Solution Overview The AI-Based Command Decision Support System, "KWM," identifies battlefield targets and recommends optimal weapon system combinations. It supports end-to-end "Sensor-to-Shooter" execution for rapid, accurate, and efficient engagement and command decision-making. Main Features Identifies targets on the battlefield using integrated sensors and data Recommends the most effective attack strategies for both reconnaissance and attack missions Provides command decision support through real-time analysis and visualization Suggests and allocates optimal target formations and strike assets Supports on-site command and control with a user-friendly interface Key Advantages Enables quick, accurate, and efficient engagement of enemy targets Automated recommendation of attack strategies and allocation of strike resources Real-time synchronization between reconnaissance and attack kill webs Direct connection from detection to strike (Sensor-to-Shooter capability) Increases operational efficiency and decision-making accuracy in complex battlefield environments Applied Cases Successfully piloted in the Army Tiger Boost Project in 2024 Used for command decision-making and efficient allocation of attack resources in live military scenarios

The radar that Raytheon Missiles & Defense is building for the U.S. Army has long been known as the Lower Tier Air and Missile Defense Sensor (LTAMDS). Now, ...

Radio interference on telecommunications / broadcasting satellites operating in and outside of the country may result in degradation and interference of telecommunications / broadcasting. This system searches the interfering sources by TDOA / FDOA.

The Arizona Commerce Authority's International Trade Program offers Arizona-based companies valuable export services to amplify their trade opportunities in international markets. Services include assistance and trade counseling, getting started, contact facilitation, company background, export leads, educational programs, and more.

From start to finish, you will be working with some of the brightest RF engineers and dedicated business professionals in the industry to ensure our antennas deliver the functionality you require. Haigh-Farr will customize a solution for you based on your unique needs while leveraging existing designs to keep costs and cycle time to a minimum.

Features ● Wideband Frequency Range of 2.0~18.0GHz ● Rigid Construction with AL Brazing ● Monotonic Beam Shape, No Beam Split ● Optimized Gain Ripple and VSWR Applications ● General Purpose TX/RX Antenna ● EMC Testing ● TX/RX Antenna for EW Testing ● Wideband TX Antenna for Anechoic Chamber

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.

The specifications for vessel design, manufacture and inspection comply with the ASME standard of the USA, as well as the standard of the Korea Gas Safety Corporation. These vessels are manufactured and exported to countries all over the world.