CMOS camera based visible light communication (VLC) using grayscale value distribution and machine learning algorithm

Ke Ling Hsu, Yu Chun Wu, Yu Cheng Chuang, Chi Wai Chow*, Yang Liu, Xin Lan Liao, Kun Hsien Lin, Yi Yuan Chen

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

We demonstrate a visible light communication (VLC) system using light emitting diode (LED) backlight display panel and mobile-phone complementary-metal–oxide–semiconductor (CMOS) camera. The panel is primarily used for displaying advertisements. By modulating its backlight, dynamic contents (i.e. secondary information) can be transmitted wirelessly to users based on rolling shutter effect (RSE) of the CMOS camera. As different display content will be displayed on the panel, the VLC performance is significantly limited if the noise-ratio (NR) is too high. Here, we propose and demonstrate a CMOS RSE pattern demodulation scheme using grayscale value distribution (GVD) and machine learning algorithm (MLA) to significantly enhance the demodulation.

Original languageEnglish
Pages (from-to)2427-2432
Number of pages6
JournalOptics Express
Volume28
Issue number2
DOIs
StatePublished - 16 Jan 2020

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    Hsu, K. L., Wu, Y. C., Chuang, Y. C., Chow, C. W., Liu, Y., Liao, X. L., Lin, K. H., & Chen, Y. Y. (2020). CMOS camera based visible light communication (VLC) using grayscale value distribution and machine learning algorithm. Optics Express, 28(2), 2427-2432. https://doi.org/10.1364/OE.28.002427