Playing Card Back Detection Using Ambient Infrared and Ultraviolet Radiation
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Solution Overview
Problem
Current methods for detecting fraudulent markings or defects on playing cards, especially those invisible to the naked eye, are inadequate as they often fail to detect newer, sophisticated techniques, allowing cheaters to gain an advantage in games despite visual and automated inspections.
Innovation Solution
A system that utilizes ambient infrared and ultraviolet radiation to reflect off the back of playing cards, capturing this radiation with sensors and processing the data to compare against reference images, highlighting or alerting to any deviations, thereby identifying fraudulent or defective cards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection methods are used to detect markings on playing cards, then the inspection process is simple and fast, but invisible markings (infrared, ultraviolet) cannot be detected
Solution Approach 1:
The inspection system is segmented into multiple specialized sensors, each designed to detect specific types of markings (visible, infrared, ultraviolet). This allows the system to maintain high detection precision across different marking types while managing complexity through modular sensor design rather than requiring a single complex multi-functional device.
Solution Approach 2:
The system integrates multiple sensing capabilities (visible light, infrared, ultraviolet) into a single inspection platform that can detect all types of markings universally. This multi-functional approach resolves the contradiction by providing comprehensive detection precision while consolidating the complexity into one integrated system rather than requiring separate inspection devices for each marking type.
2Measurement precision
If automated reading and sensing systems are deployed to detect card markings, then detection accuracy improves, but the system complexity and cost increase
Solution Approach 1:
The system dynamically adjusts which sensors are activated based on the inspection context and card type being examined. This dynamic operation allows the automated system to maintain high detection accuracy when needed while reducing operational complexity and resource consumption during routine inspections, effectively resolving the contradiction between precision and complexity.
Solution Approach 2:
The system changes operational parameters such as sensor activation states, illumination intensity, and scanning speed based on the inspection requirements. By adjusting these parameters dynamically, the system achieves high detection accuracy for suspicious cards while maintaining lower complexity and resource usage for normal operation, resolving the contradiction between precision and complexity.
3Adaptability or versatility
If multiple types of markings are inspected simultaneously, then comprehensive detection is achieved, but the inspection system becomes more complex and less effective for individual marking types
Solution Approach 1:
The system segments the detection task by assigning specific sensors to detect specific marking types (visible light sensors for printed markings, infrared sensors for infrared markings, ultraviolet sensors for ultraviolet markings). This segmentation allows the system to maintain versatility in detecting multiple marking types while preserving high precision for each individual marking type through specialized detection mechanisms.
Solution Approach 2:
The system uses intermediary processing components that analyze data from multiple sensors and coordinate their operations. This intermediary layer enables comprehensive detection of various marking types while optimizing the precision of individual detections by selectively processing and highlighting specific marking types based on the inspection context, resolving the contradiction between versatility and effectiveness.
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
Enhances the ability to detect subtle markings and defects on playing cards, providing a more secure gaming environment by accurately identifying fraudulent cards and preventing cheating.
Implementation Method 1
providing ambient infrared radiation at a gaming table and reflecting at least some of that infrared radiation off a back surface of a playing card; capturing reflected infrared radiation with an infrared radiation sensor
Implementation Method 2
providing ambient ultraviolet radiation at a gaming table and reflecting at least some of that ultraviolet radiation off a back surface of a playing card; capturing reflected ultraviolet radiation with an ultraviolet radiation sensor
Data Source
AI summary
Methods and systems detect markings or flaws on the backs of playing cards. The method includes: providing ambient radiation at a gaming table and reflecting some of that radiation off a back surface of a playing card; capturing reflected radiation with a radiation sensor; the radiation sensor transmitting signals based on the reflected radiation captured by the radiation sensor; the transmitted signals providing data that contains image data of the back of the playing card; and displaying an image of the back of the playing card based on the image data. The transmitted signals provide image data of the back of the playing card and are also received by a processor that evaluates or compares that data. The system may be an installed casino system (with eye-in-the-sky technology), a portable box, or a component within a shuffling device or dealer shoe.