Abstract: According to one aspect of the present disclosure, a system comprises a processor configured to execute instructions that cause operations to detect, using sensors of one or more card-handling devices (“card-handling device(s)”) in a network, one or more anomalies (“anomaly (ies)”) on one or more cards (“card(s)”) used during play of one or more games (“game(s)”). The game(s) are played at one or more gaming tables (“table(s)”) associated with the card-handling device(s). The anomaly (ies) vary from one or more previously taken images of the card(s). The operations further include, in response to detecting the anomaly (ies), determining, via analysis by a machine learning model of image data captured by one or more image sensors at the table(s), identifiers for participants that played at the table(s) for the game(s) when the anomaly (ies) was/were detected. The operations further include relating, in a memory store associated with one or more collusion-confidence scores, the identifiers.

Abstract: A card security device including: a front end; a back end; a lid two lateral sides; an inner space defined by the front end, the back end, the two lateral sides, and the lid; and a card shoe connector at the front end configured to connect to a card shoe wherein the card shoe connector includes an outer portion, an inner portion, and a security seal on the inner portion.

Abstract: A gaming system comprises a player terminal, an automated dice unit (ADU), and game-logic circuitry. The ADU automatically shakes at least one die to generate a dice outcome. The game-logic circuitry receives player input from a player selecting one or more dice games, prompts the player to provide a dice control parameter affecting an aspect of a dice roll, converts the dice control parameter into a control data element compatible with the ADU, transmits ADU control data including the control data element to the ADU, causes the ADU to extract the control data element and generate a dice outcome by generating a dynamic force applied to the die based at least partially on the control data element, generates a game outcome for each of the selected dice games based on the dice outcome, and causes an electronic display device of the player terminal to present the game outcomes.

Abstract: According to one aspect of the present disclosure, a system comprises a processor configured to execute instructions that cause operations to detect, using sensors of one or more card-handling devices (“card-handling device(s)”) in a network, one or more anomalies (“anomaly (ies)”) on one or more cards (“card(s)”) used during play of one or more games (“game(s)”). The game(s) are played at one or more gaming tables (“table(s)”) associated with the card-handling device(s). The anomaly (ies) vary from one or more previously taken images of the card(s). The operations further include, in response to detecting the anomaly (ies), determining, via analysis by a machine learning model of image data captured by one or more image sensors at the table(s), identifiers for participants that played at the table(s) for the game(s) when the anomaly (ies) was/were detected. The operations further include relating, in a memory store associated with one or more collusion-confidence scores, the identifiers.

Abstract: In one example, a system configured to detect a payout proximity trigger for a progressive jackpot game. The system analyzes, in response to the trigger, shuffle-state image data of a shuffler device and determines a card order of an undealt portion for a deck of cards shuffled by the shuffler device. The system further determines, based on the card order and based on card distribution rules, an anticipated timing for when a mystery card will be dealt from the shuffler device for a subsequent game play round during which the payout threshold value is reached. The system further determines a physical location of a closest gaming table relative to the shuffler device. The system further electronically provides, using the anticipated timing (e.g., transmits to an output device at the physical location), an anticipatory notification related to an upcoming appearance of the mystery card.

Abstract: A method or system to, in response to automatic shuffling of a set of cards by a shuffler, detect a first anomaly of a first card of high value that was used during a round of play for a first card game in which a first player participated at a gaming table. The method or system is further to, in response to analysis of shuffler data, detect a relationship between the first anomaly and a second anomaly. The second anomaly is associated with a second card of high value that was used during a round of play for a second card game in which a second player participated. The system or method is further to, in response to detection of the relationship between the first anomaly and the second anomaly, relate via a collusion-confidence score a first identifier for the first player with a second identifier for the second player.

Abstract: According to one aspect of the present disclosure, a system is provided for controlling a network game. In some instances, a processor of the system selects a winning card value of an undealt playing card for the network game. The network game spans a plurality of gaming tables having a deck of cards used for individual card games separate from the network game. A shuffler at each table shuffles the deck of cards for the individual card games. The system further detects, in response to analyzing image data at each of the gaming tables by a machine learning model, that a playing card, having the winning card value, is dealt. The system further determines, by a machine learning model, a participant to whom the playing card was dealt. The system further electronically validates a win for the network game with an electronic account for the participant.

Abstract: A gaming system comprises a gaming controller for conducting a first and second dice game, a display device to present the dice games, a plurality of dice, and one or more automated dice units (ADUs) to house and shake the dice to generate a dice outcome. The gaming controllers are configured to detect, via at least one sensor in response to generating the dice outcome, outcome indicia for each die, identify a first set of dice and a second set of dice at least partially different from the first set, translate the detected outcome indicia of the first set into outcome values for a first game outcome of the first dice game and the detected outcome indicia of the second set into outcome values for a second game outcome of the second dice game, and cause the display device to present the game outcomes.

Abstract: A gaming system comprises a player terminal, an automated dice unit (ADU), and game-logic circuitry. The ADU automatically shakes at least one die to generate a dice outcome. The game-logic circuitry receives player input from a player selecting one or more dice games, prompts the player to provide a dice control parameter affecting an aspect of a dice roll, converts the dice control parameter into a control data element compatible with the ADU, transmits ADU control data including the control data element to the ADU, causes the ADU to extract the control data element and generate a dice outcome by generating a dynamic force applied to the die based at least partially on the control data element, generates a game outcome for each of the selected dice games based on the dice outcome, and causes an electronic display device of the player terminal to present the game outcomes.

Abstract: A gaming system comprises a gaming controller for conducting a first and second dice game, a display device to present the dice games, a plurality of dice, and one or more automated dice units (ADUs) to house and shake the dice to generate a dice outcome. The gaming controllers are configured to detect, via at least one sensor in response to generating the dice outcome, outcome indicia for each die, identify a first set of dice and a second set of dice at least partially different from the first set, translate the detected outcome indicia of the first set into outcome values for a first game outcome of the first dice game and the detected outcome indicia of the second set into outcome values for a second game outcome of the second dice game, and cause the display device to present the game outcomes.

Abstract: According to one aspect of the present disclosure, a system comprises a processor configured to execute instructions that cause operations to, in response to automatic shuffling of a set of cards by a shuffler, detect a first anomaly associated with a first card of high value that was used during a round of play for a first card game in which a first player participated at a gaming table. The processor is further configured to execute instructions that cause operations to, in response to analysis by the processor of shuffler data, detect a relationship between the first anomaly and a second anomaly. The second anomaly is associated with a second card of high value that was used during a round of play for a second card game in which a second player participated.

Abstract: According to one aspect of the present disclosure, a system is provided for controlling a network game. In some instances, a processor of the system selects a winning card value of an undealt playing card for the network game. The network game spans a plurality of gaming tables having a deck of cards used for individual card games separate from the network game. A shuffler at each table shuffles the deck of cards for the individual card games. The system further detects, in response to analyzing image data at each of the gaming tables by a machine learning model, that a playing card, having the winning card value, is dealt. The system further determines, by a machine learning model, a participant to whom the playing card was dealt. The system further electronically validates a win for the network game with an electronic account for the participant.

Abstract: A system and method for hosting and managing a live game are disclosed which includes a live gaming table for live players and a live dealer. In an embodiment an application configures a player's mobile device to receive an invitation from a casino to play the table game based upon the player being, based upon location aware technology, being in or near the casino. Accepting the invention permits the player to reserve a position at the gaming table and displays a machine readable code at the player's mobile device. The player positions at the gaming table include video display and player input devices (VDPIDs) and a code reader to read the displayed code and access the player's electronic account. Using the VDPID the player may convert between electronic funds and physical gaming chips, participate in video bonus event play and back-bet on other players.

Abstract: A system and method for hosting and managing a live game are disclosed which includes a live gaming table for live players and a live dealer. In an embodiment an application configures a player's mobile device to receive an invitation from a casino to play the table game based upon the player being, based upon location aware technology, being in or near the casino. Accepting the invention permits the player to reserve a position at the gaming table and displays a machine readable code at the player's mobile device. The player positions at the gaming table include video display and player input devices (VDPIDs) and a code reader to read the displayed code and access the player's electronic account. Using the VDPID the player may convert between electronic funds and physical gaming chips, participate in video bonus event play and back-bet on other players.