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

In harsh theaters of battle and other challenging environments, electronic sensors that decision-makers depend on for signals intelligence can fail, be blocked, or may not be present. That can leave forces unable to detect threats, protect assets, or see and evaluate opportunities to advance the mission.

- FOG based Inertial Navigation System for Gyrocompass - Position Accuracy(INS/GPS): < 3 m - Heading Accuracy: < 0.1º  sec (LAT) - Attitude Accuracy(Static): 0.01º - Attitude Accuracy(Dynamic): 0.01º - Operating Voltage: 9 to 36 VDC - Power Consumption: < 15 W (typ.) - Dimension(L x W x H): 330 mm x 192mm x 180mm

This system product is a product that directly supplies and heats lubricant oil for smooth operation of the main engine cylinder’s metallic and mechanical movement. Lubricator, a product that supplies lubrication directly to the main engine cylinder liner, can control injection timing and consumption using an electronic control method that responds to the movement of the main engine piston. The alpha lubricator system is based on an algorithm controlling the cylinder oil dosage proportionally to the sulphur content in the fuel and, fuel consumption on particular load of engine. Minimum cylinder oil dosage is required to provide an adequate oil film and detergency properties. Everllence and WIN GD engines are currently applying the second generation Lubricator type, the Everllence type is Mk-I and the WIN GD type is Mk-ε (Epsilon).

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ts advanced integrated optics and closed-loop Field Programmable Gate Array (FPGA) electronics deliver much higher accuracy, lower noise and greater efficiency than competing technologies. In addition, the EG-1300 can be calibrated internally for better thermal effect and has both digital and analog outputs, along with separation of the electronics from the FOG’s sensing coil assembly to accommodate the widest variety of installation parameters. Features Fully-integrated optics and electronics Advanced optics and FPGA electronics for higher accuracy, lower noise and greater efficiency Precise navigation (1 mile/hour without GPS) Fast, precise gyrocompassing to 1 milliradian Bandwidth to 500 Hz Separate electronics and sensor modules More economical than competing systems Applications Navigational grade applications Unmanned aerial vehicle (UAV) guidance Missile guidance Aeronautics and aviation Robotics

1. RCWS - 7.62mm Machine Gun (Compatible of K-16 and M60) - Magazine Capacity : Max. 400 Rounds. 2. EO/IR - Day/Night Range : Detection 4 Km, Recongnition 2 Km - Range Finding Accuracy : less 5m in 4 Km 3. AI Object Recognition - Real-time Object Detection Model - GPU-Based High Speed AI image Processing - Application of Supervised Learning Data

Sungjin Techwin develops operating control computers designed for ground and naval defense applications. Engineered for harsh environments, these ruggedized systems provide secure and real-time processing to support RCWS operations, anti-drone defense, and unmanned surface vehicle control. Built to military standards, they offer high reliability under shock, vibration, and temperature extremes while enabling seamless integration with sensors, weapons, and communication networks. By combining durability with scalable architecture, Sungjin’s operating control computers ensure mission effectiveness across diverse modern battlefield domains.