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Барометър на достъпността
Дигитална достъпност за хора със специални потребности:
методология, концептуални модели и иновативни екосистеми


Creating and storing 7D digital twins

Автор(и)

Radoslav Markov, Galina Bogdanova, Malinka Ivanova

Публикувано в

8th International Conference on Smart and Sustainable Technologies (SpliTech), Split/Bol, Croatia, 2023, Institute of Electrical and Electronics Engineers (IEEE), 2023

Резюме

    The possibility of creating digital twins of physical objects for cultural heritage and electronics industry, is explored in this paper. Anyway, the presented approach could be applied to digital objects of any nature. The proposed seven-dimensional (7D) digital twin model extends beyond the standard three-dimensional voxel representation, incorporating full color representation via XYZ color coordinates, surface structure through optical coherence tomography, surface composition through spectral fingerprint and surface sound. Various technologies that can be used for this new type of 7D scanning are discussed, as well as a proposed file format for storing these digital twins. The benefits and current limitations of this process are also explored, with suggested strategies for overcoming these limitations. The creation of 7D digital twins presents new opportunities for preservation, study, and access to physical objects, and has the potential to revolutionize the way cultural heritage is experienced and shared. Exploration on combining digital twins with machine learning has also been done.

Ключови думи

Solid modeling; Three-dimensional displays; Machine learning; Color; Surface structures; Digital twins; Printers; 3D scan; visually impaired; Optical Coherence Tomography; XYZ color representation; electronics

Връзки

https://doi.org/10.23919/SpliTech58164.2023.10193580

https://ieeexplore.ieee.org/document/10193580

Цитирай като

R. Markov, G. Bogdanova and M. Ivanova, (2023). Creating and storing 7D digital twins, 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech), Split/Bol, Croatia, 2023, pp. 1-5, doi: 10.23919/SpliTech58164.2023.10193580.

Публикацията представя близки до проекта теми, но не е част от проекта