What is Spatial Computing

 Spatial Computing refers to the use of digital technology to interact with the physical world in three-dimensional (3D) space. It involves computers understanding and processing the spatial relationships between objects, environments, and users.

Key Aspects of Spatial Computing:

1. 3D Awareness: Devices can sense and interpret space—location, depth, orientation, and movement.

2. Interaction in Physical Space: It allows users to interact with digital content as if it were physically present (e.g., through gestures, eye tracking, voice, etc.).

3. Integration of Real and Virtual Worlds: Combines data from the physical environment with digital models—commonly used in Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR).

4. Sensing and Mapping: Uses sensors (like LiDAR, cameras, GPS) to create real-time maps of environments.

Examples of Spatial Computing:

• Apple Vision Pro, Microsoft HoloLens – devices that allow immersive, spatial interaction.

• Autonomous vehicles – use spatial computing to understand surroundings and navigate.

• AR apps – overlay digital content on the real world (e.g., IKEA Place, Pokémon Go).

• Industrial & medical simulations – training and planning in 3D environments.