Designed for existing in-service EGI upgrade and compatibility with open architecture requirements. Perfectly suited for military helicopters, aircraft, fighter jets and UAVs, the BlackNauteTM Embedded GNSS and Time INS (EGTI) sets the new standard for resilient navigation performance.

The PANDION Q450 is a modular drone that allows users to swap out its detachable D-ARK module pack, enabling flexible configurations of cameras and internal PCBs. As the drone industry diversifies, users can select purpose-specific module packs, allowing a single product to meet various consumer needs with multiple configurations. The D-ARK module pack integrates the camera, flight controller (FC), and all circuitry, allowing users to upgrade, modify specifications, or perform maintenance simply by swapping the module. Designed to offer an optimized configuration for a wide range of users, this modular system provides a cost-effective solution tailored to diverse needs in the drone industry. PANDION Q450 has a solid design with water and dust resistance for rugged environments.

- The 2nd generation mightyZAP series supporting dynamic speed & current control as well as position control along with position & current feedback - Built-in drive circuit, position sensor, 12mm diameter coreless DC motor and gear box - 27/40/53/90mm stroke option - Rated Load of 12N ~ 100N according to gear ratio for each stroke (Speed is inversely proportional to Rated Load, so the stronger the Rated Load, the slower the speed.) -Support RS-485 or TTL / PWM communication * TTL / PWM communication version operates by automatically recognizing the input TTL / PWM signal * When using PWM communication, only the position command is available without position feedback (For feedback feature, use TTL or RS-485 communication) Both MODBUS RTU and IR open protocols available (Default : IR Open protocol)

KNF offers high qualified Aluminium products used in a wide range of markets around the world. *No.1 Stockholding & Qualified Aluminium Supplier *A1XXX/A2XXX/A3XXX/A5XXX/A6XXX/A7XXX Series and more *Business Areas: Aerospace & Defense / Semiconductor & Display / Marine & Silo / Automotive & EV Battery / Others

- Rader · Detection Range : 1.5~10km, Customizable · Radar Type : AESA - LONG RANGE EO/IR · Identification Range : 3.0km · Optical Zoom : 66x (EO), 22x (IR) - JAMMER · Jamming Distance : 20km (GNSS), 10km @2km (ISM) - RCWS (REMOTE CONTROLLED WEAPON SYSTEM) · Weapon : 40mm AGL, 12.7mm MG · Ammo Capacity : 48 rounds (AGL), 200 rounds (MG) · Lethal and Nonlethal 40mm Air Burst Munition Fireable

Features ▪ Xilinx Zynq-7000 Series ARM-Cortex-A9 Core ▪ 10/100/1000 Ethernet Interface ▪ General-Purpose Input/Output ▪ SDLC Interface ▪ RS-232 Interface ▪ VPX 3U Form Factor ▪ Wedge lock, Plug-in Design ▪ Customized Rear I/O Pin Map

Our products are used for manufacturing interior design components for civil and military aircraft construction. Sandwich structures are used in many areas of an aircraft (storage compartments, interiors, wings) to reduce weight. In order to structurally strengthen the honeycombs or insert them, they often have to be filled during the production process. Typical materials are one- and two-component epoxy resins with a very high proportion of hollow glass spheres. These require extremely gentle handling, as they would otherwise be destroyed, which in turn would result in an increase in density. Common application patterns are beads, circles, full surfaces and egde-filling. The job is often done manually, which results in long production times and high running costs due to material waste. Lack of reproducibility is just as problematic as the health hazard often posed by these media. The ViscoTec solution: Material is continuously fed to the dosing system by removal from a large container. With the help of a robot or axis system, suitable structures can be mapped reliably. A coordinated overall system delivers a dispensing result according to specification, in which operator interaction is reduced to a minimum.

We developed and optimized an object detection and tracking solution tailored for edge environments using Intel Atom platforms with OpenVINO. The system combines MobileNetV3-SSDLite for detection and MobileNetV3-Small for tracking, enabling efficient real-time performance on resource-constrained devices. Through model optimization and inference acceleration, we achieved over 2x improvement in FPS and more than 50% enhancement in inference speed, all while maintaining detection and tracking accuracy. This demonstrates the solution’s suitability for lightweight, low-power edge AI applications