Armada is one of the worlds leading defence technology analysis magazines since 1976. The editorial includes technology analysis, information about ongoing procurement programmes worldwide, news analysis, comments and interviews from top defence officials. It has become the go to defence encyclopaedia for the defence community, especially those who make purchasing and procurement decisions.

CATIS™ is an ultra-high-resolution, small satellite imaging radar device independently developed by Lumir. It consists of three components: the radar signal transmission/reception device SCEU, an active phased array antenna SATA, and a data downlink antenna KaPA. This X-band imaging radar device is designed for small satellites weighing 150 kg, offering an ultra-high resolution of 0.3 m. It transmits wideband RF signals to the observation area while orbiting at an altitude of 500 km and receives the reflected signals to acquire Earth observation data.

KAI participates in the system integration of the KSLV-II and development of its first-stage propellant tank while trying to secure the technology of Space Launch Vehicle.

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.

Short-Wave Infrared(SWIR) Camera is an imaging device that detects reflected light in the 0.9–1.7 μm wavelength range. Compared to visible light, SWIR enables longer-distance observation and provides high-resolution imagery even in degraded visual environments, such as fog, haze, or dust, where conventional visible cameras cannot operate effectively. These capabilities are realized through the use of InGaAs sensors, offering precise detection and surveillance that are unattainable with visible-light imaging. Accordingly, SWIR cameras serve as an advanced imaging solution not only for military, security, and disaster response applications, but also for industrial inspection and research fields.

SCD’s 17μm VOx Microbolometer technology is the ideal choice for any LWIR VGA system. With its exceptional image quality, ultra-low NETD, rapid imaging capability, and low weight, SCD’s Microbolometer ranks as one of the top LWIR Video Engines on the market. Designed for applications that require minimal Size, Weight, and Power (SWaP), SCD’s VOx technology offers flexible and easy-to-deploy thermal imaging solutions. SCD is always by our customers’ side, providing them with the best solutions tailored to their needs.

LightIR series key features: • High MTF performance • Extremely compact, light, configurations • Suitable for a wide range of low-SWaP applications • Maintains focus through the entire zoom range • Compatible with major MWIR and LWIR detectors • Designed to withstand harsh environmental conditions

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.