reComputer J2012 - Edge AI Device with Jetson Xavier NX 16 GB module, Aluminium case, pre-installed JetPack System

PRODUCT DETAILS

Features

• Hand-size edge AI device built with Jetson Xavier NX 16GB Production Module, delivering 384 NVIDIA CUDA® cores delivers up to 21 TOPs AI with small form factor of 130mm x120mm x 50mm.
• NVIDIA Jetson Xavier NX Dev Kit alternative: the carrier board brings rich IOs including Gigabit Ethernet port, 4 USB 3.0 Type-A ports, HDMI port and DP port
• Pre-installed NVIDIA JetPack, support entire Jetson software stack and various developer tools 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 
• Power-efficient: as little as 10 watts, delivering high performance, accurate, multi-modal AI inference at the edge.  
• 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 builtith NVIDIA advanced AI embedded systems: J10 (Nano 4GB) and J20 (Jetson Xavier NX 8GB and Jetson Xavier 16GB). With rich extension modules, industrial peripherals, 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 NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, and edge devices, as well as accessories.

Welcome to check out our free Edge AI partner program. We are looking forward to leveraging local and global resources to accelerate next-gen AI product together with you.

Application: build your next-gen autonomous machine at the edge

Edge AI Applications

reComputer J2011 and J2022 are ideal for building autonomous applications and complex AI tasks of image recognition, object detection, pose estimation, semantic segmentation, video processing, and many more. 

• Traffic management
• license plate detection
• car detection
• pedestrian detection
• Industry 4.0: 
• helmet detection, hard hat detection, and custom PPE detection
• visual anomaly detection using NVIDIA Deepstream IoT
• Retail: 
• sentiment analysis(webinar: learn your customer with AI by Zenus smart camera),
• retail store items detection
• Robotics: 
• under-ice sensing ROV
• warehouse towing robot 
• Edge AI into the Wild: Wildfire detection 
• Agriculture: weeding machine, Tractors, Livestock detection 
• Healthcare: medical imaging analysis 

Developers Tools

Pre-installed Jetpack for fast development and edge AI integration

Jetson software stack 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

• Edge AI no code Vision tool, Seeed latest open-source project for deploying AI application within 3 nodes. 
• NVIDIA ®DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.
• NVIDIA® TAO tool kit, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training 
• alwaysAI: 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 wiki guide to get started with alwaysAI.
• Edge Impulse: the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud. 
• Roboflow 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 full documentation for deploying to NVIDIA Jetson with Roboflow.
• YOLOv5 by Ultralytics: use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step wiki tutorials

Speech AI

• NVIDIA® Riva is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.

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 NVIDIA Developer Tools 
• Cogniteam Nimbus 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 webinar on Connect your ROS Project to the Cloud with Nimbus.

Model Optimization

• Deci: optimize your models on NVIDIA Jetson devices. Check webinar 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 Allxon. Unlock 90 days free trial with code H4U-NMW-CPK.

Jetson Xavier NX and Jetson AGX Orin MLPerf v2.0 Results

• These are preview results, and can be found at: v2.0 Results | MLCommons

Hardware specification

Comparison among reComputer J20 series and Official Dev Kits 

Interface-rich reference carrier board :

Nearly the same functional design as Jetson Xavier NX Developer Kit

Seeed reference carrier board for Jetson-20-1-H2 is a high-performance, interface-rich NVIDIA Jetson Xavier NX compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB 3.0, USB 2.0, M.2 key E, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, fans, and other rich peripheral interfaces. It has the same functional design and size as the carrier board of NVIDIA® Jetson Xavier™ NX DEVELOPER KIT.

Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.

Desktop, Wall Mount, or fit in anywhere

With an overall dimension of 130mm*120mm*50mm, it is only around 1/10 of the size of an ordinary computer case which makes it possible to fit in edge AI scenarios. 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.

Part List

1 x Acrylic Cover

1 x Aluminium Frame 

1 x Jetson Xavier NX 16GB module 

1 x Heatsink 

1 x Carrier board 

1 x 19V/4.74A (MAX 90W) Power Adapter (Power cable not included)

We will not include a power cord, please choose a suitable form according to your country.
We will not include a 3V RTC battery (CR1220）

Note

• Name change: 'reComputer Jetson-20-1-H1' has changed to 'reComputer J2011'.
• We have already installed JetPack 4.6 system in the reComputer and you can directly use it by powering on.
• Please check our wiki for reflashing Jetpack and expanding the storage.
• We'd like to hear from you, welcome to join our Discord channel to share your thoughts (Jetson edge AI) 

ECCN/HTS

LEARN AND DOCUMENTS

Documentations

• reComputer J202x datasheet.pdf
• reComputer J202 carrier board datasheet.pdf

Learn

[Documentation] Seeed's NVIDIA Jetson powered devices and carrier boards comparison

Explore the interfaces, AI performances, and all differences among Seeed's edge AI devices carrier boards for Jetson.

[Wiki] Maskcam: Crowd Face Mask Usage Monitoring based on NVIDIA Jetson Nano

MaskCam is a prototype reference design for a Jetson Nano-based smart camera system that measures crowd face mask usage in real-time, with all AI computation performed at the edge. MaskCam detects and tracks people in its field of view and determines whether they are wearing a mask via an object detection, tracking, and voting algorithm.

[Wiki] reComputer Jetson User Guide

We represent you the user guide of reComputer Jetson Series, providing kickstart for the beginners, documentation for usage, elaboration for the advance, AI tools and projects for reference, comprehensively help you from beginner to advancer.

[Wiki] Getting Started with Allxon on NVIDIA® Jetson Devices

You can securely manage NVIDIA® JetPack 4.6 onward versions with Cyber Security at the Edge protecting all networks and hardware. Here are some operations about installing, getting code, adding devices etc.

[Blog] Detecting safety helmets in real-time

We partnered with Tryolabs to develop a Computer Vision solution together to detect safety helmets in real-time. The proposed plan consists of creating an end-to-end solution to monitor the use of safety helmets in real-time and deploying it to Seeed reComputer Jetson -20, Jetson Xavier NX powered edge device.

[Blog] Seeed Partners with Allxon to Enable Efficient Remote Hardware Management Services for NVIDIA Jetson Platform

Seeed is glad to partner with Allxon to deliver a secure remote management solution for Jetson Platform. At Seeed, you will find everything you want to work with NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, and kits, as well as third-party boards and accessories.

[Others] Zenus Smart Camera: Sentiment analysis in the retail industry becomes more accessible

Zenus leverages the power of Artificial Intelligence to create incredible products while driving the ethical use of facial analysis. Seeed supports the Zenus AI camera with Seeed's high-performance, interface-rich NVIDIA Jetson Nano/Xavier NX/TX2 NX compatible carrier board.