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2021 | OriginalPaper | Chapter

10. IoT Projects in Smart City Infrastructure

Author : G. R. Kanagachidambaresan

Published in: Role of Single Board Computers (SBCs) in rapid IoT Prototyping

Publisher: Springer International Publishing

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Abstract

This chapter mainly provides SBCs prototyping for health care, industry, and supply chain-related problems. An image processing-based solution for posture correction is given with deep learning on SBCs. A Raspberry pi 4 is used to identify the error in the posture; the module is trained with respect to age, sex, and height that provide significant posture correction to elderly, postsurgical, and amputees. A RPi cam-based interface system is designed that monitors pose and identifies the error in pose with 93% accuracy. The need for prosthetic limb adjustment is also set as alert to user using IoT environment. The next section mainly provides prototyping SBC for monitoring PLC machines; the functioning or production is monitored through SBCs and data is integrated with the cloud environment. The last section in this chapter mainly discusses about fruit ripening based on GPS location for better supply chain management. The ripening gas is exerted using 3d printed IoT device for shipment activities; this device mainly reduces the complexities in storing and ripening of fruits for food industries purpose.

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previous chapter Introduction to 3d Printing and Prototyping

next chapter Industry 4.0 for Smart Factories

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Title: IoT Projects in Smart City Infrastructure
Author: G. R. Kanagachidambaresan
Publisher: Springer International Publishing
Book: Role of Single Board Computers (SBCs) in rapid IoT Prototyping
Print ISBN: 978-3-030-72956-1

Electronic ISBN: 978-3-030-72957-8

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-72957-8_10

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