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ThinkRobotics Edge AI Device with Jetson Xavier NX Module, Aluminium Case, Based on reComputer J2012 / J2021

SKU: SBC2066-8

₹ 83,202.99

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ThinkRobotics Edge AI Device with Jetson Xavier NX Module, Aluminium Case, Based on reComputer J2012 / J20218GB₹ 83,202.99
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Edge AI Device with Jetson Xavier NX Module

Aluminium Case | Pre-Installed Jetpack | reComputer J2012 / J2021

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).

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.

 

Features

Hand-size edge AI device built with Jetson Xavier NX 16GB Production Module, delivering 384 NVIDIA CUDA® cores and up to 21 TOPs AI performance, with a compact form factor of 130mm × 120mm × 50mm.
NVIDIA Jetson Xavier NX Dev Kit alternative: the carrier board provides rich I/O including a Gigabit Ethernet port, 4 × USB 3.0 Type-A ports, HDMI port, and DP port.
Pre-installed NVIDIA JetPack, supporting the entire Jetson software stack and various developer tools from Seeed Edge AI partners, enabling fast and robust AI application development for manufacturing, logistics, retail, service, agriculture, smart city, healthcare, and life sciences.
Power-efficient operation: consumes as little as 10 watts while delivering high-performance, accurate, multi-modal AI inference at the edge.
Expandable through onboard interfaces and the reComputer case; supports wall mounting using the mounting holes on the back.

 

Description

reComputer J202 is a high-performance, interface-rich NVIDIA Jetson Nano / Xavier NX compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB3.1 Gen 2, M.2 key E wifi / BT, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, Fan, and other rich peripheral interfaces. It has the same functional design and size as the carrier board of NVIDIA® Jetson Xavier™ NX DEVELOPER KIT.  

 

Functionality

With the NVIDIA Jetson module assembled, it could support NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.

With its multiple camera connectors, it is suitable for running multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. 

 

Specifications

Module Compatibility Xavier NX
PCB Size / Overall Size 100mm × 80mm
Display 1 × HDMI, 1 × DP
CSI Camera 2
Ethernet 1 × Gigabit Ethernet (10/100/1000M)
USB 4 × USB 3.1 Type-A (10Gbps for NX, 5Gbps for Nano)
1 × USB Type-C (Device mode)
M.2 Slots 1 × M.2 Key E, 1 × M.2 Key M
Fan 1 × Fan Connector
CAN 1 × CAN
Multifunctional Port 1 × 40-Pin, 1 × 12-Pin
RTC RTC 2-pin, RTC socket (reserved)
Power Supply 12V / 5A (Barrel Jack 5.5 / 2.1mm)

 

Edge AI Applications

Work with up to 21 TOPS AI performances provided by the Jetson Xavier NX, it delivers the capability to develop and test power-efficient, small form factor intelligent solutions with accurate, multi-modal AI inference across industries.

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! 

Please also check out Seeed wiki guide including getting started with Jetson Nano and also building different projects. 



Comparison with NVIDIA Xavier NX Dev Kit carrier boards

 

 Hardware Overview



Parts List (Assembled)

Item Quantity
reComputer J202 – Carrier Board for Jetson Nano and Xavier NX with 4 × USB 3.1, M.2 Key 1
Nvidia Jetson Xavier NX SOM (8GB / 16GB) 1
Official Jetson Xavier NX Heatsink with Fan 1
12V / 5A 60W Power Adapter 1
re_computer Case – Compatible Enclosure for Popular SBCs 1

 

What is included with this edge AI device and which Jetson module is installed?
The package includes the reComputer J202 carrier board, Nvidia Jetson Xavier NX SOM (8GB or 16GB), official heatsink with fan, 12V 5A 60W power adapter, and the reComputer case.
Which Xavier NX configurations are supported by this carrier board?
It supports Nvidia Jetson Xavier NX SOM in 8GB or 16GB variants and uses the same form factor as the Xavier NX developer kit carrier board.
What kinds of AI tasks can this device handle at the edge?
It delivers up to 21 TOPS AI performance and supports real time inference for tasks such as image classification, object detection, segmentation, pose estimation and NLP.
What are the key input output options and expansion features?
The board provides HDMI 2.0, DP, Gigabit Ethernet, four USB 3.1 ports, USB C device port, M.2 Key E and M slots, CSI camera, CAN, GPIO, I2C, I2S, and a fan connector for cooling.
How is this device powered and can I mount it easily in my setup?
It uses a 12V 5A power supply and can operate with power as low as 10 watts for efficient edge AI. It has a compact size and supports wall mounting via back mounting holes.
Welcome to the discussion thread for ThinkRobotics Edge AI Device with Jetson Xavier NX Module, Aluminium Case, Based on reComputer J2012 / J2021
Feel free to ask questions, share tips or report issues.
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Description
Ask AI about this product

Edge AI Device with Jetson Xavier NX Module

Aluminium Case | Pre-Installed Jetpack | reComputer J2012 / J2021

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).

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.

 

Features

Hand-size edge AI device built with Jetson Xavier NX 16GB Production Module, delivering 384 NVIDIA CUDA® cores and up to 21 TOPs AI performance, with a compact form factor of 130mm × 120mm × 50mm.
NVIDIA Jetson Xavier NX Dev Kit alternative: the carrier board provides rich I/O including a Gigabit Ethernet port, 4 × USB 3.0 Type-A ports, HDMI port, and DP port.
Pre-installed NVIDIA JetPack, supporting the entire Jetson software stack and various developer tools from Seeed Edge AI partners, enabling fast and robust AI application development for manufacturing, logistics, retail, service, agriculture, smart city, healthcare, and life sciences.
Power-efficient operation: consumes as little as 10 watts while delivering high-performance, accurate, multi-modal AI inference at the edge.
Expandable through onboard interfaces and the reComputer case; supports wall mounting using the mounting holes on the back.

 

Description

reComputer J202 is a high-performance, interface-rich NVIDIA Jetson Nano / Xavier NX compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB3.1 Gen 2, M.2 key E wifi / BT, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, Fan, and other rich peripheral interfaces. It has the same functional design and size as the carrier board of NVIDIA® Jetson Xavier™ NX DEVELOPER KIT.  

 

Functionality

With the NVIDIA Jetson module assembled, it could support NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.

With its multiple camera connectors, it is suitable for running multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. 

 

Specifications

Module Compatibility Xavier NX
PCB Size / Overall Size 100mm × 80mm
Display 1 × HDMI, 1 × DP
CSI Camera 2
Ethernet 1 × Gigabit Ethernet (10/100/1000M)
USB 4 × USB 3.1 Type-A (10Gbps for NX, 5Gbps for Nano)
1 × USB Type-C (Device mode)
M.2 Slots 1 × M.2 Key E, 1 × M.2 Key M
Fan 1 × Fan Connector
CAN 1 × CAN
Multifunctional Port 1 × 40-Pin, 1 × 12-Pin
RTC RTC 2-pin, RTC socket (reserved)
Power Supply 12V / 5A (Barrel Jack 5.5 / 2.1mm)

 

Edge AI Applications

Work with up to 21 TOPS AI performances provided by the Jetson Xavier NX, it delivers the capability to develop and test power-efficient, small form factor intelligent solutions with accurate, multi-modal AI inference across industries.

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! 

Please also check out Seeed wiki guide including getting started with Jetson Nano and also building different projects. 



Comparison with NVIDIA Xavier NX Dev Kit carrier boards

 

 Hardware Overview



Parts List (Assembled)

Item Quantity
reComputer J202 – Carrier Board for Jetson Nano and Xavier NX with 4 × USB 3.1, M.2 Key 1
Nvidia Jetson Xavier NX SOM (8GB / 16GB) 1
Official Jetson Xavier NX Heatsink with Fan 1
12V / 5A 60W Power Adapter 1
re_computer Case – Compatible Enclosure for Popular SBCs 1

 

FAQ
What is included with this edge AI device and which Jetson module is installed?
The package includes the reComputer J202 carrier board, Nvidia Jetson Xavier NX SOM (8GB or 16GB), official heatsink with fan, 12V 5A 60W power adapter, and the reComputer case.
Which Xavier NX configurations are supported by this carrier board?
It supports Nvidia Jetson Xavier NX SOM in 8GB or 16GB variants and uses the same form factor as the Xavier NX developer kit carrier board.
What kinds of AI tasks can this device handle at the edge?
It delivers up to 21 TOPS AI performance and supports real time inference for tasks such as image classification, object detection, segmentation, pose estimation and NLP.
What are the key input output options and expansion features?
The board provides HDMI 2.0, DP, Gigabit Ethernet, four USB 3.1 ports, USB C device port, M.2 Key E and M slots, CSI camera, CAN, GPIO, I2C, I2S, and a fan connector for cooling.
How is this device powered and can I mount it easily in my setup?
It uses a 12V 5A power supply and can operate with power as low as 10 watts for efficient edge AI. It has a compact size and supports wall mounting via back mounting holes.
Reviews
Forum
Welcome to the discussion thread for ThinkRobotics Edge AI Device with Jetson Xavier NX Module, Aluminium Case, Based on reComputer J2012 / J2021
Feel free to ask questions, share tips or report issues.
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For more discussion Click Here

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