Face Mask Detection on LabVIEW

Authors : Gülyeter ÖZTÜRK, Osman ELDOĞAN, Durmuş KARAYEL, Gökhan ATALI

Pages : 9-18

View : 59 | Download : 13

Publication Date : 2021-09-30

Article Type : Research Paper

Abstract :The world is facing a huge health crisis due to the coronavirus pandemic insert ignore into journalissuearticles values(COVID-19);. The World Health Organization insert ignore into journalissuearticles values(WHO); has issued that the most effective preventive measure against the rapid spread of coronavirus is wearing a mask and keeping social distance in public places and crowded areas. Various studies have proven that wearing a face mask significantly reduces the risk of viral transmission, and also provides a sense of protection for people. But it is difficult to monitor and control people manually, especially in crowded areas. In this study, a deep learning model is proposed to automatically detect people wearing face masks or not. The pre-trained Faster R-CNN Inception V2 deep learning model is fine-tuned with the transfer learning method and trained and tested on the Simulated Masked Face Dataset insert ignore into journalissuearticles values(SMFD);. The model trained in the TensorFlow environment is accurate enough to detect the face mask. Thus, face mask detection is performed with the interface created on LabVIEW and a safe working environment can be maintained by controlling security violations in public living areas under control.
Keywords : COVID 19, face mask, deep learning, faster R CNN inception V2, transfer learning

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