AI Navigation Algorithm The Certus Mini range features Advanced Navigation’s revolutionary AI neural network sensor fusion algorithm. The algorithm was designed for control applications and has a high level of health monitoring and instability prevention to ensure stable and reliable data. High-Performance MEMS The Certus Mini range contains high performance MEMS sensors that are put through Advanced Navigation’s intensive 8 hour temperature calibration process. This provides the highest accuracy possible from this sensor class and outputs consistent accuracy over the full temperature range from -40°C to 85°C. Reliability The Certus Mini range has been designed from the ground up for mission-critical control applications where reliability is essential. Built using a safety-oriented real-time operating system, all software is designed and tested to high safety standards with fault-tolerance in mind. The Certus Mini range is designed, manufactured and tested to military standards. L1/L5 Multi Constellation RTK GNSS The Certus Mini N supports L1/L5 dual frequencies, and GPS, GLONASS, Galileo, BeiDou and NavIC constellations. Access to multiple constellations and frequencies provides enhanced accuracy, availability and performance even in difficult environments such as multi-storey urban canyons. The GNSS receiver has 10 mm position accuracy with real-time RTK or post-processed PPK. Extensive Interoperability Certus Mini seamlessly communicates with a wide range of industry standard protocols including NMEA 0183 and CANOpen making it easy to integrate into existing systems. Certus Mini effortlessly interfaces with ROS 1, ROS 2, and Ardupilot, streamlining your development processes for maximum efficiency and effectiveness.

This is a contact-type and non-contact optical cable assembly for high-speed transmission of large-capacity signals such as video signals. It is a cable assembly for optical signal transmission in compliance with MIL standards by utilizing a contact/non-contact connector developed by Yeonhab Precision.

L14F type liquid level switches

Localization development in progress for general components of Tank

Vector AI provides real-time, high-resolution ISR data with minimal signature and a modular architecture that allows it to adapt to various mission profiles. With thousands of operational hours, including in active combat in the Ukraine, Vector AI is trusted by defence and security forces globally. Key Features: Up to 180 minutes of flight time Silent electric propulsion Fixed-wing performance with VTOL convenience AI-powered onboard computing and object recognition Open systems architecture for flexible payload integration Seamless switch to multicopter configuration using shared hardware

The SC-DSPRTM, a Seedcore Co., Ltd representative product, is a backplane transmission module that performs the I/O function of the DSP282A. When the DSP282A board is plugged into the motherboard(Backplane) in front of the Chassis, you can extend the I/O function of the board by plugging the SC-DSPRTM board into the back of the Backplane. The DSP282A board consists of two computing nodes. To support this, Ethernet, USB, MMCX, and mini-HDMI ports are allocated to each node, and synchronization signal input ports can also be used simultaneously on both nodes.

It supports both daytime and nighttime monitoring, making it highly versatile in various missions. The drone is optimized for portability, allowing operators to carry and deploy it with ease. Its compact design ensures rapid response capabilities while maintaining reliable performance in the field.

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