Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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
Testimonials (1)
practical examples and troubleshooting of real problems (during creating real projects, games, etc.), I mean good practice and how the real project work looks like