🇨🇳 China set to deploy drone 'mothership' capable of launching 100 small drones
China is preparing to begin test flights of its new unmanned drone carrier Jiutian, designed to carry and deploy up to 100 small drones for coordinated swarm attacks — posing new challenges to Japan and other defense forces in the region.
📌 Jiutian was unveiled at a Chinese airshow last November and is being developed by AVIC, the country’s largest aircraft manufacturer.
📊 Key specifications:
- Wingspan: 25 meters
- Payload capacity: 6 metric tons
- Range: 7,000 km
- Flight endurance: up to 12 hours
- Armament: loitering munitions (suicide drones), 1,000-kg guided bombs, air-to-air, air-to-surface, and air-to-ship missiles
🤖 The drone uses radar to detect targets and can coordinate swarms of AI-powered drones for complex attacks.
https://archive.md/KNchS
China is preparing to begin test flights of its new unmanned drone carrier Jiutian, designed to carry and deploy up to 100 small drones for coordinated swarm attacks — posing new challenges to Japan and other defense forces in the region.
📌 Jiutian was unveiled at a Chinese airshow last November and is being developed by AVIC, the country’s largest aircraft manufacturer.
📊 Key specifications:
- Wingspan: 25 meters
- Payload capacity: 6 metric tons
- Range: 7,000 km
- Flight endurance: up to 12 hours
- Armament: loitering munitions (suicide drones), 1,000-kg guided bombs, air-to-air, air-to-surface, and air-to-ship missiles
🤖 The drone uses radar to detect targets and can coordinate swarms of AI-powered drones for complex attacks.
https://archive.md/KNchS
archive.md
China set to deploy drone 'mothership' that can carry 100 small drone…
archived 26 Jun 2025 21:08:17 UTC
🇨🇳 China’s new drone ‘mothership’ — Jiutian (Nine Heavens)
China is on the verge of deploying a powerful new drone carrier — Jiutian, capable of carrying up to 100 small drones for coordinated swarm attacks. Tech and military experts warn this development poses a strategic challenge to regional powers like Japan.
🛰 Key Features
Wingspan: 25 m | Payload: 6 tonnes
Range: ~7,000 km | Endurance: up to 12 hours
Armament capacity:
- Loitering munitions (“suicide drones”)
- 1,000 kg guided bombs
- A2A, A2G, A2S missiles
- Employs radar for target detection and an AI-driven control system for swarm coordination
https://youtu.be/0zkOlOel7FA
China is on the verge of deploying a powerful new drone carrier — Jiutian, capable of carrying up to 100 small drones for coordinated swarm attacks. Tech and military experts warn this development poses a strategic challenge to regional powers like Japan.
🛰 Key Features
Wingspan: 25 m | Payload: 6 tonnes
Range: ~7,000 km | Endurance: up to 12 hours
Armament capacity:
- Loitering munitions (“suicide drones”)
- 1,000 kg guided bombs
- A2A, A2G, A2S missiles
- Employs radar for target detection and an AI-driven control system for swarm coordination
https://youtu.be/0zkOlOel7FA
YouTube
China’s Giant Drone Mothership Is Changing The Fate of War Forever
Forget everything you know about war. In 2025, a single aircraft or submarine can unleash drone swarms that strike without warning, guided by AI and impossible to stop.
For copyright matters please contact us at: contact@4evergreen.org
For copyright matters please contact us at: contact@4evergreen.org
✈️ Revealed: The 16 Largest Planes To Ever Take To The Skies
Whether you're an aviation enthusiast or just curious about incredible engineering, the world's largest aircraft are sure to amaze. From the massive wooden seaplanes of the 1940s to today’s giants supporting space exploration, these aircraft redefine what’s possible in aviation.
📌 In this fascinating feature, you’ll discover:
✅ The legendary Hughes H-4 Hercules (Spruce Goose)
✅ The space-launch platform Stratolaunch Roc
✅ Cargo kings like the Antonov An-225 Mriya
✅ And many more giants ranked by wingspan — from the smallest of the big to the true behemoths.
💡 Fun fact: The largest wingspan ever? Over 117 meters (Stratolaunch Roc)!
🔗 Check out the full gallery and stories behind these engineering marvels:
Revealed: The 16 Largest Planes To Ever Take To The Skies
🏷 Suggested hashtags
#Aviation #Aircraft #Engineering #Stratolaunch #Antonov #HughesHercules #SpaceTravel #Aerospace #LargestPlanes #AviationHistory
https://img-s-msn-com.akamaized.net/tenant/amp/entityid/AA1GFkto.img?w=800&h=435&q=60&m=2&f=jpg
Whether you're an aviation enthusiast or just curious about incredible engineering, the world's largest aircraft are sure to amaze. From the massive wooden seaplanes of the 1940s to today’s giants supporting space exploration, these aircraft redefine what’s possible in aviation.
📌 In this fascinating feature, you’ll discover:
✅ The legendary Hughes H-4 Hercules (Spruce Goose)
✅ The space-launch platform Stratolaunch Roc
✅ Cargo kings like the Antonov An-225 Mriya
✅ And many more giants ranked by wingspan — from the smallest of the big to the true behemoths.
💡 Fun fact: The largest wingspan ever? Over 117 meters (Stratolaunch Roc)!
🔗 Check out the full gallery and stories behind these engineering marvels:
Revealed: The 16 Largest Planes To Ever Take To The Skies
🏷 Suggested hashtags
#Aviation #Aircraft #Engineering #Stratolaunch #Antonov #HughesHercules #SpaceTravel #Aerospace #LargestPlanes #AviationHistory
https://img-s-msn-com.akamaized.net/tenant/amp/entityid/AA1GFkto.img?w=800&h=435&q=60&m=2&f=jpg
🇪🇺 European Industry Giants Betting Big on AI
Audi, Siemens, and Bosch are racing to lead the industrial AI market.
🔹 Audi already uses AI to analyze welding seams in real time, detect defects, and guide workers in fixing them. Soon, robots will autonomously remove welding “splashes,” boosting speed and quality.
🔹 Siemens is building a groundbreaking industrial foundation AI model that integrates technical drawings, robot data, and production line metrics into one system. It will predict breakdowns, optimize logistics, and accelerate product launches — with data-sharing partnerships already underway.
🔹 Bosch focuses on autonomous decision-making systems that solve production issues instantly. If equipment fails, AI draws on global plant experience, analyzes manuals, and delivers a rapid fix — reducing costs and elevating service.
#FlyScope #AI #Industry40 #SmartManufacturing #EuropeAI
Audi, Siemens, and Bosch are racing to lead the industrial AI market.
🔹 Audi already uses AI to analyze welding seams in real time, detect defects, and guide workers in fixing them. Soon, robots will autonomously remove welding “splashes,” boosting speed and quality.
🔹 Siemens is building a groundbreaking industrial foundation AI model that integrates technical drawings, robot data, and production line metrics into one system. It will predict breakdowns, optimize logistics, and accelerate product launches — with data-sharing partnerships already underway.
🔹 Bosch focuses on autonomous decision-making systems that solve production issues instantly. If equipment fails, AI draws on global plant experience, analyzes manuals, and delivers a rapid fix — reducing costs and elevating service.
#FlyScope #AI #Industry40 #SmartManufacturing #EuropeAI
🚁 Curious Drone of the Week — by Cleo Robotics.
Meet the new Dronut DD1, an upgraded version of the earlier Dronut X1 platform.
The main highlight: a compact drone with a fully enclosed propeller, designed specifically for indoor operations.
Specs:
Weight — 520 g
Horizontal speed — up to 4 m/s
Vertical speed — up to 2 m/s
Operating temperature — from -20°C to +40°C
Control range — up to 3.5 km
Flight time — only 15 minutes
Features:
AI-based navigation and precise indoor positioning
Reduced acoustic signature (much quieter in flight)
Improved stability in confined environments
Equipped with three cameras (including 4K) + 3D LiDAR
👉 In short: the Dronut DD1 is purpose-built for industrial inspections, warehouses, and indoor facilities where traditional drones can’t safely operate.
Meet the new Dronut DD1, an upgraded version of the earlier Dronut X1 platform.
The main highlight: a compact drone with a fully enclosed propeller, designed specifically for indoor operations.
Specs:
Weight — 520 g
Horizontal speed — up to 4 m/s
Vertical speed — up to 2 m/s
Operating temperature — from -20°C to +40°C
Control range — up to 3.5 km
Flight time — only 15 minutes
Features:
AI-based navigation and precise indoor positioning
Reduced acoustic signature (much quieter in flight)
Improved stability in confined environments
Equipped with three cameras (including 4K) + 3D LiDAR
👉 In short: the Dronut DD1 is purpose-built for industrial inspections, warehouses, and indoor facilities where traditional drones can’t safely operate.
🚀 Urban Air Mobility is getting real!
At Expo 2030 Riyadh, Austrian startup FlyNow will deploy a whole fleet of compact eCopters — autonomous electric air taxis designed for short-distance transport inside the Expo city.
Range: 50 km electric (up to 200 km hybrid)
Speed: up to 130 km/h
Designed as single- or two-seater pods with fully autonomous navigation
And yes — they already showed it in action!
🎥 Watch the video here: https://www.youtube.com/watch?v=agnc7mHC-L8
FlyNow eCopter — the tiny heli that can change urban transport forever.
At Expo 2030 Riyadh, Austrian startup FlyNow will deploy a whole fleet of compact eCopters — autonomous electric air taxis designed for short-distance transport inside the Expo city.
Range: 50 km electric (up to 200 km hybrid)
Speed: up to 130 km/h
Designed as single- or two-seater pods with fully autonomous navigation
And yes — they already showed it in action!
🎥 Watch the video here: https://www.youtube.com/watch?v=agnc7mHC-L8
FlyNow eCopter — the tiny heli that can change urban transport forever.
YouTube
FlyNow eCopter: Meet the future of mobility.
FlyNow eCopter is a next-generation air taxi: clean, efficient, and built for the skies of tomorrow.
More than a prototype – watch our first untethered flight test, a major milestone toward sustainable urban air mobility.
Learn more & follow us:
🌐 Website…
More than a prototype – watch our first untethered flight test, a major milestone toward sustainable urban air mobility.
Learn more & follow us:
🌐 Website…
🛸 FCNN Navigation for Nano-Drones
A team of researchers has developed a fully convolutional neural network (FCNN) that allows nano-drones to navigate and estimate their relative positions without GPS, maps, or heavy onboard computing.
✅ Runs on low-power SoC (GAP8)
✅ Works with low-resolution onboard cameras
✅ Improves horizontal accuracy from 32% → 47%
✅ Improves vertical accuracy from 18% → 55%
✅ Reduces tracking error by 37%
This breakthrough enables swarms of nano-drones to fly autonomously, avoid obstacles, and operate longer on a single battery charge — all with ultra-light hardware.
🎥 Watch the demo: https://youtu.be/wMFYnv8UE80
A team of researchers has developed a fully convolutional neural network (FCNN) that allows nano-drones to navigate and estimate their relative positions without GPS, maps, or heavy onboard computing.
✅ Runs on low-power SoC (GAP8)
✅ Works with low-resolution onboard cameras
✅ Improves horizontal accuracy from 32% → 47%
✅ Improves vertical accuracy from 18% → 55%
✅ Reduces tracking error by 37%
This breakthrough enables swarms of nano-drones to fly autonomously, avoid obstacles, and operate longer on a single battery charge — all with ultra-light hardware.
🎥 Watch the demo: https://youtu.be/wMFYnv8UE80
YouTube
High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard FCNN
Title: High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard Fully Convolutional Networks
Authors: Luca Crupi, Alessandro Giusti, and Daniele Palossi
in Proceedings of ICRA'24.
Authors: Luca Crupi, Alessandro Giusti, and Daniele Palossi
in Proceedings of ICRA'24.
🚀 China launches 16,000 drones simultaneously — a world record and a glimpse into the future
China just staged the world’s largest drone show: up to 16,000 UAVs flew in perfect synchronization, forming massive 3D light formations in the night sky.
Even if the official Guinness record stands at 11,787 drones, this event marks a new era — where autonomous systems operate as one collective intelligence.
⚙️ Behind this spectacle lies cutting-edge coordination: mesh networks, millisecond synchronization, and swarm-control AI algorithms.
What today looks like entertainment is tomorrow’s U-Space infrastructure — fleets of drones cleaning streetlights, inspecting bridges, and monitoring solar panels with zero downtime.
🛰 FlyScope builds this reality now.
Clean. Inspect. Maintain.
👉 flyscope.dev
https://youtu.be/VwSABU-eegw
China just staged the world’s largest drone show: up to 16,000 UAVs flew in perfect synchronization, forming massive 3D light formations in the night sky.
Even if the official Guinness record stands at 11,787 drones, this event marks a new era — where autonomous systems operate as one collective intelligence.
⚙️ Behind this spectacle lies cutting-edge coordination: mesh networks, millisecond synchronization, and swarm-control AI algorithms.
What today looks like entertainment is tomorrow’s U-Space infrastructure — fleets of drones cleaning streetlights, inspecting bridges, and monitoring solar panels with zero downtime.
🛰 FlyScope builds this reality now.
Clean. Inspect. Maintain.
👉 flyscope.dev
https://youtu.be/VwSABU-eegw
YouTube
Chongqing's Drone Light Show Shatters Guinness World Record
A stunning drone light show in southwest China's Chongqing Municipality on Tuesday night successfully clinched the Guinness World Record for the aerial image formed by most drones.
The record-breaking technological and artistic display, titled "Charming…
The record-breaking technological and artistic display, titled "Charming…
Toyota unveils Walk Me — an AI-powered robotic stool with autonomy
Autonomous mobility is no longer just about cars. Toyota introduced Walk Me, a compact personal mobility device that can navigate and assist users on its own — no wheelchair or caregiver required.
What it can do:
• follow the user autonomously
• drive to a destination on command
• climb stairs and handle uneven surfaces
• detect obstacles and keep perfect balance
• respond to voice commands like “faster” or “kitchen”
Tech inside:
— LiDAR + computer vision for navigation
— weight sensors for user centering
— auto-stabilization system
— fully autonomous mode available
🔋 Battery: designed to last a full day.
Who is it for?
Originally intended for people with reduced mobility, Walk Me represents a bigger shift toward personal robotics, where AI takes over navigation, safety and real-world mobility tasks.
FlyScope is tracking the evolution of autonomous mobility — from smart city drones to everyday robotic assistants.
Stay tuned to see where the future moves next 🚀
🔗 https://youtu.be/OJ4csPiMHyI
Autonomous mobility is no longer just about cars. Toyota introduced Walk Me, a compact personal mobility device that can navigate and assist users on its own — no wheelchair or caregiver required.
What it can do:
• follow the user autonomously
• drive to a destination on command
• climb stairs and handle uneven surfaces
• detect obstacles and keep perfect balance
• respond to voice commands like “faster” or “kitchen”
Tech inside:
— LiDAR + computer vision for navigation
— weight sensors for user centering
— auto-stabilization system
— fully autonomous mode available
🔋 Battery: designed to last a full day.
Who is it for?
Originally intended for people with reduced mobility, Walk Me represents a bigger shift toward personal robotics, where AI takes over navigation, safety and real-world mobility tasks.
FlyScope is tracking the evolution of autonomous mobility — from smart city drones to everyday robotic assistants.
Stay tuned to see where the future moves next 🚀
🔗 https://youtu.be/OJ4csPiMHyI
YouTube
Toyota’s WALK ME - The Walking Robot Chair That Climbs Stairs and Redefines Mobility!
https://robophil.com/
https://www.toyota-europe.com/innovation/mobility-solutions/robotics
Toyota’s WALK ME: The Walking Robot Chair That Climbs Stairs and Redefines Mobility! 🚀
Imagine this — a chair that doesn’t roll, but walks. Toyota’s unveiled Walk…
https://www.toyota-europe.com/innovation/mobility-solutions/robotics
Toyota’s WALK ME: The Walking Robot Chair That Climbs Stairs and Redefines Mobility! 🚀
Imagine this — a chair that doesn’t roll, but walks. Toyota’s unveiled Walk…
🎄 Happy New Year from the FlyScope Team!
The past year has been a year of growth, engineering breakthroughs, and real-world innovation. We worked on making drones smarter, data more precise, and AI technologies truly valuable for urban and infrastructure applications.
🚀 In the year ahead, we wish you:
- bold ideas and scalable innovation,
- accurate data and strong algorithms,
- reliable partnerships and sustainable projects,
- engineering clarity and real-world impact.
Thank you to our partners, clients, and team for your trust and collaboration.
Let’s move forward together — toward smarter cities and intelligent infrastructure.
Your FlyScope.dev
The past year has been a year of growth, engineering breakthroughs, and real-world innovation. We worked on making drones smarter, data more precise, and AI technologies truly valuable for urban and infrastructure applications.
🚀 In the year ahead, we wish you:
- bold ideas and scalable innovation,
- accurate data and strong algorithms,
- reliable partnerships and sustainable projects,
- engineering clarity and real-world impact.
Thank you to our partners, clients, and team for your trust and collaboration.
Let’s move forward together — toward smarter cities and intelligent infrastructure.
Your FlyScope.dev
👍2🔥1🎉1
AI-powered drone-based computer vision systems for infrastructure inspection in the EU — overview
This article explores the practical application of AI-powered drones and computer vision systems in the European Union for urban infrastructure inspection and maintenance. The focus is on how drone-based AI platforms address key EU challenges such as aging infrastructure, rising operational costs, workforce shortages, and increasingly strict safety and sustainability requirements.
The analysis demonstrates how the combination of drones, high-resolution visual data acquisition, and AI algorithms enables a shift from traditional manual and reactive inspection methods to preventive and predictive maintenance models, which are particularly relevant for European cities with dense urban environments and complex regulatory frameworks.
Special attention is given to EU regulatory and ESG considerations. Drone-based inspection significantly reduces risks for personnel working at height, minimizes the need for heavy equipment, and lowers the overall carbon footprint of inspection activities — directly aligning with EU Green Deal objectives and sustainable urban development policies.
The article highlights that, within the EU context, AI-powered drone solutions are not standalone tools but integral components of Smart City ecosystems, designed to integrate with digital twins, asset management systems, and municipal data platforms. This approach enables scalable deployment across cities, regions, and EU member states.
The material is particularly relevant for EU municipalities, infrastructure operators, regulators, and investors, as it demonstrates real-world applicability of drone and AI technologies under European legal, operational, and compliance constraints.
Original source
This article explores the practical application of AI-powered drones and computer vision systems in the European Union for urban infrastructure inspection and maintenance. The focus is on how drone-based AI platforms address key EU challenges such as aging infrastructure, rising operational costs, workforce shortages, and increasingly strict safety and sustainability requirements.
The analysis demonstrates how the combination of drones, high-resolution visual data acquisition, and AI algorithms enables a shift from traditional manual and reactive inspection methods to preventive and predictive maintenance models, which are particularly relevant for European cities with dense urban environments and complex regulatory frameworks.
Special attention is given to EU regulatory and ESG considerations. Drone-based inspection significantly reduces risks for personnel working at height, minimizes the need for heavy equipment, and lowers the overall carbon footprint of inspection activities — directly aligning with EU Green Deal objectives and sustainable urban development policies.
The article highlights that, within the EU context, AI-powered drone solutions are not standalone tools but integral components of Smart City ecosystems, designed to integrate with digital twins, asset management systems, and municipal data platforms. This approach enables scalable deployment across cities, regions, and EU member states.
The material is particularly relevant for EU municipalities, infrastructure operators, regulators, and investors, as it demonstrates real-world applicability of drone and AI technologies under European legal, operational, and compliance constraints.
Original source
❤1🔥1🤝1
Drone platforms for smart cities as a tool for preventive maintenance of urban infrastructure — overview
This article examines the role of drone platforms in smart cities as a key tool for preventive maintenance of urban infrastructure, with a strong focus on the European Union context. Drones are presented not as standalone technologies, but as integral components of digital urban ecosystems, integrated with asset management systems, data platforms, and smart city services.
The analysis highlights that traditional infrastructure maintenance in many European cities remains largely reactive, with issues addressed only after failures or visible damage occur. Drone platforms enable a shift toward preventive monitoring through regular, automated inspections of street lighting, poles, bridges, building façades, and other urban assets.
Special attention is given to cost efficiency, safety, and sustainability. By reducing the need for manual inspections, work at height, and heavy machinery, drone-based approaches significantly lower operational risks and costs — a critical factor for densely built EU cities. These benefits align directly with EU requirements related to occupational safety, environmental sustainability, and carbon footprint reduction.
The article emphasizes that, within the EU, drone platforms must be deployed in compliance with regulatory frameworks and as part of a long-term smart city and digital infrastructure strategy, rather than as isolated pilot projects. In this context, drones become a strategic enabler for more resilient, efficient, and data-driven urban infrastructure management.
Original source:
Drone platforms for Smart Cities as a tool for preventive maintenance of Urban Infrastructure in the EU.
This article examines the role of drone platforms in smart cities as a key tool for preventive maintenance of urban infrastructure, with a strong focus on the European Union context. Drones are presented not as standalone technologies, but as integral components of digital urban ecosystems, integrated with asset management systems, data platforms, and smart city services.
The analysis highlights that traditional infrastructure maintenance in many European cities remains largely reactive, with issues addressed only after failures or visible damage occur. Drone platforms enable a shift toward preventive monitoring through regular, automated inspections of street lighting, poles, bridges, building façades, and other urban assets.
Special attention is given to cost efficiency, safety, and sustainability. By reducing the need for manual inspections, work at height, and heavy machinery, drone-based approaches significantly lower operational risks and costs — a critical factor for densely built EU cities. These benefits align directly with EU requirements related to occupational safety, environmental sustainability, and carbon footprint reduction.
The article emphasizes that, within the EU, drone platforms must be deployed in compliance with regulatory frameworks and as part of a long-term smart city and digital infrastructure strategy, rather than as isolated pilot projects. In this context, drones become a strategic enabler for more resilient, efficient, and data-driven urban infrastructure management.
Original source:
Drone platforms for Smart Cities as a tool for preventive maintenance of Urban Infrastructure in the EU.
👍2🔥1👏1
🚀 Defense Tech Goes Public: Autonomous Drone Software Enters the IPO Stage
A drone software startup developing autonomous combat drone systems has filed for an IPO in the United States and appointed Erik Prince, founder of Blackwater, as non-executive Chairman of the Board.
The company previously raised $15 million from U.S. venture funds to advance:
🔘 swarm coordination algorithms
🔘 resilient communications in contested environments
🔘 real-time data processing and battlefield AI
What this signals to the market:
🔘 Defense tech is becoming a mainstream investment sector
🔘 Autonomy and AI are the primary valuation drivers
🔘 Swarm intelligence and software orchestration are reshaping drone architecture
For the industry, the message is clear: the future of drones is not hardware alone — it’s software, autonomy, and data control.
A drone software startup developing autonomous combat drone systems has filed for an IPO in the United States and appointed Erik Prince, founder of Blackwater, as non-executive Chairman of the Board.
The company previously raised $15 million from U.S. venture funds to advance:
What this signals to the market:
For the industry, the message is clear: the future of drones is not hardware alone — it’s software, autonomy, and data control.
Please open Telegram to view this post
VIEW IN TELEGRAM
👏2❤1🔥1