TRAFFIC CONDITION SYSTEM FOR INTERNET OF VEHICLES BASED ON IMAGE RECOGNITION

The invention discloses a traffic condition system for Internet of vehicles based on image recognition, comprising a plurality of in-vehicle devices and a backend platform; using edge computing to carry out the traffic condition identification in the image by each in-vehicle device. Each in-vehicle device captures images and analyzes the images to obtain the traffic condition information on the road. The information is divided into static easily-detectable information, dynamic easily-detectable information and static not-easily-detectable information and filed to the backend platform via wireless transmission. The backend platform is to verify the validity of the traffic condition information by means of cross-validation mechanism and supplemented by the dynamic prediction mechanism, to establish a traffic condition map and transmit the traffic condition information to each in-vehicle device according to the position of each driver for the attention, so as to form a low-bandwidth, automated traffic condition system for Internet of vehicles.