Multi-Tenancy VR Training Platform With Real-Time Performance Tracking
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Solution Overview
Problem
Existing VR systems lack a dedicated multi-tenancy infrastructure that provides flexibility, security, and accurate real-time data tracking and performance evaluation, especially for hands-on training, while being cost-effective and scalable.
Innovation Solution
A multi-tenancy VR system with a central platform, user platform, back office, and VR training module, utilizing a source code module with embedded VR plugins for real-time data tracking, access authentication, and back office management, enabling real-time data collection and evaluation of training performance across multiple tenants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a dedicated VR infrastructure is provided for each tenant, then security and control are improved, but cost and device complexity increase significantly
Solution Approach 1:
The patent combines multiple tenants' VR infrastructure requirements into a single shared platform. The system allows multiple tenants to access and utilize the same VR hardware and software resources simultaneously, eliminating the need for separate dedicated infrastructures for each tenant while maintaining security through virtualization and access control mechanisms.
Solution Approach 2:
The VR platform is designed with universal functionality to serve multiple tenants with different training requirements. The system provides a unified infrastructure that can be configured and allocated to different tenants based on their specific needs, making the infrastructure multi-functional rather than single-purpose.
2Measurement precision
If real-time data tracking is implemented, then training performance evaluation is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The VR system automatically tracks and collects training data without requiring external intervention. The platform inherently captures user interactions, performance metrics, and training progress through integrated sensors and software, eliminating the need for separate data collection systems and reducing overall system complexity.
3Productivity
If multiple tenants share the same hardware infrastructure, then cost-effectiveness and scalability are improved, but security and data isolation become more challenging
Solution Approach 1:
The patent segments the shared VR infrastructure into isolated virtual environments for each tenant. Through virtualization techniques, the system creates logical separation between tenants while physically sharing the same hardware resources, ensuring that each tenant's data and training sessions remain secure and isolated from others.
4Reliability
If comprehensive access authentication and back office management are integrated, then user control and security are improved, but system complexity increases
Solution Approach 1:
The back office management system is designed as a universal platform that handles multiple functions including access authentication, user management, and security control within a single integrated system. This multi-functional approach consolidates what could be separate complex systems into one unified management interface.
Data Source
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AI summary
The present invention discloses a multi-tenancy virtual reality, VR, system for providing hands-on VR environment, training, and evaluation therefor, and a method thereof. The multi-tenancy VR system comprises a central platform (100) comprising a user platform (101) and a back office (102) connected to a server (103); and a VR training module (200) in communication with the central platform (100) comprising a source code module (201) configured for selectively rendering one or more VR contents representing the hands-on VR environment, training, and evaluation to a trainee on the user platform (101) via the server (103). The source code module (201) comprises a VR plugin or component having a division code embedded therein, which permits real-time data tracking by the VR plugin or component that collects division data, including time taken and status of division completion by the trainee with respect to the one or more VR contents rendered thereof.