reComputer J2012 - Edge AI Device with Jetson Xavier NX 16 GB module, Aluminium case, pre-installed JetPack System
J2012 is a hand-size edge AI box built with Jetson Xavier NX 16GB module, rich set of IOs, aluminum case, cooling fan, pre-installed JetPack System, ready for your next AI application development and deployment.
- 10+: $679.00
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.
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 Studio, 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.
Comparison among reComputer J20 series and Official Dev Kits
|NVIDIA Jetson Xavier NX Developer Kit||reComputer J2012||reComputer J2021||reComputer J2022|
|Module||Xavier NX (not production version)||Xavier NX 16GB (production version)||Jetson Xavier NX 8 GB||Jetson Xavier NX 16GB|
|AI Perf||21 TOPS|
|GPU||384-core NVIDIA Volta™ GPU|
|CPU||6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3|
|Memory||8 GB 128-bit LPDDR4x @ 51.2GB/s||16 GB 128-bit LPDDR4x @ 59.7GB/s||8 GB 128-bit LPDDR4x @ 59.7GB/s||16 GB 128-bit LPDDR4x 59.7GB/s|
|Storage||MicroSD (Card not included)||16 GB eMMC 5.1|
2x 4K @ 30 | 6x 1080p @ 60 | 14x 1080p @ 30 (H.265/H.264)
|2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265)
2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 108p30 (H.264)
2x 4K @ 60 | 4x 4K @ 30 | 12x 1080p @ 60 | 32x 1080p @ 30 (H.265)
2x 4K @ 30 | 6x 1080p @ 60 | 16x 1080p @ 30 (H.264)
|2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265)
2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)
1*RJ45 Gigabit Ethernet Connector (10/100/1000)
|4 * USB 3.1 Type A Connector;
1 * Micro-USB port for Device mode;
|4 * USB 3.0 Type A Connector;
1 * Micro-USB port for Device mode;
|4 * USB 3.1 Type A Connector；
1* USB Type-C (Device mode)
|CSI Camera Connect||2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )|
|Display||1*HDMI Type A; 1*DP|
|FAN||1* FAN(5V PWM)|
M.2 KEY E
|1*M.2 Key E(WiFi/BT included)||1*M.2 Key E|
M.2 KEY M
1*M.2 Key M
|-||1*RTC Socket||RTC 2-pin
|Multifunctional port||1* 40-Pin header|
|DC Jack 19V 4.74A (MAX 90W)||12V/5A(Barrel Jack 5.5/2.1mm)|
|103 mm x 90.5 mm x 31 mm||130mm x120mm x 50mm|
For both beginners and experts, it is designed to help you to build your next-gen autonomous machine at the edge.
Edge AI Applications
reComputer J20 series, powered by Xavier NX, are ideal for building autonomous applications and complex AI tasks of image recognition, object detection, pose estimation, semantic segmentation, video processing, and many more.
license plate detection
sentiment analysis(webinar: learn your customer with AI by Zenus smart camera),
Edge AI into the Wild: Wildfire detection
Agriculture: weeding machine, Tractors, Livestock detection
Healthcare: medical imaging analysis
AI Beginners learning center
If you would like to get critical AI skills and dive into deep learning. NVIDIA’s Deep Learning Institute (DLI) 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 wiki guide including getting started with Jetson Nano and also building different projects.
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
- Deci: optimize your models on NVIDIA Jetson Nano. Check webinar at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices
NVIDIA® Riva is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.
Remote Fleet Management
Enable secure OTA and remote device management with Allxon. 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 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.
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 DashCamNet-ResNet18 of Vehicle Detection, 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 DashCamNet-ResNet18 of Vehicle Detection, and 1126 FPS for FaceDetect-IR-ResNet18 of Face Detection. Benchmark details can be found on NVIDIA®’s DeepStream SDK website.
Reference: Jetson series benchmark for Deepstream: end-to-end application performance from data ingestion, decoding, image processing to inference
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 recommend reComputer J2012 and J2021. Check our comparison blog here.
The interface-rich reference carrier board
Nearly the same functional design as Jetson Xavier NX Developer Kit
Seeed carrier board for reComputer J2021 is a high-performance, interface rich NVIDIA Jetson Xavier NX compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB 3.1 Gen2, 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.
1. Global (3)
2. Europe (7)
• Comet Electronics (Bulgaria)
• Tinytronics (The Netherlands)
• Antratek Electronics (The Netherlands, EU)
• Totonic (Switzerland, EU)
• Cenval S.L. (Spain)
• Zonepi (Czech Republic)
• Unmanned Tech (UK)
3. Asia (9)
• Ozdisan Electronics (Turkey)
• Macfos (India)
• Hennes (Taiwan, China)
• iCShop (Taiwan, China)
• Switch Science (Japan)
• Marutsu (Japan)
• DigiWare (Indonesia)
• GJ Tech (Thailand)
• Cytron (Malaysia)
4. Oceania (1)
• PB Tech (New Zealand)
- 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 3V RTC battery (CR1220）
- 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)
LEARN AND DOCUMENTS
SHARED BY USERS
from order viewThis user did not leave any comments.
from order viewNo problems with the Xavier NX or the pre-installed Jetpack. Power supply feels quality and also works fine.
I do however, have an issue with the supplied case. With the lid attached to the case, there is almost no clearance between the intake fan on the NX and the lid. This blocks the fan and completely negates the cooling on the NX. I'm getting temps of ~75C at full load WITHOUT the lid and ~95C and thermal throttling with it. I added some spacers to prop the lid up about 5mm and now have a consistent ~75C and no throttling again.
This might be a fine case for the passively cooled nano, but clearly no one actually tried putting a NX in here and running it at full bore.
from product detail summaryNice alternative for NVIDIA NX dev kit, kudos to Seeed support and docs, surprised for flashing firmware service!
Previously we used Jetson NX Dev Kit for video streaming analysis but the supply has been the long-time issue. We tested reComputer NX as an alternative. it comes with pre installed jetpack, however we ran into the issue when rebooting system. I would like to thank to seeed team for detailed support and wiki doc helped us for rebooting image to SSD.
from product detail summaryGood quality, the device works efficiently, worth every penny.