Display Light Panel and Rolling Shutter Image Sensor Based Optical Camera Communication (OCC) Using Frame-Averaging Background Removal and Neural Network
Chi‐Wai Chow, Yang Liu, Chien‐Hung Yeh, Yun-Han Chang, Yun-Shen Lin, Ke-Ling Hsu, Xin-Lan Liao, Kun-Hsien Lin
Abstract
Optical wireless communication (OWC) has emerged as a complementary or alternative technology to the radio-frequency (RF) communication. OWC based on image sensor, which is also called optical camera communication (OCC) has attracted much attention from industrial and academic societies. Here, we discuss several recent OCC technologies. We propose and demonstrate a light emitting diode (LED) light panel and rolling shutter image sensor based OCC system using frame-averaging background removal (FABR) technique, Z-score normalization, and neural network (NN). Here, a driver circuit for the LED display panel based on a bipolar-junction-transistor (BJT) and a metal-oxide-semiconductor field-effect-transistor (MOSFET) is also discussed. It can provide low enough driving frequency from a few Hz to kHz and high bias current for the LED light panel. Experimental results show that the proposed scheme can mitigate the inter-symbol interference (ISI) observed in the rolling shutter pattern produced by the high noise-ratio (NR) of the display contents.