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001 978-3-031-47560-3
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020 _a9783031475603
_9978-3-031-47560-3
024 7 _a10.1007/978-3-031-47560-3
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aNassif, Jimmy.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_995923
245 1 0 _aSynthetic Data
_h[electronic resource] :
_bRevolutionizing the Industrial Metaverse /
_cby Jimmy Nassif, Joe Tekli, Marc Kamradt.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXIX, 166 p. 64 illus., 59 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aCh. 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.
520 _aThe 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.
650 0 _aArtificial intelligence.
_93407
650 0 _aInternet of things.
_94027
650 0 _aMultimedia systems.
_911575
650 0 _aBig data.
_94174
650 0 _aComputer networks .
_931572
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aInternet of Things.
_94027
650 2 4 _aMultimedia Information Systems.
_931575
650 2 4 _aBig Data.
_94174
650 2 4 _aComputer Communication Networks.
_995929
700 1 _aTekli, Joe.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_995931
700 1 _aKamradt, Marc.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_995933
710 2 _aSpringerLink (Online service)
_995935
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031475597
776 0 8 _iPrinted edition:
_z9783031475610
856 4 0 _uhttps://doi.org/10.1007/978-3-031-47560-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cEBK
999 _c87240
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