3D point cloud uniform downsampling method for fast electrode defect detection

Electrode defect detection is an important part of lithium battery production quality inspection. However, the current 3D measurement processes a large amount of point clouds, which consumes much computation and time. Aimed at solving above problem, we introduce 3D point cloud uniform downsampling method into fast electrode defect detection in this paper. Compared with other downsampling methods, uniform downsampling can retain core geometric features of the point cloud and remove redundant data better. The uniform downsampling radius is studied and the experiment on electrode verified that uniform downsampling method with downsampling radius 0.055 μm can save much computation time as well as keep high detection accuracy.