Vision
Make adaptive reuse the default - by turning existing buildings into actionable, shareable data fast. ReUseX helps teams quickly map existing buildings using low-cost, mobile scanning, then automatically segment and structure the building into usable 3D data. This creates a solid basis for early design decisions, documentation, and sustainability analysis - reducing time, cost, and risk in reuse projects and enabling more circular outcomes.
Journey
ConTech Lab Pioneer Project: AI for resource mapping
ReUseX was highlighted as the foundation for ConTech Lab’s pioneer project “AI til ressourcekortlægning,” which explores how mobile scanning, point-cloud generation, and AI-based clustering/segmentation can streamline environmental and resource mapping in existing buildings. The initiative builds on ReUseX’s scanning and analysis backend, aiming to define user needs, develop a practical digital prototype, and improve data quality and scalability across the workflow.
PhD defense: “3D Mapping of Vacant Buildings for Reuse”
Povl Filip Sonne-Frederiksen defended his PhD dissertation, “3D Mapping of Vacant Buildings for Reuse.” The external examiners were Associate Professor Robert Sablatnig (TU Wien) and Associate Professor Pieter Pauwels (Eindhoven University of Technology), with Professor Lotte Marianne Bjerregaard Jensen (Aarhus School of Architecture) as examiner."
Industriens Fonds AI-pris finalist
ReUseX was nominated for Industriens Fonds AI-pris 2024, selected as one of three finalists, and awarded the runner-up position.
DLUP II: vision-based material mapping for municipal buildings
DLUP II ran from February to November 2024, bringing together the Alexandra Institute, LINK Arkitektur, Upcycling Forum, Trifork, and municipal partners (Aarhus and Roskilde). The project developed and tested a computer-vision pipeline for 3D scanning and mapping building materials—supporting early screening of public buildings for transformation and upcycling. Building on the earlier DLUP proof-of-concept, the work focused on improving algorithm robustness, defining municipal use cases, exploring annotation workflows and data formats, assessing integration with municipal IT systems, and evaluating practical value and potential CO₂ benefits through real-world pilots.
DLUP I: DigitalLead proof-of-concept for upcycling workflows
DLUP I launched in early 2023 as a DigitalLead innovation project with the Alexandra Institute, LINK Arkitektur, Upcycling Forum, and Trifork. The team mapped existing upcycling workflows, identified the highest-impact municipal/industry use cases, and built a proof-of-concept combining new digital technologies (including computer vision and 3D capture) to support identification, measurement, search, and documentation of reusable building materials—validated through field testing and public dissemination.
Industrial PhD approved and project kickoff
Innovation Fund Denmark approved the Industrial PhD application, enabling the project to officially start. The research collaboration was launched with LINK Arkitektur (host company), Aarhus School of Architecture (host university), Multiconsult, the Alexandra Institute, and Industrial PhD candidate Povl Filip Sonne-Frederiksen.