Internal Navigation and Crowd Management System for a University

Abstract

Navigating through a campus to access various services provided by its departments, is challenging for visitors and students who are new to the university. It would be beneficial for visitors, students, and staff to get information of all locations that provide a specific service along with availability of each location. People who require services from a university could also benefit from a personalized recommendation service that makes suggestions for any questions they have regarding services provided by the university. This research aims to develop an easily accessible, voice-based internal navigation and crowd management system for universities. The researchers propose to use Bluetooth beacons for accurately identifying the location of a user, using the AR technology for a much more interactive way of navigating users, object detection methodologies for producing crowd density information, and using NLP for making personalized recommendations for any questions the user might have regarding a certain service.

Country : Sri Lanka

1 Piyumantha H. P. A. H.2 Prabhash D. V. S.3 Weerasinghe T. K.4 Weerasiri R. T. K.5 D. I. De Silva

  1. Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka
  2. Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka
  3. Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka
  4. Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka
  5. Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka

IRJIET, Volume 7, Issue 11, November 2023 pp. 444-452

doi.org/10.47001/IRJIET/2023.711060

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