This miniaturized system allows, depending on the desired configuration, to move very precisely between 1 and 3 sets of lenses over a stroke of several centimeters. The design has been optimized to ensure perfect alignment of the lenses and to minimize their tilt throughout the movement. This optomechanical system mainly consists of high-precision standard MPS and FAULHABER modules, such as brushless or stepper motors, ground ball screws with double nuts and linear ball bearings. It is particularly recommended for focusing a laser over a long distance, for example for the guidance of unmanned flying objects or for communication between flying objects. The number of lens sets, lens size and stroke can be configured at will.

This product is a test-rig to test the injection and function of various fuel (diesel oil, gas) objects of the main engine. This product model is made from slide fuel valve types of traditional diesel engines to latest dual fuel gas engines GI, GI, LGIP, LGIM/X-DFM, and ammonia fuel valve engines LGIA and X-DFA types, and we are directly doing everything from design to production. In accordance with the maintenance regulations recommended by Everllence and WIN GD, it is a product that tests the normal functionality of fuel injectors of main engine after disassembling, cleaning and reassembling of fuel injection valves.

Applied for the Localization Development Project of Core Components in Weapon Systems Conducted basic design for the development for mechanical Mine Sweeping Equipment for MSH, followed by submission of a proposal and presentation for in-person evaluation Patent : Mine Sweeping System with loT Based Functional Float

Our electronics business sector has been producing copper cladded laminates of printed circuit boards for over 20 years. To meet high heat dissipation for the newest electronic technology, we have developed metal based laminates and carbon laminates.

A compact EO/IR gimbal camera system designed for UAVs, unmanned surface vehicles, and defense platforms. The system integrates a QVGA/VGA-class LWIR thermal imager and a high-resolution EO camera within a stabilized gimbal, ensuring reliable performance in diverse environmental conditions. Optimized for ISR (Intelligence, Surveillance, Reconnaissance) missions, the system provides detection, recognition, and identification (DRI) capabilities with low-SWaP (Size, Weight, and Power) characteristics.

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.

Quadro Versa expands the capabilities of Exolaunch's microsatellite separation systems with a four-point offering tailored to satellites weighing up to 1000 kg and flying on SpaceX Rideshare plates. Versa has been designed for compatibility with the SpaceX four-point interfaces, and it is easily scalable to any size from 24”x24” up to 40”x40”. Larger satellites over 1000 kg and with larger footprints are also served by Versa, which offers unrivaled strength, stiffness and reliability for four-point satellites of any size.

1. RCWS - 7.62mm Machine Gun (Compatible of K-16 and M60) - Magazine Capacity : Max. 400 Rounds. 2. EO/IR - Day/Night Range : Detection 4 Km, Recongnition 2 Km - Range Finding Accuracy : less 5m in 4 Km 3. AI Object Recognition - Real-time Object Detection Model - GPU-Based High Speed AI image Processing - Application of Supervised Learning Data