Article Details

Abstract

At present, the sorting work of customized non-standard special-shaped cutting parts still mainly relies on manual operation. In order to change this situation, an innovative sorting visual guidance scheme is studied, and it is based on Halcon graphic analysis and advanced point cloud matching algorithm. Firstly, this paper designs a graphic analysis algorithm for CAD drawings of parts by using the Halcon operator, so as to accurately obtain the optimal sorting position and use it as a matching template. Secondly, it uses the 3D camera to capture the point cloud data of the cutting parts, and performs effective denoising and segmentation processing to obtain the point cloud model of each cutting part. Finally, the point cloud model is matched with the part template to accurately obtain the actual sorting position and part type. This scheme not only realizes the efficient sorting of non-standard special-shaped parts, but also significantly improves the intelligence level and production efficiency in this field, and has extremely high practical application value.

Keywords

Halcon; graphic analysis; point cloud matching

References

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About the authors

Wang Tiannuo (December 1993-), male, Han ethnicity, from Puyang, Henan Province, holds an intermediate professional title and a master's degree. His research direction is intelligent manufacturing; Zhan Wenxia (January 1991-), female, Han ethnicity, from Shangluo, Shaanxi Province, holds a junior professional title and a master's degree. Her research direction is automation instruments.