AI Use Case
Assess building damage from weather or natural disasters with drones and satellite delivered imagery
Assess building damage from weather or natural disasters with drones and satellite delivered imagery. Especially useful for reinsurance markets in the aftermath of major events.
Function
Benefits
Operational Support - Cost forecasting,Operational Support - Situational awareness,Revenue - Improve trading decisions (eg market demand estimates)
Case Studies
"TensorFlight~TensorFlight automates property inspection for underwriting, reinsurance and risk assessment with deep machine vision analysis of aerial imagery",TensorFlight~TensorFlight assists with commercial property insurance evaluation using computer vision to investigate building properties,US Federal Emergency Management Agency~US FEMA estimates building damage caused by volcano eruptions using satellite imagery and convolutional neural networks,"""University of California, Berkeley ""~Researchers from various universities and labs enhance flood data collection with natural language processing and machine vision",Facebook~Facebook and CrowdAI researchers develop a machine learning method to identify geographic areas heavily affected by natural disasters,National Grid~National Grid is testing machine learning to automate assessment of electrical grid infrastructure using drones,Build Change~Build Change assesses quake-hit buildings safety and suggest cost-effective way to repair them using AI,KTH Royal Institute of Technology~Scientists at KTH Royal Institute of Technology are monitor wildfires in almost real time using machine learning,Columbia University~Scientists at Columbia University track surviving tree species during forest hurricanes hurricanes in aerial photographs using machine learning
Potential Vendors
Oak Ridge National Laboratory,CrowdAI,Keen Ai,DJI
Industry
Financial Services
Insurance
Data Sets
Images,Video
AI Technologies
Machine Learning (ML),Product - Data Capture - Plane and Satellite Imagery,Product - Data Capture - Drones Remote Sensing,ML Task - Prediction - Annotation,ML Task - Prediction - Binary Classification,Algorithm - Actor-Critic,Product Type - Vision - Image classification