embodiment of the present invention. First, certain system 1 photographs the face of a user using the ball lending machine ₅ -1 _{to 5 -n} by the camera ₈ -1 _{to 8 -n} is user photographing means (step S1). The shooting is started when the user performs a ball lending operation with the _{ball lending machines 5-1 to} 5- _n. Then, the photographed user's face image data is taken into the image processing unit 23, and the image processing unit 23 performs various processes on the user's face image. Then, the image data of the user image-processed by the image processing unit 23 is automatically saved in the user database 24 in association _{with the ball lending machines 5-1 to} 5- _{n used by the user (step S2).} ).

Next, a specific system 1 includes a camera 4 _-1 to 4 _-n the face of the player who initiated the game in one of the amusement machine 3 _-1 to 3 _-n at the timing when the player has operated the gaming table 3 (Step S3). Then, for example, every minute or the like, the camera _4-1 to 4- _n takes a picture. The image data of the player's face photographed in this way is taken into the image processing unit 21. In the image processing section 21, after performing the same image processing as the image processing unit 23, stores in a player database 22 in association with image data and game machine 3 _-1 to 3 _-n of the player ( Step S4).

Next, the specific system 1 operates the face recognition means 25, and the player image data of the player stored in the player database 22 is combined with the user image data of the user stored in the user database 24. collating, determines whether a player to play at the gaming table ₃ -1 _{to 3 -n} is present in the user database 24 (step S5). Player when present in the user database 24 (Step S5: Yes), usually because the player is a person of ball lending machines _5-1 to 5 persons using _-n or replay It is determined to be a customer (step S7). On the other hand, if the player is not present in the user database 24 (Step S5: No), the amusement machine ₃ -1 to 3 without the player uses the ball lending machine ₅ -1 _{to 5 -n} It means that you played with _-n. Therefore, the specific system 1 operates the fraudulent player warning means 26 and issues a warning to the player as a fraudulent player (step S6). On the other hand, if there is a matching person in step S5 (step S5: yes), it is determined as a normal customer (step S7) and no warning is given. The warning in step S6 is given by popping up a message notifying that the fraudulent player has been found, a face photo of the fraudulent player, or the like on the display 10. The staff, etc. who see this warning can take predetermined measures against the fraudulent player and the fraudulent platform. It should be noted that the warning can be given by a method other than the display, for example, the above-mentioned voice synthesis or a combination of an alarm and a telop.

[Effect of the first embodiment]
According to the fraudulent person identification system and the identification method according to the first embodiment, the face of the user who received the loaned ball from the _{ball lending machine 5-1 to} 5 to _{n is captured by the camera 8 -1} to _{8 to n.} in shot, as well as stores the image data in the user database 24, by photographing the face of the player for the game in game machine ₃ -1 _{to 3 -n} camera ₄ -1 _{to 4 -n,} the face Save the image to a player image database 22, a game in the user and an image of the gaming table 3 _-1 to 3 _-n image data of the player to the player at the user image data 24 by the face authentication unit 25 It detects whether or not there is a person who matches the person, and when the person who matches the person cannot be found, the player is warned as an illegal player, so the rental ball can be used or replayed at the store. There is an effect that the game is played without playing, that is, it is possible to detect fraud against bringing in a loaned ball.

Further, when an illegal player is detected, the image of the illegal player is displayed on the display 10 by a pop-up or the like by the illegal player warning means to warn the player, so that the store employee or the like can promptly make the change. Since it is possible to recognize an illegal player, there is an effect that it is possible to respond appropriately.

2. Second Embodiment Next, a second embodiment of the game console discrimination system to which the fraudulent device according to the present invention is attached will be described. FIG. 5 is a flowchart of the fraudulent person identification system and the identification method according to the second embodiment of the present invention.

For example, some pachinko parlors have both a pachinko machine with a ball rental fee of 4 yen (4 yen pachinko) and a pachinko machine with a ball rental fee of 1 yen (1 yen pachinko). There is a store that does. While 4-yen pachinko can borrow 250 balls for 1,000 yen, 1-yen pachinko can borrow 1,000 balls for 1,000 yen, so it is possible to play with low funds, but the conversion rate is low. ing. Therefore, the corners of 1-yen pachinko and 4-yen pachinko are separated. However, there are customers who take a 1-yen pachinko ball and move to the 4-yen pachinko corner to play. Therefore, the second embodiment makes it possible to detect the carry-in of balls from such corners with different ball rental fees.

[Specific system configuration]
The specific system 11 according to the second embodiment is photographed by a camera 4-1 to 4-n, which is a player photographing means playing on the game table 3-1 to 3-n, and a camera 4-1 to 4-n. The player database 22 that stores and stores the image data of the player's face in association with the ball rental fee of the game table that the player is playing, and the player image of the player stored in the player database 22. The face recognition means 28 that detects the presence or absence of the same player from the data, the ball rental fee of the game table in which the player is playing, and the ball rental fee of the game table stored in the player database 22 match. and rental ball charge confirmation means 29 for detecting whether or not to, loan to enable any person the recreation person does not match the rental ball charge of the gaming table stored in the gaming table rental ball charge and the player database of that game It is configured to include an illegal player warning means 30 that warns the player as an illegal player when the ball charge confirmation means 29 determines. The specific system 11 is installed in the hall computer (HC) 2 that manages all the pachinko machines, pachislot machines, and other game machines 3-1 to 3-n in the hall as in the specific system 1, or 1 The devices are grouped together and installed adjacent to the hall computer 2. Further, the specific system 11 can be provided together with the specific system 1.

Player database 22 is the first embodiment to that shown in the form substantially the same way, a game in which the image data of the face of the player captured by the camera 4-1 to 4-n the player is the game It is stored and accumulated in association with the charge information of the ball rental charge of the units 3 to 1-3-n. As for the association with the ball rental fee, for example, the fee information for identifying whether the game is in the 1-yen corner or the 4-yen corner is assigned in advance to the game consoles 3-1 to 3-n being played, and the player The face image data can be saved together with the charge information, or can be performed depending on whether the ball lending machines 5-1 to 5-n used are those in the 1-yen corner or those in the 4-yen corner.

The face recognition means 28 compares _{the image data of the player taken by the cameras 4-1} to 4- _n with the player image data of the player stored in the player database 22, and the same player can use the same player. It consists of a program that checks whether it exists or not. Since the operation principle is the same as that of the face recognition means 25 in the first embodiment, the description thereof will be omitted.

Rental ball Rate Check unit 29, when it discovers a player matching in the player database 22 by the face authentication unit 28, rental ball Price amusement machine 3 _-1 to 3 _-n in which the player is the game player and database gaming table 3 _-1 to 3 _-n rental ball rATES stored in 22 consists of determining whether or not the program matches the. If you use to move from one yen corner to 4 yen corner, it saved gaming table 3 _-1 to the rental ball charge and the player database 22 of the game board 3 _-1 ~3 _-n that is currently game Since it does not match the ball rental fee of 3- _n , it can be determined that the player is an illegal player.

The fraudulent player warning means 30 comprises a program for warning the store employees and the like of the fact when a fraudulent player is found by the ball rental fee confirmation means 29. Unauthorized player warning means 30, the player is the player currently to have gaming table 3 _-1 ~3 _-n rental ball fee and the player's game table that is stored in the database 3 _-1 to by loan ball check prices means 29 A warning is given to the display 10 when the ball rental fee does not match 3- _n. The warning method is the same as that of the fraudulent player warning means 26 described in the first embodiment, and the fraudulent player is displayed on the display 10 by a pop-up or the like to give a warning.

[Operation of specific system and discrimination method]
Next, the operation of the specific system 11 will be described together with a method for determining an unauthorized player according to the present invention. FIG. 6 is a flowchart of a method for identifying a fraudulent person according to the second embodiment of the present invention. First, the specific system 11 photographs the face of the player for the game in game machine ₃ -1 _{to 3 -n} by the camera ₄ -1 _{to 4 -n} (step S11). The _{player's face image data taken by the cameras 4-1} to 4- _n is stored and accumulated in the player database 22 in association with the ball rental fee information of the game table in which the player is playing by the specific system 11. (Step S12). Further, the specific system 11 is a face recognition means from the player image data of the player stored in the player database 22 based on the player image data of the player taken by the _{cameras 4-1} to 4- _n. The presence or absence of the same player is detected by 28 (step S13).

Next, when the specific system 11 finds a matching player in the player database 22 by the face recognition means 28, the ball rental fee of the game table currently being played by the player is charged by the ball rental fee confirmation means 29. And whether or not the ball rental fee of the game console stored in the player database 22 matches or not is detected (step S14). Then, when it is determined that the ball rental fee of the game table currently being played by the player and the ball rental fee of the game table stored in the player database do not match (step S14: mismatch), an illegal player warning is given. By means 30, the player is warned as an illegal player (step S15). This warning is given by popping up a message notifying that the fraudulent player has been found, a photo of the fraudulent player's face, or the like on the display 10. Employees of the store who see this warning can immediately deal with the fraudulent player. In step S14, when it is determined that the ball rental fee of the game table currently being played by the player and the ball rental fee of the game table stored in the player database match (step S14: match), the same. Since the customer is playing at the game table _{3-1 to} 3- _n with the correct ball rental fee, it is determined that the customer is a normal customer (step S16), and no warning is given.

[Effect of the second embodiment]
According to the fraudulent person identification system and the identification method according to the second embodiment, there is an effect that the fraudulent player who brought in (takes out) a ball from a corner having a different ball rental fee can be easily identified. ..

Further, according to the fraudulent person identification system and the identification method according to the second embodiment, when the fraudulent player is found, the image of the fraudulent player is displayed on the display 10 by pop-up or the like by the fraudulent player warning means. This has the effect that store employees can quickly take measures against fraudulent players.

As described above, the preferred embodiment of the present invention has been described in detail, but the present invention is not limited to the specific embodiment, and within the scope of the gist of the present invention described in the claims. Needless to say, various modifications and changes are possible.

1 Specific system 2 Hall computer 3 _{-1 to} 3 _-n Game table 4 _-1 to 4 _-n camera _{5-1 to} 5 _-n Ball lending machine 6 inter-unit machine 7 units Display lamp 8 _-1 to 8 _-n camera 9 Inter-unit information terminal 10 Display 11 Specific system 21 Image processing unit 22 Player database 23 Image processing unit 24 User database 25 Face recognition means 26 Unauthorized player warning means 28 Face recognition means 29 Ball rental fee confirmation means 30 Unauthorized game Person warning means H player

Claims (4)

A user photographing means for photographing the face of a user who receives a payout of balls or coins for games with a ball lending machine or a coin lending machine, and
A user database that stores and stores user image data of the user photographed by the user photographing means, and
A player shooting means that shoots the face of a player playing on a game table at predetermined time intervals, and
A player database that stores and accumulates player image data of the player taken by the player shooting means in correspondence with the game table, and is duplicated when the same face is continuously shot. The player database that was saved and accumulated by adjusting the number of saves to prevent it from being saved
A face recognition means for detecting the presence or absence of the same person from the user image data of the user stored in the user database based on the player image data of the player photographed by the player photographing means.
When the face recognition means cannot find a person who matches the player image data in the user database, the fraudulent player warning means for warning the player as a fraudulent player.
A fraudulent person identification system characterized by having. In the fraudulent person identification system according to claim 1,
The fraudulent player warning means is a system for identifying a fraudulent person, characterized in that image data of a player who is regarded as a fraudulent player is displayed on a display. A step of photographing the face of a user who receives a game ball or coin payout with a ball lending machine or a coin lending machine by a user photographing means, and
A step of storing and accumulating the user image data of the user photographed by the user photographing means in the user database, and
A step of shooting the face of a player playing on a game table by a player shooting means at predetermined time intervals, and
It is a step of storing and accumulating the player image data of the player photographed by the player photographing means in correspondence with the game table, and when the same face is continuously photographed, it is duplicated. The step of saving and accumulating in the player database by adjusting the number of saves to prevent it from being saved,
A step of detecting the presence or absence of the same person by the face authentication means from the user image data of the user stored in the user database based on the player image data of the player photographed by the player photographing means. When,
A step of warning the player as an unauthorized player when a person matching the player image data cannot be found in the user database by the face recognition means.
A method of identifying a fraudulent person, characterized by having. In the method for identifying a fraudulent person according to claim 3,
The warning is a method for identifying a fraudulent person, which comprises displaying image data of a player who is regarded as a fraudulent player on a display.

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