PATENT CLAIM ANALYSIS

Application Number: 15749643
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["463", "029000"]

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.

Claim (Index 5):
The fraud detection system according to  claim 1 , wherein acquisition of the actual total amount of the chips in the chip tray after the end of the game and the settlement through the image analyzing apparatus is performed any one of:\n 1) the time when redemption for the winning chips is ended; 2) the time when the cards used in the game are collected to be discarded into a discard area of the table; 3) the time when a predetermined button attached to the win/lose result determining apparatus is pushed; and 4) the time when a marker representing win or lose is returned to an initial state.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 88.0
- Lexical Diversity: 2.46939
- Patent Class: 463.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15226200', '12231759', '09305562', '14996106', '12716722']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3757368605635419
- 35 USC 102 Novelty (BERT): 0.6671193267832042
- Combined Prediction Score: 0.4048751071855082
- Mean Citation Score: 362.956662
- Max Citation Score: 685.9759
- Similarity Product: 677.2424438480257

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test