The AI Inspection Rover is capable of autonomous driving indoors and outdoors, obstacle avoidance, high-resolution image acquisition, aircraft underbody inspection, and platooning. Its low-height design allows it to pass under the aircraft, and with its zero-turn function, it can execute missions more efficiently. Additionally, it can drive slopes of up to 10° and overcome bumps of up to 30mm.

Intel® 14th/13th/12th-Gen Core™ 24C/ 32T 35W/ 65W CPU Affordable IP66-rated design for waterproof and dustproof Up to 96GB DDR5 4800 SODIMM -25°C to 70°C wide-temperature fanless operation 3x 2.5Gb and 1x Gb Ethernet ports via M12 X-coded connectors, with 802.3at PoE+ option 1x waterproof USB3.2 Type-C port supporting alternative mode for DisplayPort and USB3.2 dual output 8V to 48V DC input with built-in ignition power control

This rocket nozzle featuring conformal cooling channels and isogrid ribbing was manufactured using EOS Copper CuCP, a pure copper material optimized for additive manufacturing. The production required approximately 72 hours, taking advantage of the exceptional thermal and electrical conductivity of pure copper to meet demanding aerospace performance requirements. As one of the few companies in Korea capable of performing metal additive manufacturing with pure copper, we provide advanced technical expertise and support OEM production as well as collaborative technology development projects with various industrial partners. The showcased component was designed by nTopology and demonstrates the synergy of advanced design optimization with state-of-the-art copper additive manufacturing.

This unit(SOU) supplies sealing oil to prevent mixing of hydraulic oil and liquefied methanol gas inside of FBIV(Fuel Booster Injection Valve) when the main engine operates. SOU is divided into large bore main engine(60 bore over) and small bore main engine(50 bore below) type by the number of membrane accumulator. The main components consist of an oil tank, an electric motor, a hydraulic gear pump, an oil filter, a control block, accumulators, and various senses, transmitters and indicators.

INCOLOY® Alloy A-286 -Bars-Sheets and Plates Material no. 1.4545.4 / 15-5PH -Bars Material no. 1.4548.4 / 17-4 PH -Bars Material no. 1.4546.9 -Bars

The family of PBS TJ40 turbojet engines features a compact design and excellent thrust-to-weight ratio. The engines are available in several versions incl. the PBS TJ40-G2 with high electric power output. Its distinctive features include simple and compact design, low weight and plug & play solution (all components including ECU integrated in the engine body). The engine weighs only 3.6 kg and provides a maximum thrust of 425 N.

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.

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.