Share Email Print
cover

Proceedings Paper

SYNAISTHISI: an IoT-powered smart visitor management and cognitive recommendations system
Author(s): Giorgos Konstandinos Thanos; Christina Karafylli; Maria Karafylli; Dimitris Zacharakis; Apostolis Papadimitriou; Kostantinos Dimitros; Konstantina Kanellopoulou; Dimitris M. Kyriazanos; Stelios C. A. Thomopoulos
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Location-based and navigation services are really needed to help visitors and audience of big events, complex buildings, shopping malls, airports and large companies. However, the lack of GPS and proper mapping indoors usually renders location-based applications and services useless or simply not applicable in such environments. SYNAISTHISI introduces a mobile application for smartphones which offers navigation capabilities outside and inside buildings and through multiple floor levels. The application comes together with a suite of helpful services, including personalized recommendations, visit/event management and a helpful search functionality in order to navigate to a specific location, event or person. As the user finds his way towards his destination, NFC-enabled checkpoints and bluetooth beacons assist him, while offering re-routing, check-in/out capabilities and useful information about ongoing meetings and nearby events. The application is supported by a back-end GIS system which can provide a broad and clear view to event organizers, campus managers and field personnel for purposes of event logistics, safety and security. SYNAISTHISI system comes with plenty competitive advantages including (a) Seamless Navigation as users move between outdoor and indoor areas and different floor levels by using innovative routing algorithms, (b) connection to and powered by IoT platform, for localization and real-time information feedback, (c) dynamic personalized recommendations based on user profile, location and real-time information provided by the IoT platform and (d) Indoor localization without the need for expensive infrastructure and installations.

Paper Details

Date Published: 17 May 2016
PDF: 18 pages
Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 984219 (17 May 2016); doi: 10.1117/12.2224045
Show Author Affiliations
Giorgos Konstandinos Thanos, National Ctr. for Scientific Research Demokritos (Greece)
Christina Karafylli, National Ctr. for Scientific Research Demokritos (Greece)
Maria Karafylli, National Ctr. for Scientific Research Demokritos (Greece)
Dimitris Zacharakis, National Ctr. for Scientific Research Demokritos (Greece)
Apostolis Papadimitriou, National Ctr. for Scientific Research Demokritos (Greece)
Kostantinos Dimitros, National Ctr. for Scientific Research Demokritos (Greece)
Konstantina Kanellopoulou, National Ctr. for Scientific Research Demokritos (Greece)
Dimitris M. Kyriazanos, National Ctr. for Scientific Research Demokritos (Greece)
Stelios C. A. Thomopoulos, National Ctr. for Scientific Research Demokritos (Greece)


Published in SPIE Proceedings Vol. 9842:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXV
Ivan Kadar, Editor(s)

© SPIE. Terms of Use
Back to Top