COVID-19 is one of the challenging task that has caused huge problem in our country. To reduce the spread of coronavirus. The World Health Organization (WHO) has recommended to wear mask and use sanitizer and maintain distance. People used to often wear mask. To reduce this pandemic, the researchers are trying to find solution to these problems. We have developed a new algorithm that is based on deep learning and computer vision. Convolutional neural network algorithm is being used and we make use of MobileNetV2 architecture for image detection.The CNN will abstract all the pixel details.In this we also make use of binary classifier which will find any face is being present in the frame irrespective of its arrangement, starting from RGB image of any size. Training the dataset is done with fully convolutional network. It helps in detecting multiple face in a single frame.
Article Details
Unique Paper ID: 151909
Publication Volume & Issue: Volume 8, Issue 1
Page(s): 1225 - 1228
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