A mono-camera spatial modeling tool that segments personal spaces into functional zones, creating a lightweight digital twin for event definition and simulation.

OVERVIEW
Space Builder is the first stage of the Spatial Event AI Factory pipeline. Using a single camera feed, it analyzes your personal space and segments it into meaningful functional zones -- entrance, kitchen, laundry area, hallway, and more. This creates a lightweight digital twin (DT-lite) that serves as the foundation for event scenario generation. Unlike full 3D scanning solutions, Space Builder works with minimal hardware while still capturing the spatial structure needed for simulation.
TECHNOLOGY
Single camera-based spatial analysis that extracts room structure, depth estimation, and zone boundaries without specialized hardware.
AI-powered segmentation that identifies functional areas (entrance, kitchen, laundry) and defines regions of interest for event monitoring.
Lightweight digital twin generator that creates a simplified but accurate spatial model suitable for simulation-based data generation.
Camera intrinsic/extrinsic calibration and spatial alignment verification ensuring the digital twin matches the real environment.
CAPABILITIES
Create accurate spatial models from a single camera feed without LiDAR, depth sensors, or multi-camera rigs.
Automatically identify and label zones like entrance, kitchen, and laundry area for targeted event monitoring.
Define custom regions of interest within each zone where specific events are expected to occur.
Export the lightweight digital twin for use in Scenario Generator and downstream pipeline stages.
Model multiple rooms or spaces within a single environment for comprehensive event coverage.
Generate quality reports on spatial model accuracy, zone coverage, and calibration confidence.
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