Deep Learning Approaches for Face Mask Detection: A Comprehensive Review

Authors

  • Jayesh N. Rathod, Vishalkumar R. Andodariya, Sweta R. Garasia

Keywords:

face mask detection, deep learning, computer vision, COVID-19, object detection, convolutional neural networks, artificial intelligence

Abstract

The COVID-19 pandemic significantlyincreased the demand for automated face maskdetection systems to support public health measures.This paper presents a comprehensive

References

Aljagoub, D., Na, R., & Cheng, C. (2024). Enhanced delamination detection in concrete decks via numerical simulation and deep learning with UAVIRT. SSRN. https://doi.org/10.2139/ssrn.4883405

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Published

2024-05-23

How to Cite

Jayesh N. Rathod, Vishalkumar R. Andodariya, Sweta R. Garasia. (2024). Deep Learning Approaches for Face Mask Detection: A Comprehensive Review. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 1911–1915. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3055

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