US2022375184A1PendingUtilityA1

System for counting quantity of game tokens

Assignee: ANGEL GROUP CO LTDPriority: Feb 21, 2017Filed: Jul 14, 2022Published: Nov 24, 2022
Est. expiryFeb 21, 2037(~10.6 yrs left)· nominal 20-yr term from priority
Inventors:Yasushi Shigeta
G07F 17/322G06F 18/214G06T 7/73G06T 2207/10024G06M 11/00G06T 2207/30242G06T 2207/20081G07F 17/3241G06T 7/90G06N 20/00G07F 17/3248G06Q 50/34G06V 10/56G06V 10/225G06K 9/6256G06V 10/141H04N 5/77G06N 3/045G06V 20/64G06V 10/7784G06T 7/0002G06V 10/22G06V 10/245G07D 7/2016
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Claims

Abstract

A chip recognition system in which a chip is configured to at least partially have a specific color indicative of a value of the chip includes: a recording device that uses a camera and records a state of the chip as an image; an image analysis device that subjects the image so recorded to image analysis and recognizes at least the specific color and a reference color that is present in the image and differs from the specific color; and a recognition device at least including an artificial intelligence device that uses a result of the image analysis by the image analysis device and specifies the specific color of the chip, wherein the artificial intelligence device of the recognition device has been subjected to teaching using, as training data, a plurality of images of the chip and the reference color irradiated with different illumination intensities.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A chip recognition system for recognizing chips to be used at a game table in an amusement facility, the chip recognition system comprising:
 a recording device configured to record a state of a chip as an image captured by a camera, the chip is configured to include at least a specific color indicating a value of the chip; and   a recognition device including at least an artificial intelligence device configured to identify, based on image analysis of the recorded image, the specific color of the chip that is represented in the image in a different color, based on a lighting environment, than the specific color of the chip identify a specific color of the chip.   
     
     
         2 . The chip recognition system according to  claim 1 , wherein the chip has at least the specific color indicating the value of the chip at a predetermined location or in a predetermined shape. 
     
     
         3 . The chip recognition system according to  claim 1 , wherein the recognition device is further configured to identify a number of chips based on identification of the specific color of the chip. 
     
     
         4 . The chip recognition system according to  claim 1 , wherein the recognition device further is configured to identify a number of chips for each specific color of a plurality of specific colors by identifying, for each chip of a plurality of the chips, the specific color. 
     
     
         5 . The chip recognition system according to  claim 1 , wherein the artificial intelligence device of the recognition device is an artificial intelligence device taught with a plurality of images of a predetermined reference color different from the specific color and chips irradiated in different lighting environments as teacher data. 
     
     
         6 . The chip recognition system according to  claim 5 , wherein the reference color is a color that chips of different types have in common. 
     
     
         7 . The chip recognition system according to  claim 1 , wherein the artificial intelligence device of the recognition device is an artificial intelligence device configured to determine the specific color of the chip using a relative relationship with a predetermined reference color different from the specific color. 
     
     
         8 . The chip recognition system according to  claim 1 , wherein the recognition device is configured to:
 determine the specific color of a plurality of chips stacked on top of each other, and   determine the specific color or number of chips when the chips are partially hidden due to a blind spot of the camera.   
     
     
         9 . A recognition system for recognizing an article, comprising:
 a recording device configured to record a state of an article as an image using a camera, the article has a structure in which the article itself or the packaging has at least a specific color that can identify the article or the packaging; and   a recognition device including at least an artificial intelligence device configured to identify a specific color of the article itself or packaging by image analysis of the recorded image,   wherein the artificial intelligence device of the recognition device is an artificial intelligence device taught with a plurality of images including the specific color of the article itself or packaging that is represented in the image in a different color than the specific color of the chip based on a lighting environment as teacher data.   
     
     
         10 . The recognition system according to  claim 9 , wherein the article itself or the packaging has at least the specific color in a predetermined position or in a predetermined shape to enable identification of the article or the packaging. 
     
     
         11 . The recognition system according to  claim 9 , wherein the recognition device is configured to identify a number of articles based on identification of the specific color of the article itself or packaging. 
     
     
         12 . The recognition system according to  claim 11 , wherein the recognition device is configured to identify a number of pieces of each of the articles based on identification of the specific color of a plurality of articles themselves or packaging for each article. 
     
     
         13 . The recognition system according to  claim 9 , wherein the artificial intelligence device of the recognition device is an artificial intelligence device taught with a plurality of images of a predetermined reference color different from the specific color and the specific color of the article itself or packaging illuminated in different lighting environments as teacher data. 
     
     
         14 . The recognition system according to  claim 9 , wherein the artificial intelligence device of the recognition device is an artificial intelligence device configured to determine the specific color of the article itself or the packaging using a relative relationship with a predetermined reference color that is different from the specific color. 
     
     
         15 . The recognition system according to  claim 9 , wherein the recognition device configured to:
 determine the specific color of a plurality of stacked articles themselves or packaging, and   determine the specific color if a part of the article is hidden due to a blind spot of the camera.   
     
     
         16 . The recognition system according to  claim 9 , wherein the recognition device is configured to:
 determine the specific color of a plurality of stacked articles themselves or their packaging, and   determine the total number of articles or the number of articles of each specific color, when the articles are partially hidden due to a blind spot of the camera.

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