Articles by Naeem Maqsood (6)
Interactive Floor Plan Analysis Tutorial
Toggle each AI layer (preprocessing, wall segmentation, door and window detection, OCR, and the room topology graph) to see how a flat drawing becomes structured spatial data.
Automating Takeoffs for Home Builders with AI: From Floor Plan to Spreadsheet in Seconds
Residential construction estimating starts with a manual takeoff: extracting dozens of parameters from floor plans and schedules. AI cuts this to seconds with over 98% accuracy. Here's how AxcelerateAI turns drawings into structured, audit-ready data for home builders.
Automated Fire-Rated Door Detection & Compliance: How AI Reads, Audits, and Certifies Egress Doors on Floor Plans
Automatically detect and verify fire-rated doors in your floor plans. AI scans architectural drawings, reads door tags, matches schedules, and checks against NFPA 80/IBC codes for full compliance — eliminating hours of manual audit work.
What is the Best AI Model for Floor Plan Analysis?
Wall segmentation, door detection, OCR text matching—no single model does it all. We review the best AI models for architectural drawings, comparing U-Net, YOLO, and Vision Transformers.
Why GPT-4V and Gemini Hallucinate on Floor Plans (And What to Use Instead)
We put GPT-4o and Gemini 1.5/2.0 to the test on high-resolution construction blueprints. Here is why vision-language models struggle with spatial layouts and how a hybrid AI pipeline solves it.
Read Between the Lines: Solving Rotated Text & OCR in Blueprints
Standard OCR models fail when text runs vertically or rotates to follow wall lines. Here is how Intelligent OCR (I-OCR) reads blueprints with 99.9% accuracy.