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Design and Implementation of Intrusion Detection System Based on Monocular Vision and YOLOv5 Algorithm
更新时间：2024-05-16
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    • Design and Implementation of Intrusion Detection System Based on Monocular Vision and YOLOv5 Algorithm

    • “科技新闻播报，全自动卸砖打包机工作区安全新突破！专家研发出基于单目视觉与目标检测算法YOLOv5的非法入侵检测系统，通过摄像头获取图像并定位测距，利用算法精准检测识别闲杂人员。系统一旦发现非法入侵，即报警并紧急停机，准确度高达94%以上。相较于传统方法，该系统功能更强大、成本更低，有效保障工作区域安全。”
      ”
    • Software Guide   Vol. 23, Issue 4, Pages: 88-93(2024)

    • DOI：10.11907/rjdk.231230    

      CLC： TP317.4

    • Published：15 April 2024，

      Received：09 March 2023，

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  • LI Chen,XU Zunyi,YAN Chunxiang,et al.Design and Implementation of Intrusion Detection System Based on Monocular Vision and YOLOv5 Algorithm[J].Software Guide,2024,23(04):88-93. DOI： 10.11907/rjdk.231230.

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