The EXOpod is the most advanced cubesat deployment system on the market. It is available in 6U/8U, 12U and 16U sizes which can be broken down into smaller slots to accommodate cubesats of any size. EXOpod Nova, the latest generation of the EXOpod line, is rapidly expanding what the cubesat design standard (CDS) is capable of – cubesats launching with Nova can now increase the volume of their lateral protrusions by 400% and their mass by 30%, enabling a wider and more powerful array of satellite designs and use cases.

The semi-automatic ViscoTec mix-on-demand station is already in successful use as a mobile system. For reliable mixing and dosing of two-component materials, in situ. Two-component materials are commonly processed using premix cartridges, hardener rod cartridges or by mixing two components by hand. The disadvantages are obvious: The risk of human error, enormous material waste and high production costs offer every reason for taking the automated route. With ViscoTec filling stations, epoxy resins, polysulfides and polyurethanes can be removed from larger containers and filled on-demand with the exact quantity required. The dosing is volumetric on a component or a filling container. A typical application is dosing in so-called inserts (thread inserts). The compact arrangement of the components on a mobile frame guarantees the operator maximum flexibility. The design as a stationary system has already been implemented several times.

REP series is easy to use for quick mating. The REP panel and cable connectors are a highly cost-effective interconnect system, which solves the constant need for simple and reliable connector solutions in rail applications. A full plastic solution offered in either wire attachment or PCB mounting options to provide rapid assembly installation without requiring additional mounting hardware. Cable receptacle connectors are available to mate with the cable plug connectors for cable-to- cable solutions when needed. The series is qualified to French and European rail standards. The connectors are available as one overmolded plastic part to save assembly time.

Auto Assembly Jig For : Wing Bottom Panel A320 Project 50m (L) x 1.1m (W) x 3.6m (H )

The Boreas 50 fiber optic gyroscope (FOG) is a highly accurate and reliable navigation technology. It’s the result of over 25 years of development in partnership with two research institutions. The gyroscope uses a closed-loop optical coil and an advanced spread-spectrum digital modulation technique to improve accuracy, stability, and reliability while reducing size, weight, power, and cost. Gyrocompass North-Seeking The Boreas range of fiber optic gyroscopes (FOGs) can determine heading without needing a Global Navigation Satellite System (GNSS) or a magnetometer. By sensing the Earth’s rotation, the system’s north-seeking algorithm can acquire an accurate heading. This is possible in static and dynamic conditions, even at high latitudes. Reliability Boreas 50 has been designed from the ground up for rugged reliability. Both the hardware and software are tested and certified to environmental and electromagnetic standards (MIL-STD 461 and MIL-STD 810H). The precision aluminum enclosure is waterproof and dustproof to the IP67 standard. The system is resilient to shock and vibration, allowing it to be used in extreme conditions. Industry-Leading SWaP-C The Boreas 50 FOG Series delivers industry-leading performance with a compact and lightweight design. Excelling in terms of Size, Weight, Power, and Cost (SWaP-C). Multi-Protocol Support The Boreas 50 features multiple interfaces, including Ethernet, CAN, RS232, 1PPS, RS422, and GPIOs. It supports industry standard protocols, including NMEA 0183, CANopen, 1PPS, and ANPP, as well as a wide variety of proprietary protocols. A rich, responsive embedded web interface provides full access to all of the device’s internal functions and data. Internal storage allows for up to one year of data logging.

Our XR-based aircraft maintenance simulator is officially certified by the Ministry of Land, Infrastructure and Transport (MOLIT) of South Korea for training and education. It provides specialized training environments for the A321, B737-MAX, and B737-800NG aircraft, featuring over 80 detailed modules—including procedures for engine removal, main landing gear installation, and more. This subscription-based simulator is fully compatible with smartphones, tablets, and wearable XR devices, enabling seamless access through a cloud-based web service. Users can train anytime, anywhere—perfect for both remote learning and remote maintenance scenarios. Compared to traditional classroom learning, the XR platform is 4 times more effective and requires only one-third the training time. It also improves user confidence in real-world technical applications by up to 275%. By transforming traditional paper manuals into immersive, interactive training environments, the simulator delivers the next generation of aircraft MRO education for both civil and defense sectors.

Digitally recorded distressed and alarmed birds, along with the sounds made by their natural predators are broadcast through high output weather-resistant speakers. This triggers a primal fear and flee response. Super easy installation figure makes the systern portable across crop and place Replaceable, customizable species specific bio- acoustic sound chip according to birds kinds and specific regions Effective Coverage: Up to 50m for one single direction, approximately 5,000 square meter Technology integrated operation system enables sound duration and interval to prevent habituation to the sounds Overcharge, over-discharge protection Sound Pressure: 120-130 db at 1 meter Frequency: 3-5 kHz With severe bird infestations, it is always recommended to use at least 2 bird control methods together. Sonic cannon is a very good to use in conjunction with the bio-acoustic bird repeller.

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