AI Floor Plan Analysis
We build custom AI systems that analyze floor plan drawings, detect physical objects, extract room geometry, and output structured data for enterprise workflows.
Key Extraction Targets
The Problem
Floor plans are complex, un-indexed visual documents.
Manual floor plan analysis is slow, error-prone, and doesn't scale. Generic vision models miss domain conventions, rotated schedule text, and spatial relationships between rooms and doors.
System Workflow
How the AI System Works
Vector & Raster Ingestion
PDFs, CAD exports, and high-res scans are pre-processed, deskewed, and segmented.
Multi-Task Detection & OCR
Parallel neural networks detect architectural elements while specialized OCR reads rotated text and tags.
Spatial Graph Construction
Detections and text tags are joined into a spatial topology graph connecting rooms, openings, and schedules.
Capabilities
Engineered Features
Architecture
Technical Stack
Relevant Case Study
Wayfinding & Indoor Navigation Platform
Extracted 4,500+ room polygons and door spatial connections from architectural PDFs into a real-time navigation API.
Read Case Study