Data Signal Detection and Demodulation Based on Object Detection DNN for Image Sensor-Based Visible Light Communication

This study focuses on a digital signage and image sensor-based visible light communication system in which the transmitter side modulates data signals on the signage image, and the receiver side detects and demodulates the data signals from the captured images. In the conventional studies, the detection and demodulation of the data signals are processed independently. This paper proposes a novel algorithm that simultaneously processes the data signal detection and demodulation by applying object detection DNN (Deep Neural Network). Using pseudo received images with blur and noise, it is shown that the proposed method achieves much higher detection and demodulation performance than a template matching-based detection and threshold-based demodulation method.