Under the pressure of cost reduction and productivity improvement, this paper presents a new methodology which provides a fast inspection of defective objects and generates a real time motion trajectory for processing objects being conveyed with high speed in an industrial large-scale production. The image data obtained by a multispectral imaging system is analyzed within image processing algorithms using classification methods based on support vector machine. These data provide a basis for a path planning algorithm which considers location, orientation and arrangement of defects on the conveyed objects. Selective processing tool guided by the planed path is motion controlled. © 2012 The Authors.
Weyrich, M., Wang, Y., Winkel, J., & Laurowski, M. (2012). High speed vision based automatic inspection and path planning for processing conveyed objects. In Procedia CIRP (Vol. 3, pp. 442–447). Elsevier B.V. https://doi.org/10.1016/j.procir.2012.07.076