Crowdsourced Real-World Content Capture for Digital Simulations
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Solution Overview
Problem
Existing digital simulation technologies struggle to effectively incorporate real-world physical environment aspects, leading to gaps in simulation fidelity and realism.
Innovation Solution
A system and method for crowd-sourced content generation, where devices capture and integrate real-world content into digital simulations, using a request-based framework to ensure content meets specified requirements, and a cloud-based infrastructure for scalable content management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If digital simulation technologies use traditional content generation methods, then the system complexity remains manageable, but the simulation fidelity and realism are insufficient
Solution Approach 1:
The system segments content generation into multiple components: simulation engine, content generator, quality assessment module, and device coordination system. Each component handles specific tasks independently, allowing high fidelity simulation through coordinated specialized modules rather than monolithic complexity
Solution Approach 2:
The patent introduces intermediary components including content generators that bridge simulation requirements and real-world content capture, and quality assessment modules that mediate between captured content and simulation integration standards, managing complexity through structured intermediate processing layers
2Quantity of substance
If crowd-sourced content is captured from multiple devices, then the quantity and diversity of real-world content increases, but the difficulty of detecting and measuring content quality increases
Solution Approach 1:
The system implements feedback loops where captured content is automatically assessed by quality assessment modules against predefined criteria. Devices receive feedback on content quality metrics, enabling iterative improvement and automated filtering of substandard content from the crowd-sourced pool
Solution Approach 2:
The patent employs parameter-based quality assessment, transforming qualitative content evaluation into quantitative measurements across multiple dimensions (resolution, accuracy, temporal synchronization). This parameterization enables automated comparison and selection of content meeting simulation requirements
3Manufacturing precision
If real-time content capture and integration is implemented, then the simulation realism is improved, but the loss of time for content processing increases
Solution Approach 1:
The system performs preliminary actions by pre-defining content requirements, pre-configuring quality assessment criteria, and pre-establishing integration protocols. Content generators and assessment modules are prepared in advance, enabling rapid processing when real-world content capture is triggered without ad-hoc decision delays
Solution Approach 2:
The patent implements continuous content capture and processing pipelines where devices continuously monitor for capture opportunities, content is continuously assessed upon capture, and qualified content is continuously integrated into simulations. This continuous flow eliminates idle time and maintains constant progress toward realistic simulation updates
4Adaptability or versatility
If distributed devices are used for content generation, then the versatility of content sources increases, but the device complexity for coordination and management increases
Solution Approach 1:
The system employs universal communication protocols and standardized content formats that enable diverse devices to participate in content generation without requiring device-specific coordination logic. The simulation engine and content generators handle device heterogeneity through universal interfaces, maintaining simplicity despite source diversity
Data Source
AI summary
Aspects of the subject disclosure may include, for example, defining at least one requirement for a capture of source content in the physical world, generating a request for the source content in accordance with the at least one requirement, obtaining first source content from a first content generator based on the request, and generating a digital representation of the physical world based on the first source content. Other embodiments are disclosed.


