Vaibhaw Krishna

AI Systems Engineer & Builder

Spatial

August 1, 2026

◈ Spatial

Spatial is a multi-sensor, multi-camera, multi-projector platform for deterministic spatial computing — designed to run on commodity hardware first (an RGB webcam and a projector) with a contract system that scales up to RGB-D cameras, stereo vision, LiDAR, hand tracking, and projector fleets.


🔍 Overview

Architecture

Sensors → Perception → SpatialWorld → Interaction → Projection
  • Core: world modeling, geometry, perception, interaction and event handling, exposed through a typed SpatialWorld API with capability-based observations and a replay mechanism.
  • Devices: replaceable sensor and projector adapters, so new hardware plugs in without touching the core.
  • Providers: external service integrations.
  • AI: semantic tools and capabilities layered on top of the world model.
  • Apps: runtime and UI entry points — a FastAPI/WebSocket backend paired with a React/Vite frontend.

Key Features

  • Sensor-agnostic core: the same world model runs whether the input is a webcam or a LiDAR array.
  • Deterministic runtime: commissioning procedures and a replay mechanism make physical-hardware behavior reproducible.
  • Commodity-first: starts working with hardware most people already have.