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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

Questions

Having learned the lessons in this chapter, try answering the following questions on your own:

  1. True/False. The Smart Doorbell application ignores a face it doesn't recognize.
  2. True/False. Upon setting up a Python virtual environment, there are only two libraries available.
  3. True/False. OpenCV is a library for computer vision.
  4. What is the name of the Python library we used to recognize a face?
  5. What are the names of the two custom classes used in the Camera script?
  1. True/False. We use the paho-mqtt library to publish MQTT messages.
  2. True/False. The Face class is instantiated with the location of a folder containing photos of faces.
  3. True/False. When the Smart Doorbell application recognizes a face, it displays the name of that person on the screen.
  4. True/False. We use the dashboard component, mqtt out, to subscribe to the external MQTT server.
  5. True/False. Text-to-speech...
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