Teaching machines to
read a building.
Our vision research is learning to recognise the fabric and materials of Australian housing — facades, roofs, windows, construction systems, and the materials inside them.
Housing Fabric Intelligence
Computer vision for the built fabric.
Facade Recognition
Recognising cladding types and facade composition from street-level imagery.
Roof Recognition
Classifying roofing structures and materials to infer heat retention metrics.
Window Openings
Analysing solar gain possibilities by identifying glazed ratios on facades.
Building Style
Recognising architectural style and era — from post-war brick to contemporary infill.
Construction System
Identifying structural configurations (frames, pre-cast, concrete slabs).
Defect Recognition
Our earliest-stage frontier: classifying structural anomalies and cracks automatically.
Residential Material Intelligence
Understanding the materials inside housing.
Material Segmentation
Mapping material distributions (concrete vs steel vs timber) at property scale.
Stock Estimation
Quantifying total materials locked inside suburban neighbourhoods for circular reuse.
Flow Forecasting
Predicting demand patterns and supply chain shifts in regional material stocks.
"Every building is a material bank. We're learning to read the balance sheet."
Help shape vision and material research.
Join our joint testing streams with academic departments and builders to test these computer vision prototypes in real-world scenarios.