LEADER 03591nam 22006615 450 001 9910799214903321 005 20240103163724.0 010 $a3-031-47560-7 024 7 $a10.1007/978-3-031-47560-3 035 $a(CKB)29526975300041 035 $a(MiAaPQ)EBC31071243 035 $a(Au-PeEL)EBL31071243 035 $a(DE-He213)978-3-031-47560-3 035 $a(EXLCZ)9929526975300041 100 $a20240103d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSynthetic Data $eRevolutionizing the Industrial Metaverse /$fby Jimmy Nassif, Joe Tekli, Marc Kamradt 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (186 pages) 311 08$a9783031475597 327 $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. 330 $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. 606 $aArtificial intelligence 606 $aInternet of things 606 $aMultimedia systems 606 $aBig data 606 $aComputer networks 606 $aArtificial Intelligence 606 $aInternet of Things 606 $aMultimedia Information Systems 606 $aBig Data 606 $aComputer Communication Networks 615 0$aArtificial intelligence. 615 0$aInternet of things. 615 0$aMultimedia systems. 615 0$aBig data. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aInternet of Things. 615 24$aMultimedia Information Systems. 615 24$aBig Data. 615 24$aComputer Communication Networks. 676 $a006.3 700 $aNassif$b Jimmy$01586272 701 $aTekli$b Joe$01586273 701 $aKamradt$b Marc$01586274 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910799214903321 996 $aSynthetic Data$93872621 997 $aUNINA