The combination of technologies enabling the Internet of Things and advanced computer vision techniques find application in several real contexts. Among these, the tourism sector and in particular the access to artistic and cultural heritage represents a context where the interest in the use of innovative technologies is very high. In these contexts, the interest is mainly focused on improving the accessibility of artistic and cultural places and guarantee personalized contents in order to make the tourist experience unique during a cultural visit. The use of innovative technologies such as mobile devices, BLE beacons, and Cloud services is essential for achieving these objectives. Among the computer vision techniques, a particularly useful and interesting technique in the aforementioned contexts is based on the extraction of keypoints. This work summarizes the main scientific results obtained within a research project called INSTANT. The description of the system architecture has been reported and the first functional validation of the entire proposed system has been discussed through some demo labs.

A Novel Approach based on Microservices Architectures and Computer Vision to improve access to Culture Heritage

Cosimo Distante;Ilaria Sergi;Luigi Patrono
2020-01-01

Abstract

The combination of technologies enabling the Internet of Things and advanced computer vision techniques find application in several real contexts. Among these, the tourism sector and in particular the access to artistic and cultural heritage represents a context where the interest in the use of innovative technologies is very high. In these contexts, the interest is mainly focused on improving the accessibility of artistic and cultural places and guarantee personalized contents in order to make the tourist experience unique during a cultural visit. The use of innovative technologies such as mobile devices, BLE beacons, and Cloud services is essential for achieving these objectives. Among the computer vision techniques, a particularly useful and interesting technique in the aforementioned contexts is based on the extraction of keypoints. This work summarizes the main scientific results obtained within a research project called INSTANT. The description of the system architecture has been reported and the first functional validation of the entire proposed system has been discussed through some demo labs.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/442786
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