Course Outline

Introduction to VR and AR

  • Definitions and differences between VR and AR
  • Historical development and evolution
  • Current trends and future outlook
  • Overview of use cases in different sectors
  • Benefits and challenges of VR/AR adoption

Hardware and Software for VR/AR

  • VR headsets, AR glasses, and other hardware
  • VR/AR development platforms and software tools
  • Comparison of popular VR/AR systems

VR/AR Applications in Automation

  • Training and simulation
  • Maintenance and troubleshooting
  • Process monitoring and control
  • Design and prototyping

VR Development Tools

  • Unity and Unreal Engine
  • VR SDKs and APIs
  • 3D modeling and simulation software

AR Development Tools

  • ARKit, ARCore, and Vuforia
  • Mobile AR development platforms
  • Marker-based and markerless AR

Integration with Automation Systems

  • Connecting VR/AR with PLCs, SCADA, and DCS
  • Data visualization and interaction

User Experience and Interface Design

  • Principles of VR/AR UX/UI design
  • Ergonomics and user comfort
  • Interaction models and input devices

Prototyping and Development

  • Creating VR/AR prototypes
  • Iterative development and testing
  • Debugging and optimization techniques

Project Management

  • Planning and managing VR/AR projects
  • Collaboration and team roles
  • Budgeting and resource allocation

VR Training Simulator

  • Developing a VR training environment for industrial operations
  • Simulating real-world scenarios and emergencies

AR Maintenance Application

  • Creating an AR app for equipment maintenance and troubleshooting
  • Integrating real-time data and interactive guides

Process Monitoring with VR/AR

  • Designing a VR/AR interface for real-time process monitoring
  • Visualizing data from automation systems in a virtual/augmented environment

Next-Generation VR/AR Technologies

  • Advances in hardware and software
  • Potential future applications in automation

AI and Machine Learning in VR/AR

  • Enhancing VR/AR experiences with AI
  • Predictive maintenance and intelligent automation

Ethical and Safety Considerations

  • Ensuring safety in VR/AR applications
  • Addressing ethical concerns and data privacy

Summary and Next Steps

Requirements

  • Basic knowledge of automation and control systems
  • Familiarity with industrial processes and technologies

Audience

  • Automation engineers
  • Industrial engineers
  • Systems integrators
  • Robotics engineers
 28 Hours

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