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2021 | OriginalPaper | Chapter

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

Authors : Hui Li, Hongling Guo, Zhihui Zhang

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

Publisher: Springer Singapore

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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.

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Metadata
Title
A CV-Based Automatic Method of Acquiring and Processing Operation Data on Construction Site
Authors
Hui Li
Hongling Guo
Zhihui Zhang
Copyright Year
2021
Publisher
Springer Singapore
Book
Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate

Print ISBN: 978-981-15-8891-4

Electronic ISBN: 978-981-15-8892-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-8892-1_90