<abstract xmlns="http://www.w3.org/1999/xhtml">

The article presents an original optical system to measure displacements across joints or cracks in building structures. It describes the concept of system operation, algorithms to be followed and results of practical tests that have been performed.
The proposed solution is based on digital photos taken with a non-metric digital camera, modified by defining its internal orientation elements and correction of lens distortion during calibration, constituting the measurement instrument registering the pictures of markers. QR (Quick Response) codes are proposed to be the markers. Being digitally processed, a set of registered images allow visualising the measured size of occurred displacements.
Owing to this solution, it is possible to obtain data on a mutual position of two or more QR codes in the form of translation elements in 3D space and appropriate three orientation angles. Appointed elements are unequivocal in spatial interpretation and not limited by dimension.
As the tests performed by the authors show, the results are more than satisfactory. The proposed measurement technology is an objective system of data acquisition, suitable for automating the whole monitoring process of displacements of building structure elements concerning joints and cracks.
</abstract>

The article presents an original optical system to measure displacements across joints or cracks in building structures. It describes the concept of system operation, algorithms to be followed and results of practical tests that have been performed.
The proposed solution is based on digital photos taken with a non-metric digital camera, modified by defining its internal orientation elements and correction of lens distortion during calibration, constituting the measurement instrument registering the pictures of markers. QR (Quick Response) codes are proposed to be the markers. Being digitally processed, a set of registered images allow visualising the measured size of occurred displacements.
Owing to this solution, it is possible to obtain data on a mutual position of two or more QR codes in the form of translation elements in 3D space and appropriate three orientation angles. Appointed elements are unequivocal in spatial interpretation and not limited by dimension.
As the tests performed by the authors show, the results are more than satisfactory. The proposed measurement technology is an objective system of data acquisition, suitable for automating the whole monitoring process of displacements of building structure elements concerning joints and cracks.

MarQR technology for measuring relative displacements of building structure elements with regard to joints and cracks

Reports on Geodesy and Geoinformatics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The article presents an original optical system to measure displacements across joints or cracks in building structures. It describes the concept of system...

MarQR technology for measuring relative displacements of building structure elements with regard to joints and cracks

Article Category: Original Article

Online veröffentlicht: 26. Juni 2020

Seitenbereich: 33 - 40

Eingereicht: 23. Aug. 2019

Akzeptiert: 21. Mai 2020

DOI: https://doi.org/10.2478/rgg-2020-0005

Schlüsselwörter
crackmeter, monitoring, QR code, photogrammetry, computer vision

© 2020 Marek Woźniak et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

MarQR technology for measuring relative displacements of building structure elements with regard to joints and cracks

Article Category: Original Article

Online veröffentlicht: 26. Juni 2020

Seitenbereich: 33 - 40

Eingereicht: 23. Aug. 2019

Akzeptiert: 21. Mai 2020

DOI: https://doi.org/10.2478/rgg-2020-0005

Schlüsselwörtercrackmeter, monitoring, QR code, photogrammetry, computer vision

© 2020 Marek Woźniak et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
crackmeter, monitoring, QR code, photogrammetry, computer vision