The MIL-DTL-5015 series of connectors were developed as military standard connectors and applied to various military equipment, it is also used in general industries, medical care, electric vehicles, robots and automation facilities based on its high durability and reliability. This series is threaded coupling and the connection between the contact and the wire is based on soldering. It can be used compatibly with third-party products of the same standard since it is produced according to military standards.

TOPSOLID'SHOPFLOOR MANAGES YOUR ENTIRE MANUFACTURING PROCESS, FROM THE FIRST 3D IMPORT TO THE FINISHED PART... This integrated software assists you throughout the manufacturing process of your parts. From automated import, through the creation and management of tools, the management of programs and loading these onto the CNC, without forgetting the management of the tool stock and the storage of complete tools and tool components. In addition, TopSolid'ShopFloor ensures the connection with all the systems in the production environment (NC, presetting machines, storage systems, etc.)

FIRSTEC is developing primary components such as avionics & environmental control devices for KF-21, T-50, KUH, and LAH/LCH.

Dim. : 2"W High strength type 13 webbing 2 rows of 1/2" MOLLE webbing Removable antimicrobial/FR treated spacer mesh pad 2" Cobra® buckle Vertical pull test 6,800 lbs +/-5% Loop/hook selectable at the inner Velcro Composition Material : 500D Cordura® + ARAMID / PV® Size : SMALL 32" - 35.5" MEDIUM 34.5" - 38" LARGE 38" - 41.5" Color : MC (MultiCam) BMC (Black MultiCam) BK (Black) RG (Ranger Green) CYT (Coyote Brown)

Three hydration ports Two side sleeve Internal hydration bladder pocket PALS webbing for MOLLE attachment Removable shoulder straps Drag handle Removable internal storage zipper pocket Removable beavertail Antimicrobial/FR treated padded spacer mesh Cubic Liters : 10.49L Dim. : 16" H x 8" W x 5" D Composition Material : 500D Cordura® + ARAMID / PV® Color : MC (MultiCam) BMC (Black MultiCam) BK (Black) RG (Ranger Green) CYT (Coyote Brown)

Active phased array fire control radar (AESA) for aircraft A fire control multi-function radar (MFR) that can simultaneously detect, identify, and track multiple targets, including in the air and on the ground, and has SAR and NCTR functions. Aircraft (fighter)-mounted AESA radar is a core sensor for fighter jets to perform day/night/all-weather multiple missions. It operates in multiple modes such as air-to-air/air-to-ground/air-to-sea/support mode, and acquires ground images and air/ground in electronic warfare situations. It is essential mission equipment for fighter jets that detects/tracks multiple targets and supports guided missile guidance and gun shooting.

SAS(360° Situation Awareness System) is a day and night multi sensor system, giving the capability of 360 degree’s situational awareness in the battle field. SAS comes with an uncooled thermal camera as well as a day CMOS sensor supplying crew members in the vehicles with the information out of vehicle for better situational awareness. Each SAS camera provides 90° filed of view and up to 360° with more cameras onto the various kinds of vehicle. SAS-PTV(Panoramic Triple Vision) - Single and Duo (PTV-S / PTV-D) is the device that forces can be aware of 360° surrounding situation in the vehicles through It can me mounted onto M1A1/A2, K1A1/A2 and any other vehicles for optimal performance in complete darkness for driver and commander PTV-S or PTV-D with Wide Field of View provides an optimal image quality an situational awareness capability of the forces SAS comes with an uncooled thermal camera as well as a day CMOS sensor supplying crew members in the vehicles with high definition video for better situational awareness.

1. RCWS - 7.62mm Machine Gun (Compatible of K-16 and M60) - Magazine Capacity : Max. 400 Rounds. 2. EO/IR - Day/Night Range : Detection 4 Km, Recongnition 2 Km - Range Finding Accuracy : less 5m in 4 Km 3. AI Object Recognition - Real-time Object Detection Model - GPU-Based High Speed AI image Processing - Application of Supervised Learning Data