US-20260127697-A1 - MANAGEMENT OF CASINO FLOW BASED ON BLOCKCHAIN

US20260127697A1US 20260127697 A1US20260127697 A1US 20260127697A1US-20260127697-A1

Abstract

An example system may include a processor and memory, wherein the processor is configured to perform one or more of acquire chip count data from the chip counting tray; associate each counted chip with a blockchain digital asset comprising a casino token; record the digital asset on a blockchain ledger along with a current location indicator reflecting a casino table and the chip counting tray where the counted chip is located; detect a movement of the counted chip in and out of the tray and update the location indicator on the blockchain ledger; continue to monitor the chip count data from the chip counting tray and record the chip count data on the blockchain; and provide current chip count data to a mobile blockchain node associated with a managing entity.

Inventors

Yakov Hananashvili

Assignees

THE SMART CHIP TRAY INC

Dates

Publication Date: 20260507
Application Date: 20241107

Claims (20)

1 . A system for an automated casino flow processing based on chip movement-related data, comprising: a processor of a casino flow management server node connected over a blockchain network to at least one chip counting tray; and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: acquire chip count data from the chip counting tray; associate each counted chip with a blockchain digital asset comprising a casino token; record the digital asset on a blockchain ledger along with a current location indicator reflecting a casino table and the chip counting tray where the counted chip is located; detect a movement of the counted chip in and out of the tray and update the location indicator on the blockchain ledger; continue to monitor the chip count data from the chip counting tray and record the chip count data on the blockchain; and provide current chip count data to a mobile blockchain node associated with a managing entity.
2 . The system of claim 1 , wherein the chip counting tray comprises a plurality of light sources and at least one panel of photo-transistor pairs configured to detect the emission from the light sources.
3 . The system of claim 1 , wherein the machine-readable instructions when executed by the processor, cause the processor to mint an NFT for each of the counted chips and record the NFT on a blockchain digital wallet associated with the chip counting tray.
4 . The system of claim 1 , wherein the machine-readable instructions when executed by the processor, cause the processor to transfer the casino token to a digital wallet of a player who won the chip associated with the casino token.
5 . The system of claim 1 , wherein the machine-readable instructions when executed by the processor, cause the processor to continually monitor the chip count data recorded on the blockchain to compare the chip count data against a threshold set for a chip counting tray located on the casino table.
6 . The system of claim 1 , wherein the machine-readable instructions when executed by the processor, cause the processor to, responsive to the chip count data recorded on the blockchain exceeding or falling below a threshold, dispatch an alert notification to the mobile blockchain node associated with the managing entity indicating that chips need to be added to or moved out of the chip counting tray.
7 . The system of claim 1 , wherein the machine-readable instructions when executed by the processor, cause the processor to provide the chip count data to a machine-learning module configured to generate predictive chip allocation parameters for a plurality of chip counting trays throughout the casino.
8 . A method for an automated casino flow processing based on chip movement-related data, comprising: acquiring, by a casino flow management server (SFMS) node, chip count data from the chip counting tray; associating, by the SFMS node, each counted chip with a blockchain digital asset comprising a casino token; recording, by the SFMS node, the digital asset on a blockchain ledger along with a current location indicator reflecting a casino table and the chip counting tray where the counted chip is located; detecting, by the SFMS node, a movement of the counted chip in and out of the tray and update the location indicator on the blockchain ledger; continuing, by the SFMS node, to monitor the chip count data from the chip counting tray and recording the chip count data on the blockchain; and providing, by the SFMS node, the current chip count data to a mobile blockchain node associated with a managing entity.
9 . The method of claim 8 , wherein the chip counting tray comprises a plurality of light sources and at least one panel of photo-transistor pairs configured to detect the emission from the light sources.
10 . The method of claim 8 , further comprising minting an NFT for each of the counted chips and recording the NFT on a blockchain digital wallet associated with the chip counting tray.
11 . The method of claim 8 , further comprising transferring the casino token to a digital wallet of a player who won the chip associated with the casino token.
12 . The method of claim 8 , further comprising continually monitoring the chip count data recorded on the blockchain to compare the chip count data against a threshold set for a chip counting tray located on the casino table.
13 . The method of claim 8 , further comprising, responsive to the chip count data recorded on the blockchain exceeding or falling below a threshold, dispatching an alert notification to the mobile blockchain node associated with the managing entity indicating that chips need to be added to or moved out of the chip counting tray.
14 . The method of claim 8 , further comprising providing the chip count data to a machine-learning module configured to generate predictive chip allocation parameters for a plurality of chip counting trays throughout the casino.
15 . The method of claim 14 , further comprising generating staff assignment parameters based on the predictive chip allocation parameters.
16 . A non-transitory computer-readable medium comprising instructions, that when read by a processor, cause the processor to perform: acquiring chip count data from the chip counting tray; associating each counted chip with a blockchain digital asset comprising a casino token; recording the digital asset on a blockchain ledger along with a current location indicator reflecting a casino table and the chip counting tray where the counted chip is located; detecting a movement of the counted chip in and out of the tray and update the location indicator on the blockchain ledger; continuing to monitor the chip count data from the chip counting tray and recording the chip count data on the blockchain; and providing the current chip count data to a mobile blockchain node associated with a managing entity.
17 . The non-transitory computer readable medium of claim 16 , further comprising instructions, that when read by the processor, cause the processor to transfer the casino token to a digital wallet of a player who won the chip associated with the casino token.
18 . The non-transitory computer readable medium of claim 16 , further comprising instructions, that when read by the processor, cause the processor to continually monitor the chip count data recorded on the blockchain to compare the chip count data against a threshold set for a chip counting tray located on the casino table.
19 . The non-transitory computer readable medium of claim 16 , further comprising instructions, that when read by the processor, cause the processor to responsive to the chip count data recorded on the blockchain exceeding or falling below a threshold, dispatch an alert notification to the mobile blockchain node associated with the managing entity indicating that chips need to be added to or moved out of the chip counting tray.
20 . The non-transitory computer readable medium of claim 16 , further comprising instructions, that when read by the processor, cause the processor to provide the chip count data to a machine-learning module configured to generate predictive chip allocation parameters for a plurality of chip counting trays throughout the casino.

Description

TECHNICAL FIELD This application generally relates to a casino flow management system, and more particularly, to a monitoring of casino chips movements based on blockchain networks. BACKGROUND Chip counting device have been used in casinos for chip counts and management. These chip counting applications usually record chip counts in the charts or in databases. A centralized database stores and maintains data in one single database (e.g., database server) at one location. This location is often a central computer, for example, a desktop central processing unit (CPU), a server CPU, or a mainframe computer. Information stored on a centralized database is typically accessible from multiple different points. Multiple users or client workstations can work simultaneously on the centralized database, for example, based on a client/server configuration. A centralized database is easy to manage, maintain, and control, especially for purposes of security because of its single location. Within a centralized database, data redundancy is minimized as a single storing place of all data also implies that a given set of data only has one primary record. However, a centralized database suffers from significant drawbacks. For example, a centralized database has a single point of failure. In particular, if there are no fault-tolerance considerations and a hardware failure occur (for example, the hardware, a firmware, and/or a software failure), all data within the database is lost and work of all users is interrupted. In addition, centralized databases are highly dependent on network connectivity. As a result, the slower the connection, the amount of time needed for each database access is increased. Another drawback is the occurrence of bottlenecks when a centralized database experiences high traffic due to a single location. Furthermore, a centralized database provides limited access to data because only one copy of the data is maintained by the database. As a result, multiple devices cannot access the same piece of data at the same time without creating significant problems or risk overwriting stored data. Furthermore, because a database storage system has minimal to no data redundancy, data that is unexpectedly lost is very difficult to retrieve other than through manual operation from back-up storage. Conventionally, a centralized database is limited by low search capability, lack of security and slow speed of transactions. As such, what is needed is blockchain-based solution to overcome these significant drawbacks. Conventional casino management systems use centralized databases. For example, US2019213830(A1) discloses “CASINO CHIP TRAY MONITORING SYSTEM” that uses the database to store chip-related data. Similarly, WO2018227294(A1) discloses “SYSTEMS, METHODS AND DEVICES FOR MONITORING GAMING TABLES” that also uses conventional storage means. Further, US2023237868(A1) discloses “CHIP TRACKING SYSTEM” and U.S. Pat. No. 11,030,855 (B1) discloses “SENSOR EQUIPPED DEVICE FOR HOLDING AND COUNTING GAMING CHIPS” that use conventional centralized databases. Accordingly, it is desired to maintain an immutable provenance of the casino chips flow, excess amounts and/or depletion of the chips at the tables using a blockchain shared immutable ledger. SUMMARY One example embodiment provides a system that includes a processor and memory, wherein the processor is configured to perform one or more of acquire chip count data from the chip counting tray; associate each counted chip with a blockchain digital asset comprising a casino token; record the digital asset on a blockchain ledger along with a current location indicator reflecting a casino table and the chip counting tray where the counted chip is located; detect a movement of the counted chip in and out of the tray and update the location indicator on the blockchain ledger; continue to monitor the chip count data from the chip counting tray and record the chip count data on the blockchain; and provide current chip count data to a mobile blockchain node associated with a managing entity. Another example embodiment provides a method that includes one or more of acquiring chip count data from the chip counting tray; associating each counted chip with a blockchain digital asset comprising a casino token; recording the digital asset on a blockchain ledger along with a current location indicator reflecting a casino table and the chip counting tray where the counted chip is located; detecting a movement of the counted chip in and out of the tray and update the location indicator on the blockchain ledger; continuing to monitor the chip count data from the chip counting tray and recording the chip count data on the blockchain; and providing current chip count data to a mobile blockchain node associated with a managing entity. A further example embodiment provides a non-transitory computer-readable medium comprising instructions, that when read by a processor, cause the processor to perform