PRODUCT DETAILS

Features

• NVIDIA Jetson Nano Dev Kit alternative: hand-size Edge AI device built with Jetson Nano 4GB Production Module, the carrier board brings extensive I/Os: GPIO, CSI, Gigabit Ethernet, 4 x USB 3.0 Type A, 1 x Micro-USB, micro SD card is replaced with onboard 16 GB eMMC, Please check  for SSD storage expansion. 
• 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 Jetpack, JetPack SDK includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, etc.
• Support entire  and various  for building fast and robust AI application provided by Seeed Edge AI partners.
• Incredibly power efficient: powered by Type C 5V/3A, consuming as little as 5 watts.

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, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP). 

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.

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:  

If you are developing an application that requires processioning multiple video streams at high resolution while performing ASR/NLP or other GPU-related tasks (CUDA enabled SLAM for example), then its deep learning accelerators can take on CNN inference and leave GPU for other tasks – TX2 or Jetson Nano maybe not satisfied. We are more recommend . Check our comparison blog .

Hardware Overview

The interface-rich reference carrier board

Nearly the same functional design as Jetson Nano Developer Kit

Seeed reference carrier board for J1020 is a high-performance, interface-rich NVIDIA Jetson Nano compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB 3.0, USB 2.0, CSI camera, GPIO, I2C, I2S, fans, and other rich peripheral interfaces. 

Desktop, Wall Mount, Expandable or fit in anywhere

The back screw holes allow you to hang the product as you need. We also provide other editions case like blue, silver and silver mental, whose stackable structure allows you to stack more middle layers to create rooms very easily.

Note

• Name change: 'reComputer Jetson-10-1-H0' has changed to 'reComputer J1020'.
• We have already installed JetPack 4.6 system in the reComputer and you can directly use it by powering in.
• Please check our for reflashing Jetpack and expanding the storage.
• We'd like to hear from you, welcome to join our Discord channel to share your thoughts () 

Part List

Acrylic Cover

x1

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