Cheating detection system of amusement ground

Abstract

The invention provides a novel system for detecting cheating behaviors in games on a game site, or errors and cheating behaviors when placing game coins and actuarial. A cheating detection system for detecting cheating behavior in a game in which coin collection and repayment are performed in accordance with a win / loss result is provided with: a camera (2) for capturing an image of coin (9) stored in a coin tray (17) of a dealer (5); an image analysis device (12) that analyzes the image captured by the camera (2) and detects the amount of game coins (9) stored in the game coin tray (17); a card issuing device (13) for determining the result of winning and losing the game; and a control device (14) that detects a cheating behavior by comparing a win-loss result of the game with the amount of the game coins (9) stored in the game coin tray (17) before and after the collection and repayment of the game coins.

Description

[0001] Divisional application

[0002] This application is a divisional application of a patent with an application date of August 2, 2016, a patent application number of 201680045982.3, and an invention name of "Cheating Detection System for Amusement Parks".

[0003] References to related applications

[0004] This application claims the rights to Patent Application No. 2015-163213 filed in Japan on August 3, 2015, and Patent Application No. 2015-206735 filed in Japan on October 1, 2015, the contents of which are hereby incorporated by reference. Technical Field

[0005] The present invention relates to a system for detecting cheating in a game at an amusement park, or errors and cheating in placing and calculating game coins. Background Art

[0006] Attempts are underway to prevent various forms of cheating in casinos and other amusement parks. These venues are equipped with surveillance cameras to monitor cheating. Images captured by the surveillance cameras are used to identify cheating in the game, as well as cheating involving the collection and redemption of game coins that differ from winning or losing outcomes, to prevent cheating.

[0007] On the other hand, in order to grasp the number and total amount of placed tokens, it has been proposed to attach a wireless IC (RFID) tag to each token to grasp the amount of the tokens.

[0008] In the card game monitoring system described in International Publication No. 2015 / 107902, cheating behavior is monitored by performing image analysis on the changes in game coins to determine whether the game coins placed on the game table are recovered or returned according to the winning or losing results. Summary of the Invention

[0009] Problems to be solved by the invention

[0010] The present invention aims to provide a new system for detecting cheating in casino games or errors and cheating when placing and calculating game coins.

[0011] Solutions to the Problem

[0012] One embodiment of the present invention is a cheating detection system for an amusement park having a plurality of gaming tables, comprising: a game recording device for recording the status of games played at the gaming tables as images via a camera; an image analyzing device for performing image analysis on the recorded images of the game status; a win / loss result determining device for determining the win / loss results of each game played at the gaming tables; and a control device for detecting cheating at the gaming tables using the image analysis results of the image analyzing device and the win / loss results determined by the win / loss result determining device; the control device detects cheating at the gaming tables using the image analysis results of the image analyzing device and the win / loss results determined by the win / loss result determining device; the control device detects cheating at the gaming tables using the image analyzing device. The position, type and number of game coins, and the total amount of game coins in the game coin tray of the dealer of the gaming table are grasped, and the increase or decrease of the game coins in the game calculated according to the position, type and number of game coins placed by all players in the game and the win or loss result of the game obtained by the win or loss result determination device are added or subtracted from the total amount of game coins in the game before the settlement of each game, and the total amount of game coins in the game coin tray after settlement at the end of the game is compared with the actual total amount of game coins in the game coin tray at the end of the game obtained by the image analysis device to determine whether there is a difference between the expected total amount and the actual total amount.

[0013] In the above-mentioned cheating detection system, the control device can also grasp the position, type and number of game coins placed by each player with the help of the image analysis device, and grasp the actual total amount of game coins in the game coin tray when the recovery of all the lost game coins placed by each player is completed. The total amount of game coins in the game coin tray before the settlement of each game is calculated by adding the increase in the game coin tray in the game according to the position, type and number of the game coins placed by the losing player, and compare it with the actual total amount of game coins in the game coin tray to determine whether there is a difference between the expected total amount and the actual total amount.

[0014] In the above-mentioned cheating detection system, the control device may also compare the total amount of game coins in the game coin tray before each game settlement, the total amount of game coins in the game coin tray obtained by adding the position, type and number of game coins placed by the losing player to the increase in the game coin tray in the game, and the actual total amount of game coins in the game coin tray, and determine that there is no difference between the total amount and the actual total amount. The control device may also compare the total amount of game coins in the game coin tray after actuation at the end of the game with the actual total amount of game coins in the game coin tray at the end of the game obtained by the image analysis device. If it is determined that there is a difference between the total amount and the actual total amount, it is determined to be a payment error, and a payment error signal is generated to notify the payment error.

[0015] In the above-mentioned cheating detection system, a game coin recovery tray for recovering and temporarily storing the game coins placed by the losing player may be provided in the game coin tray. The image analysis device and the control device compare the expected amount of game coins in the game coin recovery tray calculated based on the position, type and number of game coins placed by the losing player with the actual total amount of game coins in the game coin recovery tray to determine whether there is a difference between the expected total amount and the actual total amount in the game coin recovery tray.

[0016] Alternatively, in the cheating detection system, the image analysis device may determine that the actual total amount of game coins in the game coin tray after clearing at the end of the game is any one of the following moments:

[0017] 1) When the repayment of the won game coins is completed;

[0018] 2) When the cards used in the game are recovered and discarded in the discard area of the table;

[0019] 3) When a prescribed button attached to the winning / losing result determination device is pressed;

[0020] 4) When the symbols indicating winning or losing are restored.

[0021] In the above-mentioned cheating detection system, when the control device determines that the actual total amount of game coins held in the game coin tray of the dealer of the gaming table does not correspond to the increase or decrease in the game coins calculated based on the amount of game coins placed by all players and the winning or losing results of the game, the game recording device can analyze the records of the game that produces the difference, and the game recording device is constructed to assign an index or time to the obtained image, or to be able to determine and reproduce the game coin recovery scene or payment scene.

[0022] In the above-mentioned cheating detection system, the image analysis device or the control device may be configured to obtain information on the type, number and position of the placed game coins even if a portion or a whole of the game coins placed on the gaming table are hidden due to a blind spot of the camera.

[0023] Alternatively, in the cheating detection system, the control device may be configured to perform the following operations:

[0024] 1) Understand the location, type, and number of game coins placed at each playing position on the game table, compare the win / loss history of each player and the amount of game coins obtained from the win / loss results of each game with the statistical data of past games, and extract abnormal conditions, or

[0025] 2) The state in which the amount of coins placed when losing is less than the amount of coins placed when winning at the playing position of the game table is compared with the statistical data of past games and extracted as an abnormal situation.

[0026] In the above-mentioned cheating detection system, the control device can also compare and determine the amount of game coins held in the game coin tray of the dealer of the gaming table, and after purchasing game coins with paper money, whether the amount is reduced according to the payment amount of the game coins corresponding to the paper money used for purchase, or the payment amount of the paper money corresponding to the purchased game coins.

[0027] In the above-mentioned cheating detection system, the control device may also have a database that records the purchase history of game coins purchased with paper money, and can refer to the database at a certain time or per day to compare and determine whether the amount of game coins held in the game coin tray of the dealer of the gaming table has been reduced based on the payment amount of the game coins corresponding to the paper money used for purchase, or the total amount of the payment amount of the paper money corresponding to the purchased game coins.

[0028] Alternatively, in the cheating detection system, the control device may be capable of determining the player of the playing position extracted as the difference or abnormality by means of the image analysis device.

[0029] In the cheating detection system, the control device may have a warning function for notifying another gaming table of the presence of the specific player when the identified player leaves his seat and takes a seat at another gaming table.

[0030] Alternatively, in the above cheating detection system, the control device may further have a function of determining at least one of the following:

[0031] 1) In each game, whether there is no change in the game coins from the time the cards are drawn or the dealer starts the game until the card distribution device displays the winning or losing result of the game,

[0032] 2) After each game is over, during the period when the dealer collects the game coins placed by the loser among the game participants, whether the loser does not take the game coins,

[0033] 3) After each game is over, during the period when the dealer collects the game coins placed by the losers among the game participants, whether additional game coins are added,

[0034] 4) After each game is over, whether the dealer pays the position of the game coin placed by the winner among the game participants,

[0035] 5) After each game is over, whether the winner among the game participants takes the game coins placed and the game coins paid.

[0036] Alternatively, in the cheating detection system, the win / loss result determination device may be a card issuing device that issues cards at a gaming table, or a control device that determines the win / loss result of each game based on information from the image analysis device that reads cards issued at the gaming table using a camera.

[0037] Effects of the Invention

[0038] According to the cheating detection system of the present invention, cheating in the collection and redemption of game coins performed according to the winning or losing results of the game can be detected.

[0039] Furthermore, the system of the present invention can determine the card size and suit through image analysis, even if the cards are bent due to repeated squeezing by players in a card game. It can also determine the total amount and location of blind spots and overlapping game coins. Furthermore, it can detect cheating when purchasing game coins with paper money. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a diagram showing an overall overview of a cheating detection system in a gaming arcade having a plurality of gaming tables according to a first embodiment of the present invention.

[0041] Figure 2A These are perspective views of game tokens showing examples of different stacking states of game tokens according to the first embodiment of the present invention.

[0042] Figure 2B These are perspective views of game tokens showing examples of different stacking states of game tokens according to the first embodiment of the present invention.

[0043] Figure 3A It is a figure which shows the detail of the medal tray which concerns on 1st Embodiment of this invention.

[0044] Figure 3B This is a diagram showing another example of the medal tray according to the first embodiment of the present invention.

[0045] Figure 4 This is an enlarged view of a mark for explaining the dirt on a grasped card in the first embodiment of the present invention.

[0046] Figure 5A It is a plan view showing the front side of the sign according to the first embodiment of the present invention.

[0047] Figure 5B It is a plan view showing the back side of the sign according to the first embodiment of the present invention.

[0048] Figure 6This is a simplified explanatory diagram of an image showing a grasped purchase status of game tokens purchased with paper money in the first embodiment of the present invention.

[0049] Figure 7 This is a plan view showing the overall outline of a cheating detection system for a certain card game according to a second embodiment of the present invention.

[0050] Figure 8 This is a plan view schematically showing the progress status of a certain card game in the cheating detection system according to the second embodiment of the present invention.

[0051] Figure 9 This is an explanatory diagram showing how a dealer in a certain card game collects game coins won on the casino side.

[0052] Figure 10 This is an explanatory diagram showing a situation in which a dealer pays a winning guest (game participant) in a card game according to the second embodiment of the present invention.

[0053] Figure 11 This is an explanatory diagram showing how a winning guest (game participant) receives game tokens and payouts in a card game according to the second embodiment of the present invention.

[0054] Figure 12A This is an explanatory diagram of an image to be analyzed for the recovery of casino-side winnings by a dealer in a cheating detection system according to a second embodiment of the present invention.

[0055] Figure 12B This is an explanatory diagram of an image to be analyzed for the recovery of casino-side winnings by a dealer in a cheating detection system according to a second embodiment of the present invention.

[0056] Figure 12C This is an explanatory diagram of an image to be analyzed for the recovery of casino-side winnings by a dealer in a cheating detection system according to a second embodiment of the present invention.

[0057] Figure 13 This is an explanatory diagram of an image to be analyzed for cheating recovery of game tokens in a cheating detection system according to a second embodiment of the present invention.

[0058] Figure 14A This is an explanatory diagram of an image to be analyzed for collecting tokens won by a game participant in a cheating detection system according to a second embodiment of the present invention.

[0059] Figure 14BThis is an explanatory diagram of an image to be analyzed for collecting tokens won by a game participant in a cheating detection system according to a second embodiment of the present invention.

[0060] Figure 14C This is an explanatory diagram of an image to be analyzed for collecting tokens won by a game participant in a cheating detection system according to a second embodiment of the present invention.

[0061] Figure 14D This is an explanatory diagram of an image to be analyzed for collecting tokens won by a game participant in a cheating detection system according to a second embodiment of the present invention.

[0062] Figure 15 It is a side sectional view of the card issuing device in the second embodiment of the present invention.

[0063] Figure 16 This is a diagram showing an example of cards according to the second embodiment of the present invention.

[0064] Figure 17 It is a plan view of the main part of the card issuing device according to the second embodiment of the present invention, with the card guide portion partially cut away.

[0065] Figure 18A This is a side sectional view of a main part showing a distribution restriction device that restricts the entry and exit of cards from a card storage portion of a card distribution device according to a second embodiment of the present invention.

[0066] Figure 18B This is a side sectional view of a main part showing a modified example of a distribution restriction device for restricting the entry and exit of cards from a card storage portion of a card distribution device according to a second embodiment of the present invention.

[0067] Figure 19 This is a diagram showing the relationship between output waveforms of sensors and marks in the card issuing device according to the second embodiment of the present invention. DETAILED DESCRIPTION

[0068] (First embodiment)

[0069] In casinos and other amusement parks, game coins are piled high on the gaming tables. However, IC tag readers installed beneath the gaming tables cannot accurately read the total amount. Increasing the reader's sensitivity can cause game coins placed at different locations (wins and losses depending on the location) to be combined, making it impossible to determine the total amount of game coins at each location. Furthermore, when capturing images from a camera, blind spots due to the camera's viewing angle or overlapping objects can obscure the total amount of game coins.

[0070] Moreover, although this is often done in certain card games, there is a problem: due to the player squeezing the card (bending the card with the back facing up and looking at the size of the card bit by bit while expectantly), the card is bent, and the size and suit of the card cannot be determined through image analysis from the camera.

[0071] Furthermore, new challenges are emerging: the increasing sophistication of gaming table cheating. At gaming tables, cheating based on sophisticated placement techniques, which cannot be detected simply by detecting large winnings, cannot be detected using cameras or tracking winnings. Furthermore, existing technologies cannot adequately prevent cheating based on collusion between dealers and players.

[0072] In order to solve the above-mentioned problems, a cheating detection system for a casino having a plurality of gaming tables according to a first embodiment is provided.

[0073] It is a cheating detection system for casinos with multiple gaming tables, with:

[0074] a game recording device for recording the progress of the game played at the gaming table, including the dealer and the players, as an image via a camera;

[0075] an image analysis device for performing image analysis on the recorded image of the progress of the game;

[0076] a card issuing device for determining and displaying the winning and losing results of each game on the gaming table; and

[0077] The control device detects cheating behavior at the gaming table using the image analysis result of the image analysis device and the win / loss result determined by the card issuing device.

[0078] In addition, in the cheating detection system, the card issuing device is constructed as follows: it is capable of reading the card size of the issued card, and the control device is constructed as follows: it is capable of comparing the card size information obtained by the image analysis device from the image of each card issued on the gaming table with the card size information of the card read by the card issuing device to determine whether they are consistent.

[0079] In addition, in the cheating detection system, the image analysis device or the control device is an artificial intelligence-utilizing type or deep learning structure capable of obtaining information on the face size of cards dealt at a gaming table and bent or soiled by players.

[0080] In addition, in the cheating detection system, the control device uses the image analysis device to grasp the position, type and number of game coins placed by each player, and by analyzing the image of the game progress status with the help of the image analysis device, it is determined whether the lost game coins placed by each player are correctly recovered and the won game coins are paid according to the winning or losing results of the game.

[0081] In addition, in the cheating detection system, the image analysis device or the control device is an artificial intelligence effective utilization type or deep learning structure that can obtain information on the type, number and position of the placed game coins even if a plurality of game coins placed on the gaming table are partially or entirely hidden due to the blind spot of the camera.

[0082] In addition, in the cheating detection system, the control device is an artificial intelligence effective utilization type or deep learning structure that can compare and calculate the amount of game coins held in the game coin tray of the dealer of the gaming table according to the winning or losing results of the game, and after the game is over and settled, whether the lost game coins placed by each player are recovered and the payment amount for the won game coins is increased or decreased.

[0083] In addition, in the cheating detection system, the control device is an artificial intelligence effective utilization type or deep learning structure that can grasp the position and amount of game coins placed at each playing position of the game table, compare the winning and losing history of each player and the amount of game coins obtained from the winning and losing results of each game with the statistical data of past games, and extract them as abnormal conditions.

[0084] In addition, in the cheating detection system, the control device is capable of comparing the state in which the amount of game coins placed when losing is less than the amount of game coins placed when winning at a playing position on a certain amusement table with the statistical data of past games, and effectively utilizing artificial intelligence or deep learning structure as an abnormal situation extraction.

[0085] In addition, in the cheating detection system, the control device is configured to be able to identify an individual player at a playing position who has been extracted as the abnormal situation by the image analysis device or has won a predetermined amount or more.

[0086] In addition, in the cheating detection system, the control device has a warning function for notifying the other gaming table of the presence of the specific player when the identified player leaves the seat and sits at another gaming table.

[0087] To address the aforementioned issues, the present invention provides a cheating detection system for a casino with multiple gaming tables, comprising:

[0088] a game recording device for recording the progress of the game played at the gaming table, including the dealer and the players, as an image via a camera;

[0089] a card issuing device for determining and displaying the winning and losing results of each game on the gaming table;

[0090] An image analyzing device for performing image analysis on the recorded image of the progress of the game; and

[0091] a control device capable of detecting banknotes and gaming coins at the gaming table using the image analysis results of the image analysis device;

[0092] The image analysis device or control device is an artificial intelligence effective utilization or deep learning structure as follows: based on the information obtained from the card issuing device or the dealer, it can detect that paper money is being used to purchase game coins at the gaming table, except during the distribution of cards, and recognize the total amount of genuine paper money verified by near-ultraviolet light. Furthermore, even if multiple game coins taken out from the gaming table as purchase objects are partially or entirely hidden due to the blind spot of the camera, the total amount of game coins can be recognized, and the total amount of paper money taken out from the players on the gaming table and the total amount of game coins taken out from the dealer can be compared to determine whether the two amounts are consistent.

[0093] In addition, in the cheating detection system, the control device is an artificial intelligence effective utilization type or deep learning structure that can compare and calculate the amount of game coins held in the game coin tray of the dealer of the gaming table, and after the game coins are purchased with paper money and settled, whether the payment amount of the game coins corresponding to the paper money used for purchase is reduced.

[0094] In the cheating detection system, the control device utilizes artificial intelligence or a deep learning architecture, capable of comparing and calculating, after a dealer inputs a purchase of gaming coins with banknotes and settlement, a banknote deposit amount based on the dealer's input and a total banknote amount determined by the image analysis device. Furthermore, the control device utilizes artificial intelligence or a deep learning architecture, capable of comparing and calculating a total banknote deposit amount based on the dealer's input at a gaming table for which the dealer is responsible and a total banknote amount determined by the image analysis device.

[0095] The cheating detection system of this embodiment can determine the card size and suit through image analysis, even if the cards are bent due to repeated squeezing by players in a card game. It can also determine the total amount and location of blind spots and overlapping game coins. Furthermore, it can detect cheating when purchasing game coins with paper money.

[0096] Hereinafter, the overall outline of the cheating detection system in a gaming arcade having a plurality of gaming tables according to the first embodiment of the present invention will be described in further detail. Figure 1 This diagram shows an overview of the system as a whole. The cheating detection system for an amusement park, which has multiple gaming tables 4, includes: a game recording device 11, which records the progress of games played at the gaming tables 4, including those played by players 6 and dealers 5, as video using multiple cameras 2; an image analysis device 12, which analyzes the recorded video of the progress of the games; and a card dealing device 3, which determines and displays the win / loss results of each game played at the gaming tables 4. The card dealing device 3 is a so-called electronic card, commonly used by those skilled in the art. It is pre-programmed with the game rules, and is capable of reading information from dealt cards C to determine the outcome of the game. For example, in a certain card game, whether B wins, P wins, or draws (ties) is essentially determined by the rank of two or three cards. The result (win / loss) is displayed by the result display lamp 13.

[0097] The cheating detection system also includes a control device 14 that compares the actual card rank based on the image analysis results of the image analysis device 12 with the win / loss results determined by the card distribution device 3 to detect cheating behavior at the gaming table 4 (e.g., discrepancies between the total rank of the dealt cards and the win / loss results). The card distribution device 3 is configured to read the rank (A, 2-10, J, Q, K) and suit (hearts, spades, etc.) of the cards C manually dealt by the dealer 5. The control device 14 is configured to compare the rank and suit information obtained by the image analysis device 12 (using artificial intelligence) from the images of each card dealt at the gaming table 4 (captured by the camera 2) with the card and suit information read by the card distribution device 3 to determine whether the rank and suit information match or disagree. The image analysis device 12 and the control device 14 in the cheating detection system are configured as a single or combined computer, program, and memory composed of multiple components.

[0098] The image analysis device 12 and the control device 14 have an artificial intelligence effective utilization type or deep learning structure that can obtain information on the card size even if the card C is dealt on the gaming table 4 and is bent or soiled by the player 6. Figure 4As shown, it is difficult to distinguish whether it is a club or a spade. Even in such a case, by using a computer or control system that effectively utilizes artificial intelligence, or deep learning (structural) technology to analyze and judge the image, it is possible to distinguish the suit. Moreover, even if the card is bent due to repeated squeezing of the card by players in a certain card game, etc., by using self-learning of deformation examples of multiple images, the suit and size of the card before deformation can be identified through a computer or control system that effectively utilizes artificial intelligence, or deep learning (structural) technology. Computer or control system that effectively utilizes artificial intelligence, or deep learning (structural) technology is already well known and can be used by those skilled in the art, so detailed description is omitted.

[0099] The control device 14 of the specific artificial intelligence effective utilization type or deep learning structure can grasp the position (P, B, or PAIR) of each player 6 in the placement area 8 where the game coin 9 is placed, the type of game coin 9 placed (the game coin 9 is assigned a different amount of value for each color) and the number of game coins 9 placed through the camera 2 and the image analysis device 12. The game coins 9 may not only overlap in the vertical direction, but also overlap in the vertical direction. Figure 2A In this case, when camera 2 is located at Figure 2A In the case of the arrow X direction shown (or the case of the game coin 9 being in a blind spot relative to the direction of the game coin 9), as shown in FIG. Figure 2B In that way, it is conceivable that the game coin 9 cannot be seen (entering a blind spot). The computer or control system or deep learning (structure) technology of the artificial intelligence effective utilization type can use self-learning functions, etc. to identify the concealment of the game coin 9 due to the blind spot (the situation where part of a game coin is concealed, or the situation where the game coin is concealed as a whole), and accurately grasp the number of pieces, etc. In this way, since it is possible to grasp which position (P, or B, or PAIR) the game coin 9 is placed in the placement area 8, the type of the game coin 9 placed (the game coin 9 is assigned a different amount of value according to each color) and the number of pieces, in each game, according to the win or loss result of the game determined by the card issuing device 3, the control device 14 analyzes the image of the progress state of the game by means of the image analysis device 12, to determine whether the recovery (shown by the arrow L) of the lost game coins placed by each player 6 and the payment (9W) of the won game coins to the winning player 6W are correctly carried out according to the win or loss result of the game.

[0100] The control device 14 uses the image analysis device 12 to analyze and grasp the total amount of game coins 9 in the dealer 5's game coin tray 17 at the gaming table 4. After the game ends and is settled, the control device 14 can compare and calculate whether the total amount of game coins 9 in the game coin tray 17 corresponds to the amount of game coins 9 lost by each player 6 and the amount of 9W paid to the winning player 6W for the game coins won, and thus increase or decrease the total amount of game coins 9. Although the total amount of game coins 9 in the game coin tray 17 is always grasped through means such as RFID, the control device 14 determines whether the increase or decrease is correct by analyzing the image of the game progress using the image analysis device 12. This also effectively utilizes artificial intelligence or deep learning architecture.

[0101] In this example, cheating or errors are detected based on the information of the winning or losing results of the game, how many game coins 9 of which type are placed and at which position (P, B, or PAIR) in the placement area 8, and the increase or decrease in the amount of game coins 9 in the game coin tray 17 after the recovery of lost game coins and the repayment of won game coins 9. Therefore, even if the changes in game coins 9 after the game are not grasped, that is, the placed game coins 9 are moved to the player side or to the dealer side, cheating or errors can be detected.

[0102] For example, in the case of a card game, the game's winning or losing outcome can be determined according to the rules of the card game by reading the face value of the cards C released successively by the card issuing device 3. Furthermore, the winning or losing outcome can also be determined by using the camera 2 to capture the gaming table 4, analyzing the image using the image analysis device 12, and comparing the analysis results with the game rules by the control device 14. In this case, the camera 2, the image analysis device 12, and the control device 14 constitute the winning or losing outcome determination device. Information about which type of game tokens 9 the player at each playing position 7 placed, how many, and at which position (P, B, or PAIR) in the placement area 8 can be obtained by capturing the game tokens 9 placed in the placement area 8 with the camera 2 and analyzing the image for each playing position 7 with the image analysis device 12.

[0103] Furthermore, the increase or decrease in the amount of game coins 9 in the coin tray 17 before and after the recovery of lost game coins 9 and the repayment of won game coins 9 can be calculated by comparing the total amount of game coins 9 in the coin tray 17 before the recovery of lost game coins 9 and the repayment of won game coins 9 with the total amount of game coins 9 in the coin tray 17 after the recovery of lost game coins 9 and the repayment of won game coins 9. The total amount of game coins 9 in the coin tray 17 before and after the recovery of lost game coins 9 and the repayment of won game coins 9 can be detected by respectively capturing the coin tray 17 containing the game coins 9 with the camera 2 and analyzing the images with the image analysis device 12. Alternatively, the total amount of game coins 9 stored in the coin tray 17 can be detected by embedding an RFID indicating the amount of the game coins 9 in the coin tray 17 and providing an RFID reader on the coin tray 17.

[0104] For example, let the total amount of game coins 9 in the game coin tray 17 before the game starts be Bb, and the total amount of game coins 9 in the game coin tray 17 after the game ends and the recovery of lost game coins and the repayment of won game coins are completed be Ba. In addition, in this game, the total amount of all playing positions 7 of the game coins 9 placed in the P area is bp, the total amount of all playing positions 7 of the game coins 9 placed in the B area is bb, and the total amount of all playing positions 7 of the game coins 9 placed in the draw area is bt. For example, if the win or loss result of this game is B wins, Ba-Bb=bp-bb+bt should be true. Alternatively, the total amount Ba of the game coins 9 in the game coin tray 17 after the game ends should be (Bb+bp-bb+bt). If this is not the case, it can be determined that there is cheating or error in the recovery or repayment of game coins.

[0105] Figure 3A 1 is a diagram showing details of the coin tray of this embodiment. Figure 3B1 is a diagram illustrating another example of a game coin tray. A game coin tray 17 is provided with a recovery game coin tray 171 and a repayment game coin tray 172. The recovery game coin tray 171 reclaims the game coins 9L placed by the losing player 6L and temporarily stores them, while the repayment game coin tray 172 stores the game coins 9W to be repaid. The image analysis device 12 and the control device 14 grasp the position, type, and number of the game coins 9L placed by the losing player 6L, and calculate the incremental amount of the game coins 0L in the game (the amount of the game coins 9 in the recovery game coin tray 171). Furthermore, the image analysis device 12 and the control device 14 grasp the actual total amount of the game coins 9 in the recovered game coin tray 171, and compare the corresponding total amount with the actual total amount to determine whether there is a difference.

[0106] In addition, by using the game coins 9 in the repayment game coin tray 172 to repay the winning player's 6W game coins 9W, sufficient time can be ensured for the image analysis device 12 and the control device 14 to grasp the actual total amount of game coins 9 in the recovery game coin tray 171 after recovery.

[0107] The gaming table 4 is provided with a discard area 41 and / or a discard slot 42 for discarding cards C used in the game. At the end of each game, the cards C used in the game are collected and placed in the discard area 41 or the discard slot 42 on the gaming table 4 for discarding.

[0108] The gaming table 4 is further provided with a symbol 43 indicating winning or losing of the game. Figure 5A This is a top view showing the front of the logo. Figure 5B This is a top view of the back of the marker. In a certain card game, two markers are used: a marker 43a indicating a win for player P and a marker 43b indicating a win for player B. When the game results are announced, the dealer 5 flips over the marker representing the winner, either player P or player B. This makes it easy to clearly display the outcome of the game on the table. After the game tokens 9 are collected and redeemed, the flipped marker is restored by the dealer 5. This restoration of the marker also means that the next game is ready to begin.

[0109] As described above, in this embodiment, the control device 14 calculates the income and expenditure of gaming coins for each game based on the amount of gaming coins placed on the gaming table 4 and the winning or losing results of the game, and verifies the increase in the balance of gaming coins in the gaming coin tray 17 after the game. If the control device 14 detects a discrepancy during this verification, it issues an alarm or adds a record indicating this to the video footage captured by the camera 2. The casino operator can investigate the cause of the discrepancy by checking the video footage.

[0110] In the cheating detection system of this embodiment, the total amount of game coins 9 in the game coin tray 17 before each game is cleared is added or subtracted from the increase or decrease in the game coins in the game calculated based on the position, type and number of the game coins 9 placed by all players 6 in the game and the win or loss result of the game obtained by the win or loss result determination device. The total amount of game coins 9 that should be in the game coin tray 17 after clearing at the end of the game is compared with the actual total amount of game coins 9 in the game coin tray 17 at the end of the game obtained by the image analysis device 12 to determine whether there is a difference between the total amount that should be and the actual total amount.

[0111] The control device 14 uses the image analysis device 12 to grasp the position, type and number of game coins placed by each player. When the recovery of all the lost game coins placed by each player is completed, the actual total amount of game coins in the game coin tray is grasped. The total amount of game coins in the game coin tray before the settlement of each game is compared with the expected total amount of game coins 9 in the game coin tray 17 obtained by adding the increase of the game coin tray 17 in the game according to the position, type and number of the game coins placed by the losing players to the actual total amount of game coins 9 in the game coin tray 17 to determine whether there is a difference between the expected total amount and the actual total amount.

[0112] The control device 14 compares the total amount of game coins 9 in the game coin tray 17 before the settlement of each game with the expected total amount of game coins 9 in the game coin tray 17 obtained by adding the position, type and number of game coins 9 placed by the losing player to the increase in the game coin tray 17 in the game, and determines that there is no difference between the expected total amount and the actual total amount. The control device 14 compares the expected total amount in the game coin tray 17 after actuation at the end of the game with the actual total amount of game coins 9 in the game coin tray 17 at the end of the game obtained by the image analysis device 12. If it is determined that there is a difference between the expected total amount and the actual total amount, it is determined as a payment error and a payment error signal is generated to notify the payment error.

[0113] In the game coin tray 17, there is provided a recovery game coin tray 171 for recovering and temporarily storing the game coins 9 placed by the losing player. The image analysis device 12 compares the expected total amount of game coins 9 in the recovery game coin tray 171 obtained by adding the increase in the game coins 9 in the game calculated based on the position, type and number of the game coins 9L placed by the losing player, and the actual total amount of game coins 9 in the recovery game coin tray 171 to determine whether there is a difference between the expected total amount and the actual total amount.

[0114] In order to analyze the records of the game that produces the above-mentioned difference in the game recording device 11 when the control device 14 determines that the actual total amount of game coins 9 held in the game coin tray 17 of the dealer 5 of the gaming table 4 does not correspond to the increase or decrease in the game coins calculated based on the amount of game coins placed by all players and the winning or losing results of the game, the game recording device 11 is constructed to assign an index or time to the obtained image, or to be able to determine and regenerate the recovery scene or payment scene of the game coins 9.

[0115] In this way, the control device 14 obtains the total amount of game coins in the game coin tray 17 after settlement at the end of the game by means of the image analysis device 12. However, the so-called determination after settlement in this case is the time when any of the following situations 1) to 4) occurs:

[0116] 1) When the repayment of the winning game coins 9 is completed;

[0117] 2) When the card C used in the game is recovered and discarded in the discard area 41 or discard slot 42 of the table;

[0118] 3) When a prescribed button attached to the winning / losing result determination device is pressed;

[0119] 4) When the symbol 43 indicating winning or losing is restored.

[0120] Furthermore, the control device 14 utilizes artificial intelligence or a deep learning structure as follows: it is capable of grasping the position (pair, B, or PAIR position) and amount (type and number) of the game coins placed at each playing position 7 of the gaming table 4, comparing the win / loss history of each player 6 and the amount of game coins (win amount) obtained from the win / loss results of each game with statistical data from many past games (big data), and extracting abnormal conditions (set by the casino). Typically, the control device 14 utilizes artificial intelligence or a deep learning structure as follows: if a win amount exceeding a certain amount (1 million points) or a situation in which the number of game coins placed at a playing position 7 of a gaming table 4 is small during losses and large during wins is repeated over multiple games, and is compared with statistical data from past games (big data, etc.), it can be extracted as an abnormal condition.

[0121] Furthermore, the control device 14 (integrated with the image analysis device 12) of this cheating detection system is configured to identify individual players 6 at playing positions 7 who have been identified as abnormal or who have achieved a winning amount exceeding a specified limit. To identify these players 6, the image analysis device 12 extracts facial images through feature point extraction and assigns an identification number (ID, etc.) to the identified players 6. Furthermore, the control device 14 includes a warning function that notifies the administrator or person in charge (or dealer) of each gaming table 4 of the presence of the identified player 6 when the identified player 6 leaves their seat and relocates to another gaming table. Specifically, the control device 14 notifies the administrator or person in charge (or dealer) of each gaming table 4 to prevent further abnormalities.

[0122] The control device 14 also has a database that records the purchase history of game coins 9 purchased with banknotes K. It refers to the database at a certain time or per day to compare and determine whether the amount of game coins 9 held in the game coin tray 17 of the dealer 5 of the gaming table 4 has been reduced based on the payment amount of the game coins 9 corresponding to the banknotes K used for purchase, or the total amount of the payment amount of the banknotes K corresponding to the purchased game coins 9.

[0123] Furthermore, in the above example, the win / loss history and the amount of game coins (wins) received at each playing position 7 can be monitored without identifying individual players 6. In this case, while it is impossible to track and investigate each player 6 if they leave their seat, it is possible to detect abnormal situations such as a situation where a specific playing position 7 at a gaming table 4 consistently displays a low amount of game coins deposited during losses and a high amount of game coins deposited during wins across multiple games. Furthermore, if such a playing position 7 is detected, cheating or errors at that playing position 7 may be suspected. Furthermore, by verifying a video recording of that playing position 7, cheating or errors can be discovered.

[0124] Specifically, the camera 2 is configured to capture at least the gaming coins 9 placed within the placement area 8 of the gaming table 4. The image analysis device 12 analyzes the images captured by the camera 2 and, for each player position 7, detects the position (P, B, or Draw) within the placement area 8 where the gaming coin is placed, as well as the amount of the placed gaming coins. Furthermore, the card distribution device 3 functions as a win / loss determination device, determining the outcome of the game. The control device 14 records (monitors) the win / loss history and the amount of gaming coins (gaming coin earnings) for each player position 7 based on the position (P, B, or Draw) within the placement area 8 where the gaming coin 9 is placed and the outcome of the game. Alternatively, only one of the win / loss history and the gaming coin earnings may be recorded. If the win / loss history and / or gaming coin earnings history are compared with statistical data from a large number of past (big data) games and show an abnormality (as determined by the casino), the control device 14 identifies that player position 7 as a gaming position suspected of cheating.

[0125] If cheating is suspected at a player position 7, the cheating detection system generates an alarm (light, sound, or vibration) in a manner that is at least perceptible to the dealer at that point in time. This prevents the cheating from continuing by, for example, interrupting the game at that location. Furthermore, information indicating the suspected cheating can be added to the video footage captured and recorded by camera 2. This allows the cause of the suspected cheating to be investigated by verifying the video.

[0126] The cheating detection system in the amusement park with a gaming table of this embodiment also has the function of checking when repeatedly purchasing game coins with paper money on the gaming table 4. In amusement parks such as casinos, before the game, the player 6 purchases game coins with paper money (cash, etc.) at a designated game coin purchasing location. However, when the player 6 runs out of game coins, he or she can continue the game by purchasing game coins 9 with cash (paper money) on the gaming table without leaving the gaming table 4. However, this creates an opportunity for cheating between the dealer 5 and the player. Purchasing game coins 9 with cash (paper money) on the gaming table needs to be done when the game is not in progress. In order to determine the win or loss of the game, the card issuing device 3 can detect the start and end of card dealing (the period for determining the win or loss). Therefore, in the card issuing device 3, conditions other than the issuing (dealing) of cards are detected, and the control device 14 detects the situation that the game coins 9 are being purchased with paper money on the gaming table 4 ( Figure 6 ). During the card distribution (or other situations), it is possible to detect based on information obtained from the card distribution device 3 or the action of the dealer 5.

[0127] The control device 14 performs image analysis on the surface of the banknote K and can identify the number and amount of the banknotes. Furthermore, on the gaming table 4, whether the banknote K used to purchase the game tokens 9 is genuine is verified by irradiating the banknote with near-ultraviolet light to detect the authenticity mark G. Figure 6 As shown, the control device 14 is an artificial intelligence effective utilization type or deep learning structure as follows: the authenticity mark G is also verified by image analysis, and the total amount of the real banknotes is recognized. Therefore, even if multiple game coins taken out from the game table as purchase objects are hidden due to the blind spot of the camera 2, the total amount of the game coins can be recognized, and the total amount of the banknotes K taken out from the player on the game table 4 and the total amount of the game coins 9 taken out from the dealer 5 can be compared to determine whether the two amounts are consistent.

[0128] The control device 14 utilizes artificial intelligence (AI) or a deep learning architecture that can compare and calculate the total amount of game coins 9 in the dealer's coin tray 17 at the gaming table 4. After a purchase of game coins with paper money and settlement, the control device 14 determines whether a deduction has been made based on the payment amount of the game coins corresponding to the purchase paper money. Alternatively, the control device 14 can utilize RFID tags on the game coins 9 to maintain a pre-determined understanding of the total amount of game coins 9 in the dealer's coin tray 17. Alternatively, the control device 14 can detect the total amount of game coins 9 in the coin tray 17 by capturing the coin tray 17 with the camera 2 and analyzing the image with the image analysis device 12.

[0129] Furthermore, the control device 14 verifies whether the amount of game coins 9 in the game coin tray 17 decreased before and after the game coins were purchased with paper money, and whether the amount of game coins paid out based on the image analysis results on the gaming table 4 is consistent. The amount of the paid out banknotes can be input into the control device 14 by the dealer 5 via keyboard input, or can be determined by using the camera 2 to capture the gaming table 4 where the banknotes are paid out and analyzing the image with the image analysis device 12.

[0130] As described above, the control device 14 determines whether the deduction of the game coins 9 from the game coin tray 17 caused by the purchase of game coins with paper money is consistent with the amount of paper money paid by the player 6 to the dealer 5. Furthermore, the control device 14 is an intelligent control device that can compare and calculate the amount of money deposited based on the dealer 5's paper money after the purchase of game coins with paper money and settlement (usually based on keyboard input, etc.) with the calculated amount of paper money based on the image analysis results of the image analysis device 12 to see whether they are consistent or inconsistent. Furthermore, it can also be a type that effectively utilizes artificial intelligence or a deep learning structure.

[0131] In addition, the control device 14 is an artificial intelligence effective utilization type or deep learning structure that can compare and calculate the consistency or inconsistency between the total amount of banknotes input by the dealer in the gaming table 4 for which the dealer is responsible and the total amount of banknotes based on the image analysis results of the image analysis device 12.

[0132] The control device 14 compares and determines whether the amount of game coins 9 held in the game coin tray 17 of the dealer 5 of the gaming table 4 has been reduced based on the payment amount of the game coins 9 corresponding to the paper money used for purchase, or the payment amount of the paper money corresponding to the purchased game coins 9, after the game coins 9 are purchased with paper money.

[0133] (Second embodiment)

[0134] Among the many table games played in casinos and other amusement parks, some are card games. These games use a standard deck of 52 playing cards. Cards are dealt onto the gaming table from a card distribution device equipped with pre-shuffled decks (ranging from 6 to 9 or 10 cards). Winning or losing is determined by the number of cards dealt (card rank) and the rules of the game.

[0135] Dealing cards from a card issuing device and calculating the bet amount of a guest (game player) are performed by a dealer in charge of a gaming table. In gaming facilities such as casinos, attempts are being made to prevent errors and cheating in calculating the bet amount of the guest (game player).

[0136] In the card game monitoring system described in International Publication WO2015 / 107902, a monitoring camera is used to read the movement of game coins and check whether the bet amount has been paid to the winner.

[0137] Regarding the precise calculation of the placement of guests and the amount of placement by the dealer to the guests (game participants) in a certain card game, there is the following problem: it is impossible to detect the time when these are performed, who placed the game coins, or whether they have been taken away, so it is impossible to determine whether these are correct.

[0138] To solve the above-mentioned problems, a cheating detection system according to a second embodiment is a cheating detection system for a casino having gaming tables, and includes:

[0139] A game monitoring device that uses a camera to monitor the progress of the game being played at the gaming table;

[0140] an image analysis device for performing image analysis on the image obtained by the camera;

[0141] a card issuing device that determines and displays the winning and losing results of each game on the gaming table; and

[0142] a control device for determining the positions of game coins placed on the gaming table by game participants using the analysis results of the image analysis device in each game, and for determining winners and losers among the participants in each game using the win / loss results;

[0143] The control device also has the function of determining at least one of the following:

[0144] 1) In each game, whether there is no change in the game coins from the time the cards are drawn or the dealer starts the game until the card distribution device displays the winning or losing result of the game,

[0145] 2) After each game is over, while the dealer is collecting the game coins placed by the losers among the game participants, is there any change in the game coins caused by anyone other than the dealer?

[0146] 3) After each game is over, during the period when the dealer collects the game coins placed by the losers among the game participants, whether additional game coins are added,

[0147] 4) After each game is over, whether the dealer pays the position of the game coin placed by the winner among the game participants,

[0148] 5) After each game is over, whether the winner among the game participants takes the game coins placed and the game coins paid.

[0149] Furthermore, the control device can also be configured to detect changes in the hands of the dealer and game participants, changes in game coins, or changes in the hands and changes in game coins by using the analysis results of the image analysis device, thereby making a judgment on at least one of 1) to 5).

[0150] Furthermore, the control device may be configured to determine whether the amount of gaming coins paid by the dealer to the winner is correct based on the amount placed by the winner among the game participants.

[0151] Furthermore, the game cheating detection system may further include a monitor or a light that receives the determination result and issues a warning or displays.

[0152] According to the cheating detection system of this embodiment, the placement made by the guests in a certain card game and the amount placed by the dealer for the guests (game participants) can be accurately calculated. The time when these are performed, who placed the game coins, or whether they have been taken away can be detected. These errors and cheating behaviors can be detected and warnings or displays can be issued, so as to prevent them from happening again.

[0153] Before the detailed description of this embodiment, the flow of a card game played in a casino or other amusement park will be described. In the second embodiment, the same components as those in the first embodiment are denoted by the same reference numerals.

[0154] like Figure 7 As shown, on the game table 4, a guest (game participant / player) 6 and a dealer 5 sit face to face on a playing position (chair) 7. The guest (game participant) 6 places a game coin 9 on a placing area 8 in front of him and places a bet (hereinafter referred to as "bet") on the outcome of a card game, whether the player or banker wins, or whether the game ends in a tie. In addition, the dealer 5 times the bet by the guest (game participant) 6, shouts "No More Bet (bet acceptance ends)", and performs actions such as moving his hand horizontally ( Figure 7 In a certain card game, from the moment "No More Bet (placement acceptance completed)" is called and the card drawing starts or the dealer 5 performs the game start operation, until the game winning or losing result is displayed on the card issuing device 3, the guest (game participant) 6 cannot move game coins, place additional game coins, or retrieve placed game coins.

[0155] Afterwards, the game cards 1 are drawn one by one from the card issuing device 3 onto the gaming table 4 with the back side facing up. First, 4 cards are drawn, such as Figure 8 As shown in ① to ④, the first card belongs to P (PLAYER), the second card belongs to B (BANKER), the third card belongs to P (PLAYER), and the fourth card belongs to B (BANKER). These cards are arranged in an area 10 (P area 10P and B area 10B) in front of the dealer 5 on the gaming table 4. Furthermore, based on the card rank (number) of the first through fourth cards 1 and the conditions specified in the detailed rules of a particular card game, the dealer 5 draws the fifth and sixth cards 1, which then belong to P (PLAYER) or B (BANKER). The game is then determined based on the card rank (number) of the first through fourth cards 1 (and the fifth and sixth cards, if appropriate) and the detailed rules of the particular card game. Here, the card issuing device 3 is configured so that the game rules are pre-programmed and the information (card rank (number) and suit) of the issued cards 1 can be read to determine the winner of the game. A determination is then made as to whether the win / loss determination result (win / loss result) determined by the card issuing device 3 is consistent with the win / loss result determined by the dealer, etc., as described above.

[0156] Hereinafter, an overall outline of a cheating detection system for a casino game according to an embodiment of the present invention will be described. Figure 7 This diagram shows an overview of the system as a whole. The cheating detection system for games in casinos includes: a game recording device 11, which records the progress of a game played at a gaming table 4, including the progress of guests (game participants) 6 and the dealer 5, as an image using a camera 2; an image analysis device 12, which analyzes the recorded video of the progress of the game; and a card dealing device 3, which determines and displays the winning and losing results of each game played at the gaming table 4. The card dealing device 3 is a so-called electronic boot, commonly used by those skilled in the art. It is pre-programmed with the game rules and can detect the moment when the dealer 5 deals a card 1 at the beginning of each game. It also reads the information (the rank (number) and suit) of each dealt card 1 to determine the winning or losing result of the game. For example, in a certain card game, the outcome of a B-card win, a P-card win, or a draw (a tie) is essentially determined by the rank of two or three cards, respectively. The result (win or lose) is displayed by a display lamp 13.

[0157] The control device 14 of this cheating detection system has a coin detection function. This coin detection function uses the analysis results of the image analysis device 12 during each game to determine in which placement area 8 on the P or B side of the gaming table 4 the guest 6 (game participant) has placed a coin 9. Regarding the position and total amount of coin 9 (in which placement area 8 on the P or B side the coin 9 is placed), it is conceivable that the coin 9 may be misaligned or overlapped, or fall into a blind spot from the position of the camera 2, and thus cannot be read. The control device 14 is configured to utilize a computer or control system effectively utilizing existing artificial intelligence, or a self-learning function based on deep learning (structural) technology, to identify hidden coins 9 due to blind spots (such as partial or complete hiding of a coin) and accurately determine their position and number. Furthermore, the configuration for detecting the position and type of coin 9 within the placement area 8 is not limited to this; for example, detection may also be performed by reading an ID embedded in the coin.

[0158] As described above, the control device 14 can, using the camera 2 and image analysis device 12, determine the position (position of the coin 9 placed for P, B, or PAIR), type (coin 9 values are assigned to different colors), and number of coins placed by each player 6. This allows the control device 14 to detect which player 6 placed the coin for P (if multiple players 6 placed the coin for P, which player 6 placed the highest coin) and which player 6 placed the coin for B (if multiple players 6 placed the coin for B, which player 6 placed the highest coin). The image analysis device 12 and control device 14 in this cheating detection system are constructed as a single unit or composite computer, program, and memory comprising multiple components.

[0159] The control device 14 is configured to compare the card size and suit information obtained by the image analysis device 12 from the images of each card 1 dealt at the gaming table 4 (using the camera 2) with the card size and suit information read by the card distribution device 3 to determine whether they match or not. Based on the win / loss results of each game determined by the card distribution device 3, the control device 14 analyzes the images of the game progress using the image analysis device 12 to determine whether lost game coins 9 placed by the guests (game participants) 6 and winning game coins have been correctly paid to the winning guests (game participants) 6.

[0160] The control device 14 has the following functions 1) to 5) according to the rules of a certain card game, and as a characteristic function of the present invention, it determines whether cheating that violates the rules is not performed.

[0161] 1) In each game, the image analysis device 12 uses the information obtained by the camera 2 to monitor (such as Figure 8 (As shown) whether there is no change in the game coins 9 during the period from the signal for drawing the start card obtained from the card issuing device 3, or the game start operation performed by the dealer 5 by pressing the start button 4s, to the time when the card issuing device 3 displays the winning or losing result of the game.

[0162] 2) After each game is over, the information obtained by the image analysis device 12 using the camera 2 is used to monitor the period during which the dealer 5 recovers the game coins 9 placed by the loser among the game participants 6 (such as Figure 9 As shown), whether the loser 6 took the game coin 9 without cheating.

[0163] 3) After each game is over, the information obtained by the image analysis device 12 using the camera 2 is used to monitor whether people other than the dealer 5 (winner or loser) have added the won game coins 9W or replaced the game coins 9 on the winning side during the period when the dealer 5 recovers the game coins 9 placed by the losers among the game participants, or whether they have not replaced the game coins 9 on the winning side.

[0164] 4) After each game is over, the dealer 5 uses the information obtained by the image analysis device 12 using the camera 2 to monitor whether the position of the game coin 9 placed by the winner among the game participants 6 is correctly placed. Figure 10 shown).

[0165] 5) After each game is over (the dealer 5 operates the card issuing device 3 and displays the winning and losing results on the display light 13), the image analysis device 12 uses the information obtained by the camera 2 to monitor whether the winner 6W among the game participants 6 has taken the placed game coins 9 and the paid game coins 9W (such as Figure 11 shown).

[0166] The control device 14 analyzes the information obtained by the image analysis device 12 using the camera 2 as follows. Specifically, the control device 14 uses the analysis results of the image analysis device 12 to detect hand movements of the dealer 5 and game participants 6, changes in the game tokens, or both, to perform monitoring 1) through 5). However, this fundamental analysis requires at least knowing who has taken the game token 9. This analysis method is described below using Figures 12 through 14.

[0167] The dealer 5 analyzes the situation of the coin 9 placed by the game participant 6L ( FIG. 12 ).

[0168] The dealer 5 recovers the game coin 9 placed by the losing game participant 6L. The information obtained by the image analysis device 12 using the camera 2 is analyzed to monitor whether it is recovered. First, the game coin 9 is detected from the existing state ( Figure 12A ) to a non-existent state ( Figure 12C Then, the image of the period from the state of existence to the state of non-existence of the game coin 9 ( Figure 12B ) is analyzed. The image of the period from the state of existence to the state of non-existence of the game coin 9 ( Figure 12B ) in which direction the hand 5h is extended from (from above in FIG. 12 or outside of it) is analyzed. In the case where the hand is extended from above (or the hand appears from above and then withdraws upward), the hand 5h is determined to be that of the dealer 5. When the hand is extended from a direction other than this, it is determined to be cheating. Cheating is detected based on such rules.

[0169] During the period when the dealer 5 recovers the game coin 9 placed by the game participant 6L who lost in the game, whether other people have taken the lost game coin 9 without cheating is monitored (Figures 12 and 11). For the image during the period when the game coin 9 changes from the existing state to the non-existing state, as shown in FIG. Figure 13 As shown, the analysis of the situation where the loser 6L among the game participants 6 takes the game is performed by detecting the hand 6h from the image analysis. Figure 13 5 extends from the bottom (originally from the top) or moves, and this is judged as a hand 6h other than the dealer 5 taking the game coin 9, and this is judged as cheating.

[0170] The dealer 5 correctly pays (places) the game coin 9W for the game coin 9 won, and the winner 6W among the game participants 6 takes it. Figure 14A The winning game coins shown are as follows Figure 14B As shown, according to the rules of the game, the game coins 9W are repaid. Figure 14A The state of the diagram shown to Figure 14B The state change shown in FIG. 5 is detected by image analysis at the same time to see whether the hand is the dealer's hand 5h. Afterwards, the control device 4 checks whether the hand is the dealer's hand 5h according to the image analysis result according to the rules of the game. Figure 14C As shown, the hand 6h of the winner 6W among the game participants 6 extends (moves) to the same placement area, and then all the game coins 9 disappear ( Figure 14D status), thereby determining whether there is no cheating.

[0171] Furthermore, the control device 4 is configured to determine whether the amount of game coins paid by the dealer 5 to the winner is correct based on the amount placed by the winner 6W among the game participants 6. A specific example is shown below. Regarding the position and total amount of game coins 9 (which placement area 8 on the P side or B side has the game coins 9 placed), it can be imagined that when the game coins 9 are staggered and overlapped, or fall into a blind spot when viewed from the position of the camera 2, etc., they cannot usually be read. The control device 14 is configured to use a computer or control system based on an existing artificial intelligence effective utilization type, a self-learning function of deep learning (structure) technology, etc., to identify the concealment of game coins 9 due to blind spots (the situation where part of a game coin is concealed, or the situation where the game coin is concealed as a whole), and accurately grasp the position and number of pieces, etc. Furthermore, the structure for detecting the position 8 and type of the game coins 9 in the placement area 8 is not limited to this. For example, it can also be configured to detect by reading an ID embedded in the game coin.

[0172] As described above, the control device 14 can grasp the position 8 (the position for P, B, or PAIR), type (the game coins 9 are assigned different amounts of value for each color) and number of game coins 9 placed by each player 6 through the camera 2 and the image analysis device 12, and can detect which guest 6 placed the coin on P (if there are multiple guests 6 placing the coin on P, which guest 6 placed the highest amount), and which guest 6 placed the coin on B (if there are multiple guests 6 placing the coin on B, which guest 6 placed the highest amount).

[0173] Furthermore, the control device 14 of this cheating detection system analyzes the information obtained by the image analysis device 12 using the camera 2 according to the rules of a particular card game using the aforementioned method, and performs monitoring. The monitoring described in 1) through 5) above is performed to determine whether cheating that violates the rules has occurred. When cheating is detected, the card distribution detection device 14C illuminates an abnormality indicator 16 provided on either the card distribution device 3 or the gaming table 4, and outputs the detection of cheating to the casino management, etc., via wireless or wired communication 15. Monitors or lights may also be provided at other locations to receive the determination result and issue a warning or display.

[0174] As described above, cheating behavior is detected by the control device 14, and a display signal is sent to the display light 13 or the abnormality display light 16 of the card issuing device 3 at the time of detection or at an appropriate moment. However, in addition to issuing a warning, the card issuing device 3 may also activate a card issuance prevention function after the time of detecting cheating or an error, thereby preventing the issuance of the card 1.

[0175] Below, use Figures 15 to 19 An embodiment of the card issuing device 3 used in the table game system of the present invention is described. The card issuing device 3 includes: a card storage unit 102 that stores a plurality of shuffled game cards 1s; a card guide unit 105 that guides the shuffled game cards 1 when the dealer 5 or the like manually draws the shuffled game cards 1 one by one from the card storage unit 102 to the gaming table 4; an opening 106 for removing the cards 1 guided by the card guide unit 105; a card detection unit (card detection sensors 22 and 23) that detects the withdrawal of the shuffled game cards 1 when the shuffled game cards 1 are withdrawn; a card reading unit 108 that reads information indicating the minimum number (card size) of the shuffled game cards 1; and a control unit 109 that controls the card issuing unit 106 according to the card detection unit 106. The card reading unit 108 reads the number (card size) of the shuffled game cards 1 in sequence to determine the win or loss of the card game; the result display light 13 displays the win or loss result determined by the control unit 109; the issuance restriction device 30 is set at the opening 106 to restrict the entry and exit of the cards 1 into the card storage unit 102; and the management control unit 114 has the same function as the control device 14. These are integrated and have the following functions: when the control device 14 detects an error or cheating behavior of the dealer in the game, it prevents further cards from being drawn from the card issuance device 3 after the time point when the error or cheating behavior is detected or at a specified time.

[0176] Next, use Figure 17 、 16The issuance restriction device 30 that restricts the entry and exit of cards 1 into the card storage unit 102 will now be described. The issuance restriction device 30 is provided on the card guide 107 of the card guide unit 105. This card guide unit 105 guides the cards 1, which are removed one by one from the opening 106 in the front of the card storage unit 102, onto the gaming table 4. The issuance restriction device 30 has a structure in which, when a card 1 passes through a slit 33 between the card guide unit 105 and the guide cover of the card guide 107, a locking member 34 presses against the card 1, preventing the entry or exit of the card 1 within the slit 33. The locking member 34, driven by a drive unit 35 such as an electromagnetic solenoid or a piezoelectric element, can move as indicated by arrow m, allowing it to assume two states: a position that presses against the card 1 (a restriction position) and a passable position that allows the card 1 to pass through. The drive unit 35 is controlled by the control unit 109, which is directly or indirectly connected to the control device 14 via wired or wireless communication, to move the locking member 34 between a position that presses against the card 1 and a passable position that allows the card 1 to pass. The rules of a particular card game are pre-programmed and stored in the control unit 109.

[0177] Next, use Figure 18B A variation of the issuance restriction device 30 will be described. The issuance restriction device 40 in this variation has the following structure: when a card 1 passes through the slit 33 between the card guide 105 and the card guide 107 (guide cover), a locking member 36 protrudes into the slit 33 to prevent the movement of the card 1. The locking member 36 is driven by a drive unit 37, such as an electromagnetic solenoid or a piezoelectric element, to move as indicated by arrow m, allowing it to assume two positions: a position that prevents the movement of the card 1 (a restriction position) and a position that allows the card 1 to pass. The drive unit 37 is controlled by a control unit 109 connected to the control device 14, causing the locking member 36 to move between the position that prevents the movement of the card 1 and the position that allows the card 1 to pass.

[0178] Next, the details of the code reading unit 108 that reads the code 52 indicating the number (number, rank) of the card 1 from the card 1 when the card 1 is manually drawn out from the card storage unit 102 will be described. Figure 17This is a top view of the main components of the card dispensing device 3. In the figure, the code reader 108 is mounted on the card guide 105. This guide guide guides the cards 1 manually removed from the opening 106 in front of the card storage unit 102, one by one, onto the gaming table 4. The card guide 105 is an inclined surface, with card guides 107, which also serve as sensor covers, attached to both edges. Furthermore, each of the two card guides 107 can be attached and detached using screws (not shown). Removing the card guides 107 exposes the sensor assembly 115 of the code reader 108. The sensor assembly 115 consists of four sensors: two ultraviolet sensors (UV sensors) 20 and 21, and object detection sensors 22 and 23.

[0179] Object detection sensors 22 and 23 are fiber-optic sensors that detect the presence of cards 1 and can detect the movement of cards 1. Object detection sensor 22 is located upstream of the card guide 105 in the direction of card 1 movement, while object detection sensor 23 is located downstream. As shown in the figure, the two object detection sensors 22 and 23 are located upstream and downstream, sandwiching UV sensors 20 and 21. UV sensors 20 and 21 include ultraviolet LEDs (UV LEDs) that emit ultraviolet light and detectors. Markings M representing codes 52 are printed on cards 1 using ultraviolet luminescent ink that emits a color when exposed to ultraviolet light. Ultraviolet light (near-ultraviolet light) illuminates card 1, and the detectors detect the reflected light from markings M representing codes 52 on card 1. UV sensors 20 and 21 are connected to the code reader 108 and control unit 109 via cables. The code reader 108 determines the combination of markings M based on the output signals from the detectors of UV sensors 20 and 21, and determines the number (card size) corresponding to each code 52.

[0180] The code reading unit 108 starts and stops reading by the UV sensors 20 and 21 according to the detection signals of the object detection sensors 22 and 23. The control unit 109 also determines whether the card 1 has passed through the card guide unit 105 normally according to the detection signals of the object detection sensors 22 and 23. Figure 19 As shown, square marks M representing the card rank (number) and suit (e.g., hearts or spades) are arranged in two columns and four rows along the edge of card 1. When UV sensors 20 and 21 detect a mark M, they output an ON signal. The code reader 108 determines the relative relationship between the two signals input from the two UV sensors 20 and 21. Thus, the code reader 108 determines a code based on the relative difference between the two marks M detected by the two UV sensors 20 and 21, thereby identifying the number (rank) and type (suit) of the corresponding card 1.

[0181] exist Figure 19The relationship between code 52 and the output of the ON signals from the two UV sensors 20 and 21 is shown in FIG. A predetermined combination of marks M can be determined based on the comparison of the relative changes in the output of the ON signals from the UV sensors 20 and 21. Consequently, if there are four combinations of marks M in two upper and lower columns, and these are printed in four columns, then 256 codes can be formed, representing four squared combinations. Each of the 52 types of playing cards is assigned to one of the 256 codes, and this is stored as a lookup table in a memory or program. The code reader 108 is configured to determine the number (card size) and type (suit) of cards 1 based on a pre-set lookup table (not shown) by determining each code 52. Furthermore, the 256 codes can be associated with the 52 types of cards in a freely combinable manner and stored in the lookup table. This allows for complex combinations and allows the combination of the 256 codes and 52 types of cards to vary depending on time and location. The code is preferably printed with a paint that is visible by receiving ultraviolet light, and is printed at a position that does not overlap with the card type indication and index 103.

[0182] Furthermore, in the above-described embodiment, the image analysis device 12 and the control device 14 are devices that utilize artificial intelligence or deep learning architectures. However, specifically, the image analysis device 12 and the control device 14 may perform image analysis and the various controls described above using the Scale-Invariant Feature Transform (SIFT) algorithm, a convolutional neural network (CNN), deep learning, machine learning, or similar methods. These technologies perform image recognition on captured images to identify objects contained within them. In recent years, deep learning techniques that utilize multi-layered neural networks have been gaining popularity for achieving high-precision object recognition. This deep learning technique generally achieves high-precision object recognition by overlapping multiple layers between the input and output layers of the neural network. Among these deep learning techniques, convolutional neural networks, in particular, have attracted attention due to their superior performance compared to conventional methods for identifying objects based on image features.

[0183] Convolutional neural networks train on labeled target images and identify the primary objects contained in them. When multiple primary objects exist within the training image, they are designated using rectangular regions, and the images corresponding to these regions are labeled for training. Furthermore, convolutional neural networks can also determine the primary objects within an image and their locations.

[0184] Further explaining convolutional neural networks, the object recognition process involves extracting candidate regions based on local features, such as edge extraction, from the target image. These candidate regions are then fed into the convolutional neural network, where they are classified based on the extracted feature vectors. The most reliable candidate regions are then identified as the recognition result. Confidence is a measure of how much the similarity between a particular image region and the subject of the image learned along with the label is higher than other similarity levels.

[0185] In addition, devices with artificial intelligence effective utilization or deep learning structures are described in U.S. Patent No. 9,361,577, U.S. Patent Publication No. 2016-171336, U.S. Patent Publication No. 2015-036920, Japanese Patent Publication No. 2016-110232, etc., and these records are introduced into this specification by reference.

[0186] Various embodiments of the present invention have been described above. However, the above embodiments can of course be modified by those skilled in the art within the scope of the present invention. The device of this embodiment can be appropriately modified according to the needs of the game to which it is applied.

[0187] Explanation of symbols:

[0188] 1 game card

[0189] 1s multiple shuffled game cards

[0190] 2 surveillance cameras

[0191] 3Card distribution device

[0192] 4 game tables

[0193] 5Dealer

[0194] 6 Guests (Game Participants / Players)

[0195] 7 chairs

[0196] 8 Placement Area

[0197] 9 game coins

[0198] 10 regions

[0199] 10P P area

[0200] 10B B area

[0201] 11 Game Recording Device

[0202] 12 Image analysis device

[0203] 13 result display lights

[0204] 14 Control device

[0205] 14C card issuance detection device

[0206] 15 output (abnormal judgment results, etc.)

[0207] 16 abnormal display lights

[0208] 30 Release of restraining devices

[0209] 33 slits

[0210] 34 locking components

[0211] 35 drive unit

[0212] 36 locking components

[0213] 37 drive unit

[0214] 40 Release of restraining devices

[0215] 102 card storage unit

[0216] 103 Index

[0217] 105 Card Guidance Department

[0218] 106 opening

[0219] 107 Card Guide

[0220] 109 Control Department

[0221] 112 side monitor.

Claims

1. A game coin management system for use in a casino having multiple gaming tables, the game coin management system comprising: A game coin tray is provided on one of the game tables for storing game coins, wherein: The game coins placed by the loser are temporarily kept in the game coin recycling area; at least one RFID reader configured to read each RFID embedded in each of the game coins stored in the game coin tray and each of the game coins temporarily stored in the game coin recovery area; A win / loss result determination device, which determines the win / loss result of the game; as well as A control device, wherein the control device is configured to: Using the reading result of the at least one RFID reader, respectively determining (a) the total amount of the game coins stored in the game coin tray and (b) the amount of the game coins in the game coin recovery area; Determining the positions, types, and numbers of game coins placed by each of at least one player; Determining the amount of game coins to be recovered in the game based on (a) the position, type, and number of game coins placed by each of the at least one player and (b) the win or loss result; as well as The determined amount of game coins to be recovered in the game is compared with the actual amount of game coins recovered to the game coin recovery area to determine whether there is a difference between the amount of game coins to be recovered in the game and the actual amount of game coins.

2. The game coin management system according to claim 1, wherein: The game currency management system further has: A game recording device that records an image of a game played on one of the gaming tables; and An image analyzing device analyzes the image recorded by the game recording device.

3. The game coin management system according to claim 2, wherein: The coin recovery area is included in the coin tray as a coin recovery tray.

4. The game coin management system according to claim 1, wherein: The coin recovery area is included in the coin tray as a coin recovery tray.

5. A game coin management system for use in a casino having multiple gaming tables, the game coin management system comprising: A game coin tray is provided on one of the game tables for storing game coins, wherein: The game coins placed by the loser are temporarily kept in the game coin recycling area; at least one RFID reader configured to read each RFID embedded in each of the game coins stored in the game coin tray and each of the game coins temporarily stored in the game coin recovery area; a game recording device that uses a camera to record images of the game coin recycling area; an image analyzing device for analyzing the image of the recovered coin area recorded by the game recording device; as well as A control device, wherein the control device is configured to: Using the reading result of the at least one RFID reader, respectively determining at least one of (a) the total amount and the total number of the game coins stored in the game coin tray and (b) at least one of the amount and the total number of the game coins in the game coin recovery area; as well as determination: Whether there is a difference between the number of game coins in the recovered game coin area obtained by using the reading result of the RFID reader and the number of game coins in the recovered game coin area obtained by the image analysis device, or Whether there is a difference between the amount of game coins in the recovered game coin area obtained using the reading result of the RFID reader and the amount of game coins in the recovered game coin area obtained by the image analysis device.

6. The game money management system according to claim 5, wherein: The coin recovery area is included in the coin tray as a coin recovery tray.

7. A cheating detection system for use in a casino having multiple gaming tables, comprising: A game coin recycling area, which is used to temporarily store the lost and recycled game coins placed by the loser; an RFID reader configured to detect each RFID embedded in each game coin received in the game coin recovery area; as well as A control device configured to determine at least one of the actual amount and the actual number of game coins lost and recovered based on the reading result of the RFID reader, The cheat detection system is one or both of the following: (1) The cheating detection system further includes a win / loss result determination device for determining the win / loss result of the game, and the control device is further configured to: Determining the positions, types, and numbers of game coins placed by each of at least one player; Determining the amount of game coins to be recovered in the game based on (a) the position, type, and number of game coins placed by each of the at least one player and (b) the win or loss result; as well as comparing the determined amount of game coins to be recovered in the game with the actual amount of game coins recovered in the game coin recovery area to determine whether there is a difference between the amount of game coins to be recovered in the game and the actual amount of game coins; and (2) (a) The system further comprises: a game recording device that uses a camera to record images of the game coin recovery area; and an image analysis device that analyzes the image of the recovered game coin area recorded by the game recording device, and (b) the control device is further configured to determine whether there is a difference between the actual amount or actual number of game coins in the recovered game coin area obtained by using the reading result of the RFID reader and the amount or number of game coins in the recovered game coin area obtained by the image analysis device.

8. The cheating detection system according to claim 7, wherein: The cheating detection system includes a win / loss result determination device for determining the win / loss result of the game, The control device is configured as follows: Determining the positions, types, and numbers of game coins placed by each of the at least one player; Determining the amount of game coins to be recovered in the game based on (a) the position, type, and number of game coins placed by each of the at least one player and (b) the win or loss result; as well as The determined amount of gaming coins to be recovered in the game is compared with the actual amount of gaming coins recovered to the recovering gaming coin area.

9. The cheating detection system according to claim 7, wherein: The cheating detection system includes: a game recording device that uses a camera to record an image of the game coin recovery area; and an image analysis device that analyzes the image of the game coin recovery area recorded by the game recording device. The control device is configured to determine whether there is a difference between the actual amount or actual number of game coins in the recovered game coin area obtained using the reading result of the RFID reader and the amount or number of game coins in the recovered game coin area obtained by the image analysis device.

Images