Research on real time hyper-resolution image recognition based on urban level large scale vehicle network interaction

With the continuous expansion of urban transportation networks and the increase in the number of vehicles, real-time monitoring and identification of urban transportation networks has become an important research direction. This article proposes a real-time super-resolution image recognition method based on large-scale urban vehicle network interaction. This method improves the efficiency of traffic management and control by monitoring and identifying vehicles in the urban transportation network in real time. This article adopts deep learning and image super-resolution techniques, and uses large-scale datasets for experimental verification, achieving good results.