The rapid growth of urban populations and the increasing complexity of city infrastructure demand innovative solutions to enhance urban living and ensure public safety. Computer vision technologies based on convolutional neural networks (CNNs) are becoming one of the key technologies for building smart cities, providing real-time automatic analysis of urban environments.The purpose of this work is to analyze the application of computer vision technologies based on convolutional neural networks (CNNs) to enhance public safety and optimize urban infrastructure in the context of smart cities.