reComputer J1020- Edge AI Device with Jetson Nano module, Aluminium case, pre-installed JetPack System
Seeed Studio
Overview
reComputer J1020- Edge AI Device is an edge AI computer from Seeed Studio built on the NVIDIA Jetson Nano module. Its GPU is 128 NVIDIA CUDA® cores deliver 0.5 TFLOPs (FP16) to run AI frameworks and models for applications like image classificat. Seeed publishes a fixed price for this configuration.
Key Features
- Built on the Jetson Nano 4GB (production version) module
- GPU: 128 NVIDIA CUDA® cores deliver 0.5 TFLOPs (FP16) to run AI frameworks and models for applications like image classificat
- Storage: 16 GB eMMC
- Networking: 1*RJ45 Gigabit Ethernet Connector (10/100/1000)
Ideal For
teams deploying Jetson Nano-class inference at the edge in a finished, cased unit
Product
reComputer J1010
Module
Jetson Nano 4GB (production version)
Storage
16 GB eMMC
SD Card Slot
Included (On the carrier board)
Video Encoder
4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 (H.265 & H.264)
Video Decoder
4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 & H.264)
Gigabit Ethernet
1*RJ45 Gigabit Ethernet Connector (10/100/1000)
USB
1 * USB 3.0 Type A; 2 * USB 2.0 Type A; 1 * USB Type C for device mode; 1 * USB Type C for 5V power input
CSI Camera Connect
2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )
Display
1*HDMI Type A
FAN
1* FAN (5V PWM)
M.2 KEY E
1*M.2 Key E
M.2 KEY M
-
RTC
1*RTC Socket
Multifunctional port
1* 40-Pin header
Power Supply
USB-Type C 5V⎓3A
Mechanical
130 mm x 120 mm x 50 mm (with case)
Acrylic Cover
x1
Aluminum Frame
x1
Jetson Nano module
x1
Heatsink
x1
A206 Carrier board
x1
12V/2A Power adapter (with 5 interchangeable adapter plugs)
x1
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, onboard 16 GB eMMC, Please check here for SSD storage expansion.
Feature
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.
Feature
Pre-installed NVIDIA 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.
Feature
Support entire Jetson software stack and various developer tools for building fast and robust AI application provided by Seeed Edge AI partners.
Feature
Pedestrian detection by Edge Impulse
Feature
Hard hat detection and build custom PPE detection
Feature
Pose Estimation with alwaysAI
Feature
Visual anomaly detection using NVIDIA Deepstream IoT
Feature
Retail store items detection
Feature
Wildfire detection
Feature
Animal detection
Feature
Edge AI no code Vision tool, Seeed latest open-source project for deploying AI application within 3 nodes.
Feature
NVIDIA DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.
Feature
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.
Feature
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
Feature
Remote Fleet Management
Feature
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
Feature
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.
Name change
'reComputer Jetson-10-1-A0' has changed to 'reComputer J1010'.
Feature
We have already installed JetPack 4.6 system in the reComputer and you can directly use it by powering it on.
Feature
Please check our wiki for reflashing Jetpack and expanding storage.
Feature
We'd like to hear from you, welcome to join our Discord channel to share your thoughts (Jetson Edge AI)
Prices may vary. Verify on vendor site.
Quick Specs
- Product
- reComputer J1010
- Module
- Jetson Nano 4GB (production version)
- Storage
- 16 GB eMMC
- SD Card Slot
- Included (On the carrier board)
- Video Encoder
- 4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 (H.265 & H.264)
- Video Decoder
- 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 & H.264)