Price: $239.99
(as of Sep 26, 2024 19:34:04 UTC – Details)
From the brand
About Us
A provider of artificial intelligence and robot education solutions, and a high-tech enterprise integrating independent research and development, mass production and global sales.
Mission
With the vision and mission of lowering the threshold of creation and popularizing robot education, we continue to develop and innovate robot technology and teaching applications.
Jetson Series Development Kit
Raspberry Pi5 Accessories
Rosmaster Series Robot Kit
Ros Robot Aluminum chassis
Jetcobot Mycobot280 robot arm
Raspberry Pi5-4GB/8GB Robot
UNO Programming 360° robot
Six-legged programmable robot
3DOF AI Crawler Robot
Transbot 3dof Robot Arm Kit
6dof OpenCV Robot
Jetson Nano 4GB SUB Kit
Anti-collision Ackerman robot
Rosmaster X3 for Ros2 Python
Dogzilla S2
The Jetson Nano Developer Kit delivers high-end computing performance to run modern artificial intelligence workloads at a previously minimal form factor, power, and cost. Developers, learners, and makers are now running AI frameworks and models for applications such as image classification, object detection, segmentation, and speech processing.
The developer kit can be powered by micro USB and has extensive I/O from GPIO to CSI. This allows programmers to easily connect a variety of new sensors to enable a variety of AI applications. Very energy efficient with power consumption as low as 5 watts.
Jetson Nano is also supported by NVIDIA JetPack, which includes Board Support Package (BSP), Linux OS, N-VI-DIA CUDA, cuDNN and TensorRT for deep learning, computer vision, GPU computing, multimedia Software library handling and more. The software even works with an easy-to-flash SD card image, making getting started quick and easy.
The same JetPack SDK is used across the entire NVIDIA Jetson product line and is fully compatible with N-VI-DIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces developer complexity and overall effort.
【ROS advanced development materials updated】 In September 2023,ROS1 image processing, docker, ROS2 advanced courses,ROS2 visual processingand other content updates have been completed to help beginners learn ROS programming.
