3D Spatial Data Indexing for Remote Collaboration
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Solution Overview
Problem
Current IT environments face challenges in efficiently curating, searching, and analyzing vast amounts of diverse data, particularly in remote collaboration for extended reality environments, where users struggle to interact with real-world environments due to limited views and restricted analysis capabilities.
Innovation Solution
A data intake and query system, similar to the SPLUNK® ENTERPRISE system, is employed to collect, index, and search machine data from various sources, using a flexible schema and late-binding schema to facilitate efficient data retrieval and analysis, enabling users to search all machine data and derive insights from diverse data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional video streaming is used for remote collaboration, then users can share visual information, but the remote participant's ability to analyze physical objects is limited by the host's view
Solution Approach 1:
The patent transitions from 2D video streaming to immersive 3D/360-degree virtual reality environments, enabling remote participants to view physical spaces from multiple angles and perspectives simultaneously, thereby overcoming the single-viewpoint limitation of conventional video
Solution Approach 2:
The system enables multiple users to simultaneously access and interact with the same physical environment from different locations, allowing the host environment to serve multiple remote participants with diverse analytical needs rather than being limited to a single host perspective
2Adaptability or versatility
If multiple data sources are accessed in IT environments, then diverse data becomes available for analysis, but curating and searching the data becomes technically challenging
Solution Approach 1:
The patent introduces a centralized data intake and query system that acts as an intermediary between multiple diverse data sources and users, automatically collecting, indexing, and organizing data from various sources without requiring users to manually curate or manage the complexity of multiple data sources
Solution Approach 2:
The system performs preliminary data collection, indexing, and organization automatically before users need to access the data, so that when users query the system, the data is already prepared and searchable, eliminating the need for users to perform complex data curation tasks
Data Source
AI summary
Various implementations of the present application set forth a method comprising receiving, by a remote device from a host device, geometry data representing a physical space that is remote to a location of the remote device, where the geometry data comprises a set of vertices, a set of faces comprising edges between pairs of vertices, and texture data, constructing, based on the geometry data, an adaptable three-dimensional (3D) representation of the physical space for display at the location of the remote device, receiving, by the remote device, an input representing an interaction with at least one portion of the adaptable 3D representation, and transmitting, to the host device, data corresponding to the interaction.