Connectors

The SCXMC-HDLC card operates through the XMC interface of the SBC and provides real-time communication for control and status data based on synchronization signals. It supports serial communication via the SBCRTM’s Micro D-sub 37-pin connector using a standard D-sub 9-pin interface, allowing long-distance transmission through LVDS signaling. With four transmit/receive channels, it achieves 1–8 Mbps per channel and delivers low-latency performance of less than 40 µs for real-time operations. A device driver program is required for operation, and the Linux driver can be downloaded from Seedcore’s product page. Drivers for other operating systems can be developed upon request. This module is deployed in the L-SAM multi-function radar system, enabling fast and reliable control data communication across mission-critical components.

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.

EpiShuttle is all about protecting both patients and health care professionals. The EpiShuttle is an isolation unit designed for quick and easy transport of highly infectious and vulnerable patients.

Developed and manufactured by MPS Microsystems based on customer specifications, this lens actuator forms an essential component of a laser guidance system for unmanned flying objects. It enables 2 lens groups to be displaced individually over a total range of 48 mm and makes it possible to focus a laser over a distance of several kilometres. The main technical difficulty inherent to this actuator lies in meeting very stringent requirements for alignment between the two lens groups (< 10 µm) and in maintaining a very small tilt of the lenses over their entire stroke (lateral deviation < 2 µm). The key part making it possible to ensure such specifications is a frame machined by milling from an aluminium block, into which the 2 drive systems are fastened. These systems each consist of a Ø16 mm brushless motor and a Ø4 mm ball screw with an axial play of less than 5 µm. Backlash-free and frictionless sliding of the lens holders is ensured by standard L306 linear ball bearings manufactured by MPS Microsystems.

Introducing the FoldIR 30-450mm f/3.4 continuous zoom lens with Ophir's innovative folded optical design, offering lightweight, compact design while maintaining long optical lengths and improved tolerance sensitivity. This design ensures exceptional performance even in challenging environments, addressing stabilization and athermalization issues. Its unique f/3.4 aperture guarantees superior image quality, surpassing larger aperture zoom lenses in diffraction limit MTF and IR signal collection. The lens features a built-in mechanical shutter for NUC control, enhancing image quality through Ophir's control system. Weighting under 2kg, offering an impressive detection range of over 20km, and a horizontal field-of-view of 26.9º (WFOV) and 1.7º (NFOV). This compact, lightweight, long-range, high-performance lens is the ultimate selection of for optical air-land-sea optical gimbals and payloads. Key features include: • Efficient folded optics design for min. volume use • Physical shutter for NUC • Designed for MWIR 10μm SXGA sensors • For air-sea-land gimbals and payloads • Weight <2kg • Detection range >20km • HFOV 26.9º WFOV/ 1.7º NFOV

R&S®M3SR은 민간, 방위, 해상 지-공-지 통신 솔루션을 위한 최신 고정식 무전기를 대표하는 기기입니다. 로데슈바르즈는 점차 엄격해지는 통신 요구사항에 대해 수년 간의 실무 경험을 기반으로 한 기술 개념으로 대응하고 있습니다. 무전기는 가장 엄격한 품질 측면을 충족하여 최대 RF 성능을 제공합니다. 이 고성능 소프트웨어 정의 무전기는 전 세계 보안 당국과 정부 조직에서 높은 평가를 받고 있습니다.

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.