Design of license plate recognition platform in micro traffic environment

In order to meet the experimental and teaching needs, a license plate recognition platform is designed by using deep learning network and micro traffic environment. Firstly, the platform captures the car which cross the boundary through the video monitoring system. Then, the captured images are transmitted to the server through the wireless communication network. And the server will call the faster R-CNN to detect the license plate, transmitting it to the LPRNet for recognition. Finally, the Tkinter Library in Python is used to display the recognition results in real-time. The experiment shows that the platform can play an important role in the research of intelligent transportation system, and has some importance in engineering application.