PRODUCT DETAILS

Features

• Hand-size edge AI device built with NVIDIA Jetson Nano 4GB Production Module, with onboard rich IOs including Gigabit Ethernet port, USB 3.0 & USB 2.0 ports, HDMI port. 
• 128 NVIDIA CUDA® cores deliver 0.5 TFLOPs (FP16) to run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.
• Pre-installed NVIDIA JetPack: support entire  and various  for building fast and robust AI application provided by Seeed Edge AI partners, helps develop innovative AI solution for manufacturing, logistics, retail, service, agriculture, smart city, healthcare, and life sciences, etc 
• Incredibly power efficient: powered by Type C 5V/3A, consuming as little as 5 watts.
• Expandable with the onboard interfaces and reComputer case, able to mount on the wall with mounting holes on the back.

Description

reComputer series for Jetson are compact edge computers built with NVIDIA advanced AI embedded systems: J10 () and J20 (Jetson  8GB and Jetson Xavier 16GB). With rich extension modules, industrial peripherals, and thermal management, reComputer for Jetson is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance.  

At Seeed, you will find everything you want to work with  – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, and edge devices, as well as accessories. 

Welcome to check out our . We are looking forward to leveraging local and global resources to accelerate next-gen AI products together with you.

Compare NVIDIA Jetson Nano Dev Kit B01 with reComputer J10 series 

Application: for both beginners and experts, build your next-gen autonomous machine at the edge

Edge AI Applications

reComputer J1010 and J1020, powered by Jetson Nano, are ideal for learning AI  and building AI applications for image recognition, object detection, pose estimation, video processing, and many more. Check out the following application example with tutorials! 

•  and build custom PPE detection
•  

Find in the  page tools and tutorials the community has created to power your development experience, and check out the  page to inspire your next project! 

AI Beginners learning center 

If you would like to get critical AI skills and dive into deep learning.  will be a good choice, which delivers practical, hands-on training and certification in AI at the edge for developers, educators, students, and lifelong learners. You can even earn certificates to demonstrate your understanding of Jetson and AI when you complete these free, open-source courses. 

Please also check out Seeed  guide including getting started with Jetson Nano and also building different projects. 

Developers Tools

Pre-installed Jetpack for fast development and edge AI integration

 begins with NVIDIA JetPack™ SDK which provides a full development environment and includes CUDA-X accelerated libraries and other NVIDIA technologies to kickstart your development.JetPack includes the Jetson Linux Driver package which provides the Linux kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem, and toolchains for the Jetson platform. It also includes security features, over-the-air update capabilities, and much more.

Computer Vision and embedded machine learning

•  Seeed latest open-source project for deploying AI application within 3 nodes. 
•  delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.
• , built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training 
• : build, train, and deploy computer vision applications directly at the edge of reComputer. Get free access to 100 pre-trained Computer Vision Models and train custom AI models in the cloud in a few clicks via enterprise subscription. Check out our  guide to get started with alwaysAI.
• : the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud. 
•  provides tools to convert raw images into a custom-trained computer vision model of object detection and classification and deploy the model for use in applications. See the  for deploying to NVIDIA Jetson with Roboflow.
• : use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step tutorials
• : optimize your models on NVIDIA Jetson Nano. Check  at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices

Remote Fleet Management

Enable secure OTA and remote device management with . Unlock 90 days free trial with code H4U-NMW-CPK.

Robot and ROS Development 

• NVIDIA Isaac ROS GEMs are hardware-accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware. Learn more about  
•  is a cloud-based solution that allows developers to manage autonomous robots more effectively. Nimbus platform supports NVIDIA® Jetson™ and ISAAC SDK and GEMs out-of-the-box.  Check out our  on Connect your ROS Project to the Cloud with Nimbus.

Compare NVIDIA Jetson Nano and Jetson Xavier NX

With Jetson Nano, developers can use highly accurate pre-trained models from TAO Toolkit and deploy with DeepStream. Jetson Nano can achieve 11 FPS for PeopleNet- ResNet34 of People Detection, 19 FPS for, and 101 FPS for FaceDetect-IR-ResNet18 of Face Detection. 

Jetson Xavier NX can achieve 172 FPS for PeopleNet- ResNet34  of People Detection, 274 FPS for, and 1126 FPS for FaceDetect-IR-ResNet18 of Face Detection. Benchmark details can be found on .

Reference: Jetson series benchmark for Deepstream: