Card-centered abnormality detection system using camera and shoe
Conventional systems have a problem that, after drawing cards onto a table in a baccarat game, if a dealer makes a mistake in dealing cards to the Player side and the Banker side or in passing cards to game participants after dealing, the mistake cannot be detected. An abnormality detection system according to the present invention can detect an abnormality or cheating and issue a warning or stop the abnormality or cheating based on an image analysis result from an image analyzing device when, after drawing cards onto a table in a baccarat game, a dealer makes a mistake in dealing cards to the Player side and the Banker side or in passing cards to customers after dealing, for example.
1. A system comprising:
a camera configured to capture a plurality of images of a game table where a game is played using cards;
a card recognition device configured to:
use artificial intelligence or deep learning to recognize the cards based on the plurality of images captured by the camera; and
recognize ranks and positions of the recognized cards;
a controller configured to identify a card hand of a player of the table game using a recognition result of the card recognition device; and
a chip recognition device configured to recognize a chip bet in a bet area on the game table by using the artificial intelligence or the deep learning to recognize the chips based on the plurality of images generated by the camera,
wherein the controller is further configured to identify a bet amount in the bet area based on a recognition result of the chip recognizing device.
2. The system according to claim 1 , wherein the recognition result indicates, for at least one card of the recognized cards, a rank of the at least one card, a position of the at least one card, or a combination thereof.
3. The system according to claim 1 , wherein:
a player area where the card hand of the player is to be placed is arranged on the game table; and
the controller is further configured to identify cards located in the player area as the card hand of the player.
4. The system according to claim 1 , wherein the controller is further configured to determine whether cards to be the card hand of the player have been correctly dealt into a player area or not.
5. The system according to claim 1 , further comprising:
a card dealing device that reads ranks of cards dealt into the game table; and
wherein the controller is further configured to determine whether or not ranks read from cards to be the card hand of the player by the card dealing device correspond to ranks of cards identified as the card hand of the player using the recognition result of the card recognition device.
6. The system according to claim 1 , wherein the controller is further configured to identify a card hand of a dealer using the recognition result of the card recognition device.
7. The system according to claim 6 , wherein:
a dealer area where the card hand of the dealer is to be placed is arranged on the game table; and
the controller is further configured to identify cards located in the dealer area as the card hand of the dealer.
8. The system according to claim 6 , wherein the controller is further configured to determine a game result according to game rules based on the identified card hand of the player and the identified card hand of the dealer.
9. The system according to claim 1 , wherein by using the artificial intelligence or the deep learning, the card recognizing device is configured to recognize a rank of a card that is folded or dirty.
10. The system according to claim 1 , wherein:
each time one of the cards is dealt, the camera is configured to capture an image of the card;
the card recognition device is configured to recognize each of the positions of the cards dealt in order; and
the controller is further configured to determine whether a combination of the order of dealing of the cards and the positions is correct or not using the recognition result of the card recognizing device.
11. The system according to claim 1 , further comprising:
a chip recognition device configured to:
use artificial intelligence or deep learning to recognize chips from the plurality of images captured by the camera; and
recognize a chip bet in a bet area on the game table based on the recognized chips; and
wherein the controller is further configured to identify a bet amount in the bet area based on a recognition result of the chip recognizing device.
12. A system comprising:
a camera configured to capture a plurality of images of a game table where a game is played using cards;
a card recognition device configured to:
use artificial intelligence or deep learning to recognize the cards based on the plurality of images captured by the camera; and
recognize ranks and positions of the recognized cards;
a controller configured to identify a card hand of a player of the table game using a recognition result of the card recognition device;
a chip recognition device configured to:
use artificial intelligence or deep learning to recognize chips from the plurality of images captured by the camera; and
recognize a chip bet in a bet area on the game table based on the recognized chips,
wherein the controller is further configured to identify a bet amount in the bet area based on a recognition result of the chip recognizing device.
13. The system according to claim 12 , wherein the recognition result indicates, for at least one card of the recognized cards, a rank of the at least one card, a position of the at least one card, or a combination thereof.
14. The system according to claim 12 , wherein:
a player area where the card hand of the player is to be placed is arranged on the game table; and
the controller is further configured to identify cards located in the player area as the card hand of the player.
15. The system according to claim 12 , wherein the controller is further configured to determine whether cards to be the card hand of the player have been correctly dealt into a player area or not.
16. The system according to claim 12 , further comprising:
a card dealing device that reads ranks of cards dealt into the game table; and
wherein the controller is further configured to determine whether or not ranks read from cards to be the card hand of the player by the card dealing device correspond to ranks of cards identified as the card hand of the player using the recognition result of the card recognition device.
17. The system according to claim 12 , wherein the controller is further configured to identify a card hand of a dealer using the recognition result of the card recognition device.
18. The system according to claim 17 , wherein:
a dealer area where the card hand of the dealer is to be placed is arranged on the game table; and
the controller is further configured to identify cards located in the dealer area as the card hand of the dealer.
19. The system according to claim 17 , wherein the controller is further configured to determine a game result according to game rules based on the identified card hand of the player and the identified card hand of the dealer.
20. The system according to claim 12 , wherein by using the artificial intelligence or the deep learning, the card recognizing device is configured to recognize a rank of a card that is folded or dirty.