Abstract
Background & Objective: The paper explores a new instrument of computer vision to
measure three-dimension deformation with an Internet of Things (IoT) system including Raspberry
Pi, digital cameras and OpenCV programs in laboratory and field testing so as to monitor the potential
deformation of a structure drainage well in a landslide.
Methods: A chessboard pattern is detected in the image by the camera so that pixels of chessboard
cornors can be recognized by OpenCV programs. X-direction, Y-direction and Z-distance changes
can be casulated by the similar triangles relationship of camera pixels. For laboratory testing, standard
deviations of the measurement were approximately 0.01 cm.
Results: For field testing, the study installed four sets of Raspberry Pi in a drainage well within a
landslide and employed OpenCV programs to interpret pixel changes of chessboards at four levels of
the draiage well.
Conclusion: Overall, the instrument can be employed for triaxial deformation monitoring of the construction
in the field effectively and automatically.
Keywords:
Computer vision, ground deformation, image recognition, internet of things, landslide monitoring, raspberry pi.
Graphical Abstract
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