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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

Using edge intelligence with microcontrollers

As microcontrollers become more powerful, they can process more at the edge. Machine learning-type applications using microcontrollers, particularly in the field of machine vision, are becoming more common. The relatively low cost of these microcontrollers makes it easy to fill up a workshop with many different models and brands.

In this section, we will look at a few of these microcontrollers before we build a QR code reader using the Maix K210 microcontroller.

Exploring the various models of camera-based microcontrollers

The majority of camera-based microcontrollers are based on the ESP32. The two main programming languages for ESP32-based microcontrollers are Arduino C and MicroPython...

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