SparkFun JetBot AI Kit v3.0 (without NVIDIA Jetson Nano Developer Kit)

  • BrandSparkFun

Description

The SparkFun JetBot AI Kit V3.0 is a great launchpad for creating entirely new AI projects for makers, students, and enthusiasts interested in learning AI and building fun applications. It’s straightforward to set up and use and is compatible with many popular accessories.

Several interactive tutorials show you how to harness AI's power to teach the SparkFun JetBot to follow objects, avoid collisions, and more. The Jetson Nano Developer Kit (not included in this kit) offers useful tools like the Jetson GPIO Python library and is compatible with standard sensors and peripherals; including some new python compatibility with the SparkFun Qwiic ecosystem.

Additionally, the included image is delivered with the advanced functionality of JetBot ROS (Robot Operating System) and AWS RoboMaker Ready with AWS IoT Greengrass already installed. SparkFun’s JetBot AI Kit is the only kit currently on the market ready to move beyond the standard JetBot examples and into the world of connected and intelligent robotics.

This kit includes everything you need to get started with JetBot minus a Phillips head screwdriver and an Ubuntu desktop GUI. If you need these, check out the includes tabs for some suggestions from our catalogue. Please be aware that the ability to run multiple neural networks in parallel may only be possible with a full 5V-4A power supply.

Features

  • SparkFun Qwiic ecosystem for I²C communication
  • The ecosystem can be expanded using 4x Qwiic connectors on GPIO header
  • Example Code for Basic Motion, Teleoperation, Collision avoidance, & Object Following
  • Compact form factor to optimize existing neural net from NVIDIA
  • 136° FOV camera for machine vision
  • Pre-flashed MicroSD card
  • Chassis assembly offers expandable architecture
  • No soldering required

Included

  • 64 GB MicroSD card - pre-flashed SparkFun JetBot image:
    • Nvidia Jetbot base image with the following installed: SparkFun Qwiic python library package
    • Driver for Edimax WiFi adapter
    • Greengrass
    • Jetbot ROS
  • Leopard Imaging 136FOV wide-angle camera & ribbon cable
  • EDIMAX WiFi Adapter
  • SparkFun Qwiic Motor Driver
  • SparkFun Micro OLED Breakout (Qwiic)
  • All hardware & prototyping electronics needed to complete your fully functional robot!

Required

  • NVIDIA Jetson Nano Developer Kit

Downloads

Product form

The SparkFun JetBot AI Kit V3.0 is a great launchpad for creating entirely new AI projects for makers, students, and... Read more

€ 219,00 incl. VAT
Members € 197,10

    • Ship today? Order within May 04, 2024 17:00:00 +0200

    Details

    SKU: 19685
    EAN: KIT-15769

    Description

    The SparkFun JetBot AI Kit V3.0 is a great launchpad for creating entirely new AI projects for makers, students, and enthusiasts interested in learning AI and building fun applications. It’s straightforward to set up and use and is compatible with many popular accessories.

    Several interactive tutorials show you how to harness AI's power to teach the SparkFun JetBot to follow objects, avoid collisions, and more. The Jetson Nano Developer Kit (not included in this kit) offers useful tools like the Jetson GPIO Python library and is compatible with standard sensors and peripherals; including some new python compatibility with the SparkFun Qwiic ecosystem.

    Additionally, the included image is delivered with the advanced functionality of JetBot ROS (Robot Operating System) and AWS RoboMaker Ready with AWS IoT Greengrass already installed. SparkFun’s JetBot AI Kit is the only kit currently on the market ready to move beyond the standard JetBot examples and into the world of connected and intelligent robotics.

    This kit includes everything you need to get started with JetBot minus a Phillips head screwdriver and an Ubuntu desktop GUI. If you need these, check out the includes tabs for some suggestions from our catalogue. Please be aware that the ability to run multiple neural networks in parallel may only be possible with a full 5V-4A power supply.

    Features

    • SparkFun Qwiic ecosystem for I²C communication
    • The ecosystem can be expanded using 4x Qwiic connectors on GPIO header
    • Example Code for Basic Motion, Teleoperation, Collision avoidance, & Object Following
    • Compact form factor to optimize existing neural net from NVIDIA
    • 136° FOV camera for machine vision
    • Pre-flashed MicroSD card
    • Chassis assembly offers expandable architecture
    • No soldering required

    Included

    • 64 GB MicroSD card - pre-flashed SparkFun JetBot image:
      • Nvidia Jetbot base image with the following installed: SparkFun Qwiic python library package
      • Driver for Edimax WiFi adapter
      • Greengrass
      • Jetbot ROS
    • Leopard Imaging 136FOV wide-angle camera & ribbon cable
    • EDIMAX WiFi Adapter
    • SparkFun Qwiic Motor Driver
    • SparkFun Micro OLED Breakout (Qwiic)
    • All hardware & prototyping electronics needed to complete your fully functional robot!

    Required

    • NVIDIA Jetson Nano Developer Kit

    Downloads

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