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This slide presents a comparison between virtual and real 3D printers within the context of creating datasets for anomaly detection. On the left, there are wireframe models of a virtual DLP (Digital Light Processing) 3D printer, which appears to be designed or simulated using computer-aided design (CAD) software. These virtual models help in simulating and understanding the 3D printing process in a controlled environment.
On the right, there is a photo of a real 3D printer illuminated in green, likely capturing the operational environment and the actual printing process.
The contrast between the virtual and real 3D printers underscores the importance of simulating the printing process to generate data, which can then be validated against real-world scenarios. This slide is probably used to discuss the methodology for generating synthetic data for training machine learning models, illustrating the Sim2Real gap mentioned in the previous slide. |
IEEE/ICACT20240043 Slide.05
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