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URPWS: An Urban Road Ponding Monitoring and Warning System Based on Surveillance Video

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Web and Big Data (APWeb-WAIM 2023)

Abstract

Efficient and accurate monitoring urban ponding by surveillance video is of great significance to reduce the risk of inundation and urban traffic. The previous work lacks consideration of real-time performance and integration of a unified management platform, which leads to low monitoring efficiency. This demo presents an urban road ponding monitoring and warning system (URPWS) based on surveillance video. URPWS provides a platform that integrates intelligent monitoring, real-time warning and unified management, which realizes the real-time and manageability of monitoring. In this demo, we bring forth the application of URPWS in Nanning of Guangxi Province, which delivers a new feasible solution for urban road ponding monitoring and management.

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Acknowledgements

This work was supported by the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources (KF-2021-06-088) and the National Natural Science Foundation of China (42071382). The demo data is provided by Nanning Survey and Design Institute Group Co., LTD.

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Correspondence to Qingyi Hao .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Xu, R. et al. (2024). URPWS: An Urban Road Ponding Monitoring and Warning System Based on Surveillance Video. In: Song, X., Feng, R., Chen, Y., Li, J., Min, G. (eds) Web and Big Data. APWeb-WAIM 2023. Lecture Notes in Computer Science, vol 14334. Springer, Singapore. https://doi.org/10.1007/978-981-97-2421-5_35

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  • DOI: https://doi.org/10.1007/978-981-97-2421-5_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-2420-8

  • Online ISBN: 978-981-97-2421-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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