The invention belongs to the technical field of traffic monitoring, and particularly relates to a traffic monitoring method and a traffic
monitoring system based on unmanned aerial vehicle image recognition, and the method comprises the steps: firstly, combining real-time traffic data, planning an optimal path through an A *
algorithm, and carrying out the dynamic adjustment; then, an
air monitoring network is formed by adopting a Mesh ad hoc network technology, elastic expansion and automatic position covering are supported, and a blind area is avoided; meanwhile, the state of the unmanned aerial vehicle is monitored in real time, automatic homeward voyage is achieved in low electric quantity, and a standby vehicle is dispatched to ensure stable
image acquisition; based on this, the unmanned aerial vehicle cluster collaborative networking and dynamic position covering mechanism is adopted, and the regional priority
resource allocation strategy is combined, so that the method has the advantages of realizing comprehensive monitoring of blind areas covered by traditional fixed equipment, such as suburban roads, urban and rural joint road sections, mountain roads and the like, and eliminating traffic monitoring blank areas.