reComputer J2022 is a hand-size edge AI box built with Jetson Xavier NX 16GB module which delivers up to 21 TOPs AI performance, a rich set of IOs including USB 3.1 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on, aluminum case, cooling fan, pre-installed JetPack System, as NVIDIA Jetson Xavier NX Dev Kit alternative, ready for your next AI application development and deployment.
reComputer series for Jetson are compact edge computers built with NVIDIA advanced AI embedded systems: J10 (Nano 4GB) and J20 (Jetson Xavier NX 8GB and Jetson Xavier 16GB), where the reComputer J2022 is the Jetson Xavier NX 16GB module carried by reComputer J202 carrier board.
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).
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 performance with a small form factor of 130mm x120mm x 50mm.
NVIDIA Jetson Xavier NX Dev Kit alternative: the carrier board brings rich IOs including a Gigabit Ethernet port, 4 USB 3.1 ports, an HDMI port, and a DP port
Pre-installed NVIDIA JetPack: support the 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
Expandable with the onboard interfaces and reComputer case, able to mount on the wall with mounting holes on the back.
Specification :
- NVIDIA Jetson Module : Xavier NX 16GB
- AI Performance : 21 TOPS
- GPU : 384-core NVIDIA Volta GPU
- CPU : 6-core NVIDIA Carmel ARMv8.2 64-bit CPU 6 MB L2 + 4 MB L3
- Memory : 16 GB 128-bit LPDDR4x 59.7GB/s
- Storage : 16 GB eMMC 5.1
- Video Encoder : 2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265) | 2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 108p30 (H.264)
- Video Decoder : 2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265) | 2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)
- Storage Expansion : M.2 Key M (2280) PCIe Gen4.0 SSD (M.2 NVMe SSD 128G included)
- Ethernet : 1x RJ45 Gigabit Ethernet Connector (10/100/1000)
- USB : 4x USB 3.1 Type A Connectorï¼› 1x USB Type-C (Device mode)
- CSI Camera Connect : 2x CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )
- Display : 1x HDMI Type A; 1x DP
- FAN : 1x FAN connector(5V PWM)
- M.2 Key E : 1x M.2 Key E
- M.2 KEY M : 1x M.2 Key M
- RTC : RTC 2-pin; RTC socket
- Power Supply : DC 12V-36V Terminal block 2 pin
- Multifunctional port : 1x 40-Pin header
- Power Requirements : 12V/5A(Barrel Jack 5.5/2.5mm)
- Mechanical : 130 x120 x 50mm
Edge AI Applications
reComputer J20 series, powered by Xavier NX, is 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:
- Retail:
- Robotics:
- Edge AI into the Wild: Wildfire detection
- Agriculture: weeding machines, Tractors, Livestock detection
- Healthcare: medical imaging analysis
Find in the Jetson Community Resources page tools and tutorials the community has created to power your development experience, and check out the Community Projects page to inspire your next project!
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 the webinar at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices
Speech AI
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 connecting your ROS Project to the Cloud with Nimbus.
Compare NVIDIA Jetson Nano and Jetson Xavier NX
Part list :
- 1x Acrylic Cover
- 1x Aluminum Frame
- 1x Jetson Xavier NX 16GB module
- 1x Aluminum heatsink with fan
- 1x Carrier Board
- 1x 12V/5A(Barrel Jack 5.5/2.5mm) Power Adapter (Power cord not included)
Documentations :