US 11,990,000 B2
Systems and methods for collusion detection
Martin S. Lyons, Henderson, NV (US); Ryan Yee, Las Vegas, NV (US); Michael Vizzo, Las Vegas, NV (US); Colin Helsen, Arundel (AU); and Robert McPeak, Mount Vernon, WA (US)
Assigned to LNW Gaming, Inc., Las Vegas, NV (US)
Filed by LNW Gaming, Inc., Las Vegas, NV (US)
Filed on May 24, 2022, as Appl. No. 17/752,192.
Claims priority of provisional application 63/192,658, filed on May 25, 2021.
Prior Publication US 2022/0383698 A1, Dec. 1, 2022
Int. Cl. G07F 17/32 (2006.01)
CPC G07F 17/3241 (2013.01) [G07F 17/3206 (2013.01); G07F 17/3239 (2013.01); G07F 17/3293 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
in response to automatic shuffling of a set of cards by a shuffler, detecting, by a processor via analysis of sensor data captured by one or more sensors inside of the shuffler, a first anomaly on a surface 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, wherein the first anomaly varies from an original manufactured appearance of the first card of high value;
in response to analysis by the processor of shuffler data from a shuffler network, detecting, by the processor, a relationship between the first anomaly and a second anomaly, wherein 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; and
in response to detecting the relationship between the first anomaly and the second anomaly, relating, by the processor in a memory store associated with a collusion-confidence score, a first identifier for the first player and a second identifier for the second player.