Data signal demodulation based on machine learning for digital signage and image sensor based visible light communication

抄録

In this paper, we discuss a visible light communication (VLC) system using a digital signage and an image sensor. We focus on the demodulation part and propose a method that demodulates transmitted data signals from received images of the image sensor using machine learning. The performance of the proposed machine learning-based demodulation method is evaluated for various datasets that simulate noise, blurring, and misalignment that may occur in received images.