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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

Designing a Smart Doorbell with Visual Recognition

Years ago, the only way to recognize who was knocking at your door, without being too obvious, was through a little peephole near the top of the door. Observant visitors would notice the light disappear from the peephole once a face was pressed up against it on the other side. So, in other words, we really weren't fooling anyone into thinking we weren't home if we decided that the visitor was not worthy of us opening the door. Times have certainly changed. We have the technology now to filter unwanted visitors for us without being detected. Using a camera and visual recognition algorithms on the sensory side, we will design an edge analytics application that alerts us to who is at the door. We won't even have to get up.

In this chapter, we will build a Smart Doorbell using a facial recognition library and a Raspberry...

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