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001-es BibID:	BIBFORM121684
035-os BibID:	(WoS)001257212500001 (Scopus)85197315831
Első szerző:	Erdei Timotei István (mechatronikai mérnök)
Cím:	Image-to-Image translation-based deep learning application to object identification in industrial robot systems / Timotei István Erdei, Tibor Péter Kapusi, András Hajdu, Géza Husi
Dátum:	2024
ISSN:	2218-6581
Megjegyzések:	Industry 4.0 has become one of the most dominant research areas in industrial science today. Many industrial machinery units do not have modern standards that allow for the use of image analysis techniques in their commissioning. Intelligent material handling, sorting, and object recognition are not possible with the machinery we have. We therefore propose a novel deep learning approach for existing robotic devices that can be applied to future robots without modification. In the implementation, 3D CAD models of the PCB relay modules to be recognized are also designed for the implantation machine. Alternatively, we developed and manufactured parts for the assembly of aluminum profiles using FDM 3D printing technology, specifically for sorting purposes. We also apply deep learning algorithms based on the 3D CAD models to generate a dataset of objects for categorization using CGI rendering. We generate two datasets and apply image-to-image translation techniques to train deep learning algorithms. The synthesis achieved sufficient information content and quality in the synthesized images to train deep learning algorithms efficiently with them. As a result, we propose a dataset translation method that is suitable for situations in which regenerating the original dataset can be challenging. The results obtained are analyzed and evaluated for the dataset.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk deep learning cyber-physical neural networks industry 4.0 image-to-image dataset translation
Megjelenés:	Robotics. - 13 : 6 (2024), p. 1-21. -
További szerzők:	Kapusi Tibor Péter (1993-) (mérnökinformatikus, villamosmérnök) Hajdu András (1973-) (matematikus, informatikus) Husi Géza (1962-) (gépészmérnök, mechatronikai mérnök, számítógépes tervezőmérnök)
Pályázati támogatás:	TKP2020-NKA-04 Egyéb
Internet cím:	DOI Intézményi repozitóriumban (DEA) tárolt változat
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