Door Detection
Automating door detection from architectural floor plans using custom computer vision and spatial reasoning.
1. The Problem
Manually counting door arcs and verifying door types across multi-sheet floor plans takes hours and introduces human counting errors into material takeoffs.
2. Input Drawing
Architectural PDF floor plan drawing at 1/4 inch scale containing single-swing door arcs, sliding door lines, double doors, and door tags.
3. AI Pipeline Process
Custom YOLOv8 vision model identifies door bounding boxes, swing direction angles, and classifies door mechanisms (hinged, sliding, pocket, double).
4. Annotated Visual Output
Visual SVG overlay highlighting detected door arcs with color-coded bounding boxes and confidence scores (e.g. D-01: 99.2% confidence).
5. Structured Data Export
Structured JSON array containing door IDs, coordinates, swing orientation, room locations, and bounding box geometry.
6. Business Impact
Reduces door counting time by 90% while ensuring 99%+ count accuracy for material suppliers, hardware specifiers, and trade estimators.
Frequently Asked Questions
Can the AI distinguish between single hinged doors and sliding pocket doors?
Yes. Our vision models are trained specifically to classify distinct architectural arc and line symbol conventions for hinged, pocket, bi-fold, and sliding doors.