Hands-On Edge Analytics with Azure IoT:Design and develop IoT applications with edge analytical solutions including Azure IoT Edge
pages 页数：262 pages
Publisher Finelybook 出版社：Packt Publishing (21 May 2020)
Design,secure,and protect the privacy of edge analytics applications using platforms and tools such as Microsoft’s Azure IoT Edge,MicroPython,and Open Source Computer Vision (OpenCV)
Edge analytics has gained attention as the IoT model for connected devices rises in popularity. This guide will give you insights into edge analytics as a data analysis model,and help you understand why it’s gaining momentum.
You’ll begin with the key concepts and components used in an edge analytics app. Moving ahead,you’ll delve into communication protocols to understand how sensors send their data to computers or microcontrollers. Next,the book will demonstrate how to design modern edge analytics apps that take advantage of the processing power of modern single-board computers and microcontrollers. Later,you’ll explore Microsoft Azure IoT Edge,MicroPython,and the OpenCV visual recognition library. As you progress,you’ll cover techniques for processing AI functionalities from the server side to the sensory side of IoT. You’ll even get hands-on with designing a smart doorbell system using the technologies you’ve learned. To remove vulnerabilities in the overall edge analytics architecture,you’ll discover ways to overcome security and privacy challenges. Finally,you’ll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure.
By the end of this book,you’ll have learned how to use edge analytics programming techniques and be able to implement automated analytical computations.
What you will learn
Discover the key concepts and architectures used with edge analytics
Understand how to use long-distance communication protocols for edge analytics
Deploy Microsoft Azure IoT Edge to a Raspberry Pi
Create Node-RED dashboards with MQTT and Text to Speech (TTS)
Use MicroPython for developing edge analytics apps
Explore various machine learning techniques and discover how machine learning is related to edge analytics
Use camera and vision recognition algorithms on the sensory side to design an edge analytics app
Monitor and audit edge analytics apps
Table of Contents
Section 1:Getting Started with Edge Analytics
Chapter 1:Introduction to Edge Analytics
Chapter 2:How Does loT Edge Analytics Work?
Chapter 3:Communications Protocols Used in Edge Analytics
Section 2:Understanding Edge Analytics Technologies
Chapter 4:Working with Microsoft Azure loT Hub
Chapter 5:Using the Raspberry Pi with Azure loT Edge
Chapter 6:Using MicroPython for Edge Analytics
Chapter 7:Machine Learning and Edge Analytics
Chapter 8:Designing a Smart Doorbell with Visual Recognition
Section 3:The Road Ahead
Chapter 9:Security and Privacy in an Edge Analytics World
Chapter 10:What Next?
Other Books You May Enjoy