On the Problem of Effective Image Recognition in High-Load Conditions

This article is devoted to the research and development of a traffic flow monitoring system. The relevance of the research is due to the rapid growth of the number of vehicles. During the research, existing methods and solutions in the field of traffic flow monitoring were analyzed, and their features, advantages, and disadvantages were identified. Based on the data obtained, a proprietary traffic flow monitoring system was developed. During the work, detection and classification methods using YOLO were used. The developed solution was tested on real data, demonstrating high speed, accuracy, and efficiency. The practical significance of the work lies in the possibility of implementing the developed system in urban infrastructure.