High Power Polarizing Beamsplitter Cube coatings are deposited on the hypotenuse of right angle prisms that are optically contacted. They are designed to separate an incident beam into its S and P polarization components with an average extinction ratio (TP/TS) in excess of 500 : 1. The incident energy is split into two orthogonally polarized beams that emerge at 90。with respect to each other. These coatings were developed specifically for use in high power pulsed and CW laser applications.

ABC designs and develops many components or functions to best meet the requirements of the needs in the special functions required in the test facilities. Essentially, these are hydraulic components that cover all types of fluids from very low pressure to very high pressure in a very wide scope of flow ranges.

An optimized Plasma FIB-SEM platform with proprietary gas chemistries for high-quality delayering of the most current semiconductor devices

- Seamless integration with all CAD models - Specialized for UAM and eVTOL design - Supports analysis of complex aerodynamic phenomena - Accurate prediction of airflow under subsonic and supersonic flight conditions - Detailed analysis of boundary-layer flow separation and viscous effects

Next-generation wheeled military vehicles are essential to secure maneuverability and survivability for efficient power operation even in the worst weather and terrain conditions, so we have developed a run-flat product with pure domestic technology that can drive to a safe zone where tires can be repaired and replaced with quality that meets the standards of the United States and NATO (North Atlantic Treaty Organization) while ensuring stable steering and driving performance by applying our unique design in the event of tire pressure loss due to tire damage. Based on this, we produce and supply run-flat-related products to wheeled military vehicle manufacturers.

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

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.