TY - CHAP
T1 - IoT solutions for large open-air events
AU - Sottile, Francesco
AU - Foglietti, Jacopo
AU - Pastrone, Claudio
AU - Spirito, Maurizio A.
AU - Defina, Antonio
AU - Eisenhauer, Markus
AU - Devasya, Shreekantha
AU - Schoneveld, Arjen
AU - Frey, Nathalie
AU - Pierre-Yves, Hors
AU - Remagnino, Paolo
AU - Oghaz, Mahdi Maktabdar
AU - Haddad, Karim
AU - Kouzinopoulos, Charalampos S.
AU - Stavropoulos, Georgios
AU - Munoz, Patricio
AU - Carra, S├®bastien
AU - Kool, Peeter
AU - Rosengren, Peter
PY - 2020
Y1 - 2020
N2 - This chapter presents the main results of the MONICA project, one of the five large-scale pilot projects funded by the European Commission. MONICA focuses on the adoption of wearable IoT solutions for the management of safety and security in large open-air events as well as on the reduction of noise level for neighbours. The project addresses several challenges in eleven pilots of six major European cities using a large number of IoT wearables and sensors. The chapter first introduces all MONICA challenges in the context of large open-air events and then presents the corresponding adopted technical solutions, the defined IoT architecture and the perspective in integrating a wide range of heterogeneous sensors. On one side, the focus is on the solutions that have been adopted to improve the crowd management, crowd safety and emergency responses by using wearables for both visitors and the security staff at the events, including also the adoption of video processing and data fusion algorithms to estimate the number of visitors and its distribution in the event area and to detect suspicious activity patterns. On the other hand, it describes how innovative Sound Level Meters (SLMs) can be deployed to monitor the sound propagation within the event area while reducing the noise impact on the neighbourhood.
AB - This chapter presents the main results of the MONICA project, one of the five large-scale pilot projects funded by the European Commission. MONICA focuses on the adoption of wearable IoT solutions for the management of safety and security in large open-air events as well as on the reduction of noise level for neighbours. The project addresses several challenges in eleven pilots of six major European cities using a large number of IoT wearables and sensors. The chapter first introduces all MONICA challenges in the context of large open-air events and then presents the corresponding adopted technical solutions, the defined IoT architecture and the perspective in integrating a wide range of heterogeneous sensors. On one side, the focus is on the solutions that have been adopted to improve the crowd management, crowd safety and emergency responses by using wearables for both visitors and the security staff at the events, including also the adoption of video processing and data fusion algorithms to estimate the number of visitors and its distribution in the event area and to detect suspicious activity patterns. On the other hand, it describes how innovative Sound Level Meters (SLMs) can be deployed to monitor the sound propagation within the event area while reducing the noise impact on the neighbourhood.
KW - Computer science and informatics
UR - https://www.riverpublishers.com/dissertations_xml/9788770221955/9788770221962.xml#ch05
U2 - 10.13052/rp-9788770221955
DO - 10.13052/rp-9788770221955
M3 - Chapter
SN - 9788770221962
T3 - River Publishers series in communications
SP - 233
EP - 279
BT - Internet of things - the call of the edge
A2 - Vermesan, Ovidiu
A2 - Bacquet, Joël
PB - River Publishers
CY - Gistrup, Denmark
ER -