Digital Twin has been recognized as a strategic approach in the modern manufacturing
industry to improve both the flexibility and the efficiency. To efficiently generate the Digital
Twin of an existing real object in the factory, powerful methods are necessary. Hereby, a fast
data acquisition including object recognition and model reconstruction methodology has
been combined to resolve these issues. Such a data set often has to replace the missing
original digital model. Subsequently, a model reconstruction plan has to be derived so that …