基于人工智能的航站楼智能物流安检系统设计

Design of Terminal Intelligent Logistics Security Inspection System Based on Artificial Intelligence

为提高安检系统物品的异常识别率,扩大实际检测范围,结合人工智能技术设计航站楼智能物流安检系统。系统电路中接入物流安检敏捷检测器,利用现场可编程逻辑门阵列(Field Programmable Gate Array,FPGA)核心板设计检测器,并与物流外部检测接口连接,形成稳定的硬件环境。设计消息队列(Message Queue,MQ)人工智能识别指令集群,建立行人重识别(Person Re-identification,ReID)人工智能安检物成像程序,实现系统软件的搭接。系统测试结果表明,设计的系统响应时间短,且反演能力强,检测效果可靠,具有实际应用价值。

In order to improve the abnormal recognition rate of items in the security inspection system and expand the actual detection range,a terminal intelligent logistics security inspection system is designed in combination with artificial intelligence technology.The logistics security inspection agile detector is connected to the system circuit,and the detector is designed using the Field Programmable Gate Array(FPGA)core board,and is connected with the logistics external detection interface to form a stable hardware environment.Design a Message Queue(MQ)artificial intelligence identification instruction cluster,establish a pedestrian re-identification(Person Reidentification,ReID)artificial intelligence security inspection object imaging program,and realize the overlap of system software.The system test results show that the designed system has short response time,strong inversion ability,reliable detection effect,and has practical application value.