Supports non-destructive inspection of aircraft composite skin structures and is composed of a piezoelectric layer sensor, data acquisition equipment, and damage analysis software. Utilizes piezoelectric sensors to generate Lamb-wave and acquire signals, collecting data to accurately detect and assess composite damage. Visualizes inspection results on display such as damage location, size and index. - POD Accuracy: 1 inch 90% or more - POD Precision : Position error within 30 mm - 64 channels / 230 path reference detection time within 10 minutes - Sensor : Resonance resistance less than 400kΩ - Sensor : MIL-STD-810G - Sensor : RTCA DO-160 Section 23.0 - DAQ : x128 Piezoelectric sensor interface

APA-110 is designed to eliminate CO2 emissions with its unique technical characteristics. It can perform the complete service of aircraft at remote parking places with diesel engine and it is also capable to operate from the 50/60Hz, 400V, 3 phase main power supply grid as any electrical GPU, without fuel consumption and with zero operating emissions. The range of different APA configurations with no emissions allow for safer, cleaner and more practical operational conditions for operators and personnel at the location.

RAIBO2 is a quadrupedal robotic platform that uses four legs to navigate to designated locations, observe its surroundings. Based on state-of-the-art robotic control technology, deep reinforcement learning enables highly dynamic, robust, and efficient locomotion. Furthermore, the in-house integration of hardware and software facilitates energy and design optimization, while allowing for extensive customization.

Our advanced mine detector combines photochemical and metal detection technologies, enabling the identification of both metallic and non-metallic mines. Selected in December 2024 for the Global Small but Strong Enterprise Development Program by KRIT, this cutting-edge system is now under development. Backed by a Letter of Commitment from Ukraine, it is set to play a key role in reconstruction and humanitarian demining efforts.

Product Information Frequency signal generator for small target detection High-frequency resolution design and frequency conversion function using DDS method main performance Frequency: Ku-Band ~ Ka-Band Very Small Size, Pulse Mode Output Level: -5dBm min Spurious: -30dBc min Harmonic: -40dBc min Phase Noise: High Performance Frequency Sensibility: 50ppm max Port isolation: 50dBc Min Applicable fields Applicable to ultra-small guided weapon tower system and small radar system

· Wide-area situational awareness through omni-directional cameras and EO/IR sensors · Seamless remote control enabled by LEO satellite communication and USV teaming operation · Multi mission capabilities by interchangeable mission modules such as UUV, UAV and compact rocket modules

SAF-FIRES™ is a standards-based, image generator agnostic, and scalable Call-For-Fire and Close Air Support training simulation with autonomous Smart Trainer suitable for deployment in Joint Fires and accreditable JTAC training simulators. Built upon the same Call-For-Fire and Close Air Support software engine that powers the accredited simulation Fires FST™, SAF-FIRESTM delivers the same mature and complete Joint Fires training solution but makes it available for integration with any DIS, HLA or CIGI compatible simulation or Image Generator. Supporting both conventional near-peer and counter-insurgency operational scenarios, SAF-FIRES™ enables JFOs and JTACs to train realistically in a modern complex battlespace against an agile and adaptive adversary. Heightened realism and cognitively challenging training are enabled through the incorporation of non-combatants, urban clutter, UAV surveillance, various close air support platforms and accurate military targeting procedures.

Operate the automated artillery system according to the operating procedure. It is the highest level controller of the automated artillery system that collects status information from each unit device controller that composes the automated artillery system, diagnoses faults and builds a database. - VxWorks operating system - Operating system recovery function - Building a failure history database in the built-in SSD - Check unit control device status information through communication