Share:


Evaluation of the low-cost depth cameras for non-destructive testing

    Noura Y. Alghanim Affiliation
    ; Tarig Ali Affiliation
    ; Ahmed Elaksher   Affiliation
    ; Mohammad Alhamaydeh Affiliation

Abstract

The primary aim of this paper is to assess the effectiveness of a low-cost stereo (depth) camera as a non-destructive tool for the detection and measurement of cracks in concrete surfaces. The experiment was carried out on four concrete beams with cracks, created with different concrete mixes. The mixes of the four beams were made up of lightweight aggregates with 12% of normal weight aggregates. One beam was used as a reference without fibers, while 3D steel fiber reinforcement, 5D steel fibers reinforcement, and a hybrid fibers mix of 5D steel fiber and synthetic were used for the other three beams. The cracks in the beams were measured manually followed by taking their stereo images with a ZED camera. The ZED images were processed to produce 3D models of the concrete surfaces, which are useful for crack measurement in a three-dimensional framework. The project results are particularly significant in the measurement of all three dimensions (length, width and depth), with less than a 10% error between the actual and the experimental procedure. Relatively, multiple differential approaches gave a less accurate result of a 15% error mainly due to syntax errors. Results suggest that the ZED depth camera is an effective tool for robust detection and measurement of cracks in concrete surfaces.

Keyword : stereo cameras, crack detection, non-destructive testing, 3D measurement

How to Cite
Alghanim, N. Y., Ali, T., Elaksher, A., & Alhamaydeh, M. (2025). Evaluation of the low-cost depth cameras for non-destructive testing. Geodesy and Cartography, 51(1), 1–10. https://doi.org/10.3846/gac.2025.20152
Published in Issue
Jan 17, 2025
Abstract Views
11
PDF Downloads
4
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Agdas, D., Rice, J., Martinez, J., & Lasa, I. (2015). Comparison of visual inspection and structural-health monitoring as bridge condition assessment methods. Journal of Performance of Constructed Facilities, 30(3), 1–21. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000802

Chong, K. P., Carino, N. J., & Washer, G. (2003). Health monitoring of civil infrastructures. Smart Materials and Structures, 12(3), 483–493. https://doi.org/10.1088/0964-1726/12/3/320

Davis, A. (1998). Nondestructive test methods for evaluation of concrete in structures. ACI Committee.

Deng, G., & Nakanishi, T. (2011). Practical methods for crack length measurement and fatigue crack initiation detection using ion-sputtered film and crack growth characteristics in glass and ceramics. In C. Sikalidis (Ed.), Advances in ceramics. InTechOpen. https://doi.org/10.5772/22594

Dumoulin, J., Ibos, L., Ibarra-Castanedo, C., Mazioud, A., Marchetti, M., Maldague, X., & Bendada, A. (2010). Active infrared thermography applied to defect detection and characterization on asphalt pavement samples: Comparison between experiments and numerical simulations. Journal of Modern Optics, 57(18), 1759–1769. https://doi.org/10.1080/09500340.2010.522738

Endres, F., Hess, J., Sturm, J., Cremers, D., & Burgard, W. (2014). 3-D mapping with an RGB-D camera. IEEE Transactions on Robotics, 30(1), 177–187. https://doi.org/10.1109/TRO.2013.2279412

Gholizadeh, S. (2016). A review of non-destructive testing methods of composite materials. Procedia Structural Integrity, 1(1), 50–57. https://doi.org/10.1016/j.prostr.2016.02.008

Helal, J., Sofi, M., & Mendis, P. (2015). Non-destructive testing of concrete: A review of methods. Electronic Journal of Structural Engineering, 14(1), 97–105. https://doi.org/10.56748/ejse.141931

Kim, H., Lee, J., Ahn, E., Cho, S., Shin, M., & Sim, S. (2017). Concrete crack identification using a UAV incorporating hybrid image processing. Sensors, 17(9), 20–52. https://doi.org/10.3390/s17092052

Le, T., Gibb, S., Pham, N., La, H. M., Falk, L., & Berendsen, T. (2017). Autonomous robotic system using non-destructive evaluation methods for bridge deck inspection. In 2017 IEEE International Conference on Robotics and Automation (ICRA) (pp. 3672–3677). IEEE. https://doi.org/10.1109/ICRA.2017.7989421

Loutas, T., Panopoulou, A., Roulias, D., & Kostopoulos, V. (2012). Intelligent health monitoring of aerospace composite structures based on dynamic strain measurements. Expert Systems with Applications, 39(9), 8412–8422. https://doi.org/10.1016/j.eswa.2012.01.179

Milovanović, B., & Pečur, I. B. (2016). Review of active IR thermography for detection and characterization of defects in reinforced concrete. Journal of Imaging, 2(2), Article 11. https://doi.org/10.3390/jimaging2020011

Mohan, A., & Poobal, S. (2017). Crack detection using image processing: A critical review and analysis. Alexandria Engineering Journal, 57(2), 787–798. https://doi.org/10.1016/j.aej.2017.01.020

Morabito, F., Simon, G., & Cacciola, M. (2008). Image fusion techniques for non-destructive testing and remote sensing applications. In Image fusion (pp. 367–392). Elsevier. https://doi.org/10.1016/B978-0-12-372529-5.00013-5

Nama, P., Jain, A., Srivastava, R., & Bhatia, Y. (2015). Study on causes of cracks & its preventive measures in concrete structures. International Journal of Engineering Research and Applications, 5(5), 119–123.

Sarker, M., Ali, T., Abdelfatah, A., Yehia, S., & Elaksher, A. (2017). A cost-effective method for crack detection and measurement on concrete surface. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W8, 237–241. https://doi.org/10.5194/isprs-archives-XLII-2-W8-237-2017

Verma, S., Bhadauria, S., & Akhtar, S. (2013). Review of nondestructive testing methods for condition monitoring of concrete structures. Journal of Construction Engineering, 2013, Article 834572. https://doi.org/10.1155/2013/834572

Wang, B., Zhong, S., Lee, T. L., Fancey, K. S., & Mi, J. (2020). Non-destructive testing and evaluation of composite materials/structures: A state-of-the-art review. Advances in Mechanical Engineering, 12(4), 1–28. https://doi.org/10.1177/1687814020913761

Wiggenhause, H., & Niederleithinger, E. (2013). Innovative ultrasonic techniques for inspection and monitoring of large concrete structures. EPJ Web of Conferences, 56(4), 1–9. https://doi.org/10.1051/epjconf/20135604004

Wittmann, F. (1987). Structure of concrete and crack formation. In K. P. Herrmann & L. H. Larsson (Eds.), Fracture of non-metallic materials (pp. 309–340). Springer. https://doi.org/10.1007/978-94-009-4784-9_15

Xu, C., Xie, J., Zhang, W., Kong, Q., Chen, G., & Song, G. (2017). Experimental investigation on the detection of multiple surface cracks using vibrothermography with a low-power piezoceramic actuator. Sensors, 17(12), Article 2705. https://doi.org/10.3390/s17122705

Zhang, W., Zhang, Z., Qi, D., & Li, Y. (2014). Automatic crack detection and classification method for subway tunnel safety monitoring. Sensors, 14(10), 19307–19328. https://doi.org/10.3390/s141019307

Zhou, C., Yang, J., Zhao, C., & Hua, G. (2017). Fast, accurate thin-structure obstacle detection for autonomous mobile robots. In 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (pp. 318–327). IEEE. https://doi.org/10.1109/CVPRW.2017.45