Defect Detection Accuracy
Than Traditional Means
Spatial Accuracy
Facade AI™ uses computer vision and machine learning to detect visible structural damage such as cracks, spalls, surface delamination, and material degradation across exterior building surfaces. As soon as high-resolution imagery or LiDAR is uploaded, the AI scans every surface to identify anomalies and tag them directly on the model.
Whether you’re assessing a single structure or conducting large-scale inspections across dozens of assets, Facade AI™ helps teams instantly identify issues that would normally take hours of field time to find and document.
Facade damage develops over time. Facade AI™ enables you to compare data across different timeframes, highlighting how cracks have spread or how surface degradation has evolved since the last scan.
With FusionMap’s built-in visual change detection tools, you can analyze differences between two datasets side by side, therefore, turning subjective field reports into clear, visual evidence. This gives engineers and planners the information they need to prioritize repairs, spot patterns, and allocate resources more effectively.
Every defect detected by Facade AI™ is tied to a spatially accurate 3D model or point cloud, allowing your team to explore the site virtually as if they were standing in front of the structure. You can zoom, rotate, measure, and annotate directly on the surface to better understand scale, severity, and context.
By combining 3D visualization with real-world geolocation, teams can communicate clearly between the field and office, ultimately reducing misinterpretation and ensuring the right action is taken, faster. Whether you're reporting to stakeholders or coordinating with contractors, 3D clarity means less time explaining and more time solving.
Whether you’re curious about FusionMap, want to schedule a demo, or discuss how it could support your workflows, we’re here to help.
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FusionMap transforms complex data into meaningful maps that make insights easy to explore and share.