Real Time Face Mask Identification Using Deep Learning. Issue 1 (May 2021)

• Record Type: Journal Article
• Authors: Sujaritha, M; Kabilan, S; Manikandan, M; Kisore, S Nanda
• Is Part Of: Journal of physics. Volume 1916:Issue 1(2021)
• Publication Date: 2021-05
• Subjects: COVID-19 -- Face Mask -- Segmentation -- Deep Learning algorithm -- Prediction; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1916/1/012077
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Corona virus disease (COVID-19), one of the most life-threatening diseases which is highly harmful to the people in all over the world. The government of all countries in the world are in the situation to make effective steps to prevent the spread of COVID-19 in the society. If this situation continuous means the extinction of human beings may possible. So, the foremost action towards the virus is to stop spreading from the infected to the non-infected persons. To prevent spreading of the virus, one has to maintain social distancing from other people and personal hygiene. The main mode of transmission of the COVID-19 is by the droplets of saliva and the discharge from the nose. The governments laid a strict rule to wear a mask in the public places to prevent the spreading of the virus. Various technological techniques are well applied in pandemic studies. In this case we applied a deep learning algorithm to determine whether or not an individual is wearing a face mask. This research resulted in identification of face mask in the public places which results in the lowering of spread of the virus. This model is developed using the Convolutional Neural Network (CNN). It extracts the facial landmarks of the person and finds the face mask region. It is trained by datasets and predicts the result.