Modeling of Person Tracking System with Indoor Location Detection Methods

YÜKSEK A. G. , ARSLAN H. , Cifci G., Elyakan M. L.

International Conference on Artificial Intelligence and Data Processing (IDAP), Malatya, Turkey, 28 - 30 September 2018 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Malatya
  • Country: Turkey


In indoor environments, location sensing and management enables a variety of functional mechanisms to be incorporated into business applications. These are just one of those people in the campus. In this study, the control of the assets in the campuses that are required by the people in the predetermined time periods is carried out. In this work, which is a combination of current hardware and software structures, decision support systems have been established through machine learning algorithms. Given the success of the model obtained, the system has begun to be developed to be integrated into a business application.