Non-contact measurement method of bridge deflection based on machine vision

Bridge deflection is a very important parameter for bridge structure. It directly reflects the vertical overall stiffness of structure, and an basis reflecting linear change bridge. closely related to bearing capacity ability resist earthquake other dynamic loads. Computer vision obtain image data through acquisition device, use special processing software get shape displacement information object. This method has high precision, low cost, simple operation. In this paper, based on industrial camera, optical flow sub-pixel corner detection algorithm are used target tracking detection. Through comparison between laboratory micro pan tilt data, usability in monitoring verified evaluated.