Safety inspection is an important measure to ensure the safety of railway stations. In order to optimize the problems of resource waste in security inspection image recognition operation, a comprehensive analysis of the entire operation process of centralized security inspection image recognition was conducted, and constructs a centralized image recognition schedule control system of security inspection. Based on the queuing theory model, package-image association, and object detection, in-depth research was carried out on the centralized image recognition scheduling control strategy, the rapid package positioning method, and the intelligent assisted image analysis service. The system follows the principle of "first come, first judged", aiming to minimize costs while ensuring the efficiency of security inspection operations. By analyzing the number of arriving passengers, the appropriate number of image judges was reasonably determined. Through dual verification by simulation experiments and on-site measurements, the results show that on the premise of meeting the real-time requirements for security inspection and disposal operations, the system can effectively reduce passenger waiting time for security checks, and reduce the overall cost by 80%. This research can provide a theoretical basis for promoting the upgrading of security inspection operation modes and management methods, thus achieving the enhancement of quality and efficiency in passenger security inspection.