NUST Institutional Repository

Bridge Health Monitoring Systems Using Drones and AI

Show simple item record

dc.contributor.author Ahmad bin Abdur Rauf
dc.contributor.author Supervisor Dr Adeel Zafar
dc.contributor.author Co Supervisor Dr Safi Ur Rehman
dc.date.accessioned 2023-06-22T07:31:26Z
dc.date.available 2023-06-22T07:31:26Z
dc.date.issued 2023
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/34163
dc.description.abstract Bridges have proven to be a remarkably effective civil engineering marvel in the past years. They, like everything else, have a life span as well. Once they are constructed and put into service, their deterioration commences. It is crucial to inspect bridges periodically to assess their structural strength and serviceability to ensure the safety of the users. To reduce the efforts, we will be experimenting with photogrammetry, drones and software that use AI to translate pictures into 3D models on a computer to be analyzed. The result will be to evaluate the capabilities and effectiveness of this model as bridge inspection tools to reduce the risk to life and economize the monitoring tasks so that it can be done more regularly and easily. en_US
dc.language.iso en en_US
dc.publisher Military College of Engineering (NUST) Risalpur Cantt en_US
dc.subject Structure Engineering en_US
dc.title Bridge Health Monitoring Systems Using Drones and AI en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account