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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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Toc

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

How it works...

In this recipe, first, we import OpenCV. We then select the first camera it finds (camera(0)). If we were looking for the second camera it finds, then we would increment the camera number (camera(1)). Next, we check whether the camera is available. There can be several reasons why a camera might not be available. First, it could be opened by something else. You could, for example, open the camera in a different application to see whether it is working and this would prevent the Python application from detecting and connecting to the camera. Another common issue is that releasing the camera step in the code does not get executed and the camera needs to be reset. Next, we capture the video frames and present them on the screen until someone presses the Q key. Finally, after someone has exited the application, we release the camera and close the open window.

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