Shell : Silicone Rubber(Black) solderless terminal : KS D 5202, C5210R1/2H Rope : Nylon code(Black) Terminal : STS304(Black)

The most modern and capable airborne surveillance solution available in the market today, GlobalEye is a true multi-domain Airborne Early Warning & Control (AEW&C) solution. With its mix of modern active and passive sensors, it provides long-range, early detection and identification of objects in air, at sea and over land from a single platform and also can provide real-time information to units in the Air Force, Army and Navy. This enables situational awareness of the surrounding areas and early detection of threats.

- Within the aircraft exterior inspection system, data aggregation and transmission are provided. - Data collection and storage via the server are provided. - User authentication and other system management are provided. - User interfaces are provided for administrators.

- When flying in information, azimuth information about the attitude and position of the lead aircraft is provided to pilots of surrounding aircraft in the formation - Light Intensity : 6 cd (Beam Spread : 60) - NVIS Green A/IR per MIL-STD-3009

InspecX is a next-generation autonomous swarm inspection system for aircraft. It is addressing challenges in the $100B global aviation maintenance market. Airlines face a shortage of certified technicians, with Boeing projecting demand for over 700,000 by 2044. Aircraft-on-ground (AOG) incidents cost $10,000–$150,000 per hour, making downtime reduction critical. InspecX uses swarm coordination and LiDAR-based SLAM to perform safe inspections in GNSS-denied or indoor environments. It reduces required technicians from 9 to 3 and inspection time from 10 hours to 3, achieving over 50% cost savings for large aircraft. Beyond efficiency, InspecX helps airlines avoid AOG losses, accelerates maintenance cycles, and improves airworthiness. By maximizing fleet readiness and ensuring reliable operations, it provides a scalable, future-proof solution. InspecX is positioned to become the new global standard for aviation safety and maintenance in the era of intelligent mobility.

The Nokia 5G Banshee Flex Radio introduces commercial waveforms and modern capabilities for battlefield communications for the first time by integrating multiple cutting-edge networking technologies into a single platform. Designed with modular network components for maximum flexibility, the Banshee Flex Radio delivers unparalleled 5G throughput with 100MHz carriers and extreme operational range with multiple power options. With the ability to operate over a private dual 5G/LTE band network, the Banshee Flex Radio gives warfighters multiple networks for secure, resilient and redundant, high-performance communications. Modularity makes the Banshee Flex Radio configurable for any Area of Operation (AOR)—ensuring teams stay connected, informed, and agile in a contested environment.

Solution Overview EagleEye is a a synthetic data generation & management platform for AI training that integrates image generation, LLMOps, and MLOps. It automates high‑quality dataset generation, labeling, and model validation—and has been certified “military suitable” and delivered first to the ROK Army AI Center. Main Features Image generation with text/image prompts; object/background customization LLMOps: prompt understanding + image–text labeling workflow MLOps: CV model training/validation, dataset versioning, experiment tracking End‑to‑end pipeline from data preprocessing to model deployment Data augmentation and management for scalable, repeatable training Key Advantages Certified “military suitable”; meets defense operational requirements First AI solution supplied to the ROK Army AI Center, proving reliability One‑stop synthetic data + model ops cuts development/validation time Fully in‑house stack enables rapid updates and mission‑tailored customization 2025: First AI product delivered to the ROK Army AI Center for defense AI projects Used to generate and manage high-quality synthetic imagery for military AI model training and validation