Entertainment table system

Abstract

The invention provides a novel entertainment table system which recognizes which player is placed on an entertainment table through image recognition. A gaming table system (101) is provided with: a first mapping unit (133) that maps a game coin (506) and a player (503) on the basis of the recognized position of the game coin (506) and the body of the player (503); an ID determination unit (134) that determines the player ID of the player (503) seated on the entertainment table (501); a combination determination unit (136) that determines a combination of the player ID and the reference image of the player (503); a second mapping unit (137) that specifies the player ID of the player (503) displayed in the image on the basis of the determined plurality of combinations, and maps the player ID to the player (503) displayed in the image; and a coin operation player identification unit (138) that identifies the player ID of the player (503) who has operated the coin (506) on the basis of the map between the player (503) and the player ID displayed in the image and the map between the player (503) and the coin (506).

Description

[0001] Cross-references between related applications

[0002] This application claims the benefit of patent application No. 2023-13505 filed in Japan on January 31, 2023, the contents of which are incorporated herein by reference. Technical Field

[0003] The present invention relates to a gaming table system suitable for a gaming table for playing games using gaming tokens. Background Art

[0004] Conventionally, a system has been proposed for identifying tokens placed by players at a gaming table where games using tokens are played. Furthermore, a system has also been proposed for identifying players playing games at a gaming table. By associating identified tokens with identified players, the amount placed by each player can be identified, enabling customer ratings and cheating detection.

[0005] However, in previous systems, if one wanted to build a system that could identify which player placed which game coin by performing image recognition by capturing the placed game coins and the player who placed the game coins with a camera, it would be necessary to learn the player's image in advance in order to identify the player.

[0006] In practice, it is difficult to prepare and learn such training images for all possible players who play at a casino. Furthermore, even if images of all possible players are learned, the processing burden of actually identifying players increases if all learned players are used as targets. Summary of the Invention

[0007] The present invention has been made in view of the above-mentioned problems, and an object of the present invention is to provide a novel gaming table system that uses image recognition to identify which player has made what bet on a gaming table.

[0008] A gaming table system according to one embodiment of the present invention is configured as follows: the gaming table system comprises: a first camera for photographing gaming coins placed on a gaming table in a casino; a gaming coin recognition mechanism for identifying the position, type and number of gaming coins on the gaming table by performing image recognition using artificial intelligence technology on the image photographed by the first camera; a second camera for photographing a player playing a game on the gaming table and generating an image; a body recognition mechanism for identifying the body of the player playing the game on the gaming table by performing image recognition using artificial intelligence technology on the image photographed by the second camera; a first mapping mechanism for mapping the gaming coins identified by the gaming coin recognition mechanism with the player whose body is identified by the body recognition mechanism based on the position of the gaming coins identified by the gaming coin recognition mechanism and the body of the player identified by the body recognition mechanism; an ID determination mechanism for determining the player ID of the player sitting at the gaming table; a reference image acquisition mechanism for acquiring a reference image of the player sitting at the gaming table; and a combination determination mechanism for determining the position of the gaming coins identified by the gaming coin recognition mechanism and the body of the player identified by the body recognition mechanism. a combination of the player ID of the player determined by the ID determination mechanism and the reference image of the player acquired by the reference image acquisition mechanism; a second mapping mechanism, which determines the player ID of the player displayed in the image taken by the second camera based on the multiple combinations determined by the combination determination mechanism for the multiple players sitting at the game table, and maps the determined player ID with the player displayed in the image taken by the second camera; a game coin operation player determination mechanism, which determines the player ID of the player who operates the game coin based on the mapping of the player and the player ID performed by the second mapping mechanism and the mapping of the player and the game coin performed by the first mapping mechanism; and a recording mechanism, which stores the player ID determined by the game coin operation player determination mechanism in association with the type and number of the game coins identified by the game coin identification mechanism, or records the player ID determined by the game coin operation player determination mechanism in association with the total amount obtained based on the type and number of the game coins identified by the game coin identification mechanism.

[0009] In the above-mentioned gaming table system, the ID determining unit may determine the player ID by reading the player ID of the player sitting at the gaming table from a membership card of the player.

[0010] In the above-mentioned gaming table system, the ID identification unit may identify the player ID of the player sitting at the gaming table by performing image recognition using artificial intelligence technology on an image obtained by photographing the player sitting at the gaming table.

[0011] In the above-mentioned gaming table system, the reference image acquisition unit may acquire, as the reference image of the player, an image used by the ID determination unit to determine the player ID.

[0012] In the above-mentioned gaming table system, when the player ID of the player sitting at the gaming table cannot be determined through the image recognition, the ID determination mechanism may use other images captured by the second camera before and after the image to determine the player ID of the player displayed in the other images.

[0013] The above-mentioned game table system may further include a database that stores the player IDs of registered players in association with reference images, and the combination determination unit may determine the combination of the player ID and the reference image by referring to the database using the player ID determined by the ID determination unit.

[0014] In the above-mentioned gaming table system, the reference image acquisition unit may acquire the reference image of the player by photographing the player whose player ID is determined by the ID determination unit.

[0015] In the above-mentioned gaming table system, with respect to an image obtained by photographing a player whose player ID is determined by the ID determination mechanism, the reference image acquisition mechanism may accept the dealer's designation of the player and crop a portion of the image of the designated player to obtain the reference image of the player. For this player, the combination determination mechanism may combine the player ID determined by the ID determination mechanism with the reference image of the player obtained by the reference image acquisition mechanism.

[0016] In the above-mentioned gaming table system, with respect to an image obtained by photographing a player whose player ID is determined by the ID determination mechanism, the reference image acquisition mechanism may acquire an image of a player that is not mapped by the second mapping mechanism as the reference image of the player, and with respect to the player, the combination determination mechanism may combine the player ID determined by the ID determination mechanism with the reference image of the player obtained by the reference image acquisition mechanism.

[0017] The above-mentioned gaming table system may also be provided with a database that stores the player IDs of registered players in association with reference images. When a player whose player ID and reference image are not stored in the database sits at the gaming table, the ID determination mechanism may read the player ID of the player from the membership card of the player for new registration, thereby determining the player ID of the player. The reference image acquisition mechanism may acquire the reference image of the player by photographing the player whose player ID is determined by the ID determination mechanism. The database may store the player ID of the newly registered player determined by the ID determination mechanism in association with the reference image of the player acquired by the reference image acquisition mechanism. After the player is registered in the database, the combination determination mechanism may refer to the database to determine the combination for the player sitting at any of the gaming tables in the casino.

[0018] In the above-mentioned gaming table system, the reference image acquisition unit may acquire a plurality of reference images for the same player, and the combination determination unit may combine the plurality of reference images with the same player ID.

[0019] In the above-mentioned gaming table system, the reference image acquisition mechanism can acquire a new reference image of the player after the combination determination mechanism has determined the combination of the player ID and the reference image for the player, and the combination determination mechanism can replace the reference image combined with the player ID with the new reference image.

[0020] In the above-mentioned gaming table system, the combination determining mechanism may exclude the combination of the player who has left the gaming table from the combinations used for mapping by the second mapping mechanism.

[0021] In the above-mentioned gaming table system, the second mapping mechanism may determine players that may be present in the casino, use the combination of determined players as candidates, and map the determined player IDs with the players displayed in the image captured by the second camera.

[0022] In the above-mentioned gaming table system, the second mapping unit may also determine the player ID of the player displayed in the image captured by the second camera based on the combination determined by the combination determination unit for multiple players sitting at other gaming tables in the casino.

[0023] In the above-mentioned gaming table system, if the determined player ID cannot be mapped to the player displayed in the image captured by the second camera, the second mapping mechanism may use other images captured by the second camera before and after the image to map the player displayed in the other images to the determined player ID.

[0024] The above-mentioned gaming table system may further include a database that stores player IDs of registered players in association with reference images, and the reference image acquisition unit may refer to the database to determine the reference image of the player displayed in the image captured by the second camera.

[0025] The above-mentioned gaming table system may further include: a display unit that displays the reference image determined by the reference image acquisition unit; and an input acceptance unit that accepts the dealer's input of approval or rejection of the reference image displayed on the display unit. The reference image acquisition unit may capture the reference image of the player who accepts the rejection input through the input acceptance unit, and store the reference image in the database in association with the player ID of the player.

[0026] In the above-mentioned gaming table system, the gaming coin recognition mechanism may include: a first gaming coin recognition mechanism, which recognizes the position of the gaming coins based on an image generated by photographing the gaming coins on the gaming table; and a second gaming coin recognition mechanism, which recognizes the type and number of gaming coins based on an image generated by photographing the gaming coins on the gaming table.

[0027] In the above-mentioned game table system, the game coin identification mechanism can identify the position, type and number of the game coin by reading the RFID tag embedded in the game coin, the body recognition mechanism can identify the position of the player playing the game on the game table based on the image, and the first mapping mechanism can map the player and the game coin based on the position of the player identified by the body recognition mechanism and the position of the game coin identified by the game coin identification mechanism. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 FIG. 1 is a diagram showing a gaming table in a casino to which the gaming table system according to an embodiment of the present invention is applied;

[0029] Figure 2 is a block diagram showing the configuration of a gaming table system according to a first embodiment of the present invention;

[0030] Figure 3 FIG. 1 is a diagram showing an example of a first image captured by a first camera according to the first embodiment of the present invention;

[0031] Figure 4 1. FIG. 1 is a diagram showing a detection result of a game coin stack by a game coin recognition unit according to the first embodiment of the present invention;

[0032] Figure 5 1. FIG. 1 is a diagram showing an example of a partial image of a coin stack detected by a coin recognition unit according to the first embodiment of the present invention;

[0033] Figure 6 1. It is a diagram showing the result of body recognition by the body recognition unit according to the first embodiment of the present invention;

[0034] Figure 7 FIG. 1 is a diagram showing a second image onto which a detection frame of a gaming token is mapped according to an embodiment of the present invention;

[0035] Figure 8 1 is a diagram showing the result of mapping players and player IDs by the second mapping unit according to the first embodiment of the present invention;

[0036] Figure 9 This figure shows the result of mapping a stack of game tokens and a player ID using the token-operating player identification unit according to the first embodiment of the present invention;

[0037] Figure 10 is a block diagram showing the configuration of a gaming table system according to a second embodiment of the present invention;

[0038] Figure 11 is a block diagram showing the configuration of a gaming table system according to a third embodiment of the present invention;

[0039] Figure 12 is a block diagram showing the configuration of a gaming table system according to a fourth embodiment of the present invention;

[0040] Figure 13 This is a block diagram showing the configuration of a gaming table system according to a fifth embodiment of the present invention. DETAILED DESCRIPTION

[0041] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. It should be noted that the embodiments described below are examples of how the present invention may be implemented, but the present invention is not limited to the specific structures described below. When implementing the present invention, specific structures corresponding to the embodiments may be appropriately adopted.

[0042] (First embodiment)

[0043] Figure 1 FIG. 1 is a diagram showing a gaming table in a casino to which the gaming table system according to the first embodiment of the present invention is applied. Figure 1As shown, a dealer 502 is located on one side of a gaming table 501, and a plurality of players 503 are seated at the gaming table 501 facing the dealer 502. A coin tray 504 for storing game coins for the dealer 502 is provided in front of the gaming table 501, and a player seat 505 is provided on one side of each player 503.

[0044] Each player position 505 is provided with a placement area 507 for placing game coins (hereinafter referred to as "coins") 506 for the player 503 seated at that player position 505. In this embodiment, the gaming table 501 is a card game table, and the placement area 507 of each player position 505 is divided into multiple placement objects, such as P, B, and TIE.

[0045] The gaming table 501 is provided with a first camera 11 for photographing gaming coins 506 on the gaming table 501, and a second camera 12 for photographing the players 503 and the gaming coins 506. The first camera 11 and the second camera 12 are mounted on a pole provided on the gaming table 501, and photograph the gaming coins 506 on the gaming table 501 from an oblique angle above.

[0046] In addition, the gaming table 501 is provided with a touch panel 15 for the dealer 502 to perform touch operations.

[0047] Figure 2 1 is a block diagram showing the configuration of a gaming table system according to a first embodiment of the present invention. Figure 2 As shown, the gaming table system 101 of this embodiment includes a first camera 11, a second camera 12, an algorithm 13, a card reader 14, a touch panel 15, and a storage device 16. The algorithm 13 includes a coin recognition unit 131, a body recognition unit 132, a first mapping unit 133, an ID identification unit 134, a reference image acquisition unit 135, a combination determination unit 136, a second mapping unit 137, and a coin-operating player identification unit 138. It should be noted that the various functions of the algorithm 13 can be implemented by executing the computer program of this embodiment on a computer composed of a processor, a memory, and a storage device.

[0048] The first camera 11 captures gaming coins 506 placed on the gaming table 501 and generates a first image. The first camera 11 captures the gaming table 501 from an obliquely upward position, which has multiple placement areas 507. As viewed from the first camera 11, the first image shows multiple placement areas 507 in the depth direction, along with stacks of gaming coins 506 that are relatively close together, resulting in a wide overhead view, and stacks of gaming coins 506 that are relatively far away, resulting in a narrow overhead view. The first camera 11 can capture and generate continuous images, or it can capture and generate images in response to a predetermined trigger.

[0049] The second camera 12 captures a player 503 playing at a gaming table 501 and a gaming token 506 placed on the gaming table 501, thereby generating a second image. Specifically, the second camera 12 is configured with a shooting direction and angle of view to capture the face of the player 503 playing at the gaming table 501.

[0050] It should be noted that the first camera 11 and the second camera 12 are separately installed on different poles on the left and right sides, but the first camera 11 and the second camera 12 can also be installed on the same pole on the top and bottom sides.

[0051] The card reader 14 is operated by the dealer 502 and reads the player ID from the membership card received from the player 503 sitting at the gaming table 501. The membership card is issued to the player 503 who has registered as a member and stores the player ID.

[0052] The touch panel 15 is provided in front of the dealer 502 so that the dealer 502 can check various information. Figure 1 In the example shown, the touch panel 15 is embedded in the gaming table 501. However, the touch panel 15 may be installed vertically on the gaming table 501 instead of being embedded in the gaming table 501. The touch panel 15 has the function of receiving touch input. In particular, as described later, when the dealer 502 specifies the player 503 whose membership card has been read, the touch panel 15 receives touch input from the dealer 502. In other words, the touch panel 15 can function as both a display mechanism and an input receiving mechanism.

[0053] Figure 3 1 is a diagram showing an example of a first image captured by a first camera according to a first embodiment of the present invention. Figure 3 As shown, in the first image 110 , a plurality of players 503 sitting at a gaming table 501 are displayed, and stacks of tokens 506 (token stacks) placed by these players 503 on a placement area 507 are displayed.

[0054] As described above, the first camera 11 captures multiple placement areas 507 from an obliquely upward direction, thereby displaying the top surface of the topmost game coin 506 in the stack and the side surfaces of all game coins 506 in the stack in the first image 110. Furthermore, the first image 110 displays relatively nearby and relatively distant placement areas 507, as well as the game coins 506 placed in these placement areas 507. Game coins 506 in the relatively distant stack appear smaller, while game coins 506 in the relatively nearby stack appear larger.

[0055] The coin recognition unit 131 uses artificial intelligence technology to perform image recognition on the first image 110 captured by the first camera 11 to identify the position, type, and number of coin tokens 506 on the gaming table 501. To this end, the coin recognition unit 131 includes a first coin recognition unit that identifies the position of the coin tokens 506 based on the first image 110, and a second coin recognition unit that identifies the type and number of the coin tokens 506 based on the first image 110. The first coin recognition unit detects a stack of coin tokens based on the first image 110, thereby determining the stack's position on the gaming table 501.

[0056] Figure 4 1 is a diagram showing the detection result of the game coin identification unit on the game coin stack according to the first embodiment of the present invention. Figure 4 As shown, the first game coin recognition unit of the game coin recognition unit 131 encloses the area of ​​the game coin stack in the first image 110 with a rectangular detection frame, thereby cutting out a portion of the image of the game coin stack. If the game coin stack is located in the placement area 507, the first game coin recognition unit determines which placement object in the placement area 507 the game coin stack is located. Specifically, for example, the first game coin recognition unit estimates the center position of the game coin 506 detected at the bottom of the game coin stack and determines which placement object area on the gaming table 501 the center position belongs to.

[0057] Figure 5 1 is a diagram showing an example of a partial image of a game coin stack detected by the game coin recognition unit of the first embodiment of the present invention. The game coin 506 of this embodiment has a center line on the side. The color of the center line indicates the type (value) of the game coin 506. Therefore, the second game coin recognition unit of the game coin recognition unit 131 detects the center line based on the partial image of the game coin stack and determines its color. Thus, the second game coin recognition unit determines the number of game coins 506 based on the number of detected center lines, and determines the type of each game coin 506 based on the color of the detected center line.

[0058] It should be noted that in this embodiment, the game coin identification unit 131 determines the position of the stack of game coins 506 through the first game coin identification unit as described above, and determines the type and number of game coins 506 in each stack through the second game coin identification unit, but as an alternative, the game coin identification unit 131 can use a recognition engine to determine the position of the stack of game coins 506 for gaming, and determine the type and number of game coins 506 in the stack.

[0059] The body recognition unit 132 identifies the body of the player 503 playing at the gaming table 501 by performing image recognition using artificial intelligence technology on the second image captured by the second camera 12. The second camera 12 continuously captures images at a predetermined frame rate, thereby generating a series of second images arranged in chronological order. The body recognition unit 132 performs image recognition on each of these second images to identify the body of the player 503.

[0060] Figure 6 FIG is a diagram showing the result of body recognition by the body recognition unit of the first embodiment of the present invention. Figure 6 In the figure, for the sake of convenience, the second image 120 having the same content as the first image 110 is illustrated as an example. However, as described above, the first camera 11 and the second camera 12 are set at different positions and directions. Therefore, the first image 110 and the second image 120 do not actually generate images with the same content.

[0061] The body recognition unit 132 tracks the posture of the second image 120 to detect the predetermined characteristic parts of the body (face (center of both eyes), shoulders, elbows, wrists, fingers of both hands) of each player 503 and generates a skeleton model of the player 503. Figure 6 In the figure, the black dots represent the detected characteristic parts of the player 503's body. By connecting the black dots, a skeleton model is generated for each player 503. Any existing technology can be used for this posture tracking. The body recognition unit 132 also detects the player 503's face and surrounds it with a rectangular detection frame as a part of the player 503's body. For each player 503, this detection frame is combined with the skeleton model to identify the player 503 as the body.

[0062] Based on the position of the gaming coin 506 identified by the gaming coin recognition unit 131 and the body of the player 503 identified by the body recognition unit 132, the first mapping unit 133 maps the gaming coin 506 identified by the gaming coin recognition unit 131 with the player 503 whose body is recognized by the body recognition unit 132. To this end, the first mapping unit 133 maps the detection frame of the gaming coin 506 detected based on the first image 110 to the second image 120 in which the body is recognized. This mapping can also be performed based on the alignment of the first camera 11 and the second camera 12, for example, using the placement area 507 in the image as a reference for the mapping. It should be noted that the first mapping unit 133 can also, conversely, map the skeletal model recognized in the second image 120 and the detection frame of the detected face to the first image 110.

[0063] Figure 7This figure shows a second image onto which a detection frame for a gaming coin is mapped, according to an embodiment of the present invention. The first mapping unit 133 maps the detection frame of the gaming coin 506 at the moment the gaming coin 506 appears in the first image 110, from among the first images 110 captured continuously in chronological order, to the second image 120 at that moment. Alternatively, the first mapping unit 133 may map the detection frame of the gaming coin 506 detected in the first image 110 to the second image 120 at that moment, even if the position of the detection frame remains unchanged.

[0064] In the second image 120, which includes the detection frame of the game coin 506, the first mapping unit 133 maps the player 503, whose finger is closest to the detection frame of the game coin 506, with the detection frame of the game coin 506. In this way, the first mapping unit 133 maps the game coin 506 identified by the game coin recognition unit 131 with the player 503, whose body is recognized by the body recognition unit 132. It should be noted that at this point, while the content (position, type, and number) of the game coin 506 is mapped to the player 503, this is merely a mapping of the two in the image, and the identity of the player 503 shown in the image cannot be determined, that is, the player ID of the player 503 cannot be determined.

[0065] It should be noted that for Figure 7 For the other stacks of game coins 506 shown, the above mapping is performed in frames at other times.

[0066] The ID identification unit 134 identifies the player ID of the player 503 sitting at the gaming table 501. In this embodiment, the ID identification unit 134 identifies the player ID by reading the player ID of the player 503 sitting at the gaming table 501 from the membership card of the player 503 using the card reader 14 and acquiring the read result from the card reader 14.

[0067] The reference image acquisition unit 135 acquires a reference image of the player 503 seated at the gaming table 501. In this embodiment, the reference image acquisition unit 135 acquires a partial image of the face detected by the body recognition unit 132 and uses it as the reference image of the player 503.

[0068] The combination determination unit 136 determines a combination of the player ID of the player 503 identified by the ID identification unit 134 and the reference image of the player 503 acquired by the reference image acquisition unit 135. Figure 6 As shown, when there are multiple faces in the second image 120, the body recognition unit 132 detects multiple faces. Therefore, in this case, it is impossible to know which player ID read by the card reader 14 is the player ID of the player 503 whose face is detected.

[0069] Therefore, when the dealer 502 reads the player ID from the membership card using the card reader 14, the touch panel 15 will display the detection result of the face from the second image 120 in synchronization with the reading. Figure 6 Regarding the face detection result displayed on the touch panel 15, the dealer 502 clicks the face of the player 503 whose membership card was read to specify the player 503 corresponding to the read player ID (i.e., the player 503 who has newly sat at the gaming table 501).

[0070] The combination determination unit 136 receives the designation from the touch panel 15 and determines a combination of the player ID of the player 503 read from the membership card and the facial image (reference image) of the player 503 .

[0071] The second mapping unit 137 determines the player ID of the player 503 displayed in the second image 120 captured by the second camera 12 based on multiple combinations of player IDs and reference images determined by the combination determination unit 136 for multiple players 503 sitting at the game table 501, and maps the determined player ID with the player 503 displayed in the second image 120 captured by the second camera 12.

[0072] Figure 8 : is a diagram showing the result of mapping players and player IDs by the second mapping unit of the first embodiment of the present invention. Figure 8 As shown, the second mapping unit 137 maps the player 503 identified by the second image 120 to a player ID. To this end, if the body recognition unit 132 detects a face based on the second image 120, thereby obtaining a partial facial image (facial image), the second mapping unit 137 selects a reference image that is closest to the facial image among the multiple reference images obtained by the reference image acquisition unit 135 for the gaming table 501. The second mapping unit 137 then maps the player ID combined with the selected reference image to the face in the partial image.

[0073] The coin-operating player identification unit 138 identifies the player ID of the player 503 who has operated the game coin 506 based on the mapping of the player 503 and the player ID performed by the second mapping unit 137 and the mapping of the player 503 and the game coin 506 performed by the first mapping unit 133. As described above, when the game coin 506 is detected, the player 503 whose finger is closest to the game coin 506 is mapped to the game coin 506 (refer to Figure 7 ), the second mapping unit 137 maps the player ID to the player 503 in the second image 120 (refer to Figure 8 ).

[0074] Figure 9This diagram shows the results of mapping stacks of game tokens 506 with player IDs by the token-operating player identification unit of the first embodiment of the present invention. Based on the mappings performed by the first mapping unit 133 and the second mapping unit 137, the token-operating player identification unit 138 maps stacks of game tokens 506 with player IDs and identifies the player ID of the player 503 who operated (placed) the stack of game tokens 506. This allows identification of the player 503 who placed the stack of game tokens 506 identified on the gaming table 501.

[0075] The storage device 16 stores the player ID determined by the coin-operating player identification unit 138 in association with the type and number of the coin 506 identified by the coin identification unit 131. It should be noted that the storage device 16 may store the total amount of coin 506 based on the type and number in association with the player ID, instead of recording the type and number in association with the player ID. Alternatively, the storage device 16 may store the total amount based on the type and number in association with the player ID in addition to recording the type and number in association with the player ID. This allows the player 503 to understand the amount placed on the gaming table 501, which can be helpful for customer ratings and cheating detection.

[0076] (Second embodiment)

[0077] Figure 10 This is a block diagram showing the structure of a gaming table system according to a second embodiment of the present invention. In this embodiment, the gaming table system 102 determines the player ID of a player 503 seated at a gaming table 501 through facial recognition. Specifically, in this embodiment, the ID determination unit 134 determines the player ID of the player 503 seated at the gaming table 501 by performing image recognition using artificial intelligence technology on an image captured of the player 503 seated at the gaming table 501. To this end, the ID determination unit 134 includes a facial recognition engine that has learned facial images of pre-registered players 503. This facial recognition engine utilizes, for example, deep learning technology or a support vector machine (SVM) as artificial intelligence technology. The image used for facial recognition by the ID determination unit 134 can be captured by the second camera 12.

[0078] The reference image acquisition unit 135 directly acquires the facial image used for facial authentication, captured by the second camera 12, as the reference image. Similar to the first embodiment, the second mapping unit 137 matches the reference image with the facial image by selecting the closest reference image from the second image 120 captured by the second camera 12. However, facial images that do not match any reference image are those for which no reference image has been prepared. Therefore, the ID identification unit 134 performs facial authentication to determine the player ID for facial images that have not been mapped by the second mapping unit 137.

[0079] According to this embodiment, the facial image of player 503 needs to be learned in advance. However, in actual use, when player 503 sits at gaming table 501, there is no need for dealer 502 to present their membership card, nor for dealer 502 to scan the membership card with a card reader, thus achieving efficient operation. In other words, in this embodiment, instead of issuing a membership card, or in addition to issuing a membership card, player 503 can simply be photographed for facial authentication.

[0080] (Third embodiment)

[0081] Figure 11 This is a block diagram showing the configuration of a gaming table system according to a third embodiment of the present invention. In this embodiment, the gaming table system 103 includes a reference image database 17. The reference image database 17 stores the player IDs of registered players 503 in association with reference images. In the first and second embodiments, the reference image acquisition unit 135 acquired a reference image of a player 503 seated at the gaming table 501. However, in this embodiment, players 503 are registered, and the reference image acquisition unit 135 acquires a reference image of a newly registered player 503.

[0082] Furthermore, the reference images of the registered players 503 may be acquired as a plurality of images for each player 503. That is, the reference image database 17 may associate a plurality of reference images taken at different angles with one player 503.

[0083] The combination determination unit 136 then uses the player ID determined by the ID determination unit 134 to refer to the reference image database 17 to determine the reference image associated with the player ID, thereby determining the combination of the player ID and the reference image. It should be noted that in this embodiment, the ID determination unit 134 may determine the player ID by reading a membership card with the card reader 14, as in the first embodiment, or by facial recognition, as in the second embodiment.

[0084] (Fourth embodiment)

[0085] Figure 12 1 is a block diagram showing the structure of a gaming table system according to a fourth embodiment of the present invention. In the above embodiment, the camera for capturing the first image 110 for identifying the type and number of gaming coins 506 and the camera for capturing the second image 120 for tracking the posture of the player 503 are provided as separate cameras. However, in the gaming table system 104 of this embodiment, these cameras may be provided as a single camera (in Figure 12 In the example, it is the second camera 12).

[0086] In this case, the coin recognition unit 131 recognizes the coin 506 by performing image recognition on the second image 120 captured by the second camera 12 , and the body recognition unit 132 also performs image recognition on the same second image 120 to generate a skeleton model and detect the facial area.

[0087] In the above embodiment, the first camera 11 is set to a relatively narrow angle of view to capture the gaming coin 506 placed in the placement area 507 of the gaming table 501, and the second camera 12 is set to a relatively wide angle of view to fully display the face of the player 503 and the hand reaching toward the placement area 507. In the present embodiment, a relatively wide angle of view is also set to fully display the face of the player 503, the hand reaching toward the placement area 507, and the gaming coin 506 placed in the placement area 507. In the present embodiment, the second camera 12 desirably has a sufficiently large number of pixels so that the gaming coin recognition unit 131 can fully recognize the gaming coin 506 even at such a wide angle of view.

[0088] (Fifth embodiment)

[0089] Figure 13 This is a block diagram illustrating the structure of a gaming table system according to a fifth embodiment of the present invention. In the aforementioned embodiment, a camera captures gaming coins 506 placed in a storage area 507 and generates an image. The gaming coin recognition unit 131 performs image recognition on the captured image to identify the position, type, and number of gaming coins 506. In this embodiment, the gaming coins 506 are embedded with RFID tags that can identify the type of the gaming coins. The gaming table system 105 includes a storage area reader 18 in the storage area 507 for reading the RFID tags of the gaming coins 506 placed in the storage area 507.

[0090] The placement area reader 18 consists of an antenna installed on each placement object and a reader that controls the antenna. This allows the RFID tag of the game coin 506 to be read at each player position 505. The game coin identification unit 131 identifies the location of the game coin 506, that is, which placement object at which player position 505 the game coin 506 is located, based on each antenna that reads the RFID tag of the game coin 506. Furthermore, the game coin identification unit 131 identifies the type and number of game coins 506 placed at each placement object based on the information about the type and number of game coins 506 stored in the RFID tags read from each placement object by the placement area reader 18.

[0091] It should be noted that, in this embodiment, although an antenna is provided for each placement object and the game coins 506 placed on each placement object are read separately, the antenna can be provided for each placement area 507. With this structure, the type and number of game coins 506 placed in each placement area 507 can also be identified, and the amount placed by each player 503 can be identified.

[0092] In this embodiment, the body recognition unit 132 recognizes the body of the player 503, similarly to the above-described embodiment, and identifies the player position 505 of the recognized player 503. Furthermore, the first mapping unit 133 maps the player 503 recognized by the body recognition unit 132 with the gaming token 506 recognized by the gaming token recognition unit 131 based on the player position 505 recognized by the body recognition unit 132 and the position of the gaming token 506 recognized by the gaming token recognition unit 131.

[0093] (Sixth embodiment)

[0094] The gaming table system and gaming table system 103 of the sixth embodiment (see Figure 11 ) is provided with a reference image database 17 that stores the player ID of a registered player 503 in association with a reference image. In this embodiment, when a player 503 whose player ID and reference image are not stored in the reference image database 17 sits at the gaming table 501, the ID identification unit 134 reads the player ID of the player 503 from the membership card of the player 503 for new registration, thereby identifying the player ID of the player 503.

[0095] When the ID identification unit 134 identifies the player ID of the newly registered player 503, the reference image acquisition unit 135 captures the player 503 using the second camera 12 to acquire a reference image of the player 503. Furthermore, the reference image database 17 updates the reference image database 17 by storing the player ID of the newly registered player 503 identified by the ID identification unit 134 in association with the reference image of the player 503 acquired by the reference image acquisition unit 135.

[0096] In this embodiment, after the player 503 is registered in the reference image database 17 , the combination determination unit 136 refers to the reference image database 17 to determine a combination of a player ID and a reference image for the player 503 seated at any gaming table 501 in the casino.

[0097] According to this embodiment, for players 503 playing games in a casino, there is no need to take a facial image specifically for registration in the reference image database. After the casino introduces the gaming table system, the player 503 can be registered in the reference image database when sitting at the gaming table 501 for the first time.

[0098] (Seventh embodiment)

[0099] The game table system and the game table system 103 of the seventh embodiment (see Figure 11 ) is provided with a reference image database 17 that stores the player ID of the registered player 503 in association with the reference image. In this embodiment, the reference image acquisition unit 135 refers to the reference image database 17 to identify the reference image of the player 503 displayed in the image captured by the second camera 12.

[0100] The touch panel 15 displays the reference image determined by the reference image acquisition unit 135 and receives an input of approval or rejection of the displayed reference image from the dealer 502. The dealer 502 compares the reference image displayed on the touch panel 15 with the face of the player 503 actually at the gaming table 501. If the face is recognized as the same person, the dealer inputs approval; if the face is recognized as different, the dealer inputs rejection.

[0101] If the reference image acquisition unit 135 receives an approval input via the touch panel 15, the combination determination unit 136 determines a combination of the reference image and the player ID. If the reference image acquisition unit 135 receives a rejection input via the touch panel 15, the reference image acquisition unit 135 captures the player 503 using the second camera 12 to acquire a reference image of the player 503, and stores the reference image in the reference image database 17 in association with the player ID of the player 503. Furthermore, the combination determination unit 136 determines a combination of the reference image and the player ID.

[0102] It should be noted that if the dealer 502 determines that the quality of the reference image displayed on the touch panel 15 is insufficient to be used as a reference image, the dealer 502 can enter a rejection input. Furthermore, even if the dealer 502 determines that the reference image and the actual player 503 are the same person, a rejection input can be entered if there is a significant difference in appearance between the reference image and the actual player 503. In short, if the dealer 502 determines that the reference image in the reference image database 17 should be updated, a rejection input can be entered.

[0103] Through this embodiment, in the case where the baseline image of the player 503 is not registered in the baseline image database 17, or in the case where the baseline image of the player 503 is registered in the baseline image database 17 but the baseline image is to be updated, the image of the player 503 taken on the spot can be re-registered (updated) in the baseline image database 17 as the baseline image of the player 503.

[0104] (Eighth Embodiment)

[0105] In the first embodiment, the first mapping unit 133 maps the detection frame of the game coin 506 at the moment the game coin 506 appears in the first image 110, which is captured continuously in chronological order, with the second image 120 at that moment, thereby mapping the player 503 whose body is recognized by the body recognition unit 132 with the game coin 506. Furthermore, the second mapping unit 137 determines to which of the reference images determined by the combination determination unit 136 the facial image of the player 503 shown in the second image 120 corresponds, thereby mapping the player 503 shown in the second image 120 with the player ID.

[0106] However, the second image 120 is not necessarily an image suitable for matching with the reference image. For example, if the face of the player 503 operating the game coin 506 is not facing forward or is not clearly visible in the second image 120 corresponding to the moment when the game coin 506 appears in the first image 110, the second mapping unit 137 may not be able to match it with the reference image.

[0107] In this case, the second mapping unit 137 can use the second images 120 of the preceding and following frames to match the reference image, rather than the second image 120 corresponding to the moment when the game coin 506 appears in the first image 110. To this end, the second mapping unit 137 tracks the body recognized by the body recognition unit 132 from the second image 120 corresponding to the moment when the game coin 506 appears in the first image 110 to the second image 120 of the frame, thereby maintaining the mapping relationship between the game coin 506 and the body mapped by the first mapping unit 133.

[0108] According to this embodiment, even if the face of the player 503 operating the game coin 506 cannot be displayed to a sufficient extent for the second mapping unit 137 to map it in the second image 120 corresponding to the moment when the game coin 506 appears in the first image 110, the second mapping unit 137 can still determine the player ID of the player 503 operating the game coin 506.

[0109] (About the reference image)

[0110] According to the gaming table system 101 of the first embodiment, the reference image acquisition unit 135 prepares a reference image of the player 503 seated at the gaming table 501. Subsequently, when the player 503 plays a game at the gaming table 501, the second mapping unit 137 uses the initially prepared reference image to identify the player ID of the player 503. Thus, each time the player 503 plays a game, the player 503 can be identified by selecting the corresponding player 503 from among the players 503 for whom the reference image has been prepared at the gaming table 501, without having to identify all registered players 503 as candidates.

[0111] As described above, a reference image of player 503 is prepared when player 503 sits down at gaming table 501. However, the most suitable reference image may not be available at this point in time. Therefore, reference image acquisition unit 135 may replace the original reference image with a facial image of player 503 captured at any point after player 503 begins playing at gaming table 501, or may acquire a new reference image based on this image to update the reference image. Specifically, after combination determination unit 136 has provisionally determined a combination of player ID and reference image for player 503, reference image acquisition unit 135 may acquire a new reference image of player 503.

[0112] When the reference image acquisition unit 135 updates the reference image, the combination determination unit 136 replaces the reference image combined with the player ID with the updated reference image and determines the combination.

[0113] Furthermore, the combination determination unit 136 excludes combinations of players 503 who have left the gaming table 501 from combinations used for mapping by the second mapping unit 137. Specifically, the combination determination unit 136 excludes from combinations reference images that have not been mapped for a predetermined number of consecutive game fields in the second mapping unit 137. This prevents reference images that are no longer needed due to the player 503 leaving the gaming table 501 from being retained as mapping candidates. This reduces the burden on the second mapping unit 137 in mapping processing and increases its speed.

[0114] Conversely, the second mapping unit 137 may determine the player ID of the player 503 displayed in the second image 120 based on the combination determined by the combination determination unit 136 for multiple players 503 seated at other gaming tables 501 within the casino. This configuration eliminates the need to prepare a new reference image each time a player 503 sits at a new gaming table 501, thereby reducing the processing burden. Furthermore, by updating the reference image as described above, it is possible to use an appropriate reference image obtained when the player 503 is at another gaming table 501.

[0115] It should be noted that when determining the player ID of the player 503 in the second image 120, the second mapping unit 137 may use all players 503 who have obtained the reference image at any gaming table 501 within the casino as candidates for mapping. Alternatively, at each gaming table 501, when a player 503 leaves the gaming table 501, the combination determination unit 136 may exclude the player's 503 combination from the candidates for mapping by the second mapping unit 137, store the combination for a certain period of time, and then, when the player 503 sits at another gaming table 501, search the stored combinations for the other gaming table 501 for a combination corresponding to the other gaming table 501 and use the combination for the other gaming table 501.

[0116] (Other Modifications)

[0117] The various functions of the algorithm 13 can be implemented on multiple distributed computers, and some or all of these functions can be implemented in the cloud. Furthermore, the computer programs that implement the various functions of the algorithm 13 can be installed on the computers via a network or a non-transitory storage medium. Furthermore, while the above embodiments describe the gaming table system according to the present invention using a card game table as an example, the gaming table system according to the present invention can be applied to gaming tables other than card game tables.

[0118] Furthermore, in the above embodiment, the game coin 506 has a center line on its side that indicates its type using color, and the game coin identification unit 131 determines the type of the game coin 506 based on the color of the center line. However, instead of, or in addition to, this, a code indicating identification information uniquely identifying the game coin 506 may be indicated on the side of the game coin 506. In this case, the game coin identification unit 131 may determine the identification information of the game coin 506 instead of, or in addition to, determining the type. Furthermore, the gaming table system may include a game coin database, and the type of the game coin 506 may be determined based on the identification information of the game coin 506.

[0119] Furthermore, while the gaming table system of the above embodiment identifies the player 503 who placed (placed) the gaming coin 506 in the placement area 507, the gaming table system may identify the player 503 who removed the gaming coin 506 from the placement area 507, instead of identifying the player 503 who placed the gaming coin 506 in the placement area 507. Alternatively, in addition to identifying the player 503 who placed the gaming coin 506 in the placement area 507, the gaming table system may also identify the player 503 who removed the gaming coin 506 from the placement area 507. In this case, the first mapping unit 133 maps the detection frame of the gaming coin 506 detected in the first image 110 immediately before the gaming coin 506 disappears from the continuously acquired first image 110 onto the second image 120. Alternatively, if the position of the stack of gaming coins 506 recognized in the placement area 507 moves, the detection frame of the gaming coin 506 detected in the first image 110 immediately before the movement may be mapped onto the second image 120.

[0120] With this structure, when the game coins 506 paid to the player 503 who won the game and the game coins 506 placed by the player 503 are taken away by the player 503, the player ID of the player 503 who performed the above-mentioned operation on such game coins 506 can be determined.

[0121] Furthermore, in the first embodiment described above, a screen showing the detection results of the face from the second image 120 is displayed on the touch panel 15, and the combination determination unit 136 receives the dealer 502's designation of a player 503 newly seated at the gaming table 501 and determines a combination of the player ID and the facial image of the player 503 serving as a reference image. In addition to this function, the combination determination unit 136 may also have a function of outputting an alarm if the dealer 502 incorrectly designates the face of the player 503.

[0122] In this case, the gaming table system 101 includes a reference image database 17 that stores mappings between the faces of registered players 503 and their player IDs. If the face of the player 503 designated by the dealer 502 on the touch panel 15 does not match the face of the player 503 stored in the reference image database 17 as the face corresponding to the player ID read by the card reader 14, the second mapping unit 137 executes a warning. The warning may include, for example, displaying a message on the touch panel 15 indicating the low degree of match.

[0123] Furthermore, the gaming table system 103 of the third embodiment includes a reference image database 17. The combination determination unit 136 uses the player ID identified by the ID identification unit 134 to refer to the reference image database 17, identify the reference image associated with the player ID, and thereby determine the combination of the player ID and the reference image. Alternatively, the combination determination unit 136 can use the reference image associated with the identified player ID to select a facial image similar to the reference image from among the multiple facial images extracted from the second image 120. For this selection, the combination determination unit 136 can use a facial recognition model based on deep learning technology or artificial intelligence techniques such as SVMs (Support Vector Machines).

[0124] At this point, the touch panel 15 displays the selected facial image and accepts the dealer 502's approval of the selected facial image. The combination determination unit 136 can use the facial image approved by the dealer 502 as a reference image and combine it with the determined player ID. If the facial image selected by the combination determination unit 136 is the facial image of the player 503 who has just taken a seat at the gaming table 501, the dealer 502 inputs approval into the touch panel 15. If it is not the facial image of the player 503 who has just taken a seat at the gaming table 501, the dealer 502 inputs rejection.

[0125] If the dealer 502 inputs a rejection, the combination determination unit 136 displays the facial image with the second highest score in facial recognition as a candidate on the touch panel 15. If a rejection input occurs, the combination determination unit 136 can use the facial recognition result as a negative example to perform reinforcement learning on the facial recognition model.

[0126] Furthermore, the gaming table system 103 of the third embodiment includes a reference image database 17. The combination determination unit 136 uses the player ID identified by the ID identification unit 134 to refer to the reference image database 17, identify the reference image associated with the player ID, and thereby determine the combination of the player ID and the reference image. In this case, the combination determination unit 136 does not directly use the reference image identified by referring to the reference image database 17. Instead, the combination determination unit 136 displays the reference image as a reference image candidate on the touch panel 15, and after receiving approval from the dealer 502, combines the reference image with the player ID.

[0127] Furthermore, in the gaming table system 102 of the second embodiment, the ID identification unit 134 identifies the player ID of the player 503 seated at the gaming table 501 by performing image recognition using artificial intelligence technology on an image of the player 503 seated at the gaming table 501. A reference image database 17 may be added to the gaming table system 102. Furthermore, the ID identification unit 134 may extract multiple player ID candidates through image recognition, rather than identifying a single player ID through image recognition.

[0128] The combination determination unit 136 uses the multiple player ID candidates identified by the ID identification unit 134 to refer to the reference image database 17, and extracts multiple reference image candidates from the reference image database 17. The touch panel 15 displays the multiple extracted reference images and accepts a selection from the dealer 502. The dealer 502 compares the multiple reference image candidates displayed on the touch panel 15 with the face of the player 503 who has actually newly sat down at the gaming table 501, and selects a reference image on the touch panel 15.

[0129] According to this configuration, even when the accuracy of facial recognition for identifying the player ID of the player 503 is relatively low, the possibility of erroneous identification of the player ID due to an error in facial recognition can be reduced.

[0130] Furthermore, the second mapping unit 137 may identify players 503 that may be present in the casino, use combinations of the identified players 503 as candidates, and map the identified player IDs with the players 503 displayed in the image captured by the second camera 12. Players 503 that may be present in the casino may include, for example, players 503 that have been identified at any gaming table 501 in the casino within a specified time, players 503 that have been confirmed to have entered an entrance or exit of the casino within a specified time, and the like.

[0131] Furthermore, in the second embodiment, the ID determination unit 134 determines the player ID of the player 503 sitting at the gaming table 501 by performing image recognition on the image captured by the second camera 12. However, in a case where the player ID cannot be determined by image recognition of the image due to poor quality of the image used for the image recognition, the ID determination unit 134 may use other images captured by the second camera 12 before and after the image, perform image recognition on the other images, and determine the player ID of the player 503 displayed in the other images.

[0132] Poor image quality can occur, for example, when the front face of the player 503 cannot be captured, when the player 503's face is out of focus, or when an obstacle blocks the face of the player 503. In these cases, it is desirable to eliminate these factors that cause poor quality and to determine the player ID by performing image recognition using other images captured at slightly different times.

[0133] Explanation of symbols:

[0134] 11 First Camera

[0135] 12 Second Camera

[0136] 13 Calculation device

[0137] 14 card reader

[0138] 15 Touch Panel

[0139] 16 Storage Device

[0140] 17 Benchmark Image Database

[0141] 18. Place the Zone Reader

[0142] 101-105 Game Table System

[0143] 110 First Image

[0144] 120 Second Image

[0145] 131 Game Coin Identification Department

[0146] 132 Body Recognition Department

[0147] 133 First Mapping Unit

[0148] 134 ID Determination Department

[0149] 135 Reference image acquisition unit

[0150] 136 Group Decision Department

[0151] 137 Second Mapping Unit

[0152] 138 Game Coin Operation Player Confirmation Department

[0153] 501 Game Table

[0154] 502 Dealer

[0155] 503 players

[0156] 504 Game Coin Tray

[0157] 505 Player Position

[0158] 506 game coins

[0159] 507 placement area.

Claims

1. A game table system comprising: a first camera for photographing gaming coins placed on a gaming table in the casino; a game coin recognition mechanism that identifies the position, type, and number of game coins on the gaming table by performing image recognition using artificial intelligence technology on the image captured by the first camera; a second camera for capturing and generating images of players playing games at the gaming table; a body recognition mechanism for recognizing the body of the player playing the game on the gaming table by performing image recognition using artificial intelligence technology on the image captured by the second camera; a first mapping mechanism for mapping the gaming coins recognized by the gaming coin recognition mechanism and the player whose body is recognized by the body recognition mechanism based on the position of the gaming coins recognized by the gaming coin recognition mechanism and the body of the player recognized by the body recognition mechanism; an ID determining mechanism for determining a player ID of a player seated at the gaming table; a reference image acquisition mechanism for acquiring a reference image of a player seated at the gaming table; a combination determining unit that determines a combination of the player ID of the player determined by the ID determining unit and the reference image of the player acquired by the reference image acquiring unit; a second mapping unit that determines the player ID of the player displayed in the image captured by the second camera based on the plurality of combinations determined by the combination determination unit for the plurality of players seated at the gaming table, and maps the determined player ID with the player displayed in the image captured by the second camera; a game coin operating player determining unit for determining the player ID of the player operating the game coin based on the mapping between the player and the player ID performed by the second mapping unit and the mapping between the player and the game coin performed by the first mapping unit; as well as A recording mechanism that stores the player ID determined by the game coin operation player determination mechanism in association with the type and number of game coins identified by the game coin identification mechanism, or records the player ID determined by the game coin operation player determination mechanism in association with the total amount obtained based on the type and number of game coins identified by the game coin identification mechanism.

2. The gaming table system according to claim 1, wherein: The ID identification mechanism identifies the player ID by reading the player ID of the player sitting at the gaming table from the membership card of the player.

3. The gaming table system according to claim 1, wherein: The ID identification unit identifies the player ID of the player sitting at the gaming table by performing image recognition using artificial intelligence technology on an image obtained by photographing the player sitting at the gaming table.

4. The gaming table system according to claim 3, wherein: The reference image acquisition unit acquires the image used by the ID identification unit to identify the player ID as the reference image of the player.

5. The gaming table system according to claim 3, wherein: When the player ID of the player sitting at the gaming table cannot be determined by the image recognition, the ID determination unit uses other images captured by the second camera before and after the image to determine the player ID of the player displayed in the other images.

6. The gaming table system according to claim 1, wherein: A database is also provided, which stores the player IDs of registered players in association with reference images. The combination determination unit refers to the database using the player ID determined by the ID determination unit, thereby determining a combination of the player ID and the reference image.

7. The gaming table system according to claim 1, wherein: The reference image acquisition unit acquires the reference image of the player by photographing the player whose player ID is identified by the ID identification unit.

8. The gaming table system according to claim 7, wherein: The reference image acquisition means receives the dealer's designation of the player by capturing an image of the player whose player ID is identified by the ID identification means, cuts out a portion of the image of the identified player, and acquires the reference image of the player. For the player, the combination determination unit combines the player ID identified by the ID identification unit with the reference image of the player acquired by the reference image acquisition unit.

9. The gaming table system according to claim 7, wherein: The reference image acquisition means acquires an image of a player whose player ID is identified by the ID identification means as the reference image of the player, For the player, the combination determination unit combines the player ID determined by the ID determination unit with the reference image of the player acquired by the reference image acquisition unit.

10. The gaming table system according to claim 1, wherein: A database is also provided, which stores the player IDs of registered players in association with reference images. When a player whose player ID and reference image are not stored in the database sits at the gaming table, the ID determining unit reads the player ID of the player from the player's membership card for new registration, thereby determining the player ID of the player. The reference image acquisition unit acquires the reference image of the player by photographing the player whose player ID is determined by the ID determination unit. The database stores the player ID of the newly registered player determined by the ID determination unit and the reference image of the player acquired by the reference image acquisition unit in association with each other. After the players are registered in the database, the combination determination unit refers to the database to determine the combination for the players sitting at any of the gaming tables in the casino.

11. The gaming table system according to claim 1, wherein: The reference image acquisition mechanism acquires a plurality of reference images for the same player. The combination determination unit combines a plurality of the reference images with the same player ID.

12. The gaming table system according to claim 1, wherein: The reference image acquisition unit acquires a new reference image of the player after the combination determination unit determines the combination of the player ID and the reference image for the player. The combination determination unit replaces the reference image combined with the player ID with the new reference image.

13. The gaming table system according to claim 1, wherein: The combination decision mechanism excludes the combination of the player who has left the gaming table from the combinations used for mapping by the second mapping mechanism.

14. The gaming table system according to claim 1, wherein: The second mapping unit determines players that may be present in the casino, uses the combination of the determined players as candidates, and maps the determined player IDs with the players shown in the image captured by the second camera.

15. The gaming table system of claim 1, wherein: The second mapping unit also determines the player ID of the player shown in the image captured by the second camera based on the combination determined by the combination determination unit for a plurality of players sitting at the other gaming tables in the casino.

16. The gaming table system of claim 1, wherein: When the determined player ID cannot be mapped to the player displayed in the image taken by the second camera, the second mapping mechanism uses other images taken by the second camera before and after the image to map the player displayed in the other images to the determined player ID.

17. The gaming table system of claim 1, wherein: A database is also provided, which stores the player IDs of registered players in association with reference images. The reference image acquisition unit refers to the database to determine the reference image of the player displayed in the image captured by the second camera.

18. The gaming table system of claim 17, wherein: The card further comprises: a display unit that displays the reference image determined by the reference image acquisition unit; and an input receiving unit that receives an input of approval or rejection of the reference image displayed on the display unit by the dealer. The reference image acquisition unit captures an image of the player who has received the rejection input by the input acceptance unit to acquire the reference image of the player, and stores the reference image in the database in association with the player ID of the player.

19. The gaming table system of claim 1, wherein: The game coin recognition mechanism includes: a first game coin recognition mechanism, which recognizes the position of the game coins based on the image generated by photographing the game coins on the game table; and a second game coin recognition mechanism, which recognizes the type and number of game coins based on the image generated by photographing the game coins on the game table.

20. The gaming table system of claim 1, wherein: The game coin identification mechanism identifies the position, type and number of the game coins by reading the RFID tags embedded in the game coins. The body recognition mechanism recognizes the position of a player playing a game at the gaming table based on the image, The first mapping mechanism maps the player and the gaming token based on the position of the player recognized by the body recognition mechanism and the position of the gaming token recognized by the gaming token recognition mechanism.

Images