Asia Research October 1, 2020 Using convolutional neural network (CNN) a team of researchers in Japan trained an AI using post-disaster aerial images to accurately determine how battered the buildings are. It works by classifying buildings as collapsed, non-collapsed, or blue tarp-covered based on the seven damage scales (D0-D6) used in the 2016 Kumamoto earthquakes. Based on the photos used to train the AI, they found that the blue tarp-covered category predominantly represented D2-D3 levels of devastation. When the system was tested on post-disaster aerial images of the September 2019 typhoon that hit Chiba, results showed that damage levels of […]
Tag Archives: Disaster management
VitalTag to give vital information in mass casualty incidents
Phys.org November 27, 2018 VitalTag, developed by researchers at Pacific Northwest National Laboratory is a low-cost suite of sensors that detects, monitors and wirelessly transmits vital signs, including blood pressure, heart rate, respiration rate and other metrics such as blood oxygen levels, shock index and data from a single-lead electrocardiogram. It adheres to a patient’s sternum and connects seamlessly via Wi-Fi to securely transmit patient data to a mobile device or laptop in real time. This comprehensive view could enable emergency medical technicians and paramedics to tend to more patients faster, armed with more detail than ever before. The VitalTag […]