Neural networks in 3D printing error detection

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.