Using a data storage module and a series of high-speed switches, our solution offers expandable memory up to 64 TB and high-speed processing power. Along with our attendant control panel, designed to reduce the crew's workload, we offer a complete end-to-end solution.

KJF designed and fabricated A320 Sharklet Moving Line

Robotic technology that combines IoT and autonomous driving technologies provides key solutions for future mobility manufacturing. Main Functions Innovative manufacturing system using Collaborative Robot and Autonomous Mobile Robot ptimize production processes and provide logistics flexibility Ensuring Optimal Production Process Using AI Application Site HMGICs : Flexible Production Cells (smart manufacturing) Targeted to supply to global manufacturing sites

CoaXPress enables bidirectional transmission of data transfer, camera control, power supply (PoCXP), and triggering over a single coaxial cable. This product supports the following transmission standards. Designation Bit Rate ========== ======== CXP-1 1.250 Gbps CXP-2 2.500 Gbps CXP-3 3.125 Gbps CXP-5 5.000 Gbps CXP-6 6.250 Gbps CXP-12 12.500 Gbps The CXR-4C amplifies and transmits image signals from 1/2/4-channel CoaXPress cameras to a PC frame grabber. Typically, transmission matches the distance between the camera and the device. Transmission distance depends on the coaxial cable type, and due to significant variability, specific distances are not provided.  4 CH x 1 Camera Configuration  2 CH x 2 Camera Configuration  1 CH x 4 Camera Configuration  2 CH + 1CH Camera Configuration

With advanced 3D printing, our turbine blades redefine manufacturing—delivering faster development, higher efficiency through superior quality, and innovative design freedom.

Jonal Laboratories of Meriden, Connecticut researches, designs, and manufactures elastomer sealing components for the most crucial commercial and defense app...

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.

Twister is lightweight, rapidly deployable, and designed to provide actionable intelligence directly at the point of contact. Its agility and intuitive operation make it ideal for SOF units operating in contested or high-tempo environments. Key Features: Lightweight and packable <1-minute deployment Designed for small-unit autonomy Live video and metadata transmission Supports target acquisition and real-time threat detection