Lilly Tech Systems
AI + AR/VR
Explore the intersection of artificial intelligence with augmented and virtual reality. Learn how spatial AI, object recognition, and scene understanding create immersive intelligent experiences.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
Overview of AI in AR/VR, key concepts, and the convergence of spatial computing and intelligence.
2. Spatial AI
SLAM, depth estimation, 3D mapping, and spatial anchoring for AR/VR environments.
3. Object Recognition
Real-time object detection, segmentation, and tracking in augmented reality scenes.
4. Scene Understanding
Semantic scene parsing, plane detection, mesh reconstruction, and environmental awareness.
5. Applications
Real-world AI+AR/VR use cases in gaming, healthcare, education, and industrial training.
6. Best Practices
Performance optimization, latency management, user experience, and deployment strategies.
What You'll Learn
By the end of this course, you'll be able to:
Understand Spatial AI
Grasp how AI enables spatial mapping, localization, and 3D understanding in AR/VR environments.
Implement Object Recognition
Deploy real-time object detection and tracking pipelines for immersive experiences.
Build Scene Understanding
Create systems that understand and interact with physical environments intelligently.
Design AI-Powered XR Apps
Apply best practices for building performant, user-friendly AI-driven AR/VR applications.