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基于智能識別技術(shù)的鐵路安檢輔助分析裝置研究
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中國鐵道科學(xué)研究院 研究生部

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TP391

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國家重點(diǎn)研發(fā)計劃項目(No. 2020YFF0304100),中國國家鐵路集團有限公司科技研究開(kāi)發(fā)計劃課題(N2021X003)


Research on Railway Security Inspection Auxiliary Analysis Device Based on Intelligent Identification Technology
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    摘要:

    針對鐵路安檢X光圖像判圖高度依賴(lài)人工,時(shí)有發(fā)生漏檢的問(wèn)題,提出一種基于智能識別技術(shù)的鐵路安檢輔助分析裝置。通過(guò)采用視頻圖像接口的硬件設計,解決與安檢儀的適配問(wèn)題。通過(guò)采用跟蹤進(jìn)程、分析進(jìn)程、推送進(jìn)程的多進(jìn)程思路設計,解決60Hz刷新率下的高精度分析顯示問(wèn)題。跟蹤進(jìn)程采用關(guān)鍵點(diǎn)差分算法實(shí)現安檢X光圖像跟蹤,分析進(jìn)程采用改進(jìn)的殘差網(wǎng)絡(luò )(ResNet)實(shí)現特征提取,采用CenterNet算法實(shí)現禁限物品檢測,推送進(jìn)程通過(guò)檢測鍵盤(pán)中斷實(shí)現報警圖像推送。經(jīng)實(shí)驗測試,該裝置禁限物品識別準確率達92%,顯示幀率達60幀/秒,可適配主流品牌安檢儀,滿(mǎn)足鐵路車(chē)站安檢輔助分析需求。

    Abstract:

    Aiming at the problem that the judgment of railway security inspection X-ray image is highly dependent on manual work and sometimes missed prohibited articles, a railway security inspection auxiliary analysis device based on intelligent recognition technology is proposed. Through the hardware design of video image interface, the problem of adaptation to security inspection instrument is solved. Through the multi process design of tracking process, analyzing process and pushing process, the problem of high-precision analysis and display under 60Hz refresh rate is solved. The tracking process uses the key point difference algorithm to track the security inspection X-ray image, the analysis process uses the improved residual network (ResNet) to extract the features, the Centernet algorithm to detect the prohibited articles, and the push process uses the detection keyboard interrupt to push the alarm image. The experimental test shows that the identification accuracy of prohibited items of the device is 92% and the display frame rate is 60fps. It can be adapted to mainstream brand security inspection instruments,meeting the needs of auxiliary analysis of railway station security inspection.

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楊棟,李超,吳興華,王椿鈞,唐雯.基于智能識別技術(shù)的鐵路安檢輔助分析裝置研究計算機測量與控制[J].,2022,30(8):25-30.

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歷史
  • 收稿日期:2022-01-24
  • 最后修改日期:2022-02-28
  • 錄用日期:2022-02-28
  • 在線(xiàn)發(fā)布日期: 2022-08-25
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