Non-contact sensing can be a rapid and convenient alternative for determining structure response compared to conventional instrumentation. Computer vision has been broadly implemented to enable accurate non-contact dynamic response measurements for structures. This study has analyzed the effect of non-contact sensors, including type, frame rate, and data collection platform, on the performance of a novel motion detection technique. Video recordings of a cantilever column were collected using a high-speed camera mounted on a tripod and an unmanned aerial system (UAS) equipped with visual and thermal sensors. The test specimen was subjected to an initial deformation and released. Specimen acceleration data were collected using an accelerometer installed on the cantilever end. The displacement from each non-contact sensor and the acceleration from the contact sensor were analyzed to measure the specimen’s natural frequency and damping ratio. The specimen’s first fundamental frequency and damping ratio results were validated by analyzing acceleration data from the top of the specimen and a finite element model.

与传统仪器相比，非接触式传感可以成为确定结构响应的快速方便的替代方法。计算机视觉已得到广泛应用，可以对结构进行准确的非接触式动态响应测量。本研究分析了非接触式传感器（包括类型、帧速率和数据收集平台）对新型运动检测技术性能的影响。使用安装在三脚架上的高速摄像机和配备视觉和热传感器的无人机系统 (UAS) 收集悬臂柱的视频记录。测试样品经受初始变形并释放。使用安装在悬臂端的加速度计收集样本加速度数据。分析了每个非接触式传感器的位移和接触式传感器的加速度，以测量试样的固有频率和阻尼比。通过分析来自样本顶部的加速度数据和有限元模型，验证了样本的第一个基频和阻尼比结果。