EmbeddedRelated.com
reComputer J1010

reComputer J1010

MPN: 110061362
Seeed Studio
Single Board Computers reComputer J1010 -Edge AI Device with Jetson Nano module, M.2 Key E Slot, Type-C connectors, Aluminium case, pre-installed JetPack System
101 in stock

Overview

The reComputer J1010 is a compact edge AI device powered by the NVIDIA Jetson Nano production module. It features 4GB of RAM and 16GB of eMMC storage housed in a professional aluminum enclosure with a pre-installed JetPack system. The board includes an M.2 Key E slot for wireless expansion and uses a 5VDC power supply via Type-C connectors.

Why Choose This Part

This device provides a production-ready alternative to the Jetson Nano Developer Kit, featuring a rugged aluminum case and 16GB eMMC for better reliability than SD cards. The integrated M.2 Key E slot allows for easy addition of Wi-Fi or Bluetooth modules, while the panel-mountable design simplifies integration into industrial cabinets.

Applications

Edge AI Inference
Running real-time object detection and image classification models directly at the edge.
NVR and Intelligent Video Analytics
Processing multiple camera streams for security and monitoring using the Jetson Nano's hardware video encoders.
Autonomous Mobile Robots
Acting as the primary controller for small-scale robotics requiring SLAM and computer vision capabilities.
Industrial AIoT
Deploying machine learning models in industrial environments for predictive maintenance or quality inspection.

Key Specifications

Type Box PC
Memory DDR4 (4GB Installed)
Storage eMMC, 16GB
Display Type No Display
Mounting Type Panel Mount
Core Processor ARM Cortex-A57, 4 Core
Expansion Type M.2
Approval Agency CE, FCC
Voltage - Supply 5VDC

Getting Started

The unit comes with NVIDIA JetPack pre-installed, allowing developers to immediately use the CUDA-X stack and AI tools. Users should connect a 5V/3A power supply via the USB-C port and can utilize the J101 carrier board's peripheral headers for custom hardware interfacing. Documentation is available through Seeed Studio for setting up the Ubuntu-based environment.