Automated Floorplan Analysis for Eurocode-Based Live Load Classification
We developed an advanced computer vision system that automatically analyzes scanned architectural floorplans to identify room types and classify structural live loads according to Eurocode standards. The system achieves high accuracy in room classification and automated load determination.
Highlights
- Automated OCR and semantic segmentation of architectural drawings
- Intelligent room type classification using deep learning
- Automated Eurocode live load assignment based on room function
- Advanced image preprocessing for scanned floorplan optimization
Facts
- Location: Munich, Germany
- Year: 2025
- Use Case: Structural engineering and building code compliance
This project develops a comprehensive system for automated analysis of architectural floorplans, combining computer vision and structural engineering expertise. The system processes scanned drawings through advanced OCR and semantic segmentation to identify individual rooms, corridors, and spaces. Using deep learning models trained on architectural standards, it automatically classifies room types (residential, office, storage, etc.) and assigns appropriate live loads according to Eurocode EN 1991-1-1 specifications. The solution streamlines the structural design process by eliminating manual load calculation steps, reducing human error, and ensuring consistent compliance with European building standards.