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ATON framework is based on modern web standards and technologies to create interactive, liquid and collaborative Web3D/WebXR apps targeting Cultural Heritage field. It adopts a “develop once, deploy everywhere” approach, providing building-blocks and a modular architecture
This paper presents the MAC App, an application designed for an Italian archaeological museum in the Avellino province, the Museo Archeologico Carife. The MAC App was carried out by Laura Travaglini and Francesca Borriello as part of their final project for the Digital Heritage and Multimedia course at the University of Bologna (a.y. 2021-22).
Sistem informasi ini adalah platform museum digital berbasis web yang dirancang untuk melestarikan dan menampilkan peninggalan sejarah Kalijati, Indonesia. Platform ini berfungsi sebagai museum virtual, yang menyediakan akses publik terhadap koleksi sejarah, publikasi, dan informasi tentang kekayaan budaya dan sejarah kawasan ini.
Beginner-friendly tutorial for using Python in Azure Machine Learning to process handwritten museum collection records. Walks you through OCR with Azure AI Vision, structuring data, exporting to CSV/JSON, and performing analysis & insights. No prior coding experience required.
Step-by-step tutorial for using Python in Google Colab to process handwritten museum collection records. Covers OCR with EasyOCR and TrOCR, cleaning and structuring data, and performing analysis. Designed for scholars and professionals, with clear explanations, ethics, and reproducibility.
🎙️ Digital minnearkiv for eldre brukere - Bevar livshistorier med AI-assistanse og enkle delingsfunksjoner. Spesiallaget for norske brukere med tilgjengelig design.