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Application of drones and image processing for bridge inspections in South Africa

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dc.contributor.author Kemp, Lana
dc.contributor.author Roux, Michael P
dc.contributor.author Kemp, Mauritz J
dc.contributor.author Kock, R
dc.date.accessioned 2021-10-07T07:29:35Z
dc.date.available 2021-10-07T07:29:35Z
dc.date.issued 2021-07
dc.identifier.citation Kemp, L., Roux, M.P., Kemp, M.J. & Kock, R. 2021. Application of drones and image processing for bridge inspections in South Africa. http://hdl.handle.net/10204/12124 . en_ZA
dc.identifier.uri http://hdl.handle.net/10204/12124
dc.description.abstract In South Africa, visual inspections for all bridge structures are required every five years. A need was identified to establish if it would be practical to utilise technologies, such as drones and photogrammetry, to improve inspections and to reduce the cost of inspections. Drone and photogrammetry technologies are large components in the Fourth Industrial Revolution (4IR). For proof of concept, two bridges were inspected us-ing a drone. The drone inspection data captured for the two bridges was processed and point cloud models were created. These point cloud models were then used to estab-lish whether defects, identified on these bridges previously by way of regular TMH 19 visual assessments, could be identified from the point cloud models. The outcome of the study showed that it would be possible to use processed images from drone in-spections or other image capturing methods to inspect bridges and for monitoring pur-poses. The use of these technologies could improve the inspection methodology, not only of individual structures, but also of a network of structures as required by road au-thorities. Recommendations are made for future work. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri satc.org.za/assets/satc_final-announcement-brochure-and-programme-2021_updated14june.pdf en_US
dc.source The 39th Annual Southern African Transport Conference, South Africa, 5-7 July 2021 en_US
dc.subject Bridge inspections en_US
dc.subject Drones en_US
dc.subject Image processing en_US
dc.title Application of drones and image processing for bridge inspections in South Africa en_US
dc.type Conference Presentation en_US
dc.description.pages 14 en_US
dc.description.note Paper presented at the 39th Annual Southern African Transport Conference, South Africa, 5-7 July 2021 en_US
dc.description.cluster Smart Mobility en_US
dc.description.impactarea Trans Network Asset Man Sys en_US
dc.identifier.apacitation Kemp, L., Roux, M. P., Kemp, M. J., & Kock, R. (2021). Application of drones and image processing for bridge inspections in South Africa. http://hdl.handle.net/10204/12124 en_ZA
dc.identifier.chicagocitation Kemp, Lana, Michael P Roux, Mauritz J Kemp, and R Kock. "Application of drones and image processing for bridge inspections in South Africa." <i>The 39th Annual Southern African Transport Conference, South Africa, 5-7 July 2021</i> (2021): http://hdl.handle.net/10204/12124 en_ZA
dc.identifier.vancouvercitation Kemp L, Roux MP, Kemp MJ, Kock R, Application of drones and image processing for bridge inspections in South Africa; 2021. http://hdl.handle.net/10204/12124 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Kemp, Lana AU - Roux, Michael P AU - Kemp, Mauritz J AU - Kock, R AB - In South Africa, visual inspections for all bridge structures are required every five years. A need was identified to establish if it would be practical to utilise technologies, such as drones and photogrammetry, to improve inspections and to reduce the cost of inspections. Drone and photogrammetry technologies are large components in the Fourth Industrial Revolution (4IR). For proof of concept, two bridges were inspected us-ing a drone. The drone inspection data captured for the two bridges was processed and point cloud models were created. These point cloud models were then used to estab-lish whether defects, identified on these bridges previously by way of regular TMH 19 visual assessments, could be identified from the point cloud models. The outcome of the study showed that it would be possible to use processed images from drone in-spections or other image capturing methods to inspect bridges and for monitoring pur-poses. The use of these technologies could improve the inspection methodology, not only of individual structures, but also of a network of structures as required by road au-thorities. Recommendations are made for future work. DA - 2021-07 DB - ResearchSpace DP - CSIR J1 - The 39th Annual Southern African Transport Conference, South Africa, 5-7 July 2021 KW - Bridge inspections KW - Drones KW - Image processing LK - https://researchspace.csir.co.za PY - 2021 T1 - Application of drones and image processing for bridge inspections in South Africa TI - Application of drones and image processing for bridge inspections in South Africa UR - http://hdl.handle.net/10204/12124 ER - en_ZA
dc.identifier.worklist 24981 en_US


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