US2023162505A1PendingUtilityA1

System and method for automated table game activity recognition

Assignee: SENSEN NETWORKS GROUP PTY LTDPriority: May 16, 2016Filed: Jan 11, 2023Published: May 25, 2023
Est. expiryMay 16, 2036(~9.8 yrs left)· nominal 20-yr term from priority
G07F 17/3293G07F 17/3225A63F 1/18G06V 20/52A63F 1/067G07F 17/322A63F 13/213A63F 1/04
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Claims

Abstract

Some embodiments relate to a system for automated gaming recognition, the system comprising: at least one image sensor configured to capture image frames of a field of view including a table game; at least one depth sensor configured to capture depth of field images of the field of view; and a computing device configured to receive the image frames and the depth of field images, and configured to process the received image frames and depth of field images in order to produce an automated recognition of at least one gaming state appearing in the field of view. Embodiments also relate to methods and computer-readable media for automated gaming recognition. Further embodiments relate to methods and systems for monitoring game play and/or gaming events on a gaming table.

Claims

exact text as granted — not AI-modified
1 . A system for automated gaming recognition, the system comprising:
 at least one image sensor configured to capture image frames of a field of view including a table game;   at least one depth sensor configured to capture depth of field images of the field of view; and   a computing device configured to receive the image frames and the depth of field images, and configured to process the received image frames and depth of field images in order to produce an automated recognition of at least one gaming state appearing in the field of view.   
     
     
         2 . The system of  claim 1 , wherein the image frame comprise images within or constituting the visible spectrum or infrared or ultraviolet images. 
     
     
         3 . The system of  claim 1 , wherein the depth of field images comprise time of flight data points for the field of view and phase information data points reflecting depth of field. 
     
     
         4 . The system of  claim 1 , wherein the at least one gaming state appearing in the field of view comprises one or more or all of: game start; chip detection; chip value estimation, chip stack height estimation; and game end. 
     
     
         5 . A method of automated gaming recognition, the method comprising:
 obtaining image frames of a field of view including a table game;   obtaining depth of field images of the field of view; and   processing the received image frames and depth of field images in order to produce an automated recognition of at least one gaming state appearing in the field of view.   
     
     
         6 . The method of  claim 5 , wherein the image frame comprise images within or constituting the visible spectrum or infrared or ultraviolet images. 
     
     
         7 . The method of  claim 5 , wherein the depth of field images comprise time of flight data points for the field of view and phase information data points reflecting depth of field. 
     
     
         8 . The method of  claim 5 , wherein the at least one gaming state appearing in the field of view comprises one or more or all of: game start; chip detection; chip value estimation, chip stack height estimation; and game end. 
     
     
         9 . A non-transitory computer readable medium, comprising instructions for automated gaming recognition which, when executed by one or more processors, causes performance of the following:
 obtaining image frames of a field of view including a table game;   obtaining depth of field images of the field of view; and   processing the received image frames and depth of field images in order to produce an automated recognition of at least one gaming state appearing in the field of view.   
     
     
         10 . The non-transitory computer readable medium according to  claim 9  wherein the image frame comprise images within or constituting the visible spectrum or infrared or ultraviolet images. 
     
     
         11 . The non-transitory computer readable medium according to  claim 9  wherein the depth of field images comprise time of flight data points for the field of view and phase information data points reflecting depth of field. 
     
     
         12 . The non-transitory computer readable medium according to  claim 9  wherein the at least one gaming state appearing in the field of view comprises one or more or all of: game start; chip detection; chip value estimation, chip stack height estimation; and game end. 
     
     
         13 - 35 . (canceled)

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