Multi-Cabinet Game Build Asset Segmentation
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Solution Overview
Problem
Existing electronic gaming machines are limited by specific hardware configurations, making it difficult to design and deploy game content across different cabinet types, as hard-coded content loses functionality and image fidelity when scaled across varying display sizes, orientations, and resolutions.
Innovation Solution
A system and method that configures gaming machines to use a multi-cabinet game build, utilizing a common set of assets deployable across different cabinet types, with tailored assets for specific orientations, allowing game content to be optimized for each cabinet type, including a configuration tool to define and store game build configurations based on cabinet information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If game content is hard-coded for a specific cabinet type, then the game performance and image fidelity are optimized for that cabinet, but the game cannot be deployed across different cabinet types without losing functionality and image quality
Solution Approach 1:
The game content is segmented into multiple resolutions and configurations stored in a database. The system divides the single game content into versions suitable for different cabinet types (e.g., single display, dual display, portrait, landscape) and selects the appropriate segment based on the detected cabinet configuration, thereby maintaining image fidelity across diverse hardware without requiring hard-coding for each cabinet type.
Solution Approach 2:
The system changes the parameter of game content resolution and configuration based on the detected cabinet type. By detecting display orientation, number of displays, and resolution capabilities, the system dynamically selects or transforms game content parameters to match the target cabinet, enabling versatile deployment while preserving image quality through parameter adaptation rather than fixed hard-coding.
2Productivity
If developers optimize game content for a specific cabinet type, then the game feel and performance are maximized for that cabinet, but the content cannot be effectively utilized on other cabinet types
Solution Approach 1:
The game content is designed with universal adaptability to function across multiple cabinet types. By incorporating multiple resolution versions and configuration options within a single game content package, the system enables one game content to serve multiple cabinet types (single display, dual display, portrait, landscape) while maintaining optimized game feel through selective deployment of the appropriate configuration for each cabinet type.
3Adaptability or versatility
If image scaling is applied to transfer game content between different cabinet configurations, then the content can be displayed on various cabinets, but there is a significant loss of image fidelity
Solution Approach 1:
Instead of scaling a single high-resolution image, the game content is segmented into multiple pre-rendered versions at different resolutions. The system selects the version that matches the target cabinet's display capabilities, eliminating the need for image scaling and preserving image fidelity while achieving cabinet configuration compatibility.
4Manufacturing precision
If multiple instances of game content are maintained for different cabinet types, then each cabinet type receives optimized content, but the complexity of managing and deploying content increases
Solution Approach 1:
Multiple instances of game content for different cabinet types are merged into a single unified game content package. The content includes multiple resolution versions and configuration options that are stored together in a database, allowing the system to select and deploy the appropriate version based on the detected cabinet type, thereby reducing management complexity while maintaining optimization for each cabinet.
Solution Approach 2:
The system implements self-service by automatically detecting the cabinet type and selecting the appropriate game content configuration without manual intervention. The configuration tool automatically identifies the cabinet specifications and retrieves the matching content version from the database, eliminating the need for manual content management and deployment across different cabinet types.
Data Source
AI summary
A multi-cabinet game build is disclosed. The multi-cabinet game build includes common game play assets and tailored game play assets. The common game play assets are shared by gaming machines across multiple cabinet types. The tailored game play assets are used by gaming machines of a certain cabinet type. A configuration tool is also disclosed which permits a technician to specify a game build configuration for a gaming machine, which configures the gaming machine to present a game of a multi-cabinet game build using the common game play assets and appropriate tailored game play assets for the gaming machine.