Record Details

Computer vision for geometrical analysis of bridge gusset plates

ScholarsArchive at Oregon State University

Field Value
Title Computer vision for geometrical analysis of bridge gusset plates
Names Varakantham, Shravya (creator)
Todorovic, Sinisa (advisor)
Date Issued 2014-10-24 (iso8601)
Note Graduation date: 2015
Abstract Gusset plates are an important component of bridges. They are thick sheets of steel that join steel members together using fasteners and also strengthen their joint. Transportation agencies regularly evaluate and rate their inventories of gusset plate connections using visual inspection, which is very costly. To address this issue, we have developed a new interactive software tool, called Gusset Plate Inspection Tool (GPIT) that analyses images of gusset plates using computer vision. This tool is aimed at rapidly and accurately collecting field measurements from the images and analyzing the connection plate geometry interactively. To the best of our knowledge, this represents the first attempt at achieving accurate measurements directly from image pixels.
GPIT consists of the following modules: Target detection and Perspective removal, Boundary marking, Fastener detection and grouping and Member Analysis. The result of each module acts as an input to the next. The final stage of image analysis involves a series of calculations. To address the requirement of precise output from these calculations, this tool enables human interaction. The GPIT allows two modes of analysis –automatic and manual. The former allows the user to batch process a set of images and the latter permits individual handling of a single image.
GPIT has been evaluated in a user study by a set of students from both civil and computer engineering following the standard heuristics of qualitative evaluation of software systems. The response is overall positive. GPIT has been deployed and is in use by departments of transportation in Oregon, Arizona and Washington.
Genre Thesis/Dissertation
Topic Gusset plates
Identifier http://hdl.handle.net/1957/54160

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