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A novel automated crack identification method for concrete bridge structure using an unmanned aerial vehicle

Author(s):




Medium: journal article
Language(s): English
Published in: IOP Conference Series: Materials Science and Engineering, , n. 1, v. 1289
Page(s): 012037
DOI: 10.1088/1757-899x/1289/1/012037
Abstract:

This study explores an automated method for identifying cracks on a concrete bridge structure using an unmanned aerial vehicle (UAV) equipped with a high-resolution camera. First, images are captured from the bridge, then a novel automated algorithm are used to isolate the region of interest. The deep learning algorithm then detects cracks on the structure using a pre-trained Convolutional Neural Network (CNN) model. The proposed method was tested on Tran Phu bridge, and the results confirmed the effectiveness of the UAV-based inspections for identifying cracks on structures.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1088/1757-899x/1289/1/012037.
  • About this
    data sheet
  • Reference-ID
    10777324
  • Published on:
    12/05/2024
  • Last updated on:
    12/05/2024
 
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