一个有效的基于堆叠的自编码器的深度可分离的卷积神经网络模型,用于面罩检测

Sundaravadivazhagan Balasubaramanian1, Robin Cyriac1, Sahana Roshan1

  • 1University of Technology and Applied Sciences - Al Mussanah, Department of Information Technology, Al Muladdah, 314, South Al Batinah, Oman.

Array (New York, N.Y.)
|June 9, 2023
PubMed
概括

本研究介绍了使用主要组件分析 (PCA) 和深度可分离卷积神经网络 (DWSC-NN) 进行准确的面具检测的深度学习方法. 该系统有效地识别个人是否戴着口罩,以及是否正确佩戴口罩,从而达到高准确度.

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