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Research and Design of an Intelligent Judgment Mode for Urban Rail Transit Security Inspection System
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Xiaofeng XIONG1, Zhaoyuan JIN1, Zhengrong ZHANG2
Urban Rapid Rail Transit | 2024, 37(3) : 64 - 68
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Urban Rapid Rail Transit | 2024, 37(3): 64-68
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Research and Design of an Intelligent Judgment Mode for Urban Rail Transit Security Inspection System
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Xiaofeng XIONG1, Zhaoyuan JIN1, Zhengrong ZHANG2
Affiliations
  • 1 Guangzhou Metro Design & Research Institute Co., Ltd. Guangzhou 510010
  • 2 Guangzhou Metro Group Co., Ltd. Guangzhou 510010
doi: 10.3969/j.issn.1672-6073.2024.03.008
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To improve the efficiency and accuracy of urban railtransit security inspection systems, this paper designs a novel patternrecognition mode to effectively combine artificial intelligence (AI) image recognition technology with manual centralized pattern recognition. First, based on the current liquid inspection, a liquid detection algorithm is introduced to avoid the open inspection of safe liquids. Second, security products are classified according to their risk levels. Finally, AI confidence judgment, manual sampling, or necessary inspection charts are combined to determine the pattern recognition mode, which can flexibly adjust the depth of the AI intervention according to the accuracy of the AI image recognition and the requirements for pattern recognition at different stages. With the continuous improvement in the accuracy of AI image recognition, it gradually changes from an AIassisted manualbased pattern recognition mode to an AIbased manualassisted pattern recognition mode and finally achieves a fully intelligent pattern recognition mode. A case analysis reveals that the judgment graph model can further achieve rapid security inspection, cost reduction, and efficiency increase without reducing the safety inspection level of urban rail transit stations.

urban rail transit  /  security inspection  /  judge graphical model  /  AI
Xiaofeng XIONG, Zhaoyuan JIN, Zhengrong ZHANG. Research and Design of an Intelligent Judgment Mode for Urban Rail Transit Security Inspection System[J]. Urban Rapid Rail Transit, 2024 , 37 (3) : 64 -68 . DOI: 10.3969/j.issn.1672-6073.2024.03.008
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Year 2024 volume 37 Issue 3
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Article Info
doi: 10.3969/j.issn.1672-6073.2024.03.008
  • Receive Date：2023-11-02
  • Online Date：2025-07-09
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History
  • Received：2023-11-02
  • Revised：2024-03-10
Affiliations
    1 Guangzhou Metro Design & Research Institute Co., Ltd. Guangzhou 510010
    2 Guangzhou Metro Group Co., Ltd. Guangzhou 510010
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