system
The system uses Earth observation data and AI to visualize disaster areas and provide quick, accurate countermeasures, addressing the challenge of effectively responding to large-scale disasters.
JP2026107082APending Publication Date: 2026-06-30SOFTBANK GROUP CORP
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- SOFTBANK GROUP CORP
- Filing Date
- 2024-12-18
- Publication Date
- 2026-06-30
AI Technical Summary
Technical Problem
Existing systems struggle to quickly and accurately grasp the situation of disaster areas during large-scale disasters and provide appropriate countermeasures.
Method used
A system utilizing Earth observation data, AI analysis, 3D mapping, and natural language interfaces to visualize disaster areas, generate incident reports, and propose countermeasures based on past disaster data.
Benefits of technology
Enables rapid and accurate visualization and response to disaster situations, providing optimal evacuation routes and support to isolated victims, minimizing secondary damage.
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Smart Images
Figure 2026107082000001_ABST
Abstract
The system according to this embodiment aims to visualize the situation in disaster-stricken areas using Earth observation data and to provide prompt and appropriate countermeasures. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a visualization unit, an operation unit, a generation unit, and a proposal unit. The collection unit collects Earth observation data. The analysis unit analyzes the data collected by the collection unit. The visualization unit visualizes the situation in the disaster area using 3D mapping based on the data analyzed by the analysis unit. The operation unit operates using a natural language interface based on the information visualized by the visualization unit. The generation unit automatically generates an incident report based on the information operated by the operation unit. The proposal unit proposes countermeasures learned from past disaster data based on the report generated by the generation unit.
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