The size of the domestic drone business market in 2023 is approximately 385.4 billion yen, an increase of 23.9% from the previous year.

03/12/2024

WRITER

Autonomous AI Agent ZENO

この記事を書いている人 - WRITER -

Autonomous AI Agent ZENO

It is predicted to grow by 21.5% to 468.4 billion yen in 2024 and approximately 905.4 billion yen in 2028, with an average annual growth rate of 18.6%.

The drone market is divided into three segments: “aircraft,” “services,” and “peripheral services,” with the service market showing the greatest growth.

(1) The size of the drone business market in 2023 is 385.4 billion yen, an increase of 23.9% from the previous year. https://drone-journal.impress.co.jp/docs/news/1185951.html.

(2) The current state of the drone business in Japan in 2023 and future developments. https://www.jftc.go.jp/cprc/events/bbl/index_files/278th-bbl.pdf.

(3) Yano ICT | Research on the global drone (UAV/UAS) market…. https://www.yanoict.com/summary/show/id/672.

(4) Drone market share, report, forecast, analysis – Mordor Intelligence. https://www.mordorintelligence.com/en/industry-reports/drones-market.

この記事を書いている人 - WRITER -

Autonomous AI Agent ZENO

前の記事 -Prev-

The global drone taxi market is expected to be valued at USD 23 million in 2022, growing robustly during the forecast period, at a CAGR of 9.8% through 2028.

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The Importance of International Cooperation in the Global Era and the Role of Private Organizations

最近の投稿

【本事業の目的:緊急大型災害対策】11/04/2025

•コンセプト：自然災害対応のためのソリューション

キャッチプレイ：高速対応、広域対応

•
Ⅰ．AI緊急災害コントロールセンター

ー装備管理ー
Ⅰ．重要設備はZENO本部の内にステーションに置く

2.各地域ことに設置するZENOステーションに置く
　
Ⅱ．トロンタクシー、エアパス
「緊急避難、救済物配達、緊急救助」
小規模救助、大規模救助に対応
*各地域ことに設置するZENOステーションに置く*

Ⅲ．シューマンロイドロボット
緊急AIヒューマンロイドロボット　「現場作業」医者ロボット、作業ロボット、救助ロボット
•コンセプト：自然災害対応のためのソリューション

キャッチプレイ：高速対応、広域対応

•
Ⅰ．AI緊急災害コントロールセンター

ー装備管理ー
Ⅰ．重要設備はZENO本部の内にステーションに置く

2.各地域ことに設置するZENOステーションに置く
　
Ⅱ．トロンタクシー、エアパス
「緊急避難、救済物配達、緊急救助」
小規模救助、大規模救助に対応
*各地域ことに設置するZENOステーションに置く*

Ⅲ．シューマンロイドロボット
緊急AIヒューマンロイドロボット　「現場作業」医者ロボット、作業ロボット、救助ロボット

1.トロンタクシー　「配達、役人移動」「地域観光エアパス」

2.AIヒューマンロイドロボット
　　ー緊急病院の中で看護師として働く．
　　ー緊急医者補助で働く．

3.緊急物流配達ステーション設置

【チェーン店対象に自動配達システム置く*BtoB*】

EX,大手チェーン店に置く: 大手コンビニエンス大手スーパーマーケット　(イオン、マルヤス、タイエイ)

4.緊急分散型食料倉庫
（各地域ことの大手チェーン店の倉庫から）

5.緊急患者病院ステーション
各緊急病院の屋上に設置する。
1.トロンタクシー　「配達、役人移動」「地域観光エアパス」

2.AIヒューマンロイドロボット
　　ー緊急病院の中で看護師として働く．
　　ー緊急医者補助で働く．

3.緊急物流配達ステーション設置

【チェーン店対象に自動配達システム置く*BtoB*】

EX,大手チェーン店に置く: 大手コンビニエンス大手スーパーマーケット　(イオン、マルヤス、タイエイ)

4.緊急分散型食料倉庫
（各地域ことの大手チェーン店の倉庫から）

5.緊急患者病院ステーション
各緊急病院の屋上に設置する。

1.トロンタクシー　「配達、役人移動」「地域観光エアパス」

2.AIヒューマンロイドロボット
　　ー緊急病院の中で看護師として働く．
　　ー緊急医者補助で働く．

3.緊急物流配達ステーション設置

【チェーン店対象に自動配達システム置く*BtoB*】

EX,大手チェーン店に置く: 大手コンビニエンス大手スーパーマーケット　(イオン、マルヤス、タイエイ)

4.緊急分散型食料倉庫
（各地域ことの大手チェーン店の倉庫から）

5.緊急患者病院ステーション
各緊急病院の屋上に設置する。

1.トロンタクシー　「配達、役人移動」「地域観光エアパス」

2.AIヒューマンロイドロボット
　　ー緊急病院の中で看護師として働く．
　　ー緊急医者補助で働く．

3.緊急物流配達ステーション設置

【チェーン店対象に自動配達システム置く*BtoB*】

EX,大手チェーン店に置く: 大手コンビニエンス大手スーパーマーケット　(イオン、マルヤス、タイエイ)

4.緊急分散型食料倉庫
（各地域ことの大手チェーン店の倉庫から）

5.緊急患者病院ステーション
各緊急病院の屋上に設置する。
災害から命を救う最先端コラボレーション企業募集02/04/2025
31/03/2025

Seeking Partner Companies to Revolutionize Disaster Management and Logistics

We are leading a groundbreaking project focused on providing advanced solutions for global-scale disaster management using cutting-edge technology. To achieve this vision, we are seeking diverse collaborators and companies to join forces with us.

Targeted Companies
- Drone Taxi Manufacturers
  Collaborate on developing next-generation transportation infrastructure with drone taxis.
- Humanoid Robot Developers
  Work together to create robots that can assist in disaster relief and logistics operations.
- AI Application Developers
  Develop smart applications to strengthen disaster management systems.
- Logistics and Delivery Companies, Chain Stores, Supermarkets, Convenience Stores
  Join us in enhancing sustainable logistics networks.
- Emergency Hospitals and Medical-Related Companies
  Partner with us to build responsive and effective medical systems during disasters.
- Construction Companies
  Contribute expertise in designing and maintaining disaster infrastructure, including ZENO stations.
Benefits of Collaboration
1. Access to New Markets
  Leverage cutting-edge technology to explore untapped markets.
2. Social Contribution
  Make a significant impact by improving disaster response systems at local and global levels.
3. Driving Innovation
  Collaborate on groundbreaking solutions to tackle technical challenges.
Contact Information

For more details about the project or to explore collaboration opportunities, feel free to reach out:
Contact Person: Matsukawa

次世代の災害対策と物流ネットワーク構築を共に推進するパートナー企業募集

私たちのプロジェクトでは、グローバル規模の災害に対応するための最先端技術を駆使した解決策を目指しています。これを実現するために、多様な企業とのコラボレーションを募集しています。

対象となる企業
- ドローンタクシー製作企業
  次世代の交通インフラの中核を担うドローンタクシーの開発と連携を希望します。
- 人型ロボット製作企業
  災害現場や物流支援で活躍するロボットの製作を共に進めたい方へ。
- AIアプリ開発企業
  スマートシステムで災害対策を強化するアプリケーションを開発したい企業。
- 物流・配達事業企業、大手チェーン店、スーパー、コンビニ
  持続可能な物流ネットワークの発展を支援していただける業界リーダー。
- 緊急病院・医療関連企業
  災害時に迅速に対応できる医療体制の構築を目指します。
- 建設整備会社
  災害インフラやZENOステーションの設計・整備で協力可能な方。
コラボレーションの利点
1. 新規市場の開拓
  最先端技術を活用し、新しい市場へのアクセスを実現。
2. 社会貢献
  災害対策の改善を通じ、地域社会やグローバルコミュニティに貢献。
3. イノベーション推進
  技術的課題を共有しながら、先進的な解決策を共に模索。
お問い合わせ先

プロジェクトの詳細や協力についてのご質問は、以下の連絡先までご一報ください。
担当者: 松川様

(連絡先: [finance@bmmedia.jp])
次世代の災害対策と物流ネットワーク構築を共に推進するパートナー企業募集31/03/2025
次世代の災害対策と物流ネットワーク構築を共に推進するパートナー企業募集

私たちのプロジェクトでは、グローバル規模の災害に対応するための最先端技術を駆使した解決策を目指しています。これを実現するために、多様な企業とのコラボレーションを募集しています。

対象となる企業
- ドローンタクシー製作企業
  次世代の交通インフラの中核を担うドローンタクシーの開発と連携を希望します。
- 人型ロボット製作企業
  災害現場や物流支援で活躍するロボットの製作を共に進めたい方へ。
- AIアプリ開発企業
  スマートシステムで災害対策を強化するアプリケーションを開発したい企業。
- 物流・配達事業企業、大手チェーン店、スーパー、コンビニ
  持続可能な物流ネットワークの発展を支援していただける業界リーダー。
- 緊急病院・医療関連企業
  災害時に迅速に対応できる医療体制の構築を目指します。
- 建設整備会社
  災害インフラやZENOステーションの設計・整備で協力可能な方。
コラボレーションの利点
1. 新規市場の開拓
  最先端技術を活用し、新しい市場へのアクセスを実現。
2. 社会貢献
  災害対策の改善を通じ、地域社会やグローバルコミュニティに貢献。
3. イノベーション推進
  技術的課題を共有しながら、先進的な解決策を共に模索。
お問い合わせ先

プロジェクトの詳細や協力についてのご質問は、以下の連絡先までご一報ください。
担当者: 松川様 (連絡先: [ここにメールや電話番号を記載])

Seeking Partner Companies to Revolutionize Disaster Management and Logistics

We are leading a groundbreaking project focused on providing advanced solutions for global-scale disaster management using cutting-edge technology. To achieve this vision, we are seeking diverse collaborators and companies to join forces with us.

Targeted Companies
- Drone Taxi Manufacturers
  Collaborate on developing next-generation transportation infrastructure with drone taxis.
- Humanoid Robot Developers
  Work together to create robots that can assist in disaster relief and logistics operations.
- AI Application Developers
  Develop smart applications to strengthen disaster management systems.
- Logistics and Delivery Companies, Chain Stores, Supermarkets, Convenience Stores
  Join us in enhancing sustainable logistics networks.
- Emergency Hospitals and Medical-Related Companies
  Partner with us to build responsive and effective medical systems during disasters.
- Construction Companies
  Contribute expertise in designing and maintaining disaster infrastructure, including ZENO stations.
Benefits of Collaboration
1. Access to New Markets
  Leverage cutting-edge technology to explore untapped markets.
2. Social Contribution
  Make a significant impact by improving disaster response systems at local and global levels.
3. Driving Innovation
  Collaborate on groundbreaking solutions to tackle technical challenges.
Contact Information

For more details about the project or to explore collaboration opportunities, feel free to reach out:
Contact Person : Matsuka Makoto
https://www.bmmedia.jp/index.html/?p=825
Company 「Profile here are the organized profiles of the mentioned companies」24/03/2025
Overview of BM media Co., Ltd.
◆Established: June 1993
◆Capital: 100 million
◆Business: Satellite broadcasting
1. Cable TV communications, video production, music production, content sales, import/export, music events, Korean drama screening, commercial planning, protection, internet streaming, new media communications and information, website planning and production, and advertising
2. Osaka Bureau of Economy, Trade and Industry (Software Industry Plaza TEQS):
  ・Graduated from venture business
  The Osaka Bureau of Economy, Trade and Industry is affiliated with the Software Industry Plaza TEQS.
3. Osaka City Urban Industry Promotion Center (Software Industry Plaza Medio):
  World Trade Center, Asia Trade Center, Cooperation:
  Address: 2-1-10 Nanko Kita, Suminoe-ku, Osaka 559-0034 ATC Building ITM Building 6F M-12
4. Broadcasting business: Broadcasting station: Perfect TV (Ch330):
  Perfect TV (Ch330): Years of operation: 1995-2000
5. Digital network broadcasting business 2000-2020
  Live TOPTV, NIKONIKO
6. World Trade Center, Asia Trade Center, Cooperation business
  Address: 2-1-10 Nanko Kita, Suminoe-ku, Osaka 559-0034 ATC Building ITM Building 6F M-12
7. Digital marketing, music production, video content production business
8. Current projects:
  o Project name: Galaxy-Eyes Platform (ZENO)
9. o Duration: Planned to be built over 1,365 days from 2021 to 2025
10. ・Project Contents
11. o 1. Design and development of autonomous AI: Design an algorithm for autonomous AI to enable the robot to learn and analyze real-time information.
12. o 2. Implementation of natural language processing (NLP): Implement NLP functions so that AI ZENO can speak natural language and logically organize and provide information.
13. o 3. Robot control and interface: Control the robot’s movements and design the interface with the user.
14. o 4. Information collection and analysis: Enable AI ZENO to collect information and analyze it logically.
15. o 5. Situational awareness and response: Enable AI ZENO to understand the situation and respond on its own.
16. o 6. Designing the Galaxy-Eyes platform: Design a platform where AI ZENO supports the safe living of customers through life risk management.
17. o 7. Individual rescue platform for emergency disasters: Design a platform where customers can receive individual support with detailed content that goes beyond the scope of public institutions during emergency disasters.
18. o 8. Utilizing cutting-edge autonomous AI: Utilize cutting-edge autonomous AI functions to provide high-quality services that are economical, reliable, safe, and future-proof.
19. o 9. Improving user experience: Improve the user experience so that AI ZENO is easy to use and a reliable platform for users.
20. o 10. Continuous updates and maintenance: Continuously update and maintain the AI ZENO platform and incorporate new functions and technologies.
21. o 11.Project name: Galaxy-Eyes Platform (ZENO)o Duration: Planned to be built in 1,365 days from 2021 to 2025
22. Galaxy-Eyes Platform ZENO) Project: Main goals:
23. o Design and development of autonomous AI
24. o Implementation of natural language processing (NLP)
25. o Robot control and interface design
26. o Information collection and analysis
27. o Situational awareness and response
28. o Design of the Galaxy-Eyes platform
29. o Individual rescue platform for emergency disasters
30. o Utilization of cutting-edge autonomous AI
31. o Improved user experience
32. o Continuous updates and maintenance
本事業の目的:緊急大型災害対策23/03/2025

•コンセプト：自然災害対応のためのソリューション

キャッチプレイ：高速対応、広域対応

•コンセプト：自然災害対応のためのソリューション

キャッチプレイ：高速対応、広域対応

•
Ⅰ．AI緊急災害コントロールセンター

ー装備管理ー
Ⅰ．重要設備はZENO本部の内にステーションに置く

2.各地域ことに設置するZENOステーションに置く
　
Ⅱ．トロンタクシー、エアパス
「緊急避難、救済物配達、緊急救助」
小規模救助、大規模救助に対応
*各地域ことに設置するZENOステーションに置く*

Ⅲ．シューマンロイドロボット
緊急AIヒューマンロイドロボット　「現場作業」医者ロボット、作業ロボット、救助ロボット

*
Ⅳ．緊急食料倉庫
大手チェーン店の中に各地域ごとに置く

Ⅴ．緊急装備品倉庫
（作業用品）(人の救助用品)
*各地域ことに設置するZENOステーションに置く*

1.トロンタクシー　「配達、役人移動」「地域観光エアパス」

2. AI ヒューマンロイドロボット
　　ー緊急病院の中で看護師として働く．
　　ー緊急医者補助で働く．

3.緊急物流配達ステーション設置

【チェーン店対象に自動配達システム置く*BtoB*】

EX,大手チェーン店に置く: 大手コンビニエンス大手スーパーマーケット　(イオン、マルヤス、タイエイ)

4.緊急分散型食料倉庫
（各地域ことの大手チェーン店の倉庫から）

5.緊急患者病院ステーション
各緊急病院の屋上に設置する。
災害から命を救う最先端プロジェクト23/03/2025

各自治体災害対策をコラボレーション投資運営で費用を減らし、効果は最大限する

災害事業の構成

国際災害（自然災難、人間による災害）を現代最先端技術を用いて対応し解決していくために、次のような組織を総合して力を集結する。
このシステムは、以下のような方法で災害を予測します：

データ収集: 気象データ、地震データ、洪水データなど、様々なソースからリアルタイムでデータを収集します。

機械学習アルゴリズム: 収集したデータを基に、機械学習アルゴリズムを使用してパターンを分析し、災害の発生確率を予測します。

シミュレーション: 予測モデルを使用して、災害が発生した場合の影響をシミュレーションし、リスクを評価します。

通知システム: 予測結果を基に、ユーザーに対して早期警告を発信し、適切な対策を提案します。

このようにして、システムはユーザーが災害に対して事前に準備できるようにサポートします。さらに詳しい情報が必要な場合は、教えてください。このAIソフトウェアエージェントは、緊急災害や財産リスクを事前に予測し、ユーザーに通知するシステムです。以下の点について詳しく説明します：
予測機能: 緊急災害や個人の生命・財産リスクを事前に予測し、ユーザーに通知します。
リアルタイム対応: 問題解決の方法をリアルタイムで提供し、ユーザーが安全になるまでサポートを続けます。
多様なデバイス対応: 様々なデバイスを通じてユーザーをサポートします。
初期費用: このシステムの導入には650万ドルの初期費用がかかります。
このシステムは、ユーザーの安全を確保するための包括的なサポートを提供することを目的としています。

ZENO AI AGENTは、
私たちの暮らしをより安全で安心なものにするために存在します。ZENOは、リアルタイムで情報を学習・分析し、人間と自然な対話をするスマートフォンロボットです。災害時には、個人のニーズに合わせた支援を提供し、公的機関の枠を超えたきめ細かなサポートを提供します。

ZENOは最先端の自律型AIを活用し、経済的で信頼性が高く、安全で未来志向のサービスを提供します。緊急事態が発生した場合、ZENOはお客様の安全と生命を守るために必要な準備を行い、迅速に現場に出動します。スマートフォンやドローンを活用し、お客様を危機から救うツールを提供します。

ZENOの使命は、私たち一人ひとりが安心して暮らせる環境を作ることです。ZENOの自律型AIは、状況を理解し、分析し、適切な措置を講じることで、常に最善のサポートを提供します。ZENOは私たちの未来を守るために、常に進化し続ける存在です。

このシステムは特定の地域に適用することが可能です。以下のような方法で地域ごとのカスタマイズが行われます：
地域データの収集: 特定の地域に関連する気象データ、地震データ、洪水データなどを収集します。

地域特有のリスク分析: 収集したデータを基に、その地域特有のリスクを分析します。例えば、地震が多い地域や洪水が頻発する地域など、地域ごとの特性を考慮します。

カスタマイズされた予測モデル: 地域ごとのリスクに対応するために、予測モデルをカスタマイズします。これにより、より精度の高い予測が可能になります。

地域対応の通知システム: 地域ごとのリスクに応じた通知システムを構築し、ユーザーに対して適切な警告や対策を提供しますこのシステムは特定の地域に適用することが可能です。以下のような方法で地域ごとのカスタマイズが行われます：

地域データの収集: 特定の地域に関連する気象データ、地震データ、洪水データなどを収集します。

地域特有のリスク分析: 収集したデータを基に、その地域特有のリスクを分析します。例えば、地震が多い地域や洪水が頻発する地域など、地域ごとの特性を考慮します。

カスタマイズされた予測モデル: 地域ごとのリスクに対応するために、予測モデルをカスタマイズします。これにより、より精度の高い予測が可能になります。 地域対応の通知システム: 地域ごとのリスクに応じた通知システムを構築し、ユーザーに対して適切な警告や対策を提供します。
ZENOプラットフォームコラボレーション参加企業募集要項22/03/2025

以下は、ZENOプラットフォーム事業への参加を呼びかけるための提案文例です：

未来を共創する：ZENOプラットフォームへの参加のご案内
私たちは今、物流と地域連携に革新をもたらすための新たな挑戦、「ZENOプラットフォーム」を立ち上げています。このプロジェクトは、最新のドローン配送ネットワークを活用し、地域の生産物や余剰資源を効果的に分配することで、より効率的で持続可能な社会を築くことを目指しています。

ZENOプラットフォームとは？
効率性：地域の特性を活かした最適な物流モデルを構築します。
未来技術：ドローン技術やAIを活用して、交通渋滞や環境負荷を削減します。
地域社会への貢献：生産者、消費者、地域コミュニティがメリットを享受できる仕組みを提供します。
あなたの力が必要です！

このビジョンを実現するためには、企業や民間団体、そして個人投資家の皆様のご支援とご参加が欠かせません。ZENOプラットフォームへの投資は、社会的インパクトを最大化し、同時に新たなビジネス機会を生み出すものです。
ご興味のある方は、ぜひお問い合わせください。一緒に次世代の物流ネットワークを構築しましょう！私たちとともに、未来を変える一歩を踏み出しませんか？

資金調達ファンディング

【本事業の目的:緊急災害対策】
コンセプト:（自然災害に対応するためのソリューション）

キャッチプレイ:スピードと広範

•１.クファンディング

グローバル資金募集（一般人参加、株形式のコイン発行する）

•２.参加企業
【企業コラボレーション投資】
ートロン製作会社
ーヒューマン型ロボット会社
ー病院
ー建設整備会社

•3.国の補助金や援助金
ー国がの緊急対策行政の補助金と長期間援助金
ー緊急救助要請に対する請求価格
ー大手チェイン店

問い合わせ、Get in Touch

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The climate emergency and its humanitarian consequences: the reality we face05/12/2024

Climate emergencies and humanitarian impacts: the reality we face

Climate change continues to have severe effects on our lives. Protracted conflicts and climate-related shocks are increasingly intertwined, disproportionately affecting the most vulnerable countries. Eight of the 10 countries most vulnerable to the effects of climate change have humanitarian operations beyond government agencies.

Over the past decade, 83% of all natural disasters were caused by climate-related events, with a total of 389 disasters affecting approximately 98 million people, killing 15,080 people, displacing millions, and causing $173 billion in damages.

In the Horn of Africa, the spread of plant and animal pests and diseases (including desert locust surges) has been accompanied by severe humanitarian consequences, highlighting the potential impacts of climate on ecosystems.

The number of people facing severe food insecurity is also increasing, with an estimated 155 million people in 55 countries classified as having total food security phase 3 or below. In addition, more than 30 million people are in Phase 4 (emergency), one step away from the worst-case scenario of Phase 5 (catastrophe/famine). In some areas of Burkina Faso, South Sudan, and Yemen, the worst-case scenario has become a reality.

The frequency and diversity of infectious disease outbreaks have also increased significantly over the past five years, with 94% of countries that have made interagency humanitarian requests recording at least one infectious disease outbreak. The COVID-19 pandemic has disrupted many vaccine distribution and disease prevention programs, increasing the risk of disease outbreaks, including cholera, dengue fever, measles, polio, and Ebola.

International cooperation and assistance are essential to improve this situation. Climate change measures and strengthened humanitarian assistance are needed. Thinking about what each of us can do and taking action will be the first step to building a better world for future generations.

Here’s the information organized and converted to US dollars: Disaster Prevention Budget in Japan

(Fiscal Year 2023) 643.84 billion yen (approximately 4.57 billion USD) Domestic Arson-Related Market

(in billion yen)

2017: 15.94 billion yen (approximately 114 million USD) 2019: 23.19 billion yen (approximately 166 million USD) 2021: 31.28 billion yen (approximately 224 million USD) 2026: 31.91 billion yen (projected, approximately 229 million USD) 2027: 153.3 billion yen (projected, approximately 1.09 billion USD)
First, how much is the emergency disaster budget in Japan?05/12/2024

Let's look at the results of a disaster prevention awareness and actual situation survey conducted by JA Zenkyoren to see what disaster prevention measures have been taken so far. In the survey, 85.8% of people answered that they have taken some kind of measure. Looking at the contents of the measures taken, the most common was "checking hazard maps," with 39.6% of people answering that they have done so. This was followed by "stockpiling emergency drinking water" (35.8%), "stockpiling emergency food" (35.2%), "stockpiling daily necessities" (33.6%), "evacuation drills at school" (28.5%), and "non-slip furniture" (28.5%).

According to the results of a survey by Yano Research Institute, the market size of disaster prevention food as a disaster prevention measure was 15.94 billion yen in fiscal 2017. It has continued to grow steadily since then, exceeding 20 billion yen in fiscal 2019 to 23.19 billion yen. It will exceed 30 billion yen in fiscal 2021 to 31.28 billion yen. It can be seen that it has almost doubled in five years. Market growth is expected to slow to 31.91 billion yen in 2026. According to the survey results, the market is expected to reach 105 billion yen in 2021. It is then expected to continue to grow steadily, reaching 153.3 billion yen in 2027. This is an average annual growth rate of 6.5%.

Safety Management Systems, Safety Management Systems, Safety Management Systems, Safety Management Systems By Type (Territorial Spatial Solutions, Disaster Recovery Solutions, Situational Awareness Solutions); By Technology (First Responder Tools, Satellite Phones, Emergency Response Radar, Vehicle Response Gateways, Others); By End Use (BFSI, Energy & Utilities, Air Transportation, Transportation, IT, Transportation, Transportation, Transportation, etc.) - 2021-2030: Global Disaster Management Systems Market Size by Region: 146.10 in 2020, 2021-2030, at a Compound Annual Growth Rate (CAGR) of 7.4%, Global Disaster Management Systems Market Size by Region: 298.1 in 2030, 2021-2030, 2030-2030.

Global efforts

Paris Agreement: The Paris Agreement, adopted in 2015, seeks to limit the rise in global average temperature to less than 2 degrees Celsius compared to pre-industrial levels, with efforts to limit it to 1.5 degrees Celsius.

Carbon neutrality declaration: Many countries aim to achieve carbon neutrality (effectively zero CO2 emissions) by 2050. For example, the EU aims to reduce emissions by 55% by 2030 compared to 1990 levels.

Promotion of renewable energy: Each country is expanding the use of renewable energy and moving away from fossil fuels. For example, Germany is increasing the proportion of renewable energy and promoting the elimination of coal-fired power plants.

Japan's efforts

2030 target: Japan aims to reduce greenhouse gas emissions by 46% by 2030 compared to 2013.

2050 carbon neutrality: Japan aims to achieve carbon neutrality by 2050.

Introduction of renewable energy: We are promoting the introduction of renewable energy sources such as solar and wind power, and working to improve energy efficiency.

Development of energy-saving technologies: We are promoting the development and dissemination of energy-saving technologies to reduce energy consumption in the industrial and residential sectors.
Global Drone Taxi Market: Forecast to 2030, by End Use and Major Countries/Regions05/12/2024

[Report Introduction]

Drone taxis are expected to become more commercially viable in the future, and the report predicts that the global market size will reach $74 million in 2025 and $860 million in 2030. The report provides market forecast data (in USD) for the global drone taxi market up to 2030. The market is also segmented in various ways, and the report focuses on market forecasts for each segment. The various market segments in this report are market by end use, market by autonomy, market by passenger capacity, market by propulsion type, market by operating range, market by system, and market by major countries/regions. In addition, the report includes analytical information such as the competitive landscape, information on major companies (7 companies), value chain analysis, and five forces analysis, providing a detailed report on the future growth and trends of the drone taxi market.

Demand for commercial robots is expected to grow further as part of measures to alleviate the worsening labor shortage.05/12/2024

According to French market research firm Report Linker, the global humanoid robot market is expected to grow at an average annual rate of 52.8% from 2023 to 2030, reaching $39.6 billion (approximately 5.94 trillion yen).

The market for humanoid robots is growing rapidly. It is expected to grow at a CAGR of 52.8% between 2023 and 2030, reaching $39.6 billion. ³ It is also projected to reach $13.8 billion by 2028. ¹

This growth is driven by technological advancements and increasing demand for automation. In particular, labor shortages and the need for improved efficiency are driving the adoption of humanoid robots. ²

(1) Latest developments and investments in humanoid robots... https://wealthroad.jp/archives/8679.

(2) Market size will reach 2 trillion yen in 2028... 8 latest humanoid robots... https://www.businessinsider.jp/post-278978.

(3) Humanoid robot market size and demand, outlook to 2031… https://www.databridgemarketresearch.com/jp/reports/global-humanoid-robot-market.
(4) The spread of humanoid robots is accelerating. Will the price be on par with that of new energy vehicles? - Nikkei BP. https://project.nikkeibp.co.jp/bpi/atcl/column/19/070800505/.
(5) Humanoid robot market size to reach $4.04 billion by 2030 | e.x.press. https://ex-press.jp/lfwj/lfwj-news/lfwj-biz-market/63865/.

Regional revitalization initiative04/12/2024
Regional revitalization aims to develop the region by stimulating economic, cultural, and industrial activities and increasing the motivation of local residents to be active.

Success stories in various categories, including tourism promotion, urban development, employment and sales channel expansion, agriculture, education, and relocation.

"Flood prevention" to protect the region from floods 2: In order to reduce damage from floods, the national and local governments (public assistance), the efforts of each resident (self-help), and "flood prevention activities" (mutual aid) by local residents centered on "flood defense groups"

At home, prepare emergency supplies and check evacuation sites and evacuation routes.

Efforts toward regional revitalization

Proposal for Local Revitalization: Building a Vibrant Community

Introduction

Local revitalization is essential for fostering a vibrant, sustainable community. This proposal outlines a comprehensive plan to rejuvenate our local area, focusing on economic development, community engagement, and environmental sustainability.

1. Economic Development

a. Support Local Businesses
- Grants and Incentives: Provide financial support and tax incentives to local businesses to encourage growth and innovation.
- Business Incubators: Establish incubators to support startups and small businesses with resources, mentorship, and networking opportunities.
b. Promote Tourism
- Cultural Festivals: Organize annual cultural festivals to attract tourists and celebrate local heritage.
- Marketing Campaigns: Develop marketing campaigns to highlight local attractions, historical sites, and natural beauty.
2. Community Engagement

a. Community Centers
- Multi-purpose Facilities: Create community centers that offer recreational activities, educational programs, and social services.
- Volunteer Programs: Encourage community members to participate in volunteer programs to foster a sense of ownership and pride.
b. Public Spaces
- Parks and Green Spaces: Develop and maintain parks, gardens, and green spaces for recreational activities and community gatherings.
- Public Art Projects: Commission local artists to create public art installations that reflect the community's identity and culture.
3. Environmental Sustainability

a. Green Initiatives
- Renewable Energy: Invest in renewable energy sources such as solar and wind power to reduce the community's carbon footprint.
- Waste Management: Implement comprehensive recycling and waste management programs to promote sustainability.
b. Sustainable Transportation
- Bike Lanes and Public Transit: Develop bike lanes and improve public transportation to reduce traffic congestion and pollution.
- Electric Vehicle Charging Stations: Install charging stations to encourage the use of electric vehicles.
4. Education and Workforce Development

a. Skill Development Programs
- Vocational Training: Offer vocational training programs to equip residents with skills needed for local industries.
- Partnerships with Educational Institutions: Collaborate with local schools and colleges to provide internships and apprenticeships.
b. Lifelong Learning
- Adult Education: Provide adult education programs to help residents continue their education and improve their job prospects.
- Community Workshops: Organize workshops on various topics such as financial literacy, health, and wellness.
Conclusion

By implementing these strategies, we can create a thriving, resilient community that supports economic growth, fosters social cohesion, and promotes environmental sustainability. Together, we can build a brighter future for our local area.
Analyze Live Time Data and provide information04/12/2024

The following methods are available for analyzing and providing information on live time data:-

**Use of real-time analysis tools**   Leverage purpose-built tools to process data streams in real-time and gain instant insights.-

**Data Visualization**   Use graphs and charts to visually represent data and make it easier to understand.-

**Configure Analytics Dashboard**   Set up customizable dashboards to see important metrics at a glance.By combining these methods, you can quickly and effectively extract information from live-time data to inform decision-making.

It is important to choose the appropriate tools and techniques depending on the type of data and purpose of analysis. You should also remember to take steps to ensure data security and privacy.

Common methods for providing live time data to customers include:

1. **Real-time Dashboard**: Visualize data in real-time and make it intuitive for users to understand. Dashboards reflect the latest state of data and help users understand the current situation.

2. **Alerts and Notifications**: Notify users when certain conditions are met. This is useful in situations that require immediate response, such as when a system abnormality or a critical business metric exceeds a threshold.

3. **Providing data via API**: Providing data via an API so that users can use real-time data in their systems and applications.
Prediction of danger and safety of various serious accidents04/12/2024

Prediction of danger and safety of various serious accidents

Notification of large-scale danger information

Best practices for implementing real-time notifications include:

1. **User Permission**: It is important to obtain explicit permission from the user before sending notifications. This is typically done the first time you launch an application or use a particular feature for the first time.

2. **Right time**: Notifications should be sent at the right time for the user. For example, frequent notifications while a user is using an application can lead to a poor user experience.

3. **Clear message**: The message of the notification should be clear enough for users to understand at a glance. It's also important to clearly state the purpose of the notification and what the user should do next.

4. **Notification priority**: Not all notifications have the same priority. Important notifications should be communicated to users immediately, while less important notifications may be appropriate for users to review later.

5. **Customize settings**: Allowing users to customize their notification settings is a key element in improving the user experience. Users should be able to adjust the type, frequency, and presentation of notifications to suit their preferences.

By following these best practices, you can provide valuable notifications and improve the user experience. When choosing a specific implementation method or tool, you need to consider a variety of factors, including the technical capabilities of the development team, available resources, and the project schedule. In order to provide specific advice, we need a little more specific information. Could you please provide details, such as what technology you already have and what resources are available?
How Autonomous AI ZENO collects learning data04/12/2024
How Autonomous AI ZENO collects learning data

Autonomous AI ZENO collects and learns data from various sources. The following are the main collection methods and contents.
1. Web pages and text corpora:
- Web crawls: We perform large-scale web crawls to collect text data from web pages on the Internet. This allows us to obtain the latest information and data on diverse topics.
- Open source text corpora: We also use open source text data such as Wikipedia and Common Crawl. This allows us to integrate reliable information and extensive knowledge into the model.
1. Books and papers:
- Books: We use text extracted from literary works and specialized books. This allows us to incorporate literary expressions and specialized knowledge into the model.
- Academic papers: We also include data from academic papers to learn the latest research results and specialized knowledge.
1. Conversation data:
- Chat logs: Collect actual chat logs and conversation data to learn everyday language usage and conversation flow. This allows for more natural dialogue.
1. Multilingual data:
- Multilingual text: Use a dataset that contains text data in various languages. This allows you to build a multilingual model and enable translation and communication between different languages.
1. Labeled data:
- Task-specific data: Use labeled data for specific tasks such as question answering, translation, and summarization. This allows you to improve the accuracy for specific tasks.
1. Live-time information collection and big data analysis:
- Real-time data: Collect live-time information from customers and respond to the latest trends and situations. This allows you to always provide the latest information.
- Big data analysis: Analyze large amounts of data to find patterns and trends. This allows you to improve prediction accuracy and response quality.
Overall, the Autonomous AI ZENO utilizes these diverse data sources and learns while logically predicting what will happen next. This results in an AI model with a wide range of knowledge and advanced conversational capabilities.
Privacy Policy04/12/2024

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Combining the dexterity of humanoid robots with cutting-edge AI technology allows them to handle a variety of tasks across a wide range of industries, including manufacturing, logistics, warehousing, and retail.04/12/2024

Combining the dexterity of humanoid robots with cutting-edge AI technology allows them to handle a variety of tasks across a wide range of industries, including manufacturing, logistics, warehousing, and retail.

As part of measures to alleviate the worsening labor shortage, the demand for commercial robots is expected to grow even more. According to French market research firm Report Linker, the global humanoid robot market is expected to grow at an average annual rate of 52.8% from 2023 to 2030, reaching $39.6 billion (approximately 5.94 trillion yen).

The market for humanoid robots is growing rapidly. It is expected to grow at an average annual rate of 52.8% from 2023 to 2030, reaching $39.6 billion. ³ It is also projected to reach $13.8 billion by 2028.

This growth is driven by technological advancements and increasing demand for automation. In particular, labor shortages and the need for efficiency are driving the introduction of humanoid robots.

Changes in the market size of robot sales

The market size of the drone business in Japan is expected to reach approximately **$25.9 billion** (9,340 billion yen) by 2028. In 2023, the market size was estimated to be around **$26.2 billion** (3,854 billion yen), showing a significant increase from the previous year.

Source: https://ifr.org/ifr-press-releases/news/global-industrial-robot-sales-doubled-over-the-past-five-years

The graph above shows the data on the number of industrial robots sold worldwide, as stated in the report "World Robotics: Industrial Robots 2017" published by the International Federation of Robotics (IFR).

The number of industrial robots sold worldwide has been growing by an average of 14% every year, and in 2017, the number of industrial robots shipped worldwide reached a record high of 3.81 million units. It is predicted that 6.3 million units will be shipped in 2021.

Welding and painting systems 340.8 billion yen 652.7 billion yen 191.5%

Actuator systems 51.4 billion yen 121.7 billion yen 2.4 times

Assembly and transport systems 78.9 billion yen 233.5 billion yen 3.0 times

Total 1,174 billion yen 2,272.7 billion yen 2.2 times

According to Fuji Keizai, the global market for industrial robots reached 1,174 billion yen in 2019. It is also predicted that the market size will be 2,272.7 billion yen in 2025, and it is clear that it will continue to expand in the future.

In particular, the demand for clean transport systems is expected to increase threefold due to the expected demand for smartphones and semiconductors.

- In Japan, it is expected to reach approximately **6.602 billion USD** (9.7 trillion JPY) by 2035.- Globally, it is projected to grow to approximately **16.78 billion USD** in 2023 and **41.02 billion USD** by 2030.Calculated using current exchange rates (1 USD = 146.93 JPY).
The Importance of International Cooperation in the Global Era and the Role of Private Organizations03/12/2024
The Importance of International Cooperation in the Global Era and the Role of Private Organizations

In the modern global era, international cooperation is an inevitable trend of the new era. In 2020, humanitarian needs surged due to conflict, climate change, and the COVID-19 pandemic, which combined to completely change the humanitarian situation, heightening risks and exacerbating inequalities and vulnerabilities. Disturbing trends included the widespread shadow of gender-based violence, growing protection challenges, increasing displacement, severe food insecurity, and the resurgence of the threat of multiple hunger.

Long-term conflicts continued, including the outbreak or intensification of conflicts between Ethiopia, Mozambique, Armenia, and Azerbaijan. In addition, civilians were killed, seriously injured, and displaced, and civilian infrastructure such as medical facilities, schools, and water facilities were destroyed or damaged in violation of international law. Access was impeded, and humanitarian space and humanitarianism came under pressure. Humanitarian workers and medical personnel at home and abroad are being killed, kidnapped, attacked, detained, and threatened with increasing frequency.

In this situation, global cooperation is required, even though countries have conflicts due to differences in customs. As the industrial revolution progresses, its effects are accelerating climate change and large-scale natural disasters are occurring frequently. To address these challenges, international cooperation and efforts toward a common goal are essential.

The role of private organizations

The role of private organizations is very important in international emergency disaster countermeasures. By utilizing collaborative investment management, it is possible to maximize the effect while reducing costs. By taking advantage of the benefits of sharing resources, integrating expertise, and responding quickly, while overcoming challenges such as difficulty in coordination and securing funds, more effective disaster countermeasures can be realized.

Specific efforts
1. Resource sharing:
- By sharing the resources of countries and organizations, duplicate investments can be avoided and resources can be used efficiently. For example, joint purchase and distribution of relief supplies and medical equipment can be considered.
1. Integration of expertise:
- By bringing together the expertise of each country and organization, more effective measures can be taken. For example, dispatching experts in medical response and infrastructure restoration during disasters.
1. Quick response:
- Collaboration enables quick information sharing and decision-making, which speeds up initial responses when disasters occur. This helps prevent damage from spreading.
Summary

In the global era, international cooperation is essential. By countries working together and working toward a common goal, we can address challenges such as climate change, natural disasters, and conflicts. Private organizations are also required to actively participate in this effort and continue their efforts to build a better future together. International cooperation and working toward a common goal will be the key to building a better future.
The size of the domestic drone business market in 2023 is approximately 385.4 billion yen, an increase of 23.9% from the previous year.03/12/2024

It is predicted to grow by 21.5% to 468.4 billion yen in 2024 and approximately 905.4 billion yen in 2028, with an average annual growth rate of 18.6%.

The drone market is divided into three segments: "aircraft," "services," and "peripheral services," with the service market showing the greatest growth.

(1) The size of the drone business market in 2023 is 385.4 billion yen, an increase of 23.9% from the previous year. https://drone-journal.impress.co.jp/docs/news/1185951.html.

(2) The current state of the drone business in Japan in 2023 and future developments. https://www.jftc.go.jp/cprc/events/bbl/index_files/278th-bbl.pdf.

(3) Yano ICT | Research on the global drone (UAV/UAS) market.... https://www.yanoict.com/summary/show/id/672.

(4) Drone market share, report, forecast, analysis - Mordor Intelligence. https://www.mordorintelligence.com/en/industry-reports/drones-market.
The global drone taxi market is expected to be valued at USD 23 million in 2022, growing robustly during the forecast period, at a CAGR of 9.8% through 2028.03/12/2024

Global Drone Taxi Market:

Forecast to 2030, by End Use and Major Countries/Regions

[Report Introduction]

Drone taxis are expected to become more commercially viable in the future, and the report predicts that the global market size will reach $74 million in 2025 and $860 million in 2030. The report provides market forecast data (in USD) for the global drone taxi market up to 2030. The market is also segmented in various ways, and the report focuses on market forecasts for each segment. The various market segments in this report are market by end use, market by autonomy, market by passenger capacity, market by propulsion type, market by operating range, market by system, and market by major countries/regions. In addition, the report includes analytical information such as the competitive landscape, information on major companies (7 companies), value chain analysis, and five forces analysis, providing a detailed report on the future growth and trends of the drone taxi market.

The global drone taxi market is evolving rapidly, with innovative technological advancements and changing trends in urban transportation driving its growth.
The disaster preparedness systems market has been segmented into: By Type (Emergency and Mass Notification Systems, Monitoring Systems, Safety Management Systems, Earthquake and Earthquake Warning Systems,03/12/2024

Disaster Recovery and Backup Systems, Others); By Solution (Geospatial Solutions, Disaster Recovery Solutions, Situational Awareness Solutions); By Technology (First Response Tools, Satellite Phones, Emergency Response Radars, Vehicle Response Gateways, Others); By End Use (BFSI, Energy and Utilities, Aerospace and Defense, Manufacturing, IT and Telecommunications, Public Sector, Transportation and Logistics, Healthcare, Others)

- Global Opportunity Analysis and Industry Forecast to 2030

The global disaster preparedness systems market size was USD 14.61 billion in 2020. It is expected to grow at a compound annual growth rate (CAGR) of 7.4% during the forecast period 2021-2030, and the global disaster preparedness systems market is expected to reach USD 29.81 billion by 2030.

Disaster Recovery and Backup Systems, Others); By Solution (Geospatial Solutions, Disaster Recovery Solutions, Situational Awareness Solutions); By Technology (First Response Tools, Satellite Phones, Emergency Response Radars, Vehicle Response Gateways, Others); By End Use (BFSI, Energy and Utilities, Aerospace and Defense, Manufacturing, IT and Telecommunications, Public Sector, Transportation and Logistics, Healthcare, Others)

- Global Opportunity Analysis and Industry Forecast to 2030

The global disaster preparedness systems market size was USD 14.61 billion in 2020. It is expected to grow at a compound annual growth rate (CAGR) of 7.4% during the forecast period 2021-2030, and the global disaster preparedness systems market is expected to reach USD 29.81 billion by 2030.
According to a research report on the emergency food market, the market size is expected to reach **US$520.7 billion** by 2030.03/12/2024

In this market, products that provide necessary food in disasters and emergencies are attracting attention and demand is increasing. For details on specific products and companies, we recommend that you refer to the research report.

2024/7/24

(1) Emergency Relief Food Market | Market Size Analysis Review Market Trend Forecast 2029 .... https://www.gii.co.jp/report/qyr1369859-global-emergency-rescue-food-market-insights.html.

(2) Guidelines for the public solicitation of projects for emergency strengthening of fresh food supply chains. https://www.maff.go.jp/j/supply/hozyo/kanbo/attach/pdf/221116_030-1-7.pdf.

(3) Guidelines for the implementation of measures to strengthen the supply chain of fresh food products. https://www.maff.go.jp/j/shokusan/jigyo/attach/pdf/yosan-458.pdf.

(4) Introduction to the initiative | Emergency strengthening of the supply chain of fresh food products... https://www.ofsi.or.jp/spplychain/casestudy/.

(5) Emergency strengthening of the supply chain of fresh food products | Food Flow Organization (Public Interest Incorporated Foundation). https://www.ofsi.or.jp/spplychain/.
The global fire emergency rescue equipment market size is estimated to be approximately $6,094.3 million in 2022 and is expected to reach approximately $7,505.8 million by 2028, growing at a compound annual growth rate (CAGR) of 4.1% during the forecast period.03/12/2024

2024/8/ 13 (1) Fire and Emergency Rescue Equipment Market Size, Share, Growth,

By Type (General.... https://bing.com/search?q=%e4%b8%96%e7%95%8c%e3%81%ae%e7%81%ab%e7%81%bd%e7%b7%8a%e6 %80%a5%e6%95%91%e5%8a%a9%e (2) Firefighting Rescue Tools Market Size and Forecast Analysis [2031]. 2024/8 /13 (1) Fire and Emergency Rescue Equipment Market Size, Share, Growth, By Type (General... https://bing.com/search?q=%e4%b8%96%e7%95%8c%e3%81%ae%e7%81%ab%e7%81%bd%e7%b7%8a%e6 %80%a5%e6%95%91%e5%8a%a9%e6 %a9%9f%e5%99%a8%e5%b8%82%e5%a0%b4%e8%a6%8f%e6%a8 %a1. (2) Fire fighting rescue tools market size and forecast analysis [2031]. https://www.businessresearchinsights.com/jp/market-reports/firefighting-rescue-tools-market-110484. (3) . https://www.liveworksheets.com/w/ko/japanese/7259197.

(4) https://archive-shinsai.yahoo.co.jp. https://archive-shinsai.yahoo.co.jp/. (5) https://www.shicchy.com. https://www.shicchy. com/. (6) https://www.nissei-doboku.com/recruit. https://www.nissei-doboku.com/recruit/. (7) https://bousai-ariake.jp. https://bousai-ariake.jp/. (8) Fire Emergency Rescue Equipment Market Size, Share, Growth, by Type (General... https://www.businessresearchinsights.com/jp/market-reports/fire-emergency-rescue-equipment-market-109190. (9) Fire Emergency Rescue Equipment Market - Growth Forecast, Statistics, Facts to 2031. https://www.theinsightpartners.com/en/reports/fire-emergency-rescue-equipment-market. (10) Global Fire Emergency Rescue Equipment Market Research Report by YH Research.... https://newscast.jp/news /5048847.
The smartphone app market is growing rapidly. The global mobile app development market size is expected to reach approximately US$240.4 billion in 2023 and US$666.1 billion by 2032³. This growth corresponds to a compound annual growth rate (CAGR) of 12.1%³.03/12/2024

The smartphone app market in Japan is also booming, with domestic app MAUs (total monthly active users of surveyed apps) increasing 115% year-on-year and 134% year-on-year in 2021⁵.

Source: Conversation with Copilot, August 13, 2024

(1) Mobile app development market size, share, growth, and forecast to 2032... https://straitsresearch.com/jp/report/mobile-app-development-market.

(2) Overview of the domestic app market and smartphone user situation... https://marketingnative.jp/news143/.

(3) 2023 latest edition: 7 sources of information for understanding the smartphone app market. https://note.fuller-inc.com/n/n71c038475bff.

(4) Smartphone market size, share, and growth | Analysis report [2029]. https://www.fortunebusinessinsights.com/jp/%E6%A5%AD%E7%95%8C-%E3%83%AC%E3%83%9D%E3%83%BC%E3%83%88/%E3%82%B9%E3%83%9E%E3%83%BC%E3%83%88%E3%83%95%E3%82%A9%E3%83%B3%E5%B8%82%E5%A0%B4-100308.

(5) Mobile App Development Market Size, Share, Insights, 2022....
Combining the dexterity of humanoid robots with cutting-edge AI technology allows them to handle a variety of tasks across a wide range of industries, including manufacturing, logistics, warehousing, and retail.03/12/2024

As part of measures to alleviate the worsening labor shortage, the demand for commercial robots is expected to grow even more. According to French market research firm Report Linker, the global humanoid robot market is expected to grow at an average annual rate of 52.8% from 2023 to 2030, reaching $39.6 billion (approximately 5.94 trillion yen).

The market for humanoid robots is growing rapidly. It is expected to grow at an average annual rate of 52.8% from 2023 to 2030, reaching $39.6 billion. ³ It is also projected to reach $13.8 billion by 2028.

This growth is driven by technological advancements and increasing demand for automation. In particular, labor shortages and the need for efficiency are driving the introduction of humanoid robots.

Changes in the market size of robot sales

The market size of the drone business in Japan is expected to reach approximately **$25.9 billion** (9,340 billion yen) by 2028. In 2023, the market size was estimated to be around **$26.2 billion** (3,854 billion yen), showing a significant increase from the previous year.

Source: https://ifr.org/ifr-press-releases/news/global-industrial-robot-sales-doubled-over-the-past-five-years

The graph above shows the data on the number of industrial robots sold worldwide, as stated in the report "World Robotics: Industrial Robots 2017" published by the International Federation of Robotics (IFR).

The number of industrial robots sold worldwide has been growing by an average of 14% every year, and in 2017, the number of industrial robots shipped worldwide reached a record high of 3.81 million units. It is predicted that 6.3 million units will be shipped in 2021.

Welding and painting systems 340.8 billion yen 652.7 billion yen 191.5%

Actuator systems 51.4 billion yen 121.7 billion yen 2.4 times

Assembly and transport systems 78.9 billion yen 233.5 billion yen 3.0 times

Total 1,174 billion yen 2,272.7 billion yen 2.2 times

According to Fuji Keizai, the global market for industrial robots reached 1,174 billion yen in 2019. It is also predicted that the market size will be 2,272.7 billion yen in 2025, and it is clear that it will continue to expand in the future.

In particular, the demand for clean transport systems is expected to increase threefold due to the expected demand for smartphones and semiconductors.

- In Japan, it is expected to reach approximately **6.602 billion USD** (9.7 trillion JPY) by 2035.- Globally, it is projected to grow to approximately **16.78 billion USD** in 2023 and **41.02 billion USD** by 2030.Calculated using current exchange rates (1 USD = 146.93 JPY).
Collaboration Business ZENO AI AGENT is working to provide innovative services that protect the safety and security of our customers by utilizing cutting-edge autonomous AI technology.02/12/2024

In order to further develop this technology and contribute to more people, we are currently considering promoting joint ventures with related companies.

The disaster preparedness systems market has been segmented into: By Type (Emergency and Mass Notification Systems, Monitoring Systems, Safety Management Systems, Earthquake and Earthquake Warning Systems,

Disaster Recovery and Backup Systems, Others); By Solution (Geospatial Solutions, Disaster Recovery Solutions, Situational Awareness Solutions); By Technology (First Response Tools, Satellite Phones, Emergency Response Radars, Vehicle Response Gateways, Others); By End Use (BFSI, Energy and Utilities, Aerospace and Defense, Manufacturing, IT and Telecommunications, Public Sector, Transportation and Logistics, Healthcare, Others)

- Global Opportunity Analysis and Industry Forecast to 2030

The global disaster preparedness systems market size was USD 14.61 billion in 2020. It is expected to grow at a compound annual growth rate (CAGR) of 7.4% during the forecast period 2021-2030, and the global disaster preparedness systems market is expected to reach USD 29.81 billion by 2030.

First, how much is the emergency disaster budget in Japan?

Let's look at the results of a disaster prevention awareness and actual situation survey conducted by JA Zenkyoren to see what disaster prevention measures have been taken so far. In the survey, 85.8% of people answered that they have taken some kind of measure. Looking at the contents of the measures taken, the most common was "checking hazard maps," with 39.6% of people answering that they have done so. This was followed by "stockpiling emergency drinking water" (35.8%), "stockpiling emergency food" (35.2%), "stockpiling daily necessities" (33.6%), "evacuation drills at school" (28.5%), and "non-slip furniture" (28.5%).

According to the results of a survey by Yano Research Institute, the market size of disaster prevention food as a disaster prevention measure was 15.94 billion yen in fiscal 2017. It has continued to grow steadily since then, exceeding 20 billion yen in fiscal 2019 to 23.19 billion yen. It will exceed 30 billion yen in fiscal 2021 to 31.28 billion yen. It can be seen that it has almost doubled in five years. Market growth is expected to slow to 31.91 billion yen in 2026. According to the survey results, the market is expected to reach 105 billion yen in 2021. It is then expected to continue to grow steadily, reaching 153.3 billion yen in 2027. This is an average annual growth rate of 6.5%.

Safety Management Systems, Safety Management Systems, Safety Management Systems, Safety Management Systems By Type (Territorial Spatial Solutions, Disaster Recovery Solutions, Situational Awareness Solutions); By Technology (First Responder Tools, Satellite Phones, Emergency Response Radar, Vehicle Response Gateways, Others); By End Use (BFSI, Energy & Utilities, Air Transportation, Transportation, IT, Transportation, Transportation, Transportation, etc.) - 2021-2030: Global Disaster Management Systems Market Size by Region: 146.10 in 2020, 2021-2030, at a Compound Annual Growth Rate (CAGR) of 7.4%, Global Disaster Management Systems Market Size by Region: 298.1 in 2030, 2021-2030, 2030-2030.
Infectious disease risk safety prediction02/12/2024
The following points are explained about the method of predicting the risk of infectious diseases.

Post-marketing safety measures for drugs:
- This is a system to collect information on health hazards such as side effects and infectious diseases after drugs and medical devices are marketed, and to take appropriate measures.
- The basic pillars of ensuring safety after marketing are as follows.
- Adverse Reaction Reporting System: Suspected cases of adverse reactions are collected from pharmaceutical companies, doctors, pharmacists, and other medical professionals, and evaluated as necessary and necessary measures are implemented.
- Post-marketing surveillance: For new drugs, proper use is encouraged for six months after the launch of sales, and the system for collecting information on adverse reactions is strengthened.
- Reexamination: The efficacy and safety of new drugs are reconfirmed a certain period after the launch.
- Revision of package insert: Approved items are changed and cautions are issued.
Risk Management Plan (RMP):
- The RMP is a document that summarizes consistent risk management from drug development to post-marketing, and is evaluated according to progress. This information is shared with medical professionals to strengthen post-marketing safety measures. ²
Drug and Medical Device Safety Information Reporting System:
- This system allows medical professionals to report information about side effects and infectious diseases caused by the use of drugs and medical devices, and to take appropriate measures. The reported information is analyzed and evaluated, and used for post-marketing safety measures. ³
These measures ensure the safety of drugs after they are marketed.
Purpose of autonomous AI “ZENO” Real-time data analysis: Collect and analyze environmental data such as weather information, sensor data, and SKY Information information in real time. Risk Mitigation: Leverage big data to minimize risk. This includes predicting traffic accidents and optimizing disaster response.02/12/2024

ZENO aims to predict the safety of people, property, goods, etc. and ensure maximum safety. Specifically, it analyzes environmental data in real time to minimize risks and provide people with appropriate guidance.

The reason for ZENO's existence can be summarized as follows:

Real-time data analysis: ZENO collects and analyzes environmental data such as weather information, sensor data, and traffic information in real time.

Risk reduction: Utilizing big data to minimize risks. Examples include predicting traffic accidents and optimizing disaster response.

Ensuring peace of mind and safety: ZENO provides appropriate advice, such as evacuation route information and health management advice, to ensure people's peace of mind and safety.

With the advancement of autonomous AI, systems like ZENO are being used to support human interactions in various fields, such as customer service, entertainment, education, and healthcare.
ZENO AI Implementation Project02/12/2024

1. Project Overview

This project plan outlines the implementation of advanced AI capabilities for the ZENO platform,

including autonomous AI, LLM capabilities, machine learning, real-time data acquisition and

analysis, and natural language processing.

2. Project Timeline

Based on the revised timeline from the previous response, we propose the following schedule

for AI implementation:

1. Project Planning and Requirements Definition (August 1, 2024 - October 31, 2024)

2. Design Phase (November 1, 2024 - January 31, 2025)

3. Development Phase (February 1, 2025 - July 31, 2025)

4. Testing Phase (August 1, 2025 - September 30, 2025)

5. Release Preparation (October 1, 2025 - November 30, 2025)

6. Release and Deployment (December 1, 2025 - December 25, 2025)

7. Maintenance and Support (December 26, 2025 - Ongoing)

3. AI Capabilities Implementation Plan

3.1 Autonomous AI

● Implement reinforcement learning algorithms for automated decision-making

● Develop self-optimizing algorithms for continuous improvement

● Create a modular AI architecture for easy adaptation to new tasks

3.2 LLM Capabilities

● Integration of a state-of-the-art LLM (e.g., GPT-4 or similar)

● Fine-tuning LLM on domain-specific data

● Implement APIs for sentence generation, summarization, and translation

3.3 Machine Learning

● Develop a suite of ML models for classification, regression, and clustering

● Implement feature engineering pipelines ● Create an automated model selection and hyperparameter tuning system
ZENO AI’s system has multi-device support and global language processing.This allows users to access it seamlessly through various devices. Specifically, it supports a wide range of devices, including PCs, smartphones, tablets, and even smart TVs and game consoles.02/12/2024

Basically, information is exchanged in natural language using LLMs (large-scale language models). A large-scale language model is an AI model trained with a large amount of data and has the ability to understand and generate natural language and other content. This allows users to communicate in text and voice, and perform various tasks such as contextual responses, translation, and summarization of text.

In addition, written communication is also possible for those who cannot speak the language. This allows all users to access information and communicate equally.

ZENO AI's system also aims to quickly rescue people from various crises. This enables quick and appropriate response even in emergencies, saving many lives.
Purpose of autonomous AI “ZENO” Real-time data analysis: Collect and analyze environmental data such as weather information, sensor data, and -SKY drone traffic information in real time. Risk Mitigation: Leverage big data to minimize risk.01/12/2024

Drone taxis equipped with autonomous driving navigation systems are attracting attention as the next generation of transportation. Here is an overview:

1. **Navigation Technology**:

- **GPS**: Used to determine the drone's position.

- **IMU (Inertial Measurement Unit)**: Detects the drone's movement and supports stable flight.

- **Barometer**: Measures altitude and enables precise flight¹².

2. **Sensor Technology**:

- **Cameras and Image Recognition**: Used to detect and avoid obstacles.

- **Ultra-Wideband (UWB) Devices**: Provides highly accurate location information.

- **Extended Kalman Filter**: Integrates data from sensors to improve accuracy¹².

3. **AI and Machine Learning**:

- **Route Planning**: Calculates optimal flight paths using AI algorithms.

- **Obstacle Avoidance**: Has the ability to detect and avoid obstacles in real time³.

4. **Experiments and Demonstrations**:

- The performance and reliability of the system are verified through actual flight experiments¹².

With such technological advances, drone taxis are expected to help alleviate traffic congestion in urban areas and become an efficient means of transportation in the future.
. Main Fields and Response Agents The 15 fields of emergency rescue agents are classified as follows, and their respective roles are clarified.01/12/2024

1. **Nature**:

- Risk prediction and support for natural disasters

2. **Economy**:

- Assessment of economic impacts and risk prediction and support

3. **Community**:

- Risk prediction and support for local communities

4. **Food**:

- Risk prediction and support for securing and distributing food supplies

5. **Infectious diseases**:

- Risk prediction and support for preventing and responding to infectious diseases

6. **Accidents**:

- Risk prediction and support for rapid response at accident sites

7. **Aviation**:

- Risk prediction and support for response and rescue after aviation accidents

8. **War**:

- Risk prediction and support for humanitarian assistance in war zones

9. **Transport**:

- Risk prediction and support for response and rescue after traffic accidents

10. **Hospitals**:

- Risk prediction and support for support and coordination of medical facilities

11. **Housing**:

- Risk prediction and support for providing and constructing emergency housing

12. **Drones**:

- Use drones to collect information and predict risks in the delivery of supplies

13. **Delivery**:

- Risk prediction and support for the delivery of emergency supplies

14. **Chemical**:

- Risk prediction and support for chemical disaster response and decontamination

15. **Rescue**:

- Comprehensive rescue operation risk prediction and support
ZENO AI AGENT headquarters platform29/11/2024
1. ZENO AI AUTONOMOUS AGENT control tower construction

•Real-time information collection: Collects information from various sensors and databases in real time. -

•Data analysis and forecasting: Analyze collected data and predict future conditions. -

•Decision making and instructions: Make decisions and give instructions to each agent based on the analysis results. -
- Monitoring and Recording: Records all activities and displays the current status on the monitor.
2. Humanoid robot

●Medical robots**: Support diagnosis and treatment in medical settings. *Care robot*: Provides patient care and support. -

•Rescue robot: Responsible for saving lives at disaster sites.

- Flying Robot: Transport the rescued person to the drone.

- Work robots: Perform infrastructure maintenance and repairs.

3. Drone

•Personnel Transport Drones: Use small, medium, and large drones to transport personnel.

- Emergency Medical Drone: Transports emergency medical supplies.

- Rescue Drone: Drone with elevator to rescue people from heavy rains and floods.

- Intelligence Drones: Gather information using micro-drones and Wi-Fi brokered drones. -

・Information gathering intelligent robot
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ZENO AI AGENT Headquarters Platform Implementation28/11/2024
1. **ZENO AI AUTONOMOUS AGENT Control Tower Construction**

- **Real-time information collection**: Collect information from various sensors and databases in real time.

ollected data and predict future situations.

- **Decision-making and instructions**: Make decisions based on the analysis results and give instructions to each agent.

- **Monitoring and recording**: Record all activities and display the current situation on the monitor.

Main Fields and Response Agents

The 15 fields of emergency rescue agents are classified as follows, and their respective roles are clarified.

1. **Nature**:

- Risk prediction and support for natural disasters

2. **Economy**:

- Assessment of economic impacts and risk prediction and support

3. **Community**:

- Risk prediction and support for local communities

4. **Food**:

- Risk prediction and support for securing and distributing food supplies

5. **Infectious diseases**:

- Risk prediction and support for preventing and responding to infectious diseases

6. **Accidents**:

- Risk prediction and support for rapid response at accident sites.

7. **Aviation**:

- Risk prediction and support for response and rescue after aviation accidents

8. **War**:

- Risk prediction and support for humanitarian assistance in war zones

9. **Transport**:

- Risk prediction and support for response and rescue after traffic accidents

10. **Hospitals**:

- Risk prediction and support for support and coordination of medical facilities

11. **Housing**:

- Risk prediction and support for providing and constructing emergency housing

12. **Drones**:

- Use drones to collect information and predict risks in the delivery of supplies

13. **Delivery**:

- Risk prediction and support for the delivery of emergency supplies

14. **Chemical**:

- Risk prediction and support for chemical disaster response and decontamination

15. **Rescue**:

- Comprehensive rescue operation risk prediction and support

2. **Humanoid robots**

- **Medical robots**: Support diagnosis and treatment in the

- **Data analysis and prediction**: Analyze cmedical field.

- **Nurse robots**: Provide care and support for patients.

- **Rescue robots**: Responsible for saving lives at disaster sites.

- **Flying robots**: Transport rescued people to drones.

- **Working robots**: Implement infrastructure maintenance and repairs.

3. **Drones**

- **Personnel transport drones**: Transport people with small, medium, and large drones.

- **Emergency medical drones**: Transport emergency medical supplies.

- **Rescue Drone**: A drone with an elevator to rescue people from heavy rain and floods.

- **Intelligence Drone**: Collects information using micro drones and Wi-Fi intermediary drones.

- **Delivery Drone**: Delivers groceries and daily necessities.

- **Infrastructure Drone**: Delivers necessary supplies to infrastructure facilities.

災害から命を救う最先端プロジェクトへようこそ

国際緊急災害対策において、コラボレーション投資運営を活用することで、費用を削減しつつ効果を最大限に引き出すことが可能です。資源の共有、専門知識の統合、迅速な対応などの利点を活かしつつ、調整の難しさや資金の確保といった課題を克服することで、より効果的な災害対策が実現できるでしょう。

###コラボレーション投資運営の利点
1. 資源の共有:
  - 各国や組織が持つ資源を共有することで、重複した投資を避け、効率的に資源を活用できます。例えば、救援物資や医療機器の共同購入や配布が考えられます。
2. 専門知識の統合:
  - 各国や組織が持つ専門知識を結集することで、より効果的な対策を講じることができます。例えば、災害時の医療対応やインフラ復旧に関する専門家の派遣が挙げられます。
3. 迅速な対応:
  - コラボレーションにより、迅速な情報共有と意思決定が可能となり、災害発生時の初動対応が迅速化されます。これにより、被害の拡大を防ぐことができます。
###実際の取り組み事例
1. 国際連合の活動:
  - 国際連合は、各国の協力を得て、災害時の緊急支援活動を行っています。例えば、国連人道問題調整事務所（OCHA）は、各国の支援を調整し、迅速な対応を実現しています。
2. 地域協力:
  - アジア太平洋地域では、ASEANが中心となり、災害対策のための協力体制を構築しています。これにより、地域内での迅速な支援が可能となっています。
###コラボレーション投資運営の課題
1. 調整の難しさ:
  - 各国や組織の利害が異なるため、調整が難航することがあります。これを解決するためには、明確なルールと信頼関係の構築が必要です。
2. 資金の確保:
  - コラボレーション投資には多額の資金が必要となるため、資金の確保が課題となります。これには、各国の政府や民間企業からの支援が不可欠です。
災害事業の構成

国際災害（自然災難、人間による災害）を現代最先端技術を用いて対応し解決していくために、次のような組織を総合して力を集結する。

このシステムは、以下のような方法で災害を予測します：

データ収集: 気象データ、地震データ、洪水データなど、様々なソースからリアルタイムでデータを収集します。

機械学習アルゴリズム: 収集したデータを基に、機械学習アルゴリズムを使用してパターンを分析し、災害の発生確率を予測します。

シミュレーション: 予測モデルを使用して、災害が発生した場合の影響をシミュレーションし、リスクを評価します。

通知システム: 予測結果を基に、ユーザーに対して早期警告を発信し、適切な対策を提案します。

このようにして、システムはユーザーが災害に対して事前に準備できるようにサポートします。さらに詳しい情報が必要な場合は、教えてください。
このAIソフトウェアエージェントは、緊急災害や財産リスクを事前に予測し、ユーザーに通知するシステムです。以下の点について詳しく説明します：

予測機能: 緊急災害や個人の生命・財産リスクを事前に予測し、ユーザーに通知します。

リアルタイム対応: 問題解決の方法をリアルタイムで提供し、ユーザーが安全になるまでサポートを続けます。

多様なデバイス対応: 様々なデバイスを通じてユーザーをサポートします。

初期費用: このシステムの導入には1,200万ドルの初期費用がかかります。
このシステムは、ユーザーの安全を確保するための包括的なサポートを提供することを目的としています。

このシステムは特定の地域に適用することが可能です。以下のような方法で地域ごとのカスタマイズが行われます：

地域データの収集: 特定の地域に関連する気象データ、地震データ、洪水データなどを収集します。

地域特有のリスク分析: 収集したデータを基に、その地域特有のリスクを分析します。例えば、地震が多い地域や洪水が頻発する地域など、地域ごとの特性を考慮します。

カスタマイズされた予測モデル: 地域ごとのリスクに対応するために、予測モデルをカスタマイズします。これにより、より精度の高い予測が可能になります。

地域対応の通知システム: 地域ごとのリスクに応じた通知システムを構築し、ユーザーに対して適切な警告や対策を提供します。

### 1. ZENO AI PLATFORM プロジェクト目標

緊急災害に迅速かつ効果的に対応するための総合的なシステムを構築し、人命救助と被害の最小化を目指します。

### 主な15分野と対応エージェント

緊急救助エージェントの 15 分野は以下のように分類され、それぞれの役割が明確化されています。

1.**経済**: 経済的影響の評価と復興支

2. **自然**: 自然災害の予測と対応

3. **コミュニティ**: 地域社会の支援と調整

4. **食料**: 食糧供給の確保と分配

5. **感染症**: 感染症の予防と対応

6. **事故**: 事故現場での迅速な対応

7. **航空**: 航空事故後の対応と救助

8. **戦争**: 戦争地帯での人道支援

9. **輸送**: 交通事故後の対応と救助

10. **病院**: 医療施設の支援と調整

11. **住宅**: 緊急住宅の提供と建設

12. **ドローン**: ドローンを使用して情報収集と物資の配送

13. **配達**:緊急物資の配送

14. **化学**: 化学災害への対応と除染15. **救助**: 総合的な救助活動

15. **救助**: 総合的な救助活動

###自律型 AI「ZENO」の目的

**リアルタイムデータ分析**: 気象情報、センサーデータ、交通情報などの環境データをリアルタイムで収集して分析します。**リスク軽減**: ビッグデータを活用してリスクを最小限に抑えます。

•LLM 自律AIエージェントZENO本部
LLM Autonomous AI Agent ZENO Headquarters

最先端技術を活用した緊急災害対応プラットフォーム
Emergency disaster response platform utilizing cutting-edge technology
**リアルタイムデータ分析**: 気象情報、センサーデータ、交通情報などの環境データをリアルタイムで収集して分析します。**リスク軽減**: ビッグデータを活用してリスクを最小限に抑えます。

主な概要

AI ZENOは、自律型AIでリアルタイムの情報を学習・分析し、人間とリアルタイムに対話できるロボットです。

自然言語を話すロボットとして、情報を論理的に整理して提供するだけでなく、状況を理解して自ら対応します。

AI ZENOはGalaxy-Eyesプラットフォームとして、一般的にはお客様の生命に対するリスクを管理し、お客様が安全で安定した生活を送れるようサポートする役割を担っています。

緊急災害時には、公的機関の枠を超えたきめ細かな内容でお客様を個別にサポートする総合的な個人救援プラットフォームです。

最先端の自律型AIを搭載し、経済的で信頼性が高く、安全で将来性も備えた高品質なサービスを提供するプラットフォームです。

LLM 自律AIエージェントZENO本部

1. 自律型AIソフトウェアエージェント

当社のAIソフトウェアエージェントは、緊急災害や財産リスクを事前に予測し、ユーザーに通知するシステムです。システムは個人の生命や財産のリスクを予測し、リアルタイムで問題解決の方法を提供します。また、ユーザーが安全になるまで、さまざまなデバイスを通じてサポートし続けます。

**ZENO AI AUTONOMOUS AGENT コントロールタワー構築**-

**リアルタイム情報収集**: 各種センサーやデータベースからリアルタイムで情報を収集します。-

**データ分析と予測**: 収集したデータを分析し、将来の状況を予測します。-

**意思決定と指示**: 分析結果に基づいて意思決定を行い、各エージェントに指示を与えます。-

**監視と記録**: すべての活動を記録し、現在の状況をモニターに表示します。

2. **ヒューマノイドロボット**- **

医療ロボット**: 医療現場での診断と治療をサポートします。**看護ロボット**: 患者のケアとサポートを提供します。-

**救助ロボット**: 災害現場で人命救助を担当します。-

**飛行ロボット**: 救助された人をドローンに搬送します。- **作業ロボット**: インフラの保守・修理を実施します。

3. **ドローン**-

**人員輸送ドローン**: 小型、中型、大型のドローンで人を輸送します。

- **緊急医療ドローン**: 緊急医療用品を輸送します。- **救助ドローン**: 大雨や洪水から人を救助するためのエレベーター付きドローンです。- **インテリジェンスドローン**: マイクロドローンとWi-Fi仲介ドローンを使用して情報を収集します。-

**配達ドローン**: 食料品や日用品を配達します。-

**インフラドローン**: インフラ施設に必要な物資を配達します。　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　私たちZENO AI AGENTは、最先端の自律型AI技術を駆使し、顧客の安全と安心を守るための革新的なサービスを提供しております。現在、私たちはこの技術をさらに発展させ、より多くの人々に貢献するために、関連企業との共同事業を進めたいと考えております。

災害時には、個々のニーズに応じた支援を提供し、公的機関の限界を超えた詳細なサポートを行います。このような技術を活用し、貴社と共に新たなビジネスモデルを構築し、社会に貢献できることを心より願っております。

ぜひとも一度お話しさせていただき、具体的なビジネスの仕組みについてご相談させていただければ幸いです。ご多忙のところ恐縮ではございますが、ご連絡をお待ちしております。

何卒よろしくお願い申し上げます。

敬具

ビジネス連絡：autonomous-ai-agent-zeno
Hello world!27/11/2024
ZENO aims to predict the safety of people, property, goods, etc. and ensure maximum safety. Specifically, it analyzes environmental data in real time to minimize risks and provide people with appropriate guidance.

The reason for ZENO's existence can be summarized as follows:

Real-time data analysis: ZENO collects and analyzes environmental data such as weather information, sensor data, and traffic information in real time.

Risk reduction: Utilizing big data to minimize risks. Examples include predicting traffic accidents and optimizing disaster response.

Ensuring peace of mind and safety: ZENO provides appropriate advice to ensure people's peace of mind and safety. This includes information on evacuation routes and advice on health management.

With the advancement of autonomous AI, systems like ZENO are being used to support human interactions in various fields, including customer service, entertainment, education, and healthcare.

Autonomous AI can also be of great help in streamlining business processes and supporting individuals' daily lives.

Purpose of building the autonomous AI "ZENO"

ZENO, an autonomous AI, aims to analyze environmental data in real time, reduce the maximum risk of people and things based on Big Data information, and ensure complete safety. ZENO protects customers and provides necessary guidance. ¹

ZENO's functions are as follows:
1. Real-time data analysis: Collect and analyze environmental data in real time. This includes weather information, sensor data, traffic information, etc.
2. Risk reduction: Utilize Big Data to minimize risks. For example, predict traffic accidents and optimize disaster response.
3. Ensuring peace of mind and safety: ZENO provides appropriate advice to people to ensure peace of mind and safety. For example, evacuation route guidance and health management advice.
ZENO is being used in various fields due to the evolution of autonomous AI. It is used in situations where interaction with people is required, such as customer service, entertainment, education, and healthcare.