해외 기술의존도가 높은 위성안테나 분야에 지속적인 소형 경량화 및 제조기술 연구개발로 차량용 안테나, 항공기용 안테나, 항재밍 GPS 안테나 등 다양한 위성 안테나 제품을 국산화 개발, 생산하고 있습니다.

Introducing the FoldIR 30-450mm f/3.4 continuous zoom lens with Ophir's innovative folded optical design, offering lightweight, compact design while maintaining long optical lengths and improved tolerance sensitivity. This design ensures exceptional performance even in challenging environments, addressing stabilization and athermalization issues. Its unique f/3.4 aperture guarantees superior image quality, surpassing larger aperture zoom lenses in diffraction limit MTF and IR signal collection. The lens features a built-in mechanical shutter for NUC control, enhancing image quality through Ophir's control system. Weighting under 2kg, offering an impressive detection range of over 20km, and a horizontal field-of-view of 26.9º (WFOV) and 1.7º (NFOV). This compact, lightweight, long-range, high-performance lens is the ultimate selection of for optical air-land-sea optical gimbals and payloads. Key features include: • Efficient folded optics design for min. volume use • Physical shutter for NUC • Designed for MWIR 10μm SXGA sensors • For air-sea-land gimbals and payloads • Weight <2kg • Detection range >20km • HFOV 26.9º WFOV/ 1.7º NFOV

K2 MBT is a top-notching, home-grown main battle tank suited for both battle environments in mountains and cities. Equipped with 120 mm 55 caliber length smoothbore main gun, auto-loading system and integrated fire control system, firepower of K2 has no competitor. Hydro-pneumatic Suspension system(ISU) and Dynamic Track Tension System(DTTS) allows stable and sustainable operational capability and excellent mobility in rough ground conditions. Moreover, K2's survivability is maximized through various protective systems, such as Battle Management System(BMS) that detects and distributes threat data, Active Protection System(APS) that diverts threats, and composite armor and ERA that protects crew members.

The DLR exhibit "Maritime Situation Image" at the Seoul ADEX 2025 uses a VR presentation to illustrate how the use of maritime situation images can be utilised for the protection of maritime infrastructures. Three subject areas are presented and explained: the ‘SeaCat’ autonomous underwater vehicle (AUV) concept on object detection in the underwater area, the topic muon tomography, i.e. the use of cosmic radiation (muons) for the tomographic examination of objects such as freight containers, and Distributed Acoustic Sensing (DAS) on the detection of ships and submerged objects using fibre optic cables on the seabed.

PBS' best-selling jet engine. It has achieved worldwide success, having been sold in over 40 countries. It is currently in use in over 1,000 applications around the globe. Compact design, low weight and low fuel consumption in the given power category. Fuel lubricated version PBS TJ100P also available.

· Federated fire control enabled by the cutting-edge combat management system and sonar system · Unparalleled submerged endurance of more than three(3) weeks with high capacity of lithium-ion battery and a fuel cell-based AIP system · Multi-weapon integration for superior deterrence, including wire-guided heavy weight torpedo, anti-ship missile, SLCM, SLBM, and mobile mine · Enhanced stealth and survivability through no cavitation at all speed range, optimized hull form, and acoustic tile · Advanced automation features such as SNDC and IPMS, enabling a reduced crew size and improved habitability

Large Area Display Head Unit is included in avionics equipments used in the cockpit of an aircraft. Its wide screen vision development implements Full Glass Cockpit in aircraft. It also provides processing with more efficient yet less complicated circumstance with maximum 4 external input video signals Options that can be provided are - 20"x8" LCD Glass, LCD Module and Entire LAD system unit

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.