System and method for automated table game activity recognition
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 gaining 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.
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 having a plurality of regions of interest;
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 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,
wherein the computing device is further configured to recognize the at least one gaming state by identifying a presence of a particular object and its position in the field of view, wherein the at least one gaming state includes at least a game start or a game end,
wherein the computing device is further configured to use the depth of field images to identify a region of interest of the plurality of regions of interest where one or more gaming chips are placed.
2. The system of claim 1 , wherein the image frames 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 further comprises one or more or all of: a chip detection; a chip value estimation; or a chip stack height estimation.
5. A method of automated gaming recognition, the method comprising:
obtaining image frames of a field of view including a table game having a plurality of regions of interest;
obtaining depth of field images of the field of view;
processing the 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; and
recognizing the at least one gaming state by identifying a presence of a particular object and its position in the field of view, wherein the at least one gaming state includes at least a game start or a game end,
wherein the processing uses the depth of field images to identify a region of interest of the plurality of regions of interest where one or more gaming chips are placed.
6. The method of claim 5 , wherein the image frames 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 further comprises one or more or all of a chip detection; a chip value estimation; or a chip stack height estimation.
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 having a plurality of regions of interest;
obtaining depth of field images of the field of view;
processing the 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; and
recognizing the at least one gaming state by identifying a presence of a particular object and its position in the field of view, wherein the at least one gaming state includes at least a game start or a game end,
wherein the processing uses the depth of field images to identify a region of interest of the plurality of regions of interest where one or more gaming chips are placed.
10. The non-transitory computer readable medium according to claim 9 wherein the image frames 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 further comprises one or more or all of: a chip detection; a chip value estimation; or a chip stack height estimation.