03843nam a22005895i 4500 978-3-031-47560-3 DE-He213 20251030110910.0 cr nn 008mamaa 240103s2024 sz | s |||| 0|eng d 9783031475603 978-3-031-47560-3 10.1007/978-3-031-47560-3 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema Nassif, Jimmy. author. aut http://id.loc.gov/vocabulary/relators/aut 69021 Synthetic Data [electronic resource] : Revolutionizing the Industrial Metaverse / by Jimmy Nassif, Joe Tekli, Marc Kamradt. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXIX, 166 p. 64 illus., 59 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Ch. 1. Welcome to the Age of Industrial Data -- Ch. 2. Industrial Evolution toward the Age of Imagination -- Ch. 3. Background and Technologies -- Ch. 4. How Visual Data is Revolutionizing the Industry World -- Ch. 5. Digital Images – the Bread and Butter of Computer Vision -- Ch. 6. Creating SORDI: the Largest Synthetic Dataset for Industries -- Ch. 7. Towards an Industrial Robot Gym -- Ch. 8. What is Next with SORDI. The book concentrates on the impact of digitalization and digital transformation technologies on the Industry 4.0 and smart factories, how the factory of tomorrow can be designed, built, and run virtually as a digital twin likeness of its real-world counterpart, before the physical structure is actually erected. It highlights the main digitalization technologies that have stimulated the Industry 4.0, how these technologies work and integrate with each other, and how they are shaping the industry of the future. It examines how multimedia data and digital images in particular are being leveraged to create fully virtualized worlds in the form of digital twin factories and fully virtualized industrial assets. It uses BMW Group’s latest SORDI dataset (Synthetic Object Recognition Dataset for Industry), i.e., the largest industrial images dataset to-date and its applications at BMW Group and Idealworks, as one of the main explanatory scenarios throughout the book. It discusses the need of synthetic data to train advanced deep learning computer vision models, and how such datasets will help create the “robot gym” of the future: training robots on synthetic images to prepare them to function in the real world. Artificial intelligence. 58441 Internet of things. 58845 Multimedia systems. 65569 Big data. 57216 Computer networks . 60157 Artificial Intelligence. 58441 Internet of Things. 58845 Multimedia Information Systems. 65572 Big Data. 57216 Computer Communication Networks. 65689 Tekli, Joe. author. aut http://id.loc.gov/vocabulary/relators/aut 69022 Kamradt, Marc. author. aut http://id.loc.gov/vocabulary/relators/aut 69023 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031475597 Printed edition: 9783031475610 https://doi.org/10.1007/978-3-031-47560-3 ZDB-2-SCS ZDB-2-SXCS 57035 57035