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REI Systems will be presenting a case study on our Natural Disaster Damage Assessment Tool at Deep Learning World 2020.
The frequency of natural disasters is increasing, but the question remains, how do we better plan for the aftermath of these impending disasters? Post-disaster, it is crucial to estimate the damage quickly to support response and recovery services adequately. Current response and recovery efforts are often slowed by the need to manually review post-disaster status in-person or by individually reviewing aerial imagery. REI Systems has created a solution to this manual and time-consuming challenge. The solution can automatically and quickly detect and assess damaged buildings from satellite images with less need for human effort.