AI is speeding up reality-capture workflows—from feature extraction to design-ready deliverables. This Cadalyst SmartCast explains the technical foundation — data, AI methods, and GPU-accelerated workstations.
AEC teams are capturing more site data than ever: drones, LiDAR, and photogrammetry now generate billions of points per project. Turning that raw input into usable, project-ready datasets requires the right workflows and compute.
In this Cadalyst SmartCast (created in collaboration with Lenovo and NVIDIA), we break down how AI and high-performance workstations help teams process scans faster and with greater consistency — so modeling and design can start sooner.
What we cover:
• The new reality of capture: drones, LiDAR, photogrammetry → massive point clouds
• The bottleneck: alignment, denoise, classification, and feature extraction at scale
• AI in the loop: object recognition, surface segmentation, and 2.5D/3D scene creation (incl. Gaussian splats)
• Hardware foundations: Lenovo ThinkStation P-series with NVIDIA RTX™ professional GPUs for large datasets and AI workloads
• Workflow outcomes: faster handoff from field to office; smoother, more reliable processing.
This video is based on Cadalyst’s editorial series created in collaboration with Lenovo and NVIDIA.
↓↓↓Download the Whole Series ↓↓↓
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This article was sponsored by Lenovo and NVIDIA.
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