The ARTUS Lite’s prowess extends to tele-operation scenarios, particularly within military, nuclear, and bio-pharma applications, where an end-effector that operates with both finesse and confidence is crucial. It provides a safe and precise solution for remote manipulation in hazardous or inaccessible environments, proving vital in environments where the safety and replacement of manual labor are urgent concerns. It excels in machine tending and pick-and-place automation within greenhouses, warehouses, and recycling facilities, enhancing productivity while prioritizing worker safety.

This unit(SOU) supplies sealing oil to prevent mixing of hydraulic oil and liquefied methanol gas inside of FBIV(Fuel Booster Injection Valve) when the main engine operates. SOU is divided into large bore main engine(60 bore over) and small bore main engine(50 bore below) type by the number of membrane accumulator. The main components consist of an oil tank, an electric motor, a hydraulic gear pump, an oil filter, a control block, accumulators, and various senses, transmitters and indicators.

DS Aether CT provides various industrial Gas Tube Trailers such as Helium (He), Hydrogen (H2), Neon (Ne), Nitrogen (N2) and Argon (Ar), as well as CNG. The working pressure is set to national requirements or customer's demands such as 166 bar, 200 bar, or 250 bar. The color of the jumbo tubes and skid frames follows ISO color codes, or the designations of customers.

The eco-friendly era, it all begins with the Energy Storage System. VITZROCELL's EDLC is a next-generation energy storage device that offers a high energy density and can be used semi-permanently.

Engine modules for Rolls-Royce (Allison) Model 250 gas turbine engine series. Maintenance, repair, overhaul, rentals, exchanges, sales and service.

DIVE (Digital Interactive Virtual Environment) is a GIS-based smart construction management platform jointly developed by ZYX Technology and Korea Expressway Corporation. Designed to meet the growing demand for intelligent infrastructure solutions, DIVE provides real-time integration, monitoring, and analysis of all location-based construction data. By consolidating diverse sources such as design drawings, land maps, aerial imagery, BIM data, drone footage, and CCTV into a single platform, DIVE enables comprehensive, on-site visibility and control. From large-scale infrastructure to complex tunnel projects, all key information can be accessed and compared in real time, allowing for smarter, faster, and more accurate decision-making. The main dashboard provides a live overview of each project site, including tasks, equipment, workers, events, and safety issues. With its daily work management feature, site managers can view exact personnel and equipment allocations for each zone, improving efficiency and minimizing risk. DIVE also supports seamless integration with tunnel monitoring systems, offering real-time access to excavation status, geotechnical sensors, and worker presence inside the tunnel. This ensures enhanced safety and process transparency in high-risk environments. Drone integration further strengthens site management by providing up-to-date aerial visuals, reducing blind spots and enabling rapid response to field changes. In addition, the platform links design drawings with cadastral maps to streamline permitting, track construction progress, and manage change orders with geographic accuracy. Whether you're building roads, tunnels, or complex infrastructure, DIVE empowers construction teams with a powerful digital environment to manage the entire project lifecycle.

We are recognized domestically and internationally for our technology and quality by supplying products manufactured based on our accumulated know-how and excellent technology to power generation equipment companies at home and abroad.

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