NZ796374A - Chip recognition system - Google Patents

Abstract

Provided is a chip recognition system capable of accurately recognizing stacked chips. This chip recognition system, which recognises chips on a game table in a game parlor having the game table, is provided with: a first camera configured to capture, from a first position, a plurality of chips stacked on the game table to obtain a first image; a second camera configured to capture, from a second position different from the first position, the plurality of chips stacked on the game table to obtain a second image, wherein the first camera and the second camera captures the common plurality of chips to obtain the first image and the second image, respectively; a first artificial intelligence device configured to determine a number of the common plurality of chips based on the first image; a second artificial intelligence device configured to determine the number of the common plurality of chips based on the second image; and a correct determination device configured to determine a correct number of the common plurality of chips based on a determination result of the first artificial intelligence device and a determination result of the second artificial intelligence device.

Description

Provided is a chip recognition system e of accurately recognizing stacked chips. This chip recognition system, which recognises chips on a game table in a game parlor having the game table, is provided with: a first camera configured to capture, from a first position, a plurality of chips stacked on the game table to obtain a first image; a second camera configured to capture, from a second position different from the first position, the plurality of chips stacked on the game table to obtain a second image, wherein the first camera and the second camera captures the common plurality of chips to obtain the first image and the second image, respectively; a first cial intelligence device configured to determine a number of the common plurality of chips based on the first image; a second artificial intelligence device configured to determine the number of the common ity of chips based on the second image; and a correct determination device ured to determine a correct number of the common plurality of chips based on a determination result of the first artificial intelligence device and a determination result of the second artificial intelligence device.

NZ 796374 CHIP RECOGNITION SYSTEM Technical Field The present invention relates to a chip recognition system that recognizes d chips.

Related Art In games such as a baccarat game, betting is done by stacking a plurality of chips. Hence, there is a need to correctly recognize the stacked chips.

SUMMARY The present invention is made in view of such a problem, and an object of the present invention is to provide a chip recognition system capable of accurately recognizing stacked chips.

According to one embodiment, provided is a chip recognition system that recognizes a chip on a gaming table in an amusement place having the gaming table, the chip ition system comprising: a game ing apparatus that records, as an image, a state of chips stacked on the gaming table, using a camera; an image analysis apparatus that performs an image analysis on the recorded image of the state of chips; a plurality of chip determination apparatuses comprising at least a first artificial intelligence apparatus that determines a number of the chips stacked, using an image analysis result obtained by the image analysis apparatus; and a second artificial intelligence apparatus that decides a correct number of the chips stacked, when the plurality of chip determination apparatuses obtain ent determination results for the number of the chips stacked.

By providing the second artificial igence apparatus, even if the plurality of chip determination apparatuses provide ent ination results for the number of chips, the t number of chips can be accurately decided.

The plurality of chip determination apparatuses may comprise at least: the first artificial intelligence apparatus that ines a number of the chips stacked, using an image analysis result for a first image, the image analysis result being obtained by the image analysis apparatus; and a third artificial intelligence apparatus that determines a number of the chips stacked, using an image analysis result for a second image, the image analysis result being obtained by the image analysis apparatus and the second image being different from the first image.

Alternatively, the plurality of chip determination apparatuses may comprise at least: the first artificial intelligence apparatus that determines a number of the chips d, using an image analysis result obtained by the image analysis apparatus; and a physical measurement determination apparatus that determines a number of the chips stacked, by a physical measurement method different from a method used by the first artificial intelligence tus.

Additionally, the plurality of chip determination apparatuses may comprise at least: the first artificial igence apparatus that determines a number of the chips stacked, using an image analysis result for a first image, the image analysis result being obtained by the image analysis apparatus; a third artificial igence apparatus that determines a number of the chips stacked, using an image analysis result for a second image, the image analysis result being obtained by the image analysis apparatus and the second image being different from the first image; and a physical measurement determination apparatus that determines a number of the chips stacked, by a physical measurement method different from methods used by the first and third artificial igence apparatuses.

The physical measurement determination tus may determine a number of the chips d, using a measurement result that uses trigonometry. ably, the second artificial intelligence apparatus decides a t number of the chips stacked, using at least one of: a position of the camera used by the game recording apparatus; a number of pixels obtained from the camera; a focal position of the image; and past results obtained by the plurality of chip determination apparatuses.

According to another embodiment, provided is a chip recognition system that izes a chip on a gaming table in an amusement place having the gaming table, the chip recognition system comprising: a game recording apparatus that records, as an image, a state of chips stacked on the gaming table, using a camera; an image analysis apparatus that performs an image analysis on the recorded image of the state of chips; a ity of chip ination apparatuses comprising at least a first artificial intelligence tus that determines a number and a type of the chips stacked, using an image is result obtained by the image analysis apparatus; and a second artificial intelligence apparatus that decides a correct number or a type of the chips stacked, when the plurality of chip determination apparatuses obtain different determination results for the number or the type of the chips stacked.

By providing the second artificial intelligence apparatus, even if the plurality of chip determination tuses provide different determination results for the number or type of chips, the correct number of chips and the correct type of chips can be accurately decided.

The plurality of chip determination apparatuses may comprise at least: the first artificial intelligence apparatus that determines a number and a type of the chips stacked, using an image analysis result for a first image, the image analysis result being obtained by the image analysis apparatus; and a third artificial intelligence apparatus that determines a number and a type of the chips stacked, using an image analysis result for a second image, the image analysis result being obtained by the image analysis apparatus and the second image being different from the first image.

The plurality of chip determination apparatuses may comprise at least: the first cial intelligence apparatus that determines a number and a type of the chips stacked, using an image analysis result obtained by the image is apparatus; and a physical measurement determination tus that determines a number of the chips d, by a physical measurement method different from a method used by the first artificial intelligence apparatus.

The plurality of chip determination apparatuses may comprise at least: the first artificial intelligence apparatus that ines a number and a type of the chips stacked, using an image analysis result for a first image, the image analysis result being obtained by the image analysis apparatus; a third artificial intelligence apparatus that determines a number and a type of the chips stacked, using an image analysis result for a second image, the image analysis result being obtained by the image is apparatus and the second image being different from the first image; and a physical measurement determination apparatus that determines a number of the chips stacked, by a physical measurement method different from methods used by the first and third artificial igence apparatuses.

The physical measurement determination apparatus may determine a number of the chips stacked, using a measurement result that uses trigonometry.

Preferably, the second cial intelligence tus decides a correct number or a type of the chips stacked, using at least one of: a position of the camera used by the game recording apparatus; a number of pixels obtained from the camera; a focal position of the image; and past results ed by the plurality of chip determination apparatuses.

Preferably, the image analysis apparatus is configured such that even if a part of a ity of stacked chips or a whole of a single chip among the plurality of stacked chips is hidden due to a blind spot of the camera, the image analysis apparatus can obtain information about a type, a number, and a position of the chips.

According to r embodiment, provided is a chip recognition system that recognizes a chip on a gaming table in an amusement place having the gaming table, the chip recognition system comprising: a game recording apparatus that records, as an image, a state of chips stacked on the gaming table, using a camera; an image analysis apparatus that performs an image analysis on the ed image of the state of chips; a chip determination apparatus comprising an artificial intelligence apparatus that determines a number of chips bet by a player, using an image analysis result ed by the image analysis apparatus; a physical measurement determination apparatus that determines a number of the chips bet by the player, by a physical measurement method different from a method used by the artificial intelligence apparatus; and a ment and control tus that ls the image analysis apparatus, the chip determination apparatus, and the physical measurement determination apparatus, wherein the management and control tus further has a function of outputting and ying “undetermined” as a determination result when a determination result for the number of chips obtained from the chip determination apparatus differs from a determination result for the number of chips obtained from the physical measurement determination apparatus.

The physical measurement determination apparatus may determine a number of the chips using a measurement result that uses trigonometry.

According to another embodiment, provided is a chip recognition system that recognizes a chip on a gaming table in an amusement place having the gaming table, the chip recognition system sing: a plurality of cameras that obtain images of a chip bet by a player from different positions or different angles; a game recording apparatus that records, as images, a state of chips d on the gaming table, using the plurality of cameras; an image analysis apparatus that performs an image analysis on the recorded images of the state of chips; a plurality of chip determination apparatuses comprising at least a first artificial intelligence apparatus that determines a number of the chips stacked, using an image analysis result obtained by the image analysis apparatus; and a management and control apparatus that controls the image analysis apparatus and the plurality of chip determination apparatuses, wherein the management and l apparatus r has a second artificial intelligence apparatus function of analyzing the images in the game recording tus when the plurality of chip determination tuses obtain different determination results for the number of the chips d, to determine whether the difference in determination result is caused by a stacking state of the chips stacked on the gaming table, and s a correct number of the chips stacked, based on the determination results obtained by the respective plurality of chip determination apparatuses.

Chips can be tely recognized.

BRIEF DESCRIPTION OF GS is a diagram schematically showing an amusement place; is a diagram showing the progress of a baccarat game; is a block diagram showing a schematic uration of a chip recognition system; is a diagram bing a method of determining the number of chips using trigonometry; is a diagram describing a method of determining the number of chips using trigonometry; and is a flowchart showing a technique for recognizing chips.

DETAILED DESCRIPTION An embodiment according to the present invention will be specifically described below with reference to the drawings.

First, a game that is played in an amusement place having a gaming table 10 will be described. Although the present embodiment shows an example in which the gaming table 10 is a baccarat table and a baccarat game is played, the present invention is also able to other amusement places or other games. is a diagram schematically showing an amusement place. As shown in the drawing, in the amusement place there are disposed a ntially semicircular gaming table 10 and chairs 11 which are arranged along the arc side of the gaming table 10 so as to face a dealer D. The number of the chairs 11 is any. In the example of Fig. 1, six chairs 11 are provided (they are called chairs 11a to 11f in order from the right side on the paper of the gaming table 10, and are collectively called chairs 11). In addition, g areas 12 are provided on the gaming table 10 for the respective chairs 11 (they are called betting areas 12a to 12f in order from the right side on the paper of the gaming table 10, and are collectively called betting areas 12). Namely, the six betting areas 12a to 12f are arranged in an arc-like .

Then, customers (players) C sit in the respective chairs 11a to 11f. Each customer (player) C bets on a Player win, a Banker win, or a Tie as the winning or losing outcome of the baccarat game (this is hereinafter referred to as “bet”) by stacking chips W in a betting area 12 provided in front of a chair 11 in which the customer (player) C sits.

There may be only one type of chips W to bet or there may be a plurality of types of chips W to bet. In addition, the number of chips W to bet may be arbitrarily decided by the ers (players) C. The present embodiment is to ize the number (furthermore, the type) of stacked chips W.

The dealer D calls “No more bets” at the right time to end betting by the ers (players) C and, for example, moves r hand in a crosswise direction. Then, the dealer D draws cards one by one from a card shooter apparatus S onto the gaming table 10. As shown in the first card is a Player’s hand, the second card is a Banker’s hand, the third card is a Player’s hand, and the fourth card is a Banker’s hand (the drawing of the first to fourth cards is hereinafter referred to as “dealing”).

Note that since all cards are drawn face down from the card shooter apparatus S, neither the dealer D nor customers (players) C can grasp ranks (numbers) or suits s, diamonds, spades, or clubs).

After the fourth card is drawn, a customer (player) C who has bet on the Player (if there are a plurality of customers C who have bet on the Player, a customer C with the highest bet, and if there is no customer C who has bet on the Player, the dealer D) turns over the face-down first and third cards face up. Likewise, a customer (player) C who has bet on the Banker (if there are a plurality of customers C who have bet on the Banker, a customer C with the highest bet, and if there is no customer C who has bet on the Banker, the dealer D) turns over the second and fourth cards face up (in general, the turning over of a face-down card face up is called “squeezing”).

Then, based on the ranks (numbers) of the first to fourth cards and the detailed rules of the baccarat game, the dealer D draws the fifth card and r the sixth card, and each of these cards s a Player’s or Banker’s hand. In the same manner as above, a customer (player) C who has bet on the Player squeezes a card that is the Player’s hand, and a customer (player) C who has bet on the Banker squeezes a card that is the Banker’s hand.

A period of time before winning and losing outcomes are found out by squeezing the fifth and sixth cards after drawing the first to fourth cards is a thrilling time for the customers (players) C.

Furthermore, depending on the ranks (numbers) of cards, winning and losing may be decided by the first to fourth cards, or winning and losing may be finally d by the fifth card or further by the sixth card. Based on the ranks (numbers) of the squeezed cards, the dealer D grasps that winning and losing are decided and grasps winning and losing outcomes, and ms a task such as pressing a winning and losing outcome display button on the card shooter tus S to display the winning and losing outcomes on a monitor to show the customers (players) C the winning and losing outcomes.

In addition, at the same time, a winning and losing determiner ed in the card shooter apparatus S ines the winning and losing outcomes of the game. If, despite the fact that winning and losing have been d, the dealer D further attempts to draw a card without displaying the winning and losing outcomes, an error occurs. The card shooter apparatus S detects the error and outputs an error signal.

Finally, during a period during which the winning and losing es are displayed, the dealer D calculates bets made by the ers (players) C, and makes payouts to winning customers (players) C and collects bets from losing customers (players) C. After the completion of the calculation, the display of the winning and losing outcomes is terminated, and betting for the next game starts.

Note that the flow of the above-described baccarat game is widely done in general casinos, and the card shooter apparatus S is an existing card shooter apparatus that is configured to read a card to be drawn while being structured such that a card is drawn out by a hand of the dealer D, and that further includes an outcome display button and an outcome display module and has a function of making a winning and losing determination and displaying winning and losing es. As bed above, the card shooter apparatus S, a monitor, etc., are disposed for each of a plurality of gaming tables 10 ed on a general casino floor, and cards to be used are supplied in units of packages or sets or further in units of cartons on each gaming table 10 or in a cabinet 210 below the gaming table and utilized.

The present embodiment relates to a chip recognition system that recognizes chips W that are stacked in the betting areas 12 by the customers rs) C, and more specifically to a chip recognition system that recognizes the number and/or type of chips W.

The chip recognition system includes a single or a plurality of (two in the example of cameras 1a and 1b.

The camera 1a is disposed on the right side on the paper of the gaming table 10 and shoots the betting areas 12. On the other hand, the camera 1b is disposed on the left side on the paper of the gaming table 10 and shoots the betting areas 12. Note that the disposition positions of the s 1a and 1b are merely exemplification, and the cameras 1a and 1b may be disposed in any on in which the cameras 1a and 1b can shoot the betting areas 12.

The camera 1a may shoot only a part of the betting areas 12a to 12f, but it is desirable that the camera 1a shoot all of the betting areas 12a to 12f. When the camera 1a shoots a plurality of betting areas 12, it is expected that a sharp image can be obtained for betting areas 12 close to the camera 1a, but it is also considered that an unsharp image is obtained for betting areas 12 far from the camera 1a. In addition, it is expected that a sharp image can be obtained for g areas 12 that are in focus of the camera 1a, but it is also considered that an unsharp image is obtained for g areas 12 that are out of focus of the camera 1a. The same things can also be said for the camera 1b.

Chips W are ized using images obtained by shooting with the cameras 1a and 1b. Use of a sharp image ses the accuracy of recognition of the chips W and use of an unsharp image reduces the accuracy of recognition of the chips W. is a block diagram g a schematic configuration of a chip recognition system. The chip recognition system is to recognize chips W on a gaming table in an amusement place having the gaming table 10, and includes cameras 1a and 1b, a game recording apparatus 2, an image analysis apparatus 3, a plurality of chip determination apparatuses 4, and an artificial intelligence apparatus for deciding a correct result 5.

As described above, the cameras 1a and 1b shoot chips W stacked in the betting areas 12 on the gaming table 10. Images obtained by the shooting are transmitted to the game ing apparatus 2 by wireless communication or wired communication.

The game recording apparatus 2 records, as images, the state of chips W stacked in a game which is played on the gaming table 10, using the cameras 1a and 1b. Namely, the game recording tus 2 records the images shot with the cameras 1a and 1b.

The image analysis apparatus 3 performs an image analysis on the recorded images of the state of chips W. For example, the image analysis apparatus 3 performs filtering by the size (the number of pixels), shape (pattern matching), etc., of an assumed target (chip W) to make a distinction between the chips W and a background. It is desirable that the image analysis apparatus 3 be structured such that even if some or a single whole chip W of a plurality of chips W stacked in the betting areas 12 are/is hidden due to the blind spots of the cameras 1a and 1b, the image analysis apparatus 3 can obtain information about the type, number, and position of the chips W.

Specifically, this becomes possible by cial intelligence by teaching the artificial intelligence an image and the number of chips in the image as teacher data.

The ity of chip determination apparatuses 4 include, for example, two cial intelligence apparatuses for determining the number of chips 4a and 4b and a physical measurement determination apparatus 4c. Note that the plurality of chip ination apparatuses 4 may include only two artificial intelligence apparatuses for determining the number of chips 4a and 4b, or may include only one artificial intelligence apparatus for determining the number of chips 4a and the physical ement determination apparatus 4c, or may include three or more artificial igence apparatuses for determining the number of chips, or may include an apparatus that determines the number of chips by a different technique.

In order that the artificial intelligence apparatuses for determining the number of chips 4a and 4b can determine the number of chips W using an image analysis result ed by the image analysis apparatus 3, the artificial intelligence apparatuses for determining the number of chips 4a and 4b are subjected to pre-learning.

The artificial intelligence apparatus for determining the number of chips 4a determines, using artificial intelligence, the number of stacked chips W, using a result that is shot with the camera 1a and recorded as an image and further subjected to an image analysis. On the other hand, the artificial intelligence apparatus for ining the number of chips 4b determines, using artificial intelligence, the number of stacked chips W, using a result that is shot with the camera 1b and recorded as an image (i.e., an image different from the image shot with the camera 1a) and further subjected to an image analysis.

The physical ement determination apparatus 4c determines the number of chips W by a physical measurement method without using artificial intelligence. For a specific example of the physical measurement method, the number of chips W may be determined based on the height of the stacked chips W which is obtained by applying trigonometry to the images shot with the cameras 1a and 1b. Furthermore, specifically, the number of chips W can be determined by computing, using trigonometry, the angles of vision from the cameras 1a and 1b, the position of the chips W in the images, and a horizontal distance. ic description will be made below.

In it is assumed that the cameras 1a and 1b and chips W are present in the same plane dicular to the gaming table 10. A relational expression between an angle α formed by a straight line connecting the camera 1a to the center C of the top chip W and the gaming table 10, an angle β formed by a straight line connecting the camera 1b to the center C of the top chip W and the gaming table 10, a distance L n a point of intersection KR of the straight line connecting the camera 1a to the center C of the top chip W and the gaming table 10 and a point of intersection KL of the ht line connecting the camera 1b to the center C of the top chip W and the gaming table 10, and a height H of the stacked chips W is represented by the following equation (1): L = H/tan α + H/tan β ... (1) Here, the distance L and the angles α and β are found by the following method. The points of intersection KR and KL are positions where the center C of the top chip W is projected onto the gaming table 10 as viewed from the angles of view of the cameras 1a and 1b. Therefore, the points of intersection KR and KL are obtained by obtaining, by image sing, the center of the outline of the top chip W in images shot with the cameras 1a and 1b. Furthermore, by obtaining an image of the gaming table 10 looked down from immediately above by performing image processing on the images shot with the cameras 1a and 1b, the distance L between the points of intersection KR and KL is ed. Furthermore, if the positions of the points of intersection KR and KL are known, then since the heights of the cameras 1a and 1b from the gaming table 10 are fixed, the angles α and β can be obtained. By the above, the height H of the stacked chips W can be obtained using the distance L and angles α and β obtained above and by the following equation (2) which is a modified version of the above-described on (1): H = (tan α × tan β)/((tan α + tan β))L ... (2) Although the above assumes that the cameras 1a and 1b and the chips W are present in the same plane perpendicular to the gaming table 10 for simplification of ption, even when the cameras 1a and 1b and the chips W are not present in the same plane perpendicular to the gaming table 10, computation can be performed in the same manner in Given that the point of intersection of a perpendicular line from the center C to the gaming table 10 with the gaming table 10 is O, the angle formed by a straight line connecting the points of ection O and KR and a straight line connecting the points of intersection KR and KL is γ, and the angle formed by a straight line connecting the points of intersection O and KL and the straight line connecting the points of intersection KR and KL is δ, though detailed computation is d, the height H is represented by the following equation (2’): H = tan α tan β/(tan α cos δ + tan β cos γ)L ... (2’) By obtaining the height H of stacked chips W by the methods shown above, the number of chips W with a predetermined thickness t can be obtained by H/t.

Referring back to the artificial intelligence tus for deciding a correct result 5 has learned in advance which one of determination results obtained by the artificial intelligence apparatuses for determining the number of chips 4a and 4b and the physical measurement determination apparatus 4c which are included in the plurality of chip determination apparatuses 4 is more likely to be correct for what image based on which the number of chips W is determined. Then, when the artificial intelligence apparatus for deciding a correct result obtains different determination results for the number of chips W from the cial intelligence apparatuses for ining the number of chips 4a and 4b and the al measurement ination apparatus 4c, the artificial intelligence apparatus for deciding a correct result 5 decides the correct number of chips W using artificial intelligence.

Upon this on, the artificial intelligence apparatus for ng a correct result 5 uses images that are used by the artificial intelligence apparatuses for determining the number of chips 4a and 4b to determine the number of chips W.

The artificial intelligence apparatus for deciding a t result 5 may decide the correct number of chips W, taking into account the positions of the cameras 1a and 1b used by the game recording apparatus 2. For e, the camera 1a is close to the betting area 12a and is far from the betting area 12f (see . Hence, when the artificial intelligence tus for deciding a correct result 5 determines the number of chips W stacked in the g area 12a, the artificial intelligence apparatus for deciding a correct result 5 may decide the number of chips W obtained as a result of determination by the artificial intelligence apparatus for determining the number of chips 4a that uses an image from the camera 1a, instead of by the artificial intelligence apparatus for determining the number of chips 4b that uses an image from the camera 1b, to be correct.

In addition, the artificial intelligence apparatus for deciding a correct result 5 may decide the correct number of chips W, taking into account the numbers of pixels obtained from the cameras 1a and 1b, etc. For example, either one of the cameras 1a and 1b may be selected by comparing the numbers of pixels or the degrees of focus which are obtained from the cameras 1a and 1b. Namely, when focus is ed, an edge becomes sharp and thus st becomes clear, making it easier to obtain the correct number of chips W by image processing.

Hence, for example, when different determination results are obtained for the cameras 1a and 1b, in general, it is highly likely that a camera that achieves better focus shows the correct number of chips W.

Alternatively, the artificial intelligence apparatus for deciding a correct result 5 may decide the correct number of chips W, taking into account the focal positions of images shot with the cameras 1a and 1b. For e, it is d that upon determining the number of chips W stacked in the betting area 12b, the focus of the camera 1a is located in the betting area 12b and the focus of the camera 1b is located in the betting area 12f. In this case, the artificial igence apparatus for deciding a correct result 5 may decide the number of chips W obtained as a result of determination by the artificial igence apparatus for determining the number of chips 4a that uses an image from the camera 1a, instead of by the artificial intelligence apparatus for determining the number of chips 4b that uses an image from the camera 1b, to be correct.

In addition, the artificial intelligence apparatus for deciding a correct result 5 may decide the correct number of chips W, taking into account the past results obtained by the artificial intelligence apparatuses for determining the number of chips 4a and 4b and the physical measurement determination apparatus 4c. For example, when the physical measurement determination apparatus 4c has a higher past correctness rate than the artificial intelligence apparatuses for determining the number of chips 4a and 4b, the artificial intelligence apparatus for deciding a correct result 5 may decide the number of chips W ed as a result of determination by the al measurement determination apparatus 4c to be correct.

As such, the artificial intelligence apparatus for ng a t result 5 can decide a correct result using various ts. Two or more of the exemplified positions of the cameras 1a and 1b, numbers of pixels obtained from the cameras 1a and 1b, focal positions of images, and past results may be combined, or other information may be further used. is a flowchart showing a technique for recognizing chips W. First, the cameras 1a and 1b shoot the state of chips W, and the game recording apparatus 2 records images representing the state of chips W (step S1). Subsequently, the image analysis apparatus 3 analyzes the ed images (step S2). Then, each of the artificial intelligence apparatuses for determining the number of chips 4a and 4b and the physical ement determination apparatus 4c which are included in the plurality of chip determination apparatuses 4 determines the number of chips W using an image analysis result (step S3).

Here, if determination s for the number of chips W which are obtained by the artificial intelligence apparatuses for ining the number of chips 4a and 4b and the physical measurement determination apparatus 4c match (YES at step S4), the determination results are used as the number of chips W.

On the other hand, if the determination results do not match (NO at step S4), the artificial intelligence apparatus for deciding a correct result 5 s which one of the determination results is correct, i.e., decides the correct number of chips W (step S5).

As such, in the t embodiment, the plurality of chip determination apparatuses 4 are provided, and furthermore, the artificial igence apparatus for deciding a t result is provided. Hence, even when the plurality of chip determination apparatuses 4 provide different determination results, the number of chips W can be accurately decided by the artificial intelligence apparatus for deciding a correct result Note that the above-described embodiment is to decide the number of chips W. However, both the type and number of chips W may be decided. For example, the artificial intelligence apparatuses for determining the number of chips 4a and 4b may have learned in advance to determine the type and number of chips W, and determine both the type and number using images having been subject to an image analysis. In that case, if the types of chips W indicated by ination s do not match, the artificial igence apparatus for deciding a correct result may further decide the correct type of chips W.

In addition, the chip recognition system may include a management and control apparatus that controls at least some of the game recording apparatus 2, the image is apparatus 3, the chip determination apparatuses 4, and the artificial intelligence apparatus for deciding a correct result 5.

For example, when determination results for the number (and/or type, the same also applies below) of chips W which are obtained from the artificial intelligence apparatuses for determining the number of chips 4a and 4b differ from a determination result for the number of chips W which is obtained from the physical measurement determination apparatus 4c, the ment and control apparatus may output and display “undetermined” as a determination result.

In addition, when the chip determination apparatuses 4 obtain different determination s for the number of chips W, the management and control apparatus may e images in the game recording apparatus 2 to determine whether the difference in determination result is caused by the stacking state of chips W stacked on the gaming table 10, and decide the correct number of chips W based on the determination results obtained by the respective chip determination apparatuses 4.

The management and control apparatus may have an artificial intelligence tus function and use the artificial intelligence tus function for the decision.

The above-described embodiment is described with the aim of allowing a person of ordinary knowledge in the technical field to which the present invention belongs to carry out the t invention. Various ts of the above-described embodiment can be made as a matter of course by a person skilled in the art, and the technical idea of the present invention can also be applied to other ments. Therefore, the present ion should not be construed as being d to the described embodiment, but should be construed as having the widest range according to the technical idea defined by the claims.

Description of Reference Signs 1a and 1b: CAMERA 2: GAME RECORDING APPARATUS 3: IMAGE ANALYSIS APPARATUS 4: A PLURALITY OF CHIP DETERMINATION APPARATUSES 4a and 4b: ARTIFICIAL INTELLIGENCE APPARATUS FOR DETERMINING THE NUMBER OF CHIPS 4c: PHYSICAL MEASUREMENT DETERMINATION APPARATUS : ARTIFICIAL INTELLIGENCE APPARATUS FOR DECIDING A T RESULT : GAMING TABLE 11 and 11a to 11f: CHAIR 12 and 12a to 12f: BETTING AREA

Claims (19)

Claims

1.

A chip recognition system on a game table in a game parlor having the game table, comprising: a first camera configured to capture, from a first position, a plurality of chips stacked on the game table to obtain a first image; a second camera ured to capture, from a second position different from the first position, the plurality of chips stacked on the game table to obtain a second image, wherein the first camera and the second camera captures the common plurality of chips to obtain the first image and the second image, respectively; a first artificial intelligence device ured to ine a number of the common plurality of chips based on the first image; a second artificial intelligence device configured to determine the number of the common plurality of chips based on the second image; and a correct determination device configured to determine a correct number of the common plurality of chips based on a determination result of the first artificial intelligence device and a determination result of the second artificial intelligence . ２. The chip recognition system according to claim 1, wherein the chip recognition system is further configured to determine a type of chips.

3. The chip recognition system according to claim 1, wherein the first intelligence device and second cial intelligence devices are further ured to ine a type of the common plurality of chips, and the correct determination device is further configured to determine a correct type of the common plurality of chips based on a determination result of the first artificial intelligence device and a determination result of the second artificial intelligence device.

4. The chip recognition system according to claim 1, wherein the correct determination device is capable of determine the correct type and the number of the common plurality of chips based on the determination result of the first artificial intelligence device and the determination result of the second artificial intelligence device even when the common plurality of chips are hidden in the first image due to a blind spot of the first camera.

5. The chip recognition system according to claim 1, wherein the correct determination device determines the correct type and the number of the common plurality of chips based on, in addition to the determination result of the first cial igence device and the determination result of the second artificial intelligence device, an overlap of the common plurality of chips.

6. The chip recognition system according to claim 1, wherein the first camera and the second camera are oned at symmetrical positions with regard to the game table.

7. The chip recognition system according to claim 1, wherein the game table includes a plurality of bet areas, the first camera captures a whole of the plurality of bet areas, and the second camera captures a whole of the plurality of bet areas.

8. The chip recognition system according to claim 1, wherein a distance n the first camera and the common ity of chips is different from a distance between the second camera and the common plurality of chips.

9. The chip recognition system according to claim 1, further comprises an image analysis device configured to extract a first chip area from the first image and a second chip area from the second image; n the first artificial intelligence device determines the type and the number based on the first chip area, and the second artificial intelligence device determines the type and the number based on the second chip area.

10. The chip ition system according to claim 1, wherein a number of pixels of the first image is different from a number of pixels of the second image.

11. The chip recognition system according to claim 1, wherein a focus position of the first camera is ent from a focus position of the second camera.

12. The chip recognition system according to claim 1, wherein the correct determination device determines the correct type and the number of the chips by adopting one of the determination result of the first artificial intelligence device and the determination result of the second artificial intelligence when the determination result of the first cial intelligence device is different from the determination result of the second cial intelligence.

13. The chip recognition system ing to claim 10, wherein the correct determination device selects an image having more information of the common plurality of chips among the first image and the second image as an image where a correct determination result is obtained.

14. The chip recognition system according to claim 10, wherein the correct determination device selects an image obtained by a camera closer to the common plurality of chips among the first image and the second image as an image where a correct determination result is obtained.

15. The chip recognition system according to claim 10, wherein the t determination device selects an image having higher contrast among the first image and the second image as an image where a correct determination result is obtained.

16. The chip ition system according to claim 10, wherein the correct determination device selects an image whose deviation from a focus position is smaller among the first image and the second image as an image where a correct determination result is obtained.

17. The chip recognition system according to claim 1, wherein the first artificial intelligence device and the second artificial intelligence device are implemented as one chip determination device.

18. The chip recognition system according to claim 1, wherein the first artificial intelligence device is a device different from the second artificial intelligence device are implemented as one chip determination device.

19. The chip ition system according to claim 1, wherein the game table es a plurality of bet areas, the first camera captures a part of the plurality of bet areas, the second camera captures a part of the plurality of bet areas. [