# Key Features - Drone Detection and Neutralization > Detects and jams multicopter and suicide drones, and engages targets with gunfire. - Enemy Detection and Fire Support > Identifies personnel and vehicles within range, provides automatic target designation (digital reticle), and coordinates with squad-level weapons. - 360° Surveillance and Reconnaissance > Conducts all-round monitoring of bases and forward positions, deploys ahead in hazardous areas, and transmits real-time video. - Close Support and Resupply > Carries and delivers ammunition, water, and medical supplies to designated locations. # Expected Effects - Reduces soldiers’ combat burden, enhances survivability, and contributes to higher mission success rates. - Strengthens small-unit self-defense capabilities against drone attacks, which are emerging as a key threat in future battlefields.

In collaboration with Hanwha Systems, we developed and optimized a Transformer-based AI model for ship and aircraft detection on embedded platforms. Targeting NVIDIA Jetson Orin AGX, the project utilized the MSAR (640×640) dataset along with large-scale training databases built from public sources. The RT-DETR model, currently under review, was optimized through hardware-friendly design, Int8 quantization, and specialized inference acceleration. As a result, the solution achieved up to 5x faster inference speed while maintaining accuracy, reaching 20% of NVIDIA TensorRT performance. This demonstrates the ability to deliver reliable, real-time detection capabilities in resource-constrained embedded environments, enabling next-generation defense and surveillance applications.

A cost-effective and reliable EO/IR solution designed for unmanned platforms, combining compact design with strong performance. The system integrates QVGA/VGA-class infrared sensors and 2–20 megapixel EO cameras, providing versatile options to meet different operational requirements. o Infrared (IR) Sensor: QVGA/VGA resolution, optimized for detection and recognition in short-to-mid range surveillance o Electro-Optical (EO) Module: 2MP–20MP visible light cameras with high-resolution imaging, adaptable to multiple mission profiles o Design Philosophy: Lightweight, compact, and robust for integration into unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and ground robotics o Key Value: Balances price competitiveness, system reliability, and modular scalability for mass deployment

Marvin Test Solutions, a vertically integrated aerospace test and measurement company, has designed and delivered innovative, feature-rich solutions for the ...

Key Features Revolutionary speed enabled by advanced LFD technology High-resolution and highly accurate prints Compatible with a wide range of resins including functional and engineering materials Dimensions: 390 × 367 × 554 mm Build Volume: 200 × 125 × 210 mm Weight: 18.3 kg Specifications XY Resolution: 25μm Minimum Layer Thickness: 25μm Maximum Print Speed: 100 mm/hr

The high performance of the aerospace industry, in both technical and economic aspects, is due in part to its control over the supply chain and its quality throughout the value chain (from the buyer to the SME providers). For GIFAS, it is imperative to continue in this way to keep the industry competitive.

Machine vision system Factory automation Medical imaging systems Robot eyes

NVIDIA IGX is a cutting-edge AI platform delivering high-performance, secure, and reliable computing. Built on autonomous-driving expertise, it supports industrial automation and medical devices, with PCIe expansion for extra vision inputs and full-stack enterprise-grade software and long-term support.