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Artificial Intelligence for IoT Cookbook

You're reading from   Artificial Intelligence for IoT Cookbook Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781838981983
Length 260 pages
Edition 1st Edition
Languages
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Author (1):
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Michael Roshak Michael Roshak
Author Profile Icon Michael Roshak
Michael Roshak
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Table of Contents (11) Chapters Close

Preface 1. Setting Up the IoT and AI Environment 2. Handling Data FREE CHAPTER 3. Machine Learning for IoT 4. Deep Learning for Predictive Maintenance 5. Anomaly Detection 6. Computer Vision 7. NLP and Bots for Self-Ordering Kiosks 8. Optimizing with Microcontrollers and Pipelines 9. Deploying to the Edge 10. About Packt

Getting ready

In this recipe, we are going to deploy Z-Spikes on a Raspberry Pi with a Sense HAT. The hardware itself is a fairly common development board and sensor setup for people learning about IoT. In fact, students can send their code to the International Space Station to be run on their Raspberry Pi and Sense HAT. If you do not have the equipment, there is an alternative code in the GitHub repository that simulates the device.

Once you have powered on your Raspberry Pi and attached your Sense HAT, you will need to install SciPy. In Python, you can usually install everything you need with pip, but in this case, you will need to install it through the Linux operating system. To do this, run the following commands in a terminal window:

sudo apt update
apt-cache show python3-scipy
sudo apt install -y python3-scipy

You will then need to pip install numpy, kafka, and sense_hat. You will also need to set up Kafka on a PC. There are instructions in Chapter 1, Setting up the IoT and...

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