Mixed Reality System Synchronizing Cross-Device Collaboration
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Solution Overview
Problem
Current systems lack the capability to enable users across different geographic locations to interactively view and modify the same virtual content in real-time across various devices, including AR, VR, and PC, while allowing for seamless content creation, importation, and synchronization of assets from external or internal data sources, including machine learning models.
Innovation Solution
A modular, device-agnostic system that synchronizes and delivers immersive virtual simulation content across AR, VR, and PC devices, allowing multiple users to interact and modify shared content in real-time, utilizing a cloud-based content repository and machine learning models for dynamic content generation and recommendation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a system enables real-time interactive viewing and modification of virtual content across multiple devices and geographic locations, then collaborative capability and user engagement are improved, but system complexity and synchronization requirements increase
Solution Approach 1:
The patent introduces a server as an intermediary component that manages content synchronization between multiple user devices. The server receives content from external data sources, processes it, and distributes it to various devices (AR, VR, PC, mobile), thereby coordinating the complex interactions without requiring direct peer-to-peer synchronization between all devices, thus managing system complexity while enabling collaboration
Solution Approach 2:
The system is designed to support multiple device types (AR devices, VR devices, PCs, mobile devices) and multiple content formats through a unified platform. The server and client applications are configured to handle various data types and device capabilities universally, allowing the same system architecture to serve diverse collaborative scenarios across different platforms and user configurations
2Reliability
If the system synchronizes content across AR, VR, and PC devices in real-time, then collaborative experience quality is improved, but data transmission requirements and network bandwidth increase
Solution Approach 1:
The patent extracts and separates different data types and content formats into distinct data structures and transmission protocols. The system identifies and extracts only the essential synchronization data needed for collaborative functionality, transmitting minimal necessary information between devices while maintaining synchronization quality, thereby reducing overall data transmission volume
Solution Approach 2:
The system dynamically adjusts data transmission parameters based on device type, network conditions, and content characteristics. Different data formats and compression levels are applied for AR, VR, and PC devices, optimizing the balance between synchronization quality and data transmission efficiency for each specific device and scenario
3Adaptability or versatility
If the system allows seamless content creation and importation from external sources, then content versatility is improved, but system architecture complexity increases
Solution Approach 1:
The patent segments the content management system into distinct functional modules: external data source interfaces, content ingestion processors, format converters, and distribution handlers. This modular architecture allows the system to support multiple external data sources and content formats without creating a monolithic complex system, as each module can be independently configured and maintained
4Adaptability or versatility
If the system supports multiple device types with different capabilities, then device agnosticism and accessibility are improved, but configuration and compatibility management become more difficult
Solution Approach 1:
The system employs dynamic configuration capabilities where device parameters, content formats, and interaction modes are automatically adjusted based on the specific device type and user preferences. The server and client applications can dynamically adapt to different device capabilities (AR, VR, PC, mobile) without requiring manual reconfiguration, making the system device-agnostic while maintaining ease of operation
Data Source
AI summary
A method and system provides a device and content agnostic, interactive, collaborative and synchronized virtual world comprising of three dimensional and two dimensional virtual objects defined by data, which can be viewed, customized, built on and interacted with simultaneously by geographically disparate users with different device types, including VR, AR, Tablet, and Computer devices, whereby the content may be ingested from or controlled by data and models from external sources or the system's internal storage. A machine learning component is implemented as a set of software containers. The containerized solution can be deployed as an enterprise service, in a cloud architecture, or as a part of a monolithic deployment that runs natively in any one of the components as part of the larger architecture. Exemplary use cases include: Real Estate property demonstration, property design, landscape design; health care medical image presentation, clinical decision support, training; Military training, planning, observation, and combat decision support.