KEYWORDS: Data modeling, Education and training, Statistical modeling, Digital imaging, Cameras, 3D modeling, Image storage, Image processing, Virtual reality, Digital photography
In this paper, aiming at the problems of early sampling difficulty and less sample data in Industrial auxiliary assembly engineering, a method of sampling by using its digital twin to enhancing samples is proposed. The system establishes the digital twin and digital twin environment space for identifying the target by using unity3D, obtains the sample data of the digital twin space randomly and forms a sample set with the actual sample data collected in the real environment. The two recognition models are trained for physical inspection through faster r-cnn. By comparing their intersection over union, it is verified that using digital twin space to sample can be applied to physical inspection.
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