Playing Card Condition Tracking With Sensor-Based Anomaly Detection
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Solution Overview
Problem
Existing systems for monitoring the physical condition of playing cards in gaming environments are manual, time-consuming, subjective, and prone to error, failing to effectively track changes or anomalies that could compromise game integrity and security.
Innovation Solution
A networked system using sensors integrated with card-handling devices collects and analyzes sensor data to track the physical condition of playing cards over time, detecting anomalies and updating a data map to maintain card integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection methods are used to monitor card condition, then device complexity is reduced, but measurement precision and reliability deteriorate due to subjectivity and errors
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated sensor-based monitoring system. Sensors integrated with card-handling devices collect objective data about card physical conditions, eliminating human subjectivity and improving measurement precision while maintaining manageable system complexity through automated data processing
Solution Approach 2:
The system creates a digital copy of card condition data through sensor measurements and stores it in a database. This digital representation allows for precise tracking of card physical changes over time without requiring continuous physical inspection, improving measurement accuracy while reducing operational complexity
2Productivity
If manual inspection is performed, then device complexity is minimized, but productivity decreases due to time-consuming inspections
Solution Approach 1:
The monitoring system operates autonomously by automatically collecting sensor data from card-handling devices, processing the data to detect anomalies, and updating records without requiring manual intervention. This self-service capability dramatically improves productivity while the automated nature of the system keeps complexity manageable
Solution Approach 2:
The system continuously monitors card conditions through automated sensor data collection across multiple playing rounds, eliminating the interruptions and time losses associated with manual inspections. This continuous monitoring improves productivity by maintaining constant surveillance without requiring human operators
3Reliability
If automated sensor monitoring is implemented, then reliability and measurement precision improve, but device complexity increases
Solution Approach 1:
The sensor system is designed to perform multiple functions including detecting various physical card conditions, tracking changes over time, and providing anomaly alerts. This multi-functionality consolidates monitoring capabilities into a single integrated system, improving reliability while managing complexity through unified design
Solution Approach 2:
The system continuously collects sensor data, compares it against established card condition profiles, and provides feedback when anomalies are detected. This feedback mechanism ensures reliable card integrity monitoring by automatically identifying deviations from normal conditions, while the systematic approach to data processing manages system complexity
4Loss of information
If manual inspection is used, then system complexity is reduced, but loss of information occurs due to subjective assessment and errors
Solution Approach 1:
The patent replaces subjective manual assessment with objective sensor measurements that automatically capture card physical conditions. This substitution eliminates information loss due to human error and subjectivity, while the structured data collection approach manages complexity through standardized measurement protocols
Solution Approach 2:
The system establishes baseline card condition profiles before play begins and continuously compares subsequent measurements against these profiles. This preliminary action of creating reference data enables accurate detection of condition changes and prevents information loss by providing a consistent basis for comparison across all monitoring events
Data Source
AI summary
Systems and methods are disclosed for tracking the physical condition of individual playing cards in a casino. Sensors within card-handling devices on a casino network collect data on a unique physical playing card across multiple game rounds. This sensor data, reflecting the card's physical state including observable characteristics, is recorded in a map for the card within a data store. This map allows changes in the card's condition, based on its unique physical features and any developing anomalies, to be tracked over time. By analyzing this map, anomalies representing deviations from the card's previously recorded condition are detected. Upon detection, the map is updated with details of the anomaly and its detection context. This enables ongoing monitoring and identification of changes to specific playing cards during their use in a gaming environment.