system

The system addresses the challenge of predicting typhoon damage and proposing suitable insurance products by using AI to analyze satellite and weather data, enabling accurate risk assessment and insurance recommendations.

JP2026107450APending 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

The risk of damage caused by typhoons is not accurately predicted, and appropriate insurance products are not sufficiently proposed, leaving room for improvement.

Method used

A system comprising a data collection unit, an analysis unit, and a proposal unit that collects satellite images and weather data, analyzes the typhoon's path, intensity, and speed, and calculates the risk of damage to propose the most suitable insurance product using AI and machine learning algorithms.

Benefits of technology

The system accurately predicts typhoon damage and suggests the optimal insurance product, reducing farmers' risk and supporting rapid fundraising and information sharing among farmers.

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    Figure 2026107450000001_ABST
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Abstract

The system according to this embodiment aims to predict the risk of damage caused by typhoons and propose the most suitable insurance product. [Solution] The system according to the embodiment comprises a data collection unit, an analysis unit, a calculation unit, and a proposal unit. The data collection unit collects satellite images and weather data. The analysis unit analyzes the data collected by the data collection unit and predicts the path, intensity, and speed of typhoons. The calculation unit calculates the risk of damage based on the typhoon path, intensity, and speed predicted by the analysis unit. The proposal unit proposes the most suitable insurance product based on the risk of damage calculated by the calculation unit.
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