Armada

Armada uses autonomous drone fleets for efficient disaster triage planning and critical supply delivery.

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  • Hungary

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  • 2. Unmanned Drone Applications for Defence & Security Operations

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Description

💎 Idea

Tell us about your idea here. Explain the problem and how you're going to solve it.

In moments of crisis like earthquakes, tsunamis, floods, and conflicts, the lack of timely information and resources can lead to unnecessary civilian casualties. Armada revolutionizes disaster response by deploying an organized, automated drone system that delivers real-time updates on civilian locations and conditions, triages patients using this data, and ensures the rapid delivery of essential supplies to those in need.

Armada's fleet includes two specialized drone types: multisensor reconnaissance drones for precise situational awareness and carrier drones for delivering critical supplies. By leveraging data from Copernicus, Armada dynamically zones and prioritizes disaster sites based on urgency, streamlining life-saving operations. Even our basic recon drones come equipped with cutting-edge infrared and LiDAR sensors, ensuring accurate land surveillance.

Our system is modular and fully customizable, tailored to specific needs such as sensor types, drone capabilities, and fleet size. Compact container housing makes the drone fleet easily transportable by air, land, or sea. Deployment is effortless—just a push of a button—and our integrated AI handles the rest. Recon drones autonomously assess the area, locate survivors, and identify areas of interest, while carrier drones follow with critical supplies like medical kits and rescue equipment.

Armada is designed for efficiency, adaptability, and speed—delivering hope when it's needed most.

🛰️ EU space technologies

Highlight the data, information or signals you are using/intend to use in your idea. Include some information on how this brings value to your idea

Our solution leverages satellite imagery from the Copernicus Rapid Mapping system to enhance disaster response precision. By analyzing these images, our system accurately identifies affected areas, significantly improving the effectiveness of the initial scouting phase.

Our AI goes further by integrating weather patterns and earth surveillance data, enabling predictive analysis based on satellite inputs. This advanced capability informs and optimizes our triage algorithm, ensuring smarter, faster, and more targeted disaster response actions.

🛰️ EU Space for Defence and Security

Which of the 3 challenges are you solving, and how does this contribute to support the EU Defence and Security ecosystem?

We are addressing challenge #2, focusing on unmanned drone applications for defense and security operations. Our solution improves surveillance, reconnaissance, and logistics by deploying autonomous drones with advanced sensors and AI-driven analytics. 

These drones enhance EU defense by providing real-time situational awareness, reducing human risk, and ensuring reliable communication via mesh networks, even in contested areas. Mesh networks are essential for drone operations in contested areas because they allow drones to communicate directly with each other, bypassing the need for a central communication hub in case of signal jamming, GPS disruption, or environmental interference. This ensures continuous data transfer and mission coordination, making the operation more resilient and reliable in challenging conditions. This contributes to the EU's ability to safeguard borders, respond to crises, and support complex missions.

🤼 Team

Tell us who is in your team, what role they have (e.g. coder/designer), and a 1-2 sentence bio.

We are a team of four university students united by our passion for innovation at the intersection of human sciences and technology. With diverse skills and a collaborative spirit, we combine our academic knowledge and creative problem-solving to develop impactful solutions that address real-world challenges.

Viktória Rácz - Human Physiology, Marketing Design

Anna Schleier - Artificial Intelligence, Bioinformatics

István Sára - IT Engineer

Maximilian Poku - Molecular Bionics, Team Leader ([email protected])

Resources used

  • Copernicus Rapid Mapping Activation Viewer (https://rapidmapping.emergency.copernicus.eu/)
  • ChatGPT for image generation and copywriting (https://openai.com/chatgpt/overview/)
  • 3d models:
    • Residential buildings (https://free3d.com/3d-model/array-house-example-3033.html)
    • Drone (https://www.turbosquid.com/3d-models/mini-drone-1955381)
    • Human (https://free3d.com/3d-model/rigged-male-human-442626.html)
  • Drone image (https://pt.pngtree.com/freepng/drone-silhouette-vector_8781682.html)
  • Canva for presentation (canva.com)

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