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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

Coding setup

Now, create a new IoT Edge project. To do this, open Visual Studio and install the Azure IoT Edge extension, as well as the Docker extension. Then, using Ctrl + Shift + P, open the command window, type Azure IoT Edge: into the Search bar, and select Azure IoT Edge: New IoT Edge Solution:

Once you've done this, you will see a wizard that asks you to name the project. Then, the wizard will have you add a module. A project can have numerous modules that do different tasks. These modules can be written in different languages or use Azure Machine Learning Services to incorporate prebuilt models on that platform. In our case, we are making a custom Python module. It will then ask you for the location of the Azure Container Registry for the module, so provide the location as required, as shown in the following screenshot:

 

From here, we can develop against the Raspberry Pi. One thing to note on developing machine learning on a Raspberry Pi is that tasks such as...

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