- Form factor: 6U VME64x - Processor: Intel® E3-1505Lv6 2.2GHz 4 Cores and 8 Threads - Memory: 16,000MB DDR4 SDRAM w/ECC, (1) 73GB up NVMe SSD

Adjustable stator vanes that control airflow angle entering the rotor blades.

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.

- Minimizing the station's door opening and closing time to support drones' quick entry and exit. - Structural design to minimize noise and vibration when opening and closing the door - Design and implementation of an interface for interaction between an automatic door system and a drone. - Automatically opening and closing door system - Automatic detection of drones through cameras and sensors, and safe storage and charging functions

EMCORE’s SDI170 IMU is designed as a performance-compatible inertial system that is form, fit, and functional with a legacy RLG-based IMU product, but with superior overall performance, versatility, and a significantly higher MTBF (Mean Time Before Failure) rating over ruggedized environments. The tactical performance of the SDI170 IMU is based on EMCORE’s mature, proven, dependable and accurate quartz MEMS inertial sensor technology in our SDI500 tactical-grade IMU. EMCORE’s quartz technology enables repeatable high-volume production of precisely machined sensor structures combined with the inherent large signal output and thermal stability of quartz materials. The SDI170 IMU is designed for demanding, mission-critical, rugged environments and ideal for continuous use applications with no wear-out components, highly linear accelerometer performance and longer life compared to competing alternatives. It is constructed with EMCORE’s latest generation quartz gyros, quartz accelerometers, and high-speed signal processing to achieve outstanding precision performance. The solid-state quartz sensors and hermetically sealed IMU construction provide reliable MTBF and a 20-year operating and storage life. Continuous Built-in Test (BIT), configurable communications protocols, electromagnetic interference (EMI) protection and flexible input power compatibility make the SDI170 IMU easy to use in a wide range of higher-order integrated commercial and defense system applications.

"It is a product lineup that is proven in global markets and has world-class competitiveness. And it is being exported to more than 20 countries around the world."

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

Users can utilize and control autonomous drone services, including mission area setting, automatic dispatch instructions, real-time status checks, and return and charging confirmation, through the control program. This allows for the effective collection of various data, including minimizing manpower, improving accuracy, and responding to emergency situations.