Compact & Lightweight Design for Quick Assembly & Disassembly, Maximizing Portability. Small Fixed-wing Drone Specialized for Aerial Surveying, Surveillance, and Reconnaissance, ensuring Optimal Operation Without Space Constraints. Flight Time : 90min (No Payload) / Cruise Speed : 20m/s, 28m/s (Max) / MTOW : Under 8.6kg Aircraft Size : 2432x1581x403mm / Max Payload : 500g / Range : 3km (Varies by Communication Equipment) / Weight : 8.1kg (With battery, No payload) Application : Aerial Surveying, Reconnaissance, High-Resolution Picture/Video, Payload Drop

- System Construction - U-Caster-HT: Network video transmission device - KASSO® server: Connects Tx and Rx in a cloud environment, streams video to the receiving device, and manages connected devices (settings, transmission/reception connections, etc.). - Video receiving device: MonaLisa-Rx device (U-Caster-HR) or computer/smartphone - Receiving playback software: Web browser or WebRTC streaming playback program

An educational technology learning system in which operators (instructors/student pilots/mechanics) proceed and manage learning through interaction with computers outline Summary • Development of defense CBT/CAI for theoretical education of domestic/international pilots and mechanics •Development of CMI, LCMS for trainee grade management, progress management, and content data management ・Research and construction of a hands-on learning system for applying the latest media •Learning content reuse and version management possible (SCORM standard applied)

Harness Quantum Power for Exceptional Performance! IQM's most advanced superconducting quantum computing platform. It is immediately available with 20 high-fidelity qubits, easily upgradable to 54, and soon up to 150 qubits.

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

Our XR-based aircraft maintenance simulator is officially certified by the Ministry of Land, Infrastructure and Transport (MOLIT) of South Korea for training and education. It provides specialized training environments for the A321, B737-MAX, and B737-800NG aircraft, featuring over 80 detailed modules—including procedures for engine removal, main landing gear installation, and more. This subscription-based simulator is fully compatible with smartphones, tablets, and wearable XR devices, enabling seamless access through a cloud-based web service. Users can train anytime, anywhere—perfect for both remote learning and remote maintenance scenarios. Compared to traditional classroom learning, the XR platform is 4 times more effective and requires only one-third the training time. It also improves user confidence in real-world technical applications by up to 275%. By transforming traditional paper manuals into immersive, interactive training environments, the simulator delivers the next generation of aircraft MRO education for both civil and defense sectors.

C-UAS and Advanced Threats 70kW CBC HEL Effectors

Yuan Thor platform serves as the computational core for autonomous systems. Powered by NVIDIA® Jetson Thor™ (128GB LPDDR5X, 2560 CUDA cores, 96 Tensor cores), it delivers up to 2070 FP4 TFLOPS of AI performance for real-time sensor fusion, data analytics, and edge decision-making. Thor supports 16× MIPI CSI-2 cameras, audio in/out, CAN Bus, UART, I²C, SPI, and GPIO, enabling precise, low-latency responses for robotics, industrial automation, and autonomous vehicles.