An AI Framework for Blueprint Intelligence: From Manual Review to Real-Time Optimization

The company relied on engineers to manually analyze architectural blueprints. While the process is standard practice across the industry, it is repetitive and time-consuming, requiring skilled professionals to spend days identifying rooms, doorways, and layout constraints. The customer recognized an opportunity to automate this task and free up professionals for higher-value work while also improving accuracy and efficiency in planning.

The business needed a scalable way to convert complex blueprints into structured, actionable data, without relying on manual effort.

Brimit developed a flexible AI-based blueprint recognition framework capable of interpreting architectural plans in real time. While the initial implementation focused on room and doorway detection, the architecture supports a broad range of blueprint analysis tasks across different industries.

Key elements of the solution included:

• An ensemble of custom-trained computer vision models to detect rooms and doors
• A proprietary dataset of annotated blueprints for high-accuracy training
• A .NET-based application for managing datasets and running inference workflows
• A multi-format training pipeline (YOLO, COCO, Roboflow) for continuous optimization
• A real-time detection API integrated with the client’s planning system
• Automated workflows that convert recognition results into logistics and production forecasts

• Minutes to interpret architectural plans instead of days of manual blueprint analysis
• High-accuracy detection for critical architectural elements (doors, rooms)
• Smarter manufacturing planning to provide precise equipment placement and meet resource needs, without costly missteps
• Optimized production and on-time logistics thanks to precise resource allocation and forecast automation

An AI framework to support a broad range of business tasks

Brimit designed a modular AI framework to support a wide range of blueprint analysis scenarios.

• Electrical & HVAC component detection (for smarter facility retrofitting)
• Accessibility compliance checks (e.g., ADA door widths, corridor clearance)
• Construction progress monitoring via plan-versus-reality comparisons