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Development of an Automated Monitoring and Warning System for Landslide Prone Sites

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Computer Vision and Image Processing (CVIP 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1376))

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Abstract

The objective is to detect landslide and report it as soon as it is detected so that appropriate measures can be taken in time in order to reduce the loss of life and infrastructure and to issue advisories to the public. A camera surveillance system with an image processing algorithm for 24/7 monitoring of flow is proposed to detect landslides. The warning system (up to the issuance of a Common Alerting Protocol alert) is also developed. We develop an algorithm that processes the camera feed and accounts for the factors like frames per second (FPS), structural similarity, resolution of the camera and optical flow in order to detect the occurrence of a landslide. Using a network of such cameras and communicating over the network results in a distributed intelligent system. We also estimate the deterioration caused by the disaster from the output image to estimate the extent of the damage incurred.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, IIT Delhi, New Delhi, India

    Ankita Saldhi & Subrat Kar

  2. Bharti School of Telecom Technology and Management, IIT Delhi, New Delhi, India

    Subrat Kar

Authors
  1. Ankita Saldhi
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  2. Subrat Kar
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Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology Allahabad, Prayagraj, India

    Satish Kumar Singh

  2. Indian Institute of Technology Roorkee, Roorkee, India

    Partha Roy

  3. Indian Institute of Technology Roorkee, Roorkee, India

    Balasubramanian Raman

  4. Indian Institute of Information Technology Allahabad, Prayagraj, India

    P. Nagabhushan

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Saldhi, A., Kar, S. (2021). Development of an Automated Monitoring and Warning System for Landslide Prone Sites. In: Singh, S.K., Roy, P., Raman, B., Nagabhushan, P. (eds) Computer Vision and Image Processing. CVIP 2020. Communications in Computer and Information Science, vol 1376. Springer, Singapore. https://doi.org/10.1007/978-981-16-1086-8_7

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  • DOI: https://doi.org/10.1007/978-981-16-1086-8_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-1085-1

  • Online ISBN: 978-981-16-1086-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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