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.

Electric motor used to drive the joint (ST axis) of the Explosive Ordnance Disposal (EOD) Robot.

The MD250MW is a 15mm, metal gear, mini servo with dual ball bearings and a cored motor with carbon brushes. Engineered with a programmable digital amplifier and magnetic encoder to deliver high performance and reliability for remote, unmanned aerial vehicles and ground-based automation applications. Operating via DroneCAN (formerly UAVCAN) command protocol at a wide voltage range from 4.8~7.4 volts, this compact actuator produces impressive torque and high speeds in its mini class. The MD250MW servo is ideal for a variety of applications requiring an efficient balance of performance and cost. #UAV #UAS #UGV

KMC Series includes high-density board to board and board to wire interconnect solutions available in multiple configurations from 26 to 162 positions with a 0.5mm contact diameter and is widely used in harsh environments. Space grade/ESA/ESCC qualified are also available.

We developed and optimized an object detection and tracking solution tailored for edge environments using Intel Atom platforms with OpenVINO. The system combines MobileNetV3-SSDLite for detection and MobileNetV3-Small for tracking, enabling efficient real-time performance on resource-constrained devices. Through model optimization and inference acceleration, we achieved over 2x improvement in FPS and more than 50% enhancement in inference speed, all while maintaining detection and tracking accuracy. This demonstrates the solution’s suitability for lightweight, low-power edge AI applications

C-UAS and Advanced Threats 70kW CBC HEL Effectors

Designed for existing in-service EGI upgrade and compatibility with open architecture requirements. Perfectly suited for military helicopters, aircraft, fighter jets and UAVs, the BlackNauteTM Embedded GNSS and Time INS (EGTI) sets the new standard for resilient navigation performance.

o Detection substances Nerve: GA, GB, GD, GF, VX Blister: HD, HN3, L o Detection concentration G : ≤ 0.1㎎/㎥, ≤ 30 s VX : ≤ 0.04㎎/㎥, ≤ 30 s Blisters: ≤ 2.0mg/㎥, ≤ 30 s o Size: 185×165×285 mm o Weight: 4.5 kg or less