In order to solve the problems of light reflection on the surface of metal cabinet and the limitation of detection site, this paper studies the 3D reconstruction of metal cabinet based on depth camera, and uses the depth camera to collect the RGBD images of metal cabinet to achieve high quality data acquisition on the surface of metal cabinet. After calculating the point cloud data, outlier elimination and downsampling are carried out to reduce the influence of noise and improve the computing speed. The three-dimensional model of metal cabinet is constructed by using the reconstruction method based on point cloud data and three-dimensional information. Through comparison experiments, it is proved that the point cloud data obtained by the method in this paper is obviously superior to the binocular vision method in terms of quantity, average error of precision and acquisition speed. Compared with the real values, the error percentage of the three metal cabinet models is about 3%.