Smart City Gnosys

Smart city article details

Title Machine Vision Systems For Smart Cities: Applications And Challenges
ID_Doc 36088
Authors Tiwari S.; Jain A.
Year 2023
Published Lecture Notes in Networks and Systems, 478
DOI http://dx.doi.org/10.1007/978-981-19-2940-3_18
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. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords Deep learning; Machine vision; Smart city; Smart city application


Similar Articles


Id Similarity Authors Title Published
52683 View0.898Wei W.; Wu J.; Zhu C.Special Issue On Role Of Computer Vision In Smart CitiesImage and Vision Computing, 107 (2021)
35978 View0.885Dou X.; Chen W.; Zhu L.; Bai Y.; Li Y.; Wu X.Machine Learning For Smart Cities: A Comprehensive Review Of Applications And OpportunitiesInternational Journal of Advanced Computer Science and Applications, 14, 9 (2023)
8953 View0.879França R.P.; Monteiro A.C.B.; Arthur R.; Iano Y.An Overview Of The Machine Learning Applied In Smart CitiesLecture Notes in Intelligent Transportation and Infrastructure, Part F1386 (2021)
15434 View0.874Syahidi A.A.; Kiyokawa K.; Okura F.Computer Vision In Smart City Application: A Mapping Review2023 6th International Conference on Applied Computational Intelligence in Information Systems: Intelligent and Resilient Digital Innovations for Sustainable Living, ACIIS 2023 - Proceedings (2023)
10108 View0.871Heidari A.; Navimipour N.J.; Unal M.Applications Of Ml/Dl In The Management Of Smart Cities And Societies Based On New Trends In Information Technologies: A Systematic Literature ReviewSustainable Cities and Society, 85 (2022)
49833 View0.87Yaswanth R.; Babu M.R.; Vineetha B.; Shakeer S.M.; Potti V.Smart Cities: An In-Depth Study Of Ai Algorithms And Advanced ConnectivityInternational Journal on Recent and Innovation Trends in Computing and Communication, 11, 8 (2023)
58214 View0.869Sabha A.; Selwal A.Towards Machine Vision-Based Video Analysis In Smart Cities: A Survey, Framework, Applications And Open IssuesMultimedia Tools and Applications, 83, 22 (2024)
35979 View0.869Mahamuni C.V.; Sayyed Z.; Mishra A.Machine Learning For Smart Cities: A Survey2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022 (2022)
7092 View0.866Gautam V.; Sunidhi S.; Prasad S.Ai-Powered Surveillance For Smart CitiesLecture Notes in Intelligent Transportation and Infrastructure, Part F99 (2025)
52682 View0.864Montemayor A.S.; Pantrigo J.J.; Salgado L.Special Issue On Real-Time Computer Vision In Smart CitiesJournal of Real-Time Image Processing, 10, 4 (2015)