This paper aims to explore the application of deep learning in the field of vehicle speed meas-urement.Firstly,the background of current vehicle speed measurement and the problems of radar ta-chometer are introduced.Then a new method is proposed,which uses the depth learning framework and the captured images of passing vehicles to measure the vehicle speed.This method designs a complete set of neural network speed measurement system,including target detection neural network and self built speed calculation convolution neural network.Through experiments,we have obtained a series of test re-sults.This study shows that deep learning has great potential and broad application prospects in speed measurement.However,the method needs to be further improved and optimized to improve the accuracy and stability of speed measurement.Through the in-depth study of in-depth learning in the field of speed measurement,we are expected to make greater contributions to the development of speed measurement technology in the future.
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