MATEC Web Conf.
Volume 336, 20212020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|Number of page(s)||5|
|Section||Artificial Recognition and Application|
|Published online||15 February 2021|
Intelligent masked-person detection system for epidemic prevention and control
1 Wuhan University of Technology, Wuhan 430070, China
2 Suzhou Inovance Technology Co., Ltd. Suzhou 215104, China
* Corresponding author: email@example.com
In order to control the epidemic and complete the supervision of increasing population, we devised a kind of face detection system. This system detected face with MTCNN and then it detect whether the person wears the mask with MobileNet. Also we added non-standardized samples in the model training so that it can detect pedestrians who are not properly worn. The experimental results showed that the system can effectively identify the wearing of masks.
© The Authors, published by EDP Sciences, 2021
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