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A CV-Based Automatic Method of Acquiring and Processing Operation Data on Construction Site

In: Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Hui Li

    (Tsinghua University)

  • Hongling Guo

    (Tsinghua University)

  • Zhihui Zhang

    (Tsinghua University)

Abstract

Image data of construction site is often of large volume and difficult to handle. This paper introduces a computer-vision-based automatic method of acquiring and processing this kind of data. A deep convolutional neural network along with region proposal network is used for on-site object detection including workers, materials and machines, followed by a light-weighed network to determine the real-time interaction between workers and working objects. A practical implication of the two network models and their experimental results is a scenario-based security and productivity management system and its basic structure is also introduced in this paper.

Suggested Citation

  • Hui Li & Hongling Guo & Zhihui Zhang, 2021. "A CV-Based Automatic Method of Acquiring and Processing Operation Data on Construction Site," Springer Books, in: Gui Ye & Hongping Yuan & Jian Zuo (ed.), Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, pages 1281-1296, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-8892-1_90
    DOI: 10.1007/978-981-15-8892-1_90
    as

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