The new TAC-450-320/340/360 inertial measurement unit (IMU) is a dependable, tactical-grade, non-ITAR inertial system that’s also affordable. It features EMCORE’s exclusive photonic integrated chip (PIC) technology for robust performance and survivability and offers inertial-grade MEMS accelerometers for outstanding FOG-based inertial performance as affordable as MEMS alternatives. The TAC-450-320/340/360 IMU is ideal for autonomous and unmanned commercial and defense applications, mobile mapping and surveying systems, targeting and pointing systems, and guidance and positioning. Highlights Compact and lightweight with high-performance Offered with 16g inertial-grade MEMS accelerometer Robust performance with high bandwidth Technology Details Photonic Integrated Chip Technology EMCORE’s photonic integrated chip (PIC) technology reimagines FOG technology by replacing individual fiber components with an innovative integrated planar optic chip. This results in a FOG with PIC Inside™ that’s reliable and robust. With three of these integrated photonic gyros at its core, the TAC-450-320/340/360 IMU provides the safe, accurate performance autonomous platforms demand. State-of-the-art Electronics EMCORE’s Dual Core DSP electronics with ARM processor require less power for extended product life and offer higher speed with integrated multi-channel processing. Low-loss optical circuits use less light for greater efficiency. Feature Options Developer’s Kit for Rapid Integration The FOG/IMU Developer’s Kit includes easy-to-use software that accelerates your IMU and FOG integration, development, and interface efforts.

We bring all our skills and expertise to bear in product development and in-service support in order to meet our customers' needs: 3D drawings and design Aeroelasticity Thermal, CFD analysis Static and dynamic analysis Electrical/hydraulic/mechanical system design Cost-optimized design, cost-benefit analysis Parametric experiment design Optimization techniques and algorithms Multiphysics modeling Concessions management: control plan, extension of concession, design engineering office, concession justification, impact analysis (FMECA, process/design change, etc.), definition of a repair program, updating of certifications Flight physics Configuration management Design, calculation and modeling Composite or metallic parts

Users can utilize and control autonomous drone services, including mission area setting, automatic dispatch instructions, real-time status checks, and return and charging confirmation, through the control program. This allows for the effective collection of various data, including minimizing manpower, improving accuracy, and responding to emergency situations.

Military and Commercial

The SWE450S is a rugged 3U VPX fully managed Layer-2/3 Ethernet switch aligned with the compute-intensive SOSA profile, delivering high-performance 25/100 GbE switching and flexible I/O reconfiguration. • High-performance 2 Tbps switch fabric with wire-speed throughput • Front: up to 2x 100 GBASE-SR4 (MPO); Rear: 25/100 GbE KR4, 100/1000 BASE-T, USB-C, RS-232Reconfigurable fat-pipe to thin-pipe ports, speed downgrading capability • Dual-core ARM + OpenWare™ management, sanitization support • SOSA-aligned (SLT3), rugged air- & conduction-cooled options

The member companies of GIFAS employ 195,000 people in their aerospace activities in France. These figures do not include temporary workers or the total number of suppliers and subcontractors; this field is estimated to be responsible for 350,000 jobs in France. Our sector is constantly in demand.

1. 용도 : 전자제어기로부터 공급되는 전력으로 빠르게 가열하는 장치 2. 기능 : 8,200 Kcal/hr(차체 특성에 따른 난방효율 최적화 설계, 운용간 안정성 확보) 3. 관련 장비/체계 분야 : 단거리지대공무기(천마) 4. 관심 협업 분야 / 목표시장(국가) - 전차ㆍ장갑차 그 밖의 전투기동장비 / 국내 방위산업시장 및 해외 (미국, 멕시코, 프랑스, 이스라엘, 인도네시아, 말레이시아, 아랍에미리트, 유엔국 등) 5. 기타사 - 영구자석 기반 발전기 기술 및 고효율 에너지변환 기술(특허보유) - 국방규격화 완료, 해외수출 경쟁력 제품

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