Crowdsourced Content Capture for Accurate Digital Simulation
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Solution Overview
Problem
Existing technologies struggle to effectively incorporate real-world physical content into digital simulations, leading to gaps or inaccuracies in the simulation experience.
Innovation Solution
A system and method for capturing and integrating real-world content into digital simulations by defining requirements, requesting content from capable devices, and generating a digital representation based on the captured content, using a cloud-based infrastructure to manage and coordinate the content generation and integration process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If real-world content is incorporated into digital simulations, then realism and accuracy of simulation is improved, but system complexity and coordination overhead increases
Solution Approach 1:
A cloud-based platform acts as an intermediary between content requestors and content generators. The platform receives content requests, identifies suitable generating devices based on capabilities and location, coordinates content capture, and integrates the captured content into simulations. This mediator architecture manages the complexity of coordinating multiple devices while enabling accurate real-world content incorporation.
Solution Approach 2:
The system implements feedback loops where the platform continuously monitors content generation status, quality metrics, and device availability. Based on this feedback, the platform dynamically adjusts content requests, reassigns tasks to different devices, and optimizes the integration process. This feedback mechanism maintains simulation accuracy while adapting to changing system conditions and complexity levels.
2Quantity of substance
If multiple content generating devices are coordinated, then content coverage and variety is improved, but communication overhead and coordination time increases
Solution Approach 1:
The content generation task is segmented into independent sub-tasks that can be distributed to multiple devices simultaneously. The platform divides the overall content capture requirements into discrete units based on device capabilities, locations, and available resources. Each device executes its assigned segment independently, then contributes to the complete content set. This segmentation enables parallel processing, expanding content coverage while minimizing coordination time through reduced inter-device dependencies.
3Manufacturing precision
If real-world content is captured and integrated, then simulation realism is improved, but data processing and integration complexity increases
Solution Approach 1:
The platform extracts and separates the data processing and integration functions from the content capture process. Content generating devices focus solely on capturing raw real-world content, while the cloud-based platform handles all processing, validation, formatting, and integration operations. This extraction of complex processing tasks to a centralized platform enables high-quality simulation realism while keeping individual device complexity low.
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.