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Despite the technological advancements in the construction and surveyingsector, the inspection of salient features like windows in anunder-construction or existing building is predominantly a manual process.Moreover, the number of windows present in a building is directly related tothe magnitude of deformation it suffers under earthquakes. In this research, amethod to accurately detect and count the number of windows of a building bydeploying an Unmanned Aerial Vehicle (UAV) based remote sensing system isproposed. The proposed two-stage method automates the identification andcounting of windows by developing computer vision pipelines that utilize datafrom UAV's onboard camera and other sensors. Quantitative and Qualitativeresults show the effectiveness of our proposed approach in accurately detectingand counting the windows compared to the existing method.

Automated Detection and Counting of Windows using UAV Imagery based Remote Sensing