Table game fraud monitoring system and table game fraud monitoring program

Abstract

The detection system of the present invention uses the measurement results of the betting chip measuring device (19) to store the location and amount of the substitute currency (9) for organic use placed by the game participant (6) on the organic table (4) for each game participant (6) or for each player position (45) of the organic table (4). The management control device (50) compares the actual winning rate and total return amount with the numbers in the probability statistics calculation at the time when a predetermined number of games is finished to determine whether there is a significant difference between the two, and specifies the game participant (6) or player position (45) or the organic table (4) or the room in which the organic table (4) is placed that has a significant difference.

Description

Technology Field

[0001] The present invention relates to a cheating monitoring system for table games in an amusement park, and in particular, to a technology for detecting cheating. Background Technology

[0002] At amusement facilities such as casinos, various attempts are being made to prevent fraud. These facilities are equipped with surveillance cameras to monitor for cheating, and they prevent fraud by analyzing images obtained from these cameras to identify game irregularities or fraud involving the recovery or redemption of chips that differ from the actual win or loss results. Meanwhile, it has been proposed to attach IC tags to each chip to determine the value of the chips, thereby tracking the number of chips bet or the total amount.

[0003] In the card game monitoring system described in International Application PCT / JP2015 / 000171, monitoring of fraudulent activity is performed by determining whether a chip placed on an organic table has been recovered or redeemed according to the win / loss result through image analysis of the chip's movement. The problem to be solved

[0004] In gambling establishments such as casinos, gambling tables are recorded using surveillance cameras, and when a participant wins a large amount at once, the recorded VTR is played back to verify whether there was any cheating. However, there is a challenge in that cheating at gambling tables has become more sophisticated, and there is cheating that cannot be detected by detections based solely on large winning amounts, such as winning small amounts repeatedly. Furthermore, conventional technology is not sufficient to prevent cheating caused by collusion between dealers and players.

[0005] In accordance with the above problem, the present invention aims to prevent damage caused by fraud by continuously monitoring the amount bet by a game participant and the win / loss results, and by detecting suspicious patterns suspected of fraud by comparing them with probability statistical calculation data or past statistical data. means of solving the problem

[0006] To solve the above conventional problems, the fraud monitoring system of the present invention, as a fraud monitoring system for table games, comprises: a win / loss determination device for determining the win / loss result of each game on an organic table; a betting chip measuring device for determining the amount of organic substitute currency bet by a game participant on the organic table in each game; and a management control device that stores the number of games played on the organic table and, using the measurement result of the betting chip measuring device for each game, stores the location and amount of organic substitute currency placed by a game participant on the organic table for each game participant or player position. The management control device, based on the total number of games in which the same person participated for each game participant or player position, the trend of the betting chip amount for each game, the win / loss of each game, and the return amount obtained for each game, compares the actual win rate and total return amount of the same person for each game participant or player position at the time when a predetermined number of games ends with numbers from probability statistical calculations to determine whether there is a significant difference between the two, and any of the game participant or player position, organic table, or room in which the organic table is placed where a significant difference occurs It is equipped with a calculation function that specifies one.

[0007] In addition, the above-mentioned management control device may additionally be equipped with a function to specify a dealer in each organic game, and may also be equipped with a function to specify a dealer in charge of a series of games in which the above-mentioned significant difference occurs.

[0008] In addition, the above-mentioned management control device may be equipped with a calculation function that factorizes the total return amount in the series of games in which the significant difference occurred and determines whether the cause of the significant difference in the series of games in which the significant difference occurred is due to the winning rate or due to the magnitude of the bet amount of the betting chips.

[0009] In addition, the above-mentioned management control device may be equipped with a calculation function that stores the betting chip amount of each organic game at a betting position with a different return multiplier, and determines whether the cause of the significant difference in the series of games in which the significant difference occurred is related to the betting position with a different return multiplier.

[0010] In addition, the above-mentioned management control device may have multiple criteria for determining whether there is a significant difference, and may issue different types of warnings for each criterion.

[0011] In addition, the above-mentioned management control device may have a judgment criterion for a different significant difference for each number of games classified by a predetermined rule or for each predetermined number of games, and may issue different types of warnings.

[0012] In addition, the above-mentioned management control device may determine whether there is a significant difference sequentially for each game or every predetermined number of games as the multiple games progress, and issue a warning at the stage where the criteria for determining a significant difference are exceeded.

[0013] In addition, the above-mentioned management control device may have multiple criteria for determining whether there is a significant difference, and for each criterion, specify a game participant or player position that has the possibility of fraud, score each different criterion, and display a warning as a score or rank.

[0014] In addition, the above-mentioned management control device may use a conditional probability calculation in which a specific factor is set to a fixed value to determine whether there is a significant difference, for the numerical value in the probability statistical calculation used to determine whether there is a significant difference.

[0015] In addition, the above-mentioned management control device may additionally have a function of sequentially identifying the results of a playing card or die in a series of games, and may guess the cause of fraud in cases where a significant difference is determined based on the data of the results in a series of games, and list possible causes of fraud.

[0016] In addition, the above-mentioned management control device may estimate the cause of fraud in cases where a significant difference is determined by using either or both of big data regarding past games or past fraud data, and may enumerate causes that may be fraudulent.

[0017] To solve the aforementioned conventional problems, the fraud monitoring system of the present invention may take the following form. That is, as a fraud monitoring system for a table game, it comprises a revenue and expenditure tracking device for identifying the income and expenditure of the casino side for each of the plurality of organic tables, and a management control device that stores the number of games played on each of the organic tables and sequentially identifies and stores the trend of the casino side's income and expenditure for each game. The management control device is equipped with a calculation function that, based on the total number of games played on each of the organic tables and the trend of the casino side's income and expenditure for each game, compares the result of the casino side's income or expenditure at the time when a predetermined number of games ends with a number in probability statistics to determine whether there is a significant difference between the two, and identifies either the organic table where a significant difference occurs or the room in which the organic table is located.

[0018] To solve the above-mentioned conventional problems, the fraud monitoring system of the present invention may be in the following form. That is, as a cheating monitoring system for a table game, the system comprises: a win / loss determination device for determining the win / loss result of each game on a game table; a betting chip measuring device for determining the amount of substitute currency for the game that a game participant bets on the game table in each game; and a management control device that stores the number of games played on the game table and, using the measurement result of the betting chip measuring device for each game, stores the location and amount of substitute currency for the game placed by the game participant on the game table for each game participant or the player position of the game table, wherein the management control device has an artificial intelligence in which data of past cheating games is taught as teaching data, and also has a calculation function that determines whether a significant difference with the possibility of cheating has occurred in the game participant or player position, the game table, or the room in which the game table is placed, at the time when a predetermined number of games has ended, based on the total number of games in which the same person participated, the trend of the betting chip amount for each game, the win / loss of each game, and the return amount obtained in each game.

[0019] In addition, the above-mentioned management control device may additionally be equipped with a function to specify a dealer in each organic game, and may also be equipped with a function to specify a dealer in charge of a series of games in which the above-mentioned significant difference occurs.

[0020] In addition, the above-mentioned management control device may be equipped with a calculation function that factorizes the total return amount in the series of games in which the significant difference occurred and determines whether the cause of the significant difference in the series of games in which the significant difference occurred is due to the winning rate or due to the magnitude of the bet amount of the betting chips.

[0021] In addition, the above-mentioned management control device may be equipped with a calculation function that stores the betting chip amount of each organic game at a betting position with a different return multiplier, and determines whether the cause of the significant difference in the series of games in which the significant difference occurred is related to the betting position with a different return multiplier.

[0022] In addition, the above-mentioned management control device may have multiple criteria for determining whether there is a significant difference, and may issue different types of warnings for each criterion.

[0023] In addition, the above-mentioned management control device may have a judgment criterion for a different significant difference for each number of games classified by a predetermined rule or for each predetermined number of games, and may issue different types of warnings.

[0024] In addition, the above-mentioned management control device may have multiple criteria for determining whether there is a significant difference, and for each criterion, specify a game participant or player position that has the possibility of fraud, score each different criterion, and display a warning as a score or rank.

[0025] In addition, the above-mentioned management control device may additionally have a function of sequentially identifying the results of a playing card or die in a series of games, and may guess the cause of fraud in cases where a significant difference is determined based on the data of the results in a series of games, and list possible causes of fraud.

[0026] In addition, the above-mentioned management control device may estimate the cause of fraud in cases where a significant difference is determined by using big data regarding past games as an additional item, and may enumerate the causes of fraud that are likely to occur.

[0027] To solve the aforementioned conventional problems, the fraud monitoring system of the present invention may take the following form. That is, as a fraud monitoring system for a table game, it comprises a revenue and expenditure tracking device that identifies the income and expenditure of the casino side for each of the multiple organic tables, and a management control device that stores the number of games played on each organic table and sequentially identifies and stores the trend of the casino side's income and expenditure for each game. The management control device has an artificial intelligence that is taught with past fraudulent game data as training data, and also has a calculation function that, based on the total number of games played on each organic table and the trend of the casino side's income and expenditure for each game, compares the result of the casino side's income or expenditure at the time when a predetermined number of games ends with the number calculated by the artificial intelligence taught with past fraudulent game data as training data to determine whether there is a significant difference between the two, and determines the possibility of fraud occurring in the organic table where a significant difference occurs or in the room where the organic table is placed.

[0028] To solve the above-mentioned conventional problems, the fraud monitoring system of the present invention may be in the following form. That is, as a cheating monitoring program for table games, it comprises a win / loss determination step for determining the win / loss result of each game on an organic table, a betting chip identification step for determining the amount of organic substitute currency bet by a game participant on the organic table in each game, a game progress monitoring management step for storing the number of games played on the organic table and, using the trend data of betting chips from the betting chip identification step for each game, specifically storing the betting pattern of organic substitute currency placed by the game participant on the organic table for each game participant or player position, and a cheating possibility verification step, wherein the cheating possibility verification step comprises a step for calculating the actual win rate of the same person for each game participant or player position at the time when a predetermined number of games has ended, and a total return amount calculation step, by determining the total number of games in which the same person participated, the trend of betting chip amounts, and the return amount for each game as the basis for calculation, and comparing the obtained win rate and total return amount with the win rate and total return amount based on probability statistical calculations or past data for a predetermined number of games, and if there is a significant difference between the two A table game cheating monitoring program characterized by having a significant difference determination step for determining whether there is a significant difference, and an abnormal point determination step for specifying any one of the game participant or player position, the organic table, or the room where the organic table is placed where the significant difference is occurring.

[0029] In addition, the step for verifying the possibility of the above-mentioned fraudulent activity may further include a dealer identification step for identifying the dealer in each organic game, and the step for determining the above-mentioned abnormal point may include a step for identifying the dealer in charge of a series of games in which a significant difference occurs.

[0030] In addition, the above-mentioned step for verifying the possibility of fraud may additionally include an artificial intelligence learning step that learns from past fraudulent game data as teacher data.

[0031] In addition, the fraud monitoring system for the above-mentioned table game may further include a device for identifying the game participant of the organic game table from a facial recognition system or from information on a used credit card. Effects of the invention

[0032] With the above configuration, the present invention can prevent damage caused by fraud by continuously monitoring the amount bet by a game participant and the win / loss results, and by detecting suspicious patterns suspected of fraud through comparison with data from probability statistical calculations or past statistical data. Brief explanation of the drawing

[0033] FIG. 1 is a diagram showing an overall overview of a fault monitoring system in an organic field having an organic table of an embodiment of the present invention. FIG. 2 is a perspective view of a chip showing an example of a superimposed state of the chip identified in an embodiment of the present invention. FIG. 3 is a front cross-sectional view of an organic substitute currency in an embodiment of the present invention. FIG. 4 is a perspective view of a chip showing an example of a different superposition state of the chip identified in an embodiment of the present invention. FIG. 5 is a schematic diagram of a casino facility having a plurality of organic tables in an embodiment of the present invention. FIG. 6 is an example of a graph showing the return amount for each game participant in an embodiment of the present invention. FIG. 7 is a graph showing the winning rate of a game participant in an embodiment of the present invention. FIG. 8 is another graph showing the winning rate of a game participant in an embodiment of the present invention. FIG. 9 is a diagram showing an overview of a fraud monitoring system in an organic table of another embodiment of the present invention. Specific details for implementing the invention

[0034] Below, with reference to the drawings, an overview of the cheating monitoring system (10) for table games in an amusement park is described. Here, table games include various table games such as baccarat, blackjack, poker, bridge, roulette, and dice. Below, the explanation is provided using baccarat as an example.

[0035] FIGS. 1 and 2 are drawings showing the entirety of the fraud monitoring system (10). The organic table (4) is a table for baccarat, and each betting area (44) for seven game participants (6) is formed. Each game participant's (6) betting area (44) includes areas for Player (PLAYER) (441), Banker (BANKER) (442), Tie (TIE) (443), Player Pair (P) (444), and Banker Pair (B) (445). Each game participant (6) places an organic substitute currency (9) of the betting amount in each area corresponding to the betting target.

[0036] In the organic table (4), a card distribution device (3) is used as a win / loss determination device for determining the win / loss result of each game. The card distribution device (3) is a so-called electronic shoe already used by those skilled in the art, and is structured to have the rules of the game programmed in advance and to read the information of the distributed playing cards to determine the win / loss result of the game. For example, in a baccarat game, the Banker win, the Player win, the Tie (draw), and the Pair (the rank of the hand held by the Player or the Banker is the same) are basically determined by the rank of 2 to 3 cards, and the determination result (win / loss result) is displayed by the result display lamp (13). Also, the card distribution device (3) sends the determined game win / loss result to the management control device (50).

[0037] However, as another embodiment, instead of the card distribution device (3), the drawn playing card may be image-recognized by the camera device (2) and the win / loss determination device may be used.

[0038] A camera device (2) is formed above an organic table (4) and photographs the bat area (44). In the organic table (4) of this embodiment, seven player positions (45) ("1," "2," "3," "5," "6," "7," "8" in FIG. 1) are formed, and seven game participants (6) can participate in the game. The camera device (2) photographs the bat area (44) of all player positions (45). Additionally, it is not necessary to photograph the bat area (44) of all player positions (45) by a single camera device (2), and it is also possible to photograph all bat areas (44) by dividing the work among multiple camera devices (2).

[0039] The organic substitute currency (9) has markings, shapes, and / or colors that can identify its type (value) from its surface and / or side, and the betting chip measuring device (19) identifies the location (betting target), type, and quantity of the organic substitute currency (9) placed in the betting area (44) based on an image captured by the camera device (2) and the color of the edge of the side of the organic substitute currency (9). At this time, the betting chip measuring device (19) may be configured to accurately identify the location and quantity, etc. by using a conventional artificial intelligence-based computer or control system, a self-learning function based on deep learning (structure) technology, etc., to recognize the concealment caused by the blind spot of the organic substitute currency (9) (cases where part of a chip is concealed, or where the entire chip is concealed).

[0040] Additionally, the organic substitute currency (9) may have a configuration in which layers of plastics of different colors are laminated as shown in FIG. 4, a colored layer (121) is provided in the middle, and white layers or thin layers (120) are laminated on both sides with the colored layer (121) in between to form a striped shape in the lamination direction on the side, and the type of organic substitute currency (9) can be specified by the colored layer. In this case, the type of organic substitute currency (9) (10 points, 20 points, 100 points, 1000 points, etc.) can be specified by changing the color of the colored layer (121) (red, green, yellow, blue, etc.).

[0041] In this case, as shown in FIG. 4, it has a stacked multilayer structure (compared to the conventional chip shown in FIG. 2), and since a striped pattern in the stacking direction is clearly formed on the side, the betting chip measuring device (19) can easily and accurately measure the type and quantity of organic substitute currency (9).

[0042] Alternatively, the structure for detecting the location and type of organic substitute currency (9) in the betting area is not limited to this, and, for example as shown in FIG. 3, an RFID (125) storing information that can identify at least the type of organic substitute currency (9) may be embedded in the organic substitute currency (9), and the structure may be configured to detect the location (betting target), type, and number of organic substitute currency (9) placed in the betting area (44) by reading the ID by an RFID antenna (not shown) installed on the organic table (4).

[0043] In front of the dealer (5) of the organic table (4), an organic substitute currency tray (17) is formed for the dealer (5) to receive the organic substitute currency (9). At least a part of the organic substitute currency tray (17) is embedded in the organic table (4). In the organic substitute currency tray (17), the type and quantity of organic substitute currency (9) can be determined by analyzing and measuring the organic substitute currency (9) stacked in the transverse direction using a betting chip measuring device (19). In this case as well, the betting chip measuring device (19) may determine the location (betting target), type, and quantity of organic substitute currency (9) contained in the organic substitute currency tray (17) based on the color of the side edge of the organic substitute currency (9) based on an image captured by the camera device (2), or, for example as shown in FIG. 3, an RFID (125) storing information that can determine the type of at least is embedded in the organic substitute currency (9), and may be configured to determine the location (betting target), type, and quantity of organic substitute currency (9) contained in the organic substitute currency tray (17) by reading the ID by an RFID antenna (not shown) installed on the organic table (4).

[0044] The management control device (50) is equipped with the function of determining the location, type, and quantity of the substitute currency (9) for organic use on the organic table (4) obtained by the betting chip measuring device (19), and performing a calculation of the casino side's profit and loss on the organic table (4) using the win / loss result obtained from the card distribution device (3) as a win / loss judgment device, and storing the number of games played on the organic table (4), and using the measurement result of the betting chip measuring device (19) for each game, storing the location and amount of the substitute currency (9) for organic use placed by the game participant (6) on the organic table (4) for each game participant (6) or player position (45) of the organic table (4).

[0045] Additionally, the management control device (50) is equipped with a calculation function that performs the liquidation amount of each game (the casino side's profit and loss calculation in the organic table (4)) for each game, and is structured to be able to calculate whether the increase or decrease in the organic substitute currency corresponding to the liquidation is correct after liquidation is performed and liquidation is performed with the organic substitute currency (9) bet by each game participant (6) after each game, and the total amount of organic substitute currency (9) in the organic substitute currency tray (17) of the dealer (5) of the organic table (4). The management control device (50) can verify the total amount of organic substitute currency (9) in the organic substitute currency tray (17) at all times (or at predetermined time intervals).

[0046] The management control device (50) stores the total number of games in which the same person participated for each game participant (6) or player position (45), the trend of the betting chip amount for each game, and the return amount obtained for each game. The return amount refers to the amount obtained as a result of the betting by the game participant (6). The management control device (50) calculates the winning rate at the end of each game as shown in FIG. 7 based on the total number of games, the trend of the betting chip amount for each game, and the return amount obtained for each game, and aggregates the return amount obtained for each game to obtain the results of the actual winning rate and total return amount for the same person for each game participant (6) or player position (45) at the time when a predetermined number of games has ended. The management control device (50) has a calculation function that determines whether there is a significant difference between the obtained actual win rate and total return amount and the numbers in the probability statistics calculation, and specifies one of the game participants (6) or player positions (45) or organic tables (4) or rooms where organic tables (4) are placed that have a significant difference.

[0047] Specifically, the management control device (50) may determine that there is a significant difference when, for example, the ratio of the winning rate to the number of games is higher than a predetermined threshold compared to the number in the probability statistics calculation, or the ratio of the total return amount to the number of games is higher than a predetermined threshold compared to the number in the probability statistics calculation, or the ratio of the total return amount to the winning rate is higher than a predetermined threshold compared to the number in the probability statistics calculation, or the total return amount obtained by one person is higher than a predetermined threshold compared to the number in the probability statistics calculation, or the difference may be determined by other criteria.

[0048] FIG. 5 shows an overall view of a room having multiple organic tables (4). A management control device (50) records the total number of games, the trend of the betting chip amount for each game, and the return amount obtained for each game for each game participant (6) or player position (45) of each multiple organic table (4), and obtains the winning rate and the total return amount. The management control device (50) may also record the total number of games, the trend of the betting chip amount for each game, and the return amount obtained for each game for each organic table (4) and each room, and obtain the winning rate and the total return amount. By doing so, it is possible to detect fraudulent activity committed by cooperation across the entire game table or the entire room.

[0049] The management control device (50) may additionally have a function to identify the dealer (5) in each organic game, and may also have a function to identify the dealer (5) in charge of the series of games in which the above significant difference occurs. In addition, the management control device (50) may store the total number of games, the trend of the betting chip amount for each game, and the return amount obtained for each game for each dealer (5), obtain the winning rate and the total return amount, and detect the dealer (5) who is likely to be leading the fraudulent activity.

[0050] Figure 6 is a diagram showing the trend of the total return amount of each game participant (6) over time, and can detect game participants (6) who are likely to be committing fraud by comparing with data from probability calculations or past statistical data, or by comparing with each other among game participants (6).

[0051] The management control device (50) is equipped with a calculation function that factorizes the total return amount in a series of games in which a significant difference occurred and determines whether the cause of the significant difference in a series of games in which a significant difference occurred is due to the winning rate or due to the size of the bet amount of the betting chips. That is, it can be determined whether the total return amount is large because the same amount of money is bet on both when winning and when losing, and the probability of winning is simply high, or whether the total return amount is large because the probability of winning is not very high, but a large amount is bet when winning and a small amount is bet when losing.

[0052] In addition, the management control device (50) has a calculation function that stores the amount of betting chips for each organic game at a betting position with a different return multiplier, and determines whether the cause of the significant difference in a series of games with a significant difference is related to a betting position with a different return multiplier. For example, in Baccarat, the return multiplier is 2 times for Player / Banker, 8 times for Tie, and 11 times for Pair. Therefore, it is possible to detect a betting method that wins only with a betting method with a high return multiplier, such as Tie or Pair, which is highly likely to be a fraudulent act. In particular, Tie is famous as a fraudulent act because it is established when 10 or picture cards (J, Q, K) are in succession.

[0053] Additionally, the management control device (50) has multiple criteria for determining whether there is a significant difference, and emits a different type of warning for each criterion. For example, if the detected significant difference is a significant difference that can occur with a frequency of about once every three days, it emits a first-stage warning; if the detected significant difference is a significant difference that can occur with a frequency of about once a week, it emits a second-stage warning; and if the detected significant difference is a significant difference that can occur with a frequency of about once a month, it emits a third-stage warning. When fraud is detected, an abnormality indicator lamp (16) formed on both sides of the win / loss judgment device (3) or the organic table (4) is turned on, and the detection of fraud is output (15) wirelessly or wired to the casino management department, etc. A monitor or lamp that receives the judgment result and displays a warning or display may be provided in another location. Also, it may be configured to play a VTR recorded in the camera device (2) when a warning is received.

[0054] Figure 7 is a graph showing the change in the winning rate of a game participant (6) over the number of games. For example, in this case, the winning rate is high in the 100th to 200th game, but since the number of games is small, it is within the range that can occur according to probability calculations, so a warning of the first stage is issued. After that, the winning rate is low, so the warning is turned off, but the winning rate rises again in the 1000th game. In this case, since the winning rate is high despite the large number of games, it is an event that is unlikely to occur according to probability calculations, so a warning of the third stage is issued.

[0055] In addition, the management control device (50) has a judgment criterion for a different significant difference for each number of games classified by a predetermined rule or for each predetermined number of games, and issues different types of warnings. For example, in a table game using shuffled playing cards such as baccarat, 8 to 10 decks of playing cards are shuffled and stored in a box, and the shuffled playing cards are set in a card distribution device (3) to play the game. FIG. 8 shows a graph that aggregates data on the winning rate (of Shoe 1S, Shoe 2S, Shoe 3S) classified for each box of shuffled playing cards used in the game (this is called a Shoe). By doing so, it is possible to detect fraudulent activities, such as knowing the arrangement order inside a specific box of shuffled playing cards, which cannot be detected by monitoring the overall winning rate alone. In the graph at the top of FIG. 8 which continuously monitors the overall winning rate, the winning rate appears high at the very beginning and then appears to have no distinguishing features thereafter. However, looking at the graph separated by shoe at the bottom of Fig. 8, the winning rate is higher in Shoe 3S, so it can be detected that there is a high possibility of cheating. Also, the graph shows the same winning rate in Shoe 1S and Shoe 3S, so it can be detected that there is a high possibility of cheating.

[0056] In addition, the management control device (50) determines whether there is a significant difference sequentially for each game or every predetermined number of games as the game progresses, and issues a warning at the stage where the criteria for determining a significant difference are exceeded. For example, if 50 games are played and the win rate is 70%, it is difficult to determine that there is a significant difference, but if 500 games are played and the win rate is 70%, it is determined that there is a significant difference and the suspicion of cheating increases.

[0057] The management control device (50) can calculate the probability of occurrence for each game unit and determine whether there is a significant difference. For example, if each game unit is 75 game units, it calculates the probability of the 1st to 75th results being consecutive, and then calculates the probability of the 2nd to 76th results being consecutive, and outputs a warning when the probability of occurrence exceeds the criteria for determining a significant difference. The game unit is not limited to 75 games, but may be 100 games, 300 games, etc. Also, the management control device (50) can calculate the probability of occurrence for each bet type and each box number.

[0058] In addition, the management control device (50) has multiple criteria for determining whether there is a significant difference, and for each criterion, it can specify a game participant (6) or player position (45) that has the possibility of fraud, score each different criterion, and display a warning score or rank.

[0059] In addition, the management control device (50) may perform the calculation of the number in the probability statistical calculation used to determine whether there is a significant difference by using a conditional probability calculation in which a specific factor is fixed. For example, the number of games may be fixed and the calculation may be performed using a conditional probability calculation.

[0060] The management control device (50) additionally has the function of sequentially identifying the numbers drawn on a playing card or die in a series of games, and can guess the cause of the fraud in cases where a significant difference is determined based on the data of the numbers drawn in the series of games and enumerate possible causes of fraud. For example, based on the data of the numbers drawn in the series of games, if it is known that the player is winning when the number of the first playing card drawn is 9, it can be guessed that knowing the position of the 9 playing card is the cause of fraud.

[0061] In addition, the management control device (50) may estimate the cause of the fraud in cases where a significant difference is determined by using either or both of the big data regarding past games or the data on past fraud, and may list the causes of the fraud that may be possible.

[0062] Additionally, the management control device (50) may be equipped with a calculation function that determines whether there is a significant difference between the two by comparing the result of the casino's income or expenditure at the time a predetermined number of games is finished with the number of casino's income or expenditure at each organic table (4) and the number of probabilistic statistics calculations based on the total number of games played at each organic table (4) and the trend of the casino's income and expenditure at each game, and by specifying the organic table (4) where a significant difference occurs or the room in which the organic table (4) is placed. In this case, it is not necessary to determine the betting amount for each game participant (6), and only the number of substitute currency trays for organic use needs to be determined.

[0063] In addition, the cheating detection system for the table game may additionally have a device that identifies the game participant (6) of the organic table (4) from information such as a face recognition system or used ID card, credit card, etc.

[0064] In the case of a face authentication system, an image of the face is obtained by extracting feature points, etc., and an identity number (ID, etc.) is assigned to identify the player. Then, when the identified game participant (6) leaves their seat and sits at another table, the system has a warning function that notifies the other table of the presence of the identified player. Specifically, it can warn the pit manager or the person in charge of each table who manages each table (4).

[0065] In another embodiment of the present invention, the management control device (50) stores the total number of games in which the same person participated for each game participant (6) or player position (45), the trend of the betting chip amount for each game, and the return amount obtained for each game. The return amount refers to the amount obtained as a result of the betting by the game participant (6). The management control device (50) has an artificial intelligence in which past fraudulent game data is taught as teacher data, and has a calculation function that determines whether a significant difference with the possibility of fraud has occurred in the game participant (6) or player position (45), the organic table (4), or the room in which the organic table (4) is placed, based on the total number of games, the trend of the betting chip amount for each game, and the return amount obtained for each game as the basis for calculation when a predetermined number of games has ended.

[0066] For example, the management control device (50) is an intelligent control device that identifies the position (position where bets were placed on Player, Banker, or Pair) and amount (type and quantity) of the organic substitute currency (9) bet on the organic table (4), and compares the win / loss history of each game participant (6) and the amount of chips obtained (amount won) obtained by the win / loss result of each game with statistical data of a large number of past games (big data), and is an artificial intelligence-utilizing or deep learning structure capable of extracting a unique situation (set by the casino). Typically, the occurrence of winnings of a certain amount (1 million dollars) or more, or in a play position 7 of an organic table (4), a state in which the amount of betting chips when losing is small and the amount of betting chips when winning is large continues for several games, and the management control device (50) of an artificial intelligence-utilizing or deep learning structure capable of extracting this as an unusual situation when compared with statistical data (big data, etc.) of past games. In addition, the management control device (50) can identify what the cause of the cheating is by comparing it with statistical data of past games.

[0067] The management control device (50) can detect the type of cheating newly detected by the artificial intelligence because it has artificial intelligence that is taught with past cheating game data as teacher data.

[0068] The management control device (50) estimates the cause of the fraud in cases where a significant difference is determined by using big data regarding past games as an additional item, and lists the causes of the fraud that may be fraudulent.

[0069] In addition, in a fraud monitoring system of another embodiment of the present invention, the management control device (50) has an artificial intelligence that is taught with past fraudulent game data as teacher data, and also has a calculation function that determines whether a significant difference with the possibility of fraud has occurred in the game participant (6) or player position (45), or organic table (4), or room in which the organic table (4) is placed, based on the total number of games in which the same person participated for each game participant (6) or player position (45), the trend of the betting chip amount for each game, the win or loss of each game, and the return amount obtained for each game, at the time when a predetermined number of games has ended.

[0070] In another embodiment of the present invention, a cheating detection program for a table game comprises: a win / loss determination step for determining the win / loss result of each game on an organic table (4); a betting chip identification step for determining the amount of organic substitute currency (9) bet by a game participant (6) on the organic table (4) in each game; a game progress identification management step for storing the number of games played on the organic table (4) and, using the trend data of the betting chips from the betting chip identification step for each game, specifically storing the betting pattern of the organic substitute currency (9) placed by the game participant (6) on the organic table (4) for each game participant (6) or player position (45); and a cheating possibility verification step. The cheating possibility verification step identifies the total number of games in which the same person participated, the trend of the betting chip amount, and the return amount for each game for each game participant (6) or player position (45), and uses this as a basis for calculation, so that the actual of the same person for each game participant or player position at the time when a predetermined number of games has ended It has a step for calculating the win rate and a step for calculating the total return amount, a significant difference determination step for determining whether there is a significant difference between the two by comparing the obtained win rate and total return amount with the win rate and total return amount based on probability statistics calculations or past data over a predetermined number of games, and an abnormal point determination step for specifying one of the game participants or player positions, organic tables, or rooms where organic tables are placed where a significant difference occurs.

[0071] The step for verifying the possibility of fraudulent activity further includes a dealer identification step for identifying the dealer (5) in each organic game, and in the abnormal point determination step, a step for identifying the dealer (5) in charge of a series of games in which a significant difference occurs.

[0072] The verification step for the possibility of cheating includes an additional artificial intelligence learning step that learns from past cheating game data as teacher data.

[0073] The cheating detection system for a table game additionally has a device that identifies a game participant (6) of an organic table (4) from a face recognition system or information from a credit card used.

[0074] Although Baccarat has been used as an example above, the table game may be roulette as shown in FIG. 9. In roulette, one type of organic substitute currency (9) with a different color is used for each player, and each game participant (6) places an organic substitute currency (9) of a different color in the betting area (54) to place a bet. The camera device (2) identifies the number and amount of organic substitute currency (9) bet in the betting area (54) and identifies the game participant (6) who placed the organic substitute currency (9) by recognizing the color of the organic substitute currency (9). The win / loss determination in roulette is performed by the camera device (2) recognizing the pocket (58) containing the ball (59) within the wheel (57). Alternatively, the dealer (5) may have a win / loss determination device that is performed by hand input.

[0075] In addition, although I will not go into detail, it may also be various table games such as blackjack, poker, bridge, and dice. Explanation of the symbols

[0076] 1 : Playing card 2 : Camera, surveillance camera 3 : Card distribution device 4 : Organic Table 5 : Dealer 6 : Game Participants 9 : Chip (Organic substitute currency) 44 : Bet Area 441 : Player Area 442 : Banker Area 443 : Thai Area 444 : Player Fair Area 445 : Banker Pair Area 121: Colored layer 122: White layer or thin layer 125 : RFID

Claims

Claim 1 A first sensor configured to generate first sensor data based on the detected distribution of one or more cards from a card shoe to a game table; a second sensor configured to generate second sensor data indicating the amount of an object and the location of an object for a Wager Source, which is a game participant or player position, for each game of one or more games played through the game table; and one or more processors connected to the first sensor and the second sensor, wherein the one or more processors: for each game of the one or more games, determine the return amount obtained by the Wager Source in the game based on the amount of game object identified based on the second sensor data, the location of the game object identified based on the second sensor data, and the win / loss result of the game determined based on the first sensor data; and determine the win rate and total return amount for the Wager Source in the one or more games based on one or more return amounts associated with a predetermined number of the one or more games; A fraud monitoring system configured to determine whether there is a significant difference between the first numerical attribute and the second numerical attribute based on a comparison between the first numerical attribute of the determined winning rate and the determined total return amount and the second numerical attribute of the winning rate and the total return amount obtained by probability statistics calculation. Claim 2 In claim 1, the second sensor comprises a camera or a radio frequency identification (RFID) sensor, in a fraud surveillance system. Claim 3 A fraud monitoring system according to claim 1, wherein the one or more processors are further configured to track the one or more games based on the first sensor data. Claim 4 A fraud monitoring system according to claim 1, wherein the one or more processors, for each game of the one or more games: obtain a win / loss result determined based on the first sensor data; and further configured to determine the quantity of the object and the location of the object based on the second sensor data. Claim 5 A fraud monitoring system according to claim 1, wherein the one or more processors: receive an indication of a win / loss result determined based on the first sensor data; and for each game of the one or more games, further configured to store token data associated with the amount of an object for the game and the location of an object for the game. Claim 6 A fraud monitoring system according to claim 1, further comprising the card shoe, wherein the card shoe comprises the first sensor. Claim 7 A fraud monitoring system according to claim 1, wherein the one or more processors are further configured to perform the comparison based on a first numerical attribute of the determined winning rate and the determined total return amount and a second numerical attribute of the winning rate and the total return amount obtained by the probability statistics calculation. Claim 8 A fraud monitoring system according to claim 1, wherein the one or more processors comprise: a first processor configured to determine the win / loss result; and a second processor configured to determine the amount of the object and the location of the object. Claim 9 A fraud monitoring system according to claim 1, wherein one or more processors are configured to identify and output the cause of the significant difference. Claim 10 A fraud monitoring system according to claim 1, wherein the one or more processors: perform the comparison to determine whether there is a significant difference for each of at least two games played sequentially among the one or more games or for a predetermined number of the one or more games played; and further configured to issue a warning based on the determined significant difference. Claim 11 A fraud monitoring system according to claim 1, wherein the one or more processors: perform the comparison to determine whether there is a significant difference according to each of a plurality of predefined criteria; and further configured to identify which of the plurality of predefined criteria the significant difference was confirmed. Claim 12 A fraud monitoring system according to claim 11, wherein the one or more processors are configured to select one or more of a plurality of predefined warnings for output in response to the determined significant difference according to which of the plurality of predefined criteria the significant difference is determined. Claim 13 A fraud monitoring system according to claim 11, wherein one or more processors are configured to determine a respective score for each of the plurality of predefined criteria. Claim 14 A fraud monitoring system according to claim 1, wherein one or more processors are configured to determine whether there is a significant difference based on a conditional probability calculation. Claim 15 A fraud monitoring system according to claim 1, wherein one or more processors: execute an artificial intelligence program developed using past fraudulent game data as teacher data to determine whether there is a significant difference; and are configured to identify a game table among a plurality of game tables where the significant difference occurred or a room having said game table. Claim 16 A fraud monitoring system according to claim 15, wherein the one or more processors are further configured to: identify each dealer managing each of the plurality of games; and determine which of the plurality of game participants, which of the dealers, or which of the plurality of player positions the occurrence of the significant difference is associated with. Claim 17 In claim 1, the object is a fraud monitoring system comprising a game token or currency. Claim 18 A fraud monitoring system according to claim 1, wherein the one or more processors: associate the movement of the object on the game table with one of the one or more games, and determine the casino revenue and expenditure at the game table for each of the one or more games based on the associated movement; for a predetermined number of the one or more games, perform a comparison based on the casino revenue and determined casino expenditure at the game table for each of the one or more games and a figure obtained by probability statistical calculation, and determine whether there is a different significant difference between the two based on the comparison according to each of a plurality of predefined criteria; and if it is determined that there is a different significant difference: identify which of the plurality of predefined criteria the significant difference was confirmed according to; and further configured to identify the game table among the plurality of game tables where the different significant difference occurred or the room having said game table. Claim 19 A step of receiving first sensor data from a first sensor in one or more processors based on the detected distribution of one or more cards from a card shoe to a game table; a step of receiving second sensor data from a second sensor in one or more processors, for each game of one or more games played through a game table, indicating the amount of an object and the location of an object for a bettor who is a game participant or player position; a step of determining a return amount obtained by the bettor in a game based on the amount of a game object identified based on the second sensor data, the location of a game object identified based on the second sensor data, and the win / loss result of the game determined based on the first sensor data for each game of the one or more games; a step of determining a win rate and a total return amount for the bettor in one or more games in a predetermined number of games based on one or more return amounts associated with a predetermined number of one or more games. A fraud monitoring method comprising the step of determining whether there is a significant difference between the first numerical attribute and the second numerical attribute based on a comparison between the first numerical attribute of the determined winning rate and the determined total return amount and the second numerical attribute of the winning rate and the total return amount obtained by probability statistical calculation. Claim 20 A method for monitoring fraud according to claim 19, further comprising the step of issuing a warning based on the determined significant difference. Claim 21 delete Claim 22 delete Claim 23 delete Claim 24 delete Claim 25 delete Claim 26 delete

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