Scholarlink

In the context of the global spread of terrorism and extremism, civil aviation security is confronted with greater challenges. Demands for more efficient security screening has spawned new inspection technologies: X-ray computed tomography (CT) streamlines baggage-screening process, while millimeter-wave (MMW) and terahertz (THz) technologies boost the efficiency of personal security inspection and improve passenger experience. Artificial Intelligence (AI) plays a crucial role in enhancing threat detection. By leveraging deep learning algorithms, AI enables automated identification of prohibited items in security screening with the reduction of human error. The advancements of AI applied in airport not only strengthen security protocols but also optimize passenger flow, boosting the overall effectiveness of the security screening process.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Recent Advances in the Integration of Artificial Intelligence with Millimeter-Wave, Terahertz, and Other Technologies in Civil Aviation Security

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Chuqing Feng,
  • Hangting Zhang,
  • Zheng Li,
  • Miao Yin,
  • Yijie Niu

摘要

In the context of the global spread of terrorism and extremism, civil aviation security is confronted with greater challenges. Demands for more efficient security screening has spawned new inspection technologies: X-ray computed tomography (CT) streamlines baggage-screening process, while millimeter-wave (MMW) and terahertz (THz) technologies boost the efficiency of personal security inspection and improve passenger experience. Artificial Intelligence (AI) plays a crucial role in enhancing threat detection. By leveraging deep learning algorithms, AI enables automated identification of prohibited items in security screening with the reduction of human error. The advancements of AI applied in airport not only strengthen security protocols but also optimize passenger flow, boosting the overall effectiveness of the security screening process.