The aerospace industry has brought one of humanity's oldest dreams to life, a dream that seemed out of reach for so long : the ability to fly, to travel among the stars. Symbolizing freedom, discovery and travel, airplanes bring people together and foster cultural exchange.

Identification Friend or Foe is an identification system designed for command and control. It enables military and civilian air traffic control interrogation systems to identify aircraft, vehicles or forces as friendly, and to determine their bearing and range from the interrogator. Raytheon Intelligence & Space has more than 80 years of experience in IFF.

- Interior lighting used by removing it from the upper cockpit mount - Adjust the DIM/BRT brightness by operating the knob switch - NVIS WHITE per MIL-STD-3009

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.

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

The Cardinal 1280 is a high-definition SWIR InGaAs detector featuring a 10μm pixel pitch. This detector offers high resolution and sensitivity, enabling EO/IR systems to capitalize on the SWIR spectrum for low-light imaging and extremely long-range daytime surveillance, even in challenging weather conditions like smoke, dust, fog, or rain. It incorporates SCD's advanced Asynchronous Laser Pulse Detection (ALPD) technology. A Thermo Electric Cooler (TEC) is included for optimal performance of the Focal Plane Array (FPA) in low light level scenarios. SCD is committed to standing alongside our customers, ensuring they receive the finest solutions available.

The APA-10 is a hybrid GPU equipped with diesel engine for continuous power and batteries for engine starting mode. Lightweight and maneuverable, the unit is perfect for indoor and outdoor use. Its relatively small size and extreme agility allow bringing the rectifier to any desired position. The elegant casing is made out of composite material, providing it long life and comfort to the user. The intuitive interface is user-friendly, making the GPU easy to control. Equipped with a highly durable chassis and mechanical braking system, this GPU is well prepared for heavy-duty and harsh conditions. The Ultra Green Power Solution Battery and Diesel engine driven GPU series APA is designed to reduce CO2 emissions with its unique technical characteristics.

Our XR-based aircraft maintenance simulator is officially certified by the Ministry of Land, Infrastructure and Transport (MOLIT) of South Korea for training and education. It provides specialized training environments for the A321, B737-MAX, and B737-800NG aircraft, featuring over 80 detailed modules—including procedures for engine removal, main landing gear installation, and more. This subscription-based simulator is fully compatible with smartphones, tablets, and wearable XR devices, enabling seamless access through a cloud-based web service. Users can train anytime, anywhere—perfect for both remote learning and remote maintenance scenarios. Compared to traditional classroom learning, the XR platform is 4 times more effective and requires only one-third the training time. It also improves user confidence in real-world technical applications by up to 275%. By transforming traditional paper manuals into immersive, interactive training environments, the simulator delivers the next generation of aircraft MRO education for both civil and defense sectors.