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

Model-Based Systems Engineering (MBSE) is a methodology that integrates design, analysis, and verification activities throughout the system lifecycle using architecture models. By modeling requirements, functions, structure, and behavior, MBSE supports consistent and informed decision-making. Ansys SAM (System Architecture Modeler) supports the latest system modeling language, SysML v2, and enables both graphical and textual modeling, real-time collaboration, and model management. Ansys ModelCenter integrates various engineering tools and builds automated workflows, enabling what-if simulations and trade studies. By connecting architecture models with simulation models, it supports consistent design analysis and requirements validation using a single source of truth (ASoT).

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.

We can process various materials using machining facilities such as 3-axis, 5-axis, and profile grinders. (Aluminum, copper, stainless steel, Super Alloy, etc.)

High-quality aerospace-grade aluminum forgings, produced from 6000 and 7000 series ingots sourced from reputable foundries. Our company specializes in forging and heat-treating to meet specific customer requirements, including ring and plate shapes, for defense industry applications.

GP division is producing Glass paper in the wet by glass fiber fabric as a main ingredient. Glass Paper has a dimensional stability, heat resistance, chemical resistance, electrical insulation, Print Processability, heat insultion and so on. Due to its advanced quality, the Glass Paper is used by many manufacturers globally for floorings, buildings, exterior electronics. Also, it is used for inorganic filter products, and diverse parts are under researching as its demands rise up.

V-BAT은 전투 검증을 마친 플랫폼으로, 유사한 성능의 Group 4 및 5급 대형 무인기 대비 비용과 물류 부담을 획기적으로 절감하면서, 전략 및 전술 수준의 ISR(정보 수집·감시·정찰)과 표적 획득 기능을 제공하는 기동성 중심의 운용 플랫폼입니다. 전자전 환경을 고려해 설계, 시험, 실전 배치된 V-BAT은, GNSS 차단 및 통신 간섭 상황에서도 임무 수행 효과성을 실전에서 입증한 바 있습니다. V-BAT은 미 해안경비대(Maritime UAS Services Program)의 공식 채택 플랫폼으로 선정되었으며, 미 해군의 거의 모든 함정과 해병대 전진기동부대(MEU) 전 편대에 실전 배치되었습니다. 독자적인 설계 및 제어 기술을 통해, 강풍, 혼잡한 비행 갑판, 이동 중인 함정 등에서도 4.6m x 4.6m 수준의 협소한 공간 내 이착륙이 가능합니다.