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Computer Vision with the Internet of Things (IoT)

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Machine Vision and Augmented Intelligence

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1007))

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Abstract

The most common and dangerous natural catastrophes are floods. Floods kill and devastate far too many people and businesses throughout the world. There needs to be a more effective reaction to flooding. Camera pictures and wireless sensor data from Internet of things networks have been an excellent resource for flood management research throughout the last decade. Computer vision and Internet of things sensor methodologies utilized in the literature are highlighted in this research to monitor real-time surges, simulate floods, and anticipate the water level. Ideas for further study can also be found in the publication. According to a new study, computer vision and Internet of things sensors can better monitor and manage coastal lagoons. There has not been enough research done in this area. There will be many gadgets creating and exchanging information flows to represent actual life on the Internet of things. Many things need to work together to link the real world to the virtual world, store and analyze sensor data, monitor and operate connected devices, or construct a history that can predict what will happen on the internet of things software platform. Even if there are numerous weak dependencies, it is feasible to draw out a perfect design. Two things should be clarified before researchers begin their work.

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Author information

Authors and Affiliations

  1. GLA University, Mathura, India

    Reeya Agrawal

  2. Microelectronics and VLSI Lab, National Institute of Technology, Patna, 800005, India

    Reeya Agrawal & Sangeeta Singh

Authors
  1. Reeya Agrawal
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  2. Sangeeta Singh
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Corresponding author

Correspondence to Reeya Agrawal .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Jamshedpur, Jamshedpur, India

    Koushlendra Kumar Singh

  2. Department of Computer Science and Engineering, IIITDM Jabalpur, Jabalpur, India

    Manish Kumar Bajpai

  3. Leeds Beckett University, Leeds, UK

    Akbar Sheikh Akbari

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

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Agrawal, R., Singh, S. (2023). Computer Vision with the Internet of Things (IoT). In: Kumar Singh, K., Bajpai, M.K., Sheikh Akbari, A. (eds) Machine Vision and Augmented Intelligence. Lecture Notes in Electrical Engineering, vol 1007. Springer, Singapore. https://doi.org/10.1007/978-981-99-0189-0_15

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  • DOI: https://doi.org/10.1007/978-981-99-0189-0_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-0188-3

  • Online ISBN: 978-981-99-0189-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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