Interference Detection for Visible Light Markers

MPhil Thesis Defence

Title: "Interference Detection for Visible Light Markers"


Mr. Ali Ugur GULER


With the explosion of the Internet of Things (IoT) and Augmented Reality (AR), 
the number of objects to identify grew up exponentially in recent years and 
solutions such as visual markers or radio technologies are starting to show 
their limits. Visible light markers have been proposed to overcome these 
limitations. However, visible light communication (VLC) is very sensitive to 
interferences. As such, if two light markers are overlapping, the corresponding 
signals cannot be recovered. In smart homes, this situation is likely to occur 
as devices can be placed in very close proximity. In this paper, we design a 
protocol based on orthogonal codes to detect and isolate adjacent light 
markers, and individually identify several contiguous objects. We implement the 
algorithms within an Android application and evaluate their effect both 
analytically and experimentally. We demonstrate the robustness of our protocol 
in different conditions, both at the transmitter and the receiver side. Light 
markers are correctly recovered with low error rates (under 5%), at a pace of 5 
frames per second, enough for object identification in most IoT scenarios.

Date:			Monday, 17 December 2018

Time:			2:00pm - 4:00pm

Venue:			Room 2131A
 			Lift 19

Committee Members:	Dr. Pan Hui (Supervisor)
 			Prof. Gary Chan (Chairperson)
 			Dr. Wei Wang

**** ALL are Welcome ****