To address the problem of large errors in measuring high-frequency vibration by traditional vis-ual vibration measurement methods,a method of building a non-contact measurement system using a high-speed camera is proposed.Firstly,the high-speed camera acquisition image is pre-processed to re-duce noise interference;secondly,the feature points in the image are detected by the ORB feature point detection method,and the Harris evaluation criterion is used to replace the non-maximum suppression method in the original algorithm,from which the feature points extracted by the algorithm are selected, and the vibration of the feature points are tracked by the sparse optical flow method to obtain accurate feature point displacement information;The vibration frequency of each feature point is then calculated using the fast Fourier transform;finally,experiments are conducted with tuning forks and steel bars,and the experimental results show that the proposed method is similar to the theoretical calculation results in terms of measurement results,with a maximum error of only 0.75％ and an increase of about 33.22％ in operation speed compared with the traditional algorithm.
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