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Machine Vision Systems for Smart Cities: Applications and Challenges

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Emerging IT/ICT and AI Technologies Affecting Society

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 478))

Abstract

A smart city employs information and communication technology (ICT) to boost efficiency and productivity, share data with the public, and promote government service and citizen satisfaction. Smart cities use a combination of low-power sensors, cameras, and AI algorithms to observe the city’s operation. Machine vision has advanced in terms of recognition and tracking thanks to machine learning. It provides efficient capture, image processing, and object recognition for vision applications. Governments benefit greatly from the use of machine vision and other smart applications. This technology allows city administrators to easily integrate and utilize resources. As the “eyes” of the city, computer vision plays an important role in smart city management. The chapter begins with a brief review of machine vision, smart cities, and real-world machine vision applications in smart cities. Lastly, we highlight several smart city difficulties and prospects discovered through a comprehensive literature review.

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Authors and Affiliations

  1. Systemics Cluster, School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India

    Shamik Tiwari & Anurag Jain

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  1. Shamik Tiwari
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  2. Anurag Jain
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Correspondence to Anurag Jain .

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Editors and Affiliations

  1. Muffakham Jah College Engineering and Technology, Hyderabad, India

    Mousmi Ajay Chaurasia

  2. National Chung Hsing University, Taichung, Taiwan

    Chia-Feng Juang

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Tiwari, S., Jain, A. (2023). Machine Vision Systems for Smart Cities: Applications and Challenges. In: Chaurasia, M.A., Juang, CF. (eds) Emerging IT/ICT and AI Technologies Affecting Society. Lecture Notes in Networks and Systems, vol 478. Springer, Singapore. https://doi.org/10.1007/978-981-19-2940-3_18

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  • DOI: https://doi.org/10.1007/978-981-19-2940-3_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2939-7

  • Online ISBN: 978-981-19-2940-3

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