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Engineering challenge: the battle of image-processing algorithms for deformation monitoring

When considering smartphones as a part of a monitoring system the greatest challenge is making sense of the data. As an industry, we need image-processing tools that are easily accessible and compatible across multiple devices.

    Smart phone on a tripod in front of a bridge

    Through the latest developments in smartphone technology, we are able to capture high quality images and video to assess the structural performance of bridges. The installation of cameras not only saves the engineering industry time and money, but also significantly reduces the risk of working at height, and traffic disruption caused by road closures.

    When considering smartphones as a part of a monitoring system the greatest challenge is making sense of the data. We need image-processing tools that are easily accessible and compatible across multiple devices.

    Do you have what it takes to take on our image-processing challenge?

    We invite PhD students and researchers in image processing for structural health monitoring to analyse a set of images and videos of laboratory and real world structures that have been taken on a smartphone. Using pre-existing image-processing tools, the challenge is to detect and locate structural damage and estimate its severity.

    To take up the challenge, please send an expression of interest to Rolands Kromanis, Senior Lecturer in Civil Engineering, School of Architecture, Design and the Built Environment, Nottingham Trent University (NTU). You will then be given access to the images and videos for analysis.

    Download your copy of the Engineering Challenge brief.

    Enquiries

    For all enquiries please email Rolands Kromanis or call +44 (0)115 848 4845.

    Published on 3 July 2018
    • Subject area: Architecture and civil engineering
    • Category: Environment and sustainability; Research; School of Architecture, Design and the Built Environment