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Hands-On Deep Learning for IoT

You're reading from   Hands-On Deep Learning for IoT Train neural network models to develop intelligent IoT applications

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789616132
Length 308 pages
Edition 1st Edition
Languages
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Authors (3):
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Aditya Trivedi Aditya Trivedi
Author Profile Icon Aditya Trivedi
Aditya Trivedi
Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
Dr. Mohammad Abdur Razzaque Dr. Mohammad Abdur Razzaque
Author Profile Icon Dr. Mohammad Abdur Razzaque
Dr. Mohammad Abdur Razzaque
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: IoT Ecosystems, Deep Learning Techniques, and Frameworks FREE CHAPTER
2. The End-to-End Life Cycle of the IoT 3. Deep Learning Architectures for IoT 4. Section 2: Hands-On Deep Learning Application Development for IoT
5. Image Recognition in IoT 6. Audio/Speech/Voice Recognition in IoT 7. Indoor Localization in IoT 8. Physiological and Psychological State Detection in IoT 9. IoT Security 10. Section 3: Advanced Aspects and Analytics in IoT
11. Predictive Maintenance for IoT 12. Deep Learning in Healthcare IoT 13. What's Next - Wrapping Up and Future Directions 14. Other Books You May Enjoy

Use case one – image-based automated fault detection

Public assets (such as roads, public buildings, and tourist places) in a city are heterogeneous and distributed within the city. Most cities in the world face challenges in monitoring, fault detection, and reporting these assets. For example, in many UK cities, citizens often report faults, but the accuracy and efficiency of the reporting is an issue in many cases. In a smart city, these assets can be monitored, and their faults can be detected and reported through an IoT application. For example, a vehicle (such as a city council vehicle) attached with one or more sensors (such as a camera or a mic) can be used for the road fault monitoring and detection.

Roads are important assets in a city, and they have many faults. Potholes, bumps, and road roughness are some of the most frustrating hazards and anomalies experienced...

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