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IoT and Edge Computing for Architects

You're reading from   IoT and Edge Computing for Architects Implementing edge and IoT systems from sensors to clouds with communication systems, analytics, and security

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781839214806
Length 632 pages
Edition 2nd Edition
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Author (1):
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Perry Lea Perry Lea
Author Profile Icon Perry Lea
Perry Lea
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Table of Contents (17) Chapters Close

Preface 1. IoT and Edge Computing Definition and Use Cases 2. IoT Architecture and Core IoT Modules FREE CHAPTER 3. Sensors, Endpoints, and Power Systems 4. Communications and Information Theory 5. Non-IP Based WPAN 6. IP-Based WPAN and WLAN 7. Long-Range Communication Systems and Protocols (WAN) 8. Edge Computing 9. Edge Routing and Networking 10. Edge to Cloud Protocols 11. Cloud and Fog Topologies 12. Data Analytics and Machine Learning in the Cloud and Edge 13. IoT and Edge Security 14. Consortiums and Communities 15. Other Books You May Enjoy
16. Index

High performance IoT endpoints

So far, we have examined simple sensors that simply return information in a binary or analog form that must be sampled. There are, however, IoT devices and sensors that have substantial processing power and performance for the tasks they undertake. Smart sensors include devices such as video cameras and vision systems. Smart sensors can include substantial amounts of processing capacity in the form of high-end processors, digital signal processors, FPGAs, and custom ASICs. In this section, we will explore the details of one form of smart sensor: a vision system.

Vision systems

In contrast with the simple sensors explored earlier, vision systems are much more complex, which results in substantial hardware, optics, and imaging silicon. Vision systems start with a lens that observes a scene. A lens provides focus, but also provides more light saturation to the sensing element. In modern vision systems, one of two types of sensing elements is...

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