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AUTOMated enriched digitisation of Archaeological liThics and cerAmics

Objective

Objects connect us to memories and experiences. They possess biographies that reveal their human relationships. This is why archaeologists focus on material culture, gathering countless archaeological finds to preserve what we can learn and the stories they create for current and future generations. Archaeology unlocks these stories, enabling objects to speak about their origins, uses, and evolution. They offer insights into technology, daily life, relationships, the environment, and human history. Pottery and lithics are common forms of archaeological evidence, holding crucial information. However, documenting and classifying these finds is labour-intensive, it limits our understanding of these objects. While digitisation campaigns have been undertaken, they remain complex, time-consuming, and costly, leaving millions of artefacts inaccessible. AUTOMATA will transform this process by enabling low-cost and time-efficient digitisation. Using AI-augmented robotics and sensors, AUTOMATA will create 3D models enriched with archaeometric data, providing a practical and cost-effective solution for digitisation. Robotic tools with newly developed AI methodologies will improve the digitisation process of visible and non-visible properties of archaeological finds, enhance the robustness and efficiency of 3D digitisation, improve surface appearance acquisition, and integrate 2D representations. This approach streamlines data acquisition, aided by human-AI collaboration, and, in turn, the collection of big, well-identified data will empower the development of AI models. This cost-effective technology will democratise access to digitisation, benefiting museums and smaller institutions, aid preservation methods and restorers’ work, and foster inclusive knowledge-sharing via a dedicated crowdsourcing platform. Finally, the data collected by AUTOMATA will ensure seamless integration of data into the ECCCH Cloud and facilitate data sharing and innovative usage strategies by CCIs.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

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(opens in new window) HORIZON-CL2-2023-HERITAGE-ECCCH-01

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Coordinator

UNIVERSITA DI PISA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 734 456,25
Address
LUNGARNO PACINOTTI 43/44
56126 PISA
Italy

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Region
Centro (IT) Toscana Pisa
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (10)

Partners (2)

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