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After a rapid spread of Coronavirus (COVID – 19) in Wuhan –China in December 2019 ,World Health Organization (WHO) confirmed that this was a dangerous virus that could spread from person to person through droplets and airborne contaminants. To prevent the spread of Covid19,people should wear mask during this pandemic. Many new models are developed utilizing convolutional Neural Network to build a model as accurately as possible . The method proposed in this project uses the ResNet model to obtain multiple faces with a single (SSD – Single Shot Multibox Detector) image using a network (model) and MobileNetV2 Architecture used as face mask detector. This system should be used in Real-time applications which require face mask detection for safety purpose due to the outbreak of Covid-19.

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