This paper aims to explore new technologies for detecting failures in temporary structures during construction.

This paper applies image processing techniques to facilitate the automated detection of structural failures. In general, temporary structures provide support for permanent structures during construction and also serve as work platforms for workers. Numerous codes, standards, and regulations provide guidance for permanent construction but their application to temporary structures is limited. Most standards for temporary structures are voluntary, and design and construction considerations, therefore, are left to individual engineering judgment.

The new approach proposed applies chronological digital images to develop a new engineering technology to detect incipient structural instability and further failures during the construction process. The size of any structural deformation is a measurable variable through image analysis, and this could provide a measurable harbinger of structural failure. The proposed technology utilizes a series of images, matching images with their predecessors to highlight and locate differences developing in the structure. The chronological images are expected to provide a coherent and persistent structural deficiency dataset that can be applied to diagnose physical forms of failure, defining a clear starting point for rehabilitation, and enabling structural engineers to draft a comprehensive plan to address the problem.

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