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Academic Journal of Engineering and Technology Science, 2023, 6(7); doi: 10.25236/AJETS.2023.060708.

Railway construction site safety hidden danger identification method based on machine vision


Liu Boxiong

Corresponding Author:
Liu Boxiong

School of Mine Safety Engineering, North China Institute of Science and Technology, Sanhe, Hebei, China


In order to achieve accurate identification of safety hazards at railway construction sites, taking a railway engineering project as an example, machine vision technology was introduced to design a method for identifying safety hazards at railway construction sites. In this study, the images of key monitoring areas are first collected, input into the computer, and preprocessed. Then, the scene model of the construction site is constructed through the camera and infrared thermal imaging acquisition equipment, and the image background model of the dangerous area is established by referring to the Gaussian model. Finally, the image carrying the background is input, and the image is matched with the time series. The identification conditions of construction site dangerous areas are set up to realize the identification of hidden danger points in the background of dangerous point image. Comparative experimental results show that this method can improve the identification rate of safety hazards in railway construction sites.


Machine vision; Railway engineering; Scene model; Identification method; Hidden danger; Construction site

Cite This Paper

Liu Boxiong. Railway construction site safety hidden danger identification method based on machine vision. Academic Journal of Engineering and Technology Science (2023) Vol. 6, Issue 7: 40-44. https://doi.org/10.25236/AJETS.2023.060708.


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