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US 11,694,336 B2Granted
System and method for machine learning-driven object detection
AssigneeSenSen Networks Group PTY Ltd
InventorsNhat Vo, Subhash Challa, Louis Quinn
Life of this patent
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Abstract
Embodiments relate to systems and methods for gaming monitoring. In particular, embodiments relate to systems and methods for gaming monitoring based on machine learning processes configured to analyse captured images to identify or detect game objects and game events to monitor games.
Claims19
A system for game object identification, comprising:
- a non-transitory computer-readable memory storing computer-readable instructions;
- and
- at least one processor configured to execute the computer-readable instructions to cause the system to execute,
- a wager object region proposal network (RPN) to receive image data from captured images of a gaming table, and
- a wager object detection network to receive an output of the wager object RPN,
- wherein the wager object detection network is configured to detect at least one wager object in the captured images based on the output of the wager object RPN.
3 more elements
A computing apparatus comprising:
- at least one camera configured to capture images of a gaming surface;
- a non-transitory computer-readable memory storing computer-readable instructions;
- and
- at least one processor configured to execute the computer-readable instructions to cause the computing apparatus to,
- apply machine learning processes to,
- identify a region of interest in at least one of the captured images, the region of interest including at least one wager object,
- detect an end of an edge pattern of the at least one wager object, and
- determine a value of the at least one wager object based on the detected end.
5 more elements
A computing apparatus comprising:
- at least one camera configured to capture images of a gaming surface;
- a non-transitory computer-readable memory storing computer-readable instructions;
- and
- at least one processor configured to execute the computer-readable instructions to cause the computing apparatus to,
- use a region proposal network (RPN) to identify a region of interest in at least one of the captured images,
- use a wager object detection network to receive an output of the RPN and detect at least one wager object in the captured images based on the output of the RPN, and
- determine a wager amount based on the identified region of interest and the detected at least one wager object.
4 more elements
A computing apparatus comprising:
- at least one camera configured to capture images of a gaming surface of a table;
- a non-transitory computer-readable memory storing computer-readable instructions, the memory being at the table;
- and
- at least one processor, at the table, configured to execute the computer-readable instructions to cause the computing apparatus to,
- apply machine learning processes to analyze the captured images of the gaming surface to identify at least one of a gaming object, a game event and a player in the captured images, identify a region of interest in at least one of the captured images, the region of interest including at least one wager object, detect an edge pattern of the at least one wager object, and determine a value of the at least one wager object based on the detected edge pattern.
2 more elements
Dependencies are inferred from the claim text.