Research on rail intelligent security system based on YOLO

Tianyuanye Wang, Kaijiang Zhao
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Abstract

Aiming at the positioning problems existing in rail transit system, this paper proposes an intelligent image recognition and positioning algorithm, which adopts deep learning technology to identify vehicles. And, through field test, the experimental results show the effectiveness of the algorithm. Its implementation cost is significantly lower than the existing equipment and can meet the requirements of the existing engineering practice.
基于YOLO的铁路智能安防系统研究
针对轨道交通系统中存在的定位问题,本文提出了一种智能图像识别与定位算法,该算法采用深度学习技术对车辆进行识别。并通过现场测试,实验结果表明了算法的有效性。其实施成本明显低于现有设备,能够满足现有工程实践的要求。
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