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作 者:范福川 Fan Fuchuan(Maxvision Technology Co.,Ltd.,Shenzhen,Guangdong 518000)
出 处:《现代工程科技》2024年第24期39-42,共4页Modern Engineering Technology
摘 要:随着航空旅客流量的持续增长和全球安全形势的复杂化,机场安全管理面临着前所未有的挑战。传统行李检查方式存在效率低、误报率高等问题,无法满足现代化机场的安全需求。智能行李预检系统作为一种集成了图像识别、机器学习和多传感器融合技术的创新解决方案,可以大幅提升行李检查的准确性和效率。通过案例分析和数据验证,探讨智能行李预检系统在机场安全管理中的应用效果。研究表明该系统能够有效降低人工检查负担,提高风险拦截能力并对未来机场安全管理的发展具有重要意义。从系统架构、关键技术、应用案例及效果评估等方面深入分析,为机场安全管理提供了新的思路和实践参考。With the continuous growth of air passenger traffic and the complexity of the global security situation,airport security management is facing unprecedented challenges.The traditional luggage inspection method has problems such as low efficiency and high false alarm rate,which cannot meet the security needs of modern airports.The intelligent luggage pre inspection system,as an innovative solution that integrates image recognition,machine learning,and multi-sensor fusion technology,can significantly improve the accuracy and efficiency of luggage inspection.Through case analysis and data verification,explore the application effect of intelligent baggage pre check system in airport security management.Research has shown that this system can effectively reduce the burden of manual inspections,improve risk interception capabilities,and has significant implications for the future development of airport security management.This article provides in-depth analysis from the aspects of system architecture,key technologies,application cases,and effectiveness evaluation,providing new ideas and practical references for airport safety management.
关 键 词:智能行李预检系统 机场安全管理 图像识别 风险拦截 机器学习
分 类 号:V35[航空宇航科学与技术—人机与环境工程]
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