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reComputer J1010 -Edge AI Device with Jetson Nano module, M.2 Key E Slot, Type-C connectors, Aluminium case, pre-installed JetPack System

J1010 is a hand-size edge AI box built with Jetson Nano production module, rich set of IOs, aluminum case, passive heatsink, pre-installed JetPack System, ready for your next AI application development and deployment.
Nvidia partner

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PRODUCT DETAILS

Description

reComputer J1010 is a compact edge computer built with NVIDIA Jetson Nano 4GB  production module, comes with 128 NVIDIA CUDA® cores deliver 0.5 TFLOPs (FP16) to run AI frameworks and applications like image classification, object detection, and speech processing. The production modules offers 16GB eMMC, a longer warranty, and 5-10 year operating life in a production environment(Jetson FAQ). We also have reComputer J20 series built with a Jetson Xavier NX module, delivering 21 TOPS AI performance for more complex AI workloads. 

Besides the Jetson module, reComputer J1010 also includes J101 carrier board with onboard microSD card slot, 1*USB 3.0, 2*USB2.0, HDMI, M.2 Key E for WiFI, LTE and Bluetooth, RTC, Raspberry Pi GPIO 40-pin, and so on, as well as a heatsink, and aluminum case. The device has been pre-installed Jetpack 4.6.1, just plug in a USB C 5V/3A power supply, keyboard, mouse, and ethernet cable, you are ready to start your embedded AI journey! If you need more USB 3.0 and onboard M.2 key M for attaching SSD, you can choose reComputer J1020. 

Note: We received customer inquiries they need more storage than 16GB eMMC offered. For orders after July 30th, 2022, we have included the microSD card slot on the carrier board of reComputer J1010. Please check the guide on boot image to microSD card and adjust I/O speed

Features

  • Hand-size edge AI full system delivering modern AI power of 0.5 TFLOPs (FP16)  and rich interfaces for embedded development. 
  • Ready for development and deployment: pre-installed NVIDIA JetPack supports the entire Jetson software stack and industry-leading AI developer tools for building robust AI applications such as logistics, retail, service, agriculture, smart city, healthcare, and life sciences, etc 
  • Power efficient: powered by Type C 5V/3A, consuming as little as 5 watts.
  • Expandable with the onboard interfaces and reComputer case, able to mount on the wall with mounting holes on the back.

If you are a beginner in Deep Learning, NVIDIA prepared this deep learning tutorial of Hello AI World and Two Days to a Demo. You can even earn certificates to demonstrate your understanding of Jetson and AI when you complete free, open-source courses. For most applications, you also need to connect with cameras, and you might need plug-and-play Grove sensors to use with Raspberry Pi HAT to extend more ideas.

Please also check out Seeed wiki guide including getting started guide also different projects such as use helmet detection and deploy a custom YOLOv5 model at Jetson Nano(fewer datasets, faster inference at 27FPS on reComputer J10 and 60FPS on J2021 of Jetson Xavier NX). 

Application

Find in the Jetson Community to inspire your next project!

If you work for an AI enterprise of ISV or system integrator, 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 products together with you.

 

Compare NVIDIA Jetson Nano Dev Kit B01 with reComputer J10 series 

Product

reComputer J1010

reComputer J1020

NVIDIA Jetson Nano Developer Kit-B01

Module

Jetson Nano 4GB (production version)

Nano (not production version)

Storage

16 GB eMMC

MicroSD (Card not included)

SD Card Slot

Included (On the carrier board)

-

Included (On the module)

Video Encoder

4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 

(H.265 & H.264)

4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)

Video Decoder

4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 

(H.265 & H.264)

4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)

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



4 * USB 3.0 Type-A ;

1 * Micro-USB port for device mode;

4 * USB 3.0 Type-A; 

1 * Micro-USB port for 5V power input  or for device mode

CSI Camera Connect

2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )

Display

1*HDMI Type A

1*HDMI Type A; 

1*DP

1*HDMI Type A; 

1*DP

FAN

1* FAN (5V PWM)

M.2 KEY E

1*M.2 Key E

1*M.2 Key E (Disabled)

1*M.2 Key E

M.2 KEY M

-

1*M.2 Key M

-

RTC

1*RTC Socket

-

Multifunctional port

1* 40-Pin header

Power Supply

USB-Type C 5V⎓3A

DC Jack 12V/2A

DC Jack 5V⎓4A;

Micro-USB 5V⎓2A

Mechanical

130 mm x 120 mm x 50 mm (with case)

130mm x120mm x 50mm (with case)

100 mm x 80 mm x 29 mm

Note

If use some GPIO libraries that causes floating voltage 1.2V~2V , GPIO issues on the carrier board could happen as the normal voltage should be 3V.
This is a common situation on the carrier boards, for both the reComputer series and official Nvidia Jetson developer kit.
Thus, aftersales / warrenty does not come into effect regarding this isssue.
For further information, refer to NVIDIA official document.

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.

Hardware overview

Reference carrier board

Nearly the same functional design as Jetson Nano Developer Kit. We have upgraded the carrier board with micro SD card slot.

The old version

The latest version

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 metal, whose stackable structure allows you to stack more middle layers to create rooms very easily.

Part List

Acrylic Cover x1
Aluminum Frame x1
Jetson Nano module x1
Heatsink x1
J101 Carrier board x1

We will not include a power supply, please add this power adapter

We will not include a 3V TC battery (CR1220)

 

ECCN/HTS

HSCODE 8471419000
USHSCODE 8471490000
UPC
EUHSCODE 8471707000
COO CHINA
CE 1
EU DoC 1
FCC 1
KC 1
REACH 1
RoHS 1
UK DoC 1
UKCA 1

LEARN AND DOCUMENTS

Learn

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.
In this wiki, we are going to deploy a Deep Learning model on reComputer J1010 that could detect prohibited items (knives) with the reComputer J1010 where we use one reComputer J1010 as our inference server.
We are pleased to bring you our new experience on the reComputer built with Jetson Nano for quick and easy object recognition. It includes Warehouse Security and Farm Guards two demos in is wiki.
Since the J101 Carrier Board has inserted SD card slot, we provide this wiki for you to boot NVIDIA System from SD card for the carrier board. You can also change CLK frequency here.
This is the wiki shows you how to install NVIDIA System based on Seeed Studio J101 Carrier Board
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.
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.
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.
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.

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