Chip recognition system

Abstract

To provide a chip recognition system that can accurately recognize stacked chips.SOLUTION: A chip recognition system for recognizing chips on a game table in an amusement facility having game tables includes: a game recording device for recording the state of chips stacked on the game table as an image using a camera; an image analysis device for analyzing the recorded image of the state of the chips; multiple chip determination devices including at least a first artificial intelligence device for determining the number of stacked chips using the image analysis result of the image analysis device; and a second artificial intelligence device for determining the correct number of chips when a determination result of different numbers of chips is obtained in the multiple chip determination devices.SELECTED DRAWING: None

Description

[Technical Field]

[0001] The present invention relates to a chip recognition system for recognizing stacked chips. [Background technology]

[0002] In games such as baccarat, bets are made by stacking multiple chips. Therefore, it is necessary to accurately recognize the stacked chips. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2008 / 120749 Summary of the Invention [Problem to be solved by the invention]

[0004] The present invention has been made in view of the above problems, and the problems to be solved by the present invention have been accumulated. The object of the present invention is to provide a chip recognition system that can accurately recognize chips. [Means for solving the problem]

[0005] According to one aspect of the present invention, a chip on a gaming table in a gaming facility having a gaming table is A chip recognition system for recognizing chips stacked on the gaming table. A game recording device that records the state of the chips as an image using a camera, and an image analyzer for analyzing an image of the state; and and a plurality of chips including at least a first artificial intelligence device that determines the number of stacked chips. When the chip determination device and the plurality of chip determination devices obtain different determination results for the number of chips, In this case, a chip recognition system is provided that includes a second artificial intelligence device that determines the number of correct chips. It is served.

[0006] By providing a second artificial intelligence device, multiple chip judgment devices can produce judgment results for different numbers of chips. Even if this happens, the correct number of chips can be determined with high accuracy.

[0007] The plurality of chip determination devices use the image analysis result of the first image by the image analysis device. the first artificial intelligence device that determines the number of stacked chips, and the image analysis device The stacked chips are then analyzed using the image analysis results of the second image, which is different from the first image. and a third artificial intelligence device that determines the number of cards.

[0008] Alternatively, the plurality of chip determination devices may use the image analysis results of the image analysis device. the first artificial intelligence device that determines the number of stacked chips, and the first artificial intelligence device that determines the number of stacked chips. A physical measurement method that determines the number of stacked chips using a different physical measurement method from the device. The measuring and determining device may also include:

[0009] Furthermore, the plurality of chip determination devices may be configured to determine the result of image analysis of the first image by the image analysis device. the first artificial intelligence device that determines the number of stacked chips using the image; The stacked images are analyzed using the image analysis results of the second image, which is different from the first image, by the analysis device. A third artificial intelligence device that determines the number of chips that have been placed, and the first and third artificial intelligence devices Physical measurement determination to determine the number of stacked chips using different physical measurement methods The device may include at least:

[0010] The physical measurement and determination device may determine the number of chips using the measurement results obtained by trigonometry. good.

[0011] The second artificial intelligence device is configured to determine the position of the camera used by the game recording device, the image data obtained from the camera, and the number of pixels to be detected, the position of the focus of the image, and the past performance of the plurality of chip determination devices, It is desirable to use at least one to determine the number of correct chips.

[0012] According to another aspect of the present invention, a game table in a game center having a game table is provided. A chip recognition system for recognizing chips stacked on the gaming table. A game recording device that records the state of the chips as an image using a camera, and an image analyzer for analyzing the image of the chip state; and a result of the image analysis by the image analyzer. The first artificial intelligence device determines the number and type of chips stacked using the results. and a plurality of chip determination devices including at least one chip, and a plurality of chip determination devices each having a different number or When the type determination result is obtained, the first step to determine the correct number of chips or the correct type of chips is performed. 2. An artificial intelligence device and a chip recognition system comprising the same are provided.

[0013] By providing a second artificial intelligence device, multiple chip judgment devices can be used to judge chips of different numbers or types. Even if a judgment result is given, the number of correct chips and the correct chip type can be determined with high accuracy. .

[0014] The plurality of chip determination devices use the image analysis result of the first image by the image analysis device. the first artificial intelligence device that judges the number and type of stacked chips by the image; stacking the second image, which is different from the first image, using the image analysis results of the image analyzer; and a third artificial intelligence device that determines the number and type of chips placed. stomach.

[0015] Alternatively, the plurality of chip determination devices may use the image analysis results of the image analysis device. the first artificial intelligence device that determines the number and type of stacked chips; 1 The number of stacked chips is determined by a physical measurement method different from that of an artificial intelligence device. and a physical measurement determination device for determining the temperature.

[0016] Furthermore, the plurality of chip determination devices may be configured to determine the result of image analysis of the first image by the image analysis device. the first artificial intelligence device that determines the number and type of stacked chips using the results; using the image analysis result of the image analysis device of a second image different from the first image, a third artificial intelligence device for determining the number and type of stacked chips; The third artificial intelligence device uses a different physical measurement method to count the number of stacked chips. and a physical measurement determination device for determining the physical measurement result.

[0017] The physical measurement and determination device may determine the number of chips using the measurement results obtained by trigonometry. good.

[0018] The second artificial intelligence device is configured to determine the position of the camera used by the game recording device, the image data obtained from the camera, and the number of pixels to be detected, the position of the focus of the image, and the past performance of the plurality of chip determination devices, It is desirable to determine the number of correct chips or the type of correct chips using at least one of them.

[0019] The image analysis device detects the stacked chips partially due to the blind spot of the camera. Even if the entire chip is hidden, it is possible to obtain information on the type, number and position of the chip. It is desirable that the structure be such that this is possible.

[0020] According to another aspect of the present invention, a game machine is provided for controlling a game table in a game center having the game table. A chip recognition system for recognizing chips stacked on the gaming table. A game recording device that records the state of the chip as an image using a camera, and an image analyzer that performs image analysis of the state of the object, and a printer that uses the image analysis results of the image analyzer. A chip determination device including an artificial intelligence device that determines the number of chips bet by a player, Determine the number of chips bet by a player using a physical measurement method other than an intelligent device Physical measurement determination device, the image analysis device, the chip determination device, and the physical measurement determination device and a management control device for controlling the chip determination device. The result of determining the number of chips differs from the result of determining the number of chips obtained from the physical measurement determination device. In this case, the chip further has a function of outputting and displaying the result of the judgment as unclear. A recognition system is provided.

[0021] The physical measurement and determination device may determine the number of chips using a calculation result obtained by using trigonometry. good.

[0022] According to another aspect of the present invention, a game machine is provided for controlling a game table in a game center having the game table. A chip recognition system that recognizes chips when a player bets from different positions or angles. a plurality of cameras for capturing images of chips stacked on the gaming table; a game recording device that records the state as an image using the plurality of cameras; An image analyzer that performs image analysis of the state of the chip, and a method for analyzing the state of the chip using the image analysis results of the image analyzer. and a plurality of chips including at least a first artificial intelligence device that determines the number of chips stacked. A chip determination device, and a management control device for controlling the image analysis device and the plurality of chip determination devices. and a chip determination device, wherein the management control device determines different numbers of chips in the plurality of chip determination devices. When a judgment result is obtained, the image of the game recording device is analyzed to determine the cause of the difference in the judgment result. Determine whether the cause is the overlapping state of chips stacked on the gaming table, A second artificial intelligence that determines the number of correct chips based on the judgment results of each of the plurality of chip judgment devices. A chip recognition system is provided which further comprises an instrument function. [Effects of the Invention]

[0023] Chips can be recognized with high accuracy. [Brief explanation of the drawings]

[0024] [Figure 1] FIG. 1 is a schematic diagram showing an amusement park. [Figure 2] A diagram showing the progress of a baccarat game. [Figure 3] FIG. 1 is a block diagram showing a schematic configuration of a chip recognition system. [Figure 4] A diagram explaining a method for determining the number of chips W using trigonometry. [Figure 5] A diagram explaining a method for determining the number of chips W using trigonometry. [Figure 6] 10 is a flowchart showing a method for recognizing a chip W. DETAILED DESCRIPTION OF THE INVENTION

[0025] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0026] First, a game played in a gaming facility having a gaming table 10 will be described. In this embodiment, the gaming table 10 is a baccarat table, and a baccarat game is played. However, the present invention is applicable to other game centers or other games.

[0027] FIG. 1 is a diagram showing a typical game center. As shown in the figure, the game center has a substantially semicircular game center. Table 10 and dealer D are lined up facing each other along the arc side of the game table 10. The number of chairs 11 is arbitrary, and in the example of FIG. 1, six chairs are set up. (The chairs are called 11a to 11f in order from the right side of the game table 10. (These are collectively referred to as chairs 11.) Also, a play table 10 is provided corresponding to each chair 11. A betting area 12 is provided on the top (the betting areas are arranged in order from the right side of the game table 10). The rear 12a to 12f are collectively called the betting area 12). The betting areas 12a to 12f are arranged in an arc shape. A chip check area is provided, and the type of chip placed on the chip check area is checked. The type and number of items can be read using RFID.

[0028] Then, a customer (player) C sits on each of the chairs 11a to 11f. ) C is the result of the baccarat game, the player (PLAYER) and the banker (BAN The winner of the match (KER) or the tie (TIE) will be decided by the seated chair. 1 bets by stacking chips W on the betting area 12 in front of him (hereinafter Below, this is called a "bet").

[0029] The chips W to be bet may be of one type only, or may be of multiple types. The number of chips W to be bet may be arbitrarily determined by the customer (player) C. It recognizes the number (and even the type) of chips W stacked.

[0030] Dealer D waits for the right moment to finish the bet by customer (player) C ( Call "No More Bet" and move your hand sideways. After that, the cards are drawn one by one from the card shooter device S onto the game table 10. As shown in Figure 2, the first card is the player, and the second card is Banker (BANKER), third card is player (PLAYER), fourth card The first card is the banker's hand (hereinafter, the first to fourth cards are drawn). (This is referred to as "dealing").

[0031] In addition, all cards are drawn out from the card shooter device S with their backs facing up. Therefore, the rank (number) and suit (heart, diamond, spade, club) are also known by dealer D. This cannot be known even to customer (player) C.

[0032] After the fourth card is drawn, the customer who bet on the player C (If there are multiple customers who bet on PLAYER, the customer who bets the most is C If no customer has placed a bet on PLAYER, the dealer (D) will Turn the first and third cards face up. Customer (player) C (if there are multiple customers who bet on BANKER, the highest bet Customer C who bet on BANKER, or dealer D if no customer bet on BANKER, Turn the first and fourth cards face up (this is generally called "success"). (They call it "Quies").

[0033] The ranks (numbers) of the first to fourth cards and the detailed rules of the baccarat game are also Based on this, dealer D draws the fifth card and then the sixth card. These become the player's or banker's hands, respectively. The player bets on the cards that will be in the player's hand. Customer (Player) C squeezes and hands the cards that will become the Banker's hand to the Banker. The customer (player) who bets on the banker will squeeze.

[0034] After drawing the first four cards, squeeze the fifth and sixth cards to determine the winning or losing result. The time it takes for customer (player) C to find out is the most exciting part.

[0035] Furthermore, depending on the rank (number) of the cards, the outcome may be decided by the first four cards. Sometimes the winner is decided by the fifth or sixth card. Based on the rank (number) of the squeezed cards, you can determine whether the winner has been decided or the outcome of the game. Then, the winning / losing result display button on the card shooter device S is pressed to display the winning / losing result to the customer (player). Y) Perform tasks such as displaying the information on a monitor to inform C.

[0036] At the same time, the winning / losing decision unit of the card shooter device S determines the winning / losing result of the game. Even though the outcome has been decided, the game continues without displaying the result. If you try to pull a card, an error occurs. The card shooter device S detects the error and An error signal is output. Finally, Dealer D is not allowed to play while the winning or losing result is being displayed. Settles the bets made by Player C and pays the winning customer (Player C) and the losing customer (Player C). The bet from customer (player) C is collected. After the settlement is complete, the display of the winning / losing results is ended. Start betting on the next game.

[0037] The above baccarat game flow is widely used in general casinos, and The card shooter device S is structured so that the cards are drawn by the dealer D's hand. The device is configured to read the card that is output, and further has a result display button and a result display section. This is an existing card shooter device that has the function of determining whether a player wins or loses and displaying the results of the win or loss. As mentioned above, on a general casino floor, for each gaming table 10 where multiple units are lined up, The card shooter device S and the monitor are arranged in the center of the table. In vignette 210, the cards used are packaged or set by set, and even in cartons. It is supplied and operated in units.

[0038] In this embodiment, the chips W stacked in the betting area 12 by the customer (player) C are recognized. Regarding the chip recognition system, more specifically, a system for recognizing the number and / or type of chips W This relates to a chip recognition system.

[0039] The chip recognition system is equipped with one or more cameras 1a and 1b (two in the example of FIG. 1). The camera 1a is placed on the right side of the game table 10 and photographs the betting area 12. On the other hand, the camera 1b is placed on the left side of the game table 10 and takes a picture of the betting area 12. The positions of the cameras 1a and 1b are merely examples, and the positions where the cameras 1a and 1b can capture the betting area 12 are not limited to the above. The sensor may be placed at any position.

[0040] The camera 1a may capture only a part of the betting areas 12a to 12f, but it may also capture the entire betting area. When the camera 1a photographs a plurality of betting areas 12, the camera 1a It is expected that a clear image will be obtained for betting area 12, which is close to camera 1. It is possible that the image of the betting area 12 far from a will be unclear. It is expected that a clear image will be obtained for the bed area 12 where the camera 1a is focused. However, the image may be blurred for the out-of-focus betting area 12. The same can be said for camera 1b.

[0041] The chip W is recognized using the images captured by the cameras 1a and 1b. Using an image increases the accuracy of chip W recognition, while using an unclear image reduces the accuracy of chip W recognition. The recognition accuracy will be lower.

[0042] FIG. 3 is a block diagram showing the schematic configuration of the chip recognition system. The system recognizes chips W on the gaming table 10 in a gaming facility having the gaming table 10. The system includes cameras 1a and 1b, a game recording device 2, an image analysis device 3, and a plurality of It is equipped with a tip determination device 4 and an artificial intelligence device 5 for determining a correct answer.

[0043] As described above, the cameras 1a and 1b are placed in the betting area 12 of the gaming table 10. The stacked chips W are photographed. The image obtained by the photographing is transmitted via wireless or wired communication. The information is transmitted to the game recording apparatus 2 via a signal.

[0044] The game recording device 2 records the chips stacked in the game played on the game table 10. The state of the game W is recorded as an image using the cameras 1a and 1b. The device 2 records the images captured by the cameras 1a and 1b.

[0045] The image analyzer 3 analyzes the image of the state of the recorded chip W. For example, The device 3 determines the size (number of pixels), shape (pattern matching) of the assumed object (chip W). The chip W is then separated from the background by filtering using techniques such as image analysis. The place 3 is a place where a plurality of chips W stacked in the betting area 12 are in the blind spot of the cameras 1a and 1b. Even if part or the whole of one chip W is hidden, the type of chip W It is desirable to have a structure that can obtain information on the number and position of sheets. By this, the image and the number of chips in the image are taught to the artificial intelligence as training data. This makes this possible.

[0046] The chip determination devices 4 include, for example, two chip number determination artificial intelligence devices 4a and 4b and a physical The chip determination devices 4 are each provided with two chip number determination artificial It may include only the intelligent devices 4a and 4b, or it may include one number determination artificial intelligence device 4a and Alternatively, it may include only the physical measurement determination device 4c, or three or more number determination artificial It may include an intelligent device or a device that determines the number of sheets using another method. The number-of-sheets determining artificial intelligence devices 4a and 4b use the image analysis results of the image analysis device 3 to determine the number of sheets. Learning has been performed in advance so that the number of chips can be determined.

[0047] The number-determining artificial intelligence device 4a is configured to capture images taken by the camera 1a and record them as images. Furthermore, the results of the image analysis are used to determine the number of stacked chips W using artificial intelligence. On the other hand, the number-determining artificial intelligence device 4b determines the number of sheets by taking an image (including The image was recorded as a different image from the one taken by camera 1a, and further image analysis was performed. Using the results, the number of stacked chips W is determined using artificial intelligence.

[0048] The physical measurement determination device 4c determines the chip size by a physical measurement method without using artificial intelligence. As a concrete example of a physical measurement method, the number of W images captured by cameras 1a and 1b is determined. Based on the height of the stacked chips W obtained by applying triangulation to the image, the chip W More specifically, the number of images may be determined by using trigonometry. By calculating the corners, the position of chip W in the image, and the horizontal distance, the number of chips W can be calculated. This can be determined in detail below.

[0049] In FIG. 4, the cameras 1a, 1b and the chips W are aligned on the same plane perpendicular to the gaming table 10. Let us assume that the line connecting the camera 1a and the center C of the top chip W is The angle α formed by the camera 1b and the center C of the top chip W is The angle β of the bull 10, the straight line connecting the camera 1a and the center C of the top chip W, and the The line connecting the intersection KR of the cable 10, the camera 1b, and the center C of the top chip W and the game table The relation between the distance L between the intersection point KL of the bull 10 and the height H of the overlapping chip W is as follows: It is expressed by equation (1). L = H / tan α + H / tan β (1)

[0050] Here, the distance L and angles α and β can be calculated using the following method. The intersection points KR and KL are From the angle of view of the cameras 1a and 1b, the center C of the top chip W is projected onto the gaming table 10. Therefore, the position within the outline of the uppermost chip W in the images captured by the cameras 1a and 1b is By obtaining the center by image processing, the intersection points KR and KL are obtained. By processing the captured image, an image of the gaming table 10 viewed from directly above can be obtained. By doing so, the distance L between the intersections KR and KL is obtained. Furthermore, the positions of the intersections KR and KL are separated. For example, the heights of the cameras 1a and 1b from the table are constant, so the angles α and β can be obtained. From the above, the height H of the overlapping chips W is calculated by the following formula (2) which is a modification of the above formula (1). , can be obtained using the distance L and angles α and β obtained above. H=(tanα×tanβ) / ((tanα+tanβ) ) L ···(2)

[0051] For the sake of simplicity, the cameras 1a and 1b and the chips W are shown hanging down on the gaming table 10. It is assumed that the cameras 1a, 1b and the chips W are on the same plane. Even if they are not on the same vertical plane, the calculation can be done in the same way as in Figure 5. The intersection point of the perpendicular line from the table to the table is O, and the line connecting the intersection points O and KR is KR. The angle between the line connecting the intersection points KR and KL and the line connecting the intersection points O and KL is γ. If the angle between the line connecting L and the line is δ, then the following equation (2') is used, although detailed calculations are omitted. Can be expressed. H=tanαtanβ / (tanαcosδ+tanβcosγ)L ···(2')

[0052] By obtaining the height H of the stacked chips W using the method described above, chips with a predetermined thickness t can be formed. The number of chips W can be obtained by H / t.

[0053] Returning to FIG. 3, the correct answer determining artificial intelligence device 5 determines the number of chips W based on what image. When the chip number is determined, the chip number determination artificial intelligence devices 4a and 4b in the chip determination devices 4 It is also possible to learn in advance which of the determination results of the physical measurement determination device 4c is likely to be correct. The correct answer determining AI device 5 is then trained by the number determining AI devices 4a and 4b. When the determination result of the number of sheets differs from that of the physical measurement determination device 4c, the artificial intelligence is used. When making this decision, the AI device 5 for determining the correct number of chips determines the correct number of chips. The image used by the artificial intelligence devices 4a and 4b to determine the number of chips W is used.

[0054] The correct answer determination artificial intelligence device 5 takes into consideration the positions of the cameras 1a and 1b used by the game recording device 2. For example, the camera 1a may be positioned near the betting area 12a. , far from the betting area 12f (see FIG. 1). Therefore, the correct answer determination artificial intelligence device 5 When determining the number of chips W stacked in the betting area 12a, The number of images judged by the AI device 4b is not determined by the AI device 4b using the image from the camera 1a. The number of chips determined by the number-determining artificial intelligence device 4a may be determined as the correct answer.

[0055] In addition, the correct answer determination artificial intelligence device 5 takes into consideration the number of pixels obtained from the cameras 1a and 1b. For example, the number of images obtained from each camera 1a and 1b may be determined by It is also possible to select either the camera 1a or 1b by comparing the degree of focus. When the focus is correct, the outline is clear, the contrast is clear, and the image is easy to process. Therefore, for example, if the judgment results differ between cameras 1a and 1b, In this case, the camera with better focus may generally show the correct number of chips. High potential.

[0056] Alternatively, the correct answer determining artificial intelligence device 5 may determine the focal position of the images captured by the cameras 1a and 1b. For example, the number of correct chips may be determined by taking into consideration the number of correct chips stacked in the bet area 12b. When determining the number of chips W placed, the focus of the camera 1a is located on the betting area 12b. In this case, the focus of the camera 1b is located in the betting area 12f. The artificial intelligence device 5 for determining the number of sheets is not the artificial intelligence device 4b for determining the number of sheets that uses the images from the camera 1b. The chips are determined by the AI device 4a for determining the number of chips using the image from the camera 1a. The number may be determined to be the correct answer.

[0057] The correct answer determining artificial intelligence device 5 is composed of the number determining artificial intelligence devices 4a and 4b and the physical counter. The number of correct chips may be determined by taking into consideration the past results of the measurement / judgment device 4c. If the past accuracy rate of the physical measurement determination device 4c is higher than that of the determination artificial intelligence devices 4a and 4b, the The solution determining artificial intelligence device 5 determines the number of chips based on the determination result of the physical measurement determination device 4c as the correct answer. It may be determined.

[0058] In this way, the correct answer determining artificial intelligence device 5 can determine the correct answer using various factors. the positions of the cameras 1a and 1b, the number of pixels obtained from the cameras 1a and 1b, and the position of the focal point of the image. , and past performance may be combined, or other information may be used. .

[0059] FIG. 6 is a flowchart showing a method for recognizing the chip W. First, the cameras 1a and 1b The state of the chip W is photographed, and the image showing the state of the chip W is recorded by the game recording device 2 (s Then, the image analysis device 3 analyzes the recorded image (step S2). The chip number determination artificial intelligence devices 4a and 4b in the chip determination devices 4 and the physical Each of the measurement and determination devices 4c determines the number of chips W using the image analysis results (step Top S3).

[0060] Here, the number of sheets obtained by the artificial intelligence devices 4a and 4b for determining the number of sheets and the physical measurement device 4c If the judgment results of the selected chips W match each other (YES in step S4), the judgment results is the number of chips W. On the other hand, if they do not match (NO in step S4), the correct solution The artificial intelligence device 5 determines which of the determination results is correct, i.e., the correct chip number. If they do not match, the chip check area is checked. You can also place a chip W on the card and check the number of chips by reading the RFID.

[0061] In this way, in this embodiment, a plurality of chip determination devices 4 are provided, and further, Therefore, the chip determination devices 4 each produce different determination results. Even if the player puts out a chip, the correct answer determining artificial intelligence device 5 can accurately determine the number of chips W. Cut.

[0062] In the above-described embodiment, the number of chips W is determined. It is also possible to determine both the type and number of chips W. The intelligent devices 4a and 4b are pre-trained to determine the type and number of chips W. Both may be determined using an image that has been analyzed. If the type of chip W indicated by the judgment result does not match, the device 5 further determines the correct chip type. The user can determine the identity of the chip W by placing the chip W in the chip check area and reading the RFID. You may also check the type and number of chips.

[0063] The chip recognition system includes a game recorder 2, an image analyzer 3, and a chip judgement device 4. and a management control device that controls at least a part of the correct answer determination artificial intelligence device 5. Good too.

[0064] For example, the management control device may determine the number of chips (and and / or type, the same below) and the number of chips obtained from the physical measurement determination device 4c. If the judgment result is different from the judgment result of (1), the judgment may be displayed as unclear. .

[0065] In addition, when the chip determination device 4 obtains a result of determining the number of chips different from each other, the management control device In this case, the image of the game recording device 2 is analyzed to determine whether the cause of the difference in the judgment result is the position of the game table 10. The chip determination device 4 determines whether the chips W are stacked together or not. The number of correct chips may be determined based on the result of the judgment. and may utilize artificial intelligence device capabilities in this determination.

[0066] The above-described embodiment is not intended to be limiting unless a person skilled in the art to which the present invention pertains has been specifically shown and described. The above-described embodiments are described with the aim of enabling the implementation of the above. It is obvious to those skilled in the art that the technical idea of the present invention can be applied to other embodiments. Therefore, the present invention is not limited to the described embodiments. The scope of the present invention should be the broadest in accordance with the technical idea defined by the claims. [Explanation of symbols]

[0067] 1a,1b camera 2. Game Recording Device 3. Image analysis equipment 4. Multiple chip detection devices 4a,4b Artificial intelligence device for determining number of sheets 4c Physical measurement and judgment device 5. Artificial intelligence device for determining correct answers 10 Game Table 11, 11a~11f Chairs 12, 12a~12f betting area

Claims

1. A chip recognition system for a gaming table in which chips are arranged one on top of the other, A first image is obtained by photographing the chips stacked on the gaming table from an obliquely upward direction. a first recording device; A second image is obtained by photographing the chips stacked on the gaming table from an obliquely upward direction. a second recording device; at least one processor; The processor: performing image analysis on the first image using artificial intelligence techniques; performing image analysis on the second image; Based on the results of each image analysis, Determine the number of chips you have, Based on the number of chips determined by image analysis of the first image and the second image, A chip recognition system for determining the correct number of chips shown in the first image and the second image. 。

2. When the number of chips determined from the first image and the second image differs from each other, a processor determining the correct number of chips stacked on said gaming table; The chip recognition system according to claim 1 .

3. the first recording device includes a first camera; the second recording device includes a second camera; The first camera and the second camera may be installed at different positions and / or at different angles. The first camera and the second camera are placed on the same screen, one above the other, on the game table. and capturing a different side of one chip, thereby detecting the difference between the first and second images. However, there are chips that are not detected by image analysis of the second image. Top recognition system.

4. The correct number is the first camera and the respective positions of the first camera, or the number of pixels of each of the first and second cameras; The chip recognition system according to claim 3, wherein the determination is based on:

5. The correct number is the first image and a focal position of each of the first images; the resolution of each of the first image and the second image, or The processor performed the following based on each of the first recording device and the second recording device: Past judgment results, The chip recognition system of claim 1 , wherein the chip recognition system is determined based on the following equation:

6. the first recording device and the second recording device each include a camera; The at least one processor may be configured to control at least one camera of the first recording device or the second recording device. At least one camera in the device captures part or all of one or more chips due to the camera's blind spot. Even if the chips are hidden, the position and type of chips stacked on the game table can be seen.

2. The chip recognition system according to claim 1, wherein information regarding the number of chips can be determined.

7. The at least one processor: Based on image analysis of the first image and image analysis of the second image, The type of at least one chip shown in the first image and the second image is determined, Based on the type of chip determined by image analysis of the first image and the second image, The chip of claim 1, wherein the correct type of chip shown in the first image and the second image is determined. Recognition system.

8. When the types of chips determined from the first image and the second image are different from each other, a processor determining the correct denomination of chips stacked on said gaming table; The chip recognition system according to claim 7.

9. the first recording device includes a first camera; the second recording device includes a second camera; The first camera and the second camera may be installed at different positions and / or at different angles. The first camera and the second camera are placed on the same screen, one above the other, on the game table. and capturing a different side of one chip, thereby detecting the difference between the first and second images. However, there are chips that are not detected by image analysis of the second image. Top recognition system.

10. The correct type is the first camera and the respective positions of the first camera, or the number of pixels of each of the first and second cameras; The chip recognition system according to claim 7, wherein the determination is based on:

11. The correct type is the first image and a focal position of each of the first images; the resolution of each of the first image and the second image, or The processor performed the following based on each of the first recording device and the second recording device: Past judgment results, The chip recognition system of claim 7, wherein the chip recognition system is determined based on the following:

12. the first recording device and the second recording device each include a camera; The at least one processor may be configured to control at least one camera of the first recording device or the second recording device. At least one camera in the device captures part or all of one or more chips due to the camera's blind spot. Even if the chips are hidden, the position and type of chips stacked on the game table can be seen.

8. The chip recognition system according to claim 7, wherein information regarding the number of chips can be determined.

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