Antenna Reflection Coefficient Detection for Automated Gaming Event Monitoring
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Solution Overview
Problem
Existing gaming systems require manual intervention to detect and process events, which is inefficient and can lead to errors, as they rely on human observation through remote cameras rather than automated methods.
Innovation Solution
A system that uses an antenna, a network analyzer, and a control device to detect changes in reflection coefficients associated with human interactions, allowing for automated control of game states in a gaming environment by positioning antennas on a gaming table and integrating RFID technology to read identifiers of nearby tags.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual intervention is used to detect and process events in a gaming environment, then human observation can identify events, but the system requires continuous human involvement which reduces efficiency and increases error potential
Solution Approach 1:
The system enables automated event detection and processing through RFID readers and cameras that autonomously monitor the gaming table, eliminate the need for continuous human observation and manual event processing
Solution Approach 2:
Manual human observation and event processing are replaced with an automated electronic system comprising RFID readers, cameras, and control devices that detect and process events automatically
2Extent of automation
If RFID technology is used to track gaming tokens, then token location can be monitored automatically, but the system complexity increases with multiple antennas and readers
Solution Approach 1:
The RFID readers and antennas are designed to perform multiple functions including token detection, player identification, and event monitoring, reducing the need for separate dedicated devices for each function
Solution Approach 2:
The control device serves as an intermediary that processes signals from multiple RFID readers and cameras, coordinating their operations and managing the data flow to simplify the overall system architecture
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enables automated detection and processing of events in a gaming environment, reducing the need for manual intervention and improving efficiency by using reflection coefficient changes to control game states, thereby enhancing the accuracy and speed of event monitoring.
Implementation Method 1
The network analyzer device is coupled to the antenna and is configured to detect reflection coefficients that are associated with the antenna. The reflection coefficients change as a human appendage interacts with the antenna.
Implementation Method 2
The system may further include a radio frequency identification (RFID) reader device that is configured to selectively energize the antenna and to read identifiers of RFID tags that are nearby to the antenna.
Data Source
AI summary
A gaming table includes a network analyzer. The network analyzer detects antenna reflection coefficients faster than RFID tags can be read, enabling game state information to be monitored quickly. The network analyzer detects changes in the reflection coefficients that result from movements of a human appendage, enabling the system to change game states in response to the detected hand movements.


