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Urban Intelligence and IoT-UAV Applications in Smart Cities: Unmanned Aerial Vehicle-Based City Management, Human Activity Recognition, and Monitoring for Health

Urban Intelligence and IoT-UAV Applications in Smart Cities: Unmanned Aerial Vehicle-Based City Management, Human Activity Recognition, and Monitoring for Health

Prince R., Navneet Munoth, Neha Sharma
Copyright: © 2022 |Pages: 33
ISBN13: 9781799887638|ISBN10: 1799887634|ISBN13 Softcover: 9781799887645|EISBN13: 9781799887652
DOI: 10.4018/978-1-7998-8763-8.ch006
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MLA

R., Prince, et al. "Urban Intelligence and IoT-UAV Applications in Smart Cities: Unmanned Aerial Vehicle-Based City Management, Human Activity Recognition, and Monitoring for Health." Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques, edited by Bella Mary I. Thusnavis, et al., IGI Global, 2022, pp. 113-145. https://doi.org/10.4018/978-1-7998-8763-8.ch006

APA

R., P., Munoth, N., & Sharma, N. (2022). Urban Intelligence and IoT-UAV Applications in Smart Cities: Unmanned Aerial Vehicle-Based City Management, Human Activity Recognition, and Monitoring for Health. In B. Thusnavis, K. Sagayam, & A. Elngar (Eds.), Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques (pp. 113-145). IGI Global. https://doi.org/10.4018/978-1-7998-8763-8.ch006

Chicago

R., Prince, Navneet Munoth, and Neha Sharma. "Urban Intelligence and IoT-UAV Applications in Smart Cities: Unmanned Aerial Vehicle-Based City Management, Human Activity Recognition, and Monitoring for Health." In Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques, edited by Bella Mary I. Thusnavis, K. Martin Sagayam, and Ahmed A. Elngar, 113-145. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-8763-8.ch006

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Abstract

The objective of this chapter is to propose a model of an automated city crime-health management that can be implemented in future smart cities of developing countries. The chapter discusses how a suitable amalgamation of existing technologies such as IoT, artificial intelligence, and machine learning can output an efficient system of unmanned city management systems, thereby facilitating indirect engendering of innovative scopes for technology workers and researchers and alleviating the living standards within the city fabrics, catalyzing infrastructure development. In this chapter, the authors have structured an ideal UAV-matrix layout for city fabric surveillance built over the scopes of artificial intelligence. Succinctly, this chapter provides a platform that would galvanize the possibilities and that could be reimagined to structure a more resourceful working model of new emerging smart cities and enlighten the settings of existing ones.

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