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  • 标题:Face Mask Detection Using Machine Learning Techniques
  • 本地全文:下载
  • 作者:Yogesh N ; Nethravathi ; Santhosh D R
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:7
  • 页码:3201-3205
  • DOI:10.35629/5252-030730553058
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:Coronavirus pandemic brought about by novel Covid is ceaselessly spreading up to this point everywhere in the world. The effect of COVID-19 has been fallen on practically all areas of advancement. The medical services are going through an emergency. Numerous prudent steps have been taken to diminish the spread of this sickness where wearing a mask is one of them. In this project we have used ML, OpenCV and TensorFlow to recognize face masks. This model can be utilized for security purposes since it is very resource efficient to deploy. In this approach MobilenetV2 architecture is used which has BN layer and is very lightweight and we have embedded this model with Raspberry pi to perform real-time mask detection, where, structure of SSD is used and backbone network is lite.The datasets used for this CNN based face mask detection are prepared by Prajna Bhandary and AIZOOTech which are available on Github. These datasets can be used by other researchers for further advanced models such as those of face recognition, facial landmarks, and facial part detection process.
  • 关键词:SSD (Single Shot Detector);COVID-19 (Corona Virus disease);OpenCV (Open Source Computer Vision Library);CNN (Convolutional Neural Network);ML (Machine Learning);BN (bottleneck). I
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