Название: Synthetic dаta: Revolutionizing the Industrial Metaverse
Автор: Jimmy Nassif, Joe Tekli, Marc Kamradt
Издательство: Springer
Год: 2024
Страниц: 186
Язык: английский
Формат: pdf (true), epub
Размер: 47.2 MB
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. For decades, computer scientists attempted and failed to develop computer vision algorithms that could reliably identify what is inside an image—telling us whether an image contains a cat or a dog. Most had given up hope that we would solve this problem in our lifetime. That was until the invention of AlexNet ignited the Big Bang of modern Artificial Intelligence. There’s a beautiful duality to 3D computer graphics and computer vision. 3D computer graphics is a function that transforms a structured description of a 3D world into images over time—a simulation of what a camera sensor would experience in that world. Computer vision is the inverse of this function; transforming images over time into a structured representation of the 3D world. The AIs that will be the most impactful and valuable to human-kind will be the ones that can understand our real world and operate within it. To create these AIs, we must first model the real world and simulate it to generate the life experience for them.
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