PREVENT OF CORONAVIRUS DISEASES WITH HELP OF FACE MASK DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORKS

Abstract

Current scenario of COVID-19 (Corona Virus Disease) pandemic makes almost everyone to wear a mask in order to effectively prevent the spread of the virus. Wearing the face mask is one of the remedial and preventive measures for avoiding the spread of corona virus. Many researchers have introduced and developed traditional and machine learning based face detection model. But still we are lacking in obtain the accurate accuracy of face mask detection. In order to improve the accuracy of face mask detection, we have introduced an automatic face mask detection system using Deep Convolutional Neural Networks (Deep CNN). For evaluating the experimental results, we have used the Real-world Masked Face Recognition Dataset (RMFRD) and the system obtained the 98% of accuracy which outperformed than other classification models.