SAF-FIRES™ is a standards-based, image generator agnostic, and scalable Call-For-Fire and Close Air Support training simulation with autonomous Smart Trainer suitable for deployment in Joint Fires and accreditable JTAC training simulators. Built upon the same Call-For-Fire and Close Air Support software engine that powers the accredited simulation Fires FST™, SAF-FIRESTM delivers the same mature and complete Joint Fires training solution but makes it available for integration with any DIS, HLA or CIGI compatible simulation or Image Generator. Supporting both conventional near-peer and counter-insurgency operational scenarios, SAF-FIRES™ enables JFOs and JTACs to train realistically in a modern complex battlespace against an agile and adaptive adversary. Heightened realism and cognitively challenging training are enabled through the incorporation of non-combatants, urban clutter, UAV surveillance, various close air support platforms and accurate military targeting procedures.

ZYX SPACE is an intelligent design platform that integrates artificial intelligence into the architectural design process. It is designed to minimize repetitive tasks through automation and empower designers to focus on creativity and decision-making. With its advanced AI engine trained on over 80,000 architectural drawings, ZYX SPACE can automatically recognize 2D floor plans, identify key elements such as walls, doors, and windows, and generate accurate 3D models in real time. Designers can experience seamless 2D-to-3D transformation without the need for manual modeling. ZYX SPACE also offers powerful daylight analysis features, simulating natural sunlight movement to visualize indoor lighting conditions and energy efficiency through heatmaps. This enables informed design decisions that consider both aesthetics and sustainability. One of the platform’s standout capabilities is converting image-based drawings into CAD-compatible vector files. ZYX SPACE not only extracts geometric data but also recognizes numerical information embedded in scanned or photographed blueprints, making legacy data usable in modern design workflows. Through auto-learning and labeling features, the platform continuously improves its recognition accuracy by learning from accumulated project data. It automatically classifies architectural components and spatial configurations, boosting productivity and reducing errors. ZYX SPACE also supports AI-driven interior rendering. It analyzes room layouts to suggest optimal furniture placements and delivers real-time visualizations based on different interior concepts, helping designers and clients envision the final space with clarity. When combined with ZYXCAD, ZYX SPACE provides a highly integrated design environment—enabling end-to-end automation from drafting to visualization. This powerful synergy allows architects, engineers, and designers to accelerate their workflows, improve precision, and unlock new levels of creativity.

The V61 camera represents COX’s next-generation un-cooled LWIR imaging technology, built to provide high-performance thermal imaging in a compact and reliable form factor. Utilizing a 12μm pixel pitch sensor with outstanding thermal sensitivity, the V61 delivers precise and sharp thermal images across a wide range of environments. It supports fast auto-focus and versatile zoom lens combinations, making it equally effective for both short-range monitoring and long-distance detection tasks. The camera is designed with real-time multi-format video output, supporting H.265, H.264, and MPEG streaming, ensuring compatibility with modern network systems.
What makes the V61 especially powerful is its adaptability—customers can freely combine the core with different optics to meet unique project needs, whether for industrial inspection, perimeter security, or scientific research. Its wide temperature measurement range and ability to provide reliable data even in demanding conditions establish the V61 as a truly versatile solution. In addition, with COX’s proprietary calibration expertise, the V61 guarantees accuracy and long-term stability, reducing operational risks while maximizing system performance.

Confronting climate change, designing quieter and more efficient airplanes, developing innovative satellites to observe the Earth's system: our sector is using its skills to their utmost to take action for the environment. Our two main objectives are to advance our technologies so that we can better observe our planet and to create sustainable air travel.

Technology research that needs to be developed/secured to efficiently train future combat pilots ETS must have the ability to provide a realistic training environment in which pilots can immerse themselves in training through the use of simulations and CGFs within a real platform. The advantage of ETS is that it provides trainees with a training experience that is close to the real thing and reduces overall system operating costs by replacing real systems and consumables with simulations. Developed countries are already continuing to attempt to apply various core technologies to increase the efficiency of ETS. Hangil C&C Co., Ltd. is the only ETS development company in Korea, and is striving to develop cutting-edge ETS by combining years of research and development experience and its core technologies.

Ultisense™ is Safran Vectronix’s line of high-performance OEM sensing modules, including ultra-compact Laser Rangefinders (LRF) and Digital Magnetic Compasses (DMC). Designed for seamless integration into military and civilian systems, they offer exceptional accuracy, ruggedness, and Swiss precision. LRF modules measure distances up to 30 km with ±1 m accuracy, while DMC modules provide azimuth accuracy down to 0.25°, even under extreme shock and environmental conditions.

The SmartVDO Eye series AI cameras use the NVIDIA® Orin™ NX Super platform, offering a comprehensive, all-in-one AI monitoring solution. The NeuroEye-I series, designed for industrial inspection, features Sony high-resolution, high-sensitivity sensors and supports both rolling and global shutters for capturing detailed, high-quality images. The NeuroEye-S series, built for environmental safety, offers autofocus, auto-aperture, low-light night vision, and IP66 protection, ensuring reliable operation in harsh conditions. Combined with YUAN’s powerful AI development kit, QDEEP, AI models can be rapidly deployed and customized to enhance operational efficiency.

Iniaturization model for UAVs Minimized Vibration & Noise by our technique Provide an electronic board Customized item for Military's needs