A Communication And Position System Based On Visible Light Invisible QR Code

Visible light communication technology is a kind of emerging wireless optical communication technology which developed after the white light LED was used to the community;LED can not only be applied to indoor lighting,but also can be applied to wireless optical communication system.It meets the need for communication and position between terminals in the room.Based on the research and analysis of the spectral properties and modulation characteristics of white light LEDs,this thesis focuses on modulation of invisible QR codes by the white LED through the on-off keying,And get the information from invisible QR code,it will be an indoor visible light communication and position system,and explained the advantages or disadvantages of machine learning and deep learning in receiving invisible QR code.According to the idea of communication system from transmitter to receiver,this paper introduces the design idea and experimental process of the invisible QR code from start to the end.Among them,at the transmitter of the system,this thesis adopts OOK modulation technology to arrange the modulated LED lights into a customizable invisible two-dimensional code for Communication and Position;At the receiver of the system,in this paper,a communication system is built with socket,and it compares the advantages and disadvantages of the machine learning algorithm and depth learning algorithm from the aspects of accuracy,iteration number,equipment,time and number of training sets in processing the images of invisible QR code;At the same time,In this paper,it use GANs to generate images which is similar to the pictures that was obtained by Android mobile phone.The experimental results show that these new images will improve the accuracy of machine learning and depth learning algorithms.