The KF-21 is the project which aims to replae the aged fighters in operation, F-4, and F-5 of the Republic of Korea Air Force and develop the indigenous Korean fighter aircraft which is equipped with performances suitable for the future battlefield of the country's air force. Korea's largest-scaled KF-21 project is the national R&D project with a development span of 10 years and 6 months and is driven with Indonesia under international joint development. Based on its development experience and infrastructure of a homegrown airplane, such as the KT-1 basic trainer, T-50 Advanced Jet Trainer, TA-50 Lead-in-Fighter-Trainer, and FA-50 Light Combat Aircraft, KAI is under development of the KF-21 project successfully. Through this project, KAI plans to develop the aerospace technology of Korea and contribute to national peace and security as well as economic development.

L3Harris combines speed, innovation and flawless execution to deliver the best solutions as quickly as possible.

Solution Overview EagleEye is a a synthetic data generation & management platform for AI training that integrates image generation, LLMOps, and MLOps. It automates high‑quality dataset generation, labeling, and model validation—and has been certified “military suitable” and delivered first to the ROK Army AI Center. Main Features Image generation with text/image prompts; object/background customization LLMOps: prompt understanding + image–text labeling workflow MLOps: CV model training/validation, dataset versioning, experiment tracking End‑to‑end pipeline from data preprocessing to model deployment Data augmentation and management for scalable, repeatable training Key Advantages Certified “military suitable”; meets defense operational requirements First AI solution supplied to the ROK Army AI Center, proving reliability One‑stop synthetic data + model ops cuts development/validation time Fully in‑house stack enables rapid updates and mission‑tailored customization 2025: First AI product delivered to the ROK Army AI Center for defense AI projects Used to generate and manage high-quality synthetic imagery for military AI model training and validation

1. Feature - A common optical system supporting two wavelength bands (visible/SWIR) with a CAM structure, capable of up to 10× magnification.

Live Video Sharing: Stream real-time video to remote experts for instant troubleshooting. AR Annotation: Remote experts can overlay AR markers and annotations directly onto the worker's view. Multi-User Collaboration: Multiple participants can join for a seamless remote teamwork experience. Multi-Device Compatibility: Available on PCs, tablets, smartphones, and smart glasses (VisionX) for maximum flexibility.

Our in-vehicle monitoring solution applies VLM-powered indoor and outdoor cameras to deliver real-time driver and passenger awareness. By integrating AI models such as facial landmark and head pose detection, gaze tracking, object recognition, and human pose estimation, the system supports safety features like drowsiness detection, distraction monitoring, and surrounding object awareness. Optimized for automotive SoCs including Qualcomm, and running on QNX RTOS and Linux, our solution combines model compression, embedded optimization, and a streamlined development pipeline. This ensures reliable, low-latency performance tailored for next-generation connected and intelligent vehicles.

SAT-PRE establish emergency communication networks for communication-disrupted areas during natural disasters and catastrophes. SAT-PRE ensures communications between commands in deepest operational areas and also between team members. it maximized communication success in adverse terrain, weather and other terrible conditions. The rate of transfer success is over 90%. The implementation of various communication methods such as voice PTT, automatic location reporting, and specialized transmission and reception using satellites as we reflects the latest technology based on Iridium 2nd generation satellites. The mission control center's CL-700 receives information transmitted from the operational area SAT-PRE in real time for up to 1,000 units and shares on-site situations by linking with other systems.

The SWIR & NIR 25-250mm f/5.5 (NFOV) f/4.0 (WFOV) continuous zoom lens is a first to market low-Size, Weight, and Power (SWaP), compact lens, for the newly introduced 5μm SXGA, as well as for 10μm SXGA, and 15μm VGA SWIR detectors. The SWIR & NIR zoom lens employs a unique mechanical and optical design, resulting in an all-around smaller and lighter unit with only 860gr in weight, and 224mm in length, making it approximately 60% lighter than similar existing SWIR lenses. The SWIR lens is also chromatically corrected to support a broader short-wave IR wavelength regime from 0.7-1.7μm and operates with minimal distortion. The SWIR & NIR 25-250mm f/5.5 (NFOV) f/4.0 (WFOV) continuous zoom lens presents an unrivaled combination of SWaP capabilities, detection range exceeding 26km. Product features: • Continuous zoom in the 0.7-1.7μm SWIR regime • Designed for 5μm, 10μm SXGA & 15μm VGA SWIR detectors • Lightweight (<860 gr) • Detection range >26 km • Enables laser-line detection