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US 2022/0101687 A1Published application
Fraud detection system in a casino
AssigneeAngel Group Co., Ltd.
InventorYasushi SHIGETA
Life of this patent
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Abstract
A fraud detection system which detects fraud in a game of performing collection and redemption of chips in accordance with a win or lose result includes a camera which captures an image of chips contained in a chip tray of a dealer, an image analyzing apparatus which analyses the image captured by the camera to detect an amount of the chips contained in the chip tray, a card distribution device which determines a win or lose result of a game, and a control device which compares the win or lose result of the game and the amount of the chips contained in the chip tray before and after collection and redemption of the chips to detect fraud.
Claims14
A system comprising:
- a camera;
- and
- a control device, wherein:
- the camera is configured to generate an image of a predetermined area of a gaming table that includes a chip placement area;
- the control device is configured to:
- use a deep learning convolutional neural network to perform image recognition, that includes extracting features in the image based on color information or a pattern, to identify as processing targets representations in the image of chips stacked in the chip placement area and captured by the camera from a horizontal direction or obliquely from above the chips;
- and
- identify, even when the chips stacked in the chip placement area include one or more chips that are at least partially concealed from view by using image recognition processing of the deep learning convolutional neural network based on the color information or pattern in the image, one or more types and one or more numbers of the chips including the one or more chips that are at least partially concealed from view, the identification of at least one of (a) the one or more types, and (b) the one or more numbers being of the identified processing targets in the image;
- and
- the convolutional neural network used by the control device is a neural network that performed learning on learning images with labels at targets corresponding to the types of chips represented in the learning images.
7 more elements
A system comprising:
- a camera;
- a dealer chip tray;
- a radio frequency identification (RFID) reader;
- and
- a control device, wherein:
- the camera is configured to generate an image of a predetermined area of a gaming table that includes a chip placement area;
- the control device is configured to:
- use a deep learning convolutional neural network to perform image recognition, that includes extracting features in the image based on color information or a pattern, to identify as processing targets representations in the image of chips stacked in the chip placement area and captured by the camera from a horizontal direction or obliquely from above the chips;
- and
- identify, based on the image, one or more types and one or more numbers of the chips, the identification of at least one of (a) the one or more types and (b) the one or more numbers being of the identified processing targets in the image and being based on the color information or the pattern;
- the convolutional neural network used by the control device is a neural network that performed learning on learning images with labels at targets corresponding to the types of chips represented in the learning images;
- the dealer chip tray is configured to hold the chips at the gaming table;
- and
- the control device is further configured to:
- identify a total amount of the chips in the chip tray, including even one or more of the chips in the chip tray that are at least partially concealed from view, based on signals from the RFID reader generated based on a reading of respective IDs embedded in respective interiors of the chips in the chip tray;
- determine a correct total amount of the chips in the chip tray by modifying, by subtraction or addition, a prior chip amount in the chip tray by a change amount that is based on (a) the types and numbers of chips placed in the placement area;
- and
- determine whether there is a difference between the determined correct total amount and the total amount identified based on the embedded IDs.
15 more elements
Dependencies are inferred from the claim text.