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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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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

Creating the Node-RED dashboard

In Chapter 6, Using MicroPython for Edge Analytics, we used Node-RED for our dashboard. We will use Node-RED again to create the dashboard for the Smart Doorbell application. Using our dashboard, a message will be displayed indicating who is at the door. A computer voice will also announce the same message. I will be using Node-RED on a Windows 10 machine but you can use whichever OS suits you.

For those that have not installed Node-RED or the dashboard components, please refer to Chapter 6, Using MicroPython for Edge Analytics, for instructions on installing these components. The flow diagram for the Smart Doorbell Dashboard will look like the following:

We will start by creating a list of Node-RED components that we will use to build the dashboard.

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