Research on non-contact landslide monitoring technology based on computer vision
In order to reduce monitoring costs and effectively enhance the emotional awareness of landslide risk,this paper proposes a non-contact monitoring technology based on machine vision,and verifies its reliability using a large indoor landslide simulation device.This technology uses specific markers as monitoring objects for landslide masses,and designs a marker extraction and positioning algorithm based on HSV color space and Hough circle detection algorithm.It integrates monocular ranging technology to quantitatively calculate the displacement of markers.The use of this technology to monitor and analyze the entire process of landslide hazard development in large-scale indoor landslide simulation devices shows that this technology can accurately reflect the displacement of the landslide body,providing an economical and comprehensive monitoring scheme for landslide monitoring.
landslide massidentification materialsmonitoringmonocular rangingmodel test