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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

From a coding perspective, using OpenCV abstracts the hardware away. It does not matter if you are using a $5 Raspberry Pi Zero or a $120 LattePanda; the only things required for this recipe are a computer and a camera. Most laptops have built-in cameras, but for a desktop computer or a single board computer (SBC), such as a Raspberry Pi or LattePanda, you will need a USB web camera.

Next, you will need to install OpenCV. As mentioned earlier, there are ways of getting OpenCV on constrained devices. These are all unique to the device in question. In our case, we will put a PiCam module on a Raspberry Pi Zero. The following is an image of a PiCam module for reference:

To add the PiCam to the Pi Zero, you simply pull the black tabs from the connector, insert the PiCam module, and then push in the tab, as shown in the following image:

From here you need to enable the cameras in your Raspberry Pi. You will need to plug a monitor, keyboard, and mouse...

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