Cheating detection system for a casino

Abstract

The present invention provides a new system for detecting cheating in games at a casino, or errors and cheating in the placement and accounting of chips. A cheating detection system for detecting cheating in a game in which chips are collected and paid out according to the result of the game, includes a camera (2) that photographs chips (9) received in a chip tray (17) of a dealer (5), an image analysis device (12) that analyzes an image photographed by the camera (2) to detect the amount of chips (9) received in the chip tray (17), a card distribution device (13) that determines the result of the game, and a control device (14) that compares the result of the game and the amount of chips (9) received in the chip tray (17) before and after the chips are collected and paid out to detect cheating.

Description

[0001] Divisional application This application is a divisional application of patent application number 201680045982.3, filed on August 2, 2016, entitled "Cheating Detection System for Amusement Parks".

[0002] Reference for related applications This application claims the rights of 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 incorporated herein by reference. Technical Field

[0003] This invention relates to a system for detecting cheating in games at amusement parks, or errors and cheating during the placement and calculation of game coins. Background Technology

[0004] Amusement parks and other entertainment venues are attempting to prevent various forms of cheating. These venues are equipped with surveillance cameras to monitor for cheating. Based on the images captured by these cameras, they determine whether cheating has occurred in games, or whether cheating has occurred in the return or refund of game coins that do not match the expected wins or losses, thus preventing cheating.

[0005] On the other hand, in order to keep track of the number and total amount of game coins already placed, a solution has been proposed to attach wireless IC (RFID) tags to each game coin to track the amount of game coins.

[0006] The card game monitoring system described in International Publication No. 2015 / 107902 uses image analysis of changes in game coins to determine whether game coins placed on the game table are collected or returned according to the win or loss results, thereby monitoring cheating behavior. Summary of the Invention

[0007] The problem the invention aims to solve The purpose of this invention is to provide a new system for detecting cheating in games at amusement parks, or errors and cheating during the placement and calculation of game coins.

[0008] Solution to the problem One aspect of the present invention is a cheating detection system for an amusement park with multiple game tables, comprising: a game recording device that records the state of a game played at the game table as an image using a camera; an image analysis device that performs image analysis on the recorded game state images; a win / loss result determination device that determines the win / loss result of each game at the game table; and a control device that uses the image analysis result of the image analysis device and the win / loss result determined by the win / loss result determination device to detect cheating behavior at the game table; the control device, by means of the image analysis device, monitors the positions of each player. The system analyzes the location, type, and number of game coins, and also monitors the total amount of game coins in the dealer's coin tray at the game table. It adds to and subtracts the increase or decrease in game coins in the game calculated based on the location, type, and number of game coins placed by all players and the win / loss result obtained through the win / loss determination device. The system then compares the expected total amount of game coins in the coin tray after the game ends with the actual total amount of game coins in the coin tray at the end of the game, obtained through the image analysis device, to determine if there is a discrepancy between the expected and actual total amounts.

[0009] Alternatively, in the aforementioned cheating detection system, the control device, with the aid of the image analysis device, can determine the position, type, and number of game coins placed by each player. At the end of the recovery of all lost game coins placed by each player, the control device can determine the actual total amount of game coins in the game coin tray. The control device can then add the required amount of game coins in the game coin tray to the total amount of game coins in the tray before the game's settlement, based on the position, type, and number of game coins placed by the losing players. This required amount is compared with the actual total amount of game coins in the tray to determine if there is a discrepancy between the required and actual total amounts.

[0010] Alternatively, in the aforementioned cheating detection system, the control device can take the total amount of game coins in the game coin tray before each game's settlement, add the game coin tray's allowance based on the position, type, and number of game coins placed by the losing player, and compare this with the actual total amount of game coins in the game coin tray. If there is no difference between the expected total amount and the actual total amount, the control device can also compare the expected total amount in the game coin tray after the game ends with the actual total amount in the game coin tray at the end of the game, obtained through the image analysis device. If there is a difference between the expected total amount and the actual total amount, a payment error is determined, and a payment error signal is generated to notify the user of the payment error.

[0011] Alternatively, in the aforementioned cheating detection system, a game coin tray can be provided in the game coin tray to collect and temporarily store the game coins placed by the losing player. The image analysis device and the control device compare the expected amount of game coins in the game coin 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 tray, and determine whether there is a difference between the expected total amount and the actual total amount in the game coin tray.

[0012] Alternatively, in the aforementioned cheating detection system, the actual total amount of game coins in the game coin tray after the game ends can be determined by the image analysis device at any of the following times: 1) Upon the end of the repayment period for won game currency; 2) When the cards used in the game are recycled and discarded in the discard area of ​​the table; 3) When the specified button attached to the win / loss result determination device is pressed; 4) When the symbols indicating wins and losses are restored.

[0013] Alternatively, in the aforementioned cheating detection system, when the control device determines that the actual total amount of game coins held in the coin tray of the dealer at the game table does not correspond to the increase or decrease in game coins calculated based on the total amount of game coins placed by all players and the winning or losing result of the game, the game recording device can analyze the game record that caused the difference. The game recording device is configured to assign an index or time to the acquired image, or to determine and reproduce the scene of game coin recycling or payment.

[0014] Alternatively, in the aforementioned cheating detection system, the image analysis device or control device can be configured to obtain information on the type, number, and location of the game coins even if multiple game coins placed on the game table are partially or entirely hidden due to the blind spot of the camera.

[0015] Alternatively, in the above-mentioned cheating detection system, the control device may be configured to perform the following actions: 1) Determine the location, type, and quantity of game coins placed at each play area of ​​the game table. Compare the player's win / loss history and the amount of game coins earned from each game's results with past game statistics to identify and address any anomalies. 2) When the amount of game coins placed when losing is less than the amount of game coins placed when winning at the game table's play position, compare this state with past game statistics and extract it as an anomaly.

[0016] Alternatively, in the aforementioned cheating detection system, the control device can compare and determine the amount of game coins held in the coin tray of the dealer at the game table, and whether, after the exchange of banknotes and game coins, the amount of game coins paid for the exchanged banknotes has been increased or decreased based on the amount of game coins paid for the exchanged banknotes or the amount of banknotes paid for the exchanged game coins.

[0017] Alternatively, in the aforementioned cheating detection system, the control device may also have a database containing historical records of the exchange of banknotes and game coins. It can compare and determine, at certain intervals or on a daily basis, the amount of game coins held in the dealer's game coin tray at the game table, whether it has been increased or decreased based on the amount of game coins paid for the exchanged banknotes, or the total amount of banknotes paid for the exchanged game coins.

[0018] Alternatively, in the aforementioned cheating detection system, the control device can use the image analysis device to determine the player whose playing position is extracted as a difference or anomaly.

[0019] Alternatively, in the aforementioned cheating detection system, the control device may have a warning function that notifies the other gaming table of the presence of the specific player when the determined player leaves his / her seat and sits at another gaming table.

[0020] Alternatively, in the above-mentioned cheating detection system, the control device may also have the function of determining at least one of the following: 1) In each game, from the time the starting cards are drawn or from the start of the dealer's game until the game's outcome is displayed by the card-distributing device, are there any changes in the game currency? 2) After each game ends, during the period when the dealer is collecting the game coins placed by the losers among the game participants, did the losers fail to collect their game coins? 3) After each game ends, during the period when the dealer is collecting the game coins placed by the losers among the game participants, are additional game coins added? 4) After each game, did the dealer pay out the winning coins placed by the players? 5) After each game, did the winner among the participants take the game coins that were placed and the game coins that were paid out?

[0021] Alternatively, in the aforementioned cheating detection system, the win / loss determination device can be a card dispensing device at the game table, or a control device that determines the win / loss result of each game based on information from an image analysis device that reads the cards dispensed at the game table using a camera.

[0022] The effects of the invention The cheating detection system according to the present invention can detect cheating in the recycling and repayment of game coins based on the winning or losing results of the game.

[0023] Furthermore, according to the system of the present invention, even if a card is bent due to repeated squeezing by players in a card game, the card's size and suit can be determined through image analysis. For coins in blind spots or overlapping areas, the total amount and location can also be determined. Moreover, cheating during the exchange of banknotes and game coins can also be detected. Attached Figure Description

[0024] Figure 1 This is a schematic diagram showing the overall structure of a cheating detection system in an amusement park with multiple game tables according to the first embodiment of the present invention.

[0025] Figure 2A These are perspective views of game coins, showing examples of different overlapping states of game coins as understood in the first embodiment of the present invention.

[0026] Figure 2B These are perspective views of game coins, showing examples of different overlapping states of game coins as understood in the first embodiment of the present invention.

[0027] Figure 3A This is a diagram showing a detailed view of the game coin tray according to the first embodiment of the present invention.

[0028] Figure 3B This is a diagram illustrating another example of a game coin tray according to the first embodiment of the present invention.

[0029] Figure 4 This is an enlarged view of the markings used to illustrate the dirt on the card in the first embodiment of the present invention.

[0030] Figure 5A This is a top view of the front of the sign indicating the first embodiment of the present invention.

[0031] Figure 5B This is a top view of the back of the symbol indicating the first embodiment of the present invention.

[0032] Figure 6 This is a simplified explanatory diagram illustrating the exchange state of the held banknotes and game coins in the first embodiment of the present invention.

[0033] Figure 7 This is a top view showing an overall outline of a cheat detection system for a card game according to a second embodiment of the present invention.

[0034] Figure 8This is a top view showing an overview of the progress of a card game in the cheat detection system according to the second embodiment of the present invention.

[0035] Figure 9 This is an explanatory diagram showing the process of a dealer in a card game redeeming casino-side game coins.

[0036] Figure 10 This is an explanatory diagram illustrating the payment made by the dealer to the winning guest (game participant) in a card game according to the second embodiment of the present invention.

[0037] Figure 11 This is an explanatory diagram showing the process of a winning guest (game participant) receiving game coins and payments in a card game according to the second embodiment of the present invention.

[0038] Figure 12A This is an explanatory diagram of an image that is the object of image analysis in the cheating detection system of the second embodiment of the present invention, showing the recovery of casino-side winnings by the dealer.

[0039] Figure 12B This is an explanatory diagram of an image that is the object of image analysis in the cheating detection system of the second embodiment of the present invention, showing the recovery of casino-side winnings by the dealer.

[0040] Figure 12C This is an explanatory diagram of an image that is the object of image analysis in the cheating detection system of the second embodiment of the present invention, showing the recovery of casino-side winnings by the dealer.

[0041] Figure 13 This is an explanatory diagram of an image that is the object of image analysis in the cheat detection system of the second embodiment of the present invention, showing the cheating recovery of game coins.

[0042] Figure 14A This is an explanatory diagram of an image that is the object of image analysis in the cheating detection system of the second embodiment of the present invention, showing the recovery of game coins won by the game participant.

[0043] Figure 14B This is an explanatory diagram of an image that is the object of image analysis in the cheating detection system of the second embodiment of the present invention, showing the recovery of game coins won by the game participant.

[0044] Figure 14C This is an explanatory diagram of an image that is the object of image analysis in the cheating detection system of the second embodiment of the present invention, showing the recovery of game coins won by the game participant.

[0045] Figure 14DThis is an explanatory diagram of an image that is the object of image analysis in the cheating detection system of the second embodiment of the present invention, showing the recovery of game coins won by the game participant.

[0046] Figure 15 This is a side cross-sectional view of the card dispensing device according to the second embodiment of the present invention.

[0047] Figure 16 This is a diagram illustrating an example of a card according to the second embodiment of the present invention.

[0048] Figure 17 This is a top view of the main part of the card guide section of the card dispensing device according to the second embodiment of the present invention, with the card guide section partially cut off.

[0049] Figure 18A This is a partial side cross-sectional view showing a dispensing restriction device that restricts the entry and exit of cards in the card receiving section of the card dispensing device according to the second embodiment of the present invention.

[0050] Figure 18B This is a partial side cross-sectional view showing a variation of a dispensing restriction device that restricts the entry and exit of cards in the card receiving section of the card dispensing device according to the second embodiment of the present invention.

[0051] Figure 19 This is a diagram showing the relationship between the output waveform of the sensor class and the markings in the card dispensing device according to the second embodiment of the present invention. Detailed Implementation

[0052] (First Embodiment) In amusement parks and other gaming venues, game tokens are piled high on the gaming tables. However, the IC tag readers located under the tables have a problem with accurately reading the total amount. If the sensitivity of the readers is increased, tokens placed in different locations (where wins and losses are determined by left and right positions) may be totaled, making it impossible to accurately determine the total amount of tokens in each location. Furthermore, with camera footage, there are issues such as blind spots due to the camera's angle or obstructions due to overlapping, making it impossible to accurately determine the total amount of game tokens.

[0053] Furthermore, although this is frequently done in a certain card game, the following problem exists: due to players squeezing the cards (bending the cards face down while waiting to see the size of the cards, etc.), the cards are bent, and the size and suit of the cards cannot be determined through image analysis from the camera.

[0054] Furthermore, it addresses the following new issues: the sophistication of cheating at gaming tables. At these tables, cheating based on advanced placement methods, which cannot be detected simply by checking for large winning amounts, cannot be detected by cameras or tracking winning amounts. Moreover, cheating based on collusion between the dealer and the player cannot be adequately prevented using existing technology.

[0055] To solve the aforementioned problems, the cheating detection system for an amusement park with multiple game tables in the first embodiment... It is a cheat detection system for amusement parks with multiple game tables, and features: The game recording device records the progress of the game at the game table, including the dealer and players, as video using a camera; An image analysis device performs image analysis on the recorded video of the game's progress. A card dispensing device that determines and displays the win / loss results of each game on the game table; and The control device uses the image analysis results from the image analysis device and the win / loss results determined by the card dispensing device to detect cheating behavior at the game table.

[0056] In addition, the card dispensing device in the cheating detection system is configured to read the card size of the cards being dispensed, and the control device is configured to compare the card size information obtained by the image analysis device from the images of each card dispensed at the game table with the card size information read by the card dispensing device to determine whether they are consistent or not.

[0057] In addition, in cheating detection systems, the image analysis device or control device is an artificial intelligence-efficient or deep learning construct capable of obtaining information about the face value of cards from cards dealt at the game table that have been bent or soiled by players.

[0058] 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. By analyzing the image of the game's progress using the image analysis device, it determines whether the lost game coins placed by each player have been correctly recovered and the won game coins have been correctly paid out according to the game's win or loss results.

[0059] In addition, in the cheating detection system, the image analysis device or control device is an artificial intelligence-based or deep learning structure that can obtain information about the type, number, and location of the game coins even when multiple game coins placed on the game table are partially or entirely hidden due to the blind spot of the camera.

[0060] In addition, the cheating detection system uses an artificial intelligence-efficient or deep learning-based structure to effectively utilize artificial intelligence to calculate the amount of game coins held in the dealer's coin tray according to the game's outcome, and to adjust the amount of lost game coins and payouts for won game coins after the game ends and is settled.

[0061] In addition, the cheating detection system uses an artificial intelligence-based or deep learning structure to effectively utilize the historical wins and losses of each player and the amount of game coins obtained from the wins and losses of each game, and compares them with the statistical data of past games to extract anomalies.

[0062] In addition, in the cheating detection system, the control device is able to compare the state where the amount of game coins placed when losing is less than the amount of game coins placed when winning at a certain game table with the statistical data of past games, and use artificial intelligence to effectively extract anomalies or construct a deep learning structure.

[0063] In addition, in the cheating detection system, the control device is capable of identifying, by means of the image analysis device, the structure of an individual player in a playing position who has obtained a winning amount of more than a specified amount, as an abnormal situation.

[0064] In addition, the control device in the cheating detection system has a warning function that notifies the other gaming table of the presence of the specific player when the identified player leaves his / her seat and sits at another gaming table.

[0065] To address the aforementioned problems, the cheating detection system for amusement parks with multiple game tables, as described in this application, comprises: The game recording device records the progress of the game at the game table, including the dealer and players, as video using a camera; The card dispensing device determines and displays the winning and losing results of each game on the game table; The image analysis device performs image analysis on the recorded video of the game's progress; and The control device is capable of using the image analysis results of the image analysis device to detect banknotes and game tokens at the game table; The image analysis device or control device is constructed using artificial intelligence or deep learning in the following way: based on information obtained from the card dispensing device or the dealer, it can detect the exchange of banknotes and game coins at the game table, except in the case of card distribution, and recognize the total amount of the banknotes verified by near-ultraviolet light. Even if multiple game coins taken from the game table as exchange objects are partially or completely hidden due to the blind spot of the camera, the total amount of game coins can still be recognized. It can compare the total amount of banknotes taken from the game table by the player with the total amount of game coins taken from the dealer to determine whether the two amounts are consistent.

[0066] In addition, the cheating detection system uses an artificial intelligence-based or deep learning-based structure to compare and calculate the amount of game coins held in the dealer's coin tray at the game table, and to determine whether the amount of game coins paid out after the exchange and settlement of banknotes and game coins is increased or decreased based on the amount of game coins paid out with the exchanged banknotes.

[0067] Furthermore, in the cheating detection system, the control device is constructed using artificial intelligence or deep learning: after the exchange and settlement of banknotes and game coins, it compares and calculates the consistency between the banknote amount entered based on the dealer's input and the total amount of banknotes based on the image analysis results of the image analysis device. Moreover, the control device is also constructed using artificial intelligence or deep learning: it compares and calculates the consistency between the total banknote amount entered at the game table managed by the dealer based on the dealer's input and the total amount of banknotes based on the image analysis results of the image analysis device.

[0068] According to the cheating detection system of this embodiment, even if a card is bent due to repeated squeezing by players in a card game, the system can determine the card's size and suit through image analysis. It can also determine the total amount and location of game coins in blind spots and overlapping areas. Furthermore, it can detect cheating during the exchange of banknotes and game coins.

[0069] The following is a more detailed overview of the overall cheating detection system in an amusement park with multiple game tables according to the first embodiment of the present invention. Figure 1This diagram illustrates the overall structure of a cheat detection system in an arcade with multiple game tables 4. It includes: a game recording device 11, which records the progress of games at the game tables 4, including players 6 and the dealer 5, as images using multiple cameras 2; an image analysis device 12, which performs image analysis on the recorded game progress images; and a card dispensing device 3, which determines and displays the win / loss results for each game at the game tables 4. The card dispensing device 3 is a so-called electronic shoe, as used by those skilled in the art, constructed to pre-program the game rules, read the information of the dealt cards C, and determine the win / loss of the game. For example, in a certain card game, whether player B wins, player P wins, or it's a draw, is basically determined by the face value of 2-3 cards, and the result (win / loss result) is displayed by a result display light 13.

[0070] This cheating detection system also includes a control device 14, which compares the actual card values ​​based on the image analysis results from the image analysis device 12 with the win / loss results determined by the card dealing device 3, and detects cheating behavior at the game table 4 (inconsistencies between the total card values ​​and the win / loss results, etc.). The card dealing device 3 is configured to read the card values ​​(A, 2-10, J, Q, K) and suits (hearts, spades, etc.) of the cards C manually dealt by the dealer 5. The control device 14 is configured to compare the card value and suit information obtained by the image analysis device 12 (using artificial intelligence) from the images of each card dealt at the game table 4 (captured by the camera 2) with the card value and suit information read by the card dealing device 3, and determine whether they match or not. The image analysis device 12 and the control device 14 in this cheating detection system are integrated or combined and include a computer, program, and memory consisting of multiple structures.

[0071] The image analysis device 12 and control device 14 possess an AI-efficient or deep learning architecture capable of obtaining information about the face value of a card C, even if it is dealt on the game table 4 and bent or soiled by player 6. The soiled card C, for example... Figure 4As shown, situations arise where it is difficult to distinguish between clubs and spades. Even in such cases, by using AI-efficient computer or control systems and deep learning (construction) techniques to analyze and determine the suit, suit identification becomes possible. Furthermore, even if a card is bent due to repeated pressure from players in a card game, by utilizing self-learning from multiple image deformation examples, AI-efficient computer or control systems and deep learning (construction) techniques can identify the suit and rank of the card before deformation. AI-efficient computer or control systems and deep learning (construction) techniques are well-known and usable by those skilled in the art, so detailed explanations are omitted.

[0072] The control device 14, specifically designed for effective utilization of artificial intelligence or deep learning, can use the camera 2 and image analysis device 12 to determine the location (P, B, or PAIR) of each player's coin 9 in the placement area 8, the type of coin 9 (coin 9 is assigned a different value for each color), and the number of coins placed. The coins 9 may overlap vertically, or they may be arranged in other ways. Figure 2A The overlapping is staggered as shown. This situation occurs when camera 2 is located... Figure 2A In the case shown by arrow X (or in the case where the orientation of coin 9 is a dead angle), as Figure 2B In this way, it can be imagined that the game coin 9 is not visible (entering a blind spot). Computers or control systems that effectively utilize artificial intelligence, deep learning (construction) technology, etc., can use self-learning functions to identify the concealment of the game coin 9 due to blind spots (a partial concealment of a single game coin, or the entire game coin being concealed), and accurately grasp the number of coins. Thus, since it can grasp the exact position (P, B, or PAIR) of the game coin 9 in the placement area 8, the type of game coin 9 placed (game coins 9 are assigned different values ​​according to each color), and the number of coins, in each game, according to the winning or losing result determined by the card dispensing device 3, the control device 14 analyzes the image of the game's progress using the image analysis device 12 to determine whether the lost game coins placed by each player 6 have been correctly collected (indicated by arrow L) and whether the winning player 6 has been paid out 9W of the winning game coins (as shown by arrow L) according to the winning or losing result of the game.

[0073] The control device 14 can use the image analysis device 12 to analyze and monitor the total amount of game coins 9 in the coin tray 17 of the dealer 5 at the game table 4. After the game ends and is settled, it can compare and calculate whether the total amount of game coins 9 in the coin tray 17 corresponds to the recovery of the lost game coins 9 placed by each player 6 and the payment of 90,000 won game coins to the winning player 60,000, based on the game's winnings. Even though the total amount of game coins 9 in the coin tray 17 is monitored through RFID and other means, the control device 14 determines the accuracy of this increase or decrease by analyzing the game's progress using the image analysis device 12. This also effectively utilizes artificial intelligence or deep learning structures.

[0074] In this example, cheating or errors can be detected based on information such as the outcome of the game, the number of each type of token 9 placed in which position (P, B, or PAIR) of the placement area 8, the recovery of lost tokens, and the increase or decrease of tokens 9 in the token tray 17 after the repayment of won tokens 9. Therefore, even without knowing the changes in tokens 9 after the game ends, i.e., whether the placed tokens 9 are moved to the player's side or the dealer's side, cheating or errors can be detected.

[0075] Here, for example, in the case of a card game, the winner can be determined by reading the face value of the cards C successively dealt by the card dispensing device 3 in the game, according to the rules of the card game. Furthermore, by using camera 2 to photograph the game table 4, analyzing the image using image analysis device 12, and comparing the analysis results with the game rules using control device 14, the winner can also be determined. In this case, camera 2, image analysis device 12, and control device 14 constitute the winner determination device. Information regarding which type of game coin 9 each player in each play position 7 places, how many, and in which position (P, B, or PAIR) of the placement area 8 can be obtained by camera 2 photographing the game coins 9 placed in the placement area 8, and by image analysis device 12 analyzing the image for each play position 7.

[0076] Furthermore, the increase or decrease in the amount of game coins 9 in the game 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 game 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 game 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 game coin tray 17 before the recovery of lost game coins 9 and the repayment of won game coins 9, and the total amount of game coins 9 in the game coin tray 17 after the recovery of lost game coins 9 and the repayment of won game coins 9 can be detected by the image analysis device 12 analyzing the images taken by the camera 2 of the game coin tray 17. Alternatively, the total amount of game coins 9 stored in the game coin tray 17 can be detected by embedding RFID tags indicating their value in the game coins 9 and installing RFID readers on the game coin tray 17.

[0077] For example, let's say the total amount of game coins 9 in coin tray 17 before the game starts is Bb, and the total amount of game coins 9 in coin tray 17 after the game ends, including the recovery of lost game coins and the repayment of won game coins, is Ba. Furthermore, in this game, the total amount of all play positions 7 of game coins 9 placed in area P is bp, the total amount of all play positions 7 of game coins 9 placed in area B is bb, and the total amount of all play positions 7 of game coins 9 placed in the tie area is bt. For example, if the game results in player B winning, Ba - Bb = bp - bb + bt should hold true. Alternatively, the total amount Ba of game coins 9 in 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 was cheating or error in the recovery or repayment of game coins.

[0078] Figure 3A This is a diagram showing the detailed configuration of the game coin tray in this embodiment. Figure 3BThis diagram illustrates another example of a game coin tray. The game coin tray 17 includes a coin return tray 171 and a coin repayment tray 172. The coin return tray 171 returns and temporarily stores the game coins 9L placed by the losing player 6L, while the coin repayment tray 172 stores the game coins 9L to be repaid. The image analysis device 12 and the control device 14 determine the position, type, and number of game coins 9L placed by the losing player 6L, and calculate the increased amount of game coins 9L in the game (the expected amount of game coins 9L in the coin return tray 171). Furthermore, the image analysis device 12 and the control device 14 determine the actual total amount of game coins 9L in the returned coin tray 171, and compare the total amount with the actual total amount to determine if there is a discrepancy.

[0079] Furthermore, by using the game coin 9 in the game coin tray 172 to repay the 60,000 game coins to the winning player, 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 game coin tray 171 after the recycling.

[0080] The game table 4 has a discard area 41 and / or a discard slit 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 into the discard area 41 or the discard slit 42 on the game table 4 for discarding.

[0081] The game table 4 also features a sign 43 indicating whether the game has been won or lost. Figure 5A This is a top view showing the front of the logo. Figure 5B This is a top view showing the back of the symbol. In a certain card game, two symbols are used: symbol 43a for player P's win and symbol 43b for player B's win. When the game results are announced, the dealer (5) flips over the symbol of the winning player (P or B). This makes the outcome of the game easily and clearly displayed on the table. The flipped symbols are restored by the dealer (5) after the game coins (9) are returned. Restoring the symbols signifies that the game can begin the next round.

[0082] As described above, in this embodiment, the control device 14 calculates the income and expenditure of game coins for each game based on the amount of game coins placed on the game table 4 and the winning or losing results of the game, and verifies the increase in the balance of game coins in the game coin tray 17 after each game. If the control device 14 detects a discrepancy in this verification, it issues an alarm or adds a record indicating the situation to the video recording captured by the camera 2. The casino operator can investigate the cause of the discrepancy by reviewing the video.

[0083] In the cheating detection system of this embodiment, the total amount of game coins 9 in the game coin tray 17 before the game is cleared is added to and subtracted from the increase or decrease of game coins in the game calculated based on the position, type and number of 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 system then compares the expected total amount of game coins 9 in the game coin tray 17 after the game is cleared at the end 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, and determines whether there is a difference between the expected total amount and the actual total amount.

[0084] The control device 14, with the aid of the image analysis device 12, grasps the position, type, and number of game coins placed by each player. When all the lost game coins placed by each player are collected, the control device 14 grasps the actual total amount of game coins in the game coin tray. The control device 14 compares the total amount of game coins in the game coin tray before the settlement of each game with the actual total amount of game coins in the game coin tray 17, which is obtained by adding the amount of game coins placed by the losing players according to the position, type, and number of game coins placed by the losing players, and determines whether there is a difference between the expected total amount and the actual total amount.

[0085] The control device 14 compares the total amount of game coins 9 in the game coin tray 17 before each game's settlement with the actual total amount of game coins 9 in the game coin tray 17. This comparison is made by adding the amount of game coins 9 placed by the losing player to the game coin tray 17's increment for that game. If 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 the game ends with the actual total amount of game coins 9 in the game coin tray 17 obtained by the image analysis device 12 at the end of the game. If there is a difference between the expected total amount and the actual total amount, the control device 14 determines that there is a payment error and generates a payment error signal to notify the payment error.

[0086] The game coin tray 17 is equipped with a game coin recycling tray 171 for temporarily storing and collecting game coins 9 placed by losing players. The image analysis device 12 compares the total amount of game coins 9 in the recycling tray 171, which is calculated based on the position, type and number of game coins 9L placed by the losing players, with the actual total amount of game coins 9 in the recycling tray 171, and determines whether there is a difference between the total amount and the actual total amount.

[0087] In order to analyze the game record of the game that caused the difference 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 game table 4 does not correspond to the increase or decrease of game coins calculated based on the amount of game coins placed by all players and the winning or losing result of the game, the game record device 11 is configured to index or time the acquired images, or to determine and reproduce the scene of game coin 9 being collected or paid.

[0088] Thus, the control device 14 obtains the total amount of game coins in the game coin tray 17 after the game ends, by means of the image analysis device 12. However, the determination of the amount after the settlement in this case is made at the moment when any of the following 1) to 4) occurs: 1) The repayment of the 9 game coins won at the end; 2) When the card C used in the game is recycled and discarded in the discard area 41 or discard slit 42 of the table; 3) When the designated button attached to the win / loss result determination device is pressed; 4) The symbol indicating win or loss 43 is restored.

[0089] Furthermore, the control device 14 is configured to effectively utilize artificial intelligence or employ deep learning: it can grasp the position (position of P, B, or PAIR) and amount (type and number) of game coins placed at each play position 7 of the game table 4, and compare the win / loss history of each player 6 and the amount of game coins won (the amount won) obtained from the win / loss results of each game with statistical data from many past (big data) games, and extract it as an anomaly (set by the casino). Typically, the device 14 is configured to effectively utilize artificial intelligence or employ deep learning: the occurrence of winning amounts of a certain amount (1 million points) or more, or the state where the amount of game coins placed when losing is small and the amount of game coins placed when winning is large in a certain play position 7 of the game table 4 continues in multiple games, and this can be compared with statistical data (big data, etc.) from past games, and this can be extracted as an anomaly.

[0090] Furthermore, the control device 14 of this cheating detection system (integrated with the image analysis device 12) is configured to identify individual players 6 who have been identified as having an abnormal situation or who have won a specified amount or more at a playing position 7. For the identification of such players 6, the image analysis device 12 obtains a facial image through feature point extraction, etc., and assigns it an identification number (ID, etc.). Moreover, the control device 14 has a warning function that notifies the other gaming table of the presence of the specific player when the identified player 6 leaves and sits at another table. Specifically, it notifies the manager of each gaming table 4 or the person in charge of each table (or the dealer) to prevent further abnormalities.

[0091] The control device 14 also has a database that stores the exchange history of banknote K and game coins 9. By referring to the database at certain times or on a daily basis, it compares and determines whether the amount of game coins 9 held in the game coin tray 17 of the dealer 5 at the game table 4 has been increased or decreased based on the payment amount of game coins 9 corresponding to the exchanged banknote K, or the total amount of payment amount of banknote K corresponding to the exchanged game coins 9.

[0092] Furthermore, in the above example, it is possible to monitor the win / loss history and the amount of game coins (wins) of each playing position 7 without knowing the individual player 6. In this case, although it is not possible to track and investigate player 6 when they leave their seats, it is possible to detect anomalies such as a situation where the amount of game coins placed when losing is small and the amount of game coins placed when winning is large, which persists in multiple games at a specific playing position 7 of a game table 4. Moreover, if such a playing position 7 is detected, cheating or errors are suspected at that playing position 7. Furthermore, by verifying the video footage of that playing position 7, cheating or errors can be discovered.

[0093] Specifically, camera 2 is configured to capture images of at least the game coins 9 placed in the placement area 8 of the game table 4. Image analysis device 12 analyzes the images captured by camera 2, detecting which position (P, B, or tie) of the placement area 8 has game coins placed and the amount of game coins placed, according to each user position 7. Furthermore, card dealing device 3 functions as a win / loss determination device, determining the win / loss outcome of the game. Control device 14 records (monitors) the win / loss history and the amount of game coins obtained (game coin winnings) for each playing position 7 based on the position (P, B, or tie) of the game coin 9 placed in the placement area 8 and the game's win / loss outcome. Alternatively, only either the win / loss history or the game coin winnings can be recorded. If the control device 14 determines that the player's position 7 is suspected of cheating when comparing the win / loss history and / or the game coin winnings history with statistical data from many past (big data) games and finds an anomaly (set by the casino), then the control device 14 identifies that player's position 7 as a playing position suspected of cheating.

[0094] If cheating is suspected in player position 7, the cheating detection system can generate an alarm (light, sound, or vibration) in a manner that is at least perceptible to the dealer at that time. This prevents further cheating by at least halting the game at that location. Alternatively, information indicating suspected cheating can be added to the footage captured and recorded by camera 2. This allows for investigation into the cause of the suspected cheating by reviewing the video.

[0095] The cheating detection system in this embodiment for an amusement park with game tables also includes a function to check for repeated exchanges of banknotes for game tokens at game table 4. In amusement parks such as casinos, before a game, player 6 exchanges banknotes (cash, etc.) for game tokens at a designated game token exchange location. However, when player 6 runs out of game tokens, without leaving game table 4, they can exchange cash (banknotes) for game tokens 9 at a game table (such as a card game table) and continue playing. However, this creates an opportunity for cheating between the dealer 5 and the player. Exchanging cash (banknotes) for game tokens 9 at the game table (such as a card game table) must be done when not playing. The card dealing device 3 can detect the start and end of card dealing (the period for determining the winner) to determine the outcome of the game. Therefore, the card dispensing device 3 detects situations other than card dispensing (distribution), and the control device 14 detects that, in situations other than card distribution, a transaction of exchanging banknotes for game tokens 9 is taking place on the game table 4. Figure 6 (As shown in the diagram). For card distribution (or other situations), detection can be performed based on information obtained from the actions of the card dispensing device 3 or the dealer 5.

[0096] The control device 14 performs image analysis on the surface of the banknote K, enabling it to identify the number and amount of banknotes. Furthermore, at the game table 4, the authenticity of the banknote K used to exchange for the game coin 9 is verified by irradiating it with near-ultraviolet light to detect the authenticity mark G on the banknote. Figure 6 As shown, the control device 14 is constructed using artificial intelligence or deep learning in the following way: it performs image analysis to verify the authenticity of the counterfeit mark G, recognizes the total amount of real banknotes, and even if multiple game coins taken from the game table as exchange objects are hidden due to the blind spot of the camera 2, it can still recognize the total amount of game coins. It can compare the total amount of banknotes K taken from the player at the game table 4 with the total amount of game coins 9 taken from the dealer 5 to determine whether the two amounts are consistent.

[0097] The control device 14 is constructed using artificial intelligence or deep learning: it can compare and calculate the total amount of game coins 9 in the coin tray 17 of the dealer 5 at the game table 4, and whether it increases or decreases based on the payment amount of game coins corresponding to the exchanged banknotes after the exchange and settlement. Alternatively, it can utilize RFID or similar technologies to continuously monitor the total amount of game coins 9 in the dealer 5's coin tray 17. Furthermore, by using camera 2 to photograph the coin tray 17 containing game coins 9, and analyzing the image using image analysis device 12, the total amount of game coins 9 in the coin tray 17 can also be detected.

[0098] Furthermore, the control device 14 verifies whether the increase or decrease in the amount of game coins 9 in the game coin tray 17 before and after the exchange of banknotes and game coins is consistent with the exchange amount of game coins as determined by the image analysis results on the game table 4. The amount of banknotes already paid can be input into the control device 14 by the dealer 5 via a keyboard, or it can be determined by using the camera 2 to capture an image of the game table 4 where banknote payments are made, and then analyzing the image using the image analysis device 12.

[0099] As described above, the control device 14 determines whether the reduction in the value of the game coins 9 in the game coin tray 17 caused by the exchange of banknotes and game coins is consistent with the amount of banknotes paid by the player 6 to the dealer 5. Furthermore, the control device 14 is an intelligent control device capable of comparing and calculating the consistency between the amount of banknotes received by the dealer 5 (usually based on keyboard input, etc.) after the exchange and settlement of banknotes and game coins, and the calculated amount of banknotes based on the image analysis results of the image analysis device 12. It can also be an artificial intelligence-efficient or deep learning-based device.

[0100] Furthermore, the control device 14 is an artificial intelligence-efficient or deep learning construct capable of comparing and calculating the consistency between the total amount of banknotes entered by the dealer at the game table 4, which is responsible for the dealer, and the total amount of banknotes based on the image analysis results of the image analysis device 12.

[0101] 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 at the game table 4 has been increased or decreased after the exchange of banknotes and game coins 9, based on the payment amount of game coins 9 corresponding to the exchanged banknotes or the payment amount of banknotes corresponding to the exchanged game coins 9.

[0102] (Second Implementation) Among the many table games played in casinos and other amusement parks, there is a card game. These games use a standard deck of cards consisting of 52 cards, which are dealt to the game table from a card-dealing device that has pre-shuffled multiple decks (from 6 to 9 or 10 decks). The winner is determined by the number of cards dealt (card value) and the rules of the game.

[0103] The distribution of cards from the card-dispensing device and the calculation of the amount placed by guests (game participants) are carried out by the dealer or other personnel responsible for the game table. At casinos and other amusement parks, efforts are being made to prevent errors and cheating in the calculation of the amount placed by guests (game participants).

[0104] In the card game monitoring system described in the international publication WO2015 / 107902, surveillance cameras are used to read changes in game currency and check whether the placed amount has been paid to the winner.

[0105] Regarding the placement of guests in a certain card game and the calculation of the amount of cards placed by the dealer for the guests (game participants), the following problems exist: it is impossible to detect when these actions are taken, who places the game coins, or whether they have been taken, so it is impossible to ascertain whether these actions are correct.

[0106] To solve the aforementioned problems, the cheating detection system of the second embodiment is a cheating detection system for an amusement park with game tables, and includes: A game monitoring device that uses a camera to monitor the progress of games played at a game table; An image analysis device that performs image analysis on images obtained using the camera; A card dispensing device that determines and displays the win / loss results of each game on the game table; and The control device uses the analysis results of the image analysis device in each game to determine the position of the game coins placed by the game participants on the game table, and uses the win and loss results to determine the winners and losers among the participants in each game. The control device also has the function of determining at least one of the following: 1) In each game, from the time the starting cards are drawn or from the start of the dealer's game until the game's outcome is displayed by the card-distributing device, are there any changes in the game currency? 2) After each game ends, during the period when the dealer collects the game coins placed by the losers among the game participants, were there any changes in the game coins caused by anyone other than the dealer? 3) After each game ends, during the period when the dealer is collecting the game coins placed by the losers among the game participants, are additional game coins added? 4) After each game, did the dealer pay out the winning coins placed by the players? 5) After each game, did the winner among the participants take the game coins that were placed and the game coins that were paid out?

[0107] Furthermore, the control device may also be configured to detect changes in the hands of the dealer and game participants, changes in game coins, or changes in both hands and game coins, by using the analysis results of the image analysis device, thereby determining at least one of 1) to 5).

[0108] Furthermore, the control device can also be configured to determine whether the amount of game coins paid by the dealer to the winner is correct, based on the amount placed by the winner among the game participants.

[0109] Furthermore, the cheat detection system of the game may also include a monitor or light that receives the judgment result and issues a warning or displays it.

[0110] According to the cheating detection system of this embodiment, the system can detect the timing of the placement of game coins by guests in a card game and the calculation of the amount of game coins placed by the dealer for guests (game participants), as well as who placed them or whether they have been taken away. It can detect and warn or display these errors and cheating behaviors, and prevent them from happening again.

[0111] Before proceeding to the detailed description of this embodiment, the process of a certain card game played in amusement parks such as casinos will be described. Furthermore, in this second embodiment, the same components as in the first embodiment will be described with the same numbering.

[0112] like Figure 7As shown, at game table 4, the guest (game participant / player) 6 sits facing the dealer 5 in the playing position (chair) 7. The guest (game participant) 6 places game coins 9 in the placement area 8 in front of them, placing them to determine the outcome of a card game, whether P (PLAYER) or B (BANKER) wins, or results in a tie (TIE). The dealer 5 times the timer to complete the placement by the guest (game participant) 6, shouting "No More Bet" (placement processing complete), and making actions such as moving their hand horizontally. Figure 7 (The state shown in the image). In a certain card game, from the moment the card draw begins ("No More Bet" is called) or the dealer 5 initiates the game, until the game results are displayed via the card dispensing device 3, the guest (game participant) 6 cannot move game coins, place additional game coins, or retrieve placed game coins.

[0113] Next, the game cards 1 are drawn one by one from the card dispensing device 3, face down, and placed onto the game table 4. First, four cards are drawn, such as... Figure 8 As shown in ① to ④, the first card belongs to P (PLAYER), the second card to B (BANKER), the third card to P (PLAYER), and the fourth card to B (BANKER), arranged in areas 10 (P area 10P and B area 10B) visible from the dealer 5 at the game table 4. Furthermore, based on the face value (number) of the first to fourth cards 1 and the conditions in the detailed rules of a certain card game, the dealer 5 draws the fifth and sixth cards 1, which belong to either P (PLAYER) or B (BANKER). Next, based on the face value (number) of the first to fourth cards 1 (and, depending on the situation, the fifth and sixth cards) and the detailed rules of a certain card game, the winner of the game is determined. Here, the game rules are pre-programmed in the card dispensing device 3, which can read the information of the dispensed cards 1 (face value (number) and suit) to determine the winner. The determination is made as to whether the win / loss result (win / loss result) determined by the card dispensing device 3 is consistent with the win / loss result determined by the card dealer, etc., as described above.

[0114] The following is an overview of the cheat detection system in an amusement park according to an embodiment of the present invention. Figure 7This diagram illustrates the overall structure of the system. The cheating detection system in the game room includes: a game recording device 11, which records the progress of the game at the game table 4, including the guests (game participants) 6 and the dealer 5, as images via a camera 2; an image analysis device 12, which performs image analysis on the recorded game progress images; and a card dispensing device 3, which has the function of determining and displaying the win / loss results of each game at the game table 4. The card dispensing device 3 is a so-called electronic shoe used by those skilled in the art. It is constructed to pre-program the game rules and can detect when the dealer 5 distributes the cards 1 at the start of each game, and read the information of each distributed card 1 (card value and suit) to determine the win / loss of the game. For example, in a certain card game, the win for player B, the win for player P, and a draw are basically determined by the value of 2-3 cards, and the determination result (win / loss result) is displayed via an indicator light 13.

[0115] The control device 14 of this cheating detection system has a game coin detection function. This function uses the analysis results from the image analysis device 12 in each game to determine which placement area 8 (P side or B side) the guest 6 (game participant) has placed game coins 9 on at the game table 4. Regarding the position and total amount of game coins 9 (which placement area 8 on the P side or B side), it is conceivable that if game coins 9 are staggered or overlapped, or if they fall into a blind spot from the camera 2's position, they usually cannot be read. The control device 14 is configured to use a computer or control system based on existing artificial intelligence, a self-learning function based on deep learning (construction) technology, etc., to identify situations such as game coins 9 being hidden due to blind spots (partial hiding of a single game coin, or complete hiding of the game coin), accurately grasping the position and number of coins. Furthermore, the configuration for detecting the position and type of game coins 9 in the placement area 8 is not limited to this; for example, it can also be configured to detect by reading the ID embedded in the game coin.

[0116] As described above, the control device 14, with the aid of the camera 2 and the image analysis device 12, can determine the position (placement against P, B, or PAIR), type (different values ​​are assigned to each color of the game coin 9), and number of coins placed by each player 6. It can also detect which player 6 placed the coin against P (if multiple players 6 placed it against P, the player 6 who placed the highest value), and which player 6 placed it against B (if multiple players 6 placed it against B, the player 6 who placed the highest value). The image analysis device 12 and the control device 14 in this cheating detection system are integrated or combined, incorporating a computer, program, and memory consisting of multiple components.

[0117] 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 game table 4 (using the camera 2) with the card size and suit information read by the card dealing device 3, and determine whether they match. Based on the winning or losing results of the game determined by the card dealing device 3 in each game, the control device 14 analyzes the images of the game's progress using the image analysis device 12 to determine whether the loss of game coins 9 placed by the guest (game participant) 6 and the winning game coins paid to the winning guest (game participant) 6 have been correctly collected according to the game's winning or losing results.

[0118] The control device 14, according to the rules of a certain card game, has the functions shown in 1) to 5) below, which are characteristic functions of this invention, determining whether cheating that violates the rules has occurred. That is, 1) In each game, monitoring is conducted using information obtained by the image analysis device 12 from the camera 2 (such as...). Figure 8 (As shown) From the signal for drawing the starting card received from the card dispensing device 3, or from the start of the game operation initiated by the dealer 5 pressing the start button 4 seconds ago, until the result of the game is displayed by the card dispensing device 3, whether there is any change in the game coin 9.

[0119] 2) After each game, the information obtained by the image analysis device 12 using the camera 2 is used to monitor the period during which the dealer 5 collects the game coins 9 placed by the losers among the game participants 6 (e.g., Figure 9 As shown), did loser 6 take game coin 9 without cheating?

[0120] 3) After each game ends, the information obtained by the image analysis device 12 using the camera 2 is used to monitor whether anyone other than the dealer 5 (winner or loser) adds the won game coins 9W, or whether the game coins 9 are not replaced on the winning side where they were not placed, during the period when the dealer 5 is collecting the game coins 9 placed by the loser among the game participants.

[0121] 4) After each game, the information obtained by the image analysis device 12 using the camera 2 is used to monitor whether the dealer 5 correctly placed the game coin 9 for the winner among the game participants 6 (e.g., the game coin 9W was correctly placed). Figure 10 (As shown).

[0122] 5) After each game ends (the dealer 5 operates the card distribution device 3 and displays the winning / losing results on the indicator light 13), the information obtained by the image analysis device 12 using the camera 2 is used to monitor whether the winner 6W among the game participants 6 has taken the placed game coin 9 and the game coin 9W that has been paid out (e.g., ...). Figure 11 (As shown).

[0123] The control device 14 analyzes the information obtained by the image analysis device 12 using the camera 2 as follows. That is, by using the analysis results of the image analysis device 12, it detects the movement of the dealer's hand and the game participant's hand, the movement of the game coin, or the movement of the hand and the movement of the game coin, to perform the monitoring of 1) to 5). However, in this basic analysis, it is at least necessary to know who took the game coin 9. The method of this analysis will be described below using Figures 12 to 14.

[0124] Analysis of the situation where dealer 5 takes the game coin 9 placed by game participant 6L (Figure 12).

[0125] The dealer 5 collects the game coins 9 placed by the losing player 6L. This is monitored by analyzing information obtained from the image analysis device 12 using the camera 2 to ensure that the coins are indeed collected. First, image analysis is used to detect whether the placed game coins 9 have been removed from their existing state (…). Figure 12A ) to a state that does not exist ( Figure 12C The changes in ) are then shown. Then, the image of the period during which game coin 9 changes from its present state to its non-present state is presented. Figure 12B ) is analyzed. The graph of the period from the presence of game coin 9 to its absence is analyzed. Figure 12B In the analysis, the hand 5h is determined from which side it extends (from above or outside of Figure 12). If it extends from above (or the hand appears from above and then retracts upwards), the hand 5h is determined to belong to the dealer 5. If the hand extends from any other direction, it is determined to be cheating. Cheating is detected according to this rule.

[0126] During the period when the dealer (5) is recovering the lost coin (9) placed by participant (6L), it is monitored whether other players have taken the lost coin (9) without cheating (Figures 12 and 11). For the image during the period when the coin (9) changes from its present state to its non-present state, as shown... Figure 13 As shown, the analysis of the situation where the loser 6L among the 6 participants in the game was taken was conducted by detecting the hand 6h from the image analysis. Figure 13 If the card extends or moves from below (originally from above), it is considered that the player other than the dealer 5 has taken the game coin 9, and this is considered cheating.

[0127] Analysis of the scenario where dealer 5 correctly pays (places) 9W of winning game coins, which is then taken by the winner 6W among the game participants 6. First, regarding... Figure 14A The game coins won, as shown Figure 14B As shown, repay 90,000 game coins according to the game rules. Detected from Figure 14AThe state of the diagram shown Figure 14B The changes in the displayed state are simultaneously analyzed using image analysis to determine if the hand belongs to the dealer (5h). Then, the control device (4), according to the game rules and based on the image analysis results, checks whether the hand is indeed the dealer's hand (5h). Figure 14C As shown, the hand 6h of the winner 6W among the 6 participants in the game extends (moves) to the same placement area, after which all 9 game coins disappear. Figure 14D The state of the state is used to determine whether cheating has occurred.

[0128] Furthermore, the control device 4 is configured to determine whether the amount of game coins paid by the dealer 5 to the winner 6W among the game participants 6 is correct, based on the amount placed by the winner 6W. 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 is game coin 9 placed in), it is conceivable that if game coins 9 are misaligned or overlapped, or if they fall into a blind spot from the position of camera 2, they usually cannot be read. The control device 14 is configured to use a computer or control system based on existing artificial intelligence, a self-learning function based on deep learning (construction) technology, etc., to identify the concealment of game coins 9 due to blind spots (partial concealment of a single game coin, or complete concealment of the game coin), accurately grasping the position and number of coins. Furthermore, the configuration for detecting the position 8 and type of game coins 9 in the placement area 8 is not limited to this; for example, it can also be configured to detect by reading the ID embedded in the game coin.

[0129] As described above, the control device 14 can use the camera 2 and the image analysis device 12 to determine the position 8 (placement of the game coins 9 placed by each player 6, whether it is placed on P, B, or PAIR), type (the game coins 9 are assigned different values ​​according to each color), and number of coins. It can also detect which player 6 placed the coin on P (if there are multiple players 6 placed on P, the player 6 who placed the highest value), and which player 6 placed the coin on B (if there are multiple players 6 placed on B, the player 6 who placed the highest value).

[0130] Furthermore, the control device 14 of the cheat detection system for this game, according to the rules of a certain card game, analyzes the information obtained by the image analysis device 12 using the camera 2 through the methods described above, and monitors the system. It performs the monitoring shown in 1) to 5) above to determine whether cheating has violated the rules. When cheating is detected, the card dispensing detection device 14C activates the abnormality indicator lights 16 installed on both the card dispensing device 3 and the game table 4, and outputs the detection of cheating to the casino management department, etc., wirelessly or via wired connection 15. It is also possible to further have monitors or lights in other locations that receive the judgment results and issue warnings or displays.

[0131] As described above, when cheating is detected by the control device 14, a display signal is sent to the indicator light 13 or the abnormal indicator light 16 of the card dispensing device 3 at the time of detection or at an appropriate moment. However, in addition to issuing a warning, the card dispensing device 3 may also activate the card dispensing prevention function after the time of detection of cheating or error to prevent the dispensing of card 1.

[0132] The following uses Figures 15 to 19 An embodiment of the card dispensing device 3 used in the tabletop game system of the present invention will be described. The card dispensing device 3 includes: a card storage section 102 that stores multiple shuffled game cards 1s; a card guiding section 105 that guides the shuffled game cards 1 one by one manually drawn from the card storage section 102 by the dealer 5 or others onto the game table 4; an opening section 106 for removing the cards 1 guided by the card guiding section 105; a card detection section (card detection sensors 22 and 23) that detects the removal of the shuffled game cards 1; a card reading section 108 that reads information indicating at least one number (card face value) of the shuffled game cards 1; and a control section 109 that, based on the information provided by the card storage section 102, guides the shuffled game cards 1. The card reading unit 108 sequentially reads the number (card size) of the shuffled game cards 1 and determines the winner of the card game; the result display light 13 displays the winner determined by the control unit 109; the dispensing restriction device 30 is provided at the opening 106 to restrict the cards 1 from entering and leaving the card receiving unit 102; and the management control unit 114 has the same function as the control device 14. These are integrated and have the following function: if the control device 14 detects an error or cheating by the dealer in the game, it prevents cards from being drawn from the card dispensing device 3 after the time point when the error or cheating is detected or at a predetermined time.

[0133] Next, use Figure 17 , 16The dispensing restriction device 30, which restricts the entry and exit of cards 1 in the card receiving section 102, will be described. The dispensing restriction device 30 is provided on the card guide 107 of the card guide section 105, which guides cards 1, taken one by one from the opening 106 at the front of the card receiving section 102, onto the game table 4. The dispensing restriction device 30 is configured such that when a card 1 passes through the slit 33 between the card guide section 105 and the guide cover of the card guide 107, a locking member 34 presses down on the card 1 to prevent the card 1 from entering or exiting the slit 33. The locking member 34 is driven by a solenoid or piezoelectric element, etc., and can move in two states, as shown by arrow m: a position where the card 1 is pressed (restricted 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 means, causing the locking member 34 to move between two states: the position where the card 1 is pressed and the passable position where the card 1 can pass through. The control unit 109 pre-programs and stores the rules of a certain card game.

[0134] Next, using Figure 18B A variation of the dispensing restriction device 30 will be described. In this variation, the dispensing restriction device 40 has the following structure: when the card 1 passes through the slit 33 between the card guide 105 and the card guide 107 (guide cover), the locking member 36 protrudes into the slit 33 to prevent the card 1 from moving. The locking member 36 is driven by a drive unit 37, such as an electromagnetic solenoid or piezoelectric element, to move in two states: a position that prevents the card 1 from moving (restricted position) and a passable position that allows the card 1 to pass, as shown by arrow m. 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 two states: the position that prevents the card 1 from moving and the passable position that allows the card 1 to pass.

[0135] Next, the details of the code reading unit 108, which reads the code 52 representing the number (number, card size) of card 1 from card 1 when card 1 is manually removed from card storage unit 102, will be explained. Figure 17This is a top view of the main components of the card dispensing device 3. In the figure, a code reading unit 108 is provided on the card guide unit 105, which guides manually removed cards 1 one by one from the opening 106 at the front of the card receiving unit 102 onto the game table 4. The card guide unit 105 is an inclined surface, and card guides 107, which also serve as sensor covers, are installed on both sides of its edges. Furthermore, each of the two card guides 107 can be installed and removed using screws or the like (not shown). Removing the card guides 107 exposes the sensor group 115 of the code reading unit 108. The sensor group 115 consists of four sensors: two ultraviolet (UV) sensors 20 and 21, and object detection sensors 22 and 23.

[0136] Object detection sensors 22 and 23 are fiber optic sensors that detect the presence or absence of card 1 and can detect the movement of card 1. Object detection sensor 22 is located upstream of card guide 105 along the moving direction of card 1, and another object detection sensor 23 is located downstream. As shown in the figure, the two object detection sensors 22 and 23 sandwich UV sensors 20 and 21 on the upstream and downstream sides. UV sensors 20 and 21 are equipped with an LED (ultraviolet LED) that emits ultraviolet light and a detector. On card 1, the mark M of code 52 is printed using ultraviolet light-emitting ink that emits color when exposed to ultraviolet light. When ultraviolet light (near ultraviolet light) shines on card 1, the detector detects the reflected light of the mark M of code 52 on card 1. UV sensors 20 and 21 are connected to code reading unit 108 and control unit 109 via cables. In code reading unit 108, the combination of marks M is determined based on the output signal of the detector of UV sensors 20 and 21, and the number (card face size) corresponding to each code 52 is determined.

[0137] For the code reading unit 108, the control unit 109 controls the start and end of the reading by the UV sensors 20 and 21 based on the detection signals from the object detection sensors 22 and 23. Furthermore, the control unit 109 also determines whether the card 1 has passed through the card guide unit 105 normally based on the detection signals from the object detection sensors 22 and 23. Figure 19 As shown, quadrilateral markers M, representing the card's face value (number) and suit (hearts or spades, etc.), are arranged in 2 columns and 4 rows along the edge of card 1. If UV sensors 20 and 21 detect marker M, they output an ON signal. In the code reading unit 108, the relative relationship between the two signals input from the two UV sensors 20 and 21 is determined. Therefore, the code reading unit 108 determines the code based on the relative differences between the two markers M detected by the two UV sensors 20 and 21, thus determining the corresponding card 1's face value (number) and suit (type).

[0138] exist Figure 19The diagram shows the relationship between code 52 and the outputs of the ON signals of the two UV sensors 20 and 21. Based on the comparison of the relative changes in the outputs of the ON signals of the UV sensors 20 and 21, a specific combination of marker M can be determined. As a result, if there are four combinations of marker M in the upper and lower columns, and they are printed in four columns, then four to the power of four, totaling 256 codes, can be constructed. The 52 types of game cards are assigned to one of the 256 codes, and this is stored as a lookup table in a memory or program. The code reading unit 108 is configured to determine the number (card size) and type (suit) of card 1 by determining each code 52, according to a pre-set lookup table (not shown). Furthermore, a correspondence can be established between the 256 codes and the 52 cards in a free combination manner, stored through a lookup table. Therefore, the combinations are complex, allowing the combinations of the 256 codes and 52 cards to vary depending on time and place. The code is preferably printed using a paint that is visible when exposed to ultraviolet light, in a position that does not overlap with the card's type designation and index 103.

[0139] Furthermore, in the above embodiments, the image analysis device 12 and the control device 14 are devices with artificial intelligence-efficient or deep learning structures. However, specifically, the image analysis device 12 and the control device 14 can perform image analysis and the aforementioned various controls using scale-invariant feature transform (SIFT) algorithms, convolutional neural networks (CNNs), deep learning, machine learning, or similar methods. These techniques are for image recognition of camera images to identify objects contained within the images. In particular, in recent years, deep learning techniques that utilize multi-layered neural networks have been used to identify objects with high accuracy. This deep learning technique generally achieves high-accuracy object identification by overlapping layers across multiple stages in the intermediate layers between the input and output layers of the neural network. Among these deep learning techniques, convolutional neural networks, in particular, have attracted attention because they have higher performance than object identification based on existing image feature quantities.

[0140] In convolutional neural networks (CNNs), labeled images of objects are learned, and the main objects contained within these images are identified. When multiple main objects exist within the learning image, they are designated using rectangular regions, and labels are assigned to the images corresponding to these designated regions for learning. Furthermore, the CNN can then determine the main objects within the image and their locations.

[0141] To further explain convolutional neural networks, in the object recognition process, edge extraction and other processing are performed on the image of the object to be recognized. Based on local features, candidate regions are extracted. These candidate regions are then input into the convolutional neural network, and classification is performed based on the extracted feature vectors. The candidate region with the highest confidence level is obtained as the recognition result. Confidence level refers to how much higher the similarity between a given image region and the main body of the image learned along with the label is compared to other levels of similarity.

[0142] Furthermore, devices having artificial intelligence-efficient or deep learning structures are described in U.S. Patent No. 9,361,577, U.S. Patent Publication No. 2016-171,336, U.S. Publication No. 2015-036,920, and Japanese Patent Publication No. 2016-110,232, and these descriptions are incorporated herein by reference.

[0143] The above describes various embodiments of the present invention. However, those skilled in the art can certainly modify the above embodiments within the scope of the present invention, and the device of this embodiment can be appropriately modified according to the needs of the applicable game.

[0144] Symbol explanation: 1. Game cards 1s multiple shuffled game cards 2 Surveillance cameras 3. Card dispensing device 4. Game table 5. Dealer 6. Guests (game participants / players) 7 chairs 8 Placement Area 9 game coins 10 regions 10P P area 10B Area 11 Game recording device 12 Image Analysis Device 13 Result Display Lights 14 Control device 14C Card Issuance Detection Device 15. Output (anomaly detection results, etc.) 16 Abnormal Indicator Lights 30 Issuance restriction device 33 Slits 34 Locking components 35 Drive Unit 36 Locking components 37 Drive Unit 40 Issuance restriction device 102 Card Storage 103 Index 105 Card Guidance Department 106 Opening 107 Card Guide 109 Control Department 112 Side monitor.

Claims

1. A cheating detection system for an amusement park with multiple game tables, comprising: A game recording device that records the state of the game being played at the game table as video using a camera; An image analysis device that performs image analysis on the recorded game state images; A win / loss determination device that determines the win / loss results of each game on the game table; and A control device that uses the image analysis results of the image analysis device and the win / loss result determined by the win / loss result determination device to detect cheating behavior at the game table; The control device, with the aid of the image analysis device, can determine the position, type, and number of game coins placed by each player, and also the total amount of game coins in the dealer's coin tray at the game table. The total amount of game coins in the game coin tray before each game's settlement is added to and subtracted from the increase or decrease in game coins calculated based on the position, type, and number of game coins placed by all players in the game and the game's win or loss result obtained by the win or loss result determination device. The total amount of game coins in the game coin tray after the game's settlement at the end of the game is then 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, and it is determined whether there is a difference between the expected total amount and the actual total amount.

2. The cheating detection system according to claim 1, wherein, The control device, with the aid of the image analysis device, determines the position, type, and number of game coins placed by each player. At the end of the collection of all lost game coins placed by each player, it determines the actual total amount of game coins in the game coin tray. It adds the increase in the game coin tray for that game to the total amount of game coins in the game coin tray before the settlement of each game, based on the position, type, and number of game coins placed by the losing players. This is the expected total amount of game coins in the game coin tray. It then compares this 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.

3. The cheating detection system according to claim 2, wherein, The control device will calculate the expected total amount of game coins in the game coin tray before each game's settlement by adding the game coin tray's allowance based on the position, type, and number of game coins placed by the losing player. This expected total amount will be compared with the actual total amount of game coins in the game coin tray. If there is no difference between the expected and actual total amount, the control device will further compare the expected total amount of game coins in the game coin tray after the game ends with the actual total amount of game coins in the game coin tray at the end of the game, obtained through the image analysis device. If there is a difference between the expected and actual total amount, a payment error will be determined, and a payment error signal will be generated to notify the user of the payment error.

4. The cheating detection system according to claim 2, wherein, The game coin tray includes a coin collection tray for temporarily storing and collecting game coins placed by losing players. The image analysis device and the control device compare the expected amount of game coins in the coin collection tray, calculated based on the location, type, and number of game coins placed by the losing player, with the actual total amount of game coins in the coin collection tray to determine whether there is a discrepancy between the expected total amount and the actual total amount in the coin collection tray.

5. The cheating detection system according to claim 1, wherein, The actual total amount of game coins in the game coin tray after the game ends, as determined by the image analysis device, is obtained at any of the following times: 1) Upon the end of the repayment period for won game currency; 2) When the cards used in the game are recycled and discarded in the discard area of ​​the table; 3) When the specified button attached to the win / loss result determination device is pressed; 4) When the symbols indicating wins and losses are restored.

6. The cheating detection system according to any one of claims 1 to 3, wherein, In order to analyze the game recorder's record of the game when the control device determines that the actual total amount of game coins held in the dealer's coin tray at the game table does not correspond to the increase or decrease of game coins calculated based on the total amount of game coins placed by all players and the winning or losing result of the game, the game recorder is configured to index or time the acquired images, or to determine and reproduce the scene of game coin collection or payment.

7. The cheating detection system according to any one of claims 1 to 3, wherein, The image analysis or control device is configured to obtain information about the type, number, and location of the game coins even when multiple game coins placed on the game table are partially or entirely hidden due to the blind spot of the camera.

8. The cheating detection system according to claim 1, wherein, The control device is configured to perform the following actions: 1) Determine the location, type, and quantity of game coins placed at each play area of ​​the game table. Compare the player's win / loss history and the amount of game coins earned from each game's results with past game statistics to identify and address any anomalies. 2) When the amount of game coins placed when losing is less than the amount of game coins placed when winning at the game table's play position, compare this state with past game statistics and extract it as an anomaly.

9. The cheating detection system according to any one of claims 1 to 3, wherein, The control device can compare and determine the amount of game coins held in the dealer's coin tray at the game table, and whether a deduction is made after exchanging banknotes for game coins based on the payment amount of the game coins corresponding to the exchanged banknotes, or the payment amount of the banknotes corresponding to the exchanged game coins.

10. The cheating detection system according to claim 9, wherein, The control device also has a database that stores historical records of exchanging banknotes for game coins. It can compare and determine, at certain intervals or on a daily basis, the amount of game coins held in the dealer's game coin tray at the game table, whether the amount has been reduced based on the payment amount of game coins corresponding to the exchanged banknotes, or the total amount of payment of banknotes corresponding to the exchanged game coins.

11. The cheating detection system according to claim 1 or 8, wherein, The control device can use the image analysis device to determine the player's playing position as extracted as the difference or abnormal situation.

12. The cheating detection system according to claim 11, wherein, The control device has a warning function that notifies the other game table of the presence of the specific player when the determined player leaves his / her seat and goes to sit at another game table.

13. The cheating detection system according to any one of claims 1 to 3, wherein, The control device also has the function of determining at least one of the following: 1) In each game, from the time the starting cards are drawn or from the start of the dealer's game until the game's outcome is displayed by the card-distributing device, are there any changes in the game currency? 2) After each game ends, during the period when the dealer is collecting the game coins placed by the losers among the game participants, did the losers fail to collect their game coins? 3) After each game ends, during the period when the dealer is collecting the game coins placed by the losers among the game participants, are additional game coins added? 4) After each game, did the dealer pay out the winning coins placed by the players? 5) After each game, did the winner among the participants take the game coins that were placed and the game coins that were paid out? 14. The cheating detection system according to any one of claims 1 to 3, wherein, The win / loss determination device is either a card dispensing device that dispenses cards at the game table, or a control device that determines the win / loss outcome of each game based on information from an image analysis device that reads the cards dispensed at the game table using a camera.

Images