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