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- FOG based Inertial Navigation System for Gyrocompass - Position Accuracy(INS/GPS): < 3 m - Heading Accuracy: < 0.1º  sec (LAT) - Attitude Accuracy(Static): 0.01º - Attitude Accuracy(Dynamic): 0.01º - Operating Voltage: 9 to 36 VDC - Power Consumption: < 15 W (typ.) - Dimension(L x W x H): 330 mm x 192mm x 180mm

Our in-vehicle monitoring solution applies VLM-powered indoor and outdoor cameras to deliver real-time driver and passenger awareness. By integrating AI models such as facial landmark and head pose detection, gaze tracking, object recognition, and human pose estimation, the system supports safety features like drowsiness detection, distraction monitoring, and surrounding object awareness. Optimized for automotive SoCs including Qualcomm, and running on QNX RTOS and Linux, our solution combines model compression, embedded optimization, and a streamlined development pipeline. This ensures reliable, low-latency performance tailored for next-generation connected and intelligent vehicles.

The EL2000 is an LTE femtocell developed for indoor use, providing seamless LTE service in environments such as homes or offices.

We have taken the standard housing configuration of the P1 & P3 mounting dimensions while incorporating true differential pair contacts within the P1 & P3 dimensional constraints. P1 connector housing contains 21 position true differential pair blind mate contacts allowing board designers to carry high density differential pair signals from the LRU via motherboard to daughter-card plug in modules with a single connector P1 type housing.

A super-evolution of the original platform brought about by the present-day tactical requirements and offering specialized features and functions specifically designed and fitted to provide top-notch efficiency, high operating speeds, a low recoil impulse, and a decisive and consistent feel. We took special care to design a weapon that offers very fast emergency reloads even in the most demanding of environments and situations, such as sports shooting, law enforcement or civil defense. The entire furniture set is AK compatible and thus the weapon can be fully configured to fit and use a wide array of accessories, making it suited for any preferences and all tasks.

Solution Overview KWM-Ocelot (AI Electromagnetic Spectrum Reconnaissance System) is a self-developed solution that measures field strength and clearness of 5G/4G base station signals and automatically analyzes abnormal waveforms based on time-series data. Main Features Real-time wideband frequency scanning using an RF detector mounted on unmanned complex systems AI-based signal characteristics and transmitter location analysis Real-time transmission and visualization of analysis data to ground control stations (GCS) via data link Identification of locations such as enemy drone and equipment operation areas, and command posts Effective tracking and jamming of enemy communications Key Advantages Automated signal classification and pattern learning based on AI Real-time visualization of battlefield electromagnetic spectrum distribution Effective signal detection, analysis, and tracking in various military environments Fully in-house developed, enabling rapid technological application and operational optimization Applied Cases Winner of the Grand Prize (Army Chief of Staff Award) at the 2025 Army Artificial Intelligence Idea Contest Real-time reconnaissance of battlefield electromagnetic environments and enemy communication tracking in military operations