FloorSense is a personal project exploring the potential of computer vision in architecture. It transforms static floor plan images into interactive, queryable data. Built to experiment with edge detection and object recognition, it identifies perimeters, openings, and furnishings to create a digital model of any blueprint.
Note
Powered by Next.js 16 & React 19
- Instant Recognition: Drag & drop blueprints to extract layout data in seconds.
- Interactive Viewer: Pan, zoom, and inspect layers in a custom CAD-style interface.
- Smart Analytics: Automated item counting.
- Secure Processing: Client-side heavy lifting with secure API integration.
Deploy your own instance of FloorSense to the edge with a single click.
Environment Variables Required:
ROBOFLOW_API_KEY: Your Roboflow inference API key.
- Framework: Next.js 16 (App Router)
- Language: TypeScript
- Styling: Tailwind CSS 4
- State: React 19 Hooks
- Vision: Roboflow Inference API
Built with love by @spitfiresb