20240046739. SYSTEM AND METHOD FOR SYNTHETIC IMAGE TRAINING OF A MACHINE LEARNING MODEL ASSOCIATED WITH A CASINO TABLE GAME MONITORING SYSTEM simplified abstract (LNW Gaming, Inc.)
SYSTEM AND METHOD FOR SYNTHETIC IMAGE TRAINING OF A MACHINE LEARNING MODEL ASSOCIATED WITH A CASINO TABLE GAME MONITORING SYSTEM
Organization Name
Inventor(s)
Bryan M. Kelly of Rancho Santa Margarita CA (US)
Terrin Eager of Campbell CA (US)
Martin S. Lyons of Henderson NV (US)
SYSTEM AND METHOD FOR SYNTHETIC IMAGE TRAINING OF A MACHINE LEARNING MODEL ASSOCIATED WITH A CASINO TABLE GAME MONITORING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240046739 titled 'SYSTEM AND METHOD FOR SYNTHETIC IMAGE TRAINING OF A MACHINE LEARNING MODEL ASSOCIATED WITH A CASINO TABLE GAME MONITORING SYSTEM
Simplified Explanation
The patent application describes a system and method for training a neural network that is used in a casino table game monitoring system. The system uses synthetic images of objects extracted from a virtual table game environment to train a machine learning model. This trained model is then deployed to a casino table game monitoring system to monitor physical objects in a physical gaming table environment.
- The system trains a neural network using synthetic images of objects from a virtual table game environment.
- The trained neural network is deployed to a casino table game monitoring system.
- The neural network monitors physical objects in a physical gaming table environment.
- The system uses machine learning to analyze and monitor the objects in real-time.
Potential applications of this technology:
- Enhancing casino security and surveillance systems.
- Improving the monitoring and tracking of physical objects in a casino table game environment.
- Assisting in identifying and preventing fraudulent activities in casino table games.
Problems solved by this technology:
- Traditional casino surveillance systems may have limitations in monitoring and tracking physical objects in real-time.
- Manual monitoring and surveillance of casino table games can be time-consuming and prone to human error.
- Identifying fraudulent activities in casino table games can be challenging without automated monitoring systems.
Benefits of this technology:
- Increased efficiency and accuracy in monitoring and tracking physical objects in a casino table game environment.
- Real-time detection and prevention of fraudulent activities in casino table games.
- Improved security and surveillance in casinos, ensuring a fair and safe gaming environment.
Original Abstract Submitted
disclosed are a system and method for training a neural network associated with a casino table game monitoring system. synthetic images of objects extracted from a virtual table game environment are used to train a machine learning model, which is deployed to a casino table game monitoring system to monitor one or more physical objects relative to a physical gaming table in a physical table game environment.
