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Remote Monitoring and Detection of Rail Track Obstructions

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Online Engineering & Internet of Things

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 22))

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Abstract

Railway snow and sand monitoring has become an important safety issue, as they pose a serious threat to lives, property, and security. Snow disasters every year bring immeasurable losses to society, and sand obstructions can cause the shutdown of railway lines for weeks. This paper presents a detailed design and implementation of a non-contact railway monitoring system using a camera mounted on a mobile platform. The captured image is processed to identify the level of obstruction on a rail track. The goal is to transmit the obstruction data to the cloud in real time and enable monitoring using a web based graphical user interface. Once the obstruction crosses a predetermined threshold, the system will alert the officials.

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References

  1. Phillips, D.A.: RWDI Consulting Engineers & Scientists, Analysis of Potential Sand Dune Impacts on the Railway Tracks and Methods of Mitigation. www.iktissadevents.com/files/events/gtrc/1/presentations/d2-s8-duncan-phillips.pdf

  2. Rossetti, M.A.: A Session 4A, Advances and Applications in Transportation Weather, Analysis of Weather Events on U.S Railroads (2007)

    Google Scholar 

  3. Bamford, H.: Western Cape, Train Track Disappears Under Sand, 16 September 2015

    Google Scholar 

  4. Sand on the tracks stalls Spain-Saudi desert rail project. http://www.koratravelgroup.com/en/package/desert-train/http://www.thelocal.es/20160309/row-over-sandy-tracks-hits-spain-saudi-rail-project (2016)

  5. Xiong, J., Zhu, L., Qin, Y., Cheng, X., Kou, L., Zhang, Z.: Railway snow measuring methods and system design, chapter 79. In: 2015 International Conference on Electrical and Information Technologies for Rail Transportation (2016)

    Google Scholar 

  6. Efford, N.: Pearson Education Limited, Digital Image Processing – A Practical Introduction Using Java (2000)

    Google Scholar 

  7. Kapsalas, P., Rapantzikos, K., Sofou, A., Avrithis, Y.: Regions of interest for accurate object detection. In: International Workshop on Content-Based Multimedia Indexing (2008)

    Google Scholar 

  8. Young, I.T., Gerbrands, J.J., Vliet, L.J.: Fundamentals of Image Processing. PH Publications, Delft (1998)

    Google Scholar 

  9. Yogamangalam, R., Karthikeyan, B.: Segmentation techniques comparison in image processing. In: International Journal of Engineering and Technology (2013)

    Google Scholar 

  10. Szeliski, R.: Computer Vision: Algorithms and Applications. Springer, New York (2010)

    Google Scholar 

  11. Kaspers, A.: Blob Detection, Biomedical Image, Sciences, Image Sciences Institute, UMC Utrecht (2011)

    Google Scholar 

  12. Hinz, S.: In: Fast and subpixel precise blob detection and attribution. In: Proceedings ICIP 2005, Genua (2005)

    Google Scholar 

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Correspondence to Abul K.M. Azad .

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Uddin, M.M., Azad, A.K., Demir, V. (2018). Remote Monitoring and Detection of Rail Track Obstructions. In: Auer, M., Zutin, D. (eds) Online Engineering & Internet of Things. Lecture Notes in Networks and Systems, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-64352-6_48

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  • DOI: https://doi.org/10.1007/978-3-319-64352-6_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64351-9

  • Online ISBN: 978-3-319-64352-6

  • eBook Packages: EngineeringEngineering (R0)

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