System for counting quantity of game tokens

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.

What is claimed: 
     
         1 . A learning system comprising:
 one or more cameras configured to capture a plurality of betting areas arranged in a two-dimensional orientation on a gaming table from diagonally above and generate an image including a plurality of gaming chips wagered in a betting area of the plurality of betting areas;   a learning model configured to recognize a position, a type, or a number of gaming chips wagered on a relatively near place or on a relatively far place on the gaming table by a player by analyzing one image using trained artificial intelligence or deep learning;   a device configured to acquire teacher data for generating or learning the learning model by capturing the images; and   a learning device configured to train the learning model using the teacher data, wherein the teacher data includes a plurality of images in which illumination conditions and chip hiding states are different from each other.   
     
     
         2 . The learning system according to  claim 1 , wherein the teacher data includes a training image showing a single unstacked gaming chip. 
     
     
         3 . The learning system according to  claim 1 , wherein the teacher data includes a training image showing a second plurality of gaming chips stacked on top of each other. 
     
     
         4 . The learning system according to  claim 1 , wherein the teacher data includes a training image showing a gaming chip that is partially hidden due to a blind spot of the one or more cameras. 
     
     
         5 . The learning system according to  claim 1 , wherein the learning model is configured to recognize the position, the type, and the number of the gaming chips wagered on both the relatively near place and the relatively far place. 
     
     
         6 . A learning system comprising:
 one or more cameras configured to capture a plurality of betting areas arranged in a two-dimensional orientation on a gaming table from diagonally above and generate an image including a plurality of gaming chips wagered in a betting area of the plurality of betting areas;   a learning model configured to recognize a position, a type, or a number of gaming chips wagered on a relatively near place or on a relatively far place on the gaming table by a player by analyzing one image using trained artificial intelligence or deep learning;   a device configured to acquire teacher data for generating or learning the learning model by capturing the images; and   a learning device configured to train the learning model using the teacher data, wherein the teacher data includes an image showing a stack of a plurality of gaming chips having a specific color that differs from each other on a side.   
     
     
         7 . The learning system according to  claim 6 , wherein the teacher data includes a training image showing a single unstacked gaming chip. 
     
     
         8 . The learning system according to  claim 6 , wherein the teacher data includes a training image showing a second plurality of gaming chips stacked on top of each other. 
     
     
         9 . The learning system according to  claim 6 , wherein the teacher data includes a training image showing a gaming chip that is partially hidden due to a blind spot of the one or more cameras. 
     
     
         10 . The learning system according to  claim 6 , wherein the learning model is configured to recognize the position, the type, and the number of the gaming chips wagered on both the relatively near place and the relatively far place. 
     
     
         11 . A learning system comprising:
 one or more cameras configured to capture a plurality of betting areas arranged in a two-dimensional orientation on a gaming table from diagonally above and generate an image including a plurality of gaming chips wagered in a betting area of the plurality of betting areas;   a learning model configured to recognize a position, a type, or a number of gaming chips wagered on a relatively near place or on a relatively far place on the gaming table by a player by analyzing one image using trained artificial intelligence or deep learning;   a device configured to acquire teacher data for generating or learning the learning model by capturing the images; and   a learning device configured to train the learning model using the teacher data, wherein the teacher data includes an image of a plurality of gaming chips stacked out of alignment with each other.   
     
     
         12 . The learning system according to  claim 11 , wherein the teacher data includes a training image showing a single unstacked gaming chip. 
     
     
         13 . The learning system according to  claim 11 , wherein the teacher data includes a training image showing a second plurality of gaming chips stacked on top of each other. 
     
     
         14 . The learning system according to  claim 11 , wherein the teacher data includes a training image showing a gaming chip that is partially hidden due to a blind spot of the one or more cameras. 
     
     
         15 . The learning system according to  claim 11 , wherein the learning model is configured to recognize the position, the type, and the number of the gaming chips wagered on both the relatively near place and the relatively far place.