Originally published at: Automated Analysis of Disaster Damage | NVIDIA Technical Blog
Researchers from Purdue University are using deep learning to dramatically reduce the time it takes for engineers to assess damage to buildings after disasters. Engineers need to quickly document the damage to buildings, bridges and pipelines after a disaster. “These teams of engineers take a lot of photos, perhaps 10,000 images per day, and these…