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Duration 21 hours
Course Outline
Introduction to AI in AR/VR
- Survey of AI-driven AR/VR technologies.
- AI use cases in industrial automation.
- Current trends in the convergence of AR/VR and AI.
AR/VR in Manufacturing
- Leveraging AR for real-time data visualization on the factory floor.
- Utilizing VR for equipment simulation and staff training.
- AI-powered predictive maintenance via AR/VR.
AI in AR/VR Maintenance Scenarios
- Automated inspection and diagnostic processes using AR.
- Improving remote maintenance capabilities with AI-driven AR systems.
- Refining predictive maintenance through AI and AR/VR instrumentation.
Creating AI-Augmented AR/VR Applications
- AR/VR development ecosystems and utilities (Unity, Unreal Engine).
- Embedding AI into AR/VR surroundings.
- Constructing bespoke AI-driven industrial solutions.
Worker Training and Safety via AR/VR
- Utilizing AR for live guidance and issue resolution.
- Simulating intricate scenarios for training through VR.
- AI-based hazard identification in AR/VR.
Sophisticated AI Models for Industrial AR/VR
- Utilizing deep learning for object detection and tracking within AR/VR.
- Natural Language Processing (NLP) in AR/VR user interfaces.
- Boosting AR/VR with AI-based anomaly recognition.
Future Directions and Innovations
- Emerging technologies in AI-driven AR/VR.
- Obstacles and prospects in industrial AR/VR.
- Upcoming advancements in AI, AR, and VR for industrial uses.
Recap and Subsequent Steps
Requirements
- Fundamental knowledge of AI and machine learning principles.
- Proficiency with AR/VR technologies.
- Professional background in industrial automation or adjacent domains.
Target Audience
- Industrial automation engineers.
- AI specialists and professionals.
- Manufacturing experts.
