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Duration 28 hours
Course Outline
Introduction to Virtual and Augmented Reality
- Core definitions and distinctions between VR and AR
- Historical progression and technological evolution
- Current market trends and future projections
- Summary of sector-specific use cases
- Advantages and obstacles associated with VR/AR integration
VR/AR Hardware and Software Infrastructure
- VR headsets, AR eyewear, and supporting hardware
- Development platforms and software utilities for VR/AR
- Comparative analysis of leading VR/AR systems
VR/AR Implementation in Automation
- Training simulations and scenario replication
- Maintenance operations and diagnostic troubleshooting
- Process oversight and control mechanisms
VR Development Toolkits
- Unity and Unreal Engine frameworks
- VR SDKs and API interfaces
- 3D modeling and simulation applications
AR Development Toolkits
- ARKit, ARCore, and Vuforia platforms
- Mobile AR development environments
- Marker-based and markerless AR methodologies
Integration with Automation Systems
- Linking VR/AR with PLCs, SCADA, and DCS
- Data visualization and user interaction protocols
User Experience and Interface Architecture
- Fundamentals of VR/AR UX/UI design
- Ergonomic standards and user comfort considerations
- Interaction paradigms and input device specifications
Prototyping and Development Lifecycle
- Constructing VR/AR prototypes
- Iterative development cycles and testing procedures
- Debugging strategies and performance optimization
Project Management Protocols
- Strategic planning and execution of VR/AR initiatives
- Collaborative workflows and team role definitions
- Budget formulation and resource distribution
VR Training Simulation Modules
- Building a VR training environment for industrial operations
- Replicating real-world scenarios and emergency responses
AR Maintenance Applications
- Developing an AR application for equipment maintenance and troubleshooting
- Incorporating real-time data streams and interactive guides
Process Monitoring via VR/AR
- Designing a VR/AR interface for real-time process monitoring
- Visualizing automation data in virtual/augmented environments
Emerging VR/AR Technologies
- Hardware and software advancements
- Prospective applications in industrial automation
AI and Machine Learning in VR/AR
- Enhancing VR/AR experiences through artificial intelligence
- Predictive maintenance and intelligent automation processes
Ethical and Safety Frameworks
- Ensuring safety standards in VR/AR deployments
- Addressing ethical considerations and data privacy
Summary and Subsequent Actions
Requirements
- Foundational knowledge of automation and control systems
- Proficiency with industrial processes and technologies
Intended Audience
- Automation engineers
- Industrial engineers
- Systems integrators
- Robotics engineers