3D Floorplan Conversion Specialist

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November 20

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Future Works

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Artificial Intelligence • Enterprise • SaaS

Future Works is a company that specializes in providing digital transformation solutions for industries looking to enhance their business operations using AI-driven technology and custom software. They focus on a range of sectors including real estate, aerospace, energy and climate, delivering innovative solutions that aim to modernize systems, streamline operations, and improve market positions. Future Works offers next-generation digital transformation, innovation and R&D services, and strategic branding. They pride themselves on their proprietary expertise and a strong blend of technology and design. Their services empower companies to succeed in a rapidly evolving technological landscape.

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• Architect and build a robust, automated pipeline that converts 2D floor plan images into 3D models. • Create an automated script or application that ingests 2D floor plan images (e.g., JPG, PNG, PDF). • Implement computer vision algorithms for pre-processing tasks, including noise reduction, perspective correction, and scaling. • Utilize vectorization techniques to trace raster images, identifying and converting walls, doors, and windows into geometric primitives. • Develop logic to extrude 2D vector data into 3D wall geometry. • Ensure generated 3D models are clean, manifold, and adhere to 3D best practices. • Automate the process of creating openings for doors and windows in the 3D mesh. • Translate cutting-edge research in 2D-to-3D conversion, computer vision, and generative AI into practical, production-ready code. • Continuously improve the pipeline's accuracy and resilience to handle variations in the quality and style of input floor plans.

🎯 Requirements

• Expert-level Python scripting (or equivalent), with a strong portfolio of automation projects. • Strong background in Computer Vision for tasks including edge detection, contour analysis, and image segmentation. • Solid understanding of computational geometry, 3D mesh topology, and data structures. • Demonstrated ability to translate academic research (e.g., from arXiv, SIGGRAPH) and emerging open-source models into functional, actionable code. • Experience with machine learning models for object detection or semantic segmentation in architectural drawings. • Familiarity with various 2D/3D file formats and the nuances of converting between them (e.g., SVG, DXF, FBX, GLB/glTF).

🏖️ Benefits

• Remote work