Museum Ai Project

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Audience Analytics Program

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

AI project of British Museum

Assessment of user-generated content to learn about visitors' needs and interests.

The Museum Analytics (MAtics)

The project explores the role of technology in audience analytics in museums.

Dexibit Study Case

collaboration with Dexibit for analysing visitor behaviour aimed to forecast museum visits

INSIGHT. Intelligent Neural Systems as InteGrated Heritage Tools

"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).

Dexibit predictive museum analytics

Analyses of visitor behaviour regarding the permanent and temporary exhibitions, based on the collection of attendance data, wifi data, website frequentation data.

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

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.

Number Fascination (part of Me-Mind Project)

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.

RUTAS (Robots for Urban Tourism centers, Autonomous and Semantic based)

The study proposes an object recognition technique for museums called ODROM (Object Detection and Recognition supported by Ontologies and applied to Museums). ODROM can be implemented in a robot.

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