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

Users can utilize and control autonomous drone services, including mission area setting, automatic dispatch instructions, real-time status checks, and return and charging confirmation, through the control program. This allows for the effective collection of various data, including minimizing manpower, improving accuracy, and responding to emergency situations.

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

- Specialized in manufacturing Miniture ball screw - Shaft diameter 4mm~20mm - Precision grade C0~C7 - Shaft length differs depending on material, size, accuracy of shaft - Efficiency 90% or higher

KJF makes comprehensive efforts to satisfy our customers with cost effective, high quality and on-time delivery support. KJF fabricated radar platform and shelters of KMSAM

The high-reliability DC-DC onverters brings SynQor’s field proven high-efficiency synchronous rectifier technology to the Military/Aerospace industry. SynQor’s innovative QorSeal® packaging approach ensures survivability in the most hostile environments. Compatible with the industry standard format, these converters operate at a fixed frequency, have no opto-isolators, and follow conservative component derating guidelines.

The SCXMC-AURORA is one of Seedcore’s flagship products, designed for high-speed optical data communication through an XMC interface. Utilizing the Xilinx Aurora 64B/66B protocol, it supports four transmit/receive channels, each operating at 10.3125 Gbps via integrated optical transceivers. A device driver program is required for operation, and the Linux driver can be downloaded from the product information page on Seedcore’s website. This module is deployed in the M-SAM air defense system, providing reliable and high-speed data transfer between mission-critical embedded components.

Near-field Ranges calculate Far-field pattern based on amplitudes and phase samples in radiating near-field region mathematically. Near-field Ranges have various testing configurations-planar, cylindrical and spherical. Planar Near-field range is suitable for directional antennas. Cylindrical Near-field range is suitable for antennas with wide side/back lobes and fan beam antennas. Spherical Near-field Range is suitable for any type of antennas. You can choose reasonably defending your conditions. MTG has many experience supplying Far-field ranges as well as Near-field ranges. MTG work with many companies including munitions industries, laboratories, telecommunication corporations, and antenna corporations. We can provide a series of positioner, probes and Near-field measurement software.