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.

翻译：尽管建筑与测绘领域技术不断进步，但在建或既有建筑中窗户等显著特征的检测仍主要依赖人工流程。此外，建筑中窗户数量与其在地震中产生的变形程度直接相关。本研究提出一种通过部署基于无人机（UAV）的遥感系统来精确检测并计数建筑窗户数量的方法。该两阶段方法通过开发融合无人机机载摄像头及其他传感器数据的计算机视觉流程，实现了窗户识别与计数的自动化。定量与定性结果表明，与现有方法相比，所提方法在窗户的精确检测与计数方面具有显著有效性。