Aerial AI Roof Damage Detection: NavGen Case Study
How a U-Net + CNN pipeline detects hail, wind and storm roof damage from aerial imagery in under 2 seconds per property: AWS architecture, costs and results.
Long-form AI case studies: the problem, the approach, the architecture and what we learned shipping production AI and computer vision systems.
Long-form case studies that walk through how production AI systems were designed and delivered: the starting problem, the constraints, the architecture we chose, and what we would do differently.
They complement the shorter project pages in our case studies section with more technical depth, including inference cost and latency work and the computer vision behind NavGen, Scalexa's own roof-damage detection product.
Book a free 30-minute call with us to identify quick wins and show you what's possible.