YOLOv5sLPRNet.

Xuanhong Wang1, Mingchen Wang1, Hongyu Guo1

  • 1School of Communication and Information Engineering, Xi'an University of Posts and Telecomunications, Xi'an, 710121, China.

Scientific reports
|October 6, 2025
PubMed
概括

本研究引入了使用YOLOv5s和LPRNet改进的车牌识别 (LPR) 系统,提高了复杂条件下的准确性,并使其能够在移动设备上部署.

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