应用增强实时监控和计数方法,以有效管理塔什干特的交通

Alpamis Kutlimuratov1, Jamshid Khamzaev2, Temur Kuchkorov3

  • 1Department of AI, Software Gachon University, Seongnam-si 13120, Republic of Korea.

PubMed
概括

本研究介绍了使用YOLOv5和DeepSort用于智能运输系统的增强实时车辆计数系统. 该系统在识别和跟踪车辆方面达到98.1%的准确性,以减少交通拥堵.

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