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Hands-On Artificial Intelligence for IoT

You're reading from   Hands-On Artificial Intelligence for IoT Expert machine learning and deep learning techniques for developing smarter IoT systems

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788836067
Length 390 pages
Edition 2nd Edition
Languages
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Author (1):
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Dr. Amita Kapoor Dr. Amita Kapoor
Author Profile Icon Dr. Amita Kapoor
Dr. Amita Kapoor
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Table of Contents (14) Chapters Close

Preface 1. Principles and Foundations of IoT and AI FREE CHAPTER 2. Data Access and Distributed Processing for IoT 3. Machine Learning for IoT 4. Deep Learning for IoT 5. Genetic Algorithms for IoT 6. Reinforcement Learning for IoT 7. Generative Models for IoT 8. Distributed AI for IoT 9. Personal and Home IoT 10. AI for the Industrial IoT 11. AI for Smart Cities IoT 12. Combining It All Together 13. Other Books You May Enjoy

IoT and smart homes


A close friend of mine was always worried about his ageing mother, she was left home alone, while he, his wife, and kids were out. As her health started deteriorating, he asked for a piece of advice. The solution was simple; he installed CCTV cameras in all the rooms, interfaced with a mobile app. The cameras were connected to the internet, now, no matter where he is, he can check-in home to ensure the well-being of his mother.

 

CCTV, smart lightning, smart speakers, and so on connected to the internet help automate a lot of tasks at home, and what you get is a smart home. Most smart home systems at present work through a voice command interface, where you can use a set of commands to control the particular device. For example, in Amazon's Echo Dot, you can ask it to search or play a particular song. You can ask Apple's Siri to use your phone to call a friend, all by simple voice interface. Most of these devices are using AI/ML in some form, but home automation can be...

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