How it Works

ReUseX turns raw LiDAR scans of existing buildings into reuse-ready models and data packages.

Step 1

On-site registration

Scan + 360° images

Capture LiDAR scans of the building and 360° imagery for visual context. The imagery supports interpretation, review, and traceability during analysis.

Initial manual classification

A light first-pass classification is added (quick tagging of key areas/components). This improves consistency and gives the AI a structured starting point.

Upload of scan data

Scan + imagery are uploaded to the ReUseX workflow (or transferred via an agreed secure method). The dataset is checked for completeness before processing.

Output from this section: a verified input dataset ready for computation.

Step 2

Compute

Point cloud is generated

ReUseX processes the scan data into a unified point cloud aligned to a consistent coordinate system, ready for segmentation and modelling.

AI segmentation + simple 3D model

ReUseX applies AI to segment the point cloud into building components and generates a simplified 3D model designed for early-phase decisions (screening, quantities, collaboration).

Output from this section: segmented point cloud + simplified 3D model + structured component data

Step 3

Platform

Data accessible on the platform

Users access the 3D model, segmented components, inventories, and documentation in one shared dashboard—so municipalities, owners, and consultants work from the same dataset.

Report generated

A report package is produced based on the model and inventories, documenting inputs, outputs, and key findings to support transformation and reuse decisions.

Collaborative decision-making

Stakeholders can share insights, annotate components, and collaborate on reuse strategies—ensuring all parties align on material recovery priorities and next steps.

Output from this section: platform access + exports + report package for stakeholders.