Mask classification using deep learning methods

Hanrui Wu

doi:10.1117/12.2640910

13 October 2022 Mask classification using deep learning methods

Hanrui Wu

Proceedings Volume 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022); 1228721 (2022) https://doi.org/10.1117/12.2640910
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 2022, Wuhan, China

Abstract

During the COVID-19 pandemic, wearing gauze masks was proven to prevent people from infection. In public areas like shopping malls or schools need a way to supervise people wearing masks. This research aims to provide managers of public areas with an idea to solve this problem by GoogLeNet which is a type of convolutional neural network algorithm. Especially in crowded public areas, people should wear masks whether for their health or the health of others. These areas, such as stations and shopping malls, can only supervise people wearing masks at the entrance, but it is difficult to supervise people wearing masks inside buildings. As a result, many people will take off their masks or incorrectly wear them indoors due to heat. In this case, we consider how to intercept everyone's avatars in the video on closed-circuit television. Use neural network training algorithms to monitor everyone's mask-wearing situation. And promptly warn people who wear masks incorrectly or who do not wear masks.

Citation Download Citation

Hanrui Wu "Mask classification using deep learning methods", Proc. SPIE 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 1228721 (13 October 2022); https://doi.org/10.1117/12.2640910

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KEYWORDS

Convolution

Neural networks

Data processing

Convolutional neural networks

Detection and tracking algorithms

Evolutionary algorithms

Machine learning

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