Powered by NVIDIA® Jetson AGX Orin™ SoM bundled with JetPack 5.1.1 Powered by NVIDIA® Jetson AGX Orin™ Industrial bundled with JetPack 6.0 Rugged -25°C to 70°C fanless operation (JAO32/ JAO64) - No throttling at 55°C with JAO64 MAXN Mode Rugged -40°C to 75°C fanless operation (JAOi) - No throttling at 50°C with JAOi MAXN Mode IP66 waterproof and dustproof Support 8x GMSL2 automotive cameras via FAKRA Z connectors (NRU-230V-AWP) 4x PoE+ GbE and 1x 10GBASE-T via M12 X-coded connectors 2x isolated CAN 2.0, 1x RS232, and 1x isolated RS485 via M12 A-coded connectors 1x system monitoring port by automotive-grade MCU 8V to 48V wide-range DC input with built-in ignition power control Compatible GMSL2 cameras with pre-built drivers

Ray Service, headquartered in Staré Město, Czech Republic, is an international innovative manufacturer of cable harnesses, electromechanical assemblies, and electronic equipment. It is also a distributor and integrator of cable components and system products. More than 30 years of experience and intensive development have resulted in a strong, modern enterprise, a reliable and sought-after partner on an international level.

Description

PELICAN-D JT is a MWIR detector for missile applications. The FPA is InSb based, having digital Readout Integrated Circuit (ROIC) in a format of 640 x 512 with 15μm pitch. Pelican-D JT has a unique structure of Dewar which enables very fast cool down time and hence quick mission readiness using Joule-Thomson (JT) cooler. Due to the low heat load on the focal plane, the detector achieves long mission duration. The Detector can be supplied with a proximity board which provides Camera Link interface to the customer system. This highly simplifies the integration of the detector to the system.

The KC-390 is capable of transporting and launching cargo and troops and performing a wide array of missions including: medical evacuation, search and rescue, humanitarian search and rescue, aerial refueling (fighters and helicopters), aerial firefighting and humanitarian assistance.

This is a contact-type and non-contact optical cable assembly for high-speed transmission of large-capacity signals such as video signals. It is a cable assembly for optical signal transmission in compliance with MIL standards by utilizing a contact/non-contact connector developed by Yeonhab Precision.

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.

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