SparkFun JetBot AI Kit Jetson Nano 人工智慧小車開發套件 NVIDIA 推薦


SparkFun JetBot AI Kit Jetson Nano 人工智慧小車開發套件 NVIDIA 推薦

NT$8,300 NT$7,650


NVIDIA 推薦 SparkFun JetBot AI Kit Jetson Nano 人工智慧小車開發套件 本套件不含 Jetson Nano 開發板

SparkFun JetBot AI Kit Jetson Nano 人工智慧小車開發套件 可立即組裝,且過程簡單又有趣,完全不需高超技術。將 SparkFun Qwiic 生態系統搭配 NVIDIA Jetson Nano 與 JetBot 人工智慧套件一起使用,在新原型中快速連結感應器、LCD 和馬達驅動器。此外,套件還隨附互動式人工智慧教學、JetBot ROS (機器人作業系統) 以及不需額外設定即可使用的 AWS 雲端支援。

使用 JETBOT 人工智慧機器人套件 啟動你的人工智慧, SparkFun JetBot AI Kit 是一個機器人平台,可由 NVIDIA 的Jetson Nano Developer Kit 提供人工智慧運算。這個SparkFun 套件基於開源NVIDIA JetBot!  這個版本的 SparkFun JetBot AI 套件是一個很棒的啟動板,本套件可以為已經擁有Jetson Nano的製造商,學生和愛好者創建全新的AI項目,並希望通過他們的機器學習平台邁出下一步。它易於設置和使用,並與許多流行的配件兼容。幾個教程向您展示如何利用 AI 的強大功能來訓練 SparkFun JetBot 跟踪對象,避免碰撞等等。Jetson Nano Developer Kit提供了有用的工具,如 Jetson GPIO Python 庫,兼容常見的傳感器和外設; 包括一些新的python與SparkFun的兼容性 Qwiic 快速連接系統。

該套件包括開始使用JetBot所需的一切,減去Jetson Nano開發套件,Phillips頭螺絲刀,基本焊接設置和Ubuntu桌面GUI。如果您需要這些,請查看包含標籤,了解我們目錄中的一些建議。請注意,只有使用完整的5V-4A電源才能並行運行多個神經網絡。

JetBot AI Kit Jetson Nano 人工智慧小車開發套件 的特色

  • 用於I 2 C通信的SparkFun Qwiic生態系統
  • 可以使用GPIO接頭上的4x Qwiic連接器擴展生態系統
  • 示例代碼:基本運動,遙操作,避免碰撞和對象跟隨
  • 緊湊的外形,優化NVIDIA現有的神經網絡
  • 145°FOV攝像頭,用於機器視覺
  • 預閃microSD卡
  • 機箱組件提供可擴展的架構


  • 64GB MicroSD卡 – 預閃存的SparkFun JetBot 韌體檔案:
    • Nvidia Jetbot 基本映像安裝如下:SparkFun Qwiic python 庫包
    • Edimax WiFi適配器的驅動程序
    • Greengrass
    • Jetbot ROS
  • Leopard Imaging 145FOV廣角相機和帶狀電纜
  • EDIMAX WiFi適配器
  • SparkFun串行控制電機驅動器
  • SparkFun Micro OLED突破(Qwiic)
  • 完成全功能機器人所需的所有硬件和原型電子設備!
  • 注意 – 裝配時需要一些焊接和十字頭螺絲刀

Sparkfun 線上組裝教學


The SparkFun JetBot AI Kit is a robot platform that can be powered by your own Jetson Nano Developer Kit by NVIDIA. This SparkFun kit is based on the open-source NVIDIA JetBot! We understand that not everyone has access to multiple 3D printers on each floor, and a whole warehouse of electronics so we wanted to build a kit from ready to assemble parts to get you up and running as quickly as possible. This version of the SparkFun JetBot AI Kit is a great launchpad for creating entirely new AI projects for makers, students and enthusiasts who already own a Jetson Nano and are looking to take the next step with thier machine learning platform. It’s straightforward to set up and use and is compatible with many popular accessories. Several interactive tutorials show you how to harness the power of AI to teach the SparkFun JetBot to follow objects, avoid collisions and more. The Jetson Nano Developer Kit offers useful tools like the Jetson GPIO Python library, and is compatible with common sensors and peripherals; including some new python compatibility with the SparkFun Qwiic ecosystem.

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

  • SparkFun Qwiic ecosystem for I2C communication
  • 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
  • 145° FOV camera for machine vision
  • Pre-flashed microSD card
  • Chassis assembly offers expandable architecture



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