A swift and efficient method for face mask recognition based on off-the-shelf models

Chongxiao Qu; Jiping Zheng; Yongjin Zhang; Changjun Fan; Shuo Liu

doi:10.1117/12.2685006

19 October 2023 A swift and efficient method for face mask recognition based on off-the-shelf models

Chongxiao Qu, Jiping Zheng, Yongjin Zhang, Changjun Fan, Shuo Liu

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 1270917 (2023) https://doi.org/10.1117/12.2685006
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

Since the outbreak of COVID-19, the widespread use of face masks has prompted significant research efforts in face mask recognition. Based on the previous work, it is crucial to develop a face mask recognition system swiftly using offthe-shelf techniques, while it is equally important to ensure that the system's performance and efficiency meet the requirements of real-life scenarios. In this paper, we propose a two-fold face mask recognition method, by first detecting faces in an image using YuNet and then recognizing whether the faces are wearing a mask or not using MobileNet. After validation on a self-built dataset, compared to similar related works, our method can effectively improve the face detection rate, even in situations of occlusion and blurring, and the detection and recognition efficiency has been significantly improved too.

Citation Download Citation

Chongxiao Qu, Jiping Zheng, Yongjin Zhang, Changjun Fan, and Shuo Liu "A swift and efficient method for face mask recognition based on off-the-shelf models", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 1270917 (19 October 2023); https://doi.org/10.1117/12.2685006

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KEYWORDS

Facial recognition systems

Object detection

Education and training

Machine learning

Detection and tracking algorithms

Convolution

Data modeling

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