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30 September 2024 Neural networks in 3D printing error detection
Ruslan R. Nasretdinov, Nadezhda D. Tolstoba, Kirill Yu. Bodrov
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Proceedings Volume 13137, Applications of Digital Image Processing XLVII; 131371I (2024) https://doi.org/10.1117/12.3029741
Event: Optical Engineering + Applications, 2024, San Diego, California, United States
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Abstract
The article addresses the importance of timely detection of errors occurring during 3D printing. One of the 3D printing methods chosen is FFF (Fused Filament Fabrication). Sources are provided where one can familiarize themselves with the main errors that occur during 3D printing. A dataset dedicated to the detection and correction of 3D printing errors using neural networks has been found. The results of training neural networks with ResNet50 and EfficientNet architectures on the found dataset are presented.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Ruslan R. Nasretdinov, Nadezhda D. Tolstoba, and Kirill Yu. Bodrov "Neural networks in 3D printing error detection", Proc. SPIE 13137, Applications of Digital Image Processing XLVII, 131371I (30 September 2024); https://doi.org/10.1117/12.3029741
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KEYWORDS
Education and training
3D printing
Neural networks
Image processing
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