Description
Assess building damage from weather or natural disasters with drones and satellite delivered imagery
Technology & data
*** check categry and function
Key considerations
Upside2
Linked Case Studies
Case Study
US Federal Emergency Management Agency
US FEMA estimates building damage caused by volcano eruptions using satellite imagery and convolutional neural networks
Case Study
TensorFlight
TensorFlight assists with commercial property insurance evaluation using computer vision to investigate building properties
Case Study
KTH Royal Institute of Technology
Scientists at KTH Royal Institute of Technology are monitor wildfires in almost real time using machine learning
Case Study
National Grid
National Grid is testing machine learning to automate assessment of electrical grid infrastructure using drones
Case Study
TensorFlight
TensorFlight automates property inspection for underwriting, reinsurance and risk assessment with deep machine vision analysis of aerial imagery
Case Study
Build Change
Build Change assesses quake-hit buildings safety and suggest cost-effective way to repair them using AI
Case Study
Facebook
Facebook and CrowdAI researchers develop a machine learning method to identify geographic areas heavily affected by natural disasters
Case Study
Columbia University
Scientists at Columbia University track surviving tree species during forest hurricanes hurricanes in aerial photographs using machine learning
Case Study
"University of California, Berkeley "
Researchers from various universities and labs enhance flood data collection with natural language processing and machine vision
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Editor: sdg