NVIDIA Orin NX M.2 4G/5G Drone Computer behuizing
SKU:
FLYC-300-EC
Fabrikant:
Neousys
- SKU : FLYC-300-EC
- type de processeur : Processor N
- température de fonctionnement : -20°C/+70°C
NVIDIA Orin NX M.2 4G/5G Drone Computer behuizing
Note:
• The model must be specified when ordering (8GB/16GB).
• Need to order Jetson Orin NX 8GB/16GB and a M.2 2230 Storage with barebone system together.
Détails
Spécifications
Téléchargements
Introduction
Neousys FLYC-300 is an NVIDIA Jetson Orin NX based mission computer tailor-made for drone and UAV applications. Designed to coincide and collaborate with the flight controller that is responsible for stabilizing and controlling drone’s flight, FLYC-300 fuels compelling 100 TOPS AI performance combining versatile sensors to empower true autonomy of drone and advance applications such as autonomous navigation, obstacle avoidance, object detection and tracking.Catering to the diverse needs of cameras and sensors like RGB, hyperspectral, infrared, LiDAR, and 3D cameras, FLYC-300 boasts a versatile array of connectivity options, including two Ethernet, two USB3.2, and two GMSL2 ports. Making it ideal for real-time video analytics applications such as drone imagery collection, environmental monitoring, infrastructure monitoring. To command the flight of drone, FLYC-300 can communicate seamlessly with the flight controller through configurable UART, Ethernet, and CAN ports. It also accommodates a wide voltage input range from 4S to 14S battery packs via the XT30 DC-IN connector. The system is compatible and supports installation of 5G/ 4G modules for real-time transmission of images, videos, and data.
FLYC-300 can elevate unmanned systems to another level by combining vision devices with a powerful NVIDIA Jetson-based AI platform. Intelligent autonomous UAV systems can deliver enhanced operational effectiveness, risk reduction, and real-time information, making them a valuable repertoire. With its 297 grams ultralightweight design, versatile connectivity, FLYC-300 is ready for integration and deployment into real-world applications.
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