Automated Analysis of Disaster Damage
By Nadeem Mohammad, posted Oct 28 2016 at 09:43AM

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