Patent ID: 11861975
Assignee: LNW GAMING, INC.
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A method of operating a wagering game system comprising a gaming table and a camera, said method comprising:
detecting, by an electronic processor in response to electronic communication with the wagering game system, a game state from a plurality of game states associated with a wagering game presented at the gaming table;
dynamically generating, by the electronic processor based, at least in part on the detected game state, a set of digital images from portions of a frame of image data captured by the camera at the gaming table;
in response to determining, by the electronic processor via electronic analysis of the set of digital images, that the set of images fails a maximum resolution target input requirement for a neural network model that corresponds to the game state, iteratively modifying, by the electronic processor, an image resolution property of a subset of images from the set of images until the iteratively modifying causes the set of digital images to collectively meet the maximum resolution target input requirement, wherein the iteratively modifying comprises, in an iterative manner, until the set of digital images meets the maximum resolution target input requirement, selecting, as the subset of images, one or more images from the set of digital images that possess an image resolution width that is largest in size amongst all the members of the set of digital images, scaling the image resolution width of each of the one or more images by one pixel and scaling an image resolution height of each of the one or more images by one pixel divided by an aspect ratio at which the frame of image data was captured, and wherein in response to each iteration of the scaling the image resolution width and image resolution height of the one or more images, determining, by the electronic processor via a rectangle packing algorithm, whether the set of images collectively fit into a rectangle that represents a maximum resolution limit for the neural network model; and
in response to determining that said iteratively modifying causes the set of digital images to meet the maximum resolution target input requirement, providing, by the electronic processor, the set of digital images to the neural network model.