planning

System Architecture Design

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Linked challenge: Real-time C-UAS Threat Assessment & Countermeasure Planning with Claude 3.5 Haiku

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Linked challenge

Real-time C-UAS Threat Assessment & Countermeasure Planning with Claude 3.5 Haiku

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Design a high-level architecture for the real-time C-UAS system. Detail the sensor input interfaces (e.g., simulated radar, EO/IR camera, acoustic array), the data fusion pipeline, the role of Marvin for structured data extraction, Browserless for external data, and how Claude 3.5 Haiku will be integrated for threat assessment and recommendation generation. Specify data flow and communication protocols between components. Consider scalability and real-time performance.

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Linked challenge

Real-time C-UAS Threat Assessment & Countermeasure Planning with Claude 3.5 Haiku

The proliferation of small Unmanned Aerial Systems (UAS) presents significant security challenges. This challenge focuses on building a sophisticated Counter-UAS (C-UAS) system capable of autonomously detecting, identifying, and recommending appropriate countermeasures in real-time. Leveraging multi-modal sensor inputs (e.g., radar, optical, acoustic), participants will develop a robust data fusion pipeline. The core innovation lies in integrating Claude 3.5 Haiku via Marvin for structured data extraction and intelligent threat assessment, alongside Browserless for dynamic external data fetching. The system must analyze real-time sensor streams, identify potential drone threats, extract critical attributes like type, velocity, and payload, and then synthesize this information with contextual data (e.g., geofencing rules, environmental conditions, rules of engagement). Based on this comprehensive understanding, the system will use the LLM to provide actionable, prioritized countermeasure recommendations (e.g., soft kill jamming, kinetic interception, alert generation) that balance effectiveness with minimizing collateral damage.

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