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 world’s first satellite dedicated to blue carbon monitoring, launched in January 2025. Equipped with an AI-powered onboard processor, BlueBON processes electro-optical data directly in orbit, reducing latency and eliminating the need for energy-intensive ground-based processing. This establishes a new model for sustainable, application-driven EO missions.

Additive manufacturing: - delivers compact, high-efficiency transmission coolers with optimized fluid paths, reducing pressure loss and enhancing thermal performance in compact spaces. - provides custom designed oil coolers with improved heat dissipation, ensuring reliable performance, reduced weight, and enhanced durability in demanding environments. - enables integrated multi-domain liquid cooling solutions, providing precise thermal management and compact designs across complex systems with diverse cooling needs.

Specification Array Format : 1280 × 1024 Pixel pitch : 10㎛ Spectral range : 0.9㎛ ~ 1.7㎛ (SWIR) Operability : ≥ 99.5% Quantum Efficiency : 70% @ 1550nm Application Near-infrared Imaging Imaging Spectroscopy Surveillance Medical Science and Biology Astronomy and Scientific Material inspection Food inspection Forgery detection

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

· Based on proven KSS-III submarine, highly reliable platform · Full lithium-ion battery system with over 7 days submerged endurance without snorkeling · Integrating X-rudder configuration to enhance maneuverability and control performance · Dedicated SOF Lockout Trunk optimized for special force operations with inflatable boats, engines and gears for all SOFs

Consists of a Data Transmission and Recording Unit (DTRU) for data transmission and collection, and a Removable Mass Memory (RMM) for data storage. Stores pre-planned flight mission data in the RMM on the ground and transmits it to the aircraft via the DTRU. Collects various mission data (flight data, monitoring data, video data, and audio data) during flight, stores it in the RMM, and transmits it to the ground for mission analysis. - x5 ARINC-818 Recording as H.264 - x2 Analog audio recording - x7 MIL-STD-1553B Bus Monitoring - x2 Gigabit Ethernet Monitoring - 512GB Solid-State Disk (up to 2TB) - Size : 160.1x146.0x232.4 mm - Weight : 4.25Kg - Power : MIL-STD-704F (28VDC, 58W) - Environment: MIL-STD-810G - EMI/EMC: MIL-STD-461G

ABC leader in test bench has, through the acquisition of CAPRA, skills and experience in the manufacture and production of electronic cards. In the world of the special machine some demands exceed or do not match with the characteristics of standard components. In this case ABC is able to meet these needs.