Spatial computing maps a room and places digital objects in that geometry so software can sit on real surfaces.
It blends sensors, computer vision, graphics, and real-time processing to map the geometry of an environment and overlay data onto that map. Apple Vision Pro is the most prominent recent example, blending virtual interfaces with the user's physical surroundings.
In retail, smartphones scan store aisles to show product reviews and stock levels. In construction, depth-sensor helmets project wiring diagrams onto walls.
In education, any surface can become an interactive display for 3D molecular models or historical artifacts. The technology stack includes SLAM (Simultaneous Localization and Mapping) for environment understanding, LiDAR for depth sensing, and GPU-accelerated rendering for real-time graphics.
As these components get cheaper and smaller, spatial computing will move from specialized headsets into everyday glasses and eventually contact lenses. Apple uses "spatial computing" for Vision Pro: apps sit in the room, not on a 2D screen. Microsoft HoloLens used the same idea earlier.
Spatial Computing
Blending digital content with the physical world in 3D space.