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Hands-On Edge Analytics with Azure IoT

You're reading from   Hands-On Edge Analytics with Azure IoT Design and develop IoT applications with edge analytical solutions including Azure IoT Edge

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781838829902
Length 262 pages
Edition 1st Edition
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Author (1):
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Colin Dow Colin Dow
Author Profile Icon Colin Dow
Colin Dow
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: Getting Started with Edge Analytics
2. Introduction to Edge Analytics FREE CHAPTER 3. How Does IoT Edge Analytics Work? 4. Communications Protocols Used in Edge Analytics 5. Section 2: Understanding Edge Analytics Technologies
6. Working with Microsoft Azure IoT Hub 7. Using the Raspberry Pi with Azure IoT Edge 8. Using MicroPython for Edge Analytics 9. Machine Learning and Edge Analytics 10. Designing a Smart Doorbell with Visual Recognition 11. Section 3: The Road Ahead
12. Security and Privacy in an Edge Analytics World 13. What Next? 14. Other Books You May Enjoy

Using MicroPython for an edge analytics application

In Chapter 3, Communications Protocols Used in Edge Analytics, we described the design of a smart heating system for an ice rink. A Raspberry Pi was used to regulate the temperature based on temperature and camera sensory information.

For this chapter's tutorial, we will modify the design. We will use a Pycom LoPy microcontroller instead of a Raspberry Pi. We will also take out the camera and leave the temperature sensor. We will assume that the rink does not have access to Wi-Fi, so we will use the LoRa communication protocol to send updates to an internet-connected LoRa gateway. From the gateway, we will use the MQTT protocol to update an MQTT broker, which will feed into a Node-RED dashboard.

The following are needed for our design:

  • Pycom LoPy or LoPy 4 microcontroller
  • FTDI or Pycom expansion board
  • Antenna pig tails...
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