With the rapid development of modern society, the demand for motor vehicles has been increasing annually. According to relevant departments, the number of vehicles in possession has been rising continuously, leading to a series of issues. These problems have not only affected the normal functioning of society but have also posed new challenges to public safety and resource management. Currently, mainstream license plate recognition technology has been unable to address these challenges effectively. A method that combines vehicle facial key point localization with facial recognition and ID card comparison has been proposed. This approach allows vehicle identities to be accurately confirmed, thereby significantly improving the efficiency and accuracy of traffic management. Additionally, this technology can be applied in the civil aviation sector, where it can be used to enhance airport security monitoring capabilities, identify suspicious or unauthorized vehicles, analyze traffic flow, optimize route planning, reduce congestion, monitor vehicle usage, predict maintenance needs, appropriately arrange vehicle dispatch, and improve parking space utilization in parking lots to achieve automated vehicle entry and exit management.