ZYX SPACE is an intelligent design platform that integrates artificial intelligence into the architectural design process. It is designed to minimize repetitive tasks through automation and empower designers to focus on creativity and decision-making. With its advanced AI engine trained on over 80,000 architectural drawings, ZYX SPACE can automatically recognize 2D floor plans, identify key elements such as walls, doors, and windows, and generate accurate 3D models in real time. Designers can experience seamless 2D-to-3D transformation without the need for manual modeling. ZYX SPACE also offers powerful daylight analysis features, simulating natural sunlight movement to visualize indoor lighting conditions and energy efficiency through heatmaps. This enables informed design decisions that consider both aesthetics and sustainability. One of the platform’s standout capabilities is converting image-based drawings into CAD-compatible vector files. ZYX SPACE not only extracts geometric data but also recognizes numerical information embedded in scanned or photographed blueprints, making legacy data usable in modern design workflows. Through auto-learning and labeling features, the platform continuously improves its recognition accuracy by learning from accumulated project data. It automatically classifies architectural components and spatial configurations, boosting productivity and reducing errors. ZYX SPACE also supports AI-driven interior rendering. It analyzes room layouts to suggest optimal furniture placements and delivers real-time visualizations based on different interior concepts, helping designers and clients envision the final space with clarity. When combined with ZYXCAD, ZYX SPACE provides a highly integrated design environment—enabling end-to-end automation from drafting to visualization. This powerful synergy allows architects, engineers, and designers to accelerate their workflows, improve precision, and unlock new levels of creativity.

Low Size, Weight and Power (SWaP) at only 297g. Up to 100 TOPS GPU by NVIDIA® Jetson Orin™ NX Supports multiple camera and sensor interfaces 2x GbE and 2x USB3 for RGB/ Infrared/ hyperspectral cameras and lidar/ radar 2x GMSL2 for HDR/ 3D cameras Built-in UART and CAN to interact with flight controller 1x M.2 2230 for storage and 4G/5G communication ready Supports 4S-14S drone battery pack Compatible GMSL2 cameras with pre-built drivers

The CAS-500(Compact Advanced Satellite), phase #1 project is the project in which KAI aims to develop a CAS500-1 by operating a joint design team with Korea Aerospace Research Institute(KARI) and to transfer the government’s satellite development technology to the industries. Then, KAI initiates the development of the CAS500-2 project and establish the industry-led development as well as mass-production infrastructure.

ALTERNATIVES TO: MS25271 / MS25395 / MS25267 / MS25269 / MS25273 / MS27418

< Frequency Range > ● 20 ~ 1000 MHz < Output Power (W) > ● 100 < Gain (db) > ● 50 < Power Supply (V) > ● 32 < Current (A) > ● 10 < Dimension > ● 177.1 x 95 x 30 (mm)

ARDRONIS는 로데슈바르즈의 드론 대응 솔루션 제품군입니다. 복합 시스템 접근 방식으로 고객이 각각의 고유한 최종 사용자 요구사항에 따라 악의적이고 비협조적 위협을 탐지-식별-위치 확인-추적-검증-대응할 수 있습니다. ARDRONIS가 RC 드론 활동을 탐지하면 드론 신호의 유형을 자동으로 분류하고, 드론의 방향과 조종자를 확인한 다음, 드론이 목표물에 도달할 수 없도록 무선 제어 링크를 차단합니다. 대부분의 상업용 원격 제어 드론은 최신 주파수 가변 파형인 FHSS(Frequency Hopping Spread Spectrum)를 통해 제어합니다(업링크). 기타 일반적인 드론 유형은 Wi-Fi을 통해 제어합니다(업링크). 드론에서 전송하는 신호(다운링크)는 일반적으로 FHSS, Wideband 또는 Wi-Fi 신호입니다.

Safran Electrical & Power offers a wide range of AC & DC contactors & relays designed for aircraft, rotorcraft and harsh environment applications. Multiple voltage levels, ratings, mounting types and auxiliary contact arrangements are available to match any application.

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