An Insight Into Facial Mask and Social Distance Monitoring System Based on Deep Learning Object Detector to Prevent Covid-19 Transmission


DOI: https://doi.org/10.15308/Sinteza-2021-120-127
Authors:
Javed Irum
Khalid Samina
Shehryar Tehmina
Mehmood Yesir
Ahmad Iftikhar

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Keywords:
COVID-19, Deep Learning, Machine Learning, Social Distance, Object Detection.


Abstract:
During the COVID-19 pandemic, facial mask detection and monitoring the social distance between persons is an essential and challenging task. Along with other several machine learning techniques, deep learning has been successfully applied for object detection. In this paper, we have thoroughly explored the deep learning object detection methods for facial masks and physical distance. We have discussed an overview of object detection methods in the form of taxonomy and analyse one-stage and two-stage object detectors. In the end, some open research challenges have been presented as well.

CITATION:

IEEE format

J. Irum, K. Samina, S. Tehmina, M. Yesir, A. Iftikhar, “An Insight Into Facial Mask and Social Distance Monitoring System Based on Deep Learning Object Detector to Prevent Covid-19 Transmission,” in Sinteza 2021 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2021, pp. 120-127. doi:10.15308/Sinteza-2021-120-127

APA format

Irum, J., Samina, K., Tehmina, S., Yesir, M., Iftikhar, A. (2021). An Insight Into Facial Mask and Social Distance Monitoring System Based on Deep Learning Object Detector to Prevent Covid-19 Transmission. Paper presented at Sinteza 2021 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2021-120-127

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