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Deep Learning Applied to the Detection of Masks on Faces

Author

Listed:
  • Jose Luis Calderon Osorno

    (Instituto Politecnico Nacional, Mexico)

  • Edmundo Rene Duran Camarillo

    (Instituto Politecnico Nacional, Mexico)

  • Silvestre Ascencion Garcia Sanchez

    (, Instituto Politecnico Nacional, Mexico)

Abstract

Derived from the pandemic COVID19 that we are currently experiencing as a security measure it is very important that people wear face masks especially in public places, to try to minimize the spread of the SARS-Cov2 virus; this Project consisted in the detection of faces with and without face masks applying Deep learning neural networks, it was developed by using Python and the libraries TensorFlow and OpenCV which allowed to apply learning rules to artificial vision systems. The above would allow the installation of artificial vision systems in public places soon to warn and invite people to wear face masks when detected by the system.

Suggested Citation

  • Jose Luis Calderon Osorno & Edmundo Rene Duran Camarillo & Silvestre Ascencion Garcia Sanchez, 2021. "Deep Learning Applied to the Detection of Masks on Faces," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 5(5), pages 47-49, September.
    • Handle: RePEc:epw:ejece0:v:5:y:2021:i:5:id:19363
    DOI: 10.24018/ejece.2021.5.5.363
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