Pioneer Project

AI for Resource Mapping

The construction industry needs to make better use of the existing building stock. This requires an overview of what buildings are actually made of and the condition of the materials they contain.

The pioneer project explores the following question: Can mobile scanning technology, point cloud generation, clustering, and segmentation (using AI) be used to map materials and their condition, and thereby create the data foundation needed for more efficient resource utilization?

Project period: October 2025 – June 2026

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Digitalisation as a Key Enabler of the Green Transition

The construction industry is facing a necessary transition in which transformation and renovation should be prioritised over new construction. This requires a much stronger focus on preserving and reusing building components and materials rather than purchasing new ones.

To enable this transition, it is essential to have structured data and accessible insights into the existing building stock. Such data can provide answers to questions such as: What materials does the building contain? Where are these materials located? What are their dimensions? And what condition are they in? Equally important is ensuring that this information is available early in decision-making processes.

With access to this knowledge, stakeholders can make informed decisions, unlock the potential for material reuse, and improve resource efficiency across the built environment.

Pioneer Project

AI for Resource Mapping

In this pioneer project, ConTech Lab, together with partners including LINK Arkitektur, is exploring how mobile scanning technology, point cloud generation, clustering, and AI-based segmentation of building components and materials can support a more efficient and data-driven approach to resource mapping. The project's objective is to identify the specific needs of environmental and resource mapping specialists as well as project coordinators, and to explore how these needs can be supported through a digital tool that streamlines workflows, reduces errors, and enables greater scalability.

A digital tool for resource mapping has the potential to free up valuable time for specialists, who currently experience significant time constraints and often become bottlenecks in the process. This would enable the industry to move away from workflows that are either 1) highly manual and therefore time-consuming, or 2) technology-intensive and heavily dependent on specialist expertise. The ambition is to transition towards a more automated and digital process that supports the principles of the circular economy and contributes to a more sustainable built environment.

Mandatory Requirements for Selective Demolition Increase Demand for Digital Solutions

As of 1 July 2025, selective demolition has become a legal requirement for all buildings with a demolition area of 250 m² or more. The regulation requires materials to be identified, separated, and sorted to enable reuse and recycling, while hazardous substances such as asbestos, PCB, and PFAS must be handled appropriately. The purpose of the legislation is to reduce resource waste and support the transition towards a circular economy in the construction sector.

The construction industry is currently adapting to these new requirements and seeking effective ways to comply with them. This creates a need for new working methods and forms of collaboration across stakeholders, while also driving significant demand for tools that can support this transition. In particular, there is a need for mobile solutions that can quickly and intuitively provide an overview of a building’s materials and generate structured data for planning, design, and documentation purposes.

Building on Industry Experience and Existing Prototypes

The pioneer project is founded on extensive expertise in environmental and resource mapping, a deep understanding of user needs, and the development of existing prototype solutions.

It builds on LINK Arkitektur's work with ReUseX. ReUseX has established the foundation for a backend solution that enables users to scan buildings using a mobile phone and assess the reuse potential of building components and materials.

 

“ReUseX is the result of several years of dedicated work applying AI to promote sustainability and the circular economy within the construction industry.

By combining advanced technologies such as LiDAR scanning and AI-based segmentation, ReUseX makes it fast and easy to identify reusable building components within a property, optimise their reuse potential, and ultimately reduce construction waste.”

— Jan Buthke, LINK Arkitektur

VideoRaketfilm, Christian Pauli Bro

Expected Outputs of the Pioneer Project

The project consists of both a development track and a track focused on enabling industry adoption and scaling of the solution. The expected outputs of the development track are outlined below.
 

- User Needs Assessment
 

The project begins with a user needs analysis involving resource mapping professionals. The findings will form the foundation for the development of a digital tool designed to make resource mapping in existing buildings simpler, more accurate, and less time-consuming.

The working group will investigate:

  1. Technical requirements:Which functionalities and tools are needed to support efficient resource mapping in practice?
  2. Regulatory requirements: What requirements do current legislation and standards place on documentation, data structures, and traceability? 

 

- Classification of Building Components and Materials
 

To ensure consistency and interoperability across the value chain, a standardised framework for registering and categorising building components and materials is required. This enables data to be shared and used across projects, digital tools, and stakeholders. As part of the project, a classification system will be developed based on BIM 7AA, which structures building components and materials according to the seven information levels used in BIM.
 

- Digital Prototype
 

The objective of the prototype is to develop a user-friendly platform that combines mobility with efficient reporting and documentation capabilities.

The prototype will integrate several advanced technologies into a single solution, including:

  1. Backend: Supports building scanning, point cloud generation, clustering, and data segmentation.
  2. Frontend: Enables the classification of building components and the registration of metadata, including dimensions, material types, and condition assessments.
  3. Innovation element: Testing of speech-to-text functionality to facilitate rapid input of supplementary metadata during the resource mapping process.

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Visualisering: LINK Arkitektur
Workshop

AI for Resource Mapping

As part of our workshop in April, we explored how AI can support and streamline resource mapping processes in the construction industry. In the videos below, you can learn more about the potential applications of AI in resource mapping, as well as some of the challenges currently facing the industry.

The workshop brought together participants from a range of professional backgrounds and provided a forum for knowledge sharing, dialogue, and the identification of industry needs and opportunities.

Video: ConTech Lab.
Interview with: 
Dan Skovgaard Jensen, ConTech Lab and Povl-Filip Sonne-Frederiksen, LINK Arkitektur

Video: ConTech Lab.
Interview with: 
Stine Kolding Pedersen, Københavns Kommune and Jan Buthke, LINK Arkitektur

Would you like to get involved?

We are looking for companies across the construction value chain to engage in the project. This includes building owners and developers who want to help shape the future of documentation and planning, consultants working with environmental and resource mapping, and technology companies with relevant expertise that are interested in co-developing new solutions together with the industry.

If you have any questions about the project or potential collaboration opportunities, please feel free to contact Dan Skovgaard Jensen, Head of Innovation at ConTech Lab.

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Last updated: May 2026