An Algorithmfor The Automatic Mask Detection Using Yolo-V2 And Resnet-50 In Matlab

Since Dec'19 to nowadays, all over the world are suffering from disease named COVID-19. COVID-19 has been come down on private and public sectors of all countries. The medical managementbecomes very dangerous. Many precautionary actions take to decrese the spread of the virus. We use sanitizer, hand-cleaner, wear a facial mask and keep physical distancing as a prevention step from corona-virus. The government frames some rules that must follow to avoid the spread of corona diseases. Some of the rules are not to gather more people in any place and wearing masks.We attempt to develop an automatic mask detection algorithm that can be useful for controlling the spread of corona by identifying the person that is not wearing a mask. In most cities, public places are monitor by CCTV cameras. The system identifies the person who does not wear a mask properly sent such information to the concerned authority. We use Yolo-v2 and ResNet-50 containing image set that consists images of people of wearing mask and not wearing the mask. We collect images of different persons from various places. We hope that the proposed system will help to cut down the circulation of the disease.