AI forecasting predicts river flooding up to five days in advance, providing earlier warnings in underserved regions across more than 100 countries.

AI monitors driver fatigue, distraction and impairment in more than four million vehicles, warning drivers before accidents occur.

Autonomous AI drones assist first responders and search-and-rescue teams, including documented cases where missing people were located within minutes.

Fujitsu developed AI-based disaster-mitigation technology that predicts river flooding from limited historical data, giving at-risk communities more lead time to evacuate.

Hitachi's Social Innovation business publishes AI case studies addressing disaster conditions — image analysis of video feeds to assess damage, and deep-learning prediction of river water quality after rainfall to optimize treatment.

Busan activated an AI-based “Summer Storm Response System” to detect and respond to severe weather, part of a broader rollout of 38 AI-driven smart-city projects.

Lenovo's “AI for Good” StoryHub documents specific programs including AI support for American Red Cross disaster relief operations and AI-based flood-prediction and recovery mapping.

Miovision publishes named case studies (“The Road to Zero,” “From Near-Miss to Vision Zero”) documenting how its AI-based traffic-data platform helps cities identify dangerous intersections and act before crashes happen.