Dice Outcome Prediction From Bottom-Face Image Capture
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Solution Overview
Problem
The migration to online gaming has deprived collectors of the ability to use their physical dice collections in actual games, and existing wireless-enabled dice do not effectively leverage the entire collection.
Innovation Solution
A rollable object classification system that captures an image of a die's bottom side and uses a die map or formula to determine face indicators on non-captured faces, adaptable to different types of rollable objects without modifying existing dice.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If wireless-enabled dice are used to enable online gaming, then connectivity and online game participation are improved, but the ability to use the entire physical dice collection is lost
Solution Approach 1:
The system creates a digital copy of the physical die by capturing an image of the bottom face and using computer vision to identify the face value. This digital representation is then transmitted to online gaming platforms, allowing physical dice to be used in digital games without modifying the dice themselves.
Solution Approach 2:
The patent introduces an intermediary system consisting of a camera, image processing algorithm, and communication interface that bridges physical dice and online gaming platforms. This intermediary captures the die state, processes it through image recognition, and transmits the result to the online game, enabling compatibility without direct integration.
2Adaptability or versatility
If custom dice are used to maintain collection diversity, then player preference and collection value are preserved, but compatibility with standardized online gaming systems is reduced
Solution Approach 1:
The system is designed to work with any die that has a distinguishable bottom face, regardless of the number of sides or face values. The image recognition algorithm can identify various die types (d6, d8, d10, d12, d20) and custom dice, making the system universally compatible with diverse collections while maintaining standardized communication protocols.
3Adaptability or versatility
If the bottom side of the die is captured to determine face indicators, then adaptability to different dice types is improved, but image capture complexity increases
Solution Approach 1:
Instead of capturing the traditional top face of the die, the system captures the bottom face (opposite side). This inversion simplifies the imaging process because the bottom face remains stationary and easily visible when the die is rolled on a flat surface, eliminating the need for complex angle adjustments or multiple capture attempts required by top-face capture methods.
Data Source
AI summary
A rollable object outcome reader comprises a rolling surface that supports on a first side one or more rollable objects each including a plurality of surfaces that each include a respective face indicator and an image capture device configured to capture an image of a second side opposite the first side. The outcome reader includes a control system that receives the captured image and determines an orientation of a rollable object on the first side of the rolling surface based on the captured image by determining a first face indicator of a first surface of the rollable object resting on and directly facing the first side of the rolling surface and determining a second face indicator of a second surface of the rollable object opposite the first surface based on the determined first face indicator of the first surface based on a predetermined relationship for the rollable object.