Note: Descriptions are shown in the official language in which they were submitted.
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METHOD AND APPARATUS FOR MONITORING CASINOS AND GAMING
TECHNICAL FIELD
The present description generally relates to monitoring various aspects of
casinos and gaming, and more specifically relates to automated game and wager
tracking and analysis.
BACKGROUND OF THE INVENTION
Casinos and other forms of gaming are a multi-billion dollar, world-wide
industry. Typically, a customer exchanges currency or some form of credit for
a
casino's chips. The customer places the chips as wagers at various games, such
as
blackjack, craps, roulette, and baccarat. A game operator, such as a dealer,
pays out
winning wagers with additional chips based on the set of odds for the
particular game.
The dealer collects the customer's chips for losing wagers. The odds of each
game
slightly favor the casino, so on average the casino wins and is profitable.
Like many businesses, casinos wish to understand the habits of their
customers. Some casinos have employees visually observe customer's game play,
manually tracking the gaming and wagering habits of the particular customers.
The
information allows the casinos to select the number of different games that
the casino
will provide and to adequately staff those games. The information also allows
the
casinos to select certain customers to receive complimentary benefits
("comps") and to
determine the amount of comps a particular customer is to receive. The act of
giving
comps to a customer, commonly referred to as "comping," produces a large
amount of
good will with the customers, encouraging customer loyalty and further
wagering.
Some casinos have attempted to partially automate the tracking process,
reading a
= customer "comp" card to identify the customer. The actual gaming and
wagering
_ patterns of the customers are visually observed by casino personnel
and manually
entered into a computer to create a digitized copy of the customer's gaming
habits.
Similarly, casinos wish to track the efficiency of the casino and the
casino's employees. Such information allows the casino to make change to
increase the
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overall efficiency of the casino and of the employees, benefiting both the
casino and
customers. A typical method of tracking employee efficiency is to manually
count the
number of hands of blackjack dealt by a dealer over some time period. A change
in an
amount in a bank at the gaming table can also be manually determined and
combined
with the count of the number of hands to determine a won/loss percentage for
the dealer.
The casino can use the information to take appropriate action, such as
rewarding an
efficient dealer, or providing additional training to an inefficient dealer.
The fast pace and large sums of money make casinos likely targets for
cheating and stealing. Casinos employ a variety of security measures to
discourage
cheating or stealing by both customers and employees. For example,
surveillance
cameras covering a gaming area or particular gaming table provide a live or
taped video
signal that security personnel can closely examine. Additionally, or
alternatively, "pit
managers" can visually monitor the live play of a game at the gaming table.
While some aspects of a casino's security system should be plainly
visible as a deterrent, other aspects of the security should be unobtrusive to
avoid
detracting from the players' enjoyment of the game and to prevent cheaters and
thieves
from avoiding detection.
The current methods of tracking have several drawbacks. The methods
typically depend on manual observation of a gaming table. Thus coverage is not
comprehensive, and is limited to tracking a relatively small number of games,
customer's and employees. This problem is exacerbated by a customer's ability
to
rapidly move between gaming tables. A commonly known method for cheating
customers to avoid detection is to switch tables frequently. The tracking
methods are
also prone to error since the manual methods rely on human observers who can
become
inattentive or distracted. In one commonly known method of cheating the
casino, one
member of a team will create a distraction while another member steals chips
or swaps
cards. These manual tracking methods are also labor intensive, and thus
costly. =
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SUMMARY OF THE INVENTION
In one aspect, the invention includes a system for automatically
monitoring playing and wagering of a game. In one illustrated embodiment, the
system
includes a card deck reader that automatically reads a respective symbol from
each card
in a deck of cards before a first one of the cards is removed from the deck.
The symbol
identifies a value of the card in terms of rank and suit, and can take the
form of a
machine-readable symbol, such as a bar code, area or matrix code or stacked
code. In
another aspect, the system does not decode the read symbol until the
respective card is
dealt, to ensure security.
In another aspect, the system can include a chip tray reader that
automatically images the contents of a chip tray. The system periodically
determines
the number and value of chips in the chip tray from the image, and compares
the change
in contents of the chip tray to the outcome of game play to verify that the
proper
amounts have been paid out and collected.
In a further aspect, the system can include a table monitor that
automatically images the activity or events occurring at a gaming table. The
system
periodically compares images of the gaming table to identify wagering, as well
as the
appearance, removal and position of cards and/or other objects on the gaming
table.
The table monitoring system can be unobtrusively located in the chip tray.
In yet a further aspect, the invention includes a drop box that
automatically verifies an amount and authenticity of a deposit and reconciles
the deposit
with a change in the contents of the chip tray. The drop box can image
different
portions of the deposited item, selecting appropriate lighting and resolutions
to examine
security features in the deposited item.
In another aspect, the system can employ some, or all of the components
to monitor the gaming habits of players and the performance of employees. The
system
can detect suspect playing and wagering patterns that may be prohibited. The
system
can also identify the win/loss percentage of the players and the dealer, as
well as a
number of other statistically relevant measures. Such measures can provide a
casino or
other gaming establishment with enhanced automated security, and automated
real-time
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accounting. The measures can additionally provide a basis for automatically
allocating
complimentary benefits to the players.
rtµ
BRIEF DESCRIPTION OF THE DRAWINGS
a.
Figure 1 is a isometric view of a game played at a gaming table by a
dealer and players utilizing the present invention.
Figure 2 is an isometric view of a casino chip of the present invention.
Figure 3 is a block diagram of a monitoring system of the present
invention for monitoring the gaming table of Figure 1.
Figure 4 is an isometric view of a card shoe holding a deck of playing
cards in a cradle utilizing the present invention.
Figure 5 is a front plan view of the faces of the deck of playing cards
shown in Figure 4, staggered to expose an edge of each of the cards in the
deck.
Figure 6 is a right side elevational view of the staggered deck of playing
cards of Figure 5.
Figure 7 is an isometric view of a card reader utilizing the present
invention and including a card reading head and a drive mechanism to move a
linear
imager of the card reading head.
Figure 8 is a right side cross-sectional view of an alternative embodiment
of a card reader utilizing the present invention including a card reading head
with an
area imager.
Figure 9 is a top, front isometric view of a chip tray utilizing the present
invention.
Figure 10 is a top plan view of a chip tray monitoring subsystem used in
the chip tray of Figure 9.
Figure Ills a cross-sectional view taken along the section line 11-11 of
Figure 10.
Figure 12 is a cross-sectional view taken along the section line 12-12 of
Figure 10.
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Figure 13 is a top plan view of a composite field-of-view formed by a
number of discrete fields-of-view of respective color sensors of the chip tray
monitoring
subsystem of Figure 10.
Figure 14 is a functional block diagram of a cash accounting and
validation subsystem of the present invention.
Figure 15 is a functional block diagram of the overall operation of the
gaming table monitoring system of the present invention.
Figure 16 is a block diagram of the interaction of a number of software
modules implementing the functionality of Figure 15.
Figure 17 is a flowchart of a method of the present invention for
identifying wages and dealt cards.
Figure 18 is a flowchart of a method of the present invention for
processing image data from card and chip readers.
Figure 19 is a flowchart of a method of the present invention for reading
a deck of cards before any of the cards are dealt.
Figure 20 is a flowchart of a method of the present invention for
dynamically adjusting player strategy predictions.
Figure 21 is a representation of a three-dimensional hue, intensity and
saturation ("HIS") color space used in the present invention.
Figure 22 is a representation in Cartesian coordinates of the three-
dimensional HIS color space of Figure 24 used in the present invention.
Figure 23 is a flowchart of a method of the present invention for learning
new chip patterns.
Figure 24 is a flowchart of a method of the present invention for locating
chips in an image of the playing surface of the gaming table.
Figure 25 is a flowchart of a method of the present invention for
recognizing the various denominations of chips based on the chip patterns.
Figure 26 is a flowchart of a method of the present invention for tracking
the contents of a bank.
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Figure 27 is a flowchart of a method of the present invention for play
tracking and coordination.
Figure 28 is a block diagram of a network of gaming tables.
Figure 29 is a block diagram of the operation of a networked gaming
_ =
table of Figure 28.
Figure 30 is a graphical representation of a display of simulation of an
actual gaming environment on a monitor using the present invention.
Figure 31 is an isometric view of a pair of die, forming the gaming
pieces for the gaming table.
Figure 32 is an isometric view of a roulette wheel, forming the gaming
piece for the gaming table.
Figure 33 is an isometric view of a wheel of fortune, forming the gaming
piece for the gaming table.
DETAILED DESCRIPTION OF THE INVENTION
In the following description, certain specific details are set forth in order
to provide a thorough understanding of various embodiments of the invention.
However, one skilled in the art will understand that the invention may be
practiced
without these details. In other instances, well-known structures associated
with
computers, computer networks, readers and machine-vision have not been shown
or
described in detail to avoid unnecessarily obscuring descriptions of the
embodiments of
the invention.
The headings provided herein are for convenience only and do not
interpret the scope or meaning of the claimed invention.
This description initially presents a general explanation of gaming and
gaming table monitoring components in the environment of a blackjack table. A
more
= specific description of each of the individual hardware components
and the interaction _
of the hardware components follows. A description of the overall operation of
the
system follows the hardware discussion. A more specific discussion of the
operation of
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the system follows, presented in terms of discrete software modules. The
presentation
concludes with a discussion of a network of gaming tables.
Blackjack Gaming
Figure 1 shows a game of blackjack being played at a gaming table 10 by
a game operator or dealer 12 employed by a gaming house or casino and
Customers or
players 14, 16. While blackjack is used as an example, the teachings herein
are
generally applicable to a variety of wagering games, such as craps, baccarat,
poker,
wheel of fortune, and roulette to name only a few.
During a game, the dealer 12 removes cards 19 from a card shoe 20. The
dealer 12 can individually draw the cards from the card shoe 20, or can remove
an entire
deck 18 of cards 19 from the card shoe 20 to deal by hand. Many players 14, 16
appreciate the experience of a game where the cards are dealt from a deck 18
held by
the dealer 12, rather than being individually drawn from the card shoe 20.
The players 14, 16 place their respective wagers by placing a number of
wager chips 22 in wager:circles 24 demarcated on a playing surface 26 of the
gaming
table 10. The chips 22 typically come in a variety of denominations, as is
explained in
detail below. Players 14, 16 are issued chips in exchange for currency or
credit by the
casino's tellers. Casino's typically require the use of chips 22 for wagering,
rather than
actual currency. A player 14 can chose to play multiple hands by placing more
than one
wager, as shown in Figure 1. The players 14, 16 will often have a reserve of
chips 28
from which to place wagers.
= After the players 14, 16 have placed an initial wager of chips 22 in
their
respective wager circles 24, the dealer 12 deals each player two cards 30 face
down, and
deals herself one card 32 face down ("hole card") 32 and one card 34 face up
("show
card") from the deck 18. The players 14, 16 can accept additional cards
("hits") from
the deck 18 as they attempt to reach a total card value of "21" without going
over,
where face cards count as ten points, and Aces can count as either one or
eleven points,
at the cardholder's option. The dealer 12 also attempts to reach "21" without
going
over, although the rules typically require the dealer 12 to take a hit when
holding a "soft
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17." The players 14, 16 can vary their wagers (chips 22) after the initial
cards 30-34 are
dealt based on their knowledge of their own hand and the dealer's face up card
34. For
example, the player 14, 16 can "hit" or "stand" and may "double down" or "buy
insurance."
At the end of a "hand" or game, the dealer 12 collects the wager chips 22
from losing players and pays out winnings in chips to the winning players. The
winnings are calculated as a multiple of a set of odds for the game and the
amount of the
wager chips 22. The losses are typically the amount of the wager chips 22. The
dealer
12 places the collected wager chips 22 or "take" from the losing players into
a gaming
table bank that takes the form of a chip tray 36. The dealer 12 pays out the
winnings
using the required number of chips 38 from the chip tray 36. The chip tray 36
generally
consists of a number of wells, sized to receive the chips 38 with different
wells
generally used to contain different value chips. Changes to the contents of
the chip tray
36 represent the winnings and loses of the casino ("house") at the gaming
table 10.
Thus, maintaining an accurate count of the number and value of the chips 38 in
the chip
tray 36 can assist the casino in managing its operations. Many casinos permit
the dealer
12 to exchange chips for items 41 of value such as currency or other items at
the gaming
table 10. The dealer 12 deposits the item 41 of value into a drop box 40 at or
near the
gaming table 10. Periodically, for example at the end of a dealer's shift, the
contents of
the drop box 40 must be reconciled with contents of the chip tray 36, to
ascertain that
the correct number and value of chips were distributed.
Chins
With reference to Figure 2, the chips 38 are typically formed as circular
disks in a variety of denominations, the value of the chip being represented
by the color
of the chip and by a numeric marking 42 on a face of the chip 38. The chips 38
also
typically include an indication 44 of the issuing casino. The chips 38 can
include a
marking 46 on an edge 48 of the chip 38 encoding information such as the
issuing
casino, the denomination, and/or a unique serial number. The markings 46
comprise
machine-readable symbols, such as bar code, area or matrix codes or stacked
codes.
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While visually shown in Figure 2, the markings 46 can be printed wing an ink
that is
not typically visible to humans, such as an ink that is only visible in the
infrared portion
of the electromagnetic spectrum. Machine-readable symbols to which the
invention is
applicable and in which the invention may be embodied, may be defined by or
have
properties that are optically, magnetically, electrically, electro-
magnetically,
mechanically, etc., contrasting, distinguishable, detectable, etc. To simplify
further
description, bar codes having optically contrasting stripes will be used with
the
understanding, however, that the invention is applicable to machine-readable
symbols
other than the illustrated optical and other than contrasting stripes. U.S.
patents
5,782,647 to Fishbine et al.; 5,103,081 to Fisher et al; 5,548,110 to Storch
et al.; and
4,814,589 to Storch et al. disclose systems for encoding information on chips
and for
determining information encoded in the color, geometry, size or patterns on a
chip.
System Overview
As shown in Figure 3, a monitoring system 50 is provided for tracking
the wagering and play at a gaming table, such as the blackjack gaming table
10. The
monitoring system 50 includes a number of component subsystems coupled
together by
a central processing unit ("CPU") 52 for the gaming table 10. The gaming table
CPU
52 can take the form of a programmed general purpose computer, and/or a
specialized
dedicated processor card. The gaming table CPU 52, typically includes a
processor,
memory, multiplex ("Mux") card, video and Ethernet cards, power supply and an
image
acquisition card. While Figure 3 shows a single centralized gaming table CPU
52, the
monitoring system 50 can take a more distributed approach, locating dedicated
processors in one or more of the individual system components. Alternatively,
a
common CPU could service a number of gaming tables, each of the gaming tables
having a set of individual component subsystems. The gaming table CPU 52
communicates with external computers and devices over a communications link 54
such
as a local area network ("LAN") and/or a wide area network ("WAN"). The
communications link 54 can be wired and/or wireless. The communications link
can
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employ Internet, or World Wide Web communications protocols, and can take the
form
of a proprietary extranet.
A play tracking subsystem 56 visually monitors activity on the playing
surface 26 of the gaming table 10. The play tracking subsystem 56 is located
in the chip
tray 36, above the playing surface 26 of the gaining table 10. A chip tray
monitoring
subsystem 58 monitors the contents of the chip tray 36. The chip tray
monitoring
subsystem 58 can be located in the chip tray 36. The playing surface 26 has an
opening
60 for receiving a lower portion of the chip tray 36, such that the chip tray
monitoring
subsystem 58 is positioned below the playing surface 26, although such
positioning is
not necessary to the function of the component subsystem. A card verification
subsystem 62 identifies each of the cards in the card deck 18. The card
verification
subsystem 62 is located in the card shoe 20 (Figure 1) on the playing surface
26 of the
gaming table 10. A cash accounting and validation subsystem 64 monitors the
contents
of the drop box 40 (Figure 1). These subsystems 56, 58, 62, 64 are each
described in
detail below.
Card Shoe/Card Verification Subsystem
The card verification subsystem includes, as shown in Figure 4, the card
shoe 20 with a housing 66 and a cradle 68 sized and dimensioned to receive the
card
deck 18. A card support surface 70 of the housing 66 is sloped with respect to
a base
72, to hold the cards 19 of the card deck 18 in the card shoe 20 are slightly
shifted or
staggered with respect to adjacent cards in the deck 18 (as shown in Figures 5
and 6)
when the card shoe 20 is on the horizontal playing surface 26 of the gaming
table 10
(Figure 1).
As shown in Figures 5 and 6, a portion of each card 19 of the deck 18 is
exposed when the deck 18 is in the cradle 68. The exposed portion may be an
end
portion 74 along an edge of the face 76 (i.e., surface bearing the rank and
suit markings)
or the back 78 (Figure 4) (i.e., surface bearing a uniform marking for each
card in the
deck) of each of the cards 19 of the deck 18 depending on the orientation of
the cards 19
in the cradle 68. Alternatively, the exposed portion can be on one side
portion 80 along
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an edge of the face 76 or back 78 of the cards 19, if the cradle 68 is
dimensioned to
receive the deck of cards 18 in a sideways orientation (not shown). A slope of
approximately 300 is sufficient to shift the cards 19 to expose the end
portion 74 or side
portion 80.
The exposed portions each carry identifying information about the card,
and/or the card deck 18. For example, the rank and suit markings on the faces
76 of the
cards can be exposed, which identify the value of each card 19 in the deck 18
in terms
of rank and suit and which can be automatically read. The cards 19 can bear
other
machine-readable symbols such as bar code, area or matrix code, or stacked
code
symbols selected from respective symbologies to encode identifying information
such
as the rank and suit of the card, a unique serial number, and/or information
about the
card deck 18. For example, the cards 18 can carry bar code symbols 81 at one
of the
end portions 74 on the faces 76 of the cards as shown in Figure 5. Look-up
tables or an
algorithm can relate the unique serial number to other identifying information
such as
the rank, suit, casino, manufacturer of the card and/or card deck 18. Use of a
proprietary symbology can enhance security and efficiency. Encryption can also
enhance security, for example, encrypting the unique serial numbers. The
machine-
readable symbols can also take advantage of error correction, to discover and
correct
errors, as is generally known in the symbology arts. While visibly shown in
Figure 5,
the bar code symbols 81 can be printed using an ink that is not typically
visible to
humans, such as an ink that is only visible in the infrared portion of the
electromagnetic
spectrum.
The particular embodiment shown has a number of reading and security
advantages over other embodiments. Printing the bar code symbol 81 in
invisible ink
makes the bar code symbols 81 difficult to detect and read, and also makes the
deck
marking unobtrusive to the players 14, 16 (Figure 1). Printing the bar code
symbol 81
on the face 76 of each card 19 of the deck 18 makes it difficult for someone
other than
the cardholder to read, since the cardholder typically shields the face 76 of
the card 19
they hold from view to hide the rank and suit markings. Locating the bar code
symbols
81 on the end portions 74 of the .cards 19, makes it easy to expose the bar
code 81 on all
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of the cards 18 at the same time, with requiring a large amount of space in
the card
holder 20. This is particularly true for the top and end portions 74, since
playing cards
18 are typically longer than wide. After play, the end portions 74 of the
cards 19 of the
deck 18 can be easily trimmed to remove the bar code symbols 81, and the card
deck 18 - =
resold for reuse or as a souvenir.
The card verification subsystem 62 also includes, as shown in Figure 7, a
card reader 82 with a card reading head 84 and drive mechanism 86 to read
information
from the end portions 74 of each of the cards 19 (Figures 5 and 6) while all
of the cards
19 in the card deck 18 are in the card shoe 20 (Figure 1). The card reading
head 84
includes a linear charge-coupled device ("CCD") array 88, although the card
reading
head 84 can employ other scanning and imaging devices. For example, the card
reading
head 84 can employ imaging tubes (e.g., Vidicon, Plumbicon), and other image
capture
devices. Image data from the linear CCD array 88 passes to the gaming table
CPU 52
(Figure 3) for processing.
The drive mechanism 86 includes a motor 90, pulleys 92, and first and
second drive belts 94 entrained on the pulleys 92 to couple the motor 90 to
the reading
head 84. The linear CCD array 88 can continuously image an area for the cards
19, or
the placement of the card deck 18 in the cradle 68 can trigger a switch 96,
that activates
the motor 90 and linear CCD array 88. Movement of the motor 90 causes the
linear
CCD array 88 to oscillate between two positions along a pair of supporting
rails 98 to
move a field-of-view 100 of the linear CCD array 88 between an end portion 74
of a top
card 102 in the deck 18 and an end portion 74 of a bottom or last card 104 in
the deck
(Figures 5 and 6). The card reader 82 is thus capable of reading information
from every
card in the deck 18 in the order the cards are positioned in the deck 18,
before any cards
are removed. This allows the dealer 12 to remove the entire deck 18 at one
time and
deal by hand, enhancing the gaming environment while still allowing the
monitoring
system 50 (Figure 3) to know the order that the card 18 should appear as the
cards 18
are dealt by the dealer 12 during game play. The card verification subsystem
62 can
employ other drive mechanisms, for example a direct drive (not shown).
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Figure 8 shows an alternative embodiment under the present invention
employing a two-dimensional CCD array 106 in the card reading head 84. This
alternative embodiment, and those alternative embodiments and other
alternatives
described herein, are substantially similar to previously described
embodiments, and
common acts and structures are identified by the same reference numbers. Only
significant differences in operation and structure are described in detail
below.
The two-dimensional CCD array 106 has a field-of-view 108 that is
capable of imaging an area. The two-dimensional CCD array is positioned in the
housing 66 such that the field-of-view 108 encompasses the exposed end
portions 74 of
each of the cards in the deck 18 at a same time, as the cards 19 are
positioned on the
sloped card support surface 70 of the card shoe 20. Thus, the alternative
embodiment of
Figure 8 eliminates the drive mechanism 86 of Figure 7.
Chip Trav/Chip Tray Monitoring Subsystem
The chip tray 36 is shown in Figure 9 as including upper and lower
portions 110, 112, respectively, and a shelf 114 separating the upper and
lower portions
110, 112. The upper portion 110 includes a chip carrying surface 116 having a
number
of wells 118 sized and dimensioned to accept the chips 38 (Figure 1). A side
wall 120
extends downwardly from the chip carrying surface 116 and thereabout to form a
four-
sided enclosure that contains the optical and electrical components of the
play tracking
and chip tray monitoring subsystems 56, 58, respectively. When in use on a
gaming
table 10, a front portion 122 of the side wall 120 faces the players 14, 16
and a rear
portion 124 of the side wall 120 faces the dealer 12 (Figure 1). The front
portion 122 of
the side wall 120 is slightly higher than the rear portion 124, and the chip
carrying
surface 116 slopes slightly downward from the front to rear.
A window 126 runs lengthwise along a bottom of each of the wells 118.
Alternatively, the window 126 can run along a side of the well 118. The window
126
includes a tinted shield 128 that protects the inner optical and electrical
elements of the
play tracking and chip tray monitoring subsystems 56, 58 from view by the
players 14,
16 and provides environmental protection for the components of the subsystems
56, 58.
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Figures 10-12 show the components of the chip tray monitoring
subsystem 58 mounted within the enclosure formed by the side wall of the chip
tray 36
p.:
including a chip reader 130 having a chip reading head 132 and a drive
mechanism 134.
The chip reading head 132 includes a linear color CMOS sensor 136, although
the chip
reading head 132 can employ other image capture devices, such as those
previously
described. The color CMOS sensors 136 permit the chip tray monitoring
subsystem 58
to work with existing chips and chip patterns, providing a significant
advantage to the
casino. The linear color CMOS sensor 136 is sensitive to the light passing
through the
tinted shields 128 in the wells 118 of the chip tray 36 (Figure 9).
The drive mechanism 134 includes a motor 138, pulleys 140 and a pair
of drive belts 142 coupling the motor 138 to the linear CMOS sensor 136 by way
of the
pulleys. The rotational drive of the motor 138 causes the linear CMOS sensor
136 to
oscillate along a linear rail 144 extending between a left side 146 and a
right side 148 of
side wall 120 of the chip tray 36, successively aligning the linear CMOS
sensor 136
with each of the windows 126 of the chip tray wells 118 (Figure 9). The linear
CMOS
sensor 136 thus images the chips 38 in each of the wells 118 in the chip tray
36. Chip
tray image data from the linear CMOS sensor 136 passes to the game table CPU
52
(Figure 3) for processing. The chip tray monitoring subsystem 58 can include
an
illumination source such as light emitting diode ("LED") 150 to illuminate the
chips 38
through the windows 126, or can rely on ambient lighting. The light emitting
diode
("LED") 150 is mounted to travel with the linear CMOS sensor 136, thus
reducing the
amount of power required to illuminate the chips 38.
In an alternative embodiment (not shown), the chip reading head 132
includes a two-dimensional CMOS sensor array, having a field-of-view covering
the
each of the windows 126. The two-dimensional CMOS sensor array eliminates the
need
for the drive mechanism 134. In a further alternative (not shown), the chip
reading head
132 includes a two-dimensional CMOS sensor array having a field-of-view
covering at .
least two of the windows 126, but less than all of the windows 126.
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Chip Tray/Play Tracking Subsystem
The play tracking subsystem 56 is shown in Figure 10 as including a
playing surface imager 152, positioned within the enclosure formed by the side
wall 120
of the chip tray 36 to provide an approximately 180 view of the playing
surface 26 in
front of the chip tray 36. In this embodiment, the playing surface imager 152
consists of
nine area CMOS color sensors C1-C9, although the playing surface imager 152
can
employ a lesser or greater number of sensors. Each of the CMOS color sensors
C1-C9
have a respective field-of-view 154. The playing surface imager 152 can employ
other
image capture devices, although area CMOS color sensors C1-C9 are particular
suitable
for imaging the chips 38 and cards of the deck 18 on the playing surface 26 of
the
gaming table 10, such as wager chips 22 and played cards 30-34. The CMOS color
sensors C1-C9 can each be mounted within a respective aperture 156 formed in
the front
portion 122 of the side wall 120, below the shelf 114, or can be aligned with
a
respective one of the apertures 156. The CMOS color sensors C1-C9 provide a
low
angle view of the playing surface 26 (approximately 15 ). This permits the
CMOS
color sensors C1-C9 to discern the height of the stacks of chips 22 for each
of the players
14, 16, including the edges of individual chips, and the any cards appearing
on the
playing surface 30-34. The low angle also reduces the effects of shadows,
typically
associated with overhead lighting. The color sensors C1-C9 produce table image
data
for processing by the gaming table CPU 52 (Figure 3) for processing.
With reference to Figure 13, the composite field-of-view formed from
the respective fields-of-view 154 of the nine CMOS color sensors C1-C9,
permits the
play tracking subsystem 56 to image substantially the entire playing surface
26 in front
of the chip tray 36. Thus, the CMOS color sensors C1-C9 image the wager chips
22 and
the played cards 30-34 of the players 14, 16 and dealer 12. By imaging at
successive
intervals, the play tracking subsystem 56 can detect the appearance or removal
of a card
30-34 or chip 22.
As discussed above and as shown in Figure 3, an opening 60 in the
playing surface 26 of the gaming table 10 can receive the chip tray 36, such
that the
upper portion 110 extends above the playing surface and the lower portion 112
extends
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below the plaing surface of the gaming table 10. The shelf 114 of the chip
tray 36 is
positioned spaced above the playing surface 26. Positioning the area CMOS
color
sensors C1-C9 below the shelf 114 shields the color sensors C1-C9 or apertures
156 from 4
the field-of-view of the players' 14, 16 when the chip tray 36 is on the
gaming table 10. . .
The shelf 114 also eliminates glare from overhead light, enhancing the image
capturing
ability of the CMOS color sensors C1-C9.
Drop Box/Cash Accounting and Validation Subsystem
The drop box 40 includes the cash accounting and validation subsystem
64 (Figure 3) to authenticate items 41 of value inserted into the drop box,
such as
currency and chips, and to automatically keep track of the denomination or
value of
those items 41. The cash accounting and validation subsystem 64 analyzes
images of
the items 41 of value to authenticate the items 41 based on certain features,
such as
security features, and to determine the denomination of the items 41.
Figure 14 shows the hardware components of the cash accounting and
validation subsystem 64, including an image sensor 158 and a dedicated
processor/controller printed circuit board ("PCB") 160 for processing the
image pixel
data from the image sensor 158. The image sensor 158 is a linear scan sensor
that
acquires high-resolution images selected portions of the item 41 of value. The
resolution of the image can be set according to the particular feature or
portion of the
item 41 being imaged. Similarly, the illumination characteristics can also be
set
according to the particular feature or portion of the item 41. This permits
each feature
or portion to be correctly analyzed to authenticate the item of value. The
image sensor
158 can image each security feature in the item 41, or only select features.
The image
sensor 158 can image entire features or portions of features. For example,
only a
portion of micro-print needs to be imaged to verify the authenticity of a
micro-print
feature. The cash accounting and validation subsystem 64 may alter the choice
of .
features or portions to make forging more difficult.
A digital signal processor central processing unit ("DSP CPU") 162,
(separate from the gaming table CPU 52) controls the operation of the
16
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processor/controller PCB 160. The processor/controller PCB 160 is coupled to
the
image sensor 158 to receive the image pixel data in response to a timing
= synchronization signal produced by a timing/synchronization signal
generator 164. A
digitizer/processor 166 receives the image pixel data from the image sensor
158 and
. _
produces image data that is buffered in an image data synchronization buffer
168. The
image data synchronization buffer 168 pass the image data through direct
memory
access to an image storage random access memory ("RAM") 170.
A processor bus 172 provides communications between the DSP CPU
162 and a number of memories, including the image storage RAM 170, a
code/variable
RAM 174 and a code/model flash ROM 176. The processor bus 172 also provides
communications between the DSP CPU 162 and a number of input/output ("I/0")
ports,
including a machine control 1/0 178, an operations communications port 180 and
a
diagnostics communication port 182. The machine control I/O 178 can control
the
position of the image sensor 158 with respect to the item 41 of value, for
example,
controlling a drive mechanism (not shown) that moves either the image sensor
158, the
item 41 of value, or both.
The processor/controller PCB 160 may include additional components,
or may eliminate some of the described components as will be recognized by
those
skilled in the art.
System Operation Overview
The overall operation of a monitoring system 50 used in the illustrate
embodiment of the invention is shown in Figure 15 as set out by discrete
functions. The
functions can be implemented in software, as described in the software
sections below.
A table monitoring logic function 302 serves as the central element of the
system,
receiving data from the various other functions. The table monitoring logic
302 uses the
data from the other components to verify game play, check for dealer errors,
and
provide data for employee and player analysis, as well as for reporting. The
table
monitoring logic 302 is driven by game events occurring at the gaming table 10
(i.e.,
=
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activity at the gaming table such as the placing of wagers, dealing of cards,
splitting of
card hands, etc.). -
=
A card verification function 304 reads identifying information from
every card in the deck 18 prior to any of the cards being removed from the
card shoe 20, -
and verifies that the deck 18 has not been tampered. The identifying
information can
identify every card 18 by rank and suit. The identifying information can
employ a
unique identifier, such as a unique serial number encoded in the machine-
readable
symbol 81 (Figure 5), that provides access to the rank and suit through a look-
up table
or algorithm. Card verification 304 provides card identifying information to
the table
monitoring logic 302.
A chip tray monitoring function 306 continually monitors the chips 38 in
the chip tray 36. Chip tray monitoring 306 provides a measure of the chip tray
contents
(i.e., counts and values of all chips 38 in the chip tray) to the table
monitoring logic 302.
The chip tray monitoring 306 can provide notice to the casino when a chip tray
36 at a
particular one of the gaming tables 10 is running low, to allow additional
chips to be
delivered to the gaming table.
A play tracking function 308 monitors the activity on the playing surface
26 of the gaming table 10. Play tracking 308 continually determines the
player's wager
chips 22, tracks the appearance, removal and position of cards 30-34 on the
playing
surface 26, and otherwise determines the occurrence of other game events. The
game
events are the stimuli that drive the operation of the monitoring system 50,
including the
table monitoring logic 302. Play tracking 308 provides wager and card
appearance
information to the table monitoring logic 302, as well as notice of the
occurrence and
identity of other game events.
A cash box processing function 310 authenticates items 41 of value
placed in the drop box 40, and determines the denomination of those items 41,
including
chips, currency, and other items of value. The reference to "cash" is simply
for
convenience and is not meant to limit the claims or description. The cash box
processing function 310 provides cash value data to the table monitoring logic
302.
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A player analysis function 312 receives data from the table monitoring
logic 302, and checks to determine if there are statistical signs of
prohibited player
= strategies, such as: card counting, knowledge of the top card; knowledge
of the hole
card; bet progressions; shuffle tracking; and chasing of Aces. The player
analysis 312
also builds a profile of the players 14, 16.
To analyze the player strategy, the gaming table CPU 52 can compare a
player's decision based on the player's knowledge of his own player held cards
30 as
well as any other face up played cards 30 on the gaming table (Figure 1) and
with
assumed knowledge of at least one other card, against a table of decisions the
would be
considered correct for a given strategy. The correct decision is constantly
updated
based on the dealt cards since the correct decision requires a knowledge of
the cards
presently held by the player. For example, under a "perfect" strategy, the
monitoring
system 50 would assume the player 14 knew the cards held by the player 14, the
face up
card 34 of the dealer 12, and the value of the next ("top") card in the deck
18 before the
next card is dealt. The monitoring system 50 accumulates a record of the
player's
performance under each strategy used by the system for analysis purposes.
Where the
player's record exceeds some statistically reasonable or meaningful
expectation, the
monitoring system 50 predicts that the player 14 is employing one of the
prohibited
strategies. The monitoring system 50 provides the prediction to casino
personnel, such
as the dealer 12. As shown in Figure 20, the monitoring system 50 may continue
to
track the player 14, making predictions, and comparing the predictions to
previous
predictions. By analyzing the history of predictions, the monitoring system 50
can
determine how accurate the predictions are, and change the point at which a
prediction
is made. For example, the monitoring system 50 can adjust the number of hands
required before making a prediction, or adjust the amount of statistical
aberration (Le.,
statistically meaningful) data required before making a prediction.
An employee analysis function 314 receives data from the table
monitoring logic 302 and analyzes the data for the employee dealer 12
efficiency,
performance and attendance.
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A report function 316 receives data from the table monitoring logic 302,
and analysis from the player and employee analysis 312, 314, respectively. The
report
function 316 generates appropriate reports regarding the playing habits of the
players
14, 16 and about the performance and efficiency of the employee dealer 12.
Reports
can cover all aspects of the gaming, including financial reports, statistical
reports based
on player profiles, human resources reports based on employee data and
marketing
reports.
Software Overview
A software system 350 for implementing the above described
functionality is shown in Figure 16. The system 350 includes a number of
discrete
software modules and hardware devices, that interact with the various
components of
the respective subsystems 56, 58, 62, 64 to acquire data, and in some cases to
interpret
or analyze the data and/or control the operation of the components. The
software
modules and the various hardware devices monitor and analyze the gaming
activity at a
single gaming table 10.
A play tracking and coordination software module 800 acts as the focus,
receiving data and signals from the other software modules, including: an
identify
wagers software module 400; an identify dealt cards software module 450; a
card order
reading software module 500; a bent card analysis software module 550; a tray
analysis
software module 600; and a bank inventory tracker software module 700. The
play
tracking and coordination software module 800 can also receive input from a
keypad
184, output game data 186, and produce alerts 188. Game events drive the play
tracking
and coordination module 800, which implements the table monitoring logic
function
302 (Figure 15), and thus controls the overall operation of the monitoring
system 50.
The software system 350 monitors all events occurring at the blackjack
gaming table 10 during the playing of the game and outputs status information
to an on-
line data base for immediate review and/or later review. The system 350 runs
on a ..õ
hardware platform that provides images of several different areas on the
gaming table
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10. The analysis of these images allows the system 350 to track the progress
of the
game.
Before play begins, the dealer 12 places a newly shuffled deck 18 of
playing cards 19 into the card shoe 20 (Figure 1), to read the bar code
symbols 81 from
the edge 74 of each of the playing cards 19 (Figure 5) that encode the
identifying
information for the cards. The bar code symbols 81 contains information
regarding the
rank and suit of each of the cards 19 in the deck 18, among other information.
The bar
coded information is held in memory and not decoded until the cards are dealt.
This
ensures that the system 350 will have no prior knowledge about the order of
the cards
that would yield an unfair advantage to either the house or the players 14,
16. Only
after the play tracking subsystem 56 detects a card being dealt (i.e., a new
card landing
on the playing surface 26) is the bar code symbol 81 for the card decoded. The
bar code
. data is also decrypted, if necessary. In an alternative embodiment, the bar
code symbol
81 can be decoded before the card is dealt, if the information is not
decrypted or
otherwise made available to the monitoring system 50.
As play begins, the components of the subsystems 56, 58, 62, 64 (Figure
3) continuously acquire images of the gaming table 10. For each image that is
centered
on one of the wager circles 24 (Figure 1), the area around the wager circle 24
is
compared to the same area in a previous image. If a difference is detected, it
is assumed
that a wager has been placed and the player's position in wager chips 22 or
equivalent
value is noted. For each image that has a view of the dealer position (i.e.,
area in front
of chip tray 36 and behind demarcation), a similar comparison with a previous
image
detects the presence of the dealer's cards 32, 34 (Figure 1). Once the
dealer's cards 32,
34 are detected, it is assumed that all wagers are final, and the most recent
images
containing wagers chips 22 are saved for processing. The system 350 is not
slowed by
this process since the detection processing on each image takes approximately
the same
amount of time as the acquisition of the next image.
At this time, the imaging of the chips 38 of the chip tray 36 is initiated
since the contents of the tray 36 should be static until the current play
round is over.
The imaging will take some time to complete, and the completed image is stored
until
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the round is finished when CPU time is available for the processing of the
completed
image.
Once play has begun, images of active player positions, determined by
the previous detection of wager chips 22, are scanned for the presence of new
cards.
Once a hit is detected at a particular player position e., an area proximate a
player's
wager circle 24), the card information for the newly played card is decrypted
and the
current value of the player's hand is determined. At this point, the value of
all previous
hands are examined to determine if the detected hit pattern is consistent with
the card
sequence up to this point. If the system 350 determines that the card sequence
is valid,
the accumulated event information is output to various reporting applications.
Since the actual card sequence may have been altered, either accidentally
or intentionally after the deck 18 was read, it is possible that the hit
pattern and the card
sequence may not agree. This would occur if a card was dropped and placed in a
discard rack, or if a new card were placed in the deck. If this occurs, the
system 350
will continue to accumulate data as new cards are played, and the system 350
will
attempt to resynchronize by shifting the assumed card sequence until it
matches the hit
pattern. Once this has been accomplished, the accumulated data is output.
When the dealer 12 finishes the play round, the stored images for the
wager chips 22 and the chip tray 36 are analyzed to determine the dollar
amounts that
should have been exchanged on that round. At this point, all accumulated
information
is output to the reporting applications and the software system 350 scans for
the start of
a next round of play.
Thus, the monitoring system 50 allows casino management to track
statistical information on possible player cheating, win/loss rates, and
employee
productivity in real-time. This is done in a discrete manner that does not
interfere with
the normal course of play. The individual software modules are discussed in
detail
below.
While Figure 16 sets out the software modules as discrete elements, the
software can be written as a single program, or in modules other than those
described.
Additionally, the instructions can be encoded in the system as hardware or
firmware. In
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= -
the illustrated system, the gaming table CPU 52 (Figure 3) executes the
modules other
than the bank inventory tracker software module 700. The dedicated DSP CPU 160
(Figure 14) executes the bank inventory tracker module 700. As described
above, other
= - more centralized or distributed arrangements are possible.
Identify Wagers Software Module/Identify Dealt Cards Software Module
The identify wagers software module 400 and the identify dealt cards
software module 450 cooperate with the play tracking subsystem 56 (Figure 3)
to track
and identify the occurrence of game events on the playing surface 26 of the
gaming
table 10 (Figure 1). Thus, the identify wagers software module 400 and the
identify
dealt cards software module 450 perform the play tracking function 308 (Figure
15),
recognizing the wagering and playing activity at the gaming table 10 (Figure
1).
Figure 17 shows a method of identifying wager chips 22 and dealt cards
30-34. The gaming table CPU 52 enters the routine 400 at an entry step 402.
The
gaming table CPU 52 determines the source of the image data in step 404. If
the source
of the event is not the CMOS color sensors C1-C9, the gaming table CPU 52 in
step 406
processes the image data (see description of Figure 18, below), and terminates
the
routine 400 at a Done step 408. If the source is the CMOS color sensors C1-C9,
the
gaming table CPU 52 determines if a player position is "Idle" in a step 410.
The player
position is "Idle" if no wager chips 22 are detected at the player position,
including the
wager circles 24.
If the gaming table CPU 52 determines that the player position is "Idle"
in step 410, the gaming table CPU 52 compares the wager circle 24 in the
present image
to the wager circle 24 in last image, in a step 412. In step 414, the gaming
table CPU 52
determines from the comparison whether wager chips 22 are present. If wager
chips 22
are present, the gaming table CPU 52 notes the presence of one or more wager
chips 22
for the player position in step 416, and passes control to step 418. If a
wager 22 is not
present, the gaming table CPU 52 pass control directly to step 418 to
determine whether
the position is a last player position. If the position is a last player
position, the routine
400 terminates at the Done step .408. If other player positions exist, the
gaming table
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CPU 52 scans the dealer position of dealer 12 for cards in a step 420. If in
step 422, the
gaming table CPU 52 does not locate cards at the dealer 12 positions, the
gaming table
_ =
CPU 52 starts acquisitions for all potential players in step 424. Otherwise
the gaming 11
table CPU 52 sets the player position as "Active" in step 426, and starts the
acquisition -.=
of all "Active" player positions and the dealer position in step 428. The
routine 400
terminates at the Done step 408.
If the player position is not "Idle," the gaming table CPU 52 scans for a
hit by one of the players 14, 16 (Figure I) in step 430. (The player position
is not "Idle"
if wager chips 22 are located at the player position.) If the gaming table CPU
52 detects
a hit in step 432, the gaming table CPU 52 processes the new card in step 434,
and
determines if the new card is the first hit for the player 14, 16 in step 436.
If in step
436, the gaming table CPU 52 determines that the new card is the first hit for
the player
. 14, 16, the gaming table CPU 52 outputs accumulated data for any previous
player in
step 438, and passes control to step 440. If the gaming table CPU 52 does not
detect a
hit in step 432, control passes directly to step 440. If the new card is not
the first hit for
the player, the gaming table CPU 52 passes control directly to the step 440,
where the
CPU 52 determines whether the player position is a last "Active" player
position. If the
gaining table CPU 52 determines that the player position is a last "Active"
player
position, the gaming table CPU 52 terminates the routine 400 at the Done step
408.
Otherwise, the gaming table CPU 52 scans the image data for a dealer hit in
step 442.
In step 444. the gaming table CPU 52 determines whether the dealer 12 took a
hit from
the scanned image data. If the gaming table CPU 52 determines that the dealer
12 took
a hit, the CPU 52 analyzes the wager chips 22 from the images at the start of
the round
in step 446, and starts acquisitions for all potential player positions in
step 448. If the
gaming table CPU 52 determines that the dealer 12 did not take a hit in step
444, control
passes directly to the step 448 where the monitoring system 50 starts
acquisitions for all
player positions. The routine 400 terminates at the Done step 408.
Figure 18 shows a software routine 450 of processing the image data
õ
referred to as the step 406 in Figure 17, above. The gaming table CPU 52
enters the
routine 450 at an entry step 452. In step 454, the gaming table CPU 52
determines if the
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image data is from the card reader 82. If the image data is not from the card
reader 82
(Figure 7), the gaming table CPU 52 determines that the image data must be
from the
µ.
chip reader 130 (Figures 10-12) of the chip tray 36 and stores the image data
to memory
for later processing in step 456. The routine 450 terminates at a Done step
458. If the
image data is from the card reader 82, the gaming table CPU 52 processes the
image
data in step 460 (see description of Figure 19, below).
In step 462, the gaming table CPU 52 determines whether the processing
is successful. If processing is successful, the gaming table CPU 52 outputs a
GO
command in step 464. If the processing is not successful, the gaming table CPU
52
checks a failure code in step 466. In step 468, the gaming table CPU 52
determines
whether the gaming table CPU 52 should make another attempt at processing the
image,
based on the failure code. If the gaming table CPU 52 determines that another
should
be made, the gaming table CPU 52 outputs a RETRY command in step 470 and
terminates the routine 450 at the Done step 458. If not, the gaming table CPU
52
outputs a STOP command in step 472 and terminates the routine 450 at the Done
step
458.
Card Order Reading Software Module
As shown in Figure 16, a card order reading software module 500
interacts with the hardware components of the card verification subsystem 62
(Figure 3)
to perform the card verification function 304 (Figure 15) by reading and
verifying the
cards in the card deck 18 before a first card is withdrawn from the card shoe
20 (Figure
1).
A method of implementing the card order reading software module 500
is shown in Figure 19. The card order reading module 500 will typically
execute after
the dealer 12 shuffles the card deck 18 and places the shuffled deck in the
card shoe 20.
The structure of the card shoe 20 aligns the cards in an offset fashion to
expose at least
the end portion 74 of the card bearing identifying information, in the form of
the
machine-readable symbol 81. As noted above, the bar code symbol 81 can
alternatively
be an area or matrix code, or stacked code selected from a symbology. The
symbol can
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also be any other markings on the card, including the rank and suit of the
card as is
normally printed on the card face 76. In some instances, the card deck 18
would not
have to be shuffled and the card reading head 84 would not have to be located
in the
card shoe 20.
The gaming table CPU 52 acquires an image of the coded object in step
502. For example, the linear CCD array 88 of the card reading head 84 passes
across
each of the cards in the deck 18, capturing an image of the bar code symbols
81 printed
the cards 19. In step 504, the gaming table CPU 52 locates the deck of cards
18 within
the image. In step 506, the gaming table CPU 52 compares the number of located
cards
= 19 in the image to the expected number of cards in the deck 18 to
determine whether all
of the cards in the deck 18 are present. If one or more cards are missing,
control returns
to step 502, to acquire another image. The card reader 82 can prompt the
dealer 12 to
realign the card deck 18, if necessary. If all of the playing cards 19 in the
deck 18 are
present, the gaming table CPU 52 reads the symbols 81 and produces raw, coded
data
bits in step 508. In step 510, the gaming table CPU 52 decodes the raw, coded
data.
The gaming table CPU 52 determines whether all of the bar code symbols 81 can
be
decoded in step 512. The decoding algorithm can include error checking. For
example,
the algorithm may be able to detect up to 32-bit errors and correct up to 16-
bit errors.
Other error checking schemes are possible. Control returns to step 502 if all
of the bar
code symbols 81 can not be decoded. The gaming table CPU 52 produces data 514
if
all of the bar code symbols 81 can be decoded.
Bent Card Analysis Software Module
As shown in Figure 16, a bent card analysis software module 550
interacts with the hardware components of the card verification subsystem 62
(Figure 3)
to perform the card verification function 304 (Figure 18) by reading and
verifying the
cards 19 in the card deck 18 before any card is withdrawn from the card shoe
20. -
The card reader 82 also checks the cards for crimping. Crimping
involves marking the cards 19 by bending or folding the card toward or away
from the
face 76 to identify the card's relative rank. For example, cards having a
value of ten,
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such as tens and face cards, can be bent upward. Additionally, or
alternatively, cards of
relatively low rank, such as two through five, are bent downward. The
convexity or
concavity in the card is subtle to avoid detection, but sufficiently
pronounced to be
perceptible by the player who has bent the card 19.
Tray Analysis Software Module
As shown in Figure 16, a tray analysis software module 600 interacts
with the hardware components of the chip tray monitoring subsystem 58 (Figure
3) to
perform the chip tray monitoring function 306 (Figure 15) by monitoring the
chips 38 in
the chip tray 36, either continually or periodically.
The tray analysis software module 600 relies on a color space
representation of color. Figure 21 shows a hue, saturation and intensity
("FITS") color
space 602. In the color space 602, "H" 604 represents the hue expressed as an
angle
between 00 and 360 , the "S" axis 606 corresponds to level of saturation
expressed as a
value from 0 to 1, and the "I" axis 608 corresponds to intensity expressed as
a value
from 0 to 255. Figure 22 shows an "XYZ" color space 610 equivalent to the HIS
color
space 602 of Figure 21. The XYZ color space 610 is a Cartesian representation
of the
=
HIS color space, having coordinates with a range of -1 to 1. The Cartesian
coordinates
of the XYZ color space 610 allow the differences between colors to be measured
as a
three-dimensional distance, permitting relatively easy comparisons of colors
using
standard vector algebra.
Figures 23-25 show methods of implementing the software, including
methods for learning new chip patterns (Figure 23), locating chips in an image
of the
playing surface of the gaming table (Figure 24), and recognizing the various
denominations of chips based on the chip patterns (Figure 25).
Learning New Chip Patterns
In Figure 23, the gaming table CPU 52 starts a training routine 612, at
step 614, to add new chip patterns (e.g., a band of colored markings around
the edge of
the chip) to a set of recognizable chip patterns stored in a memory. The
gaming table
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-- -
CPU 52 can start the training routine 612 each time the casino wishes to add a
chip
pattern to its set of recognizable chip patterns. The new chip pattern can,
for example, =
represent a new chip design for the casino, a new denomination of chips, or a
chip from
another casino that the first casino wishes to honor, or otherwise identify.
- =
In step 616, the gaming table CPU 52 receives a region-of-interest
("ROI") of an input image, consisting of an edge-on view of the chip. The
gaming table
CPU 52 can receive the image data from the gaming table CPU 52, or the image
data
can come from a system dedicated to imaging new chips. In step 618, the gaming
table
CPU 52 takes an average of the color information for each column of a color
pattern
carried on the edge 48 (Figure 2) of the chip 38, and creates a one-
dimensional array
representation or profile of the color pattern.
The CPU 52 traverses the profile, searching for changes in the color
using a color distance operator. To search the profile, the gaining table CPU
52 sets an
index to a first entry in step 620, and calculates the color distance between
the current
entry and the entry at an offset in step 622. The color distance operator
returns a scalar
value that is the linear distance between two colors in a three dimensional
color space
(i.e., the square root of the sum of the squares of the differences in each
color plane). If
the gaming table CPU 52 detects a change in the color greater than a
predefined
threshold in step 624, the gaining table CPU 52 calculates the length and
average color
for the preceding color segment in step 626. If the length exceeds a threshold
length in
step 628, the gaming table CPU 52 stores the length and average color in step
630. The
gaming table CPU 52 increments the index in step 632, and repeats the steps
until the
gaining table CPU 52 detects an end of line in step 634, concluding the
routine 612 at
step 636. Optionally, the gaming table CPU 52 can compare the color band
information
= to ensure that the new chip has a unique color scheme.
Locating Chip Positions
In Figure 24, the gaming table CPU 52 starts a chip locating routine 638,
at step 640, to locate one of the wager chips 22 in the color image of the
gaming table
10. The gaming table CPU 52 acquires a new color image in step 642, and
calculates
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the difference between the new color image and a previous color image in step
644.
The gaming table CPU 52 uses intensity planes of the color images, subtracting
each
successive image from the background image to obtain a gray level image. In
step 646,
the gaming table CPU 52 analyzes the difference image to locate areas of
difference or
"blobs." Higher gray level values indicate points of greater difference
between color
images. In step 648, the gaming table CPU 52 applies a threshold to the
difference
image, and runs a morphological or blob algorithm. The resulting binary image
determines the bounding boxes around the areas of significant difference.
These boxes
will contain any wager chips 22 in the field-of-view but may also contains
areas of
difference having no associated chips. In step 650, the gaming table CPU 52
performs
chip recognition within the bounding box, and terminates execution in step
652.
Recognizing Chips
In Figure 25, the gaming table CPU 52 starts a chip recognition routine
654, at step 656, to determine a number and total value of wager chips 22
wagered, from
the color image of the gaming table 10.
In step 658, the gaming table CPU 52 starts at the first row and column
of the ROI that may contain wager chips 22 and scans across the row looking
for
changes in color. In step 660, the gaming table CPU 52 calculates the color
distance
between a current pixel and an offset pixel, using the color distance operator
described
above. In step 662, the gaming table CPU 52 compares the color distance to a
threshold
value to detect a change in color. If the gaming table CPU 52 detects a change
in color
(L e., color distance > threshold), the gaming table CPU 52 calculates the
average color
and length of the segment in step 664.
In step 666, the gaming table CPU 52 compares the length and color of
each color segment to a list of segments for each of the recognizable chip
patterns stored
= in memory. If the gaming table CPU 52 finds a match in step 668, the
gaming table
CPU 52 increments a match count for the wager chip 22 in step 670. The gaming
table
CPU 52 increments the column index in step 672, and repeats the process until
the
gaming table CPU 52 detects an end of the column in step 674. The gaming table
CPU
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52 stores the value of the best match along the row into an array in step 676.
The
gaming table CPU 52 increments a row index in step 678, and repeats the
process until _ .
the gaming table CPU 52 detects an end of the rows in step 680. At the end of
the each
row, the value of the chip with the highest match count is stored in the
array, using the
row as an index into the array. Depending on the resolution of the image, each
wager
chip 22 is represented by one or more rows.
In step 682, the gaming table CPU 52 scans the array of values and
groups the rows with equal values into segments of approximately the same
height as a
wager chip 22. This permits the gaming table CPU 52 to determine the number
and
total value of the wager chips 22 in the image. The number and total value of
the wager
chips 22 are reported in step 684, and the routine 654 terminates at step 686.
Bank Inventory Tracker Software Module
As shown in Figure 16, the bank inventory tracker software module 700
interacts with the hardware elements of the cash accounting and verification
subsystem
64 (Figure 3) to perform the cash box processing function 310 (Figure 15) by
authenticating items 41 of value placed in the drop box 40 (Figure 1), and
determining
the denomination of those items, including chips, currency, and other items of
value.
The processor/controller PCB 160 (Figure 14) executes the bank inventory
tracker
software module 700.
Figure 26 shows the image sensor 158 (Figure 14) imaging a portion of
the item 41 of value (Figure 1) in step 702 (e.g., a bill). The DSP CPU 162
processes
the image pixel data, and compares the resulting image data with image data
corresponding to a number of known items of value to identify a type for the
item 41 of
value. In step 704, the processor/controller DSP CPU 162 branches control
based on
the type, to perform checking appropriate for the particular type of item 41.
If the DSP CPU 162 recognizes the item as U.S. currency, the DSP CPU
162 first determines an orientation of the item 41 in step 706, and determines
the
denomination and series of the item 41 in step 708. The denomination
represents the
value or amount of the item 41. The series identifies the date that the item
41 was
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printed or the group to which the item 41 belongs. The series can indicate
presence or
absence of certain security features in the item 41, for example micro-
printing, or a
security thread or band. The DSP CPU 162 can also use the series to help
verify a serial
number carried by the item 41. In step 710, the DSP CPU 162 determines whether
the
image sensor 158 is imaging a front or a back of the item 41. If image sensor
158 is
imaging the front of the item 41, the image sensor 158 reads a serial number
printed on
the front of the item 41 in step 712.
In step 714, the image sensor 158 images other portions of the item 41
using varying levels and types of illumination, as well as varying levels of
resolution.
The portions of the item 41 are generally selected for their inclusion of
security features.
While the location of these security features for each item type are defined
in a memory,
the DSP CPU 162 can randomly or pseudo-randomly vary the particular security
features examined and/or the portions of the security features that it
examines to make
forgery more difficult. For example, the DSP CPU 162 can select the portion of
the
item 41, the security feature, or the portion of the security feature from a
list of suitable
portions, security features or portions of security features. The list can be
specific to the
item type, for example, a one list for U.S. currency and another list for a
foreign
currency. The selection can be truly random, or can simply alternate among a
number
of defined portions to appear random to a counterfeiter. The DSP CPU 162
selects the
particular level and type of illumination, and selects the resolution
according to the
particular security feature being examined. The DSP CPU 162 selects the
illumination
and resolution characteristics for the particular item type from a set of
predefined
characteristics in one of the memories.
In step 716, the DSP CPU 162 examines the image data to determine
whether the paper is valid. For example, the DSP CPU 162 can identify the
number and
color of color threads (e.g., blue, red) in a portion of the paper. The DSP
CPU 162 can
activate a fluorescent illumination source where the security feature relies
on
fluorescence. If the DSP CPU 162 determines that the paper is not valid,
control pass to
= step 718, indicating an invalid bill has been identified. In response,
the DSP CPU 162
or some other controller can reject the item and/or provide a suitable
warning. In step
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720, the DSP CPU 162 examines the seal and other details of the item 41 to
determine
the item's validity. If invalid, control again passes to step 718 identifying
the invalid
=
item.
In step 722, the DSP CPU 162 determines if the item 41 is from the 1996
or later series. If the item 41 is from a series before the 1996 series, the
DSP CPU 162
stops testing, concludes the item 41 is valid, and passes control to step 724
identifying
the item 41 as valid. If the item 41 is from the 1996 series, or a later
series, the reader
continues testing, examining the micro-print on the item in step 726. Micro-
print is a
security feature added in the 1996 series to foil forgery using high quality
color copiers.
If the DSP CPU 160 determines that the micro-print is invalid, control passes
to step
718 indicating that the item 41 is invalid. If valid, the DSP CPU 162 examines
the item
41 for a security thread or security band in step 728. The security thread or
band is a
thin strip incorporate in the U.S. currency. If the DSP CPU 162 determines
that the
security band is invalid, control again passes to the step 718 indicating the
item 41 as
invalid, otherwise the item 41 is considered valid and control passes to step
724
indicating that the item 41 is valid. The DSP CPU 160 can examine other
security
features as desired,. such as a watermark.
If the item 41 of value is recognized as a piece of foreign currency, the
DSP CPU 162 determines the item's orientation in step 730, and the
denomination and
series of the item 41 in step 732. In step 734, the DSP CPU 162 determines
whether the
image sensor 158 is imaging a front or a back of the item 41. If image sensor
158 is
imaging the front of the item 41, the image sensor 158 reads a serial number
printed on
the front of the item 41 in step 736.
In step 738, the image sensor 158 images other portions of the item 41
using varying levels and types of illumination, as well as varying levels of
resolution.
In step 740, the DSP CPU 162 examines the image data to determine whether the
paper
is valid. In step 742, the DSP CPU 162 examines the image data to determine
whether =
the ink color and detail are valid. In step 744, the DSP CPU 162 examines
other
security features specific to the currency and determines whether those
features are
valid. In each case, control passes to step 718 to indicate that the item 41
is invalid if
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any feature is determined to be invalid. Otherwise control passes to the next
sequential
step, until all tests are complete and the item 41 is determined valid in step
724.
, If the item of value 41 is recognized as a piece of scrip, for
example
valuable paper issued by the casino, the DSP CPU 162 determines the item's
orientation
in step 746. In step 748, the DSP CPU 162 causes the image sensor 158 to
locate and
read a machine-readable symbol encoding identifying information for the scrip.
For
example, a bar code symbol can encode the series, denomination, serial number
and
identification of an issuing facility.
In step 750, the image sensor 158 images other portions of the item 41
using varying levels and types of illumination, as well as varying levels of
resolution.
In step 752, the DSP CPU 162 examines the image data to determine whether the
paper
is valid. In step 754, the DSP CPU 162 examines the image data to determine
whether
the ink color and detail are valid. In step 756, the DSP CPU 162 examines
other
security features specific to the currency and determines whether those
features are
valid. In each case, control passes to step 718. indicating that the item is
invalid if any
feature is determined to be invalid. Otherwise control passes to the next
sequential step,
until all tests are complete and the item 41 is determined valid in step 724.
Play Tracking Software Module
Figure 16 shows the play tracking and coordination software module 800
receiving data and signals from the various other software modules to
determine the
occurrence and identity of the game events, as well as, the player wagering
and identity
of player's cards 30. Thus, the play tracking and coordination software module
800
performs the table monitoring logic function 302 (Figure 15).
Figure 27 shows a simplified flowchart the play tracking and
coordination software module 800 for monitoring the gaming table 10 when used
for a
blackjack game. For the sake of clarity, Figure 27 does not represent several
parallel
processes, such as monitoring the chip tray 36 and the drop box 40 that are
identified in
other Figures. The gaming table CPU 52 starts the play tracking and
coordination
software module 800 in step 802. The appearance of one or more wager chips 22
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(Figure 1) in the wager circle 24 on the gaming table 10 may trigger the start
of the play
tracking and coordinate software module 800.
In step 804, the gaming table CPU 52 determines whether there are any
wager chips 22 on the gaming table 10 (Figure I). Typically, the gaming table
10 will
have a demarcated area for wagering, for example the wager circles 24 in front
of each
player position. Any wager chips 22 within the demarcated area constitute a
wager,
while chips not within the wager circles 24, such as chips 28, 38 are not a
part of any
wager. The gaming table CPU 52 relies on data from the identify wagers
software
module 400 (Figure 16) to identify the wager chips 22. If there are wager
chips 22 the
gaming table CPU 52, in step 806, determines if any of the wager chips 22 are
new. If
the gaming table CPU 52 locates a new wager chip 22, the gaming table CPU 52
causes
a player to be added in step 808. If the gaming table CPU 52 does not locate
new wager
chips and hence a new player, the gaming table CPU 52 determines whether cards
32,
34 have been dealt to the dealer 12 in step 810. The gaming table CPU 52
relies on data
from the identify dealt cards software module 450 (Figure 16) to identify the
appearance
of the dealt cards 32, 34. If the cards 32, 34 have not been dealt to the
dealer 12, the
gaming table CPU 52 returns to step 804, again checking for wager chips 22.
If cards 32, 34 have been dealt to the dealer 12, the gaming table CPU 52
in step 812, determines the identity of the cards 30 held by each of the
players 14, 16
and the dealer 12. The gaming table CPU 52 relies on the information from the
card
order reading software module 500 (Figure 16) that identifies the value of
each card in
the order that the card appears in the deck 18. By tracking the appearance of
cards 30-
34 on the gaming table 10, the gaming table CPU 52 can match the order of
appearance
and the order of the card deck 18 to determine the value of the cards 30-34
held by the
players 14, 16 and the dealer 12.
In step 814, the gaming table CPU 52 determines whether any player has
split their hand. Again, the gaming table CPU 52 is relying on data from the
identify
dealt cards software module 450 (Figure 16) to identify the appearance and
location of
õ
cards 30 on the table. The play tracking subsystem 56 can determine when one
of the
cards 30 has been moved from a first position representing one hand, to a
second
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position representing a second hand. In step 816, the gaming table CPU 52 adds
a
"new" player if any player has split their hand. In. step 818, the gaming
table CPU 52
determines whether any of the players 14, 16 have "doubled down" their wager
chips
22. The play tracking subsystem 56 can determine when wager chips 22 have been
moved from a first position to a second position representing the doubling
down. In
step 820, the gaming table CPU 52 appropriately modifies the wager amounts if
any of
the players 14, 16 doubled down.
In step 822, the. gaming table CPU 52 waits for the dealer 12 to take an
additional card or to stand. In step 824, the gaming table CPU 52 computer
determines
the wins and losses based on its knowledge of the value of each card held by
the player
14, 16 and the dealer 12. In step 826, the gaming table CPU 52 checks the
calculated
winnings to be paid out and losses against the changes to contents of the chip
tray 36.
The gaming table CPU 52 determines whether there is a discrepancy in step 828,
reporting any possible error in step 830 for possible verification and action,
and
finishing execution at a restart step 832. If the gaming table CPU 52
discovers a
discrepancy in the order of the cards in the discard holder, or an unexpected
card, the
gaming table CPU 52 reports the error in the step 830.
If gaming table CPU 52 does not detect a discrepancy, the gaming table
CPU 52 checks cards placed in a discard holder (not shown). If gaming table
CPU 52
discovers no discrepancy in step 836, the gaming table CPU 52 compiles a set
of result
statistics in step 838, and prepares for a next hand or game by passing
control to the
restart step 832.
Integrated Casino System
A number of gaming tables 10 are shown in Figure 28 networked over a
computer network, such as an Ethernet LAN 900 to a server 902 and a central
database
including raw event data 904 and other data 906. The gaming table CPU 52
executes
play tracking and image analysis software 908 for each gaming table 10, and
can
execute a software module 910 for performing surveillance analysis, a software
module
912 for performing dealer performance evaluations and a software module 914
for
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performing real-time data transmission. Additional computers 916, 918 can
access the
information in the central database to perform surveillance monitoring and
reporting,
-
respectively. The networking of gaming tables 10 provides a number of
benefits, such
as casino-wide, real-time accounting, casino-wide tracking of players, and
real-time _
progressive gaining, as described in detail below.
Figure 29 shows the operation of one of the networked gaming tables 10.
The play tracking software 908 broadcasts a series of messages 920 that
indicate the
events detected on the gaming table 10 to the other software modules. For
example, the
play tracking software 908 broadcasts a card decode event each time a new card
is
detected on the playing surface 26 (Figure 1). The card order reading software
module
500 receives the message and decodes the symbol of the respective card 19 to
identify
the rank and suit of the card. Similarly, a broadcast of game action events
causes a
surveillance module 922 to execute surveillance analysis software 924 to
detect suspect
playing and wagering patterns. The broadcast of an employee event (e.g.,
changing
dealers at a gaming table, etc.) triggers an employee data logging 926. The
monitoring
system 50 stores play information 928 and employee information 930 in a
!database 932.
An image acquisition driver 934 drives the image acquisition, while a table
position
mapping module 936 interacts with the play tracking and image analysis
software 908
to locate the position of wager chips 22 and cards 30-34 on the gaming table
.10.
Player Profiling and Identification
To create a comprehensive player profile, the monitoring system 50
tracks players 14, 16 from gaming table 10 to gaming table 10, or from time to
time at
the same gaming table 10. The monitoring system 50 can rely on some, or all,
of a
variety of player tracking methods to identify players 14, 16 as they move
between
gaining tables 10, or as the player 14, 16 resumes playing after a period of
inactivity
(e.g., a few minutes, days, months, or years).
Some players 14, 16 will present a player identity or "comp" card (not
õ
shown), that contains player identifying information. The ability to receive
complimentary benefits provides an incentive for the players 14, 16 to present
such a
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card. The card may include identifying information, such as a name, address,
and/or a
unique serial number encoded in a magnetic stripe on the card.
Some players 14, 16 are reluctant to present such identifying information
to the casino, especially players that are employing prohibited tactics. The
system
employs other methods for identifying these players 14, 16, for example,
automated
facial recognition. Video cameras 5 (Figure 1) at the gaming tables 10 provide
images
of the players 14, 16 at each playing position. The monitoring system 50 can
process
the image data, and compare the image data taken at different times to match
facial
characteristics, such as hair color, eye color, the presence of facial hair,
or other facial
features. The monitoring system 50 can use the matching to uniquely associate
the
player 14, 16 with an identity. Alternatively, the monitoring system 50 can
use the
matching to identify the player 14, 16 as being the same player who played at
a different
gaming table 10 or at the same gaming table 10 at a different time. It is not
necessary to
identify a player by name to build a player profile. For example, the
monitoring system
50 can track a non-identified player across a number of gaming tables 10 to
establish a
pattern of prohibited playing strategies. The particular player 14, 16 can
then be asked
to leave the casino without ever specifically identifying the offending player
by name.
A still further method of identifying players 14, 16 is through the
tracking of wager chips 22. Each chip can have a unique serial number. The
monitoring system 50 associates a wager chip 22 with a player 14, 16 when the
player
initially receives chips at the casino's bank. The monitoring system 50 scans
the chips
38 in the chip tray 36 after each hand or round. The monitoring system 50 can
employ a
knowledge of the chip contents of the chip trays 36 to track the path of a
particular chip,
from gaming table to gaming table, and to some extent, from player to player.
While
such information may not absolutely identify a player 14, 16, it can eliminate
some
players and increase the probability of correctly identifying a particular
player 14, 16.
For example, the monitoring system 50 can record an association
between the first player 14 and the identifiers of a number of chips initially
issued to the
first player 14 by the casino. The monitoring system 50 can then identify the
first
player 14 at a first one of the gaming tables 10, through the "comp" card,
facial
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recognition and/or the appearance of one or more of the issued chips in the
chip tray 36
at the first table. The monitoring system 50 can ascertain the identity of the
second
,
player 16 at a second one of the gaming tables when a wager chip 22 lost by
the first
player 14 at the first gaming table 10 turns up in the chip tray 36 at the
second gaming -
table. Once the wager chip 22 disappears from the chip tray 36 at the first
gaming table
10, the monitoring system 50 assumes that one of the winning players at the
first
gaining table received the chip lost by the first player 14. Facial
recognition may
eliminate one or more of the winning players 16, allowing the monitoring
system 50 to
identify the player 16 through the combination of chip tracking and/or facial
recognition.
Progressive Gaming
The networked monitoring system 50 of Figures 28 and 29, permits the
playing of a progressive game in real time, based on the outcomes of games on
multiple
gaining tables 10. Thus, the financial performance of each gaming table 10 can
be
linked. For example, a payout for a winning player 14, 16 at one of a group of
gaming
tables 10 may be increased over the normal table odds after a period of losses
at the
group of gaming tables, or based on an entire amount of losses at the group of
gaining
tables. Thus, as time goes on the size of the payout increases, or a jackpot
grows.
Simulated Representation of Actual Gaming Environment
Figure 30 shows a simulation 950 of an actual gaming environment on a
monitor 952. The simulation 950 includes a graphical representation of the
playing
surface 954, including a graphical representation of the wager chips 956
placed by the
players 14, 16 (Figure 1) at the various playing positions and a graphical
representation
of the cards 958 dealt to those players and the cards 960 dealt to the dealer
12,
represented at a given point in the game. While the player's cards 958 are
typically
faced down during play, the monitoring system 50 knows the identity of the
cards 958,
960, so the graphical representation can show the rank and suit of each of the
cards 958,
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960 marked on the graphical representations of the cards 958, 960. The
player's hands
can also be represented as a chart 962, and a date and time of day displayed
964.
The simulation 950 also includes a graphical representation of the chip
tray 966 and the chip 968 contents of the chip tray at the given point in the
game. The
simulation can include a representation of the number of chips of each
denomination, as
well as total amounts for each denomination of chip and for the entire chip
tray in a
chart 970.
The simulation 950 can further include a table of statistics 972 for the
players, table and dealer. These statistics are computed by the gaming table
CPU 52.
Additionally, the simulation can include a graphical representation of the
playing
patterns of the individual players at each of the playing positions (numbered
1-7) in
table form 974, along with a prediction on whether the player is employing a
prohibited
strategy, such as card counting. The monitor 952 can be at the gaming table 10
and/or
at a central security station, or elsewhere in the casino to be monitored by
casino
security personnel.
System Summary
The above description sets out a non-intrusive system to record and
analyze data for accounting, marketing and/or financial purpose. Further
details are set
out in applicants' U.S. patent No. 6,460,848 entitled "TRACKING SYSTEM FOR
GAME OF
CHANCE."
Although specific embodiments of, and examples for, the invention are .
described herein for illustrative purposes, various equivalent modifications
can be made
without departing from the spirit and scope of the invention, as will be
recognized by
those skilled in the relevant art. The teachings provided herein of the
invention can be
applied to monitoring systems for other wagering games, not necessarily the
exemplary
blackjack card game generally described above. For example, the table
monitoring
subsystem can track gaming objects other than cards, such as dice 1,2 shown in
Figure
31, the position of a ball 3 relative to a wheel 4 as shown in Figure 32, or
the position of
a wheel of fortune 6 relative to a pointer 7 as shown in Figure 33. In each
case, image =
39
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data of the gaming object is compared at successive periods of time to
determine the
outcome of the game play. This image data can be combined with image data
corresponding to the wagers placed by the players to determine the amounts won
or lost
by the players. These amounts can be compared with the changes to the amounts
in the
chip tray based on the comparison of successive images of the chip tray.
The system can employ other methods of automatically tracking the
contents of the chip tray, and the identity and position of the gaining
objects. For
example, the chips and/or the gaining objects can have symbols other than
optically
detectable symbols, for example magnetic stripes, encoding the identifying
information.
The system would then include 'magnetic readers in addition to, or instead of
optical
readers such as imagers, scanners and other image capture devices.
The monitoring system can have a different organization than the
illustrated embodiment, combining some functions and/or eliminating some
functions.
The system can employ some of the disclosed automated components for some
functions, while relying on manual methods for other functions. The system can
be
more centralized, or more distributed, as is suitable for the particular
gaming
environment.
The various embodiments described above can be combined to provide
further embodiments.
Aspects of the invention can be modified, if necessary, to employ
systems, circuits and concepts of the various patents, applications and
publications to
provide yet further embodiments of the invention.
These and other changes can be made to the invention in light of the
above-detailed description. In general, in the following claims, the terms
used should
not be construed to limit the invention to the specific embodiments disclosed
in the
specification and the claims, but should he corstrued to include all gaining
monitoring
systems and methods that operate in accordance with the claims. Accordingly,
the
invention is not limited by the disclosure, but instead its scope is to be
determined
entirely by the following claims.
