Museum Ai Project

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AI project of British Museum
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Assessment of user-generated content to learn about visitors' needs and interests.
Dexibit Study Case
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collaboration with Dexibit for analysing visitor behaviour aimed to forecast museum visits
Dexibit predictive museum analytics
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Analyses of visitor behaviour regarding the permanent and temporary exhibitions, based on the collection of attendance data, wifi data, website frequentation data.
ShareArt
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camera placed next to the works records visitor behaviour. The collected data is then shared with a central storage and processing server. The program explores visitors’ appreciation of art
Audience Analytics Program
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experiment was conducted to evaluate attendance rates of smaller exhibitions based on tracking via Wifi data. This was done on the occasion of the "Degas: At the Track, on the Stage" show
Number Fascination (part of Me-Mind Project)
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Data collection and analysis via the interactive exhibition Number Fascination (part of Me-Mind project) for the evaluation of visitor experiences in order to adapt the exhibition.
INSIGHT. Intelligent Neural Systems as InteGrated Heritage Tools
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"This project aims to deploy the recent advances in Artificial Intelligence (language technology and computer vision in particular) to support the enrichment of [...] collections with descriptive metadata" (Project website).
The Museum Analytics (MAtics)
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The project explores the role of technology in audience analytics in museums.
Building AI
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The museum's security system with an integrated alarm for the protection of museum objects also includes a counting feature. This supports visitor analytics in terms of understanding visitor demographics and behaviour.