Research on Surface Curvature Detection of Cigarette Packaging Paper Based on 3D Laser Scanning Technology

In view of the paper jam problem in the automatic production line of the packaging workshop of Nanning Cigarette Factory due to excessive surface curvature of the raw material of the packaging paper, this paper proposes to use 3D laser scanning technology to scan and obtain the depth map data of the surface of the packaging paper to be detected and use a deep learning model to segment the detection package and the platform plane. Then the depth map is converted to obtain the 3D point cloud data. Coarse and fine noise reduction is carried out on the obtained point cloud data, and the coordinates of the highest point cloud and the line and plane Angle formed by the line with the base point and the horizontal plane can be calculated to obtain the curvature data of the cigarette box raw materials and achieve non-contact and high-precision curvature measurement. The application of this technology has effectively solved the problem of paper jam in the production line of Nanning Cigarette Factory and has produced better economic and social benefits.