Available in operating frequencies from HF to Ku-band and with standard output powers ranging from 2 to 1000 watts. Standards Functions Include: FWD/RVS Detector, Mute, Temperature Monitoring, VSWR Alarm with Protection, Over Temperature Alarm with Protection and Auto-recovery, Over voltage protection, ALC, AGC and Current Monitoring.

Oil filter/transfer cart : Mobile fueling cart that supports oil filtering, flow rate check, and transfer functions oil system skid : Each part that enables oil transfer, filtering, flow rate check, and refueling in the oil tank is compactly configured with a skid for easy use and installation of the system.

The World's Most Complete Selection with Lightning Fast (Same-day!) Availability for: AS85049 (M85049), D38999, MIL-DTL-26500, MIL-DTL-28840, MIL-DTL-83513, MIL-DTL-83538, MIL-DTL-83723, MIL-S-81824, MS17349, MS27291 and Other Military Standard and Commercial Backshell Derivatives.

The accuracy and quality of aviation weather data is critical for air operations. Our systems combine world-class sensors and quality-controlled weather data compliant to international standards(ICAO, WMO). Stable observation data transmission is ensured 24/7 with opting certified components and technical service. Periodic inspections by our specialists maintain optimal operation and stability providing uninterrupted weather service. Our solution is flexible and is customized for each customer, ranging from detection, data collection, processing and display. AWOS is the answer to an efficient and reliable aviation meteorological service system.

Key Features of Ophir's IR lenses for thermal weapon sights and hand-held thermal imagers: • Precision Engineering: Our lenses are designed with precision engineering, guaranteeing exceptional clarity and image quality in the LWIR spectrum. • Versatile Compatibility: Ophir's lenses seamlessly integrate with a wide range of platforms, including hand-held thermal imagers and thermal weapon sights. This versatility ensures adaptability to your specific application requirements. • Enhanced Thermal Imaging: Experience superior thermal imaging performance that enables accurate detection, identification, and tracking of targets, even in challenging environmental conditions. • Robust Build Quality: Our lenses are built to withstand the rigors of field use, ensuring durability and longevity in demanding situations. • Exceptional Clarity: Achieve clear, high-resolution thermal images, allowing you to make critical decisions with confidence. • Competitive Advantage: Stay ahead of the curve with MKS Ophir's cutting-edge thermal imaging technology, giving you a competitive edge in your field of expertise. When it comes to thermal imaging lenses for thermal weapon sights and hand-held thermal imagers, Ophir is your trusted partner for excellence. Explore our range of products to discover the perfect solution that will elevate your application's performance. Contact us to set a meeting at ADEX Seoul

The SDT F 16 Combat Training Pod is mounted on F-16 and similar air platforms in an external pod, and ensures efficiency in exercises and in the provision of air-to-air and air-to-ground tactics training to pilots. SDT F - 16 Combat Training Pod features advanced air-to-air and air-to-ground combat training capabilities, such as real-time autonomous position generation, weapon simulation and real-time hit/miss notification, thanks to its long-range and high-speed RF data link and integrated processors. The system has mission planning, live monitoring, debriefing and analysis/evaluation features. The SDT F 16 Combat Training Pod enables training in real flight conditions and in multi-threat/target environments. Its high-speed data link and modular design mean that the System is also a Live-Virtual-Constructive (LVC) training infrastructure.

We developed and optimized an object detection and tracking solution tailored for edge environments using Intel Atom platforms with OpenVINO. The system combines MobileNetV3-SSDLite for detection and MobileNetV3-Small for tracking, enabling efficient real-time performance on resource-constrained devices. Through model optimization and inference acceleration, we achieved over 2x improvement in FPS and more than 50% enhancement in inference speed, all while maintaining detection and tracking accuracy. This demonstrates the solution’s suitability for lightweight, low-power edge AI applications

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