Estimation of Fireproof Structure Class and Construction Year for Disaster Risk Assessment
PositiveArtificial Intelligence
A new study highlights the importance of structural fireproof classification for disaster risk assessment and insurance pricing in Japan. With many buildings lacking updated metadata, especially in the second-hand housing market, researchers have developed a multi-task learning model that can predict crucial attributes like construction year and structure type from facade images. This innovation not only enhances safety measures but also aids in more accurate insurance evaluations, making it a significant advancement in disaster preparedness.
— Curated by the World Pulse Now AI Editorial System



