Mission-Driven Interconnect Designs For Ground, Sea, Air, and Space Applications

The system is designed to maximise installation flexibility, through optional power and diagnostics data over RF (permitting the use of a single cable), and a highly reconfigurable baseplate to allow the mounting holes and connector type/ position to be tailored to the target platform. Use of Chelton’s established and field-tested GNSS Anti-Jam core firmware provides a high degree of protection against complex threat scenarios and in highly dynamic environments. A software definable core allows future upgradeable ‘Signal Intelligence Apps’ to be hosted, providing the user with situational awareness of the battlefield environment and allows feedback into mission planning activities.

Spring probes are designed to optimize performance in high reliability, multicycle applications. Smiths Interconnect’s spring probes are compliant which makes them ideal for blind mate applications as they self correct for x, y, z, rotational and angular misalignment of the target. Offered in compressed heights less than 2 mm and utilized on pitches as tight as 0.4 mm, they are well suited for high density, board-to-board, battery contact and high frequency applications. Mixed signals and functionality can be designed into a single connector.

It is designed to be suitable for difficult environments and can be applied to high torque and angle control. Applications are Missile defense, Torpedoes, Anti-drones system, Underwater drones.

The personal pocket-sized ISR capability allows imediate situational awareness for soldiers executing dismounted operations globally. The system provides real-time live motion video back to the operator and the opportunity to take snapshots during missions.

Digital mission engineering tools connect every stage of the engineering product lifecycle, from initial design to operation. They enable reality-based 3D simulation across multi-domain environments such as air, space, land, and sea by incorporating high-resolution terrain, satellite orbits, RF and radar systems, and sensor environments to accurately replicate real mission conditions. With accurate dynamics-based physical models at the core, these tools provide quantitative analysis of relative positioning between systems, changes in altitude and attitude, line-of-sight availability, and communication link status. Users can predict and evaluate mission elements such as sensor operations, communication links, platform maneuvers, and orbit optimization through scenario-based simulations.

Based on GaN, Si RF, and GaAs processes, Advance RF provides integrated solutions from chip design to modules and systems. We supply high-performance, highly reliable RF products for wireless infrastructure, satellite communications, automotive electronics, industrial measurement, and aerospace. Advance RF's product line consists of GaN, GaAs, and Si RF-based products, and in various configurations, covers a wide frequency band from DC to 100 GHz. Advance RF provides high-performance RF solutions optimized for a variety of applications, and its broad product portfolio allows for flexible design responses to customer needs. We have a rapid development cycle and stable mass production capabilities that enable rapid response to new sampling. Based on our own assembly plant, we maintain a development and mass production system capable of handling all aspects of customization, modularization, and reliability testing in-house.

The SmartVDO Eye series AI cameras use the NVIDIA® Orin™ NX Super platform, offering a comprehensive, all-in-one AI monitoring solution. The NeuroEye-I series, designed for industrial inspection, features Sony high-resolution, high-sensitivity sensors and supports both rolling and global shutters for capturing detailed, high-quality images. The NeuroEye-S series, built for environmental safety, offers autofocus, auto-aperture, low-light night vision, and IP66 protection, ensuring reliable operation in harsh conditions. Combined with YUAN’s powerful AI development kit, QDEEP, AI models can be rapidly deployed and customized to enhance operational efficiency.