spatial computing

Spatial computing broadly characterizes the processes and tools used to capture, process and interact with 3D data. Components of spatial computing can include IoT, digital twins, ambient computing, augmented reality, virtual reality, AI and physical controls.

The term spatial computing was coined Spatial computing in action could be as simple as controlling the lights when you walk into a room or as complex as using a network of 3D cameras to model a factory process. Spatial computing concepts also play a role in orchestrating autonomous computing applications in warehouse automation, self-driving cars and supply chain automation.

Users interact with spatial computing applications through screens embedded on physical devices, VR headsets that mirror the physical world, or mixed reality devices that overlay data onto a view of the physical world.

Spatial computing also connects the dots between virtual worlds in the metaverse and so-called digital twins, which represent physical space, objects, processes or people, thus providing a bridge between the digital and the real world, said Brannin McBee, founder and CSO of CoreWeave, a cloud GPU provider.