Computer Vision Use Case

Window Detection

Automating window detection from architectural floor plans using custom computer vision and spatial reasoning.

1. The Problem

Estimating glazing quantities and window unit counts from architectural drawings requires painstaking manual inspection of exterior wall lines.

2. Input Drawing

Architectural floor plan PDF showing exterior wall glazing lines, window tags (W-01, W-02), and curtain wall assemblies.

INPUT FORMATS: PDF (Vector / Raster) · DWG Renders · TIFF / PNG Scans

3. AI Pipeline Process

Multi-scale object detection isolates parallel glass line vectors, wall cutouts, and window callout symbols.

Phase 01: Object Detection
Phase 02: 360° Rotated OCR
Phase 03: Spatial Graph Linking

4. Annotated Visual Output

Annotated plan render marking all window openings with green detection frames and tag overlays.

[VISUAL BOUNDING BOX OVERLAY & COLOR-CODED DETECTION CANVAS]

5. Structured Data Export

Structured JSON output listing window tags, wall locations, unit width/height approximations, and schedule line items.

{ "use_case": "Window Detection", "status": "success", "confidence_score": 0.984, "extracted_count": 42, "export_formats": ["JSON", "REST_API", "CSV", "EXCEL"] }

6. Business Impact

Accelerates glazing takeoffs by 80% and eliminates missed window counts in bidding packages.

Frequently Asked Questions

Does the AI detect storefront and curtain wall windows?

Yes. We detect both discrete window units and continuous curtain wall assemblies.

Request Window Detection Assessment

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