Become well-versed with best practices for implementing automated analytical computations
Discover real-world examples to extend cloud intelligence
Develop your skills by understanding edge analytics and applying it to research activities
Description
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
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Colin Dow has been 3D printing since 2013 starting with the laser cut wooden frame version of the Ultimaker 3D printer. He has gone through a dozen or so 3D printers over the years from MakerBots, PrintrBots, early Prusa i3s, delta printers, and liquid resin printers. Colin has been working with OpenSCAD since 2014 using it with 3D printers to design and manufacture model rocketry parts for his model rocketry business. Through his aerospace workshops he has introduced many students to 3D printing including in-class demonstrations of 3D printing. Over the last few years Colin has been designing and building automated drones for his drone startup using 3D printers and OpenSCAD.
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