The proliferation of commercial and military-grade drones presents a growing threat to critical infrastructure, military installations, and sensitive areas. As drone technology advances in autonomy, maneuverability, and payload capabilities, traditional air defense systems struggle to detect, track, and neutralize these small and agile threats. This article outlines a modular and effective Anti-Drone System that leverages four key components: EO/IR sensors, GPU-based AI computing, rugged military-grade displays, and a C2 system integrated with fire control. Together, these components enable real-time detection, classification, tracking, and neutralization of drone threats.

A GPU- and FPGA-powered Military Laptop acts as a high-performance, portable computing node for modern battlefield operations. By combining CPU, GPU, FPGA, and SFP technologies, it delivers the processing power required for advanced applications such as anti-drone defense, tactical networking, C4ISR, and spectrum analysis. Built for demanding workloads, these systems support over 10,000 CUDA GPU cores with FPGA acceleration for real-time spectrum analysis, while offering 3G-SDI input and 10G SFP+ connectivity to enable tactical EO/IR operations.

Unmanned Surface Vehicles (USVs) are rapidly evolving from remotely operated platforms into fully autonomous, multi-sensor, AI-enabled naval assets. Modern USVs ingest and process massive volumes of real-time sensor data, execute COLREGS-compliant autonomous navigation, operate in contested electromagnetic environments, and seamlessly coordinate with unmanned air, ground, and maritime systems as part of joint and coalition operations.