The embodiments of the present invention relate to an automatic playing card shuffler and other card-handling devices incorporating means for detecting various types of marked cards to maintain the integrity of casino games.
Cheats have been around as long as gambling. With the advancement of technology, come new methods for cheats to take advantage. One such method involves marking playing cards such that cheats are able to discern a card's identity (i.e., rank and suit) from the card back. Knowing the rank and suit provides the cheat with a tremendous advantage over the casino (e.g., blackjack) or competing players (e.g., poker). Marking playing cards can take many forms including the use of invisible chemicals viewable through special lenses, the use of chemicals only viewable via electronic means, physical demarcations and anomalies, smudges, etc.
It would be useful and advantageous to develop an automatic playing card shuffler and other card-handling devices incorporating means for detecting marked cards of various types to prevent cheats from taking advantage of casinos and competing players.
Accordingly, one embodiment of the present invention comprises: an automatic playing card shuffler incorporating means for detecting marked cards. Automatic playing card shufflers have been around for approximately 25 years and are now ubiquitous in the casino industry. Automatic playing card shufflers speed up games, generate reliable, random card shuffles and combat card counters. Automatic playing card shufflers transport cards using various technologies which ultimately randomize the order of the cards.
In one embodiment of the present invention, one or more light spectrum emitters or variable light spectrum illuminators transmit light at frequencies/wavelengths which is reflected off card backs through one or more spectrum filters causing invisible markings to become visible. A camera (or other image capturing device) captures images of the now visible markings.
In one embodiment, a camera and software collaborate to capture images and analyze the same for markings on the card backs such as smudges, nicks, scuffs and edge demarcations. Software may also be configured to analyze cards through and cause an image to be captured responsive to the detection of a marked card.
In one embodiment, the automatic playing card shufflers are configured to not only detect marked cards but to detect patterns relative to the card markings. For example, the automatic playing card shufflers may recognize that markings on multiple Aces in the deck of cards are indicative of an intentional act rather than an inadvertent act.
In one embodiment, the automatic card shufflers are communicatively linked with a casino management system and/or security system such that casino personnel may be alerted in real time to the discovery of marked cards.
The discovery of one or marked cards may prompt one or more responses including: (i) recordation of an image of the marked card(s); (ii) transmission of an alert to casino personnel; (iii) trigger of software configured to determine card marking patterns; and/or (iv) continued analysis to seek the identity of the person or persons responsible for the card markings.
In another embodiment, a card sorting, verification and/or cancellation device incorporates means for detecting marked cards. Card cancellation devices are used to verify the ranks, suits and numbers of playing cards from retired decks of cards. The devices may also permanently deface the playing cards to allow the playing cards to be sold to patrons. For example, the card cancellation device may punch a hole in the playing cards. A card sorting and verification device ensures full decks and sorts the cards by suits and ranks.
Other variations, embodiments and features of the present invention will become evident from the following detailed description, drawings and claims.
For the purposes of promoting an understanding of the principles in accordance with the embodiments of the present invention, reference will now be made to the embodiments illustrated in the drawings and specific language will be used to describe the same. It will nevertheless be understood that no limitation of the scope of the invention is thereby intended. Any alterations and further modifications of the inventive feature illustrated herein, and any additional applications of the principles of the invention as illustrated herein, which would normally occur to those skilled in the relevant art and having possession of this disclosure, are to be considered within the scope of the invention claimed.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or computer program product. Accordingly, aspects of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, etc.), or an embodiment combining software and hardware. Furthermore, aspects of the present invention may take the form of a computer program product embodied in one or more computer readable medium(s) having computer readable program code embodied thereon.
Any combination of one or more computer readable medium(s) may be utilized. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), and optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied thereon, for example, in baseband or as part of a carrier wave. Such a propagated signal may take any variety of forms, including, but not limited to, electromagnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF and the like, or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like or conventional procedural programming languages, such as the “C” programming language, AJAX, PHP, HTML, XHTML, Ruby, CSS or similar programming languages. The programming code may be configured in an application, an operating system, as part of a system firmware, or any suitable combination thereof. The programming code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on a remote computer or server as in a client/server relationship sometimes known as cloud computing. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).
Aspects of the present invention are described below with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer readable medium that can direct a computer, other programmable data processing apparatus, or other devices to function in a particular manner, such that the instructions stored in the computer readable medium produce an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. As used herein, a “terminal” should be understood to be any one of a general purpose computer, as for example a personal computer or a laptop computer, a client computer configured for interaction with a server, a special purpose computer such as a server, or a smart phone, soft phone, tablet computer, personal digital assistant or any other machine adapted for executing programmable instructions in accordance with the description thereof set forth above.
The one or more cameras 210 are positioned to capture the front and back of the playing cards as the playing cards are moved individually within the automatic playing card shuffler 205. In one embodiment, one camera 210 is positioned proximate to a spectral filter 220 and is configured to capture an image of the card backs as the one or more light spectrum emitters 215 is in operation. In this manner, the camera 210 captures any invisible markings made visible by the spectral filter 220 and light spectrum emitter 215. In one embodiment, the one or more spectrum emitters/variable light spectrum illuminators 215 may comprise an infrared emitter, UV emitter and/or incandescent emitter. Other emitters/variable light spectrum illuminators or devices capable of transmitting desirable light wavelengths may be utilized as well. To enhance the capability to detect invisible (to the naked eye) marks, the spectral filter 220 is configured to prevent the passage of certain light wavelengths while allowing others to pass through to the camera 210. The spectral filter 220 may take many forms and are selected to cooperate with the various spectrum emitters/variable light spectrum emitter/illuminator 215. The spectral filter 220 enhances the ability to detect polarized and subtle reflectivity facilitated by the spectrum emitters/variable light spectrum illuminator 220.
In another embodiment (shown in
In one embodiment, playing cards are transported at a rate providing a resolution of 200 by 200 pixels per square inch giving 350,000 scan points for every playing card which occurs at each of 10 scan locations resulting in a total of 3.5 million points of analysis. Those skilled in the art will recognize that the rate, resolution and number of scanning locations can be altered as desired.
In addition to the efforts to detect invisible markings, the one or more cameras 210 cooperate with software to detect other card markings such as smudges, nicks and scuffs and edge demarcations (e.g., notches). The software is configured to analyze a card image (or live feed of the playing card) for unusual markings which are not normally present. In one embodiment, the software is able to evaluate captured playing card data by comparing stored card data against captured card data for differences. For example, an image of an ideal Hoyle®. playing card is stored in memory and used to compare against captured playing card data from one or more Hoyle® decks of cards. In such an embodiment, the shuffler, or other randomization device may include input means for identifying the brand of playing being used or the device may automatically identify the brand of playing cards being used. Alternatively, the software is able to evaluate the captured card data by locating imperfections on one or more playing cards from amongst the aggregate group of playing cards. In this embodiment, images of the cards being used may be compared to one another rather than a stored playing card image. Alternatively, the software is able to evaluate captured playing card data by identifying any non-symmetric or non-pattern marking which is captured. Regardless of the embodiment, the software is evaluating the playing card data captured by the arrangement of illuminators/emitters and sensors/readers to detect anomalies. With a camera positioned to capture a card front (i.e., rank and suit), the software is able to maintain a record of the marking and playing card suit and rank. For example, the software may generate a record of “Ace of Hearts—Notch Along Edge” or “Ace of Hearts—Smudge.”
In one embodiment, a pair of edge sensors/detectors 225-1, 225-2 are positioned along opposite long edges of the playing cards as they pass by the pair of edge sensors/detectors 225-1, 225-2. The edge sensors/detectors 225-1, 225-2 are configured to detect bends, waves or snakes in the cards. A single edge sensor along one edge may suffice as well.
In one embodiment, the outputs of the camera 210, edge sensors 225-1, 225-2 and/or contact image sensors 310 (and any other card-handling devices configured to read the playing cards) are analyzed by proprietary software to determine if any unusual markings are present. If so, the outputs may be stored in memory 240 and as described below transmitted to casino personnel.
Advantageously, the system 400 utilizes collective data from two or more live decks (or sets of decks), two or more shufflers and/or two or more casinos to make game-protection decisions at a single game. The system provides automated protection on all games simultaneously, whether in one casino, or two or more networked casinos, without the need to remove suspect decks from play to conduct tests.
In one embodiment, smart cameras are used within (or mounted to) the shuffler. Smart cameras act as stand-alone vision systems containing a processor and often include image digitalization circuitry, image memory, program and data memory, communication interface (e.g., Ethernet), built-in illumination device (e.g., LED) and/or a real-time operating system. In one embodiment, each shuffler contains at least two computer-vision related processors: a smart camera processor and image processor (separate chip). The two processors combined with a third processor (server) each play a role in conducting the tests and corresponding analytics. Besides smart cameras, line-scan cameras, area-scan cameras, etc.
In one embodiment, the systems 200, 400 are configured to first detect (a) presence, (b) the marks and (c) the corresponding strategy. In other words, the first test detects the anomaly; the second test detects the marks and the third test provides the details, strategy and combination. In one embodiment, the camera's processor performs the first test; the image processor performs the second test; and the server's processor performs the third test.
In one embodiment, as shown in
With sensors built into and concealed in the pre-shuffle bin, shuffler, dealing shoe, post-shuffle bin and discard rack the present invention monitors and analyzes the cards before the shuffle, during the shuffle, after the shuffle, during the deal and after the deal, resulting in multiple layers of confirmation and protection, all occurring during a single round/deal (shuffle to shuffle).
During the detection process, the present system utilizes the degree of measurement to distinguish marks from defects. If a particular measurement is ranked 1-10, where 10 is the strongest indicator of an anomaly, just one or two anomalies, including card manufacturing asymmetries, can suggest foul play whereby only one or two mid-range anomalies may require more data before rendering any conclusions. In other words, some of the tests, when repeated, may have some variance, but the stronger the degree of anomaly, the more weight the measurement/reading is given. Some marking substances can oxidize within hours. By detecting marks immediately (i.e., during the subsequent shuffle), such concerns are eliminated. For example, should a marked deck be introduced from the inside (i.e., the entire deck is marked when it's introduced), it takes only one shuffle for the present system to detect the scam. Not only will the marks be detected, the present system detects the marked-card combination, positively proving the existence of a scam.
Using the degree of anomaly, the present system can detect defects and distinguish them from other anomalies/marks by evaluating (a) the measurement's degree of anomaly, (b) consecutive-round analysis and (c) the corresponding card value. A database of defects is used to compare defects to determine the reliability of the detected defect.
Using historical data can lead to reliable conclusions. For example, after scanning ten million red-backed Bee cards from the United States Playing Card Company during a given time period, if eighteen anomalies are detected on a blackjack table at given dates and times and each anomaly is confirmed to be marked on Tens and Aces, it is apparent a scam is occurring or did occur. Such data evidences intentional markings.
The present system may be programmed to send a first alert or general warning that the analysis on a particular game has hit a certain threshold, which then allows casino personnel to take a closer look at the suspect game. If the action is small, it still might indicate a scam in progress, but before the scammers leave the table. Indeed, round-to-round alerts can be sent to management, giving them real-time updates so they can better monitor and manage the situation. Daily summary reports may be sent to casino personnel to keep them informed as to possible scams. Overall, the system removes human tolerances and relies on cameras/sensors and evaluation software to automatically detect card anomalies.
In one embodiment, the shuffler system does not utilize one or more arbitrary cards—presumably legitimate—for comparison purposes (whether actual cards or database images); instead, the shuffler system uses a statistically significant sample consisting of past and present measurements to define a normal range by which to make comparisons—a sample that may exceed millions of cards. The database maintains a record of card markings such that future markings can be identified by comparison to previously identified and stored markings.
In one embodiment, card images are passed through photo editing software configured to specifically identify card marks. In one example, Adobe Photoshop® is manipulated to reveal or enhance card marks meant to be concealed from the naked eye. Such marks are normally viewed through filters in the form of glasses, sunglasses and/or contact lenses worn by scammers. Manipulating the photo editing software's black, exposure, threshold, hue and/or saturation levels reveals certain marking systems including shading and daubing as well as others.
In one embodiment, as shown in the block diagram of
Detecting the various card markings and anomalies via a card shuffler utilizes, in one embodiment, unique software routines/applications/modules (“software modules”). The software modules are configured to detect specific markings or anomalies. For example, in one embodiment, a software module is configured to detect cutouts which are is a marking system involving the removal of part of a card design. There are two general methods: chemical and physical. Solvents can penetrate, evaporate, and crystallize the ink so it can be wiped off, although the most common methods entail simply cutting, sanding, and scratching the design—some cheaters, for example, have been known to use hidden strips of sandpaper glued to the fingers. The software module, in this instance, utilizes a standard pattern recognition to conduct a pixel-by-pixel comparison.
In another embodiment, another software module is configured to detect sorts which involves card manufacturing tolerances. Playing cards are manufactured within certain printing and cutting/punching tolerances, so variances may exist in back-design positioning, color, and tone. Variances may also exist as a result of changes in paper, plates, and the environment. The tolerances create differences in decks that allow cards to be sorted from two or more decks and combined to make one marked deck. The software module, in this instance, counts the grayscale pixel values over a predetermined strip along the long sides of each card. The values range from 0-155. The value 0 represents black (no light); the value 255 represents white; everything in-between represents a shade of gray. Assume the classic Bee Card and its all-over diamond back (design runs off the edges; no borders). For one example of a sort deck, assume that the low cards depict ½ diamonds on both sides, but the high cards depict ¼ diamonds on one side and ¾ diamonds on the other (off-set). The software module converts the printed color (e.g., red or blue) to black (value 0) and averages the number of predetermined pixels in a predetermined area. A side with ¾ diamonds will average lower (more zeros) than a side with ¼ diamonds. A side with ½ diamonds will average somewhere in between. Therefore, the software module receives three measurements representing ¾ diamonds, ½ diamonds, and ¼ diamonds. If the software module detects a card's edge with ¾ diamonds or ¼ diamonds, it reads it as ‘off-set’ and outputs FAIL—a marked card. If the software module detects a card's edge with ½ diamonds, it reads it as evenly cut/punched or printed and outputs PASS—an unmarked card.
Applicant's random-selection shuffler (Co-pending U.S. patent application Ser. No. 15/145,592) is optimal for the marked card detection shuffler technology disclosed herein because the methodology naturally isolates each card during the shuffling process, allowing each card to be imaged in its entirety. Conversely, with random-position shufflers, and most other shufflers, several components and design elements tend to block the view of cameras and sensors. For example, rollers driving cards off the top of the deck can block part of the card. When each card is moved directly onto a platform, or into a bin, shelf, or slot, again, the process can block the camera/sensor.
The inventors have determined that smart cameras can detect up to 90% of marked cards. The other 10% may be captured by measuring size, corner radius, etc. (such tests can be used to detect an entire category of marked cards). Other embodiments may utilize ultrasonic analysis, optical tests that perform a chemical analysis, etc.
In one embodiment, the automatic playing card shuffler is able to track the cards which are dispensed and the order of the same, which along with means for detecting the marked cards, allows a casino to secretly determine which player or players are responsible for marking the cards and discipline them accordingly. By detecting scams secretly, casino personnel can determine which player(s) are part of the scam.
The system may also identify normal wear and tear associated with shuffled playing cards so that casinos may determine when to swap out decks. This can result in savings to the casinos.
Besides automatic playing card shufflers, deck verification devices and card sorting devices, applicant has conceived of incorporating certain components (e.g., emitters and spectral filters) into a pair of eyeglasses whereby a user is able to detect certain card markings when wearing the eyeglasses. Applicants incorporate herein by reference Application No. 61/830,565 filed Jun. 3, 2013 and entitled Mobile Device for Detecting Marked Cards and Method of Using the Same.
Although the invention has been described in detail with reference to several embodiments, additional variations and modifications exist within the scope and spirit of the invention as described and defined in the following claims.
This application is a continuation-in-part of U.S. patent application Ser. No. 15/001,039 filed Jan. 19, 2016 which is a continuation of PCT Application No. PCT/US2014/047227 filed Jul. 18, 2014 and U.S. Patent Application No. 61/847,710 filed Jul. 18, 2013 from which PCT Application No. PCT/US2014/047227 claims priority, all of which are incorporated herein by reference for any and all purposes.
Number | Date | Country | |
---|---|---|---|
61847710 | Jul 2013 | US |
Number | Date | Country | |
---|---|---|---|
Parent | PCT/US2014/047227 | Jul 2014 | US |
Child | 15001039 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 15001039 | Jan 2016 | US |
Child | 15336779 | US |