V-BAT Teams is powered by Hivemind, the world’s best AI pilot and the most strategic defense tech of our generation. AI pilots enable aircraft to maneuver without GPS or communications and enable the concept of intelligent teaming – the ability to autonomously read and react to each other, adversaries, and the environment to accomplish the mission.

KJF makes comprehensive efforts to satisfy our customers with cost effective, high quality and on-time delivery support. KJF fabricated radar platform and shelters of KMSAM

The AI Inspection Rover is capable of autonomous driving indoors and outdoors, obstacle avoidance, high-resolution image acquisition, aircraft underbody inspection, and platooning. Its low-height design allows it to pass under the aircraft, and with its zero-turn function, it can execute missions more efficiently. Additionally, it can drive slopes of up to 10° and overcome bumps of up to 30mm.

PROJECTS KSS SONAR System KDX-III SONAR System Wire-Guided Heavyweight Torpedo Harbor Underwater Surveillance System (HUSS) ITEMS Transceiver cabinet assembly

SJP’s connector components are designed and manufactured to meet the highest standards of precision and reliability across industries. Equipped with state-of-the-art CNC multi-tasking machines and extensive know-how, we deliver solutions ranging from fine threading to complex geometries. Our connectors are widely applied in electronics, medical devices, aerospace, and defense, where durability and stable connectivity are critical. Through customized design services and fast lead times, we help our clients enhance their product competitiveness.

aviation fuel refueling cart : Mobile refueling cart that can easily refuel light aircraft and helicopters Sump recovery system : Collect the drained/sumped aviation fuel from the aviation fuel refueling system, easily sample and test it, and then decide whether to drain it or return it to the system. Aviation fuel refueling system : The aviation fuel refueling system is compactly constructed with a skid for easy use and installation.

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.