VR Activity Allocation via Real-Time Video and IoT Device Scoring
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Solution Overview
Problem
Current virtual reality technologies lack the ability to efficiently allocate tasks in a physical environment based on user actions within a virtual reality environment, limiting remote monitoring and control capabilities.
Innovation Solution
A computer-implemented method that generates a real-time virtual reality environment using live camera feeds, detects user actions, determines corresponding tasks, scores electromechanical devices based on capability, and assigns tasks to the best-suited device, enabling remote task execution through IoT and network communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If virtual reality technology is used for remote monitoring, then user immersion and interaction are improved, but the ability to efficiently allocate and execute tasks in the physical environment deteriorates
Solution Approach 1:
The patent introduces an intermediary system consisting of electromechanical devices and a task allocation algorithm that bridges the virtual reality environment and the physical environment. The system captures physical environment data, processes it through the VR interface, and automatically executes tasks through connected electromechanical devices, resolving the contradiction between immersive monitoring and efficient task execution.
2Measurement precision
If manual task execution is required in virtual reality, then control precision is improved, but time consumption and operational complexity deteriorate
Solution Approach 1:
The patent enables self-service automation where the system automatically matches detected tasks with suitable electromechanical devices and executes them without requiring continuous manual intervention. The task allocation algorithm autonomously selects the most appropriate device based on task requirements, reducing both time consumption and operational complexity while maintaining precision through the VR interface.
Solution Approach 2:
The system performs preliminary actions by pre-configuring electromechanical devices and pre-processing environment data before tasks are executed. Tasks are detected and matched with devices in advance, and devices are prepared and positioned ready for execution, significantly reducing actual task execution time while maintaining control precision.
3Measurement precision
If comprehensive device monitoring is implemented, then task allocation accuracy is improved, but system complexity and computational requirements deteriorate
Solution Approach 1:
The patent segments the monitoring and allocation system into modular components: environment data capture, task detection and classification, device status monitoring, capability matching algorithm, and execution coordination. Each module handles a specific aspect of the process, reducing overall system complexity while enabling comprehensive monitoring and accurate task allocation through specialized processing in each segment.
Data Source
AI summary
Disclosed embodiments provide techniques for virtual reality enabled activity allocation. A camera system monitors a physical environment from multiple angles, generating real-time video feeds of the physical environment. A real-time virtual reality environment (RTVRE) rendering system utilizes the real-time video feeds as input to create a virtual reality environment that is representative of the physical environment. A user performs an action in the virtual environment that corresponds to a task to be performed in the physical environment. A computer-implemented virtual reality control management system assesses the task and assigns the task to an electromechanical device that is best-suited to perform the task, based on a scoring algorithm. This enables actions such as remote monitoring and control of a premises. Thus, disclosed embodiments improve the technical field of remote monitoring and control of a premises.