A cost-effective and reliable EO/IR solution designed for unmanned platforms, combining compact design with strong performance. The system integrates QVGA/VGA-class infrared sensors and 2–20 megapixel EO cameras, providing versatile options to meet different operational requirements. o Infrared (IR) Sensor: QVGA/VGA resolution, optimized for detection and recognition in short-to-mid range surveillance o Electro-Optical (EO) Module: 2MP–20MP visible light cameras with high-resolution imaging, adaptable to multiple mission profiles o Design Philosophy: Lightweight, compact, and robust for integration into unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and ground robotics o Key Value: Balances price competitiveness, system reliability, and modular scalability for mass deployment

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.

SEMIL-2000GC is an extreme-rugged IP69K dustproof and waterproof edge AI platform in a 2U 19" rack-mount form factor. SEMIL- 2000GC incorporates Neousys' best-in-class thermal design to ensure fanless maximum GPU performance in wide range -40°C to 70°C temperatures. The system is also integrated with an NVIDIA® L4 GPU that offers up to 2.5 times the performance over Tesla T4.

Instead of relying on limited data center infrastructure or building from the ground up, AWS Modular Data Center delivers a cost-effective, self-contained modular data center solution that supports customers’ data center scale workloads. With this offering, defense customers can securely store, analyze, and interpret petabytes worth of data in real-time to gain military advantage in the most isolated environments.

FLAMEMASTER has formulating and compounding capabilities for sealants, adhesives, and coatings made from polysulfides, epoxies, silicones, and rubbers, among others. The product line includes corrosion-resistant materials, mid- and lightweight sealants, electrical potting compounds, and thermal barriers.

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 Most Complete Selection with Lightning Fast (Same-day!) Availability for: AS85049 (M85049), D38999, MIL-DTL-26500, MIL-DTL-28840, MIL-DTL-83513, MIL-DTL-83538, MIL-DTL-83723, MIL-S-81824, MS17349, MS27291 and Other Military Standard and Commercial Backshell Derivatives.

Slim, ergonomic full coverage vest Perfect fit for women 360 degree soft armor protection Taktic buckle system for quick connect & release Antibacterial/FR treated padded spacer mesh system Poly mesh cummerbund for increased ventilation Flush admin chest pocket with internal elastic straps PALS webbing for MOLLE attachment Zipper for MV Assaulter's Zip-On Back Panels Increased structural integrity and reduced rear deformation Compatible with our entire accessories line Soft armor included Composition Material : 500D Cordura® + ARAMID / PV® Size : Small : 8.5" x 11.5" Plate Pocket Medium : 9.3" x 12.3" Plate Pocket Large : 10" x 13" Plate Pocket XLarge : 10.9" x 13.8" Plate Pocket Colors: MC (MultiCam) BMC (Black MultiCam) BK (Black) RG (Ranger Green) CYT (Coyote Brown)