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

Proximity Device for target detection Optic Device for target detection

llumia ENGAGE facilitates open-ended training conversations using flexible AI agents to help practice 21st-century skills, decision-making and communication across multiple platforms.

In order to guarantee the quality required by customers based on excellent quality and productivity, we practice close quality control through SQ and IATF16949 certifications and devote ourselves to put all of our capabilities so that we would earn customers’ recognition.

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

SURI-III is a super multi functioning sight, optimizing firing capabilities for Caliber 50(M2) and AGL(MK19)in the day and night time condition. It could be supported by HMD for User’s shooting position in convenience and for saving Force’s lives. Thermal Camera + Day Camera + LRF + Red Dot Sight + Wireless Goggle + Customized Reticle + Wide Screen presents in One Device

Solution Overview KWM-Ocelot (AI Electromagnetic Spectrum Reconnaissance System) is a self-developed solution that measures field strength and clearness of 5G/4G base station signals and automatically analyzes abnormal waveforms based on time-series data. Main Features Real-time wideband frequency scanning using an RF detector mounted on unmanned complex systems AI-based signal characteristics and transmitter location analysis Real-time transmission and visualization of analysis data to ground control stations (GCS) via data link Identification of locations such as enemy drone and equipment operation areas, and command posts Effective tracking and jamming of enemy communications Key Advantages Automated signal classification and pattern learning based on AI Real-time visualization of battlefield electromagnetic spectrum distribution Effective signal detection, analysis, and tracking in various military environments Fully in-house developed, enabling rapid technological application and operational optimization Applied Cases Winner of the Grand Prize (Army Chief of Staff Award) at the 2025 Army Artificial Intelligence Idea Contest Real-time reconnaissance of battlefield electromagnetic environments and enemy communication tracking in military operations

SSPA 기술을 접목한 고효율 선박용 레이다 및 공항감시용 레이다 시스템 국산화 개발을 통해 다양한 레이다 제품의 RF 핵심기술을 독자적으로 확보하였습니다.