Visible light screen communication has the characteristics of strong anti-interference ability

no occupation of frequency spectrum resources

simple link deployment

and easy interaction.This paper designs a visible light screen communication system based on Convolutional Neural Network（CNN）.It includes the definition of the frame structure

the introduction of the receiving unit CNN module

and the design of the resolution mechanism.The definition of the frame structure ensures the reliability of the system and enriches the diversity of the transmission content of the screen communication.The introduction of the CNN module allows the receiving unit to automatically identify the content sent by the screen.It also does not rely on traditional positioning detection patterns

which improves the intelligence and information carrying capacity.The design of the two resolution mechanisms improves the universality of screen communication.It can achieve 96.4% recognition success rate at realtime 150 kbit/s and non-real-time 300 kbit/s communication rate

which can be used to transmit text

picture

audio type files.