Indoor Positioning Test

The adoption of the WiFi system to identify the personal movement within a campus or shopping mall can help both facilities management and sales/marketing operations. With Big Data Analysis technology, the information collected can be further analyzed with external factors such as exchange rate and weather forecasting to do predictive analysis about the trend and customer demand on both the products, services and activities.

Now, MERC, is being equipped with appropriate technologies of WiFi indoor positioning technology and big data analysis methodology. Your WiFi system can be tested the integration with these technologies and can be certified on its functionalities to produce the expected outputs.

 

Indoor positioning technology:

locate objects or people inside a building using sensory information collected by mobile devices. By distance measurement methodology, WiFi access points actively locate mobile devices and tags for devices to get sensed.

 

Big data analysis:

Base on the indoor positioning information collected by the WiFi with other external sources of information, such as POS and attendance record, many analysis dashboards can be provided, e.g. the movement analysis, customer buying behavior and resources planning analysis dashboard.

 

Contact:

Ms Christina TAI

Tel: 852 3442 4961

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

About the Centre

Multimedia Software Engineering Research Centre
Multimedia Software Engineering Research Centre
City University of Hong Kong (CityU)

This email address is being protected from spambots. You need JavaScript enabled to view it.
M5014, 5/F, Run Run Shaw Creative Media Centre, City University of Hong Kong 18, Tat Hong Avenue, Shek Kip Mei, Kowloon , Hong Kong, China
3442 4961