Indoor Localization Through Visible Light Characterization Using Front-Facing Smartphone Camera

Research conducted in the field of localization with passive light, or using the intrinsic properties of light to determine a person's location, has seen increased growth in recent years. Specifically, fluorescent lights have been shown to exhibit distinct frequencies which can be recorded, along with their positions, for future lookup and positioning. Developments have been made in utilizing this phenomenon with a smartphone's high-resolution back-facing camera, however the constant flipping between the camera and the screen results in a poor user experience. In this paper, we propose an algorithm for extracting and analyzing both loop-shaped and tubular fluorescent lights. Similarly, we contribute an improved method for detecting frequency characteristics of unmodified fluorescent lights using a smartphone's front facing camera, therefore eliminating the need to constantly flip the phone.