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Spatial Computing
Spatial computing is a technology that combines the physical and digital worlds. It uses devices like virtual reality (VR) and augmented reality (AR) headsets to create interactive 3D environments. 

How it works

  • Computer vision: Analyzes visual data to understand the layout of physical spaces
  • Generative AI: Transforms 2D images into 3D animations
  • Spatial sound: Enhances the immersion of the experience

Use cases 

  • Training: Simulates high-risk tasks to enhance muscle memory and neural connections
  • Planning: Visualizes impacts and explores scenarios to minimize danger and costs
  • Operations: Provides real-time data visualization and situational awareness
  • Performance: Collects, integrates, and analyzes human performance data

Examples of spatial computing devices Microsoft's HoloLens and Apple's Vision Pro headset. Benefits of spatial computing

  • Reduces risks and costs
  • Provides superior results by enabling users to make faster, better informed decisions
  • Enhances field team effectiveness
  • Elevates human capabilities