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 20):
The system for detecting fraud according to  claim 18 , wherein the intelligence type control device has an artificial intelligence utilizing type structure or a deep learning structure capable of performing comparison calculation as to whether or not the recognized amount of chips in a chip tray of a dealer of the gaming tables is increased or decreased according to collection of lost chips wagered by each player and redemption for winning chips, in accordance with the win or lose result of the game, after end of the game and settlement.

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): 0.3844468986515476
- 35 USC 102 Novelty (BERT): 0.6442491248294281
- Combined Prediction Score: 0.4104271212693356
- Mean Citation Score: 362.956662
- Max Citation Score: 685.9759
- Similarity Product: 606.0220775499939

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